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ORCIDSubhashis Hazarika
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2020 – today
- 2024
[j7]Shubhendu Kumar Singh
, Raj Pradip Khawale, Subhashis Hazarika, Ankur Bhatt, Brian Gainey, Benjamin Lawler, Rahul Rai:
Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics. Neural Comput. Appl. 36(28): 17511-17539 (2024)- [i7]Shreya Rajagopal, Subhashis Hazarika, Sookyung Kim, Yan-Ming Chiou, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan:
Are Generative AI systems Capable of Supporting Information Needs of Patients? CoRR abs/2402.00234 (2024) - 2023
- [c8]Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh:
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CIKM 2023: 4653-4659 - [c7]Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara S. Crawford, Rahul Rai:
Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines. AIAI (2) 2023: 325-339 - [c6]Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch:
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. IEEE VIS (Short Papers) 2023: 226-230 - [i6]Haruki Hirasawa, Soo Kyung Kim, Peetak Mitra, Subhashis Hazarika, Salva Rühling Cachay, Dipti Hingmire, Kalai Ramea, Hansi A. Singh, Philip J. Rasch:
Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem. CoRR abs/2302.01957 (2023) - [i5]Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh:
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CoRR abs/2302.03258 (2023) - [i4]Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch:
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. CoRR abs/2305.07859 (2023) - 2021
- [c5]Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram:
Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. EnvirVis@EuroVis 2021: 9-15 - 2020
- [j6]Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. IEEE Trans. Vis. Comput. Graph. 26(1): 34-44 (2020) - [j5]Piyush Chawla, Subhashis Hazarika, Han-Wei Shen:
Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier. Vis. Informatics 4(2): 132-141 (2020) - [c4]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) 2020: 41-45 - [i3]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR abs/2008.13306 (2020)
2010 – 2019
- 2019
- [j4]Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Ping Chen:
CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data. IEEE Trans. Vis. Comput. Graph. 25(1): 1214-1224 (2019) - [j3]Junpeng Wang, Subhashis Hazarika, Cheng Li, Han-Wei Shen:
Visualization and Visual Analysis of Ensemble Data: A Survey. IEEE Trans. Vis. Comput. Graph. 25(9): 2853-2872 (2019) - [i2]Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. CoRR abs/1904.09044 (2019) - [i1]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - 2018
- [j2]Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen:
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. Entropy 20(7): 540 (2018) - [j1]Subhashis Hazarika, Ayan Biswas, Han-Wei Shen:
Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. IEEE Trans. Vis. Comput. Graph. 24(1): 934-943 (2018) - 2016
- [c3]Subhashis Hazarika, Soumya Dutta, Han-Wei Shen:
Visualizing the variations of ensemble of isosurfaces. PacificVis 2016: 209-213 - 2015
- [c2]Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur:
Visualizing the life and anatomy of dark matter. SciVis 2015: 101-106 - 2012
- [c1]Sanjib Sadhu, Subhashis Hazarika, Kapil Kumar Jain, Saurav Basu, Tanmay De:
GRP_CH Heuristic for Generating Random Simple Polygon. IWOCA 2012: 293-302
Coauthor Index
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