Intensional Concepts in Propositional Semantic Networks. - Anthony S. Maida; Stuart C. Shapiro (Cogn. Sci., 1982)

Knowing Intensional Individuals, and Reasoning About Knowing Intensional Individuals. - Anthony S. Maida (IJCAI, 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. - Anthony S. Maida (SIGART Newsl., 1983)

Processing Entailments and Accessing Facts in a Uniform Frame System. - Anthony S. Maida (AAAI, 1984)

Selecting a Humanly Understandable Knowledge Representation for Reasoning About Knowledge. - Anthony S. Maida (Int. J. Man Mach. Stud., 1985)

Frame systems and inheritance systems. - Minkoo Kim; Anthony S. Maida (FJCC, 1987)

Frame and Inheritance Systems. - Minkoo Kim; Anthony S. Maida (ISMIS, 1987)

A Uniform Architecture for Rule-based Meta Reasoning and Representation. - Anthony S. Maida (ISMIS, 1987)

Organizing and integrating edge segments for texture discrimination. - Kenzo Iwama; Anthony S. Maida (J. Exp. Theor. Artif. Intell., 1989)

Maintaining Mental Models of Agents who have Existential Misconceptions. - Anthony S. Maida (Artif. Intell., 1991)

A syntactic approach to introspection and reasoning about the beliefs of other agents. - Anthony S. Maida; Jacques Wainer; Sehyeong Cho (Fundam. Informaticae, 1991)

Knowledge Representation Requirements for Description-Based Communication. - Anthony S. Maida (KR, 1992)

Propositionally representing incomplete knowledge about existence. - Anthony S. Maida (J. Exp. Theor. Artif. Intell., 1993)

Reliability Measure Theory: A Nonmonotonic Semantics. - Minkoo Kim; Anthony S. Maida (IEEE Trans. Knowl. Data Eng., 1993)

Book reviews. - 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 001; Deepak Kumar 002; Selmer Bringsjord; et al. (Minds Mach., 1995)

Description-based communication for autonomous agents under ideal conditions. - Anthony S. Maida; Shaohua Tang (J. Exp. Theor. Artif. Intell., 1997)

Robot Navigation with a Polar Neural Map. - Michail G. Lagoudakis; Anthony S. Maida (AAAI/IAAI, 1999)

Neural maps for mobile robot navigation. - Michail G. Lagoudakis; Anthony S. Maida (IJCNN, 1999)

Identifying causal structure in a biological neural network. - Anthony S. Maida (ICTAI, 2000)

Synchronized Firing in a Time-Delayed Neural Network. - Anthony S. Maida; Benjamin A. Rowland; Cengiz Günay (FLAIRS, 2001)

Using temporal binding for connectionist recruitment learning over delayed lines. - Cengiz Günay; Anthony S. Maida (IJCNN, 2003)

Temporal binding as an inducer for connectionist recruitment learning over delayed lines. - Cengiz Günay; Anthony S. Maida (Neural Networks, 2003)

Spatiotemporal Novelty Detection Using Resonance Networks. - Benjamin A. Rowland; Anthony S. Maida (FLAIRS, 2004)

A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. - Cengiz Günay; Anthony S. Maida (Biol. Cybern., 2006)

Synaptic noise as a means of implementing weight-perturbation learning. - Benjamin A. Rowland; Anthony S. Maida; Istvan S. N. Berkeley (Connect. Sci., 2006)

Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines. - Cengiz Günay; Anthony S. Maida (Neurocomputing, 2006)

CajunBot: Architecture and algorithms. - Arun Lakhotia; Suresh Golconda; Anthony Maida; Pablo Mejia; Amit Puntambeker; Guna Seetharaman; Scott Wilson (J. Field Robotics, 2006)

Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia. - Ahmed A. Moustafa; Anthony S. Maida (Cogn. Syst. Res., 2007)

Sequential hierarchical recruitment learning in a network of spiking neurons. - Derek James; Anthony S. Maida (IJCNN, 2009)

Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method. - Steele A. Russell; Anthony S. Maida (IJCNN, 2009)

Using parallel GPU architecture for simulation of planar I/F networks. - Jan-Phillip Tiesel; Anthony S. Maida (IJCNN, 2009)

Modeling melody recognition using a sequence recognition neural network with meta-level processes. - Naresh N. Vempala; Anthony S. Maida (IJCNN, 2009)

