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Publications

Books

Chalup, S, Suthakorn, J, Niemueller, T & Williams, MA 2019, Preface.

Stoianoff, NP, Chilton, F & Monotti, AL 2019, Commercialisation of Intellectual Property, First, Lexis Nexis Butterworths, Chatswood, Sydney.
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Chapters

Alshehri, M, Hussain, F, Elkhodr, M & Alsinglawi, B 2019, 'A Distributed Trust Management Model for the Internet of Things (DTM-IoT)' in Recent Trends and Advances in Wireless and IoT-enabled Networks, Springer, Switzerland, pp. 1-10.
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Dasgupta, A, Gill, A & Hussain, F 2019, 'Privacy of IoT-Enabled Smart Home Systems' in IoT and Smart Home Automation, IntechOpen, USA.
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Kacprzyk, J, Kondratenko, YP, Merigó, JM, Hormazabal, JH, Sirbiladze, G & Gil-Lafuente, AM 2019, 'A Status Quo Biased Multistage Decision Model for Regional Agricultural Socioeconomic Planning Under Fuzzy Information' in Studies in Systems, Decision and Control, Springer, Germany, pp. 201-226.
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Yin, Z, Liu, W & Chawla, S 2019, 'Adversarial Attack, Defense, and Applications with Deep Learning Frameworks' in Alazab, M & Tang, M (eds), Deep Learning Applications for Cyber Security, Springer, Germany, pp. 1-25.
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Journal articles

Abidi, S, Piccardi, M, Tsang, WH & Williams, M-A 2019, 'Well-M³N: A Maximum-Margin Approach to Unsupervised Structured Prediction', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 6, pp. 427-439.
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Alam, M, Wu, T, Xu, X, He, X, Tsang, K & Rayes, A 2019, 'Editorial: Dependable wireless industrial communications', Transactions on Emerging Telecommunications Technologies, vol. 30, no. 11.
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Alfaro-García, VG, Merigó, JM, Plata-Pérez, L, Alfaro-Calderón, GG, Gil-Lafuente, AM & Merigo Lindahl, JM 2019, 'Induced and logarithmic distances with multi-region aggregation operators', Technological and Economic Development of Economy, vol. 25, no. 4, pp. 664-692.
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Alshehri, MD & Hussain, FK 2019, 'A fuzzy security protocol for trust management in the internet of things (Fuzzy-IoT)', Computing, vol. 101, pp. 791-818.
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Altaee, A, Braytee, A, Millar, GJ & Naji, O 2019, 'Energy efficiency of hollow fibre membrane module in the forward osmosis seawater desalination process', JOURNAL OF MEMBRANE SCIENCE, vol. 587.
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Amirbagheri, K, Núñez-Carballosa, A, Guitart-Tarrés, L & Merigó, JM 2019, 'Research on green supply chain: a bibliometric analysis', Clean Technologies and Environmental Policy, vol. 21, no. 1, pp. 3-22.
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Amiri, M, Tofigh, F, Shariati, N, Lipman, J & Abolhasan, M 2019, 'Miniature tri-wideband Sierpinski-Minkowski fractals metamaterial perfect absorber', IET Microwaves, Antennas and Propagation, vol. 13, no. 7, pp. 991-996.
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Anderson, C, Hafen, R, Sofrygin, O, Ryan, L & members of the HBGDki Community 2019, 'Comparing predictive abilities of longitudinal child growth models.', Statistics in Medicine, vol. 38, pp. 3555-3570.
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Andrade-Valbuena, NA, Merigó-Lindahl, JM, Fernández, LV & Alarcón, CN 2019, 'Mapping leading universities in strategy research: Three decades of collaborative networks', Cogent Business and Management, vol. 6, no. 1.
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Aravanis, T, Peppas, P & Williams, MA 2019, 'An investigation of parametrized difference revision operators', Annals of Mathematics and Artificial Intelligence.
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Aravanis, TI, Peppas, P & Williams, MA 2019, 'Full characterization of Parikh's Relevance-Sensitive Axiom for Belief Revision', Journal of Artificial Intelligence Research, vol. 66, pp. 765-792.
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Arockia Baskaran, AGR, Nanda, P, Nepal, S & He, X 2019, 'Testbed Evaluation of Lightweight Authentication Protocol(LAUP) fo r6LoWPAN wireless sensor networks', Concurrency and Computation: Practice and Experience, vol. 31, no. 23.
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Awwad, S, Tarvade, S, Piccardi, M & Gattas, DJ 2019, 'The use of privacy-protected computer vision to measure the quality of healthcare worker hand hygiene', International Journal for Quality in Health Care, vol. 31, no. 1, pp. 36-42.
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Baier-Fuentes, H, Merigó, JM, Amorós, JE & Gaviria-Marín, M 2019, 'International entrepreneurship: a bibliometric overview', The International Entrepreneurship and Management Journal, vol. 15, pp. 385-429.
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Ben, X, Gong, C, Zhang, P, Jia, X, Wu, Q & Meng, W 2019, 'Coupled Patch Alignment for Matching Cross-View Gaits', IEEE Transactions on Image Processing, vol. 28, no. 6, pp. 3142-3157.
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Beydoun, G, Abedin, B, Merigo Lindahl, JM & Vera, M 2019, 'Twenty Years of Information Systems Frontiers', Information Systems Frontiers, vol. 21, no. 2, pp. 485-494.
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Blanco-Mesa, F, León-Castro, E & Merigó, JM 2019, 'A bibliometric analysis of aggregation operators', Applied Soft Computing Journal, vol. 81, pp. 1-21.
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Blanco-Mesa, F, León-Castro, E, Merigo Lindahl, JM & Herrera-Viedma, E 2019, 'Variances with Bonferroni means and ordered weighted averages', International Journal of Intelligent Systems, vol. 34, no. 11, pp. 3020-3045.
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Blanco-Mesa, F, León-Castro, E, Merigó, JM & Xu, Z 2019, 'Bonferroni means with induced ordered weighted average operators', International Journal of Intelligent Systems, vol. 34, no. 1, pp. 3-23.
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Braytee, A, Liu, W, Anaissi, A & Kennedy, PJ 2019, 'Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance', ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, no. 5.

