Anthony S. Maida

89 papers A* 4A 1B 17C 4Misc 4Journal 50Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Physics-Guided Fusion for Robust 3D Tracking of Fast Moving Small Objects. CoRR Prithvi Raj Singh, Raju Gottumukkala, Anthony S. Maida, Alan Barhorst, Vijaya Gopu
2024	J	`jnl`	A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric. BMC Medical Informatics Decis. Mak. Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida, Xiali Hei
2024	J	`jnl`	Cross channel weight sharing for image classification. Image Vis. Comput. Nazmul Shahadat, Anthony S. Maida
2024	—	`conf`	Deep Residual 1-Dimensional Convolutional Neural Networks in Vision. ICPR (22) Nazmul Shahadat, Anthony S. Maida
2024	J	`jnl`	From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems. CoRR Ali Mohammadjafari, Anthony S. Maida, Raju Gottumukkala
2024	Misc	`conf`	Improving Axial-Attention Network via Cross-Channel Weight Sharing. FLAIRS Nazmul Shahadat, Anthony S. Maida
2023	J	`jnl`	Deep Axial Hypercomplex Networks. CoRR Nazmul Shahadat, Anthony S. Maida
2023	J	`jnl`	Deep Residual Axial Networks. CoRR Nazmul Shahadat, Anthony S. Maida
2023	Misc	`conf`	Deep Separable Hypercomplex Networks. FLAIRS Nazmul Shahadat, Anthony S. Maida
2023	J	`jnl`	Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication. CoRR Nazmul Shahadat, Anthony S. Maida
2023	J	`jnl`	LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks. CoRR Nelly Elsayed, Zag ElSayed, Anthony S. Maida
2022	J	`jnl`	Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks. Neural Networks Anthony Triche, Anthony S. Maida, Ashok Kumar
2022	C	`conf`	LiteLSTM Architecture for Deep Recurrent Neural Networks. ISCAS Nelly Elsayed, Zag ElSayed, Anthony S. Maida
2022	J	`jnl`	LiteLSTM Architecture for Deep Recurrent Neural Networks. CoRR Nelly Elsayed, Zag ElSayed, Anthony S. Maida
2022	J	`jnl`	Vision-Based American Sign Language Classification Approach via Deep Learning. CoRR Nelly Elsayed, Zag ElSayed, Anthony S. Maida
2021	J	`jnl`	Adding Quaternion Representations to Attention Networks for Classification. CoRR Nazmul Shahadat, Anthony S. Maida
2021	—	`conf`	Attention Augmented CNNs for Musical Instrument Identification. EUSIPCO Andrew Wise, Anthony S. Maida, Ashok Kumar
2021	B	`conf`	Removing Dimensional Restrictions On Complex/Hyper-Complex Neural Networks. ICIP Chase J. Gaudet, Anthony S. Maida
2021	J	`jnl`	Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction. CoRR Md Fazle Rabby, Yazhou Tu, Md. Imran Hossen, Insup Lee, Anthony S. Maida, Xiali Hei
2021	J	`jnl`	Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction. BMC Medical Informatics Decis. Mak. Md Fazle Rabby, Yazhou Tu, Md. Imran Hossen, Insup Lee, Anthony S. Maida, Xiali Hei
2020	J	`jnl`	Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions. CoRR Chase J. Gaudet, Anthony S. Maida
2020	J	`jnl`	Hierarchical Predictive Coding Models in a Deep-Learning Framework. CoRR Matin Hosseini, Anthony S. Maida
2020	A*	`conf`	Inception LSTM for Next-frame Video Prediction (Student Abstract). AAAI Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju Gottumukkala
2020	J	`jnl`	Reduced-gate convolutional long short-term memory using predictive coding for spatiotemporal prediction. Comput. Intell. Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
2019	J	`jnl`	A Novel Data-Driven Model for Real-Time Influenza Forecasting. IEEE Access Siva R. Venna, Amirhossein Tavanaei, Raju N. Gottumukkala, Vijay V. Raghavan, Anthony S. Maida, Stephen Nichols
2019	C	`conf`	An Analysis of Univariate and Multivariate Electrocardiography Signal Classification. ICMLA Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
2019	—	`conf`	Gated Recurrent Neural Networks Empirical Utilization for Time Series Classification. iThings/GreenCom/CPSCom/SmartData Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
2019	J	`jnl`	Inception-inspired LSTM for Next-frame Video Prediction. CoRR Matin Hosseini, Anthony S. Maida, Majid Hosseini, Raju N. Gottumukkala