Performance of generalized multilayered perceptons trained using the Levenberg-Marquardt method. - Steele A. Russell; Anthony S. Maida (J. Comput. Sci. Coll., 2009)

Effects of memory size on melody recognition in a simulation of cohort theory. - Naresh N. Vempala; Anthony S. Maida (Cogn. Syst. Res., 2011)

Natural Image Bases to Represent Neuroimaging Data. - Ashish Gupta; Murat Ayhan; Anthony Maida (ICML (3), 2013)

GPU facilitated unsupervised visual feature acquisition in spiking neural networks. - Blake Lemoine; Anthony S. Maida (IJCNN, 2013)

Toward a causal topic model for video scene analysis. - John P. McCaffery; Anthony S. Maida (IJCNN, 2013)

Studying the interaction of a hidden Markov model with a Bayesian spiking neural network. - Amirhossein Tavanaei; Anthony S. Maida (MLSP, 2015)

Towards recognition of protein function based on its structure using deep convolutional networks. - Amirhossein Tavanaei; Anthony S. Maida; Arun Kaniymattam; Rasiah Loganantharaj (BIBM, 2016)

Exact Particle Filter Modularization Improves Runtime Performance. - Padraic D. Edgington; Anthony S. Maida (ECAI, 2016)

Acquisition of visual features through probabilistic spike-timing-dependent plasticity. - Amirhossein Tavanaei; Timothée Masquelier; Anthony S. Maida (IJCNN, 2016)

Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning. - Amirhossein Tavanaei; Anthony S. Maida (CoRR, 2016)

A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure. - Amirhossein Tavanaei; Nishanth Anandanadarajah; Anthony S. Maida; Rasiah Loganantharaj (BIBM, 2017)

Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. - Amirhossein Tavanaei; Anthony S. Maida (ICONIP (6), 2017)

Multi-layer unsupervised learning in a spiking convolutional neural network. - Amirhossein Tavanaei; Anthony S. Maida (IJCNN, 2017)

A spiking network that learns to extract spike signatures from speech signals. - Amirhossein Tavanaei; Anthony S. Maida (Neurocomputing, 2017)

Learning Simplified Decision Boundaries from Trapezoidal Data Streams. - Ege Beyazit; Matin Hosseini; Anthony Maida; Xindong Wu 001 (ICANN (1), 2018)

Empirical Activation Function Effects on Unsupervised Convolutional LSTM Learning. - Nelly Elsayed; Anthony S. Maida; Magdy A. Bayoumi (ICTAI, 2018)

Deep Quaternion Networks. - Chase J. Gaudet; Anthony S. Maida (IJCNN, 2018)

Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. - Amirhossein Tavanaei; Raju Gottumukkala; Anthony S. Maida; Vijay V. Raghavan 001 (IJCNN, 2018)

Training Spiking ConvNets by STDP and Gradient Descent. - Amirhossein Tavanaei; Zachary Kirby; Anthony S. Maida (IJCNN, 2018)

Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction. - Nelly Elsayed; Anthony S. Maida; Magdy A. Bayoumi (CoRR, 2018)

Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification. - Nelly Elsayed; Anthony S. Maida; Magdy A. Bayoumi (CoRR, 2018)

Representation learning using event-based STDP. - Amirhossein Tavanaei; Timothée Masquelier; Anthony S. Maida (Neural Networks, 2018)

Training a Hidden Markov Model with a Bayesian Spiking Neural Network. - Amirhossein Tavanaei; Anthony S. Maida (J. Signal Process. Syst., 2018)

An Analysis of Univariate and Multivariate Electrocardiography Signal Classification. - Nelly Elsayed; Anthony S. Maida; Magdy A. Bayoumi (ICMLA, 2019)

Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding. - Nelly Elsayed; Anthony S. Maida; Magdy A. Bayoumi (IJCNN, 2019)

Gated Recurrent Neural Networks Empirical Utilization for Time Series Classification. - Nelly Elsayed; Anthony S. Maida; Magdy A. Bayoumi (iThings/GreenCom/CPSCom/SmartData, 2019)

A Novel Data-Driven Model for Real-Time Influenza Forecasting. - Siva R. Venna; Amirhossein Tavanaei; Raju N. Gottumukkala; Vijay V. Raghavan 001; Anthony S. Maida; Stephen Nichols (IEEE Access, 2019)

