A. Maida

发表

An efficient character recognition scheme based on k-means clustering

Reza Soosahabi, S. Pourmohammad, A. Maida, 2013, 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO).

BIO-INSPIRED SPIKING CONVOLUTIONAL NETWORK USING LAYER-WISE SPARSE CODING AND STDP LEARNING

A. Maida, A. Tavanaei, 2017 .

CajunBot-II : Autonomous Vehicle for DARPA Urban Challenge 1 . Executive Summary

Arun Lakhotia, G. Seetharaman, A. Maida, 2007 .

Using Temporal Binding for Robust Connectionist Recruitment Learning over Delayed Lines ∗

Cengiz Günay, Anthony S. Maida, Cengiz Günay, 2003 .

Bilaterally Symmetrical Encoding in the Evolution of Artificial Neural Networks for Symmetry Detection

Derek James, A. Maida, P. Dallas, 2006 .

Reliability Measure Theory

Minkoo Kim, A. Maida, 1993 .

Book reviews

Selmer Bringsjord, Charles R. Fletcher, Deepak Kumar, 2004, Minds and Machines.

Neural Network Essentials 1 Draft

A. Maida, 2003 .

Diabetic Retinopathy Detection using Transfer Learning from Pre-trained Convolutional Neural Network Models

A. Maida, Xiali Hei, Sai venkatesh Chilukoti, 2022 .

Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units

Raju N. Gottumukkala, T. Chambers, Jessica Wojtkiewicz, 2020, Energies.

Inception-inspired LSTM for Next-frame Video Prediction

Raju N. Gottumukkala, Matin Hosseini, Majid Hosseini, 2019, ArXiv.

LiteLSTM Architecture for Deep Recurrent Neural Networks

A. Maida, Nelly Elsayed, Zag ElSayed, 2022, 2022 IEEE International Symposium on Circuits and Systems (ISCAS).

Representation Learning using Event-based STDP

Timothée Masquelier, Anthony S. Maida, Amirhossein Tavanaei, 2017, Neural Networks.

Learning Simplified Decision Boundaries from Trapezoidal Data Streams

Xindong Wu, Matin Hosseini, Anthony Maida, 2018, ICANN.

Synaptic noise as a means of implementing weight-perturbation learning

Benjamin A. Rowland, Anthony S. Maida, Istvan S. N. Berkeley, 2006, Connect. Sci..

Deep Quaternion Networks

Anthony S. Maida, Chase J. Gaudet, A. Maida, 2017, 2018 International Joint Conference on Neural Networks (IJCNN).

Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks

A. Maida, Anthony Triche, Ashok Kumar, 2022, Neural Networks.

Hierarchical Predictive Coding Models in a Deep-Learning Framework

Matin Hosseini, A. Maida, 2020, ArXiv.

Maintaining Mental Models of Agents who have Existential Misconceptions

Anthony S. Maida, A. Maida, 1991, Artif. Intell..

Deep Learning in Spiking Neural Networks

Timothée Masquelier, Anthony S. Maida, Amirhossein Tavanaei, 2018, Neural Networks.

Reliability Measure Theory: A Nonmonotonic Semantics

Minkoo Kim, Anthony S. Maida, Minkoo Kim, 1993, IEEE Trans. Knowl. Data Eng..

Effects of memory size on melody recognition in a simulation of cohort theory

Anthony S. Maida, Naresh N. Vempala, A. Maida, 2011, Cognitive Systems Research.

Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization

Vijay V. Raghavan, Anthony S. Maida, Amirhossein Tavanaei, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Towards recognition of protein function based on its structure using deep convolutional networks

Rasiah Loganantharaj, Anthony S. Maida, Amirhossein Tavanaei, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines

Cengiz Günay, Anthony S. Maida, Cengiz Günay, 2006, Neurocomputing.

Spatiotemporal Novelty Detection Using Resonance Networks

Benjamin A. Rowland, Anthony S. Maida, B. Rowland, 2004, FLAIRS.

Hierarchical learning of conjunctive concepts in spiking neural networks

Cengiz Günay, Anthony S. Maida, Cengiz Günay, 2003 .

Empirical Activation Function Effects on Unsupervised Convolutional LSTM Learning

Magdy A. Bayoumi, Anthony S. Maida, Nelly Elsayed, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Organizing and integrating edge segments for texture discrimination

Kenzo Iwama, Anthony S. Maida, A. Maida, 1990, J. Exp. Theor. Artif. Intell..

Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia

Anthony S. Maida, Ahmed A. Moustafa, A. Moustafa, 2007, Cognitive Systems Research.

Modeling melody recognition using a sequence recognition neural network with meta-level processes

Anthony S. Maida, Naresh N. Vempala, A. Maida, 2009, 2009 International Joint Conference on Neural Networks.

Modeling a Melody Recognition Task using a Cohort Network

Anthony S. Maida, Naresh N. Vempala, A. Maida, 2009 .

Subgoal-based local navigation and obstacle avoidance using a grid-distance field

Suresh Golconda, Anthony S. Maida, Pablo Mejia, 2006 .

Natural Image Bases to Represent Neuroimaging Data

Anthony Maida, Ashish Gupta, Murat Ayhan, 2013, ICML.

A novel data-driven model for real-time influenza forecasting

Vijay V. Raghavan, Stephen Nichols, Anthony S. Maida, 2017, bioRxiv.

BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity pdf

Anthony Maida, Amirhossein Tavanaei, A. Maida, 2017, Neurocomputing.

