Improved Sparse Pinball Twin SVM. - Muhammad Tanveer 001; Taniya Rajani; M. A. Ganaie 001 (SMC, 2019)

Minimum Variance Embedded Random Vector Functional Link Network. - M. A. Ganaie 001; Muhammad Tanveer 001; Ponnuthurai N. Suganthan (ICONIP (5), 2020)

Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. - M. A. Ganaie 001; Muhammad Tanveer 001; Ponnuthurai N. Suganthan (IJCNN, 2020)

LSTSVM classifier with enhanced features from pre-trained functional link network. - M. A. Ganaie 001; Muhammad Tanveer 001 (Appl. Soft Comput., 2020)

Identification of Chimera using Machine Learning. - M. A. Ganaie 001; Saptarshi Ghosh 003; Naveen Mendola; Muhammad Tanveer 001; Sarika Jalan (CoRR, 2020)

Oblique Decision Tree Ensemble via Twin Bounded SVM. - M. A. Ganaie 001; Muhammad Tanveer 001; Ponnuthurai N. Suganthan (Expert Syst. Appl., 2020)

Co-Trained Random Vector Functional Link Network. - M. A. Ganaie 001; Muhammad Tanveer 001; Ponnuthurai N. Suganthan (IJCNN, 2021)

A Novel Ensemble Method of RVFL For Classification Problem. - Ashwani Kumar Malik; M. A. Ganaie 001; Muhammad Tanveer 001; Ponnuthurai N. Suganthan (IJCNN, 2021)

Fuzzy least squares projection twin support vector machines for class imbalance learning. - M. A. Ganaie 001; Muhammad Tanveer 001; Alzheimer's Disease Neuroimaging Initiative (Appl. Soft Comput., 2021)

Ensemble of classification models with weighted functional link network. - Mohammad Tanveer 001; M. A. Ganaie 001; Ponnuthurai N. Suganthan (Appl. Soft Comput., 2021)

Ensemble deep learning: A review. - Mudasir Ahmad Ganaie; Minghui Hu 001; Mohammad Tanveer 001; Ponnuthurai N. Suganthan (CoRR, 2021)

Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network. - Nehal Ahmad; Mudasir Ahmad Ganaie; Ashwani Kumar Malik; Kuan-Ting Lai; M. Tanveer 001 (ICONIP (1), 2022)

Intuitionistic Fuzzy Universum Support Vector Machine. - Anuradha Kumari; M. A. Ganaie 001; M. Tanveer 001 (ICONIP (1), 2022)

Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem. - Ashwani Kumar Malik; Mudasir Ahmad Ganaie; M. Tanveer 001; Ponnuthurai N. Suganthan (ICONIP (1), 2022)

Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. - M. A. Ganaie 001; Muhammad Tanveer 001; Ashwani Kumar Malik; Ponnuthurai N. Suganthan (IJCNN, 2022)

Graph embedded intuitionistic fuzzy weighted random vector functional link network. - Ashwani Kumar Malik; M. A. Ganaie 001; Muhammad Tanveer 001 (SSCI, 2022)

Ensemble deep learning: A review. - M. A. Ganaie 001; Minghui Hu 001; Ashwani Kumar Malik; Muhammad Tanveer 001; Ponnuthurai N. Suganthan (Eng. Appl. Artif. Intell., 2022)

KNN weighted reduced universum twin SVM for class imbalance learning. - M. A. Ganaie 001; Mohammad Tanveer 001; Alzheimer's Disease Neuroimaging Initiative (Knowl. Based Syst., 2022)

Large-scale pinball twin support vector machines. - Mohammad Tanveer 001; Aruna Tiwari; Rahul Choudhary; M. A. Ganaie 001 (Mach. Learn., 2022)

Oblique and rotation double random forest. - M. A. Ganaie 001; Muhammad Tanveer 001; Ponnuthurai N. Suganthan; Václav Snásel (Neural Networks, 2022)

Large-Scale Fuzzy Least Squares Twin SVMs for Class Imbalance Learning. - M. A. Ganaie 001; Muhammad Tanveer 001; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2022)

Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation. - Iman Beheshti; M. A. Ganaie 001; Vardhan Paliwal; Aryan Rastogi; Imran Razzak; Muhammad Tanveer 001 (IEEE J. Biomed. Health Informatics, 2022)

Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning. - Muhammad Tanveer 001; Ashraf Haroon Rashid; M. A. Ganaie 001; Motahar Reza; Imran Razzak; Kai-Lung Hua (IEEE J. Biomed. Health Informatics, 2022)

Heterogeneous Oblique Double Random Forest. - M. A. Ganaie 001; Muhammad Tanveer 001; Iman Beheshti; Nehal Ahmad; Ponnuthurai N. Suganthan (CoRR, 2023)

Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning. - M. A. Ganaie 001; M. Sajid; Ashwani Kumar Malik; M. Tanveer 001 (CoRR, 2023)

Ensemble deep learning in speech signal tasks: A review. - M. Tanveer 001; Aryan Rastogi; Vardhan Paliwal; M. A. Ganaie 001; Ashwani Kumar Malik; Javier Del Ser; Chin-Teng Lin (Neurocomputing, 2023)