Inception-inspired LSTM for Next-frame Video Prediction. - Matin Hosseini; Anthony S. Maida; Majid Hosseini; Raju N. Gottumukkala (CoRR, 2019)

BP-STDP: Approximating backpropagation using spike timing dependent plasticity. - Amirhossein Tavanaei; Anthony Maida (Neurocomputing, 2019)

Deep learning in spiking neural networks. - Amirhossein Tavanaei; Masoud Ghodrati; Saeed Reza Kheradpisheh; Timothée Masquelier; Anthony Maida (Neural Networks, 2019)

Inception LSTM for Next-frame Video Prediction (Student Abstract). - Matin Hosseini; Anthony S. Maida; Majid Hosseini; Raju Gottumukkala (AAAI, 2020)

Reduced-gate convolutional long short-term memory using predictive coding for spatiotemporal prediction. - Nelly Elsayed; Anthony S. Maida; Magdy A. Bayoumi (Comput. Intell., 2020)

Hierarchical Predictive Coding Models in a Deep-Learning Framework. - Matin Hosseini; Anthony S. Maida (CoRR, 2020)

Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions. - Chase J. Gaudet; Anthony S. Maida (CoRR, 2020)

Attention Augmented CNNs for Musical Instrument Identification. - Andrew Wise; Anthony S. Maida; Ashok Kumar (EUSIPCO, 2021)

Removing Dimensional Restrictions On Complex/Hyper-Complex Neural Networks. - Chase J. Gaudet; Anthony S. Maida (ICIP, 2021)

Adding Quaternion Representations to Attention Networks for Classification. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2021)

Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction. - Md Fazle Rabby; Yazhou Tu; Md. Imran Hossen; Insup Lee 001; Anthony S. Maida; Xiali Hei 001 (BMC Medical Informatics Decis. Mak., 2021)

LiteLSTM Architecture for Deep Recurrent Neural Networks. - Nelly Elsayed; Zag ElSayed; Anthony S. Maida (ISCAS, 2022)

Vision-Based American Sign Language Classification Approach via Deep Learning. - Nelly Elsayed; Zag ElSayed; Anthony S. Maida (CoRR, 2022)

Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks. - Anthony Triche; Anthony S. Maida; Ashok Kumar (Neural Networks, 2022)

Deep Separable Hypercomplex Networks. - Nazmul Shahadat; Anthony S. Maida (FLAIRS, 2023)

Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2023)

Deep Axial Hypercomplex Networks. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2023)

Deep Residual Axial Networks. - Nazmul Shahadat; Anthony S. Maida (CoRR, 2023)

LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks. - Nelly Elsayed; Zag ElSayed; Anthony S. Maida (CoRR, 2023)

Multimodal Stress Detection Using Facial Landmarks and Biometric Signals. - Majid Hosseini; Morteza Bodaghi; Ravi Teja Bhupatiraju; Anthony Maida; Raju Gottumukkala (CoRR, 2023)

Inception Recurrent Neural Network Architecture for Video Frame Prediction. - Matin Hosseini; Anthony Maida; Seyedmajid Hosseini; Raju Gottumukkala (SN Comput. Sci., 2023)

Improving Axial-Attention Network via Cross-Channel Weight Sharing. - Nazmul Shahadat; Anthony S. Maida (FLAIRS, 2024)

Deep Residual 1-Dimensional Convolutional Neural Networks in Vision. - Nazmul Shahadat; Anthony S. Maida (ICPR (22), 2024)

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems. - Ali Mohammadjafari; Anthony S. Maida; Raju Gottumukkala (CoRR, 2024)

Cross channel weight sharing for image classification. - Nazmul Shahadat; Anthony S. Maida (Image Vis. Comput., 2024)

A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric. - Sai Venkatesh Chilukoti; Liqun Shan; Vijay Srinivas Tida; Anthony S. Maida; Xiali Hei 001 (BMC Medical Informatics Decis. Mak., 2024)

HyperEncoding: Spiking Neural Networks with Hyperdimensional Encoding for Robust Edge Intelligence. - Alaaddin Goktug Ayar; Anthony Maida; Martin Margala (ACM Great Lakes Symposium on VLSI, 2025)