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Publications

Books

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

Ali, AR, Budka, M & Gabrys, B 2019, 'A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously', pp. 93-106.
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Ali, AR, Budka, M & Gabrys, B 2019, 'Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation', pp. 66-79.
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Alshehri, M & Hussain, F 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.
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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.
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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, pp. 201-226.
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Liu, W, Yin, Z & 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.
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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.
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Alfaro-García, VG, Merigó, JM, Plata-Pérez, L, Alfaro-Calderón, GG & Gil-Lafuente, AM 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.
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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 & 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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Awan, I, Younas, M & Hussain, F 2019, 'Emerging challenges and frontiers in cloud computing', Concurrency Computation.
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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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Azadi, M, Emrouznejad, A, Ramezani, F & Hussain, FK 2019, 'Efficiency measurement of cloud service providers using network data envelopment analysis', IEEE Transactions on Cloud Computing.
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Baier-Fuentes, H, Merigó, JM, Amorós, JE & Gaviria-Marín, M 2019, 'International entrepreneurship: a bibliometric overview', International Entrepreneurship and Management Journal, pp. 1-45.
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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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Ben, X, Gong, C, Zhang, P, Yan, R, Wu, Q & Meng, W 2019, 'Coupled Bilinear Discriminant Projection for Cross-view Gait Recognition', IEEE Transactions on Circuits and Systems for Video Technology.
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Beydoun, G, Abedin, B, Merigó, 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.
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Blanco-Mesa, F, León-Castro, E, Merigó, 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, pp. 56-56.
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Buchlak, QD, Esmaili, N, Leveque, JC, Farrokhi, F, Bennett, C, Piccardi, M & Sethi, RK 2019, 'Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review', Neurosurgical Review.
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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 & Merigó, JM 2019, 'Influence of a seed capital program for supporting high growth firms in Chile', Contaduria y Administracion, vol. 64, no. 1.
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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.
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Cao, Z, Ding, W, Wang, YK, Hussain, FK, Al-Jumaily, A & Lin, CT 2019, 'Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy', Neurocomputing.
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Casanovas, M, Torres-Martínez, A & Merigó, JM 2019, 'Multi-person and multi-criteria decision making with the induced probabilistic ordered weighted average distance', Soft Computing.
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Chen, X, Xu, C, Yang, X, Song, L & Tao, D 2019, 'Gated-GAN: Adversarial gated networks for multi-collection style transfer', IEEE Transactions on Image Processing, vol. 28, no. 2, pp. 546-560.
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Chen, Z, Zhang, J & Tao, D 2019, 'Progressive LiDAR adaptation for road detection', IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 3, pp. 693-702.
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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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Chomsiri, T, He, XS, Nanda, P & Tan, Z 2019, 'Hybrid Tree-rule Firewall for High Speed Data Transmission', IEEE Transactions on Cloud Computing.
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Cui, L, Wu, J, Pi, D, Zhang, P & Kennedy, P 2019, 'Dual Implicit Mining-Based Latent Friend Recommendation', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Curiskis, SA, Drake, B, Osborn, TR & Kennedy, PJ 2019, 'An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit', Information Processing and Management.
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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, pp. 1-18.
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Deng, C, Li, Z, Gao, X & Tao, D 2019, 'Deep multi-scale discriminative networks for double JPEG compression forensics', ACM Transactions on Intelligent Systems and Technology, vol. 10, no. 2.
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Deng, C, Xue, Y, Liu, X, Li, C & Tao, D 2019, 'Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1741-1754.
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Deng, C, Yang, E, Liu, T, Li, J, Liu, W & Tao, D 2019, 'Unsupervised Semantic-Preserving Adversarial Hashing for Image Search', IEEE Transactions on Image Processing, vol. 28, no. 8, pp. 4032-4044.
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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, Gong, Y & Cao, L 2019, 'e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns.', IEEE transactions on cybernetics.
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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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Du, B, Xinyao, T, Wang, Z, Zhang, L & Tao, D 2019, 'Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion.', IEEE Transactions on Cybernetics, vol. 49, no. 4, pp. 1440-1453.