Cancino, CA, Amirbagheri, K, Merigó, JM & Dessouky, Y 2019, 'A bibliometric analysis of supply chain analytical techniques published in Computers & Industrial Engineering', Computers and Industrial Engineering, vol. 137.
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Cancino, CA, Núñez, A & Merigo Lindahl, JM 2019, 'Influence of a seed capital program for supporting high growth firms in Chile', Contaduria y Administracion, vol. 64, no. 1, pp. 1-14.
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CAO, X, Qiu, B & Xu, G 2019, 'BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data', Pattern Analysis and Applications, vol. 22, no. 3, pp. 1015-1027.
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Cao, X, Qiu, B, Li, X, Shi, Z, Xu, G & Xu, J 2019, 'Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 6, pp. 1867-1880.
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Chacon, D, Braytee, A, Huang, Y, Thoms, J, Subramanian, S, Sauerland, MC, Bohlander, SK, Braess, J, Wörmann, BJ, Berdel, WE, Hiddemann, W, Gabrys, B, Metzeler, KH, Herold, T, Pimanda, J & Beck, D 2019, 'Prospective Identification of Acute Myeloid Leukemia Patients Who Benefit from Gene-Expression Based Risk Stratification', Blood, vol. 134, no. Supplement_1, pp. 1397-1397.
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Cheng, H, Zhang, J, Wu, Q & An, P 2019, 'A computational model for stereoscopic visual saliency prediction', IEEE Transactions on Multimedia, vol. 21, no. 3, pp. 678-689.
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Chiu, SK, Orive, SL, Moon, MJ, Saw, J, Ellis, S, Kile, BT, Huang, Y, Chacon, D, Pimanda, JE, Beck, D, Hamilton, JR, Tremblay, CS & Curtis, DJ 2019, 'Shared roles for Scl and Lyl1 in murine platelet production and function.', Blood, vol. 134, no. 10, pp. 826-835.
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Chivukula, A & Liu, W 2019, 'Adversarial Deep Learning Models with Multiple Adversaries', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 6, pp. 1066-1079.
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Cutler, RL, Torres-Robles, A, Wiecek, E, Drake, B, Van der Linden, N, Benrimoj, SIC & Garcia-Cardenas, V 2019, 'Pharmacist-led medication non-adherence intervention: reducing the economic burden placed on the Australian health care system.', Patient Preference and Adherence, vol. 13, pp. 853-862.
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Dai, M, Cheng, S, He, X & Wang, D 2019, 'Object tracking in the presence of shaking motions', Neural Computing and Applications, vol. 31, pp. 5917-5934.
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Ding, G, Zhang, S, Khan, S, Tang, Z, Zhang, J & Porikli, F 2019, 'Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification', IEEE Transactions on Multimedia, vol. 21, no. 11, pp. 2891-2902.
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Dong, X, Qiu, P, Lu, J, Cao, L & Xu, T 2019, 'Mining Top- k Useful Negative Sequential Patterns via Learning.', IEEE transactions on neural networks and learning systems, vol. 30, no. 9, pp. 2764-2778.
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Esmaili, N, Piccardi, M, Kruger, B & Girosi, F 2019, 'Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models (vol 13, e0206274, 2018)', PLOS ONE, vol. 14, no. 4.
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Etchebarne, MS, Cancino, CA & Merigo Lindahl, JM 2019, 'Evolution of the business and management research in Chile', International Journal of Technology, Policy and Management, vol. 19, no. 2, pp. 108-130.
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Feng, X, Hormuth, DA & Yankeelov, TE 2019, 'An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging.', Comput Mech, vol. 63, no. 2, pp. 159-180.
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Gaviria-Marin, M, Merigo Lindahl, JM & Baier-Fuentes, H 2019, 'Knowledge management: A global examination based on bibliometric analysis', Technological Forecasting and Social Change, vol. 140, pp. 194-220.
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Guo, B, Ouyang, Y, Guo, T, Cao, L & Yu, Z 2019, 'Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review', IEEE Access, vol. 7, pp. 68557-68571.
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Guo, D, Lui, GYL, Lai, SL, Wilmott, JS, Tikoo, S, Jackett, LA, Quek, C, Brown, DL, Sharp, DM, Kwan, RYQ, Chacon, D, Wong, JH, Beck, D, van Geldermalsen, M, Holst, J, Thompson, JF, Mann, GJ, Scolyer, RA, Stow, JL, Weninger, W, Haass, NK & Beaumont, KA 2019, 'RAB27A promotes melanoma cell invasion and metastasis via regulation of pro-invasive exosomes.', International Journal of Cancer, vol. 144, no. 12, pp. 3070-3085.
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Guo, D, Wang, Q, Liang, M, Liu, W & Nie, J 2019, 'Molecular Cavity Topological Representation for Pattern Analysis: A NLP Analogy-Based Word2Vec Method.', International journal of molecular sciences, vol. 20, no. 23.
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Guo, T, Pan, S, Zhu, X & Zhang, C 2019, 'CFOND: Consensus Factorization for Co-Clustering Networked Data', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 4, pp. 706-719.
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Han, B, Tsang, IW, Chen, L, Zhou, JT & Yu, CP 2019, 'Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels.', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3774-3787.
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Hao, S, Shi, C, Niu, Z & Cao, L 2019, 'Modeling positive and negative feedback for improving document retrieval', Expert Systems with Applications, vol. 120, pp. 253-261.
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He, X, Li, Y & Zheng, M 2019, 'Heterogeneous Agent Models in Financial Markets: A Nonlinear Dynamics Approach', International Review of Financial Analysis, vol. 62, pp. 135-149.
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He, X-Z 2019, 'Carl Chiarella, Willi Semmler, Chih-Ying Hsiao and Lebogang Mateane: Sustainable Asset Accumulation and Dynamic Portfolio Decisions, Dynamic Modelling and Econometrics in Economics and Finance 18', Computational Economics, vol. 53, no. 4, pp. 1397-1401.
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Hesamian, MH, Jia, W, He, X & Kennedy, P 2019, 'Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.', Journal of Digital Imaging, vol. 32, no. 4, pp. 582-596.
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Hu, L, Chen, Q, Cao, L, Jian, S, Zhao, H & Cao, J 2019, 'Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis', IEEE Access, vol. 7, pp. 98639-98651.
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Huang, L, Zhang, J, Zuo, Y & Wu, Q 2019, 'Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-Residual Network', IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1723-1727.
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Huang, L, Zhe, T, Wu, J, Wu, Q, Pei, C & Chen, D 2019, 'Robust Inter-Vehicle Distance Estimation Method Based on Monocular Vision', IEEE Access, vol. 7, pp. 46059-46070.
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Huang, X, An, P, Cao, F, Liu, D & Wu, Q 2019, 'Light-field compression using a pair of steps and depth estimation', Optics Express, vol. 27, no. 3, pp. 3557-3573.
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Huang, Y, Xu, J, Wu, Q, Zheng, Z, Zhang, Z & Zhang, J 2019, 'Multi-pseudo Regularized Label for Generated Data in Person Re-Identification.', IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1391-1403.
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Huang, Y, Zhong, Y, Wu, Q, Dutkiewicz, E & Jiang, T 2019, 'Cost-Effective Foliage Penetration Human Detection under Severe Weather Conditions based on Auto-Encoder/Decoder Neural Network', IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6190-6200.
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Jan, MA, Usman, M, He, X & Rehman, AU 2019, 'SAMS: A Seamless and Authorized Multimedia Streaming framework for WMSN-based IoMT', IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1576-1583.
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Jian, S, Pang, G, Cao, L, Lu, K & Gao, H 2019, 'CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning', IEEE Transactions on Knowledge and Data Engineering, vol. 14, no. 8, pp. 1-14.
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Jiang, S, Li, K & Xu, YDR 2019, 'Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 8, pp. 1595-1609.
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Jiang, X, Pan, S, Long, G, Xiong, F, Jiang, J & Zhang, C 2019, 'Cost-sensitive parallel learning framework for insurance intelligence operation', IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9713-9723.
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Jin, Y, Wu, H, Merigo Lindahl, JM & Peng, B 2019, 'Generalized Hamacher aggregation operators for intuitionistic uncertain linguistic sets: Multiple attribute group decision making methods', Information (Switzerland), vol. 10, no. 6.
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Jung, JY, Kang, P-W, Kim, E, Chacon, D, Beck, D & McNevin, D 2019, 'Ancestry informative markers (AIMs) for Korean and other East Asian and South East Asian populations.', International Journal of Legal Medicine, vol. 133, no. 6, pp. 1711-1719.
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Kacprzyk, J, Yager, RR & Merigo, JM 2019, 'Towards human-centric aggregation via ordered weighted aggregation operators and linguistic data summaries: A new perspective on zadeh's inspirations', IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 16-30.
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Khan, AA, Abolhasan, M, Ni, W, Lipman, J & Jamalipour, A 2019, 'A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs', IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 68, no. 7, pp. 6964-6974.
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Khuat, TT & Le, MH 2019, 'Binary teaching–learning-based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction', Soft Computing, vol. 23, no. 20, pp. 9919-9935.
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Khuat, TT & Le, MH 2019, 'Ensemble learning for software fault prediction problem with imbalanced data', International Journal of Electrical and Computer Engineering, vol. 9, no. 4, pp. 3241-3246.
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Khuat, TT, Chen, F & Gabrys, B 2019, 'An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network', IEEE Transactions on Fuzzy Systems.
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Krivtsov, AV, Evans, K, Gadrey, JY, Eschle, BK, Hatton, C, Uckelmann, HJ, Ross, KN, Perner, F, Olsen, SN, Pritchard, T, McDermott, L, Jones, CD, Jing, D, Braytee, A, Chacon, D, Earley, E, McKeever, BM, Claremon, D, Gifford, AJ, Lee, HJ, Teicher, BA, Pimanda, JE, Beck, D, Perry, JA, Smith, MA, McGeehan, GM, Lock, RB & Armstrong, SA 2019, 'A Menin-MLL Inhibitor Induces Specific Chromatin Changes and Eradicates Disease in Models of MLL-Rearranged Leukemia.', Cancer cell, vol. 36, no. 6, pp. 660-673.
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Kumar, P, Beck, D, Galeev, R, Thoms, JAI, Talkhoncheh, MS, de Jong, I, Unnikrishnan, A, Baudet, A, Subramaniam, A, Pimanda, JE & Larsson, J 2019, 'HMGA2 promotes long-term engraftment and myeloerythroid differentiation of human hematopoietic stem and progenitor cells.', Blood Advances, vol. 3, no. 4, pp. 681-691.
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La Paz, A, Merigo, JM, Powell, P, Ramaprasad, A & Syn, T 2019, 'Twenty-five years of the Information Systems Journal: A bibliometric and ontological overview', INFORMATION SYSTEMS JOURNAL, vol. 30, no. 3, pp. 431-457.
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Lan, C, Peng, H, Hutvagner, G & Li, J 2019, 'Construction of competing endogenous RNA networks from paired RNA-seq data sets by pointwise mutual information.', BMC genomics, vol. 20, no. Suppl 9.
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León-Castro, E, Espinoza-Audelo, LF, Aviles-Ochoa, E, Merigó, JM & Kacprzyk, J 2019, 'A new measure of volatility using induced heavy moving averages', Technological and Economic Development of Economy, vol. 25, no. 4, pp. 576-599.
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León-Castro, E, Merigó, JM, Avilés-Ochoa, E, Gil-Lafuente, AM & Herrera-Viedma, E 2019, 'Modelling and simulation in business, economics and management', Technological and Economic Development of Economy, vol. 25, no. 4, pp. 571-575.
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Li, C, Xie, H, Fan, X, Xu, RYD, Huffel, SV, Sisson, SA & Mengersen, K 2019, 'Image denoising based on nonlocal Bayesian singular value thresholding and Stein’s unbiased risk estimator', IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4899-4911.
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Liang, H, Wang, H, Li, Q, Wang, J, Xu, G, Chen, J, Wei, JM & Yang, Z 2019, 'A general framework for learning prosodic-enhanced representation of rap lyrics', World Wide Web, vol. 22, no. 6, pp. 2267-2289.
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Liang, T, Chen, L, Wu, J, Xu, G & Wu, Z 2019, 'SMS: A Framework for Service Discovery by Incorporating Social Media Information', IEEE Transactions on Services Computing, vol. 12, no. 3, pp. 384-397.
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Lin, L, Xu, L, Huang, Y, Xiang, Y & He, X 2019, 'On exploiting priority relation graph for reliable multi-path communication in mobile social networks', Information Sciences, vol. 477, pp. 490-507.
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Linares-Mustarós, S, Ferrer-Comalat, JC, Corominas-Coll, D & Merigó, JM 2019, 'The ordered weighted average in the theory of expertons', International Journal of Intelligent Systems, vol. 34, no. 3, pp. 345-365.
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Liu, B, Chen, L, Zhu, X & Qiu, W 2019, 'Encrypted data indexing for the secure outsourcing of spectral clustering', Knowledge and Information Systems, vol. 60, no. 3, pp. 1307-1328.
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Liu, L, Amirgholipour, S, Jiang, J, Jia, W, Zeibots, M, He, X & Amirgholipour Kasmani, S 2019, 'Performance-enhancing network pruning for crowd counting', Neurocomputing, vol. 360, pp. 246-253.
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Liu, M, He, Y, Xue, Z, He, X & Chen, J 2019, 'MultiScan: A Private Online Virus Detection System', IEEE Consumer Electronics Magazine, vol. 8, no. 6, pp. 53-55.
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Liu, M, Xue, Z, He, X & Chen, J 2019, 'Cyberthreat-Intelligence Information Sharing: Enhancing Collaborative Security', IEEE Consumer Electronics Magazine, vol. 8, no. 3, pp. 17-22.
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Liu, PY, Tee, AE, Milazzo, G, Hannan, KM, Maag, J, Mondal, S, Atmadibrata, B, Bartonicek, N, Peng, H, Ho, N, Mayoh, C, Ciaccio, R, Sun, Y, Henderson, MJ, Gao, J, Everaert, C, Hulme, AJ, Wong, M, Lan, Q, Cheung, BB, Shi, L, Wang, JY, Simon, T, Fischer, M, Zhang, XD, Marshall, GM, Norris, MD, Haber, M, Vandesompele, J, Li, J, Mestdagh, P, Hannan, RD, Dinger, ME, Perini, G & Liu, T 2019, 'The long noncoding RNA lncNB1 promotes tumorigenesis by interacting with ribosomal protein RPL35', Nature Communications, vol. 10, no. 1.
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Liu, Y, Yu, Y, Dinger, ME & Li, J 2019, 'Index suffix-prefix overlaps by (w, k)-minimizer to generate long contigs for reads compression.', Bioinformatics, vol. 35, no. 12, pp. 2066-2074.
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Liu, Y, Zhang, LY, Li, J & Hancock, J 2019, 'Fast detection of maximal exact matches via fixed sampling of query K-mers and Bloom filtering of index K-mers', Bioinformatics, vol. 35, no. 22, pp. 4560-4567.
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Llanos-Herrera, GR & Merigo Lindahl, JM 2019, 'Overview of brand personality research with bibliometric indicators', Kybernetes, vol. 48, no. 3, pp. 546-569.
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Luo, M, Yan, C, Zheng, Q, Chang, X, Chen, L & Nie, F 2019, 'Discrete Multi-Graph Clustering', IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4701-4712.
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Luo, X, Shi, C, Zeng, HQ, Ewurum, HC, Wan, Y, Guo, Y, Pagnha, S, Zhang, XB, Du, YP & He, X 2019, 'Evolutionarily Optimized Electromagnetic Sensor Measurements for Robust Surgical Navigation', IEEE Sensors Journal, vol. 19, no. 22, pp. 10859-10868.
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Makhdoom, I, Abolhasan, M, Lipman, J, Liu, RP & Ni, W 2019, 'Anatomy of Threats to The Internet of Things', Communications Surveys and Tutorials, IEEE Communications Society, vol. 21, no. 2, pp. 1636-1675.
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Manzoor, M, Hussain, W, Sohaib, O, Hussain, FK & Alkhalaf, S 2019, 'Methodological investigation for enhancing the usability of university websites', Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 2, pp. 531-549.
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Martin, F, Cahill, A, Wright, E & Stoianoff, N 2019, 'An international approach to establishing a Competent Authority to manage and protect traditional knowledge', Alternative Law Journal, vol. 44, no. 1, pp. 48-55.
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Mas-Tur, A, Modak, NM, Merigó, JM, Roig-Tierno, N, Geraci, M & Capecchi, V 2019, 'Half a century of Quality & Quantity: a bibliometric review', Quality and Quantity, vol. 53, no. 2, pp. 981-1020.
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Merigo Lindahl, JM, Cobo, MJ, Laengle, S, Rivas, D & Herrera-Viedma, E 2019, 'Twenty years of Soft Computing: a bibliometric overview', Soft Computing, vol. 23, no. 5, pp. 1477-1497.
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Merigo Lindahl, JM, Miranda, J, Modak, NM, Boustras, G & de la Sotta, C 2019, 'Forty years of Safety Science: A bibliometric overview', Safety Science, vol. 115, pp. 66-88.
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Merigo Lindahl, JM, Muller, C, Modak, NM & Laengle, S 2019, 'Research in Production and Operations Management: A University-Based Bibliometric Analysis', Global Journal of Flexible Systems Management, vol. 20, no. 1, pp. 1-29.
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Merigó, JM & Yager, RR 2019, 'Aggregation operators with moving averages', Soft Computing, vol. 23, no. 21, pp. 10601-10615.
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Milfont, TL, Amirbagheri, K, Hermanns, E & Merigó, JM 2019, 'Celebrating Half a Century of Environment and Behavior: A Bibliometric Review', Environment and Behavior, vol. 51, no. 5, pp. 469-501.
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Modak, NM, Merigo Lindahl, JM, Weber, R, Manzor, F & Ortúzar, JDD 2019, 'Fifty years of Transportation Research journals: A bibliometric overview', Transportation Research Part A: Policy and Practice, vol. 120, pp. 188-223.
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Mulet-Forteza, C, Genovart-Balaguer, J, Mauleon-Mendez, E & Merigó, JM 2019, 'A bibliometric research in the tourism, leisure and hospitality fields', Journal of Business Research, vol. 101, pp. 819-827.
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Mulet-Forteza, C, Genovart-Balaguer, J, Merigó, JM & Mauleon-Mendez, E 2019, 'Bibliometric structure of IJCHM in its 30 years', International Journal of Contemporary Hospitality Management, vol. 31, no. 12, pp. 4574-4604.
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Musial, K, Brodka, P & De Meo, P 2019, 'Analysis and Applications of Complex Social Networks 2018', COMPLEXITY.
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Nanda, A, Nanda, P, He, X, Jamdagni, A & Puthal, D 2019, 'A hybrid encryption technique for Secure-GLOR: The adaptive secure routing protocol for dynamic wireless mesh networks', Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications.
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Nawaz, F, Hussain, O, Hussain, FK, Janjua, NK, Saberi, M & Chang, E 2019, 'Proactive management of SLA violations by capturing relevant external events in a Cloud of Things environment', Future Generation Computer Systems, vol. 95, pp. 26-44.
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Nicolas, C, Valenzuela-Fernandez, L & Merigó, JM 2019, 'Mapping retailing research with bibliometric indicators', Journal of Promotion Management: innovations in planning and applied research, vol. 25, no. 5, pp. 664-680.
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Odriozola-Fernández, I, Berbegal-Mirabent, J & Merigo Lindahl, JM 2019, 'Open innovation in small and medium enterprises: a bibliometric analysis', Journal of Organizational Change Management, vol. 32, no. 5, pp. 533-557.
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Oltra-Badenes, R, Gil-Gomez, H, Merigo, JM & Palacios-Marques, D 2019, 'Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector.', PloS one, vol. 14, no. 7.
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Pan, S, Hu, R, Fung, S-F, Long, G, Jiang, J & Zhang, C 2019, 'Learning Graph Embedding with Adversarial Training Methods', IEEE Transactions on Cybernetics.

