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ORCIDArindam Chaudhuri
Person information
- affiliation: NMIMS University, Mumbai, India
- affiliation: Samsung R&D Institute, Noida, India
- affiliation (PhD): Indian Statistical Institute, Kolkata, India
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2020 – today
- 2024
[j12]Arindam Chaudhuri, Soumya K. Ghosh:
Predictive maintenance of vehicle fleets through hybrid deep learning-based ensemble methods for industrial IoT datasets. Log. J. IGPL 32(4): 671-687 (2024)- 2023
- [i17]Arindam Chaudhuri:
Smart Traffic Management of Vehicles using Faster R-CNN based Deep Learning Method. CoRR abs/2311.10099 (2023) - 2022
- [j11]Arindam Chaudhuri:
Sentiment Analysis of COVID19 Reviews Using Hierarchical Version of d-RNN. Computación y Sistemas 26(2) (2022) - 2021
- [j10]Arindam Chaudhuri:
Hierarchical Modified Fast R-CNN for Object Detection. Informatica (Slovenia) 45(7) (2021) - [c15]Arindam Chaudhuri, Soumya K. Ghosh:
Predictive Maintenance of Vehicle Fleets Using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets. HAIS 2021: 331-342 - [i16]Aashna Ahuja, Arindam Chaudhuri:
Detecting Vehicle Type and License Plate Number of different Vehicles on Images. CoRR abs/2104.09568 (2021) - [i15]Arindam Chaudhuri:
B-Splines. CoRR abs/2108.06617 (2021) - 2020
- [c14]Arindam Chaudhuri, Soumya K. Ghosh:
Hierarchical Approach Towards High Fidelity Image Generation. CSOC (2) 2020: 245-256 - [p2]Arindam Chaudhuri:
Deep Learning Models for Face Recognition: A Comparative Analysis. Deep Biometrics 2020: 99-140
2010 – 2019
- 2019
- [b4]Arindam Chaudhuri:
Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks. Springer Briefs in Computer Science, Springer 2019, ISBN 978-981-13-7473-9, pp. 1-68 - [c13]Arindam Chaudhuri:
The Minimization of Empirical Risk Through Stochastic Gradient Descent with Momentum Algorithms. CSOC (2) 2019: 168-181 - [c12]Arindam Chaudhuri:
Some Insights and Observations on Depth Issues in Deep Learning Networks. IWANN (1) 2019: 583-595 - [p1]Arindam Chaudhuri, Soumya K. Ghosh:
Reducing Hierarchical Deep Learning Networks as Game Playing Artefact Using Regret Matching. Handbook of Deep Learning Applications 2019: 345-362 - [r1]Arindam Chaudhuri:
Shape Deformation Models. Encyclopedia of Computer Graphics and Games 2019 - 2018
- [c11]Arindam Chaudhuri, Soumya K. Ghosh:
Hierarchical Fuzzy Deep Leaning Networks for Predicting Human Behavior in Strategic Setups. CSOS (2) 2018: 111-121 - [i14]Arindam Chaudhuri:
Predictive Maintenance for Industrial IoT of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine. CoRR abs/1806.09612 (2018) - 2017
- [b3]Arindam Chaudhuri, Soumya K. Ghosh:
Bankruptcy Prediction through Soft Computing based Deep Learning Technique. Springer 2017, ISBN 978-981-10-6682-5, pp. 1-102 - [b2]Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh:
Optical Character Recognition Systems for Different Languages with Soft Computing. Studies in Fuzziness and Soft Computing 352, Springer 2017, ISBN 978-3-319-50251-9, pp. 1-245 - [j9]Arindam Chaudhuri:
Solving Rectangular Fuzzy Games through. Open Comput. Sci. 7(1): 46-50 (2017) - [c10]Arindam Chaudhuri, Soumya K. Ghosh:
Hierarchical Rough Fuzzy Self Organizing Map for Weblog Prediction. CSOC (1) 2017: 188-199 - [c9]Arindam Chaudhuri:
Hierarchical support vector regression for QoS prediction of network traffic data. IML 2017: 15:1-15:6 - 2016
- [b1]Arindam Chaudhuri, Soumya Kanti Ghosh:
Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory. Studies in Fuzziness and Soft Computing 331, Springer 2016, ISBN 978-3-319-26037-2, pp. 1-188 - [j8]Arindam Chaudhuri:
Fuzzy Rough Support Vector Machine for Data Classification. Int. J. Fuzzy Syst. Appl. 5(2): 26-53 (2016) - [c8]Arindam Chaudhuri, Soumya K. Ghosh:
Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network. CSOC (1) 2016: 249-261 - 2015
- [j7]Arindam Chaudhuri
:
Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms. Adv. Fuzzy Syst. 2015 (2015) - [j6]Arindam Chaudhuri:
