Arindam Chaudhuri

  • NMIMS University, Mumbai, India
  • Samsung R&D Institute, Noida, India
  • Indian Statistical Institute, Kolkata, India (PhD)

According to our database1, Arindam Chaudhuri authored at least 48 papers between 2008 and 2021.

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



In proceedings 
PhD thesis 


Online presence:



Hierarchical Modified Fast R-CNN for Object Detection.
Informatica (Slovenia), 2021

CoRR, 2021

Detecting Vehicle Type and License Plate Number of different Vehicles on Images.
CoRR, 2021

Predictive Maintenance of Vehicle Fleets Using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Hierarchical Approach Towards High Fidelity Image Generation.
Proceedings of the Artificial Intelligence and Bioinspired Computational Methods, 2020

Deep Learning Models for Face Recognition: A Comparative Analysis.
Proceedings of the Deep Biometrics, 2020

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks
Springer Briefs in Computer Science, Springer, ISBN: 978-981-13-7473-9, 2019

Shape Deformation Models.
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

Some Insights and Observations on Depth Issues in Deep Learning Networks.
Proceedings of the Advances in Computational Intelligence, 2019

The Minimization of Empirical Risk Through Stochastic Gradient Descent with Momentum Algorithms.
Proceedings of the Artificial Intelligence Methods in Intelligent Algorithms, 2019

Reducing Hierarchical Deep Learning Networks as Game Playing Artefact Using Regret Matching.
Proceedings of the Handbook of Deep Learning Applications., 2019

Predictive Maintenance for Industrial IoT of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine.
CoRR, 2018

Hierarchical Fuzzy Deep Leaning Networks for Predicting Human Behavior in Strategic Setups.
Proceedings of the Artificial Intelligence and Algorithms in Intelligent Systems, 2018

Optical Character Recognition Systems for Different Languages with Soft Computing
Studies in Fuzziness and Soft Computing 352, Springer, ISBN: 978-3-319-50252-6, 2017

Solving Rectangular Fuzzy Games through.
Open Comput. Sci., 2017

Hierarchical support vector regression for QoS prediction of network traffic data.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

Hierarchical Rough Fuzzy Self Organizing Map for Weblog Prediction.
Proceedings of the Artificial Intelligence Trends in Intelligent Systems, 2017

Bankruptcy Prediction through Soft Computing based Deep Learning Technique
Springer, ISBN: 978-981-10-6682-5, 2017

Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
Studies in Fuzziness and Soft Computing 331, Springer, ISBN: 978-3-319-26039-6, 2016

Fuzzy Rough Support Vector Machine for Data Classification.
Int. J. Fuzzy Syst. Appl., 2016

Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network.
Proceedings of the Artificial Intelligence Perspectives in Intelligent Systems, 2016

Parallel Fuzzy Rough Support Vector Machine for Data Classification in Cloud Environment.
Informatica (Slovenia), 2015

Fuzzy Mixed Integer Linear Programming for Air Vehicles Operations Optimization.
CoRR, 2015

Fuzzy Mixed Integer Optimization Model for Regression Approach.
CoRR, 2015

An Epsilon Hierarchical Fuzzy Twin Support Vector Regression.
CoRR, 2015

Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms.
Adv. Fuzzy Syst., 2015

QoS prediction for network data traffic using hierarchical modified regularized least squares rough support vector regression.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Hierarchical Intuitionistic Fuzzy Possibilistic C Means Kernel Clustering Algorithm for Distributed Networks.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Support Vector Machine Model for Currency Crisis Discrimination.
CoRR, 2014

Modified fuzzy support vector machine for credit approval classification.
AI Commun., 2014

Optimal negotiation of SLA in federated cloud using multiobjective genetic algorithms.
Proceedings of the 3rd IEEE International Conference on Cloud Networking, 2014

Forecasting Rice Production in West Bengal State in India: Statistical vs. Computational Intelligence Techniques.
Int. J. Agric. Environ. Inf. Syst., 2013

Solution of System of Linear Equations - A Neuro-Fuzzy Approach
CoRR, 2013

Solution of the Decision Making Problems using Fuzzy Soft Relations
CoRR, 2013

Trapezoidal Fuzzy Numbers for the Transportation Problem.
CoRR, 2013

Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi Layer Perception Networks.
CoRR, 2013

Achieving greater Explanatory Power and Forecasting Accuracy with Non-uniform spread Fuzzy Linear Regression.
CoRR, 2013

Fuzzy Integer Linear Programming Mathematical Models for Examination Timetable Problem.
CoRR, 2013

A Comparative study of Transportation Problem under Probabilistic and Fuzzy Uncertainties.
CoRR, 2013

A Dynamic Algorithm for the Longest Common Subsequence Problem using Ant Colony Optimization Technique.
CoRR, 2013

Solution of Rectangular Fuzzy Games by Principle of Dominance Using LR-type Trapezoidal Fuzzy Numbers.
CoRR, 2013

Bankruptcy Prediction Using Bayesian, Hazard, Mixed Logit and Rough Bayesian Models: A Comparative Analysis.
Comput. Inf. Sci., 2013

Hierarchical Modified Regularized Least Squares Fuzzy Support Vector Regression through Multiscale Approach.
Proceedings of the Advances in Computational Intelligence, 2013

Forecasting Financial Time Series Using Multiple Regression, Multi Layer Perception, Radial Basis Function and Adaptive Neuro Fuzzy Inference System Models: A Comparative Analysis.
Comput. Inf. Sci., 2012

Fuzzy Support Vector Machine for bankruptcy prediction.
Appl. Soft Comput., 2011

Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model.
Proceedings of the Rough Sets, 2009

A Comparative Study of Kernels for the Multi-class Support Vector Machine.
Proceedings of the Fourth International Conference on Natural Computation, 2008

A Study of the Traveling Salesman Problem Using Fuzzy Self Organizing Map.
Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008