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Du, X, Yin, H, Chen, L, Wang, Y, Yang, Y & Zhou, X 2019, 'Personalized Video Recommendation Using Rich Contents from Videos', IEEE Transactions on Knowledge and Data Engineering.
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Du, Y, Fang, M, Yi, J, Xu, C, Cheng, J & Tao, D 2019, 'Enhancing the robustness of neural collaborative filtering systems under malicious attacks', IEEE Transactions on Multimedia, vol. 21, no. 3, pp. 555-565.
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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 & Merigó, 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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Fang, M, Zhou, T, Yin, J, Wang, Y & Tao, D 2019, 'Data Subset Selection with Imperfect Multiple Labels', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 7, pp. 2212-2221.
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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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Feng, Z, Liang, W, Tao, D, Sun, L, Zeng, A & Song, M 2019, 'CU-Net: Component Unmixing Network for Textile Fiber Identification', International Journal of Computer Vision, vol. 127, no. 10, pp. 1443-1454.
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Gaviria-Marin, M, Merigó, 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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Gong, C, Liu, T, Yang, J & Tao, D 2019, 'Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 11, pp. 3471-3483.
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Gong, C, Tao, D, Chang, X & Yang, J 2019, 'Ensemble Teaching for Hybrid Label Propagation', IEEE Transactions on Cybernetics, vol. 49, no. 2, pp. 388-402.
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Guan, N, Liu, T, Zhang, Y, Tao, D & Davis, LS 2019, 'Truncated Cauchy Non-negative Matrix Factorization for Robust Subspace Learning', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 1, pp. 1-14.
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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.
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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.
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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.
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Han, Y, Deng, C, Zhao, B & Tao, D 2019, 'State-Aware anti-drift object tracking', IEEE Transactions on Image Processing, vol. 28, no. 8, pp. 4075-4086.
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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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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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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, Q, Huang, X, Kong, Z, Li, X & Tao, D 2019, 'Bi-Phase Evolutionary Searching for Biclusters in Gene Expression Data', IEEE Transactions on Evolutionary Computation, vol. 23, no. 5, pp. 803-814.
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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.
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Hwang, H & Ryan, L 2019, 'Statistical strategies for the analysis of massive data sets', BIOMETRICAL JOURNAL.
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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.
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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.
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Jiang, Z, Crookes, D, Green, BD, Zhao, Y, Ma, H, Li, L, Zhang, S, Tao, D & Zhou, H 2019, 'Context-Aware Mouse Behavior Recognition Using Hidden Markov Models', IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1133-1148.
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Jin, T, Ji, R, Gao, Y, Sun, X, Zhao, X & Tao, D 2019, 'Correntropy-Induced Robust Low-Rank Hypergraph', IEEE Transactions on Image Processing, vol. 28, no. 6, pp. 2755-2769.
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Jin, Y, Wu, H, Merigó, 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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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.
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Laengle, S, Merigó, JM, Modak, NM & Yang, JB 2019, 'Bibliometrics in operations research and management science: a university analysis', Annals of Operations Research.
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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, B, Ren, W, Fu, D, Tao, D, Feng, D, Zeng, W & Wang, Z 2019, 'Benchmarking Single-Image Dehazing and beyond', IEEE Transactions on Image Processing, vol. 28, no. 1, pp. 492-505.
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Li, X, Lu, Q, Dong, Y & Tao, D 2019, 'Robust Subspace Clustering by Cauchy Loss Function', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 7, pp. 2067-2078.
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Li, X, Zhao, L, Ji, W, Wu, Y, Wu, F, Yang, M-H, Tao, D & Reid, I 2019, 'Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking.', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 4, pp. 915-927.
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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.
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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, pp. 1-1.
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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.
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Liu, C, Zhu, L, He, X & Chen, J 2019, 'Enabling Privacy-Preserving Shortest Distance Queries on Encrypted Graph Data', IEEE Transactions on Dependable and Secure Computing.
