Sanjiban Sekhar Roy

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 24

Top Topics

Comparative Analysis

Multivariate Adaptive Regression Splines

Top Venues

Int. J. Adv. Intell. Paradigms

J. Intell. Fuzzy Syst.

Publications

Sanjiban Sekhar Roy, Akash Roy, Pijush Samui, Mostafa Gandomi, Amir H. Gandomi
Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Abhishek Kumar Pandey, Sanjiban Sekhar Roy
Extractive Question Answering Over Ancient Scriptures Texts Using Generative AI and Natural Language Processing Techniques. IEEE Access 12 (2024)
Pijush Samui, Sefa Nur Yesilyurt, Huseyin Yildirim Dalkilic, Zaher Mundher Yaseen, Sanjiban Sekhar Roy, Sanjay Kumar
Comparison of different optimized machine learning algorithms for daily river flow forecasting. Earth Sci. Informatics 16 (1) (2023)
Abhishek Kumar Pandey, Sanjiban Sekhar Roy
Natural Language Generation Using Sequential Models: A Survey. Neural Process. Lett. 55 (6) (2023)
Turki Turki, Sanjiban Sekhar Roy, Y-h. Taguchi
Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles. Algorithms 16 (9) (2023)
Pijush Samui, Aditi Palsapure, Sanjiban Sekhar Roy
Reliability analysis of shallow foundation based on settlement criteria. Int. J. Adv. Intell. Paradigms 24 (3/4) (2023)
Sanjiban Sekhar Roy, Sanda Florentina Mihalache, Emil Pricop, Nishant Rodrigues
Deep convolutional neural network for environmental sound classification via dilation. J. Intell. Fuzzy Syst. 43 (2) (2022)
Sanjiban Sekhar Roy, Ali Ismail Awad, Lamesgen Adugnaw Amare, Mabrie Tesfaye Erkihun, Mohd Anas
Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models. Future Internet 14 (11) (2022)
Sanjiban Sekhar Roy, Vatsal Goti, Aditya Sood, Harsh Roy, Tania Gavrila, Dan Floroian, Nicolae Paraschiv, Behnam Mohammadi-Ivatloo
L2 regularized deep convolutional neural networks for fire detection. J. Intell. Fuzzy Syst. 43 (2) (2022)
Arash Moradzadeh, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Amjad Anvari-Moghaddam, Sanjiban Sekhar Roy
Heating and Cooling Loads Forecasting for Residential Buildings Based on Hybrid Machine Learning Applications: A Comprehensive Review and Comparative Analysis. IEEE Access 10 (2022)
Sanjiban Sekhar Roy, Pijush Samui
Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline. Int. J. Adv. Intell. Paradigms 19 (2) (2021)
Rahul Kumar, Pijush Samui, Sunita Kumari, Sanjiban Sekhar Roy
Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS. Int. J. Adv. Intell. Paradigms 18 (3) (2021)
Ankita Bose, Ching-Hsien Hsu, Sanjiban Sekhar Roy, Kun Chang Lee, Behnam Mohammadi-Ivatloo, Satheesh Abimannan
Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network. Comput. Electr. Eng. 95 (2021)
Sanjiban Sekhar Roy, Rohan Chopra, Kun Chang Lee, Concetto Spampinato, Behnam Mohammadi-Ivatloo
Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies. Int. J. Ad Hoc Ubiquitous Comput. 33 (1) (2020)
Sanjiban Sekhar Roy, Nicolae Paraschiv, Mihaela Popa, Ramona Lile, Ishan Naktode
Prediction of air-pollutant concentrations using hybrid model of regression and genetic algorithm. J. Intell. Fuzzy Syst. 38 (5) (2020)
Sanjiban Sekhar Roy, Aditya Ranjan, Stefania Tomasiello
Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis. ICPR Workshops (4) (2020)
Sanjiban Sekhar Roy, Pijush Samui, Ishan Nagtode, Hemant Jain, Vishal Shivaramakrishnan, Behnam Mohammadi-Ivatloo
Forecasting heating and cooling loads of buildings: a comparative performance analysis. J. Ambient Intell. Humaniz. Comput. 11 (3) (2020)
Paridhi Khandelwal, Kathiravan Srinivasan, Sanjiban Sekhar Roy
Surgical Education using Artificial Intelligence, Augmented Reality and Machine Learning: A Review. ICCE-TW (2019)
Sanjiban Sekhar Roy, Raghav Sikaria, Aarti Susan
A deep learning based CNN approach on MRI for Alzheimer's disease detection. Intell. Decis. Technol. 13 (4) (2019)
Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna
An ensemble design approach based on bagging technique for filtering e-mail spam. Int. J. Auton. Adapt. Commun. Syst. 10 (3) (2017)
Sanjiban Sekhar Roy, Abhinav Mallik, Rishab Gulati, Mohammad S. Obaidat, P. Venkata Krishna
A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection. ICMC (2017)
Sanjiban Sekhar Roy, Chitransh Pratyush, Cornel Barna
Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree. SOFA (2) (2016)
Sanjiban Sekhar Roy, Deeksha Kaul, Reetika Roy, Cornel Barna, Suhasini Mehta, Anusha Misra
Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK. SOFA (2) (2016)
Sanjiban Sekhar Roy, Abhishek Sinha, Reetika Roy, Cornel Barna, Pijush Samui
Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network. SOFA (2) (2016)
Dishant Mittal, Dev Gaurav, Sanjiban Sekhar Roy
An effective hybridized classifier for breast cancer diagnosis. AIM (2015)
Sanjiban Sekhar Roy, Dishant Mittal, Avik Basu, Ajith Abraham
Stock Market Forecasting Using LASSO Linear Regression Model. AECIA (2014)
Sanjiban Sekhar Roy, P. Venkata Krishna, Sumanth Yenduri
Analyzing Intrusion Detection System: An ensemble based stacking approach. ISSPIT (2014)
Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna, N. Saraf, Anant Gupta, Rajesh Mishra
Applicability of Rough Set Technique for Data Investigation and Optimization of Intrusion Detection System. QSHINE (2013)
Sarvesh S. S. Rawat, Dheeraj Dilip Mor, Anugrah Kumar, Sanjiban Sekhar Roy, Rohit Kumar
Improving circuit miniaturization and its efficiency using Rough Set Theory. CoRR (2013)
Sanjiban Sekhar Roy, Saptarshi Charaborty, Swapnil Sourav, Ajith Abraham
Rough set theory approach for filtering spams from boundary messages in a chat system. ISDA (2013)
Anugrah Kumar, Sanjiban Sekhar Roy, Sarvesh S. S. Rawat, Sanklan Saxena
Phishing Detection by determining reliability factor using rough set theory. CoRR (2013)
Chiranjib Chakraborty, Sanjiban Sekhar Roy, Minna J. Hsu, Govindasamy Agoramoorthy
Can computational biology improve the phylogenetic analysis of insulin? Comput. Methods Programs Biomed. 108 (2) (2012)
Sanjiban Sekhar Roy, Anupam Gupta, Anvesha Sinha, Rohit Ramesh
Cancer data investigation using variable precision Rough set with flexible classification. CCSEIT (2012)