2019	B	`conf`	Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding. IJCNN Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
2018	J	`jnl`	Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification. CoRR Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
2018	J	`jnl`	Deep Learning in Spiking Neural Networks. CoRR Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony S. Maida
2018	B	`conf`	Deep Quaternion Networks. IJCNN Chase J. Gaudet, Anthony S. Maida
2018	B	`conf`	Empirical Activation Function Effects on Unsupervised Convolutional LSTM Learning. ICTAI Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
2018	J	`jnl`	Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction. CoRR Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi
2018	J	`jnl`	Representation learning using event-based STDP. Neural Networks Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2018	B	`conf`	Training Spiking ConvNets by STDP and Gradient Descent. IJCNN Amirhossein Tavanaei, Zachary Kirby, Anthony S. Maida
2018	J	`jnl`	Training a Hidden Markov Model with a Bayesian Spiking Neural Network. J. Signal Process. Syst. Amirhossein Tavanaei, Anthony S. Maida
2018	B	`conf`	Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. IJCNN Amirhossein Tavanaei, Raju Gottumukkala, Anthony S. Maida, Vijay V. Raghavan
2017	—	`conf`	A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure. BIBM Amirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj
2017	J	`jnl`	A spiking network that learns to extract spike signatures from speech signals. Neurocomputing Amirhossein Tavanaei, Anthony S. Maida
2017	J	`jnl`	BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity. CoRR Amirhossein Tavanaei, Anthony S. Maida
2017	J	`jnl`	Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. CoRR Amirhossein Tavanaei, Anthony S. Maida
2017	—	`conf`	Bio-inspired Multi-layer Spiking Neural Network Extracts Discriminative Features from Speech Signals. ICONIP (6) Amirhossein Tavanaei, Anthony S. Maida
2017	J	`jnl`	Deep Quaternion Networks. CoRR Chase J. Gaudet, Anthony S. Maida
2017	B	`conf`	Multi-layer unsupervised learning in a spiking convolutional neural network. IJCNN Amirhossein Tavanaei, Anthony S. Maida
2017	J	`jnl`	Representation Learning using Event-based STDP. CoRR Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2016	J	`jnl`	A Spiking Network that Learns to Extract Spike Signatures from Speech Signals. CoRR Amirhossein Tavanaei, Anthony S. Maida
2016	J	`jnl`	Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity. CoRR Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2016	B	`conf`	Acquisition of visual features through probabilistic spike-timing-dependent plasticity. IJCNN Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2016	J	`jnl`	Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning. CoRR Amirhossein Tavanaei, Anthony S. Maida
2016	A	`conf`	Exact Particle Filter Modularization Improves Runtime Performance. ECAI Padraic D. Edgington, Anthony S. Maida
2016	—	`conf`	Towards recognition of protein function based on its structure using deep convolutional networks. BIBM Amirhossein Tavanaei, Anthony S. Maida, Arun Kaniymattam, Rasiah Loganantharaj
2016	J	`jnl`	Training a Hidden Markov Model with a Bayesian Spiking Neural Network. CoRR Amirhossein Tavanaei, Anthony S. Maida
2015	—	`conf`	Studying the interaction of a hidden Markov model with a Bayesian spiking neural network. MLSP Amirhossein Tavanaei, Anthony S. Maida
2013	B	`conf`	GPU facilitated unsupervised visual feature acquisition in spiking neural networks. IJCNN Blake Lemoine, Anthony S. Maida
2013	B	`conf`	Toward a causal topic model for video scene analysis. IJCNN John P. McCaffery, Anthony S. Maida
2011	J	`jnl`	Effects of memory size on melody recognition in a simulation of cohort theory. Cogn. Syst. Res. Naresh N. Vempala, Anthony S. Maida
