Joyjit Chatterjee
Joyjit Chatterjee
Data Scientist (Research Associate) at Reckitt. PhD. Computer Science from University of Hull, UK.
E-mail confirmado em hull.ac.uk - Página inicial
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Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines
J Chatterjee, N Dethlefs
Wind Energy, 1-18, 2020
172020
Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future
J Chatterjee, N Dethlefs
Renewable and Sustainable Energy Reviews 144, 111051, 2021
62021
A dual transformer model for intelligent decision support for maintenance of wind turbines
J Chatterjee, N Dethlefs
International Joint Conference on Neural Networks (IJCNN), Glasgow (UK), 2020
52020
Temporal causal inference in wind turbine scada data using deep learning for explainable AI
J Chatterjee, N Dethlefs
Journal of Physics: Conference Series 1618 (2), 022022, 2020
42020
Speech emotion recognition using cross-correlation and acoustic features
J Chatterjee, V Mukesh, HH Hsu, G Vyas, Z Liu
2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018
42018
Verification and debugging of lc-3 test bench environment using system verilog
J Chatterjee, A Saxena, A Mehra, G Vyas, V Mukesh
2018 Second International Conference on Electronics, Communication and …, 2018
42018
An automatic system for recognition and assessment of anger using adaptive boost
P Chhabra, G Vyas, J Chatterjee, SH Voß
2016 International Conference on Micro-Electronics and Telecommunication …, 2016
32016
Natural Language Generation for Operations and Maintenance in Wind Turbines
J Chatterjee, N Dethlefs
33rd International Conference on Neural Information Processing Systems …, 2019
22019
Modelling of a GaAs based Infrared LED with high efficiency and minimal computation time
J Chatterjee
2017 International Conference on Trends in Electronics and Informatics (ICEI …, 2017
22017
A novel approach towards identification of in-flight situation based on air traffic control conversations
J Chatterjee, A Saxena, G Vyas, HH Hsu
2017 4th International Conference on Signal Processing and Integrated …, 2017
22017
Deep reinforcement learning for maintenance planning of offshore vessel transfer
J Chatterjee, N Dethlefs
Developments in Renewable Energies Offshore, 435-443, 2020
12020
A Robust Automatic Algorithm for Statistical Analysis and Classification of lung Auscultations
J Chatterjee, G Sharma, A Sexena, A Mehra, V Gupta
2019 6th International Conference on Signal Processing and Integrated …, 2019
12019
A computer vision approach to diagnose Parkinson Disease using Brain CT Images
J Chatterjee, A Saxena, G Vyas, A Mehra
2018 Second International Conference on Computing Methodologies and …, 2018
12018
An Efficient Real-Time Approach for Detection of Parkinson’s Disease
J Chatterjee, A Saxena, G Vyas, A Mehra
International Conference on Intelligent Systems Design and Applications, 191-200, 2017
12017
An Automatic and Robust System for Identification of Problematic Call Centre Conversations
J Chatterjee, A Saxena, G Vyas
2016 International Conference on Micro-Electronics and Telecommunication …, 2016
12016
The Promise of Deep Learning for Indian Roads: A Comparative Evaluation of Architectures
M Sharma, J Sehgal, J Chatterjee, A Mehra
Machine Intelligence and Smart Systems, 159-172, 2021
2021
XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines
J Chatterjee, N Dethlefs
arXiv preprint arXiv:2012.10489, 2020
2020
The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines
J Chatterjee, N Dethlefs
26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) at …, 2020
2020
Explainable AI for Intelligent Decision Support in Operations & Maintenance of Wind Turbines
J Chatterjee
European Conference on Artificial Intelligence (ECAI)'s Doctoral Consortium …, 2020
2020
Transparency, Interpretability and Data Availability: Key Challenges for Tackling Climate Change with AI
J Chatterjee, N Dethlefs
Workshop on Data Science in Climate and Climate Impact Research, ETH Zurich …, 2020
2020
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