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An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transaction on neural networks and learning systems, 2022-06, Vol.33 (6), p.2508-2517

2022

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Towards Human Brain Inspired Lifelong Learning

1, 2024

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Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

npj computational materials, 2019-05, Vol.5 (1), Article 60

2019

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Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Unsupervised Generative Variational Continual Learning

2022 IEEE International Conference on Image Processing (ICIP), 2022, p.4028-4032

2022

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A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation

Applied soft computing, 2024-08, Vol.161, p.111747, Article 111747

2024

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Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem

Expert systems with applications, 2021-09, Vol.178, p.114985, Article 114985

2021

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Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation

Applied soft computing, 2020-07, Vol.92, p.106278, Article 106278

2020

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Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024, p.757-762

2024

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Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier

IEEE transactions on cybernetics, 2024-01, Vol.54 (1), p.3-12

2024

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A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System

IEEE transaction on neural networks and learning systems, 2014-09, Vol.25 (9), p.1659-1672

2014

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Cross-domain continual learning via CLAMP

Information sciences, 2024-08, Vol.676, p.120813, Article 120813

2024

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Microclimate spatio-temporal prediction using deep learning and land use data

Building and environment, 2024-04, Vol.253, p.111358, Article 111358

2024

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Improving transparency and representational generalizability through parallel continual learning

Neural networks, 2023-04, Vol.161, p.449-465

2023

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A study on the transferability of computational models of building electricity load patterns across climatic zones

Energy and buildings, 2021-04, Vol.237, p.110826, Article 110826

2021

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Implications and Predictors of Variability of Disease Progression in Amyotrophic Lateral Sclerosis (ALS) (P1-1.Virtual)

Neurology, 2022-05, Vol.98 (18_supplement)

2022

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Predicting Fast Progressors in Amyotrophic Lateral Sclerosis (ALS): A Machine Learning Approach (P1-1.Virtual)

Neurology, 2022-05, Vol.98 (18_supplement)

2022

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Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-14

2024

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GATE: A guided approach for time series ensemble forecasting

Expert systems with applications, 2024-01, Vol.235, p.121177, Article 121177

2024

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Self-supervised ensembled learning for autism spectrum classification

Research in autism spectrum disorders, 2023-09, Vol.107, p.102223, Article 102223

2023

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A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN

IEEE transaction on neural networks and learning systems, 2011-07, Vol.22 (7), p.1061-1072

2011

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Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Joule, 2019-06, Vol.3 (6), p.1437-1451

2019

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Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network

IEEE transaction on neural networks and learning systems, 2013-04, Vol.24 (4), p.529-541

2013

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HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.3115-3119

2021

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Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Towards Human Brain Inspired Lifelong Learning

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation

Unsupervised Generative Variational Continual Learning

A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation

Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem

Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation

Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing

Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier

A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System

Cross-domain continual learning via CLAMP

Microclimate spatio-temporal prediction using deep learning and land use data

Improving transparency and representational generalizability through parallel continual learning

A study on the transferability of computational models of building electricity load patterns across climatic zones

Implications and Predictors of Variability of Disease Progression in Amyotrophic Lateral Sclerosis (ALS) (P1-1.Virtual)

Predicting Fast Progressors in Amyotrophic Lateral Sclerosis (ALS): A Machine Learning Approach (P1-1.Virtual)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification

GATE: A guided approach for time series ensemble forecasting

Self-supervised ensembled learning for autism spectrum classification

A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network

HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning

Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples

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