Sanjiban Sekhar Roy

发表

Incremental Dilations Using CNN for Brain Tumor Classification

Sanjiban Sekhar Roy, Nishant Rodrigues, Y-h. Taguchi, 2020, Applied Sciences.

Cancer data investigation using variable precision Rough set with flexible classification

Sanjiban Sekhar Roy, Anupam Gupta, Anvesha Sinha, 2012, CCSEIT '12.

A New SVM Method for Recognizing Polarity of Sentiments in Twitter

Pijush Samui, Sanjiban Sekhar Roy, Marenglen Biba, 2017 .

Dilated Deep Neural Network for Segmentation of Retinal Blood Vessels in Fundus Images

Sanjiban Sekhar Roy, Raj Biswas, Ashwin Vasan, 2020, Iranian Journal of Science and Technology, Transactions of Electrical Engineering.

Analyzing Intrusion Detection System: An ensemble based stacking approach

P. Venkata Krishna, Sumanth Yenduri, Sanjiban Sekhar Roy, 2014, 2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass

Pijush Samui, Sanjiban Sekhar Roy, Pradeep Kurup, 2018 .

An effective hybridized classifier for breast cancer diagnosis

Sanjiban Sekhar Roy, Dishant Mittal, Dev Gaurav, 2015, 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Pijush Samui, Sanjiban Sekhar Roy, Ravinesh C. Deo, 2018 .

Classifying multi-category images using deep learning : A convolutional neural network model

Sanjiban Sekhar Roy, Ardhendu Bandhu, 2017, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).

Big data in engineering applications

Sanjiban Sekhar Roy, Ravinesh C. Deo, Pijushi Samui, 2018 .

Deep Learning for Brain Computer Interfaces

Pijush Samui, Sanjiban Sekhar Roy, Valentina Emilia Balas, 2019, Handbook of Deep Learning Applications.

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

Sanjiban Sekhar Roy, Ajith Abraham, Saptarshi Charaborty, 2013, 2013 13th International Conference on Intellient Systems Design and Applications.

Classifying CT scan images based on contrast material and age of a person: ConvNets approach

Kathiravan Srinivasan, Sanjiban Sekhar Roy, Soumik Mitra, 2021 .

Stock Market Forecasting Using LASSO Linear Regression Model

Sanjiban Sekhar Roy, Ajith Abraham, Dishant Mittal, 2014, AECIA.

Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network

Pijush Samui, Sanjiban Sekhar Roy, Abhishek Sinha, 2016, SOFA.

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

P. Venkata Krishna, Sanjiban Sekhar Roy, V. Madhu Viswanatham, 2017, Int. J. Auton. Adapt. Commun. Syst..

A novel hybrid model for network intrusion detection

Sanjiban Sekhar Roy, Saptarshi Charaborty, Anugrah Kumar, 2013, 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE).

Multicriteria decision examination in wireless sensor networks

Sanjiban Sekhar Roy, Jatin Arora, Sarvesh S. S. Rawat, 2014, 2014 International Conference on Reliability Optimization and Information Technology (ICROIT).

Prediction of air-pollutant concentrations using hybrid model of regression and genetic algorithm

Sanjiban Sekhar Roy, Nicolae Paraschiv, Ramona Lile, 2020, J. Intell. Fuzzy Syst..

Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM

Sanjiban Sekhar Roy, Valentina E. Balas, Reetika Roy, 2018 .

A deep learning based CNN approach on MRI for Alzheimer's disease detection

Sanjiban Sekhar Roy, Raghav Sikaria, Aarti Susan, 2020, Intell. Decis. Technol..

E-learning tool for Japanese language learning through English, Hindi and Tamil: A computer assisted language learning (CALL) based approach

Sanjiban Sekhar Roy, Shobhit Tiwari, Sourav Khandelwal, 2011, 2011 Third International Conference on Advanced Computing.

Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK

Sanjiban Sekhar Roy, Reetika Roy, Cornel Barna, 2016, SOFA.

Classifying Spam Emails Using Artificial Intelligent Techniques

Sanjiban Sekhar Roy, V. Madhu Viswanatham, V. M. Viswanatham, 2016 .

Exposition of novel approaches for filtering spam emails using machine learning techniques

Sanjiban Sekhar Roy, 2016 .

Driver drowsiness detection using heart rate and behavior methods: A study

Sanjiban Sekhar Roy, Anmol Wadhwa, Anmol Wadhwa, 2021 .

A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection

P. Venkata Krishna, Mohammad S. Obaidat, Sanjiban Sekhar Roy, 2017, ICMC.

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

P. Venkata Krishna, Sanjiban Sekhar Roy, Anant Gupta, 2013, QSHINE.

Forecasting heating and cooling loads of buildings: a comparative performance analysis

Pijush Samui, Sanjiban Sekhar Roy, Hemant Jain, 2020, J. Ambient Intell. Humaniz. Comput..

Classifying Images of Drought-Affected Area Using Deep Belief Network, kNN, and Random Forest Learning Techniques

Pijush Samui, Sanjiban Sekhar Roy, S. S. Roy, 2018 .

Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies

Concetto Spampinato, Sanjiban Sekhar Roy, Kun Chang Lee, 2020, Int. J. Ad Hoc Ubiquitous Comput..