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Liu, L, Amirgholipour, S, Jiang, J, Jia, W, Zeibots, M & He, X 2019, 'Performance-enhancing network pruning for crowd counting', NEUROCOMPUTING, vol. 360, pp. 246-253.
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Liu, L, Liu, J & Tao, D 2019, 'Dualityfree Methods for Stochastic Composition Optimization', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 4, pp. 1205-1217.
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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, Lan, C, Blumenstein, M & Li, J 2019, 'Bi-level error correction for PacBio long reads', IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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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.
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Liu, Y, Zhang, LY & Li, J 2019, 'Fast detection of maximal exact matches via fixed sampling of query K-mers and Bloom filtering of index K-mers', Bioinformatics (Oxford, England), vol. 35, no. 22, pp. 4560-4567.
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Llanos-Herrera, GR & Merigo, JM 2019, 'Overview of brand personality research with bibliometric indicators', Kybernetes.
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Luo, F, Du, B, Zhang, L, Zhang, L & Tao, D 2019, 'Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image', IEEE Transactions on Cybernetics.
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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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Luo, Y, Wen, Y, Liu, T & Tao, D 2019, 'Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain.', IEEE transactions on pattern analysis and machine intelligence, vol. 41, no. 4, pp. 1013-1026.
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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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Martínez-López, FJ, Merigó, JM, Gázquez-Abad, JC & Ruiz-Real, JL 2019, 'Industrial marketing management: Bibliometric overview since its foundation', Industrial Marketing Management.
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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, JM & Yager, RR 2019, 'Aggregation operators with moving averages', SOFT COMPUTING, vol. 23, no. 21, pp. 10601-10615.
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Merigó, 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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Merigó, 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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Merigó, 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.
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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, Merigó, 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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Musial-Gabrys, K, Wahid-Ul-Ashraf, A & Budka, M 2019, 'Simulation and Augmentation of Social Networks for Building Deep Learning Models'.
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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.
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Naseer, A, Rani, M, Naz, S, Razzak, MI, Imran, M & Xu, G 2019, 'Refining Parkinson’s neurological disorder identification through deep transfer learning', Neural Computing 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.
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Odriozola-Fernández, I, Berbegal-Mirabent, J & Merigó-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', arXiv preprint arXiv:1901.01250.

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 & Merigó, 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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Poostchi, H & Piccardi, M 2019, 'BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition', IEEE Transactions on Big Data, pp. 1-1.
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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-BASEL, vol. 9, no. 10.
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Qiao, M, Yu, J, Bian, W, Li, Q & Tao, D 2019, 'Adapting Stochastic Block Models to Power-Law Degree Distributions.', IEEE Transactions on Cybernetics, vol. 49, no. 2, pp. 626-637.
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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, Imran, M & Xu, G 2019, 'Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks', IEEE Journal of Biomedical and Health Informatics.
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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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Razzak, MI, Imran, M & Xu, G 2019, 'Big data analytics for preventive medicine', Neural Computing and Applications.
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Rialp, A, Merigó, 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 2019, 'Testbed Evaluation of Lightweight Authentication Protocol(LAUP) fo r6LoWPAN wireless sensor networks', Concurrency and Computation: Practice and Experience.
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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 [Application Notes]', 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, J, Liang, Z, Liu, J, Sun, H, Shao, L & Tao, D 2019, 'Multiobject Tracking by Submodular Optimization', IEEE Transactions on Cybernetics.
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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.
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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, vol. 94, pp. 749-764.
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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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Tian, X, Li, Y, Liu, T, Wang, X & Tao, D 2019, 'Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space', IEEE Transactions on Neural Networks and Learning Systems.
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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.
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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.
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Usman, M, Jan, MA, He, X & Chen, J 2019, 'A Mobile Multimedia Data Collection Scheme for Secured Wireless Multimedia Sensor Networks', IEEE Transactions on Network Science and Engineering.
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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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Usman, M, Jan, MA, He, X & Nanda, P 2019, 'QASEC: A secured data communication scheme for mobile Ad-hoc networks', Future Generation Computer Systems.