Patel, OP, Tiwari, A, Chaudhary, R, Nuthalapati, SV, Bharill, N, Prasad, M, Hussain, FK & Hussain, OK 2019, 'Enhanced quantum-based neural network learning and its application to signature verification', Soft Computing, vol. 23, no. 9, pp. 3067-3080.
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Pérez-Arellano, LA, León-Castro, E, Avilés-Ochoa, E & Merigo Lindahl, JM 2019, 'Prioritized induced probabilistic operator and its application in group decision making', International Journal of Machine Learning and Cybernetics, vol. 10, no. 3, pp. 451-462.
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Qiao, C, Lu, L, Yang, L & Kennedy, PJ 2019, 'Identifying brain abnormalities with schizophrenia based on a hybrid feature selection technology', Applied Sciences (Switzerland), vol. 9, no. 10.
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Raza, M, Hussain, FK, Hussain, OK, Zhao, M & Rehman, ZU 2019, 'A comparative analysis of machine learning models for quality pillar assessment of SaaS services by multi-class text classification of users’ reviews', Future Generation Computer Systems, vol. 101, pp. 341-371.
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Razzak, I, Hameed, IA & Xu, G 2019, 'Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals', IEEE Journal of Translational Engineering in Health and Medicine, vol. 7.
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Razzak, I, Imran, M & Xu, G 2019, 'Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks', IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 5, pp. 1911-1919.
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Razzak, MI, Blumenstein, M & Xu, G 2019, 'Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 6, pp. 1117-1127.
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Rialp, A, Merigo Lindahl, JM, Cancino, CA & Urbano, D 2019, 'Twenty-five years (1992–2016) of the International Business Review: A bibliometric overview', International Business Review, vol. 28, no. 6.
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Roselin, AG, Nanda, P, Nepal, S, He, X & Wright, J 2019, 'Exploiting the Remote Server Access Support of CoAP Protocol', IEEE Internet of Things Journal, vol. 6, no. 6, pp. 9338-9349.
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Ryan, L 2019, 'Four papers on child growth modelling.', Statistics in medicine, vol. 38, no. 19, pp. 3505-3506.
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Saeed, Z, Abbasi, RA, Maqbool, O, Sadaf, A, Razzak, I, Daud, A, Aljohani, NR & Xu, G 2019, 'What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter', Journal of Grid Computing, vol. 17, no. 2, pp. 279-312.
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Saeed, Z, Abbasi, RA, Razzak, I, Maqbool, O, Sadaf, A & Xu, G 2019, 'Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks', Expert Systems with Applications, vol. 136, pp. 115-132.
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Saeed, Z, Ayaz Abbasi, R, Razzak, MI & Xu, G 2019, 'Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach', IEEE Computational Intelligence Magazine, vol. 14, no. 3, pp. 29-38.
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Salamai, A, Hussain, OK, Saberi, M, Chang, E & Hussain, FK 2019, 'Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management', IEEE Access, vol. 7, pp. 49297-49315.
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Salvador, MM, Budka, M & Gabrys, B 2019, 'Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA', IEEE Transactions on Automation Science and Engineering, vol. 16, no. 2, pp. 1-14.
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Seifollahi, S, Bagirov, A, Zare Borzeshi, E & Piccardi, M 2019, 'A simulated annealing‐based maximum‐margin clustering algorithm', Computational Intelligence, vol. 35, pp. 23-41.
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Shen, W, Wu, Y, Yuan, J, Duan, L, Zhang, J & Jia, Y 2019, 'Robust Distracter-Resistive Tracker via Learning a Multi-Component Discriminative Dictionary', IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 7, pp. 2012-2028.
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Song, X, Fan, X, Xiang, C, Ye, Q, Liu, L, Wang, Z, He, X, Yang, N & Fang, G 2019, 'A Novel Convolutional Neural Network Based Indoor Localization Framework With WiFi Fingerprinting', IEEE Access, vol. 7, pp. 110698-110709.
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Stoianoff, NP 2019, 'Indigenous Knowledge Governance: Developments from the Garuwanga Project', Intellectual Property Forum, no. 117, pp. 9-23.
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Sun, L, Dong, H, Hussain, OK, Hussain, FK & Liu, AX 2019, 'A framework of cloud service selection with criteria interactions', Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, vol. 94, pp. 749-764.
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Tang, T, Liu, Y, Zhang, B, Su, B & Li, J 2019, 'Sketch distance-based clustering of chromosomes for large genome database compression.', BMC genomics, vol. 20, no. Suppl 10, pp. 978-978.
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Thoms, JAI, Beck, D & Pimanda, JE 2019, 'Transcriptional networks in acute myeloid leukemia.', Genes, chromosomes & cancer, vol. 58, no. 12, pp. 859-874.
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Tofigh, F, Amiri, M, Shariati, N, Lipman, J & Abolhasan, M 2019, 'Low-Frequency Metamaterial Absorber Using Space-Filling Curve', Journal of Electronic Materials, vol. 48, pp. 6451-6459.
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Torres Robles, A, Wiecek, E, Cutler, R, Drake, B, Benrimoj, SI, Fernandez-Llimos, F & Garcia Cardenas, M 2019, 'Using dispensing data to evaluate adherence implementation rates in community pharmacy', Frontiers in Pharmacology, vol. 10.
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Usman, M, He, X, Lam, KKM, Xu, M, Chen, J, Bokhari, SMM & Jan, MA 2019, 'Error Concealment for Cloud-based and Scalable Video Coding of HD Videos', IEEE Transactions on Cloud Computing, vol. 7, no. 4, pp. 975-987.
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Usman, M, Jan, MA, He, X & Chen, J 2019, 'A survey on big multimedia data processing and management in smart cities', ACM Computing Surveys, vol. 52, no. 3.
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Usman, M, Jan, MA, He, X & Chen, J 2019, 'A survey on representation learning efforts in cybersecurity domain', ACM Computing Surveys, vol. 52, no. 6.
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Usman, M, Jan, MA, He, X & Chen, J 2019, 'P2DCA: A Privacy-Preserving-Based Data Collection and Analysis Framework for IoMT Applications', IEEE Journal on Selected Areas in Communications, vol. 37, no. 6, pp. 1222-1230.
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Valenzuela Fernandez, LM, Nicolas, C, Arroyo-Cañada, FJ & Merigo Lindahl, JM 2019, 'Industrial marketing research. A bibliometric analysis (1990-2015)', Journal of Business and Industrial Marketing, vol. 34, no. 3, pp. 550-560.
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Valenzuela-Fernandez, L, Merigó, JM, Lichtenthal, JD & Nicolas, C 2019, 'A Bibliometric Analysis of the First 25 Years of the Journal of Business-to-Business Marketing', Journal of Business-to-Business Marketing, vol. 26, no. 1, pp. 75-94.
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Vallaster, C, Kraus, S, Lindahl, JMM & Nielsen, A 2019, 'Ethics and entrepreneurship: A bibliometric study and literature review', JOURNAL OF BUSINESS RESEARCH, vol. 99, pp. 226-237.
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van Rijmenam, M, Erekhinskaya, T, Schweitzer, J & Williams, MA 2019, 'Avoid being the turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty', Long Range Planning, vol. 52, no. 5.
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Verma, R & Merigo Lindahl, JM 2019, 'On generalized similarity measures for Pythagorean fuzzy sets and their applications to multiple attribute decision-making', International Journal of Intelligent Systems, vol. 34, no. 10, pp. 2556-2583.
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Verma, R & Merigo Lindahl, JM 2019, 'Variance measures with ordered weighted aggregation operators', International Journal of Intelligent Systems, vol. 34, no. 6, pp. 1184-1205.
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Vo, NNY, He, X, Liu, S & Xu, G 2019, 'Deep learning for decision making and the optimization of socially responsible investments and portfolio', Decision Support Systems, vol. 124.
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Wahid-Ul-Ashraf, A, Budka, M & Musial, K 2019, 'How to predict social relationships — Physics-inspired approach to link prediction', Physica A: Statistical Mechanics and its Applications, vol. 523, pp. 1110-1129.
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Wang, J, Yeh, WC, Xiong, NN, Wang, J, He, X & Huang, CL 2019, 'Building an Improved Internet of Things Smart Sensor Network Based on a Three-Phase Methodology', IEEE Access, vol. 7, pp. 141728-141737.
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Wang, W & Cao, L 2019, 'Negative Sequence Analysis: A Review', ACM COMPUTING SURVEYS, vol. 52, no. 2.
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Wang, Y, Shuai, Y, Zhu, Y, Zhang, J & An, P 2019, 'Jointly learning perceptually heterogeneous features for blind 3D video quality assessment', Neurocomputing, vol. 332, pp. 298-304.
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Williams, MA 2019, 'The Artificial Intelligence race: Will Australia lead or lose?', Journal and Proceedings of the Royal Society of New South Wales, vol. 152, no. 1, pp. 105-114.
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Wu, W, Li, B, Chen, L, Zhang, C & Yu, P 2019, 'Improved Consistent Weighted Sampling Revisited', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 12, pp. 2232-2345.
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Yan, Z, Liu, J & Liu, S 2019, 'DPWeVote: differentially private weighted voting protocol for cloud-based decision-making', Enterprise Information Systems, vol. 13, no. 2, pp. 236-256.
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Yan, Z, Wu, Q, Ren, M, Liu, J, Liu, S & Qiu, S 2019, 'Locally private Jaccard similarity estimation', Concurrency Computation, vol. 31.
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Yang, D, Zou, YX, Zhang, J & Li, G 2019, 'C-RPNs: Promoting object detection in real world via a cascade structure of Region Proposal Networks', Neurocomputing, vol. 367, pp. 20-30.
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Yang, P, Ormerod, JT, Liu, W, Ma, C, Zomaya, AY & Yang, JYH 2019, 'AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.', IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1932-1943.
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Yao, J, Wang, J, Tsang, W, Zhang, Y, Sun, J, Zhang, C & Zhang, R 2019, 'Deep Learning from Noisy Image Labels with Quality Embedding.', IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 28, no. 4, pp. 1909-1922.
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Yao, X, Wu, Q, Zhang, P & Bao, F 2019, 'Adaptive rational fractal interpolation function for image super-resolution via local fractal analysis', Image and Vision Computing, vol. 82, pp. 39-49.
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Yao, Y, Shen, F, Zhang, J, Liu, L, Tang, Z & Shao, L 2019, 'Extracting Multiple Visual Senses for Web Learning', IEEE Transactions on Multimedia, vol. 21, no. 1, pp. 184-196.
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Yao, Y, Shen, F, Zhang, J, Liu, L, Tang, Z & Shao, L 2019, 'Extracting Privileged Information for Enhancing Classifier Learning', IEEE Transactions on Image Processing, vol. 28, no. 1, pp. 436-450.
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Ying, H, Wu, J, Xu, G, Liu, Y, Liang, T, Zhang, X & Xiong, H 2019, 'Time-aware metric embedding with asymmetric projection for successive POI recommendation', World Wide Web, vol. 22, pp. 2209-2224.
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Yu, D, Fu, B, Xu, G & Qin, A 2019, 'Constrained nonnegative matrix factorization-based semi-supervised multi-label learning', International Journal of Machine Learning and Cybernetics, vol. 10, no. 5, pp. 1093-1100.
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Yu, L, Zeng, S, Merigó, JM & Zhang, C 2019, 'A new distance measure based on the weighted induced method and its application to Pythagorean fuzzy multiple attribute group decision making', International Journal of Intelligent Systems, vol. 34, no. 7, pp. 1440-1454.
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Zhan, J, Ge, XJ, Huang, S, Zhao, L, Wong, JKW & He, SXJ 2019, 'Improvement of the inspection-repair process with building information modelling and image classification', Facilities, vol. 37, no. 7-8, pp. 395-414.
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Zhan, K, Chang, X, Guan, J, Chen, L, Ma, Z & Yang, Y 2019, 'Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features.', IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1826-1834.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2019, 'Attributed network embedding via subspace discovery', Data Mining and Knowledge Discovery, vol. 33, no. 6, pp. 1953-1980.
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Zhang, J, Wu, Q, Zhang, J, Shen, C, Lu, J & Wu, Q 2019, 'Heritage image annotation via collective knowledge', PATTERN RECOGNITION, vol. 93, pp. 204-214.
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Zhang, Q, Shi, C, Niu, Z & Cao, L 2019, 'HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 1, pp. 152-165.
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Zhang, Q, Wu, J, Zhang, P, Long, G & Zhang, C 2019, 'Salient Subsequence Learning for Time Series Clustering', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, pp. 2193-2207.
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Zhang, Z, Wu, Q, Wang, Y & Chen, F 2019, 'High-Quality Image Captioning with Fine-Grained and Semantic-Guided Visual Attention', IEEE Transactions on Multimedia, vol. 21, no. 7, pp. 1681-1693.
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Zhanghao, K, Chen, X, Liu, W, Li, M, Liu, Y, Wang, Y, Luo, S, Wang, X, Shan, C, Xie, H, Gao, J, Chen, X, Jin, D, Li, X, Zhang, Y, Dai, Q & Xi, P 2019, 'Super-resolution imaging of fluorescent dipoles via polarized structured illumination microscopy.', Nat Commun, vol. 10, no. 1.
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Zhao, Z, Peng, H, Zhang, X, Zheng, Y, Chen, F, Fang, L & Li, J 2019, 'Identification of lung cancer gene markers through kernel maximum mean discrepancy and information entropy.', BMC medical genomics, vol. 12, no. Suppl 8.
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Zheng, Y, Peng, H, Ghosh, S, Lan, C & Li, J 2019, 'Inverse similarity and reliable negative samples for drug side-effect prediction.', BMC bioinformatics, vol. 19, no. Suppl 13, pp. 554-554.
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Zheng, Y, Peng, H, Zhang, X, Zhao, Z, Gao, X & Li, J 2019, 'DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions.', BMC bioinformatics, vol. 20, no. Suppl 19.
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Zheng, Y, Peng, H, Zhang, X, Zhao, Z, Gao, X & Li, J 2019, 'Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces', BMC BIOINFORMATICS, vol. 20, no. 1.
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Zhu, C, Mesiar, R, Yager, RR, Merigo, J, Qin, J, Feng, X & Jin, L 2019, 'Two-layer preference models with methodologies using induced aggregation in management administration and decision making', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol. 37, no. 1, pp. 1213-1221.
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Zuo, Y, Fang, Y, Yang, Y, Shang, X & Wu, Q 2019, 'Depth Map Enhancement by Revisiting Multi-scale Intensity Guidance within Coarse-to-fine Stages', IEEE Transactions on Circuits and Systems for Video Technology.
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Conferences

