Sanjiban Sekhar Roy

According to our database, Sanjiban Sekhar Roy authored at least 32 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Natural Language Generation Using Sequential Models: A Survey.

Abhishek Kumar Pandey, Sanjiban Sekhar Roy

Neural Process. Lett., December, 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, March, 2023

Reliability analysis of shallow foundation based on settlement criteria.

Pijush Samui, Aditi Palsapure, Sanjiban Sekhar Roy

Int. J. Adv. Intell. Paradigms, 2023

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

Algorithms, 2023

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

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

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

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

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

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

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

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 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

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

Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis.

Sanjiban Sekhar Roy, Aditya Ranjan, Stefania Tomasiello

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

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

Surgical Education using Artificial Intelligence, Augmented Reality and Machine Learning: A Review.

Paridhi Khandelwal, Kathiravan Srinivasan, Sanjiban Sekhar Roy

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2019

Deep Learning for Brain Computer Interfaces.

Ankita Bose, Sanjiban Sekhar Roy, Valentina Emilia Balas, Pijush Samui

Proceedings of the Handbook of Deep Learning Applications., 2019

2017

An ensemble design approach based on bagging technique for filtering e-mail spam.

Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna

Int. J. Auton. Adapt. Commun. Syst., 2017

A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection.

Sanjiban Sekhar Roy, Abhinav Mallik, Rishab Gulati, Mohammad S. Obaidat, P. Venkata Krishna

Proceedings of the Mathematics and Computing - Third International Conference, 2017

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

Proceedings of the Soft Computing Applications, 2016

Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree.

Sanjiban Sekhar Roy, Chitransh Pratyush, Cornel Barna

Proceedings of the Soft Computing Applications, 2016

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

Proceedings of the Soft Computing Applications, 2016

2015

An effective hybridized classifier for breast cancer diagnosis.

Dishant Mittal, Dev Gaurav, Sanjiban Sekhar Roy

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2014

Analyzing Intrusion Detection System: An ensemble based stacking approach.

Sanjiban Sekhar Roy, P. Venkata Krishna, Sumanth Yenduri

Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

Stock Market Forecasting Using LASSO Linear Regression Model.

Sanjiban Sekhar Roy, Dishant Mittal, Avik Basu, Ajith Abraham

Proceedings of the Afro-European Conference for Industrial Advancement, 2014

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

Phishing Detection by determining reliability factor using rough set theory.

Anugrah Kumar, Sanjiban Sekhar Roy, Sarvesh S. S. Rawat, Sanklan Saxena

CoRR, 2013

Applicability of Rough Set Technique for Data Investigation and Optimization of Intrusion Detection System.

Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna, N. Saraf, Anant Gupta, Rajesh Mishra

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2013

Rough set theory approach for filtering spams from boundary messages in a chat system.

Sanjiban Sekhar Roy, Saptarshi Charaborty, Swapnil Sourav, Ajith Abraham

Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

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

Cancer data investigation using variable precision Rough set with flexible classification.

Sanjiban Sekhar Roy, Anupam Gupta, Anvesha Sinha, Rohit Ramesh

Proceedings of the Second International Conference on Computational Science, 2012