Inverse free reduced universum twin support vector machine for imbalanced data classification. - Hossein Moosaei; M. A. Ganaie 001; Milan Hladík; Muhammad Tanveer 001 (Neural Networks, 2023)

Intuitionistic Fuzzy Weighted Least Squares Twin SVMs. - Mohammad Tanveer 001; M. A. Ganaie 001; A. Bhattacharjee; Chin-Teng Lin (IEEE Trans. Cybern., 2023)

Diagnosis of Schizophrenia: A Comprehensive Evaluation. - Muhammad Tanveer 001; Jatin Jangir; M. A. Ganaie 001; Iman Beheshti; M. Tabish; Nikunj Chhabra (IEEE J. Biomed. Health Informatics, 2023)

Brain Age Prediction With Improved Least Squares Twin SVR. - M. A. Ganaie 001; Muhammad Tanveer 001; Iman Beheshti (IEEE J. Biomed. Health Informatics, 2023)

Random vector functional link network: Recent developments, applications, and future directions. - Ashwani Kumar Malik; Ruobin Gao; M. A. Ganaie 001; M. Tanveer 001; Ponnuthurai Nagaratnam Suganthan (Appl. Soft Comput., 2023)

Deep learning for brain age estimation: A systematic review. - Muhammad Tanveer 001; M. A. Ganaie 001; Iman Beheshti; Tripti Goel; Nehal Ahmad; Kuan-Ting Lai; Kaizhu Huang; Yu-Dong Zhang 001; Javier Del Ser; Chin-Teng Lin (Inf. Fusion, 2023)

EEG signal classification via pinball universum twin support vector machine. - M. A. Ganaie 001; Muhammad Tanveer 001; Jatin Jangir (Ann. Oper. Res., 2023)

A Spectro-Statistical Approach for Emotion Identification from EEG Signals. - Lownish Rai Sookha; Gulshan Sharma; M. A. Ganaie 001; Abhinav Dhall (FG, 2024)

Granular Ball Twin Support Vector Machine with Universum Data. - M. A. Ganaie 001; Vrushank Ahire (CoRR, 2024)

Intuitionistic fuzzy generalized eigenvalue proximal support vector machine. - Abdul Quadir; M. A. Ganaie 001; M. Tanveer 001 (Neurocomputing, 2024)

EEG signal classification using improved intuitionistic fuzzy twin support vector machines. - M. A. Ganaie 001; Anuradha Kumari; Ashwani Kumar Malik; M. Tanveer 001 (Neural Comput. Appl., 2024)

Brain age prediction using improved twin SVR. - M. A. Ganaie 001; M. Tanveer 001; Iman Beheshti (Neural Comput. Appl., 2024)

Comprehensive review on twin support vector machines. - M. Tanveer 001; Taniya Rajani; Reshma Rastogi; Yuan-Hai Shao 001; M. A. Ganaie 001 (Ann. Oper. Res., 2024)

Extended Features Based Random Vector Functional Link Network for Classification Problem. - Ashwani Kumar Malik; M. A. Ganaie 001; M. Tanveer 001; Ponnuthurai N. Suganthan (IEEE Trans. Comput. Soc. Syst., 2024)

Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network. - Ashwani Kumar Malik; M. A. Ganaie 001; M. Tanveer 001; Ponnuthurai N. Suganthan (IEEE Trans. Comput. Soc. Syst., 2024)

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning. - M. A. Ganaie 001; M. Sajid; Ashwani Kumar Malik; M. Tanveer 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Diagnosis of Alzheimer's disease via Intuitionistic fuzzy least squares twin SVM. - M. A. Ganaie 001; Anuradha Kumari; Anouck Girard; Josephine Kasa-Vubu; M. Tanveer 001 (Appl. Soft Comput., 2024)

MAVEN: Multi-modal Attention for Valence-Arousal Emotion Network. - Vrushank Ahire; Kunal Shah; Mudasir Nazir Khan; Nikhil Pakhale; Lownish Rai Sookha; Mudasir Ahmad Ganaie; Abhinav Dhall (CVPR Workshops, 2025)

MIP-GAF: A MLLM-Annotated Benchmark for Most Important Person Localization and Group Context Understanding. - Surbhi Madan; Shreya Ghosh 001; Lownish Rai Sookha; M. A. Ganaie 001; Ramanathan Subramanian; Abhinav Dhall; Tom Gedeon (WACV, 2025)

Soft computing techniques in multi-criteria recommender systems: A comprehensive review. - Khalid Anwar; Mohammed Wasid; Aasim Zafar; M. A. Ganaie 001; Arshad Iqbal (Appl. Soft Comput., 2025)

Convolutional and ℓ21-norm neural network for bone age estimation. - M. A. Ganaie 001; Rohan Jha; Krish Agrawal; Rupal Shah; Anouck Girard; Josephine Kasa-Vubu; M. Tanveer 001 (Appl. Soft Comput., 2025)

Ensemble deep generalized eigen-value random vector functional link network for classification problems. - M. A. Ganaie 001; Yogesh Kumar; Anshika Bhatia; Chavda Jayrajsinh (Comput. Electr. Eng., 2025)

Granular Ball K-Class Twin Support Vector Classifier. - M. A. Ganaie 001; Vrushank Ahire; Anouck Girard (Pattern Recognit., 2025)