| Year |
Citation |
Score |
| 2019 |
Tavanaei A, Ghodrati M, Kheradpisheh SR, Masquelier T, Maida A. Deep learning in spiking neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 111: 47-63. PMID 30682710 DOI: 10.1016/J.Neunet.2018.12.002 |
0.336 |
|
| 2019 |
Tavanaei A, Maida AS. BP-STDP: Approximating backpropagation using spike timing dependent plasticity Neurocomputing. 330: 39-47. DOI: 10.1016/J.Neucom.2018.11.014 |
0.373 |
|
| 2018 |
Tavanaei A, Masquelier T, Maida A. Representation learning using event-based STDP. Neural Networks : the Official Journal of the International Neural Network Society. 105: 294-303. PMID 29894846 DOI: 10.1016/j.neunet.2018.05.018 |
0.357 |
|
| 2017 |
Tavanaei A, Maida AS. A spiking network that learns to extract spike signatures from speech signals Neurocomputing. 240: 191-199. DOI: 10.1016/j.neucom.2017.01.088 |
0.322 |
|
| 2016 |
Tavanaei A, Maida AS. Training a Hidden Markov Model with a Bayesian Spiking Neural Network Journal of Signal Processing Systems. 90: 211-220. DOI: 10.1007/s11265-016-1153-2 |
0.375 |
|
| 2012 |
Lemoine B, Maida A. GPU facilitated unsupervised visual feature acquisition Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P87 |
0.345 |
|
| 2011 |
Vempala NN, Maida AS. Effects of memory size on melody recognition in a simulation of cohort theory Cognitive Systems Research. 12: 66-78. DOI: 10.1016/j.cogsys.2010.07.003 |
0.698 |
|
| 2009 |
Vempala NN, Maida AS. Modeling melody recognition using a sequence recognition neural network with meta-level processes Proceedings of the International Joint Conference On Neural Networks. 3204-3211. DOI: 10.1109/IJCNN.2009.5178610 |
0.698 |
|
| 2007 |
Moustafa AA, Maida AS. Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia Cognitive Systems Research. 8: 262-281. DOI: 10.1016/J.Cogsys.2007.02.001 |
0.537 |
|
| 2007 |
Lakhotia A, Golconda S, Maida A, Mejia P, Puntambeker A, Seetharaman G, Wilson S. CajunBot: Architecture and algorithms Springer Tracts in Advanced Robotics. 36: 245-280. DOI: 10.1007/978-3-540-73429-1_8 |
0.67 |
|
| 2006 |
Maida AS, Golconda S, Mejia P, Lakhotia A, Cavanaugh C. Subgoal-based local navigation and obstacle avoidance using a grid-distance field International Journal of Vehicle Autonomous Systems. 4: 122-142. DOI: 10.1504/Ijvas.2006.012203 |
0.667 |
|
| 2006 |
Rowland BA, Maida AS, Berkeley ISN. Synaptic noise as a means of implementing weight-perturbation learning Connection Science. 18: 69-79. DOI: 10.1080/09540090500386551 |
0.682 |
|
| 2006 |
Günay C, Maida AS. Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines Neurocomputing. 69: 317-367. DOI: 10.1016/j.neucom.2005.03.008 |
0.608 |
|
| 2006 |
Lakhotia A, Golconda S, Maida A, Mejia P, Puntambeker A, Seetharaman G, Wilson S. Field report: CajunBot: Architecture and algorithms Journal of Field Robotics. 23: 555-578. DOI: 10.1002/Rob.20129 |
0.675 |
|
| 1991 |
Maida AS. Maintaining mental models of agents who have existential misconceptions Artificial Intelligence. 50: 331-383. DOI: 10.1016/0004-3702(91)90018-F |
0.366 |
|
| 1989 |
Iwama K, Maida AS. Organizing and integrating edge segments for texture discrimination Journal of Experimental and Theoretical Artificial Intelligence. 1: 113-132. DOI: 10.1080/09528138908953696 |
0.328 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 1982 |
Maida AS, Shapiro SC. Intensional concepts in propositional semantic networks Cognitive Science. 6: 291-330. DOI: 10.1016/S0364-0213(82)80007-4 |
0.274 |
|
| 2019 |
Venna SR, Tavanaei A, Gottumukkala RN, Raghavan VV, Maida AS, Nichols S. A Novel Data-Driven Model for Real-Time Influenza Forecasting Ieee Access. 7: 7691-7701. DOI: 10.1109/Access.2018.2888585 |
0.259 |
|
| 1993 |