Abdo, P, Phuoc Huynh, B, Braytee, A & Taghipour, R 2019, 'Effect of phase change material on temperature in a room fitted with a windcatcher', ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE).
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Abdollahi, M, Abolhasan, M, Shariati, N, Lipman, J, Jamalipour, A & Ni, W 2019, 'A Routing Protocol for SDN-based Multi-hop D2D Communications', 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019, EEE Annual Consumer Communications & Networking Conference, IEEE, USA, pp. 895-898.
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Abdollahi, M, Gao, X, Mei, Y, Ghosh, S & Li, J 2019, 'An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation', 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, 2019 IEEE Congress on Evolutionary Computation, Institute of Electrical and Electronics Engineers, New Zealand, pp. 119-126.
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Akbar, MS & Gabrys, B 2018, 'Data analytics enhanced data visualization and interrogation with parallel coordinates plots', 26th International Conference on Systems Engineering, ICSEng 2018 - Proceedings, International Conference on Systems Engineering, IEEE, Sydney, Australia, Australia.
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Alfaro-Garcia, VG, Merigó, JM, Plata-Pérez, L & Calderón, GGA 2019, 'On Ordered Weighted Logarithmic Averaging Operators and Distance Measures', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, pp. 1472-1477.
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Ali, AR, Budka, M & Gabrys, B 2019, 'A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously', PRICAI 2019: Trends in Artificial Intelligence, Pacific Rim International Conference on Artificial Intelligence, Springer, Yanuca Island, Fiji,, pp. 93-106.
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Ali, AR, Budka, M & Gabrys, B 2019, 'Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation', PRICAI 2019: Trends in Artificial Intelligence, Pacific Rim International Conference on Artificial Intelligence, Springer, Yanuca Island, Fiji., pp. 66-79.
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Aravanis, T, Peppas, P & Williams, MA 2019, 'Observations on darwiche and Pearl's approach for iterated belief revision', IJCAI International Joint Conference on Artificial Intelligence, pp. 1509-1515.
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Ashtari, S, Tofigh, F, Abolhasan, M, Lipman, J & Ni, W 2019, 'Efficient Cellular Base Stations Sleep Mode Control Using Image Matching', 2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), 89th IEEE Vehicular Technology Conference (VTC Spring), IEEE, Kuala Lumpur, MALAYSIA.

