Sumanta Mukherjee

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 14

Top Topics

Single Modality

Chronic Hepatitis

Hierarchical Bayesian

Top Venues

Publications

Surya Shravan Kumar Sajja, Sumanta Mukherjee, Satyam Dwivedi
Semi-supervised counterfactual explanations. CoRR (2023)
Giridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil, Kanthi K. Sarpatwar, Amaresh Rajasekharan, Amit Dhurandhar, Vijay Arya, Roman Vaculín
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases. KDD (2023)
Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee, Nupur Aggarwal, Kanthi K. Sarpatwar, Giridhar Ganapavarapu, Roman Vaculín
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting. CoRR (2023)
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. KDD (2023)
Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín
Physics-based multiple time-series univariate forecasting. Big Data (2022)
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
Hierarchy-guided Model Selection for Time Series Forecasting. CoRR (2022)
Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee
Robust resource demand estimation using hierarchical Bayesian model in a distributed service system. COMAD/CODS (2021)
Anirban Ghatak, Sumanta Mukherjee
Intersection Patterns in Optimal Binary (5, 3) Doubling Subspace Codes. CoRR (2021)
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail. COMAD/CODS (2021)
Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar
Attention based Multi-Modal New Product Sales Time-series Forecasting. KDD (2020)
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail. CoRR (2020)
Joy Bose, Sumanta Mukherjee
Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers. CoRR (2019)
Narmada Sambaturu, Sumanta Mukherjee, Martín López-García, Carmen Molina-París, Gautam I. Menon, Nagasuma Chandra
Role of genetic heterogeneity in determining the epidemiological severity of H1N1 influenza. PLoS Comput. Biol. 14 (3) (2018)
Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials. Bioinform. 32 (15) (2016)
Praveen Anand, Deepesh Nagarajan, Sumanta Mukherjee, Nagasuma R. Chandra
PLIC: protein-ligand interaction clusters. Database J. Biol. Databases Curation 2014 (2014)
Soma Ghosh, Priyanka Baloni, Sumanta Mukherjee, Praveen Anand, Nagasuma R. Chandra
A multi-level multi-scale approach to study essential genes in Mycobacterium tuberculosis. BMC Syst. Biol. 7 (2013)
Sumanta Mukherjee, Awanti Sambarey, Karyala Prashanthi, Nagasuma R. Chandra
Current trends in modeling host-pathogen interactions. WIREs Data Mining Knowl. Discov. 3 (2) (2013)