Parallel Fuzzy Rough Support Vector Machine for Data Classification in Cloud Environment. Informatica (Slovenia) 39(4) (2015) - [c7]Arindam Chaudhuri, Soumya K. Ghosh:
Hierarchical Intuitionistic Fuzzy Possibilistic C Means Kernel Clustering Algorithm for Distributed Networks. IFSA-EUSFLAT 2015 - [c6]Arindam Chaudhuri, Soumya Maity, Soumya Kanti Ghosh:
QoS prediction for network data traffic using hierarchical modified regularized least squares rough support vector regression. SAC 2015: 659-661 - [i13]Arindam Chaudhuri, Dipak Chatterjee:
Fuzzy Mixed Integer Optimization Model for Regression Approach. CoRR abs/1503.04220 (2015) - [i12]Arindam Chaudhuri, Dipak Chatterjee, Ritesh Rajput:
Fuzzy Mixed Integer Linear Programming for Air Vehicles Operations Optimization. CoRR abs/1503.04222 (2015) - [i11]Arindam Chaudhuri:
An Epsilon Hierarchical Fuzzy Twin Support Vector Regression. CoRR abs/1509.03247 (2015) - 2014
- [j5]Arindam Chaudhuri:
Modified fuzzy support vector machine for credit approval classification. AI Commun. 27(2): 189-211 (2014) - [c5]Soumya Maity, Arindam Chaudhuri:
Optimal negotiation of SLA in federated cloud using multiobjective genetic algorithms. CloudNet 2014: 269-271 - [i10]Arindam Chaudhuri:
Support Vector Machine Model for Currency Crisis Discrimination. CoRR abs/1403.0481 (2014) - 2013
- [j4]Arindam Chaudhuri:
Bankruptcy Prediction Using Bayesian, Hazard, Mixed Logit and Rough Bayesian Models: A Comparative Analysis. Comput. Inf. Sci. 6(2): 103-125 (2013) - [j3]Arindam Chaudhuri:
Forecasting Rice Production in West Bengal State in India: Statistical vs. Computational Intelligence Techniques. Int. J. Agric. Environ. Inf. Syst. 4(4): 68-91 (2013) - [c4]Arindam Chaudhuri:
Hierarchical Modified Regularized Least Squares Fuzzy Support Vector Regression through Multiscale Approach. IWANN (1) 2013: 393-407 - [i9]Arindam Chaudhuri, Kajal De, Dipak Chatterjee:
Solution of the Decision Making Problems using Fuzzy Soft Relations. CoRR abs/1304.7238 (2013) - [i8]Arindam Chaudhuri, Kajal De, Dipak Chatterjee:
Solution of System of Linear Equations - A Neuro-Fuzzy Approach. CoRR abs/1304.7239 (2013) - [i7]Arindam Chaudhuri:
Solution of Rectangular Fuzzy Games by Principle of Dominance Using LR-type Trapezoidal Fuzzy Numbers. CoRR abs/1307.1890 (2013) - [i6]Arindam Chaudhuri, Kajal De:
A Comparative study of Transportation Problem under Probabilistic and Fuzzy Uncertainties. CoRR abs/1307.1891 (2013) - [i5]Arindam Chaudhuri, Kajal De, Dipak Chatterjee, Pabitra Mitra:
Trapezoidal Fuzzy Numbers for the Transportation Problem. CoRR abs/1307.1893 (2013) - [i4]Arindam Chaudhuri, Kajal De, Dipak Chatterjee:
Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi Layer Perception Networks. CoRR abs/1307.1895 (2013) - [i3]Arindam Chaudhuri, Kajal De:
Fuzzy Integer Linear Programming Mathematical Models for Examination Timetable Problem. CoRR abs/1307.1900 (2013) - [i2]Arindam Chaudhuri, Kajal De:
Achieving greater Explanatory Power and Forecasting Accuracy with Non-uniform spread Fuzzy Linear Regression. CoRR abs/1307.1903 (2013) - [i1]Arindam Chaudhuri:
A Dynamic Algorithm for the Longest Common Subsequence Problem using Ant Colony Optimization Technique. CoRR abs/1307.1905 (2013) - 2012
- [j2]Arindam Chaudhuri:
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. 5(6): 13-24 (2012) - 2011
- [j1]Arindam Chaudhuri, Kajal De:
Fuzzy Support Vector Machine for bankruptcy prediction. Appl. Soft Comput. 11(2): 2472-2486 (2011)
2000 – 2009
- 2009
- [c3]Arindam Chaudhuri, Kajal De:
Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model. RSFDGrC 2009: 369-381 - 2008
- [c2]Arindam Chaudhuri, Kajal De, Dipak Chatterjee:
A Study of the Traveling Salesman Problem Using Fuzzy Self Organizing Map. ICIIS 2008: 1-5 - [c1]Arindam Chaudhuri, Kajal De, Dipak Chatterjee:
A Comparative Study of Kernels for the Multi-class Support Vector Machine. ICNC (2) 2008: 3-7
Coauthor Index
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