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Hardik Meisheri
Hardik Meisheri
Applied Scientist II, Amazon
在 amazon.com 的电子邮件经过验证 - 首页
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TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture
H Meisheri, L Dey
Proceedings of The 12th International Workshop on Semantic Evaluation, 291-299, 2018
562018
Air Pollutant Severity Prediction Using Bi-Directional LSTM Network
I Verma, R Ahuja, H Meisheri, L Dey
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 651-654, 2018
432018
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier
H Meisheri, N Ramrao, S Mitra
arXiv preprint arXiv:1802.09046, 2018
382018
Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning
S Barat, H Khadilkar, H Meisheri, V Kulkarni, V Baniwal, P Kumar, ...
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
372019
Analyzing behavioral trends in community driven discussion platforms like Reddit
S Thukral, H Meisheri, T Kataria, A Agarwal, I Verma, A Chatterjee, L Dey
arXiv preprint arXiv:1809.07087, 2018
322018
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
NN Sultana, H Meisheri, V Baniwal, S Nath, B Ravindran, H Khadilkar
arXiv preprint arXiv:2006.04037, 2020
312020
Scalable multi-product inventory control with lead time constraints using reinforcement learning
H Meisheri, NN Sultana, M Baranwal, V Baniwal, S Nath, S Verma, ...
Neural Computing and Applications, 1-23, 2021
292021
Detecting, quantifying and accessing impact of news events on Indian stock indices
I Verma, L Dey, H Meisheri
Proceedings of the International Conference on Web Intelligence, 550-557, 2017
262017
Multi-Document Summarization using Distributed Bag-of-Words Model
K Mani, I Verma, H Meisheri, L Dey
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2017
252017
Using reinforcement learning for a large variable-dimensional inventory management problem
H Meisheri, V Baniwal, NN Sultana, H Khadilkar, B Ravindran
Adaptive Learning Agents Workshop at AAMAS, 1-9, 2020
132020
Sentiment extraction from Consumer-generated noisy short texts
H Meisheri, K Ranjan, L Dey
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 399-406, 2017
122017
Multiclass common spatial pattern with artifacts removal methodology for EEG signals
H Meisheri, N Ramrao, SK Mitra
2016 4th International Symposium on Computational and Business Intelligence …, 2016
122016
Predictive Analytics with Structured and Unstructured data-a Deep Learning based Approach.
L Dey, H Meisheri, I Verma
IEEE Intell. Informatics Bull. 18 (2), 27-34, 2017
112017
Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets
H Meisheri, R Saha, P Sinha, L Dey
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017
102017
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
H Meisheri, O Shelke, R Verma, H Khadilkar
arXiv preprint arXiv:1911.04947, 2019
92019
Reinforcement learning of supply chain control policy using closed loop multi-agent simulation
S Barat, P Kumar, M Gajrani, H Khadilkar, H Meisheri, V Baniwal, ...
International Workshop on Multi-Agent Systems and Agent-Based Simulation, 26-38, 2019
92019
System and method for concurrent dynamic optimization of replenishment decision in networked node environment
PMA KARTHA, DA SHAH, HD KHADILKAR, V BANIWAL, H MEISHERI
US Patent 11,321,650, 2022
82022
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems
H Meisheri, V Baniwal, NN Sultana, B Ravindran, H Khadilkar
arXiv preprint arXiv:1910.00211, 2019
52019
Learning representations for sentiment classification using Multi-task framework
H Meisheri, H Khadilkar
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity …, 2018
52018
Reinforcement learning for multi-product multi-node inventory management in supply chains. arXiv 2020
NN Sultana, H Meisheri, V Baniwal, S Nath, B Ravindran, H Khadilkar
arXiv preprint arXiv:2006.04037, 2006
52006
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