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Valenzuela Fernandez, LM, Nicolas, C, Merigó, JM & Arroyo-Cañada, FJ 2019, 'Industrial marketing research. A bibliometric analysis (1990-2015)', Journal of Business and Industrial Marketing.
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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 & Merigó, 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 & Merigó, 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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Wan, KR, Maszczyk, T, See, AAQ, Dauwels, J & King, NKK 2019, 'A review on microelectrode recording selection of features for machine learning in deep brain stimulation surgery for Parkinson’s disease.', Clinical Neurophysiology.
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Wang, B, Yuan, X, Gao, X, Li, X & Tao, D 2019, 'A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation.', IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1558-1569.
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Wang, C, Xu, C, Yao, X & Tao, D 2019, 'Evolutionary Generative Adversarial Networks', IEEE Transactions on Evolutionary Computation.
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Wang, H, Wu, J, Zhu, X, Chen, Y & Zhang, C 2019, 'Time-Variant Graph Classification', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Wang, S & Cao, L 2019, 'Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency', IEEE Transactions on Systems Man and Cybernetics: Systems.
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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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Wang, Y, Xu, C, Xu, C & Tao, D 2019, 'Packing Convolutional Neural Networks in the Frequency Domain', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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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, vol. 2019-April, pp. 52-63.
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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.
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Xi, Y, Zheng, J, He, X, Jia, W, Li, H, Xie, Y, Feng, M & Li, X 2019, 'Beyond context: Exploring semantic similarity for small object detection in crowded scenes', Pattern Recognition Letters.
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Xie, L, Tao, D & Wei, H 2019, 'Early Expression Detection via Online Multi-Instance Learning With Nonlinear Extension', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 5, pp. 1486-1496.
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Xiong, F, Wang, X, Pan, S, Yang, H, Wang, H & Zhang, C 2019, 'Social Recommendation With Evolutionary Opinion Dynamics', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Yan, Y, Tan, M, Tsang, I, Yang, Y, Shi, Q & Zhang, C 2019, 'Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study', IEEE Transactions on Knowledge and Data Engineering.
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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.
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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, E, Liu, T, Deng, C & Tao, D 2019, 'Adversarial Examples for Hamming Space Search', IEEE Transactions on Cybernetics.
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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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Yang, Q, Tao, D, Han, D & Liang, J 2019, 'Extracting Auroral Key Local Structures From All-Sky Auroral Images by Artificial Intelligence Technique', Journal of Geophysical Research: Space Physics, vol. 124, no. 5, pp. 3512-3521.
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Yao, J, Wang, J, Tsang, IW, 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.
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Yao, L, Kusakunniran, W, Wu, Q, Zhang, J, Tang, Z & Yang, W 2019, 'Robust gait recognition using hybrid descriptors based on Skeleton Gait Energy Image', Pattern Recognition Letters.
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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, pp. 1-16.
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You, X, Xu, J, Yuan, W, Jing, XY, Tao, D & Zhang, T 2019, 'Multi-view common component discriminant analysis for cross-view classification', Pattern Recognition, vol. 92, pp. 37-51.
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Yu, B & Tao, D 2019, 'Anchor Cascade for Efficient Face Detection', IEEE Transactions on Image Processing, vol. 28, no. 5, pp. 2490-2501.
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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.
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Yu, J, Zhu, C, Zhang, J, Huang, Q & Tao, D 2019, 'Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition', IEEE Transactions on Neural Networks and Learning Systems.
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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.
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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, L, Zhang, L, Du, B, You, J & Tao, D 2019, 'Hyperspectral image unsupervised classification by robust manifold matrix factorization', Information Sciences, vol. 485, pp. 154-169.
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Zhang, M, Wang, R, Gao, X, Li, J & Tao, D 2019, 'Dual-transfer face sketch-photo synthesis', IEEE Transactions on Image Processing, vol. 28, no. 2, pp. 642-657.
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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.
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Zhang, X, Zhao, Z, Zheng, Y & Li, J 2019, 'Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble Learning', IEEE Transactions on Intelligent Transportation Systems, pp. 1-11.
