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Accurate Prediction of [sup.1]H NMR Chemical Shifts of Small Molecules Using Machine Learning

Metabolites, 2024-05, Vol.14 (5)

2024

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Active Learning via Predictive Normalized Maximum Likelihood Minimization

IEEE transactions on information theory, 2024-05, p.1-1

2024

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IEEE_Xplore

Beyond active learning: Using 3-Dimensional learning to create scientifically authentic, student-centered classrooms

PloS one, 2024-05, Vol.19 (5), p.e0295887-e0295887

2024

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Triplet Adaptation Framework for Robust Semi-Supervised Learning

IEEE transactions on pattern analysis and machine intelligence, 2024-05, Vol.PP, p.1-18

2024

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IEEE_Xplore

E-learning readiness among dental students and faculty: a comparative study before and after the COVID-19 pandemic

Frontiers in medicine, 2024-05, Vol.11

2024

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Anomaly Detection in IIoT Transactions using Machine Learning: A Lightweight Blockchain-based Approach

Engineering, technology & applied science research, 2024-06, Vol.14 (3)

2024

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Semi-supervised Domain Adaptation via Joint Transductive and Inductive Subspace Learning

IEEE transactions on multimedia, 2024-05, p.1-15

2024

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IEEE_Xplore

A model for skin cancer using combination of ensemble learning and deep learning

PloS one, 2024-05, Vol.19 (5), p.e0301275-e0301275

2024

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Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications

IEEE transactions on wireless communications, 2024-05, p.1-1

2024

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IEEE_Xplore

Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework

Scientific reports, 2024-05, Vol.14 (1), p.12543-12543

2024

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Curious Feature Selection-Based Clustering

IEEE transactions on artificial intelligence, 2024-05, p.1-13

2024

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IEEE_Xplore

PointADAM: Unsupervised Adversarial Domain Adaptation on Point Clouds with Metric Learning via Compact Feature Representation

IEEE access, 2024-05, p.1-1

2024

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A Review of State of the Art Deep Learning Models for Ontology Construction

IEEE access, 2024-05, p.1-1

2024

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Video Visualization Profile Analysis in Online Courses

IEEE transactions on education, 2024-05, p.1-0

2024

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Learning from 360-degree videos on a VR headset compared to 2D videos on a monitor

Cogent education, 2024-12, Vol.11 (1)

2024

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Advanced Computing, Machine Learning, Robotics and Internet Technologies Part I: First International Conference, AMRIT 2023, Silchar, India, March 10-11, 2023, Revised Selected Papers

2024

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Advanced Computing, Machine Learning, Robotics and Internet Technologies Part II: First International Conference, AMRIT 2023, Silchar, India, March 10-11, 2023, Revised Selected Papers

2024

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Fast Online Learning of Vulnerabilities for Networks With Propagating Failures

IEEE/ACM transactions on networking, 2024-05, p.1-15

2024

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IEEE_Xplore

Deep Reinforcement Learning for Autonomous Driving based on Safety Experience Replay

IEEE transactions on cognitive and developmental systems, 2024-05, p.1-15

2024

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IEEE_Xplore

Inferring temperature fields from concentration fields in channel flows using conditional generative adversarial networks

Journal of applied physics, 2024-06, Vol.135 (21)

2024

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Disentangled Generation with Information Bottleneck for Enhanced Few-Shot Learning

IEEE transactions on image processing, 2024-05, Vol.PP, p.1-1

2024

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IEEE_Xplore

Semi-supervised active learning using convolutional auto- encoder and contrastive learning

Frontiers in artificial intelligence, 2024-05, Vol.7

2024

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Neural representations of statistical and rule-based predictions in Gilles de la Tourette syndrome

Human brain mapping, 2024-06, Vol.45 (8), p.e26719-e26719

2024

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FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

IEEE transactions on circuits and systems for video technology, 2024-05, p.1-1

2024

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IEEE_Xplore

On-device query intent prediction with lightweight LLMs to support ubiquitous conversations

Scientific reports, 2024-06, Vol.14 (1), p.12731-12731

2024

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Accurate Prediction of [sup.1]H NMR Chemical Shifts of Small Molecules Using Machine Learning

Active Learning via Predictive Normalized Maximum Likelihood Minimization

Beyond active learning: Using 3-Dimensional learning to create scientifically authentic, student-centered classrooms

Triplet Adaptation Framework for Robust Semi-Supervised Learning

E-learning readiness among dental students and faculty: a comparative study before and after the COVID-19 pandemic

Anomaly Detection in IIoT Transactions using Machine Learning: A Lightweight Blockchain-based Approach

Semi-supervised Domain Adaptation via Joint Transductive and Inductive Subspace Learning

A model for skin cancer using combination of ensemble learning and deep learning

Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications

Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework

Curious Feature Selection-Based Clustering

PointADAM: Unsupervised Adversarial Domain Adaptation on Point Clouds with Metric Learning via Compact Feature Representation

A Review of State of the Art Deep Learning Models for Ontology Construction

Video Visualization Profile Analysis in Online Courses

Learning from 360-degree videos on a VR headset compared to 2D videos on a monitor

Advanced Computing, Machine Learning, Robotics and Internet Technologies Part I: First International Conference, AMRIT 2023, Silchar, India, March 10-11, 2023, Revised Selected Papers

Advanced Computing, Machine Learning, Robotics and Internet Technologies Part II: First International Conference, AMRIT 2023, Silchar, India, March 10-11, 2023, Revised Selected Papers

Fast Online Learning of Vulnerabilities for Networks With Propagating Failures

Deep Reinforcement Learning for Autonomous Driving based on Safety Experience Replay

Inferring temperature fields from concentration fields in channel flows using conditional generative adversarial networks

Disentangled Generation with Information Bottleneck for Enhanced Few-Shot Learning

Semi-supervised active learning using convolutional auto- encoder and contrastive learning

Neural representations of statistical and rule-based predictions in Gilles de la Tourette syndrome

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

On-device query intent prediction with lightweight LLMs to support ubiquitous conversations

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