Awan, Z, Kahlke, T, Ralph, PJ & Kennedy, PJ 2019, 'Chemical named entity recognition with deep contextualized neural embeddings', IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, pp. 135-144.
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Bekhit, M, Abolhasan, M, Lipman, J, Liu, RP & Ni, W 2018, 'Multi objective resource optimisation for network function virtualisation requests', 26th International Conference on Systems Engineering, ICSEng 2018 - Proceedings, International Conference on Systems Engineering, IEEE, Sydney, Australia.
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Brunker, A, Catchpoole, D, Kennedy, P, Simoff, S & Nguyen, QV 2019, 'Two-dimensional immersive cohort analysis supporting personalised medical treatment', Proceedings - 2019 23rd International Conference in Information Visualization - Part II, IV-2 2019, pp. 34-41.
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Cao, L, Hu, L, Jian, S, Gu, Z, Chen, Q & Amirbekyan, A 2019, 'HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation', Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 3830-3837.
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Cao, L, Xu, P, Deng, Z, Choi, K-S & Wang, S 2019, 'Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data', Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu,Hawaii, USA, pp. 379-386.
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Cetindamar Kozanoglu, D, Kocaoglu, D, Lammers, T & Merigo Lindahl, J 2019, 'A Bibliometric Analysis of Technology Management Research at PICMET for 2009-2018', https://ieeexplore.ieee.org/document/8893667, Portland International Conference for Management of Engineering and Technology, Portland, Oregon, pp. 1-5.
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Chemalamarri, VD, Braun, R, Lipman, J & Abolhasan, M 2018, 'A Multi-agent Controller to enable Cognition in Software Defined Networks', 2018 28th International Telecommunication Networks and Applications Conference (ITNAC), International Telecommunication Networks and Applications Conference, IEEE, Sydney, Australia, pp. 52-56.
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Dasgupta, A, Gill, A & Hussain, F 2019, 'A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems', Proceedings of the 8th International Conference on Data Science, Technology and Applications: DATA, 8th International Conference on Data Science, Technology and Applications, SCITEPRESS – Science and Technology Publications, Prague, Czech Republic, pp. 209-216.
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Dasgupta, A, Gill, A & Hussain, F 2019, 'A Review of General Data Protection Regulation for Supply Chain Ecosystem', https://link.springer.com/chapter/10.1007/978-3-030-22263-5_44, International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, Springer, Cham, Sydney, Australia.
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Do, Q, Verma, S, Chen, F & Liu, W 2019, 'Multiple Knowledge Transfer for Cross-Domain Recommendation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 529-542.
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Du, A, Huang, X, Zhang, J, Yao, L & Wu, Q 2019, 'KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION', 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 26th IEEE International Conference on Image Processing (ICIP), IEEE, Taipei, TAIWAN, pp. 2576-2580.

