Sanjiban Sekhar Roy

Orcid: 0000-0003-2003-7882

According to our database1, Sanjiban Sekhar Roy authored at least 37 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach.
IEEE Trans. Comput. Soc. Syst., August, 2024

CANBLWO: a novel hybrid approach for semantic text generation.
Int. Arab J. Inf. Technol., 2024

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier.
CoRR, 2024

Metadata and Review-Based Hybrid Apparel Recommendation System Using Cascaded Large Language Models.
IEEE Access, 2024

Extractive Question Answering Over Ancient Scriptures Texts Using Generative AI and Natural Language Processing Techniques.
IEEE Access, 2024

2023
Natural Language Generation Using Sequential Models: A Survey.
Neural Process. Lett., December, 2023

Comparison of different optimized machine learning algorithms for daily river flow forecasting.
Earth Sci. Informatics, March, 2023

Reliability analysis of shallow foundation based on settlement criteria.
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.
Algorithms, 2023

2022
Deep convolutional neural network for environmental sound classification via dilation.
J. Intell. Fuzzy Syst., 2022

L2 regularized deep convolutional neural networks for fire detection.
J. Intell. Fuzzy Syst., 2022

Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models.
Future Internet, 2022

Heating and Cooling Loads Forecasting for Residential Buildings Based on Hybrid Machine Learning Applications: A Comprehensive Review and Comparative Analysis.
IEEE Access, 2022

2021
Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline.
Int. J. Adv. Intell. Paradigms, 2021

Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS.
Int. J. Adv. Intell. Paradigms, 2021

Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network.
Comput. Electr. Eng., 2021

2020
Prediction of air-pollutant concentrations using hybrid model of regression and genetic algorithm.
J. Intell. Fuzzy Syst., 2020

Forecasting heating and cooling loads of buildings: a comparative performance analysis.
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.
Int. J. Ad Hoc Ubiquitous Comput., 2020

Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis.
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.
Intell. Decis. Technol., 2019

Surgical Education using Artificial Intelligence, Augmented Reality and Machine Learning: A Review.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2019

Deep Learning for Brain Computer Interfaces.
Proceedings of the Handbook of Deep Learning Applications., 2019

2017
An ensemble design approach based on bagging technique for filtering e-mail spam.
Int. J. Auton. Adapt. Commun. Syst., 2017

A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection.
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.
Proceedings of the Soft Computing Applications, 2016

Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree.
Proceedings of the Soft Computing Applications, 2016

Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK.
Proceedings of the Soft Computing Applications, 2016

2015
An effective hybridized classifier for breast cancer diagnosis.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2014
Analyzing Intrusion Detection System: An ensemble based stacking approach.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

Stock Market Forecasting Using LASSO Linear Regression Model.
Proceedings of the Afro-European Conference for Industrial Advancement, 2014

2013
Improving circuit miniaturization and its efficiency using Rough Set Theory.
CoRR, 2013

Phishing Detection by determining reliability factor using rough set theory.
CoRR, 2013

Applicability of Rough Set Technique for Data Investigation and Optimization of Intrusion Detection System.
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.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

2012
Can computational biology improve the phylogenetic analysis of insulin?
Comput. Methods Programs Biomed., 2012

Cancer data investigation using variable precision Rough set with flexible classification.
Proceedings of the Second International Conference on Computational Science, 2012


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