Spam detection using hybrid model of rough set and decorate ensemble

P. Venkata Krishna, Sanjiban Sekhar Roy, V. Madhu Viswanatham, 2016 .

Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies

Concetto Spampinato, Sanjiban Sekhar Roy, Behnam Mohammadi-Ivatloo, 2020, Int. J. Ad Hoc Ubiquitous Comput..

A Novel Diagnostic Approach Based on Support Vector Machine with Linear Kernel for Classifying the Erythemato-Squamous Disease

Sanjiban Sekhar Roy, Ajith Abraham, Avik Basu, 2015, 2015 International Conference on Computing Communication Control and Automation.

Handbook of Deep Learning Applications

Sanjiban Sekhar Roy, Dharmendra Sharma, Valentina E. Balas, 2019, Smart Innovation, Systems and Technologies.

End-to-End Reinforcement Learning for Self-driving Car

Sanjiban Sekhar Roy, Rohan Chopra, 2020 .

Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline

Pijush Samui, Sanjiban Sekhar Roy, 2021 .

Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline

Pijush Samui, Sanjiban Sekhar Roy, 2021, Int. J. Adv. Intell. Paradigms.

Pragmatic studies of diffusion in social networks

Sanjiban Sekhar Roy, B. D. Deebak, B.D. Deebak, 2021 .

Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS

Pijush Samui, Sanjiban Sekhar Roy, Sunita Kumari, 2021, Int. J. Adv. Intell. Paradigms.

Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS

Pijush Samui, Sanjiban Sekhar Roy, Sunita Kumari, 2021 .

Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network

Sanjiban Sekhar Roy, Behnam Mohammadi-Ivatloo, Satheesh Abimannan, 2021, Comput. Electr. Eng..

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

Sanjiban Sekhar Roy, Mehdi Abapour, Amjad Anvari-Moghaddam, 2021, IEEE Access.

Multicriteria Decision Analysis for Intrusion Detection Data

Sanjiban Sekhar Roy, Madhu Viswanatham, Omsai Jadhav, 2013 .

Determination of Uplift Capacity of Suction Caisson Using Gaussian Process Regression, Minimax Probability Machine Regression and Extreme Learning Machine

J. Jagan, Pijush Samui, Sanjiban Sekhar Roy, 2018, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

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

Sanjiban Sekhar Roy, Cornel Barna, S. S. Roy, 2016, SOFA.

Can computational biology improve the phylogenetic analysis of insulin?

Sanjiban Sekhar Roy, Chiranjib Chakraborty, Sanjiban S. Roy, 2012, Comput. Methods Programs Biomed..

Novel Hate Speech Detection Using Word Cloud Visualization and Ensemble Learning Coupled with Count Vectorizer

Sanjiban Sekhar Roy, S. S. Roy, T. Turki, 2022, Applied Sciences.

Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models

Sanjiban Sekhar Roy, S. S. Roy, A. Awad, 2022, Future Internet.

L2 regularized deep convolutional neural networks for fire detection

Sanjiban Sekhar Roy, B. Mohammadi-ivatloo, N. Paraschiv, 2022, Journal of Intelligent & Fuzzy Systems.

TRX Cryptocurrency Profit and Transaction Success Rate Prediction Using Whale Optimization-Based Ensemble Learning Framework

Sanjiban Sekhar Roy, T. K. Das, A. Shukla, 2023, Mathematics.

Tensor Decomposition and Principal Component Analysis-Based Unsupervised Feature Extraction Outperforms State-of-the-Art Methods When Applied to Histone Modification Profiles

Sanjiban Sekhar Roy, S. S. Roy, Y-h. Taguchi, 2022, bioRxiv.

Natural Language Generation Using Sequential Models: A Survey

Sanjiban Sekhar Roy, Abhishek Kumar Pandey, 2023, Neural Processing Letters.

A hypothetical relationship between the nuclear reprogramming factors for induced pluripotent stem (iPS) cells generation--bioinformatic and algorithmic approach.

Sanjiban Sekhar Roy, S. S. Roy, C. Hsu, 2011, Medical hypotheses.

Landscape Mapping of Functional Proteins in Insulin Signal Transduction and Insulin Resistance: A Network-Based Protein-Protein Interaction Analysis

Sanjiban Sekhar Roy, S. S. Roy, C. Chakraborty, 2011, PloS one.

Dilated Deep Neural Network for Segmentation of Retinal Blood Vessels in Fundus Images

Sanjiban Sekhar Roy, Ashwin Vasan, Raj Biswas, 2019, Iranian Journal of Science and Technology, Transactions of Electrical Engineering.

Estimating Concrete Compressive Strength Using MARS, LSSVM and GP

Sanjiban Sekhar Roy, S. S. Roy, P. Samui, 2020 .

Determination of Uplift Capacity of Suction Caisson Using Gaussian Process Regression, Minimax Probability Machine Regression and Extreme Learning Machine

Sanjiban Sekhar Roy, P. Samui, Dookie Kim, 2018, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles

Sanjiban Sekhar Roy, Y-h. Taguchi, T. Turki, 2023, Algorithms.

Comparison of different optimized machine learning algorithms for daily river flow forecasting

Sanjiban Sekhar Roy, S. S. Roy, Z. Yaseen, 2022, Earth Science Informatics.