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ORCIDSanjiban Sekhar Roy
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2020 – today
- 2024
[j21]Abhishek Kumar Pandey
, Sanjiban Sekhar Roy:
Extractive Question Answering Over Ancient Scriptures Texts Using Generative AI and Natural Language Processing Techniques. IEEE Access 12: 101197-101209 (2024)- [j20]Sanjiban Sekhar Roy, Ayush Kumar, Rishikesh Suresh Kumar:
Metadata and Review-Based Hybrid Apparel Recommendation System Using Cascaded Large Language Models. IEEE Access 12: 140053-140071 (2024) - [j19]Abhishek Kumar Pandey, Sanjiban Sekhar Roy:
CANBLWO: a novel hybrid approach for semantic text generation. Int. Arab J. Inf. Technol. 21(4): 690-710 (2024) - [j18]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): 5028-5037 (2024) - 2023
- [j17]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): 401 (2023) - [j16]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): 533-548 (2023) - [j15]Pijush Samui, Aditi Palsapure, Sanjiban Sekhar Roy:
Reliability analysis of shallow foundation based on settlement criteria. Int. J. Adv. Intell. Paradigms 24(3/4): 369-379 (2023) - [j14]Abhishek Kumar Pandey, Sanjiban Sekhar Roy:
Natural Language Generation Using Sequential Models: A Survey. Neural Process. Lett. 55(6): 7709-7742 (2023) - 2022
- [j13]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: 2196-2215 (2022) - [j12]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): 340 (2022) - [j11]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): 1799-1810 (2022) - [j10]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): 1827-1833 (2022) - 2021
- [j9]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: 107405 (2021) - [j8]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): 316-336 (2021) - [j7]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): 119-127 (2021) - 2020
- [j6]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): 62-71 (2020) - [j5]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): 1253-1264 (2020) - [j4]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): 5909-5919 (2020) - [c12]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: 422-429
2010 – 2019
- 2019
- [j3]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): 495-505 (2019) - [c11]Paridhi Khandelwal, Kathiravan Srinivasan, Sanjiban Sekhar Roy:
Surgical Education using Artificial Intelligence, Augmented Reality and Machine Learning: A Review. ICCE-TW 2019: 1-2 - [p1]Ankita Bose, Sanjiban Sekhar Roy, Valentina Emilia Balas, Pijush Samui:
Deep Learning for Brain Computer Interfaces. Handbook of Deep Learning Applications 2019: 333-344 - [e1]Valentina Emilia Balas, Sanjiban Sekhar Roy, Dharmendra Sharma, Pijush Samui:
Handbook of Deep Learning Applications. Springer 2019, ISBN 978-3-030-11478-7 [contents] - 2017
- [j2]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): 247-260 (2017) - [c10]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: 44-53 - 2016
- [c9]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: 140-152 - [c8]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: 153-161 - [c7]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: 162-174 - 2015
- [c6]Dishant Mittal, Dev Gaurav, Sanjiban Sekhar Roy:
An effective hybridized classifier for breast cancer diagnosis. AIM 2015: 1026-1031 - 2014
- [c5]Sanjiban Sekhar Roy, Dishant Mittal, Avik Basu, Ajith Abraham:
Stock Market Forecasting Using LASSO Linear Regression Model. AECIA 2014: 371-381 - [c4]Sanjiban Sekhar Roy, P. Venkata Krishna, Sumanth Yenduri:
Analyzing Intrusion Detection System: An ensemble based stacking approach. ISSPIT 2014: 307-309 - 2013
- [c3]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: 28-34 - [c2]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: 479-484 - [i2]Anugrah Kumar, Sanjiban Sekhar Roy, Sarvesh S. S. Rawat, Sanklan Saxena:
Phishing Detection by determining reliability factor using rough set theory. CoRR abs/1312.2709 (2013) - [i1]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 abs/1312.2710 (2013) - 2012
- [j1]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): 860-872 (2012) - [c1]Sanjiban Sekhar Roy, Anupam Gupta, Anvesha Sinha, Rohit Ramesh:
Cancer data investigation using variable precision Rough set with flexible classification. CCSEIT 2012: 472-475
Coauthor Index
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last updated on 2024-10-23 21:24 CEST by the dblp team
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