Cancer data investigation using variable precision Rough set with flexible classification. - Sanjiban Sekhar Roy; Anupam Gupta 003; Anvesha Sinha; Rohit Ramesh (CCSEIT, 2012)

Can computational biology improve the phylogenetic analysis of insulin? - Chiranjib Chakraborty; Sanjiban Sekhar Roy; Minna J. Hsu; Govindasamy Agoramoorthy (Comput. Methods Programs Biomed., 2012)

Rough set theory approach for filtering spams from boundary messages in a chat system. - Sanjiban Sekhar Roy; Saptarshi Charaborty; Swapnil Sourav; Ajith Abraham (ISDA, 2013)

Applicability of Rough Set Technique for Data Investigation and Optimization of Intrusion Detection System. - Sanjiban Sekhar Roy; V. Madhu Viswanatham; P. Venkata Krishna 001; N. Saraf; Anant Gupta; Rajesh Mishra (QSHINE, 2013)

Phishing Detection by determining reliability factor using rough set theory. - Anugrah Kumar; Sanjiban Sekhar Roy; Sarvesh S. S. Rawat; Sanklan Saxena (CoRR, 2013)

Improving circuit miniaturization and its efficiency using Rough Set Theory. - Sarvesh S. S. Rawat; Dheeraj Dilip Mor; Anugrah Kumar; Sanjiban Sekhar Roy; Rohit Kumar (CoRR, 2013)

Stock Market Forecasting Using LASSO Linear Regression Model. - Sanjiban Sekhar Roy; Dishant Mittal; Avik Basu; Ajith Abraham (AECIA, 2014)

Analyzing Intrusion Detection System: An ensemble based stacking approach. - Sanjiban Sekhar Roy; P. Venkata Krishna 001; Sumanth Yenduri (ISSPIT, 2014)

An effective hybridized classifier for breast cancer diagnosis. - Dishant Mittal; Dev Gaurav; Sanjiban Sekhar Roy (AIM, 2015)

Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK. - Sanjiban Sekhar Roy; Deeksha Kaul; Reetika Roy; Cornel Barna; Suhasini Mehta; Anusha Misra (SOFA (2), 2016)

Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree. - Sanjiban Sekhar Roy; Chitransh Pratyush; Cornel Barna (SOFA (2), 2016)

Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network. - Sanjiban Sekhar Roy; Abhishek Sinha; Reetika Roy; Cornel Barna; Pijush Samui (SOFA (2), 2016)

A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection. - Sanjiban Sekhar Roy; Abhinav Mallik; Rishab Gulati; Mohammad S. Obaidat; P. Venkata Krishna 001 (ICMC, 2017)

An ensemble design approach based on bagging technique for filtering e-mail spam. - Sanjiban Sekhar Roy; V. Madhu Viswanatham; P. Venkata Krishna 001 (Int. J. Auton. Adapt. Commun. Syst., 2017)

Deep Learning for Brain Computer Interfaces. - Ankita Bose; Sanjiban Sekhar Roy; Valentina Emilia Balas; Pijush Samui (Handbook of Deep Learning Applications, 2019)

Surgical Education using Artificial Intelligence, Augmented Reality and Machine Learning: A Review. - Paridhi Khandelwal; Kathiravan Srinivasan; Sanjiban Sekhar Roy (ICCE-TW, 2019)

A deep learning based CNN approach on MRI for Alzheimer's disease detection. - Sanjiban Sekhar Roy; Raghav Sikaria; Aarti Susan (Intell. Decis. Technol., 2019)

Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis. - Sanjiban Sekhar Roy; Aditya Ranjan; Stefania Tomasiello (ICPR Workshops (4), 2020)

Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies. - Sanjiban Sekhar Roy; Rohan Chopra; Kun Chang Lee; Concetto Spampinato; Behnam Mohammadi-Ivatloo (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Forecasting heating and cooling loads of buildings: a comparative performance analysis. - Sanjiban Sekhar Roy; Pijush Samui; Ishan Nagtode; Hemant Jain; Vishal Shivaramakrishnan; Behnam Mohammadi-Ivatloo (J. Ambient Intell. Humaniz. Comput., 2020)

