Rich S. Zemel - Related publications

Affiliations: 
University of Toronto, Toronto, ON, Canada 
Area:
neural coding, visual perception
Website:
http://www.cs.toronto.edu/~zemel/
NOTE: We are testing a new system for identifying relevant work based on semantic analysis that identifies similarities between recently published papers and the current author's publications. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches.
50 most relevant papers in past 60 days:
Year Citation  Score
2021 Huh N, Kim SP, Lee J, Sohn JW. Extracting single-trial neural interaction using latent dynamical systems model. Molecular Brain. 14: 32. PMID 33588875 DOI: 10.1186/s13041-021-00740-7   
2021 Nápoles G, Bello M, Salgueiro Y. Long-term Cognitive Network-based architecture for multi-label classification. Neural Networks : the Official Journal of the International Neural Network Society. 140: 39-48. PMID 33744712 DOI: 10.1016/j.neunet.2021.03.001   
2021 Choi H, Bajic IV. Affine Transformation-Based Deep Frame Prediction. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 33635788 DOI: 10.1109/TIP.2021.3060803   
2021 Liu J, Li M, Luo Y, Yang S, Li W, Bi Y. Alzheimer's disease detection using depthwise separable convolutional neural networks. Computer Methods and Programs in Biomedicine. 203: 106032. PMID 33713959 DOI: 10.1016/j.cmpb.2021.106032   
2021 Li Y, Zhou J, Tian J, Zheng X, Tang YY. Weighted Error Entropy-Based Information Theoretic Learning for Robust Subspace Representation. Ieee Transactions On Neural Networks and Learning Systems. PMID 33606640 DOI: 10.1109/TNNLS.2021.3056188   
2021 Lazos D, Collins-Fekete CA, Bober M, Evans PM, Dikaios N. Machine learning for proton path tracking in proton computed tomography. Physics in Medicine and Biology. PMID 33765674 DOI: 10.1088/1361-6560/abf1fd   
2021 Gowgi P, Machireddy A, Garani SS. Spatiotemporal Memories for Missing Samples Reconstruction. Ieee Transactions On Neural Networks and Learning Systems. PMID 33729955 DOI: 10.1109/TNNLS.2021.3062463   
2021 Sebastian J, Sur M, Murthy HA, Magimai-Doss M. Signal-to-signal neural networks for improved spike estimation from calcium imaging data. Plos Computational Biology. 17: e1007921. PMID 33647015 DOI: 10.1371/journal.pcbi.1007921   
2021 Zhou K, Wang W, Hu T, Deng K. Application of Improved Asynchronous Advantage Actor Critic Reinforcement Learning Model on Anomaly Detection. Entropy (Basel, Switzerland). 23. PMID 33668769 DOI: 10.3390/e23030274   
2021 Fan DP, Li T, Lin Z, Ji GP, Zhang D, Cheng MM, Fu H, Shen J. Re-thinking Co-Salient Object Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33600309 DOI: 10.1109/TPAMI.2021.3060412   
2021 Heidari-Gorji H, Ebrahimpour R, Zabbah S. A temporal hierarchical feedforward model explains both the time and the accuracy of object recognition. Scientific Reports. 11: 5640. PMID 33707537 DOI: 10.1038/s41598-021-85198-2   
2021 Sun Z, Yu Y. Fast Approximation for Sparse Coding with Applications to Object Recognition. Sensors (Basel, Switzerland). 21. PMID 33669576 DOI: 10.3390/s21041442   
2021 Zhang R, Zhang H, Li X. Maximum Joint Probability With Multiple Representations for Clustering. Ieee Transactions On Neural Networks and Learning Systems. PMID 33577461 DOI: 10.1109/TNNLS.2021.3056420   
2021 Fengler A, Govindarajan LN, Chen T, Frank MJ. Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience. Elife. 10. PMID 33821788 DOI: 10.7554/eLife.65074   
2021 Sanchez-Cauce R, Paris I, Diez Vegas FJ. Sum-product networks: A survey. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33630736 DOI: 10.1109/TPAMI.2021.3061898   
