Articles with public access mandates - Yash GargLearn more
Not available anywhere: 2
Two-dimensional attentive fusion for multi-modal learning of neuroimaging and genomics data
MA Rahaman, Y Garg, A Iraji, Z Fu, J Chen, V Calhoun
2022 IEEE 32nd International Workshop on Machine Learning for Signal …, 2022
Mandates: US National Institutes of Health
Multi-task and multi-domain learning with tensor networks
Y Garg, A Prater-Bennette, MS Asif
Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII …, 2023
Mandates: US Department of Defense
Available somewhere: 10
On the effectiveness of distance measures for similarity search in multi-variate sensory data: Effectiveness of distance measures for similarity search
Y Garg, SR Poccia
Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017
Mandates: US National Science Foundation
SIMDMS: Data management and analysis to support decision making through large simulation ensembles
SR Poccia, ML Sapino, L Sicong, C Xilun, G Yash, H Shengyu, HK Jung, ...
Proceedings of the 20th International Conference on Extending Database …, 2017
Mandates: US National Science Foundation, European Commission
RACKNet : Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification
Y Garg, KS Candan
Proceedings of the 2019 ACM on International Conference on Multimedia …, 2019
Mandates: US National Science Foundation, European Commission
SAN: Scale Space Attention Network
Y Garg, KS Candan, ML Sapino
IEEE International Conference on Data Engineering (ICDE), 2020
Mandates: US National Science Foundation
iSparse: Output Informed Sparsification of Neural Networks
Y Garg, KS Candan
ACM International Conference on Multimedia Retrieval (ICMR), 2020
Mandates: US National Science Foundation
SDMA: Saliency Driven Mutual Cross Attention for MultiVariate Time Series
Y Garg, KS Candan
International Conference on Pattern Recognition (ICPR), 2020
Mandates: US National Science Foundation
Datastorm-FE: A data-and decision-flow and coordination engine for coupled simulation ensembles
HW Behrens, KS Candan, X Chen, A Gadkari, Y Garg, ML Li, X Li, S Liu, ...
Proceedings of the VLDB Endowment 11 (12), 2018
Mandates: US National Science Foundation, European Commission
Selego: Robust Variate Selection for Accurate Time Series Forecasting
M Tiwaskar, Y Garg, X Li, KS Candan, ML Sapino
Data Mining and Knowledge Discovery, ECML PKDD, 2021
Mandates: US National Science Foundation, US Department of Energy
DataStorm: Coupled, Continuous Simulations for Complex Urban Environment
H Behrens, KS Candan, X Chen, Y Garg, ML Li, X Li, S Liu, ML Sapino, ...
Transactions on Data Science, 2021
Mandates: US National Science Foundation, European Commission
DataStorm: A Data-Enabled System for End-to-End Disaster Planning and Response
HW Behrens, Y Garg
Technical Report, 2018
Mandates: US National Science Foundation
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