Get started
Author

Ansuman Kumar

Observed names: A Kumar, Kumar, Ansuman
Observed institution: North Eastern Hill University
ORCID: 0000-0002-0313-7294
Observed ORCID: 0000-0002-0313-7294
OpenAlex ID: A5109419425
Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data
2019 · Anindya Halder, Ansuman Kumar · Journal of Biomedical Informatics · 39
PDF
Ensemble-based active learning using fuzzy-rough approach for cancer sample classification
2020 · Ansuman Kumar, Anindya Halder · Engineering Applications of Artificial Intelligence · 23
Active Learning Using Fuzzy-Rough Nearest Neighbor Classifier for Cancer Prediction from Microarray Gene Expression Data
2019 · Ansuman Kumar, Anindya Halder · International Journal of Pattern Recognition and Artificial Intelligence · 16
Active Learning Using Fuzzy k-NN for Cancer Classification from Microarray Gene Expression Data
2015 · Anindya Halder, Samrat Dey, et al. · Lecture notes in electrical engineering · 11
To study the effect of the sequence of seven pranayama by Swami Ramdev on gene expression in leukaemia patients and rapid interpretation of gene expression
2009 · A Kumar, A Balkrishna · Journal of Clinical Pathology · 11
Semi-supervised fuzzy-rough extreme learning machine for classification of cancer from microRNA
2024 · Ansuman Kumar, Dikme Chisil B. Marak, et al. · International Journal of Machine Learning and Cybernetics · 8
Greedy fuzzy vaguely quantified rough approach for cancer relevant gene selection from gene expression data
2022 · Ansuman Kumar, Anindya Halder · Soft Computing · 7
Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data
2021 · Dikme Chisil B. Marak, Anindya Halder, et al. · New Generation Computing · 7
Hybrid Deep Learning for Citrus Disease Detection
2025 · Kumar Deep Barman, Ansuman Kumar, et al. · Advances in environmental engineering and green technologies book series · 5
Review Rating Predictions Using Improved Deep Learning Architecture
2024 · Kumar Deep Barman, Bhaskar Bordoloi, et al. · International Conference on Computational Intelligence and Communication Networks (CICN) · 5
Exploring Amino Acid Indices for the Classification of Parkinson's Proteins with the aid of Deep Learning
2024 · Bornali Baruah, Anindya Halder, et al. · International Conference on Computer, Communication, Control and Information Technology · 5
Survivability Prediction from Multiomics Cancerous Data with 1DCNN-LSTM-Attention Mechanism
2024 · Ambika Hazarika, Ansuman Kumar, et al. · International Conference on Computer, Communication, Control and Information Technology · 4
AHDSN: an attention-enabled hybrid deep sequential network for cancer survivability prediction from multi-omics data
2025 · Ambika Hazarika, Ansuman Kumar, et al. · Mammalian Genome · 2
PPHN: Deep Sequential Learning Architecture for Parkinson’s Disease Prediction using Amino Acid Descriptors from Protein Sequences
2025 · Bornali Baruah, Ansuman Kumar, et al. · Cognitive Computation · 2
Protein sequence-based classification of Alzheimer’s disease using deep learning and attention mechanism
2025 · Bornali Baruah, Anindya Halder, et al. · Iran Journal of Computer Science · 2
Emotion Detection Using Hybrid Deep Sequential Learning Architecture from EEG Signals
2024 · Albania Suting, Darina Thangkhiew, et al. · International Conference on Computational Intelligence and Communication Networks (CICN) · 2
A Hybrid Deep Learning Framework for Detecting Harmful Language in Social Media Texts
2025 · Kumar Deep Barman, Ansuman Kumar, et al. · International Conference on Computational Intelligence and Communication Networks (CICN) · 1
RateNet: a deep neural framework for inferring ratings from textual features
2025 · Kumar Deep Barman, Anindya Halder, et al. · Knowledge and Information Systems · 1
Ensemble based Fuzzy-Rough Nearest Neighbor Approach for Classification of Cancer from Microarray data
2019 · Ansuman Kumar, Anindya Halder · International Journal of Research in Advent Technology · 1
PDF
Semi-supervised Fuzzy Vaguely Quantified Rough Nearest Neighbour Classifier for Cancer Sample Classification from Gene Expression Data
2018 · Ansuman Kumar, Anindya Halder · Journal of Computer and Mathematical Sciences · 1
Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson’s disease prediction from multi-omics
2026 · Ambika Hazarika, Ansuman Kumar, et al. · Mammalian Genome
Cancer Subtype Detection from Multi-Omics Data Using LSTM-Attention Mechanism
2025 · Ambika Hazarika, Ansuman Kumar, et al. · International Conference on Computational Intelligence and Communication Networks (CICN)
PD-Protein-CapsNet: Capsule Network-Based Deep Learning Framework Using Amino Acid Indices for Parkinson's Protein Classification
2025 · Bornali Baruah, Ansuman Kumar, et al. · International Conference on Computational Intelligence and Communication Networks (CICN)
ESDNet: Epilepsy Seizure Detection Using a Novel Hybrid Deep Sequential Network from EEG Signals
2025 · Albania Suting, Ansuman Kumar, et al. · International Conference on Data, Energy and Communication Networks (DECoN)
Cancer Classification from Gene Expression data using Fuzzy-Rough techniques: An Empirical Study
2025 · Halder, Anindya, Kumar, Ansuman · International Journal of Computer Sciences and Engineering
PDF
Works count: 28
Citation count: 153
H-index: 7
I10-index: 5
Year
Topic
Type