| Visualization and Visual Analysis of Ensemble Data: A Survey J Wang, S Hazarika, C Li, HW Shen IEEE Transactions on Visualization and Computer Graphics 25 (9), 2853 - 2872, 2019 | 190 | 2019 |
| Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models S Hazarika, A Biswas, HW Shen IEEE Transactions on Visualization and Computer Graphics 24 (1), 934-943, 2018 | 46 | 2018 |
| NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation S Hazarika, L Haoyu, W Ko-Chih, HW Shen, C Ching-Shan IEEE Transactions on Visualization and Computer Graphics 26 (1), 34-44, 2020 | 35 | 2020 |
| CoDDA: A flexible copula-based distribution driven analysis framework for large-scale multivariate data S Hazarika, S Dutta, HW Shen, JP Chen IEEE transactions on visualization and computer graphics 25 (1), 1214-1224, 2019 | 27 | 2019 |
| Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier P Chawla, S Hazarika, HW Shen Visual Informatics 4 (2), 132-141, 2020 | 17 | 2020 |
| Visualizing the Variations of Ensemble of Isosurfaces S Hazarika, S Dutta, HW Shen 2016 IEEE Pacific Visualization Symposium (PacificVis), 209-213, 2016 | 12 | 2016 |
| Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets S Hazarika, A Biswas, S Dutta, HW Shen Entropy 20 (7), 2018 | 8 | 2018 |
| GRP_CH Heuristic for Generating Random Simple Polygon S Sadhu, S Hazarika, KK Jain, S Basu, T De International Workshop on Combinatorial Algorithms, 293-302, 2012 | 6 | 2012 |
| Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics SK Singh, RP Khawale, S Hazarika, A Bhatt, B Gainey, B Lawler, R Rai Neural Computing and Applications 36 (28), 17511-17539, 2024 | 5 | 2024 |
| Climformer-a spherical transformer model for long-term climate projections SR Cachay, P Mitra, H Hirasawa, S Kim, S Hazarika, D Hingmire, P Rasch, ... Proceedings of the Machine Learning and the Phys-ical Sciences Workshop …, 2022 | 5 | 2022 |
| Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations Q Liu, S Hazarika, JM Patchett, JP Ahrens, A Biswas SC19: The International Conference for High Performance Computing …, 2019 | 3 | 2019 |
| Identification of novel organic polar materials: A machine learning study with importance sampling A Ghosh, DP Trujillo, S Hazarika, E Schiesser, MJ Swamynathan, ... APL Machine Learning 1 (4), 2023 | 2 | 2023 |
| PRISM E Lawrence, N Urban, M Grosskopf, N Klein, A Lui, K Rumsey, S Dutta, ... | 2 | 2021 |
| Visualizing the life and anatomy of dark matter S Hazarika, TH Wei, R Mukherjee, A Barbur 2015 IEEE Scientific Visualization Conference (SciVis), 101-106, 2015 | 2 | 2015 |
| The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale J Ahrens, M Arienti, U Ayachit, J Bennett, R Binyahib, A Biswas, ... The International Journal of High Performance Computing Applications 39 (1 …, 2025 | 1 | 2025 |
| Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles S Kim, K Ramea, SR Cachay, H Hirasawa, S Hazarika, D Hingmire, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines R Goyal, D Chowdhury, S Hazarika, RP Khawale, SK Singh, L Crawford, ... IFIP International Conference on Artificial Intelligence Applications and …, 2023 | 1 | 2023 |
| Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem H Hirasawa, S Kim, P Mitra, S Hazarika, S Ruhling-Cachay, D Hingmire, ... arXiv preprint arXiv:2302.01957, 2023 | 1 | 2023 |
| Filling the Void: Deep Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data A Mishra, S Hazarika, A Biswas, C Bryan OSF, 2022 | 1 | 2022 |
| Identification of novel organic ferroelectrics: A study combining importance sampling with machine learning A Ghosh, DP Trujillo, S Hazarika, E Schiesser, MJ Swamynathan, ... arXiv preprint arXiv:2108.13206, 2021 | 1 | 2021 |
Han-Wei ShenProgram Director, NSF IIS/HCC; EIC, IEEE TVCG; Professor, The Ohio State UniversityPatvirtintas el. paštas osu.edu