Prediction of air-pollutant concentrations using hybrid model of regression and genetic algorithm. - Sanjiban Sekhar Roy; Nicolae Paraschiv; Mihaela Popa; Ramona Lile; Ishan Naktode (J. Intell. Fuzzy Syst., 2020)

Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network. - Ankita Bose; Ching-Hsien Hsu; Sanjiban Sekhar Roy; Kun Chang Lee; Behnam Mohammadi-Ivatloo; Satheesh Abimannan (Comput. Electr. Eng., 2021)

Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS. - Rahul Kumar; Pijush Samui; Sunita Kumari; Sanjiban Sekhar Roy (Int. J. Adv. Intell. Paradigms, 2021)

Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline. - Sanjiban Sekhar Roy; Pijush Samui (Int. J. Adv. Intell. Paradigms, 2021)

Heating and Cooling Loads Forecasting for Residential Buildings Based on Hybrid Machine Learning Applications: A Comprehensive Review and Comparative Analysis. - Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Amjad Anvari-Moghaddam; Sanjiban Sekhar Roy (IEEE Access, 2022)

Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models. - Sanjiban Sekhar Roy; Ali Ismail Awad; Lamesgen Adugnaw Amare; Mabrie Tesfaye Erkihun; Mohd Anas (Future Internet, 2022)

L2 regularized deep convolutional neural networks for fire detection. - Sanjiban Sekhar Roy; Vatsal Goti; Aditya Sood; Harsh Roy; Tania Gavrila; Dan Floroian; Nicolae Paraschiv; Behnam Mohammadi-Ivatloo (J. Intell. Fuzzy Syst., 2022)

Deep convolutional neural network for environmental sound classification via dilation. - Sanjiban Sekhar Roy; Sanda Florentina Mihalache; Emil Pricop; Nishant Rodrigues (J. Intell. Fuzzy Syst., 2022)

Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles. - Turki Turki; Sanjiban Sekhar Roy; Y-h. Taguchi 001 (Algorithms, 2023)

Reliability analysis of shallow foundation based on settlement criteria. - Pijush Samui; Aditi Palsapure; Sanjiban Sekhar Roy (Int. J. Adv. Intell. Paradigms, 2023)

Comparison of different optimized machine learning algorithms for daily river flow forecasting. - Pijush Samui; Sefa Nur Yesilyurt; Huseyin Yildirim Dalkilic; Zaher Mundher Yaseen; Sanjiban Sekhar Roy; Sanjay Kumar (Earth Sci. Informatics, 2023)

Natural Language Generation Using Sequential Models: A Survey. - Abhishek Kumar Pandey; Sanjiban Sekhar Roy (Neural Process. Lett., 2023)

Extractive Question Answering Over Ancient Scriptures Texts Using Generative AI and Natural Language Processing Techniques. - Abhishek Kumar Pandey; Sanjiban Sekhar Roy (IEEE Access, 2024)

Metadata and Review-Based Hybrid Apparel Recommendation System Using Cascaded Large Language Models. - Sanjiban Sekhar Roy; Ayush Kumar; Rishikesh Suresh Kumar (IEEE Access, 2024)

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier. - Md. Sohanur Rahman; Muhammad E. H. Chowdhury; Hasib Ryan Rahman; Mosabber Uddin Ahmed; Muhammad Ashad Kabir; Sanjiban Sekhar Roy; Rusab Sarmun (CoRR, 2024)

CANBLWO: a novel hybrid approach for semantic text generation. - Abhishek Kumar Pandey; Sanjiban Sekhar Roy (Int. Arab J. Inf. Technol., 2024)

Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach. - Sanjiban Sekhar Roy; Akash Roy; Pijush Samui; Mostafa Gandomi; Amir H. Gandomi (IEEE Trans. Comput. Soc. Syst., 2024)

Prediction of airfoil self-noise using polynomial regression, multivariate adaptive regression splines, gradient boosting technique and deep learning technique. - Sanjiban Sekhar Roy; Paridhi Singh; Gobind Manuja; Raghav Sikaria; Maharishi Parekh (Int. J. Adv. Intell. Paradigms, 2025)