2021 Yu C, Rosendo A. Risk-Aware Model-Based Control. Frontiers in Robotics and Ai. 8: 617839. PMID 33778013 DOI: 10.3389/frobt.2021.617839   
2021 Zhou J, Hoen AG, Mcritchie S, Pathmasiri W, Viles WD, Nguyen QP, Madan JC, Dade E, Karagas MR, Gui J. Information enhanced model selection for Gaussian graphical model with application to metabolomic data. Biostatistics (Oxford, England). PMID 33720330 DOI: 10.1093/biostatistics/kxab006   
2021 Li X, Yang J, Sun H, Hu Z, Cao A. A dual prediction strategy with inverse model for evolutionary dynamic multiobjective optimization. Isa Transactions. PMID 33573823 DOI: 10.1016/j.isatra.2021.01.053   
2021 Etheredge RI, Schartl M, Jordan A. Decontextualized learning for interpretable hierarchical representations of visual patterns. Patterns (New York, N.Y.). 2: 100193. PMID 33659910 DOI: 10.1016/j.patter.2020.100193   
2021 Jones D, Kim H, Zhang X, Zemla A, Stevenson G, Bennett WFD, Kirshner D, Wong SE, Lightstone FC, Allen JE. Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. Journal of Chemical Information and Modeling. PMID 33754707 DOI: 10.1021/acs.jcim.0c01306   
2021 Wang X, Tong Y. Application of an emotional classification model in e-commerce text based on an improved transformer model. Plos One. 16: e0247984. PMID 33667262 DOI: 10.1371/journal.pone.0247984   
2021 Zhang B, Qiang Q, Wang F, Nie F. Flexible Multi-view Unsupervised Graph Embedding. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 33667162 DOI: 10.1109/TIP.2021.3062692   
2021 Zhou J, Hu L, Jiang Y, Liu L. A Correlation Analysis between SNPs and ROIs of Alzheimer's Disease Based on Deep Learning. Biomed Research International. 2021: 8890513. PMID 33628827 DOI: 10.1155/2021/8890513   
2021 Huang C, Li M, Wang D. Stochastic configuration network ensembles with selective base models. Neural Networks : the Official Journal of the International Neural Network Society. 137: 106-118. PMID 33581381 DOI: 10.1016/j.neunet.2021.01.011   
2021 Chen W, Chen B, Liu Y, Cao X, Zhao Q, Zhang H, Tian L. Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning. Ieee Transactions On Cybernetics. PMID 33729964 DOI: 10.1109/TCYB.2020.3044915   
2021 Wang X, Hu T, Tang L. A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace. Ieee Transactions On Neural Networks and Learning Systems. PMID 33661737 DOI: 10.1109/TNNLS.2021.3059784   
2021 Song Z, Zhou Y, Feng J, Juusola M. Multiscale 'whole-cell' models to study neural information processing - new insights from fly photoreceptor studies. Journal of Neuroscience Methods. 109156. PMID 33775669 DOI: 10.1016/j.jneumeth.2021.109156   
2021 Wang G, Zhao Y, Zhang J, Ning Y. A Novel End-To-End Feature Selection and Diagnosis Method for Rotating Machinery. Sensors (Basel, Switzerland). 21. PMID 33804053 DOI: 10.3390/s21062056   
2021 Zhang J, Liu Y, Liu H, Wang J. Learning Local-Global Multiple Correlation Filters for Robust Visual Tracking with Kalman Filter Redetection. Sensors (Basel, Switzerland). 21. PMID 33562878 DOI: 10.3390/s21041129   
2021 Zhang X, Huang W, Gao J, Wang D, Bai C, Chen Z. Deep sparse transfer learning for remote smart tongue diagnosis. Mathematical Biosciences and Engineering : Mbe. 18: 1169-1186. PMID 33757181 DOI: 10.3934/mbe.2021063   
2021 Sun CX, Liu X. A state observer for the computational network model of neural populations. Chaos (Woodbury, N.Y.). 31: 013127. PMID 33754748 DOI: 10.1063/5.0020184   
2021 Busch EL, Slipski L, Feilong M, Guntupalli JS, Castello MVDO, Huckins JF, Nastase SA, Gobbini MI, Wager TD, Haxby JV. Hybrid Hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. Neuroimage. 117975. PMID 33762217 DOI: 10.1016/j.neuroimage.2021.117975   