Fan, X, Xiang, C, Gong, L, He, X, Chen, C & Huang, X 2019, 'Urbanedge: Deep learning empowered edge computing for urban IoT time series prediction', ACM International Conference Proceeding Series, Chengdu.
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Gamal, M, Abolhasan, M, Jafarizadeh, S, Lipman, J & Ni, W 2019, 'Mapping and Scheduling of Virtual Network Functions using Multi Objective Optimization Algorithm', Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019, pp. 328-333.
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Gamal, M, Jafarizadeh, S, Abolhasan, M, Lipman, J & Ni, W 2019, 'Mapping and scheduling for non-uniform arrival of virtual network function (VNF) requests', IEEE Vehicular Technology Conference.
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Gardenfors, P, Williams, M-A, Johnston, B, Billingsley, R, Vitale, J, Peppas, P & Clark, J 2018, 'Event boards as tools for holistic AI', International Workshop on Artificial Intelligence and Cognition, CEUR, Palermo, Italy, pp. 1-10.
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Gudi, SLKC, Ojha, S, Sidra, Johnston, B & Williams, MA 2017, 'A proactive robot tutor based on emotional intelligence', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Springer, Korea, pp. 113-120.
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Hesamian, MH, Jia, W, He, X & Kennedy, PJ 2019, 'Atrous Convolution for Binary Semantic Segmentation of Lung Nodule', ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Brighton. UK, pp. 1015-1019.
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Hu, Z, Chung, YY, Zandavi, SM, Ouyang, W, He, X & Gao, Y 2019, 'High-Performance Light Field Reconstruction with Channel-wise and SAI-wise Attention', Communications in Computer and Information Science, Sydney, pp. 118-126.
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Huang, CL, Shih, YC, Lai, CM, Ying Chung, VY, Zhu, WB, Yeh, WC & He, X 2019, 'Optimization of a Convolutional Neural Network Using a Hybrid Algorithm', Proceedings of the International Joint Conference on Neural Networks, Budapest.
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Huang, H, Xu, J, Zhang, J, Wu, Q & Kirsch, C 2018, 'Railway Infrastructure Defects Recognition using Fine-grained Deep Convolutional Neural Networks', 2018 Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia.
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Huang, H, Zhang, J, Zhang, J, Wu, Q & Xu, J 2019, 'COMPARE MORE NUANCED: PAIRWISE ALIGNMENT BILINEAR NETWORK FOR FEW-SHOT FINE-GRAINED LEARNING', 2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), IEEE International Conference on Multimedia and Expo (ICME), IEEE, Shanghai, PEOPLES R CHINA, pp. 91-96.
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Huang, X, Fan, L, Wu, Q, Zhang, J & Yuan, C 2019, 'FAST REGISTRATION FOR CROSS-SOURCE POINT CLOUDS BY USING WEAK REGIONAL AFFINITY AND PIXEL-WISE REFINEMENT', 2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), IEEE International Conference on Multimedia and Expo (ICME), IEEE, Shanghai, PEOPLES R CHINA, pp. 1552-1557.
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Huang, Y, Wu, Q, Xu, J & Zhong, Y 2019, 'Celebrities-ReID: A Benchmark for Clothes Variation in Long-Term Person Re-Identification', Proceedings of the International Joint Conference on Neural Networks.
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Huang, Y, Wu, Q, Xu, J & Zhong, Y 2019, 'SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification', IEEE International Conference on Computer Vision (ICCV), Seoul, South Korea.

