Arindam Chaudhuri
Orcid: 0000-0002-8122-7172Affiliations:
- 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 50 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
CoRR, 2023
2022
Computación y Sistemas, 2022
2021
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
2020
Proceedings of the Artificial Intelligence and Bioinspired Computational Methods, 2020
Proceedings of the Deep Biometrics, 2020
2019
Springer Briefs in Computer Science, Springer, ISBN: 978-981-13-7473-9, 2019
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019
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
2018
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
2017
Studies in Fuzziness and Soft Computing 352, Springer, ISBN: 978-3-319-50252-6, 2017
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
Proceedings of the Artificial Intelligence Trends in Intelligent Systems, 2017
Springer, ISBN: 978-981-10-6682-5, 2017
2016
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
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
2015
Parallel Fuzzy Rough Support Vector Machine for Data Classification in Cloud Environment.
Informatica (Slovenia), 2015
CoRR, 2015
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
2014
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
2013
Forecasting Rice Production in West Bengal State in India: Statistical vs. Computational Intelligence Techniques.
Int. J. Agric. Environ. Inf. Syst., 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
2012
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
2011
2009
Proceedings of the Rough Sets, 2009
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008