2021 Yin J, Medellín-Azuara J, Escriva-Bou A, Liu Z. Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change. The Science of the Total Environment. 769: 144715. PMID 33736244 DOI: 10.1016/j.scitotenv.2020.144715   
2021 Rivera C, Hofmann D, Nemenman I. Inferring phenomenological models of first passage processes. Plos Computational Biology. 17: e1008740. PMID 33667218 DOI: 10.1371/journal.pcbi.1008740   
2021 Pernici F, Bruni M, Baecchi C, Bimbo AD. Regular Polytope Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 33606644 DOI: 10.1109/TNNLS.2021.3056762   
2021 Jiang D, Wu Z, Hsieh CY, Chen G, Liao B, Wang Z, Shen C, Cao D, Wu J, Hou T. Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. Journal of Cheminformatics. 13: 12. PMID 33597034 DOI: 10.1186/s13321-020-00479-8   
2021 Hoang ND. Automatic Impervious Surface Area Detection Using Image Texture Analysis and Neural Computing Models with Advanced Optimizers. Computational Intelligence and Neuroscience. 2021: 8820116. PMID 33643406 DOI: 10.1155/2021/8820116   
2021 Firman T, Huihui J, Clark AR, Ghosh K. Critical Comparison of MaxCal and Other Stochastic Modeling Approaches in Analysis of Gene Networks. Entropy (Basel, Switzerland). 23. PMID 33802879 DOI: 10.3390/e23030357   
2021 Saffari M, Khodayar M, Ebrahimi Saadabadi MS, Sequeira AF, Cardoso JS. Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process. Sensors (Basel, Switzerland). 21. PMID 33800810 DOI: 10.3390/s21051846   
2021 Wang W, Zhang X, Dai DQ. DeFusion: a denoised network regularization framework for multi-omics integration. Briefings in Bioinformatics. PMID 33822879 DOI: 10.1093/bib/bbab057   
2021 Kang E, Qiao H, Gao J, Yang W. Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints. Isa Transactions. 109: 89-101. PMID 33616059 DOI: 10.1016/j.isatra.2020.10.009   
2021 Mobiny A, Yuan P, Moulik SK, Garg N, Wu CC, Van Nguyen H. DropConnect is effective in modeling uncertainty of Bayesian deep networks. Scientific Reports. 11: 5458. PMID 33750847 DOI: 10.1038/s41598-021-84854-x   
2021 Mobiny A, Yuan P, Moulik SK, Garg N, Wu CC, Van Nguyen H. DropConnect is effective in modeling uncertainty of Bayesian deep networks. Scientific Reports. 11: 5458. PMID 33750847 DOI: 10.1038/s41598-021-84854-x   
2021 ElSaadani M, Habib E, Abdelhameed AM, Bayoumi M. Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations. Frontiers in Artificial Intelligence. 4: 636234. PMID 33748748 DOI: 10.3389/frai.2021.636234   
2021 Wang Y, Yang G, Xie R, Liu H, Liu K, Li X. An Ensemble Deep Belief Network Model Based on Random Subspace for NO Concentration Prediction. Acs Omega. 6: 7655-7668. PMID 33778276 DOI: 10.1021/acsomega.0c06317   
2021 Liu Y, Yu Z, Sun H. Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data. Journal of Healthcare Engineering. 2021: 6672072. PMID 33763194 DOI: 10.1155/2021/6672072   
2021 Jeong S, Park I, Kim HS, Song CH, Kim HK. Temperature Prediction Based on Bidirectional Long Short-Term Memory and Convolutional Neural Network Combining Observed and Numerical Forecast Data. Sensors (Basel, Switzerland). 21. PMID 33572653 DOI: 10.3390/s21030941   
2021 Zhang X, Yang L, Zhang B, Liu Y, Jiang D, Qin X, Hao M. Multi-Scale Aggregation Graph Neural Networks Based on Feature Similarity for Semi-Supervised Learning. Entropy (Basel, Switzerland). 23. PMID 33800642 DOI: 10.3390/e23040403   
2021 Zhang C, Liu S, Han F, Nie Z, Lo B, Zhang Y. Hybrid manifold-deep convolutional neural network for sleep staging. Methods (San Diego, Calif.). PMID 33636312 DOI: 10.1016/j.ymeth.2021.02.014   
2021 Kim YW, Byun YC, Krishna AVN. Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models. Entropy (Basel, Switzerland). 23. PMID 33562843 DOI: 10.3390/e23020197