Jauregi Unanue, I, Zare Borzeshi, E, Esmaili, N & Piccardi, M 2019, 'ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems', Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, Minneapolis, pp. 430-436.
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Jian, S, Hu, L, Cao, L, Lu, K & Gao, H 2019, 'Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content', Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 598-605.
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Khuat, TT & Gabrys, B 2019, 'Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer International Publishing, Sydney, Australia, pp. 583-595.
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León-Castro, E, Blanco-Mesa, F & Merigó, JM 2019, 'Weighted Averages in the Ordered Weighted Average Inflation', Advances in Intelligent Systems and Computing, pp. 87-95.
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Li, C, Fan, X, Li, B, Sisson, S & Chen, L 2019, 'Scalable Deep Generative Relational Model with High-Order Node Dependence', Vancouver, Canada.

Li, L, Do, DMQ & Liu, W 2019, 'Cross-Domain Recommendation via Coupled Factorization Machines', Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI Press, Honolulu, Hawaii USA, pp. 9965-9966.
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Li, L, Liu, Z, Zhang, J & Zhou, X 2019, 'Learn Image Object Co-segmentation with Multi-scale Feature Fusion', 2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019.
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Li, Q, Wu, Q & Liu, X 2019, 'Multi-scale and Hierarchical Embedding for Polarity Shift Sensitive Sentiment Classification', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 227-238.
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Li, Q, Wu, Q, Zhu, C & Zhang, J 2019, 'Bi-level Masked Multi-scale CNN-RNN Networks for Short Text Representation', Sydney, Australia.
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Li, Q, Wu, Q, Zhu, C, Zhang, J & Zhao, W 2019, 'An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem', Budapest, Hungary.
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Li, Q, Wu, Q, Zhu, C, Zhang, J & Zhao, W 2019, 'Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, China, pp. 222-236.
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Li, Z, Liu, W, Chang, X, Yao, L, Prakash, M & Zhang, H 2019, 'Domain-Aware Unsupervised Cross-dataset Person Re-identification', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15th International Conference on Advanced Data Mining and Applications, Dalian, China, pp. 406-420.
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Li, Z, Zhang, J, Wu, Q, Gong, Y, Yi, J & Kirsch, C 2019, 'Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points', KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), ASSOC COMPUTING MACHINERY, Anchorage, AK, pp. 2848-2856.
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Li, Z, Zou, Y, Wang, G & Zhang, J 2019, 'Scale-Informed Density Estimation for Dense Crowd Counting', 2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019.
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Liao, Y, Qiu, B, Su, Z, Wang, R & He, X 2019, 'Learning transmission filtering network for image-based pm2.5 estimation', Proceedings - IEEE International Conference on Multimedia and Expo, Shanghai, pp. 266-271.
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Liu, L, Zhou, T, Long, G, Jiang, J & Zhang, C 2019, 'Attribute Propagation Network for Graph Zero-shot Learning', New York.

Liu, L, Zhou, T, Long, G, Yao, L, Jiang, J & Zhang, C 2019, 'Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph', The 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China.

Liu, L, ZHOU, T, Long, GUODONG, Jiang, JING & Zhang, CHENGQI 2019, 'Learning to Propagate for Graph Meta-Learning', The 33rd Conference on Neural Information Processing Systems, CANADA.

Liu, Y, Yan, Y, Chen, L, Han, Y & Yang, Y 2019, 'Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection', Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 4408-4415.
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Madhisetty, S & Williams, MA 2018, 'Managing privacy through key performance indicators when photos and videos are shared via social media', Advances in Intelligent Systems and Computing, Science and Information Conference, Springer, London, United Kingdom, pp. 1103-1117.
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Madhisetty, S & Williams, MA 2018, 'The role of trust and control in managing privacy when photos and videos are stored or shared', Advances in Intelligent Systems and Computing, Future Technologies Conference, Springer, Vancouver, BC (Canada), pp. 127-140.
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Madhisetty, S, Williams, MA, Massy-Greene, J, Franco, L & El Khoury, M 2019, 'How to manage privacy in photos after publication', ICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems, pp. 162-168.
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Mahdavi, F, Hayati, H, Kennedy, P & Eager, D 2019, 'Ageing and resulting injuries – effects on racing greyhounds', European Society of Biomechanics, Vienna, Austria.

Mahdavi, F, Hayati, H, Kennedy, P & Eager, D 2019, 'Effects of the number of starts on greyhound racing dynamics', International Society of Biomechanics Conference, Calgary, Canada.

Makhdoom, I, Zhou, I, Abolhasan, M, Lipman, J & Ni, W 2019, 'PrivySharing: A Blockchain-based framework for integrity and privacy-preserving data sharing in Smart Cities', Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - (Volume 2), International Conference on Security and Cryptography, Scitepress, Prague, Czech Republic, pp. 363-371.
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Malik, N, Nanda, P, He, X & Liu, RP 2019, 'Trust and Reputation in Vehicular Networks: A Smart contract-based approach', 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Trustcom 2019, Rotorua, New Zealand.

Merigó, JM, Herrera-Viedma, E, Yager, RR & Kacprzyk, J 2019, 'A Bibliometric Overview of the Research Impact of Lotfi A. Zadeh', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, pp. 441-446.
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Mirtalaie, MA, Hussain, OK, Chang, E & Hussain, FK 2018, 'A fine-grained ontology-based sentiment aggregation approach', Advances in Intelligent Systems and Computing, International Conference on Complex, Intelligent, and Software Intensive Systems, Springer, Japan, pp. 252-262.
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Mohammed, F, He, X, Chen, J & Lin, Y 2019, 'A Novel Model for Classification of Parkinson’s Disease: AccuratelyIdentifying Patients for Surgical Therapy', HICSS, Hawaii International Conference on System Sciences, USA, pp. 3741-3750.
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Musial-Gabrys, K & Naseem, U 2019, 'Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis', International Conference on Document Analysis and Recognition, Sydney, Australia.

Musial-Gabrys, K, Wang, Y, Jin, D & Dang, J 2019, 'Community Detection in Social Networks Considering Topic Correlations', Proceedings of the AAAI Conference on Artificial Intelligence, Thirty Third AAAI Conference on Artificial Intelligence, Hawaii, USA.

Naji, M, Al-Ani, A, Braytee, A, Anaissi, A & Kennedy, P 2019, 'Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening', Advances in Intelligent Systems and Computing, pp. 923-935.
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Nanda, A, Nanda, P, Obaidat, M, He, X & Puthal, D 2019, 'A Novel Multi-Path Anonymous Randomized Key Distribution Scheme for Geo Distributed Networks', IEEE eXpress Conference Publishing, IEEE ComSoc, IEEE GLOBECOM 2019, Hilton Waikoloa Village, Hawaii, USA.
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Ojha, S, Gudi, SLKC, Vitale, J, Williams, MA & Johnston, B 2018, 'I remember what you did: A behavioural guide-robot', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Kuala Lumpur, Malaysia, pp. 273-282.
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Ojha, S, Vitale, J, Raza, SA, Billingsley, R & Williams, M-A 2019, 'Integrating Personality and Mood with Agent Emotions', AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), ASSOC COMPUTING MACHINERY, Montreal, CANADA, pp. 2147-2149.

Pfeiffer, S, Ebrahimian, D, Herse, S, Le, TN, Leong, S, Lu, B, Powell, K, Raza, SA, Sang, T, Sawant, I, Tonkin, M, Vinaviles, C, Vu, TD, Yang, Q, Billingsley, R, Clark, J, Johnston, B, Madhisetty, S, McLaren, N, Peppas, P, Vitale, J & Williams, MA 2018, 'UTS Unleashed! RoboCup@Home SSPL Champions 2019', RoboCup 2019: Robot World Cup XXIII, RoboCup 2019, Springer International Publishing, Sydney, NSW, Australia, pp. 603-615.
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Poostchimohammadabadi, H & Piccardi, M 2019, 'A multi-constraint structured hinge loss for named-entity recognition', Proceedings of The 17th Annual Workshop of the Australasian Language Technology Association, Annual Workshop of the Australasian Language Technology Association, ACLWEB, Sydney, NSW, Australia, pp. 41-46.
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Qashlan, A, Nanda, P & He, X 2019, 'Automated Ethereum Smart Contract for Block chain based Smart Home Security', Jaipur, India.