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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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Zhao, Z, Chu, L, Tao, D & Pei, J 2019, 'Classification with label noise: a Markov chain sampling framework', Data Mining and Knowledge Discovery, vol. 33, no. 5, pp. 1468-1504.
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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.
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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, Wu, Q, Fang, Y, An, P, Huang, L & Chen, Z 2019, 'Multi-scale Frequency Reconstruction for Guided Depth Map Super-resolution via Deep Residual Network', IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-1.
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Conferences

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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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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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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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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Butler, A, Xu, G & Musial-Gabrys, K 2018, 'Research Performance Reporting is Fallacious', International Conference on Behavioral, Economic, and Socio-Cultural Computing, IEEE, Taiwan.
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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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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 2018, Palermo, Italy.
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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, pp. 1015-1019.
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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, Zheng, J, Zhang, J, Wu, Q & Xu, J 2019, 'Compare more nuanced: Pairwise alignment bilinear network for few-shot fine-grained learning', Proceedings - IEEE International Conference on Multimedia and Expo, 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', Proceedings - IEEE International Conference on Multimedia and Expo, pp. 1552-1557.
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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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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, 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 & 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, Gong, Y, Zhang, J, Yi, J, Wu, Q & Kirsch, C 2019, 'Sample adaptive multiple kernel learning for failure prediction of railway points', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2848-2856.
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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, pp. 266-271.
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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.
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Liu, X, Shi, H, Hong, X, Chen, H, Tao, D & Zhao, G 2019, 'Hidden states exploration for 3D skeleton-based gesture recognition', Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, pp. 1846-1855.
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Madhisetty, S & Williams, MA 2019, 'Managing privacy through key performance indicators when photos and videos are shared via social media', Advances in Intelligent Systems and Computing, pp. 1103-1117.
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Madhisetty, S & Williams, MA 2019, 'The role of trust and control in managing privacy when photos and videos are stored or shared', Advances in Intelligent Systems and Computing, 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.
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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.
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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, 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.
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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, P, Malik, N, 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.
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Ojha, S, Gudi, SLKC, Vitale, J, Williams, MA & Johnston, B 2019, 'I remember what you did: A behavioural guide-robot', Advances in Intelligent Systems and Computing, pp. 273-282.
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Qashlan, A, Nanda, P & He, X 2019, 'Automated Ethereum Smart Contract for Block chain based Smart Home Security', Jaipur, India.
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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, Springer, Bathurst, NSW, Australia, pp. 241-252.
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Shen, J, Tao, M, Qu, Q, Tao, D & Rui, Y 2019, 'Toward efficient indexing structure for scalable content-based music retrieval', Multimedia Systems.
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Shen, J, Wang, Y & Zhang, J 2018, 'Memory optimized Deep Dense Network for Image Super-resolution', Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia.
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Shen, J, Zhang, J & Wang, Y 2018, 'Deep Bi-Dense Networks for Image Super-Resolution', Digital Image Computing: Techniques and Applications, Canberra.
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Shen, T, Zhou, T, Long, G, Jiang, J & Zhang, C 2019, 'Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together', (NAACL) Annual Conference of the North American Chapter of the Association for Computational Linguisticss, Minneapolis, USA.
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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', IEEE Globecom Workshops, IEEE, Abu Dhabi, United Arab Emirates.
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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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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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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, pp. 1654-1659.
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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.

Xu, Y, Gong, M, Fu, H, Tao, D, Zhang, K & Batmanghelich, K 2019, 'Multi-scale masked 3-D U-Net for brain tumor segmentation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 222-233.
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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 2019, 'Enhanced saliency prediction via free energy principle', Communications in Computer and Information Science, pp. 31-44.
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Zhang, L, Xu, J, Zhang, J & Gong, Y 2018, 'Information Enhancement for Travelogues via a Hybrid Clustering Model', Digital Image Computing: Techniques and Applications, IEEE, Canberra, ACT, Australia, pp. 1-8.
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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.
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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.
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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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Zhou, C, Chen, S, Ding, C & Tao, D 2019, 'Learning contextual and attentive information for brain tumor segmentation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 497-507.
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