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Hardik Meisheri

Observed names: Meisheri Hardik, Meisheri, Hardik
ORCID: 0000-0002-9014-1098
Observed ORCID: 0000-0002-9014-1098
OpenAlex ID: A5028455101
Air Pollutant Severity Prediction Using Bi-Directional LSTM Network
2018 · Ishan Verma, Rahul Ahuja, et al. · IEEE/WIC/ACM International Conference on Web Intelligence · 42
TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture
2018 · Hardik Meisheri, Lipika Dey · International Workshop on Semantic Evaluation (SemEval) · 40
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Scalable multi-product inventory control with lead time constraints using reinforcement learning
2021 · Hardik Meisheri, Nazneen N. Sultana, et al. · Neural Computing and Applications · 38
Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning
2019 · Souvik Barat, Harshad Khadilkar, et al. · Adaptive Agents and Multi-Agents Systems · 33
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier
2018 · Meisheri, Hardik, Ramrao, Nagraj, et al. · arXiv (Cornell University) · 29
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Detecting, quantifying and accessing impact of news events on Indian stock indices
2017 · Ishan Verma, Lipika Dey, et al. · IEEE/WIC/ACM International Conference on Web Intelligence · 25
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit
2018 · Sachin Thukral, Hardik Meisheri, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 21
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Multi-Document Summarization Using Distributed Bag-of-Words Model
2018 · Kaustubh Mani, Ishan Verma, et al. · IEEE/WIC/ACM International Conference on Web Intelligence · 19
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Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
2020 · Sultana, Nazneen N, Meisheri, Hardik, et al. · arXiv (Cornell University) · 18
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Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation
2020 · Souvik Barat, Prashant Kumar, et al. · Lecture notes in computer science · 12
Multiclass common spatial pattern with artifacts removal methodology for EEG signals
2016 · Hardik Meisheri, Nagaraj Ramrao, et al. · International Symposium on Computational and Business Intelligence (ISCBI) · 12
Sentiment Extraction from Consumer-Generated Noisy Short Texts
2017 · Hardik Meisheri, Kunal Ranjan, et al. · IEEE ... International Conference on Data Mining workshops · 10
Predictive Analytics with Structured and Unstructured data - a Deep Learning based Approach.
2017 · Lipika Dey, Hardik Meisheri, et al. · 7
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
2019 · Meisheri, Hardik, Shelke, Omkar, et al. · arXiv (Cornell University) · 6
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Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce
2023 · Pranavi Pathakota, Kunwar Zaid, et al. · Joint International Conference on Data Science & Management of Data (CODS-COMAD) · 4
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Learning representations for sentiment classification using Multi-task framework
2018 · Hardik Meisheri, Harshad Khadilkar · Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA) · 4
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Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets
2017 · Hardik Meisheri, Rupsa Saha, et al. · Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA) · 4
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Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce
2023 · Shelke, Omkar, Pathakota, Pranavi, et al. · arXiv (Cornell University) · 3
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Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems
2019 · Meisheri, Hardik, Baniwal, Vinita, et al. · arXiv (Cornell University) · 3
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DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces
2024 · Pranavi Pathakota, Hardik Meisheri, et al. · Adaptive Agents and Multi-Agents Systems · 1
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A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce
2024 · Omkar Shelke, Pranavi Pathakota, et al. · Joint International Conference on Data Science & Management of Data (CODS-COMAD) · 1
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A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management
2022 · Meisheri, Hardik, Nath, Somjit, et al. · arXiv (Cornell University) · 1
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Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget
2022 · Omkar Shelke, Hardik Meisheri, et al. · Joint International Conference on Data Science & Management of Data (CODS-COMAD) · 1
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FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability
2021 · Hardik Meisheri, Harshad Khadilkar · International Joint Conference on Neural Networks (IJCNN) · 1
Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication
2020 · Meisheri, Hardik, Khadilkar, Harshad · arXiv (Cornell University) · 1
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Works count: 30
Citation count: 336
H-index: 11
I10-index: 12
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