Articoli con mandati relativi all'accesso pubblico - khushbu agarwalUlteriori informazioni
Non disponibile pubblicamente: 1
High-performance data analytics beyond the relational and graph data models with gems
VG Castellana, M Minutoli, S Bhatt, K Agarwal, A Bleeker, J Feo, ...
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
Mandati: US Department of Energy
Disponibili pubblicamente: 18
Self-supervised learning of contextual embeddings for link prediction in heterogeneous networks
P Wang, K Agarwal, C Ham, S Choudhury, CK Reddy
Proceedings of the web conference 2021, 2946-2957, 2021
Mandati: US National Science Foundation, US Department of Energy
Nous: Construction and querying of dynamic knowledge graphs
S Choudhury, K Agarwal, S Purohit, B Zhang, M Pirrung, W Smith, ...
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1563-1565, 2017
Mandati: US Department of Energy
Machine learning based prediction for peptide drift times in ion mobility spectrometry
AR Shah, K Agarwal, ES Baker, M Singhal, AM Mayampurath, YM Ibrahim, ...
Bioinformatics 26 (13), 1601-1607, 2010
Mandati: US National Institutes of Health
Model-agnostic algorithm for real-time attack identification in power grid using Koopman modes
SP Nandanoori, S Kundu, S Pal, K Agarwal, S Choudhury
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
Mandati: US Department of Energy
Hybrid multiscale simulation of a mixing-controlled reaction
TD Scheibe, K Schuchardt, K Agarwal, J Chase, X Yang, BJ Palmer, ...
Advances in Water Resources 83, 228-239, 2015
Mandati: US Department of Energy
Graph neural network and Koopman models for learning networked dynamics: A comparative study on power grid transients prediction
SP Nandanoori, S Guan, S Kundu, S Pal, K Agarwal, Y Wu, S Choudhury
IEEE Access 10, 32337-32349, 2022
Mandati: US Department of Energy
Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans
NA Kimbrel, AE Ashley-Koch, XJ Qin, JH Lindquist, ME Garrett, ...
JAMA psychiatry 80 (2), 135-145, 2023
Mandati: US Department of Energy, US National Institutes of Health, US Department of …
Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction
K Agarwal, S Choudhury, S Tipirneni, P Mukherjee, C Ham, S Tamang, ...
Scientific reports 12 (1), 10748, 2022
Mandati: US National Science Foundation, US Department of Energy
Data-driven distributed learning of multi-agent systems: A koopman operator approach
SP Nandanoori, S Pal, S Sinha, S Kundu, K Agarwal, S Choudhury
2021 60th IEEE Conference on Decision and Control (CDC), 5059-5066, 2021
Mandati: US Department of Energy
Large scale frequent pattern mining using mpi one-sided model
A Vishnu, K Agarwal
2015 IEEE International Conference on Cluster Computing, 138-147, 2015
Mandati: US Department of Energy
Attention-based aspect reasoning for knowledge base question answering on clinical notes
P Wang, T Shi, K Agarwal, S Choudhury, CK Reddy
Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022
Mandati: US National Science Foundation, US Department of Energy
Percolator: Scalable pattern discovery in dynamic graphs
S Choudhury, S Purohit, P Lin, Y Wu, L Holder, K Agarwal
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
Mandati: US National Science Foundation, US Department of Energy
A many-task parallel approach for multiscale simulations of subsurface flow and reactive transport
TD Scheibe, X Yang, K Schuchardt, K Agarwal, J Chase, B Palmer, ...
Proceedings 7th ACM Workshop on MTAGS, 2014
Mandati: US Department of Energy
Learning distributed geometric koopman operator for sparse networked dynamical systems
S Mukherjee, SP Nandanoori, S Guan, K Agarwal, S Sinha, S Kundu, ...
Learning on Graphs Conference, 45: 1-45: 17, 2022
Mandati: US Department of Energy
MACE prediction using high-dimensional machine learning and mechanistic interpretation: A longitudinal cohort study in US veterans
S Dhaubhadel, B Kolade, RM Ribeiro, K Ganguly, NW Hengartner, ...
MedRxiv, 2022.10. 31.22281742, 2022
Mandati: US Department of Energy, US Department of Veterans Affairs
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data.
S Choudhury, K Agarwal, C Ham, P Mukherjee, S Tang, S Tipirneni, ...
AMIA, 2021
Mandati: US Department of Energy
HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase.
CA Joslyn, M Robinson, J Smart, K Agarwal, D Bridgeland, A Brown, ...
TAC, 2018
Mandati: US Department of Defense
MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators
S Choudhury, K Agarwal, C Ham, S Tamang
Companion Proceedings of the ACM Web Conference 2023, 258-261, 2023
Mandati: US Department of Energy
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