2009	B	`conf`	Modeling melody recognition using a sequence recognition neural network with meta-level processes. IJCNN Naresh N. Vempala, Anthony S. Maida
2009	B	`conf`	Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method. IJCNN Steele A. Russell, Anthony S. Maida
2009	J	`jnl`	Performance of generalized multilayered perceptons trained using the Levenberg-Marquardt method. J. Comput. Sci. Coll. Steele A. Russell, Anthony S. Maida
2009	B	`conf`	Sequential hierarchical recruitment learning in a network of spiking neurons. IJCNN Derek James, Anthony S. Maida
2009	B	`conf`	Using parallel GPU architecture for simulation of planar I/F networks. IJCNN Jan-Phillip Tiesel, Anthony S. Maida
2007	J	`jnl`	Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia. Cogn. Syst. Res. Ahmed A. Moustafa, Anthony S. Maida
2006	J	`jnl`	A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. Biol. Cybern. Cengiz Günay, Anthony S. Maida
2006	J	`jnl`	Synaptic noise as a means of implementing weight-perturbation learning. Connect. Sci. Benjamin A. Rowland, Anthony S. Maida, Istvan S. N. Berkeley
2006	J	`jnl`	Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines. Neurocomputing Cengiz Günay, Anthony S. Maida
2004	Misc	`conf`	Spatiotemporal Novelty Detection Using Resonance Networks. FLAIRS Benjamin A. Rowland, Anthony S. Maida
2003	J	`jnl`	Temporal binding as an inducer for connectionist recruitment learning over delayed lines. Neural Networks Cengiz Günay, Anthony S. Maida
2003	B	`conf`	Using temporal binding for connectionist recruitment learning over delayed lines. IJCNN Cengiz Günay, Anthony S. Maida
2001	Misc	`conf`	Synchronized Firing in a Time-Delayed Neural Network. FLAIRS Anthony S. Maida, Benjamin A. Rowland, Cengiz Günay
2000	B	`conf`	Identifying causal structure in a biological neural network. ICTAI Anthony S. Maida
1999	B	`conf`	Neural maps for mobile robot navigation. IJCNN Michail G. Lagoudakis, Anthony S. Maida
1999	—	`conf`	Robot Navigation with a Polar Neural Map. AAAI/IAAI Michail G. Lagoudakis, Anthony S. Maida
1997	J	`jnl`	Description-based communication for autonomous agents under ideal conditions. J. Exp. Theor. Artif. Intell. Anthony S. Maida, Shaohua Tang
1995	J	`jnl`	Book reviews. Minds Mach. 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
1993	J	`jnl`	Propositionally representing incomplete knowledge about existence. J. Exp. Theor. Artif. Intell. Anthony S. Maida
1993	J	`jnl`	Reliability Measure Theory: A Nonmonotonic Semantics. IEEE Trans. Knowl. Data Eng. Minkoo Kim, Anthony S. Maida
1992	A*	`conf`	Knowledge Representation Requirements for Description-Based Communication. KR Anthony S. Maida
1991	J	`jnl`	A syntactic approach to introspection and reasoning about the beliefs of other agents. Fundam. Informaticae Anthony S. Maida, Jacques Wainer, Sehyeong Cho
1991	J	`jnl`	Maintaining Mental Models of Agents who have Existential Misconceptions. Artif. Intell. Anthony S. Maida
1989	J	`jnl`	Organizing and integrating edge segments for texture discrimination. J. Exp. Theor. Artif. Intell. Kenzo Iwama, Anthony S. Maida
1987	C	`conf`	A Uniform Architecture for Rule-based Meta Reasoning and Representation. ISMIS Anthony S. Maida
1987	C	`conf`	Frame and Inheritance Systems. ISMIS Minkoo Kim, Anthony S. Maida
1987	—	`conf`	Frame systems and inheritance systems. FJCC Minkoo Kim, Anthony S. Maida
1985	J	`jnl`	Selecting a Humanly Understandable Knowledge Representation for Reasoning About Knowledge. Int. J. Man Mach. Stud. Anthony S. Maida
1984	A*	`conf`	Processing Entailments and Accessing Facts in a Uniform Frame System. AAAI Anthony S. Maida
1983	A*	`conf`	Knowing Intensional Individuals, and Reasoning About Knowing Intensional Individuals. IJCAI Anthony S. Maida
1983	J	`jnl`	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. Anthony S. Maida
1982	J	`jnl`	Intensional Concepts in Propositional Semantic Networks. Cogn. Sci. Anthony S. Maida, Stuart C. Shapiro