Sumanta Mukherjee
Sumanta Mukherjee
IBM Research
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Cited by
Cited by
Attention based multi-modal new product sales time-series forecasting
V Ekambaram, K Manglik, S Mukherjee, SSK Sajja, S Dwivedi, V Raykar
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Computational analysis of proteome of H5N1 avian influenza virus to define T cell epitopes with vaccine potential
R Parida, MS Shaila, S Mukherjee, NR Chandra, R Nayak
Vaccine 25 (43), 7530-7539, 2007
ABS–Scan: In silico alanine scanning mutagenesis for binding site residues in protein–ligand complex
P Anand, D Nagarajan, S Mukherjee, N Chandra
F1000Research 3, 2014
Structural Annotation of Mycobacterium tuberculosis Proteome
P Anand, S Sankaran, S Mukherjee, K Yeturu, R Laskowski, A Bhardwaj, ...
PloS one 6 (10), e27044, 2011
PLIC: protein–ligand interaction clusters
P Anand, D Nagarajan, S Mukherjee, N Chandra
Database 2014, bau029, 2014
Role of genetic heterogeneity in determining the epidemiological severity of H1N1 influenza
N Sambaturu, S Mukherjee, M López-García, C Molina-París, GI Menon, ...
PLoS computational biology 14 (3), e1006069, 2018
A multi-level multi-scale approach to study essential genes in Mycobacterium tuberculosis
S Ghosh, P Baloni, S Mukherjee, P Anand, N Chandra
BMC Systems Biology 7, 1-21, 2013
Explainable AI based interventions for pre-season decision making in fashion retail
S Sajja, N Aggarwal, S Mukherjee, K Manglik, S Dwivedi, V Raykar
Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials
S Mukherjee, C Bhattacharyya, N Chandra
Bioinformatics 32 (15), 2297-2305, 2016
Deciphering complex patterns of class‐I HLA–peptide cross‐reactivity via hierarchical grouping
S Mukherjee, J Warwicker, N Chandra
Immunology and cell biology 93 (6), 522-532, 2015
Resource Demand Prediction for Distributed Service Network
S Mukherjee, K Narayanam, A Singhee, N Aggarwal
US Patent App. 15/903,267, 2019
Resource position planning for distributed demand satisfaction
K Narayanam, A Singhee, S Mukherjee, F Barahona, JPM Goncalves
US Patent 10,805,382, 2020
Grouping of large populations into few CTL immune ‘response‐types’ from influenza H1N1 genome analysis
S Mukherjee, N Chandra
Clinical & translational immunology 3 (8), e24, 2014
Rationalization and prediction of drug resistant mutations in targets for clinical anti-tubercular drugs
J Padiadpu, S Mukherjee, N Chandra
Journal of Biomolecular Structure and Dynamics 31 (1), 44-58, 2013
Hierarchical proxy modeling for improved hpo in time series forecasting
A Jati, V Ekambaram, S Pal, B Quanz, WM Gifford, P Harsha, S Siegel, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Customizing agricultural practices to maximize crop yield
SN Marvaniya, SR Godbole, S Mukherjee, VC Raykar
US Patent 11,645,308, 2023
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
VC Raykar, A Jati, S Mukherjee, N Aggarwal, K Sarpatwar, ...
arXiv preprint arXiv:2303.12316, 2023
Contextual anomaly detection across assets
K Kulkarni, PV Seshadri, S Mukherjee, S Dwivedi
US Patent 11,271,957, 2022
Primary tuberculosis of the stomach
P Sengupta, P Ghosh, SD Mukherjee
Journal of the Indian Medical Association 71 (8), 209-210, 1978
Semi-supervised counterfactual explanations
SK Sajja, S Mukherjee, S Dwivedi
arXiv preprint arXiv:2303.12634, 2023
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