Saki, M, Abolhasan, M & Lipman, J 2019, 'A big sensor data offloading scheme in rail networks', IEEE Vehicular Technology Conference, IEEE Vehicular Technology Conference, IEEE, Kuala Lumpur, Malaysia, Malaysia.
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Seifollahi, S, Piccardi, M, Borzeshi, EZ & Kruger, B 2018, 'Taxonomy-augmented features for document clustering', Communications in Computer and Information Science, Australasian Conference on Data Mining, Springer, Bathurst, NSW, Australia, pp. 241-252.
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Shen, J, Wang, Y & Zhang, J 2018, 'Memory optimized Deep Dense Network for Image Super-resolution', 2018 Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia.
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Shi, L, Li, S, Cao, L, Yang, L & Pan, G 2019, 'TBQ(σ): Improving efficiency of trace utilization for off-policy reinforcement learning', Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, International Joint Conference on Autonomous Agents and Multiagent Systems, IFAAMAS, Montreal, Canada, pp. 1025-1032.
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Shi, Z, Zhang, JA, Xu, Y & Fang, G 2018, 'Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State information', 2018 IEEE Globecom Workshops (GC Wkshps), IEEE Globecom Workshops, IEEE, Abu Dhabi, United Arab Emirates.
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Shu, Z, Cheng, M, Yang, B, Su, Z & He, X 2019, 'Residual magnifier: A dense information flow network for super resolution', Proceedings - IEEE International Conference on Multimedia and Expo, Shanghai, pp. 646-651.
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Skillicorn, D, Alsadhan, N, Billingsley, R & Williams, MA 2019, 'Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 29-41.
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Song, X, Fan, X, He, X, Xiang, C, Ye, Q, Huang, X, Fang, G, Chen, LL, Qin, J & Wang, Z 2019, 'Cnnloc: Deep-learning based indoor localization with wifi fingerprinting', Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, IEEE, Leicester, United Kingdom, pp. 589-595.
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Sun, K, Chen, T, Qian, T, Chen, Y, Yin, H & Chen, L 2019, 'What can history tell us? Identifying relevant sessions for next-item recommendation', International Conference on Information and Knowledge Management, Proceedings, pp. 1593-1602.
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Tofigh, F, Mao, G, Lipman, J & Abolhasan, M 2018, 'Crowd Density Mapping Based on Wi-Fi Measurements on Train Platforms', 2018 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS), International Conference on Signal Processing and Communication Systems, IEEE, Cairns, Australia.
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Verma, R, Merigó, JM & Mittal, N 2019, 'Triangular Fuzzy Partitioned Bonferroni Mean Operators and Their Application to Multiple Attribute Decision Making', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, pp. 941-949.
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Verma, R, Merigó, JM & Sahni, M 2019, 'On Generalized Fuzzy Jensen-Exponential Divergence and Its Application to Pattern Recognition', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, pp. 1515-1519.
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Verma, S, Wang, C, Zhu, L & Liu, W 2019, 'Towards Effective Data Augmentations via Unbiased GAN Utilization', PRICAI 2019: Trends in Artificial Intelligence (LNAI), Pacific Rim International Conference on Artificial Intelligence, Springer, Cuvu, Yanuca Island, Fiji, pp. 555-567.
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Vishwa, A & Hussain, FK 2018, 'A Blockchain based approach for multimedia privacy protection and provenance', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, India, pp. 1941-1945.
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Wang, C, Pan, S, Hu, R, Long, G, Jiang, J & Zhang, C 2019, 'Attributed Graph Clustering: A Deep Attentional Embedding Approach', The 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China.

Wang, F, Lin, S, Wu, H, Li, H, Wang, R, Luo, X & He, X 2019, 'SPFusionNet: Sketch segmentation using multi-modal data fusion', Proceedings - IEEE International Conference on Multimedia and Expo, Shanghai, pp. 1654-1659.
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Wang, X, He, D, Jin, D, Musial, K, Liu, M & Dang, J 2019, 'Emotional contagion-based social sentiment mining in social networks by introducing network communities', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Beijing, China, pp. 1763-1772.
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Wang, Y, Shen, J & Zhang, J 2018, 'Deep Bi-Dense Networks for Image Super-Resolution', 2018 Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing: Techniques and Applications, IEEE, Canberra.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Chen, L 2019, 'Enumerating k-vertex connected components in large graphs', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, Macao, Macao, pp. 52-63.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Chen, L 2019, 'Enumerating k-Vertex Connected Components in Large Graphs.', 2019 IEEE 35th International Conference on Data Engineering (ICDE), International Conference on Data Engineering, IEEE, Macao, Macao, pp. 52-63.
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Wu, Z, Pan, S, Long, G, Jiang, J & Zhang, C 2019, 'Graph WaveNet for Deep Spatial-Temporal Graph Modeling', The 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China.

Xie, HB, Li, C, Xu, RYD & Mengersen, K 2019, 'Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation', Machine Learning, Optimization, and Data Science (LNCS), International Conference on Machine Learning, Optimization, and Data Science, Springer, Siena, Italy, pp. 484-495.
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Yang, H, Pan, S, Chen, L, Zhou, C & Zhang, P 2019, 'Low-bit quantization for attributed network representation learning', IJCAI International Joint Conference on Artificial Intelligence, pp. 4047-4053.
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Yao, L, Kusakunniran, W, Wu, Q, Zhang, J & Tang, Z 2018, 'Robust CNN-based Gait Verification and Identification using Skeleton Gait Energy Image', 2018 Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia.
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Ye, P, Wang, Y, Xia, Y, An, P & Zhang, J 2018, 'Enhanced Saliency Prediction via Free Energy Principle', DIGITAL TV AND MULTIMEDIA COMMUNICATION, 15th International Forum on Digital TV and Multimedia Communication (IFTC), SPRINGER INTERNATIONAL PUBLISHING AG, Shanghai, PEOPLES R CHINA, pp. 31-44.
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Zhang, J, Wu, Q, Zhang, J, Shen, C & Lu, J 2019, 'Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks', 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE.
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Zhang, L, Xu, J, Zhang, J & Gong, Y 2018, 'Information Enhancement for Travelogues via a Hybrid Clustering Model', 2018 Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing: Techniques and Applications, IEEE, Canberra, ACT, Australia, pp. 1-8.
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Zhang, P, Wu, Q & Xu, J 2019, 'VN-GAN: Identity-preserved Variation Normalizing GAN for Gait Recognition', Proceedings of the International Joint Conference on Neural Networks.
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Zhang, P, Wu, Q & Xu, J 2019, 'VT-GAN: View Transformation GAN for Gait Recognition across Views', Proceedings of the International Joint Conference on Neural Networks.
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Zhang, X, Zhang, X, Verma, S, Liu, Y, Blumenstein, M & Li, J 2019, 'Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data', PRICAI 2019: Trends in Artificial Intelligence, The 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Fiji.

Zhang, Z, Wang, Y, Wu, Q & Chen, F 2019, 'Visual Relationship Attention for Image Captioning', Proceedings of the International Joint Conference on Neural Networks.
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Zhang, Z, Wu, Q, Wang, Y & Chen, F 2018, 'Size-Invariant Attention Accuracy Metric for Image Captioning with High-Resolution Residual Attention', 2018 Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia, pp. 1-8.
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Zhao, M, Shu, Y, Liu, S & Xu, G 2019, 'Electricity Price Forecast using Meteorology data: A study in Australian Energy Market', BESC 2019 - 6th International Conference on Behavioral, Economic and Socio-Cultural Computing, Proceedings.
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Zhao, M, Zhang, J, Zhang, C & Zhang, W 2019, 'Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting', 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE.
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Zhao, M, Zhang, J, Zhang, C & Zhang, W 2018, 'Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks', ACCV 2018: Computer Vision, Asian Conference on Computer Vision, Springer, Perth, Australia, pp. 247-261.
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Zheng, C, Cai, Y, Xu, J, Leung, H-F & Xu, G 1970, 'A Boundary-aware Neural Model for Nested Named Entity Recognition', Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Association for Computational Linguistics.
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Zhou, Z, Liu, S, Xu, G & Zhang, W 2019, 'On Completing Sparse Knowledge Base with Transitive Relation Embedding', Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI Press, Honolulu, Hawaii USA, pp. 3125-3132.
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Other

Arifovic, J, He, X & Wei, L 2019, 'High Frequency Trading in FinTech age: AI with Speed'.

Musial-Gabrys, K, Wahid-Ul-Ashraf, A & Budka, M 2019, 'Simulation and Augmentation of Social Networks for Building Deep Learning Models'.