Training Spiking ConvNets by STDP and Gradient Descent

Anthony S. Maida, Amirhossein Tavanaei, Zachary Kirby, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A spiking network that learns to extract spike signatures from speech signals

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2016, Neurocomputing.

Acquisition of visual features through probabilistic spike-timing-dependent plasticity

Timothée Masquelier, Anthony S. Maida, Amirhossein Tavanaei, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Neural maps for mobile robot navigation

Michail G. Lagoudakis, Anthony S. Maida, M. Lagoudakis, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Description-based communication for autonomous agents under ideal conditions

Shaohua Tang, Anthony S. Maida, A. Maida, 1997, J. Exp. Theor. Artif. Intell..

Intensional Concepts in Propositional Semantic Networks

Stuart C. Shapiro, Anthony S. Maida, S. Shapiro, 1982, Cogn. Sci..

Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification pdf

Magdy A. Bayoumi, Anthony S. Maida, Nelly Elsayed, 2018, International Journal of Advanced Computer Science and Applications.

A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks

Cengiz Günay, Anthony S. Maida, Cengiz Günay, 2005, Biological Cybernetics.

Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction

Magdy A. Bayoumi, Anthony S. Maida, Nelly Elsayed, 2018, Comput. Intell..

A Review of Quantum Computer Energy Efficiency

Magdy Bayoumi, Anthony S. Maida, Nelly Elsayed, 2019, 2019 IEEE Green Technologies Conference(GreenTech).

Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2017, ICONIP.

Multi-layer unsupervised learning in a spiking convolutional neural network

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning pdf

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2016, ArXiv.

A Minimal Spiking Neural Network to Rapidly Train and Classify Handwritten Digits in Binary and 10-Digit Tasks

Anthony S. Maida, Amirhossein Tavanaei, S Anthony, 2015 .

Using temporal binding for connectionist recruitment learning over delayed lines

C. Gunay, A.S. Maida, A. Maida, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Frame systems and inheritance systems

Minkoo Kim, Anthony S. Maida, Minkoo Kim, 1987, FJCC.

An Analysis of Univariate and Multivariate Electrocardiography Signal Classification

Magdy Bayoumi, Anthony S. Maida, Nelly Elsayed, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Training a Hidden Markov Model with a Bayesian Spiking Neural Network

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2016, Journal of Signal Processing Systems.

Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction pdf

Insup Lee, Xiali Hei, Anthony S. Maida, 2021, BMC Medical Informatics and Decision Making.

Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding

Magdy Bayoumi, Anthony S. Maida, Nelly Elsayed, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks

A. Maida, Nelly Elsayed, Zag ElSayed, 2023, ArXiv.

Effects of Different Activation Functions for Unsupervised Convolutional LSTM Spatiotemporal Learning

Magdy Bayoumi, Anthony S. Maida, Nelly Elsayed, 2019, Advances in Science, Technology and Engineering Systems Journal.

Training a Hidden Markov Model with a Bayesian Spiking Neural Network

A. Maida, A. Tavanaei, 2016, Journal of Signal Processing Systems.

Sequential hierarchical recruitment learning in a network of spiking neurons

Anthony S. Maida, Derek James, Derek James, 2009, 2009 International Joint Conference on Neural Networks.

Inception Recurrent Neural Network Architecture for Video Frame Prediction

Raju N. Gottumukkala, Matin Hosseini, A. Maida, 2022, SN Computer Science.

Inception LSTM for Next-frame Video Prediction (Student Abstract)

Matin Hosseini, Raju Gottumukkala, Anthony S. Maida, 2020, AAAI.

Neural Network Essentials 1 Draft : Associative Memory

A. Maida, 2003 .

Naming Observed Objects (revised)

Heng Zhou, Steve Giambrone, Anthony S. Maida, 1995 .

A Deep Learning Model for Predicting Tumor Suppressor Genes and Oncogenes from PDB Structure

Rasiah Loganantharaj, Anthony S. Maida, Amirhossein Tavanaei, 2017, bioRxiv.

Gated Recurrent Neural Networks Empirical Utilization for Time Series Classification

Magdy Bayoumi, Anthony S. Maida, Nelly Elsayed, 2019, 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions pdf

Chase J Gaudet, Anthony S Maida, Chase J. Gaudet, 2020, ArXiv.

Temporal binding as an inducer for connectionist recruitment learning over delayed lines

Cengiz Günay, Anthony S. Maida, Cengiz Günay, 2003, Neural Networks.

Simulation of planar I/F networks with delayed connections

C. Gunay, A.S. Maida, B.A. Rowland, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Deep Learning in Spiking Neural Networks

T. Masquelier, S. R. Kheradpisheh, M. Ghodrati, 2018, Neural Networks.

Cognitive Computing and Neural Networks: Reverse Engineering the Brain

Anthony S. Maida, A. Maida, 2016 .

Representation Learning using Event-based STDP

T. Masquelier, A. Maida, A. Tavanaei, 2017, Neural Networks.

Neural Network Essentials 1 Draft: Associative Memory Chapter

Anthony S. Maida, A. Maida, 2003 .

Studying the interaction of a hidden Markov model with a Bayesian spiking neural network

Anthony S. Maida, Amirhossein Tavanaei, A. Maida, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Sensor Sequential Data-Stream Classification Using Deep Gated Hybrid Architecture

Magdy Bayoumi, Anthony S. Maida, Nelly Elsayed, 2019, 2019 IEEE Green Technologies Conference(GreenTech).

Toward a causal topic model for video scene analysis

Anthony S. Maida, John P. McCaffery, A. Maida, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).