Maida AS. Propositionally representing incomplete knowledge about existence Journal of Experimental and Theoretical Artificial Intelligence. 5: 185-197. DOI: 10.1080/09528139308953768 |
0.238 |
|
| 1993 |
Kim M, Maida AS. Reliability Measure Theory: A Nonmonotonic Semantics Ieee Transactions On Knowledge and Data Engineering. 5: 41-51. DOI: 10.1109/69.204090 |
0.229 |
|
| 2019 |
Elsayed N, Maida A, Bayoumi M. Effects of Different Activation Functions for Unsupervised Convolutional LSTM Spatiotemporal Learning Advances in Science, Technology and Engineering Systems Journal. 4: 260-269. DOI: 10.25046/Aj040234 |
0.227 |
|
| 2020 |
Hosseini M, Katragadda S, Wojtkiewicz J, Gottumukkala R, Maida A, Chambers TL. Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units Energies. 13: 3914. DOI: 10.3390/en13153914 |
0.225 |
|
| 1997 |
Maida AS, Tang S. Description-based communication for autonomous agents under ideal conditions Journal of Experimental and Theoretical Artificial Intelligence. 9: 103-135. DOI: 10.1080/095281397147266 |
0.224 |
|
| 1985 |
Maida AS. Selecting a humanly understandable knowledge representation for reasoning about knowledge International Journal of Man-Machine Studies. 22: 151-161. DOI: 10.1016/S0020-7373(85)80067-5 |
0.215 |
|
| 1983 |
Maida AS. Review of "Machine Intelligence and Related Topics: An Information Scientist's Weekend Book by Donald Michie"; Gordon & Breach, Science Publishers, Inc., ISBN 0-677-05560-9, 1982. Intelligence\/Sigart Bulletin. 85: 27-28. DOI: 10.1145/1056635.1056641 |
0.214 |
|
| 2020 |
Hosseini M, Maida AS, Hosseini M, Raju G. Inception LSTM for Next-frame Video Prediction (Student Abstract) Proceedings of the Aaai Conference On Artificial Intelligence. 34: 13809-13810. DOI: 10.1609/aaai.v34i10.7176 |
0.203 |
|
| 2013 |
Lemoine B, Maida AS. GPU facilitated unsupervised visual feature acquisition in spiking neural networks Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706963 |
0.193 |
|
| 2006 |
Günay C, Maida AS. A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. Biological Cybernetics. 94: 33-45. PMID 16283375 DOI: 10.1007/s00422-005-0023-y |
0.192 |
|
| 2022 |
Triche A, Maida AS, Kumar A. Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 151: 16-33. PMID 35367735 DOI: 10.1016/j.neunet.2022.03.021 |
0.186 |
|
| 2003 |
Günay C, Maida AS. Temporal binding as an inducer for connectionist recruitment learning over delayed lines. Neural Networks : the Official Journal of the International Neural Network Society. 16: 593-600. PMID 12850012 DOI: 10.1016/S0893-6080(03)00117-5 |
0.183 |
|
| 2009 |
Tiesel JP, Maida AS. Using parallel GPU architecture for simulation of planar I/F networks Proceedings of the International Joint Conference On Neural Networks. 3118-3123. DOI: 10.1109/IJCNN.2009.5178688 |
0.174 |
|
| 2000 |
Maida AS. Identifying causal structure in a biological neural network Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2000: 126-129. DOI: 10.1109/TAI.2000.889857 |
0.162 |
|
| 2009 |
James D, Maida AS. Sequential hierarchical recruitment learning in a network of spiking neurons Proceedings of the International Joint Conference On Neural Networks. 1407-1413. DOI: 10.1109/IJCNN.2009.5178686 |
0.143 |
|
| 2024 |
Chilukoti SV, Shan L, Tida VS, Maida AS, Hei X. A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric. Bmc Medical Informatics and Decision Making. 24: 37. PMID 38321416 DOI: 10.1186/s12911-024-02446-x |
0.137 |
|
| 1987 |
Maida AS. UNIFORM ARCHITECTURE FOR RULE-BASED META-REASONING AND REPRESENTATION: A CASE STUDY . 652-657. |
0.131 |
|
| 2001 |
Maida AS, Rowland BA, Günay C. Simulation of planar I/F networks with delayed connections Proceedings of the International Joint Conference On Neural Networks. 1: 302-307. |
0.124 |
|
| 2009 |
