Anthony S. Maida
Orcid: 0000-0003-2586-2865Affiliations:
- University of Louisiana at Lafayette, LA, USA
According to our database1,
Anthony S. Maida
authored at least 80 papers
between 1982 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric.
BMC Medical Informatics Decis. Mak., December, 2024
Image Vis. Comput., January, 2024
2023
SN Comput. Sci., 2023
CoRR, 2023
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication.
CoRR, 2023
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023
2022
Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks.
Neural Networks, 2022
CoRR, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
2021
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction.
BMC Medical Informatics Decis. Mak., 2021
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
2020
CoRR, 2020
Reduced-gate convolutional long short-term memory using predictive coding for spatiotemporal prediction.
Comput. Intell., 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Neurocomputing, 2019
Gated Recurrent Neural Networks Empirical Utilization for Time Series Classification.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019
Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding.
Proceedings of the International Joint Conference on Neural Networks, 2019
An Analysis of Univariate and Multivariate Electrocardiography Signal Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
J. Signal Process. Syst., 2018
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification.
CoRR, 2018
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction.
CoRR, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Neurocomputing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning.
CoRR, 2016
Acquisition of visual features through probabilistic spike-timing-dependent plasticity.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Towards recognition of protein function based on its structure using deep convolutional networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Studying the interaction of a hidden Markov model with a Bayesian spiking neural network.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2011
Cogn. Syst. Res., 2011
2009
Modeling melody recognition using a sequence recognition neural network with meta-level processes.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
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, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2007
Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia.
Cogn. Syst. Res., 2007
2006
Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines.
Neurocomputing, 2006
Connect. Sci., 2006
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks.
Biol. Cybern., 2006
2004
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004
2003
Temporal binding as an inducer for connectionist recruitment learning over delayed lines.
Neural Networks, 2003
2001
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001
2000
Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999
1997
J. Exp. Theor. Artif. Intell., 1997
1995
1993
IEEE Trans. Knowl. Data Eng., 1993
J. Exp. Theor. Artif. Intell., 1993
1992
Knowledge Representation Requirements for Description-Based Communication.
Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992
1991
A syntactic approach to introspection and reasoning about the beliefs of other agents.
Fundam. Informaticae, 1991
Artif. Intell., 1991
1989
J. Exp. Theor. Artif. Intell., 1989
1987
A Uniform Architecture for Rule-based Meta Reasoning and Representation.
Proceedings of the Methodologies for Intelligent Systems, 1987
Frame and Inheritance Systems.
Proceedings of the Methodologies for Intelligent Systems, 1987
Proceedings of the 1987 Fall Joint Computer Conference on Exploring technology: today and tomorrow, 1987
1985
Selecting a Humanly Understandable Knowledge Representation for Reasoning About Knowledge.
Int. J. Man Mach. Stud., 1985
1984
Proceedings of the National Conference on Artificial Intelligence. Austin, 1984
1983
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.
SIGART Newsl., 1983
Knowing Intensional Individuals, and Reasoning About Knowing Intensional Individuals.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983
1982