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Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students' Reviews of MOOCs

IEEE access, 2020, Vol.8, p.106799-106810

2020

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Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study

Applied sciences, 2021, Vol.11 (9), p.3986

2021

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Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets

IEEE access, 2020-01, Vol.8, p.181074-181090

2020

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The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review

Computers in biology and medicine, 2023-11, Vol.166, p.107555, Article 107555

2023

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A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images

IEEE access, 2021, Vol.9, p.10657-10673

2021

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Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset

Computers in biology and medicine, 2024-10, Vol.181, p.109044, Article 109044

2024

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Knee Osteoarthritis Analysis Using Deep Learning and XAI on X-Rays

IEEE access, 2024, Vol.12, p.68870-68879

2024

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SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning

PloS one, 2023-08, Vol.18 (8), p.e0290779-e0290779

2023

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Depression Screening in Humans With AI and Deep Learning Techniques

IEEE transactions on computational social systems, 2023-08, Vol.10 (4), p.2074-2089

2023

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Metadata augmented deep neural networks for wild animal classification

Ecological informatics, 2024-11, Vol.83, p.102805, Article 102805

2024

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Anomaly Based Camera Prioritization in Large Scale Surveillance Networks

Computers, materials & continua, 2022, Vol.70 (2), p.2171-2190

2022

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The impact of synthetic text generation for sentiment analysis using GAN based models

Egyptian informatics journal, 2022-09, Vol.23 (3), p.547-557

2022

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Leveraging distant supervision and deep learning for twitter sentiment and emotion classification

Journal of intelligent information systems, 2024-08, Vol.62 (4), p.1045-1070

2024

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Bloom's Learning Outcomes' Automatic Classification Using LSTM and Pretrained Word Embeddings

IEEE access, 2021, Vol.9, p.117887-117909

2021

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A Systematic Mapping Review on MOOC Recommender Systems

IEEE access, 2021, Vol.9, p.118379-118405

2021

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A Systematic Literature Review on Text Generation Using Deep Neural Network Models

IEEE access, 2022, Vol.10, p.53490-53503

2022

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Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models

Applied sciences, 2021-11, Vol.11 (22), p.10593

2021

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A Comparative Study of Deep Learning Techniques on Frame-Level Speech Data Classification

Circuits, systems, and signal processing, 2019-08, Vol.38 (8), p.3501-3520

2019

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Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu

Applied sciences, 2022-04, Vol.12 (7), p.3641

2022

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Drug Adverse Event Detection Using Text-Based Convolutional Neural Networks (TextCNN) Technique

Electronics (Basel), 2022-10, Vol.11 (20), p.3336

2022

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Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition

IEEE access, 2024, Vol.12, p.141890-141904

2024

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Integrating word embeddings and document topics with deep learning in a video classification framework

Pattern recognition letters, 2019-12, Vol.128, p.85-92

2019

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Performance analysis of machine learning classifiers on improved concept vector space models

Future generation computer systems, 2019-07, Vol.96, p.552-562

2019

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The impact of deep learning on document classification using semantically rich representations

Information processing & management, 2019-09, Vol.56 (5), p.1618-1632

2019

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Diving Deep into Bone Anomalies on the FracAtlas Dataset Using Deep Learning and Explainable AI

2024 International Conference on Engineering & Computing Technologies (ICECT), 2024, p.1-6

2024

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Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students' Reviews of MOOCs

Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study

Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets

The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review

A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images

Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset

Knee Osteoarthritis Analysis Using Deep Learning and XAI on X-Rays

SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning

Depression Screening in Humans With AI and Deep Learning Techniques

Metadata augmented deep neural networks for wild animal classification

Anomaly Based Camera Prioritization in Large Scale Surveillance Networks

The impact of synthetic text generation for sentiment analysis using GAN based models

Leveraging distant supervision and deep learning for twitter sentiment and emotion classification

Bloom's Learning Outcomes' Automatic Classification Using LSTM and Pretrained Word Embeddings

A Systematic Mapping Review on MOOC Recommender Systems

A Systematic Literature Review on Text Generation Using Deep Neural Network Models

Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models

A Comparative Study of Deep Learning Techniques on Frame-Level Speech Data Classification

Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu

Drug Adverse Event Detection Using Text-Based Convolutional Neural Networks (TextCNN) Technique

Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition

Integrating word embeddings and document topics with deep learning in a video classification framework

Performance analysis of machine learning classifiers on improved concept vector space models

The impact of deep learning on document classification using semantically rich representations

Diving Deep into Bone Anomalies on the FracAtlas Dataset Using Deep Learning and Explainable AI

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