Russell SA, Maida AS. Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method Proceedings of the International Joint Conference On Neural Networks. 2725-2731. DOI: 10.1109/IJCNN.2009.5178974 |
0.118 |
|
| 2021 |
Rabby MF, Tu Y, Hossen MI, Lee I, Maida AS, Hei X. Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction. Bmc Medical Informatics and Decision Making. 21: 101. PMID 33726723 DOI: 10.1186/s12911-021-01462-5 |
0.108 |
|
| 1999 |
Lagoudakis MG, Maida AS. Neural maps for mobile robot navigation Proceedings of the International Joint Conference On Neural Networks. 3: 2011-2016. |
0.106 |
|
| 1999 |
Lagoudakis MG, Maida AS. Robot navigation with a polar neural map Proceedings of the National Conference On Artificial Intelligence. 965. |
0.099 |
|
| 2013 |
McCaffery JP, Maida AS. Toward a causal topic model for video scene analysis Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706941 |
0.079 |
|
| 1983 |
Maida AS. PROCESSING ENTAILMENTS AND ACCESSING FACTS IN A UNIFORM FRAME SYSTEM . 233-236. |
0.078 |
|
| 2003 |
Günay C, Maida AS. Using Temporal Binding for Connectionist Recruitment Learning over Delayed Lines Proceedings of the International Joint Conference On Neural Networks. 1: 224-229. |
0.073 |
|
| 2001 |
Günay C, Maida AS. The required measures of phase segregation in distributed cortical processing Proceedings of the International Joint Conference On Neural Networks. 1: 290-295. |
0.056 |
|
| 2013 |
Gupta A, Ayhan MS, Maida AS. Natural image bases to represent neuroimaging data 30th International Conference On Machine Learning, Icml 2013. 2024-2031. |
0.05 |
|
| 2020 |
Elsayed N, Maida AS, Bayoumi M. Reduced‐gate convolutional long short‐term memory using predictive coding for spatiotemporal prediction Computational Intelligence. 36: 910-939. DOI: 10.1111/coin.12277 |
0.05 |
|
| 1990 |
Wainer J, Maida A. Good and Bad News in Formalizing Generalized Implicatures Annual Meeting of the Berkeley Linguistics Society. 16: 530. DOI: 10.3765/BLS.V16I0.1691 |
0.049 |
|
| 2002 |
Smith JJ, Maida A, Henderson JA. Hospital outpatient prospective payment under Medicare: understanding the system and its implications. Radiology. 225: 13-9. PMID 12354977 DOI: 10.1148/radiol.2251011304 |
0.041 |
|
| 2013 |
Pourmohammad S, Soosahabi R, Maida AS. An efficient character recognition scheme based on k-means clustering 2013 5th International Conference On Modeling, Simulation and Applied Optimization, Icmsao 2013. DOI: 10.1109/ICMSAO.2013.6552640 |
0.04 |
|
| 1991 |
Maida AS, Wainer J, Cho S. Syntactic approach to introspection and reasoning about the beliefs of other agents Fundamenta Mathematicae. 15: 333-356. |
0.04 |
|
| 1991 |
Dunn D, Higgins WE, Maida A, Wakeley J. Texture boundary classification using Gabor elementary functions Proceedings of Spie - the International Society For Optical Engineering. 1606: 541-552. |
0.035 |
|
| 1987 |
Kim M, Maida AS. FRAME SYSTEMS AND INHERITANCE SYSTEMS . 636-643. |
0.011 |
|
| 1995 |
Shalin VL, Buntine WL, Parker SG, Higginbotham J, Ballim A, Maida AS, Fletcher CR, Kemerer DL, Shapiro LA, Wyatt R, Kumar D, Bringsjord S, Patterson B. Book reviews Minds and Machines. 5: 257-307. DOI: 10.1007/BF00974747 |
0.01 |
|
| 1983 |
Maida AS. KNOWING INTENSIONAL INDIVIDUALS, AND REASONING ABOUT KNOW INTENSIONAL INDIVIDUALS . 1: 382-384. |
0.01 |
|
| 1977 |
Alexander RW, Brennan JC, Maida AS, Walker RJ. The value of preplacement medical examinations for nonhazardous light duty work. Journal of Occupational Medicine. : Official Publication of the Industrial Medical Association. 19: 107-12. PMID 402445 |
0.01 |
|
| 1975 |
Alexander RW, Maida AS, Walker RJ. The validity of preemployment medical evaluations. Journal of Occupational Medicine. : Official Publication of the Industrial Medical Association. 17: 687-92. PMID 1195025 |
0.01 |
|
| Hide low-probability matches. |
