Anthony S. Maida

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 50

Top Topics

Unsupervised Learning

Predictive Coding

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Nazmul Shahadat, Anthony S. Maida
Improving Axial-Attention Network via Cross-Channel Weight Sharing. FLAIRS (2024)
Nazmul Shahadat, Anthony S. Maida
Cross channel weight sharing for image classification. Image Vis. Comput. 141 (2024)
Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida, Xiali Hei
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Nazmul Shahadat, Anthony S. Maida
Deep Axial Hypercomplex Networks. CoRR (2023)
Nazmul Shahadat, Anthony S. Maida
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication. CoRR (2023)
Nazmul Shahadat, Anthony S. Maida
Deep Residual Axial Networks. CoRR (2023)
Nazmul Shahadat, Anthony S. Maida
Deep Separable Hypercomplex Networks. FLAIRS (2023)
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks. CoRR (2023)
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
LiteLSTM Architecture for Deep Recurrent Neural Networks. ISCAS (2022)
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
Vision-Based American Sign Language Classification Approach via Deep Learning. CoRR (2022)
Anthony Triche, Anthony S. Maida, Ashok Kumar
Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks. Neural Networks 151 (2022)
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
LiteLSTM Architecture for Deep Recurrent Neural Networks. CoRR (2022)
Andrew Wise, Anthony S. Maida, Ashok Kumar
Attention Augmented CNNs for Musical Instrument Identification. EUSIPCO (2021)
Md Fazle Rabby, Yazhou Tu, Md Imran Hossen, Insup Lee, Anthony S. Maida, Xiali Hei
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction. CoRR (2021)
Chase J. Gaudet, Anthony S. Maida
Removing Dimensional Restrictions On Complex/Hyper-Complex Neural Networks. ICIP (2021)
Nazmul Shahadat, Anthony S. Maida
Adding Quaternion Representations to Attention Networks for Classification. CoRR (2021)
Md Fazle Rabby, Yazhou Tu, Md Imran Hossen, Insup Lee, Anthony S. Maida, Xiali Hei
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Chase J. Gaudet, Anthony S. Maida
Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions. CoRR (2020)
Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju Gottumukkala
Inception LSTM for Next-frame Video Prediction (Student Abstract). AAAI (2020)
Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
Reduced-gate convolutional long short-term memory using predictive coding for spatiotemporal prediction. Comput. Intell. 36 (3) (2020)
Matin Hosseini, Anthony S. Maida
Hierarchical Predictive Coding Models in a Deep-Learning Framework. CoRR (2020)
Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
Gated Recurrent Neural Networks Empirical Utilization for Time Series Classification. iThings/GreenCom/CPSCom/SmartData (2019)
Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
An Analysis of Univariate and Multivariate Electrocardiography Signal Classification. ICMLA (2019)
Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding. IJCNN (2019)
Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju N. Gottumukkala
Inception-inspired LSTM for Next-frame Video Prediction. CoRR (2019)
Siva R. Venna, Amirhossein Tavanaei, Raju N. Gottumukkala, Vijay V. Raghavan, Anthony S. Maida, Stephen Nichols
A Novel Data-Driven Model for Real-Time Influenza Forecasting. IEEE Access 7 (2019)
Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification. CoRR (2018)
Amirhossein Tavanaei, Anthony S. Maida
Training a Hidden Markov Model with a Bayesian Spiking Neural Network. J. Signal Process. Syst. 90 (2) (2018)
Amirhossein Tavanaei, Zachary Kirby, Anthony S. Maida
Training Spiking ConvNets by STDP and Gradient Descent. IJCNN (2018)
Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction. CoRR (2018)
Chase J. Gaudet, Anthony S. Maida
Deep Quaternion Networks. IJCNN (2018)
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony S. Maida
Deep Learning in Spiking Neural Networks. CoRR (2018)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Representation learning using event-based STDP. Neural Networks 105 (2018)
Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan
Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. IJCNN (2018)
Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
Empirical Activation Function Effects on Unsupervised Convolutional LSTM Learning. ICTAI (2018)
Amirhossein Tavanaei, Anthony S. Maida
Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. ICONIP (6) (2017)
Chase J. Gaudet, Anthony S. Maida
Deep Quaternion Networks. CoRR (2017)
Amirhossein Tavanaei, Anthony S. Maida
Multi-layer unsupervised learning in a spiking convolutional neural network. IJCNN (2017)
Amirhossein Tavanaei, Anthony S. Maida
A spiking network that learns to extract spike signatures from speech signals. Neurocomputing 240 (2017)
Amirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj
A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure. BIBM (2017)
Amirhossein Tavanaei, Anthony S. Maida
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity. CoRR (2017)
Amirhossein Tavanaei, Anthony S. Maida
Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. CoRR (2017)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Representation Learning using Event-based STDP. CoRR (2017)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity. CoRR (2016)
Amirhossein Tavanaei, Anthony S. Maida
Training a Hidden Markov Model with a Bayesian Spiking Neural Network. CoRR (2016)
Padraic D. Edgington, Anthony S. Maida
Exact Particle Filter Modularization Improves Runtime Performance. ECAI (2016)
Amirhossein Tavanaei, Anthony S. Maida, Arun Kaniymattam, Rasiah Loganantharaj
Towards recognition of protein function based on its structure using deep convolutional networks. BIBM (2016)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Acquisition of visual features through probabilistic spike-timing-dependent plasticity. IJCNN (2016)
Amirhossein Tavanaei, Anthony S. Maida
A Spiking Network that Learns to Extract Spike Signatures from Speech Signals. CoRR (2016)
Amirhossein Tavanaei, Anthony S. Maida
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning. CoRR (2016)
Amirhossein Tavanaei, Anthony S. Maida
Studying the interaction of a hidden Markov model with a Bayesian spiking neural network. MLSP (2015)
Blake Lemoine, Anthony S. Maida
GPU facilitated unsupervised visual feature acquisition in spiking neural networks. IJCNN (2013)
John P. McCaffery, Anthony S. Maida
Toward a causal topic model for video scene analysis. IJCNN (2013)
Naresh N. Vempala, Anthony S. Maida
Effects of memory size on melody recognition in a simulation of cohort theory. Cogn. Syst. Res. 12 (1) (2011)
Steele A. Russell, Anthony S. Maida
Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method. IJCNN (2009)
Derek James, Anthony S. Maida
Sequential hierarchical recruitment learning in a network of spiking neurons. IJCNN (2009)
Naresh N. Vempala, Anthony S. Maida
Modeling melody recognition using a sequence recognition neural network with meta-level processes. IJCNN (2009)
Jan-Phillip Tiesel, Anthony S. Maida
Using parallel GPU architecture for simulation of planar I/F networks. IJCNN (2009)
Ahmed A. Moustafa, Anthony S. Maida
Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia. Cogn. Syst. Res. 8 (4) (2007)
Cengiz Günay, Anthony S. Maida
Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines. Neurocomputing 69 (4-6) (2006)
Benjamin A. Rowland, Anthony S. Maida, Istvan S. N. Berkeley
Synaptic noise as a means of implementing weight-perturbation learning. Connect. Sci. 18 (1) (2006)
Cengiz Günay, Anthony S. Maida
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. Biol. Cybern. 94 (1) (2006)
Benjamin A. Rowland, Anthony S. Maida
Spatiotemporal Novelty Detection Using Resonance Networks. FLAIRS Conference (2004)
Cengiz Günay, Anthony S. Maida
Temporal binding as an inducer for connectionist recruitment learning over delayed lines. Neural Networks 16 (5-6) (2003)
Anthony S. Maida, Benjamin A. Rowland, Cengiz Günay
Synchronized Firing in a Time-Delayed Neural Network. FLAIRS Conference (2001)
Anthony S. Maida
Identifying causal structure in a biological neural network. ICTAI (2000)
Michail G. Lagoudakis, Anthony S. Maida
Robot Navigation with a Polar Neural Map. AAAI/IAAI (1999)
Michail G. Lagoudakis, Anthony S. Maida
Neural maps for mobile robot navigation. IJCNN (1999)
Anthony S. Maida, Shaohua Tang
Description-based communication for autonomous agents under ideal conditions. J. Exp. Theor. Artif. Intell. 9 (1) (1997)
Valerie L. Shalin, Wray L. Buntine, S. Gillian Parker, James Higginbotham, Afzal Ballim, Anthony S. Maida, Charles R. Fletcher, David L. Kemerer, Lawrence A. Shapiro, Richard Wyatt, Deepak Kumar, Selmer Bringsjord, Bill Patterson
Book reviews. Minds Mach. 5 (2) (1995)
Anthony S. Maida
Propositionally representing incomplete knowledge about existence. J. Exp. Theor. Artif. Intell. 5 (2-3) (1993)
Minkoo Kim, Anthony S. Maida
Reliability Measure Theory: A Nonmonotonic Semantics. IEEE Trans. Knowl. Data Eng. 5 (1) (1993)
Anthony S. Maida
Knowledge Representation Requirements for Description-Based Communication. KR (1992)
Anthony S. Maida, Jacques Wainer, Sehyeong Cho
A syntactic approach to introspection and reasoning about the beliefs of other agents. Fundam. Informaticae 15 (3-4) (1991)
Anthony S. Maida
Maintaining Mental Models of Agents who have Existential Misconceptions. Artif. Intell. 50 (3) (1991)
Kenzo Iwama, Anthony S. Maida
Organizing and integrating edge segments for texture discrimination. J. Exp. Theor. Artif. Intell. 1 (2) (1989)
Minkoo Kim, Anthony S. Maida
Frame and Inheritance Systems. ISMIS (1987)
Anthony S. Maida
A Uniform Architecture for Rule-based Meta Reasoning and Representation. ISMIS (1987)
Minkoo Kim, Anthony S. Maida
Frame systems and inheritance systems. FJCC (1987)
Anthony S. Maida
Selecting a Humanly Understandable Knowledge Representation for Reasoning About Knowledge. Int. J. Man Mach. Stud. 22 (2) (1985)
Anthony S. Maida
Processing Entailments and Accessing Facts in a Uniform Frame System. AAAI (1984)
Anthony S. Maida
Knowing Intensional Individuals, and Reasoning About Knowing Intensional Individuals. IJCAI (1983)
Anthony S. Maida
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. 85 (1983)
Anthony S. Maida, Stuart C. Shapiro
Intensional Concepts in Propositional Semantic Networks. Cogn. Sci. 6 (4) (1982)