Subhashis Hazarika

According to our database, Subhashis Hazarika authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Are Generative AI systems Capable of Supporting Information Needs of Patients?

Shreya Rajagopal, Subhashis Hazarika, Sookyung Kim, Yan-Ming Chiou, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan

CoRR, 2024

2023

Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem.

Haruki Hirasawa, Soo Kyung Kim, Peetak Mitra, Subhashis Hazarika, Salva Rühling Cachay, Dipti Hingmire, Kalai Ramea, Hansi A. Singh, Philip J. Rasch

CoRR, 2023

HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns.

Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch

Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines.

Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara S. Crawford, Rahul Rai

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles.

Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2020

Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier.

Piyush Chawla, Subhashis Hazarika, Han-Wei Shen

Vis. Informatics, 2020

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation.

Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou

IEEE Trans. Vis. Comput. Graph., 2020

Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data.

Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban

Proceedings of the 31st IEEE Visualization Conference, 2020

2019

Visualization and Visual Analysis of Ensemble Data: A Survey.

Junpeng Wang, Subhashis Hazarika, Cheng Li, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., 2019

CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data.

Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Ping Chen

IEEE Trans. Vis. Comput. Graph., 2019

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations.

Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas

CoRR, 2019

2018

Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models.

Subhashis Hazarika, Ayan Biswas, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., 2018

Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets.

Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen

Entropy, 2018

2016

Visualizing the variations of ensemble of isosurfaces.

Subhashis Hazarika, Soumya Dutta, Han-Wei Shen

Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015

Visualizing the life and anatomy of dark matter.

Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur

Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015

2012

GRP_CH Heuristic for Generating Random Simple Polygon.

Sanjib Sadhu, Subhashis Hazarika, Kapil Kumar Jain, Saurav Basu, Tanmay De

Proceedings of the Combinatorial Algorithms, 23rd International Workshop, 2012