Theo dõi
Harsh Parikh
Harsh Parikh
Johns Hopkins University
Email được xác minh tại jh.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Causal relational learning
B Salimi, H Parikh, M Kayali, L Getoor, S Roy, D Suciu
Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020
532020
Validating causal inference methods
H Parikh, C Varjao, L Xu, ET Tchetgen
International conference on machine learning, 17346-17358, 2022
422022
MALTS: Matching After Learning to Stretch
H Parikh, A Volfovsky, C Rudin
Journal of Machine Learning Research 23 (240), 2022
38*2022
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study
H Parikh, K Hoffman, H Sun, SF Zafar, W Ge, J Jing, L Liu, J Sun, A Struck, ...
The Lancet Digital Health 5 (8), e495-e502, 2023
192023
Non‐invasive platform to estimate fasting blood glucose levels from salivary electrochemical parameters
S Malik, H Parikh, N Shah, S Anand, S Gupta
Healthcare Technology Letters 6 (4), 87-91, 2019
152019
An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNA
S Dutta, S Madan, H Parikh, D Sundar
Bmc Genomics 17, 97-107, 2016
122016
An Application of Matching After Learning To Stretch (MALTS)
H Parikh, C Rudin, A Volfovsky
Observational Studies, 118-130, 2019
92019
Computational prediction of origin of replication in bacterial genomes using correlated entropy measure (CEM)
H Parikh, A Singh, A Krishnamachari, K Shah
Biosystems 128, 19-25, 2015
82015
Investigating the" wisdom of crowds" at scale
A Shankar Mysore, VS Yaligar, I Arrieta Ibarra, C Simoiu, S Goel, R Arvind, ...
Adjunct Proceedings of the 28th Annual ACM Symposium on User Interface …, 2015
42015
Who are we missing? a principled approach to characterizing the underrepresented population
H Parikh, R Ross, E Stuart, K Rudolph
arXiv preprint arXiv:2401.14512, 2024
32024
A double machine learning approach to combining experimental and observational data
H Parikh, M Morucci, V Orlandi, S Roy, C Rudin, A Volfovsky
arXiv preprint arXiv:2307.01449, 2023
32023
Variable importance matching for causal inference
Q Lanners, H Parikh, A Volfovsky, C Rudin, D Page
Uncertainty in Artificial Intelligence, 1174-1184, 2023
3*2023
Heterogeneous Treatment Effects in Social Networks
A Gilad, H Parikh, S Roy, B Salimi
arXiv preprint arXiv:2105.10591, 2021
32021
Safe and interpretable estimation of optimal treatment regimes
H Parikh, QM Lanners, Z Akras, S Zafar, MB Westover, C Rudin, ...
International Conference on Artificial Intelligence and Statistics, 2134-2142, 2024
2*2024
Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects
S Baharan Khatami, H Parikh, H Chen, S Roy, B Salimi
arXiv e-prints, arXiv: 2403.11332, 2024
2*2024
How many patients do you need? Investigating trial designs for anti‐seizure treatment in acute brain injury patients
H Parikh, H Sun, R Amerineni, ES Rosenthal, A Volfovsky, C Rudin, ...
Annals of Clinical and Translational Neurology 11 (7), 1681-1690, 2024
12024
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
S Katta, H Parikh, C Rudin, A Volfovsky
International Conference on Artificial Intelligence and Statistics, 3340-3348, 2024
12024
Towards Generalizing Inferences from Trials to Target Populations
MY Huang, H Parikh
Harvard Data Science Review 6 (4), 2024
12024
Gargling affect on salivary electrochemical parameters to predict blood glucose
S Malik, S Gupta, H Parikh, S Anand
2016 International Conference on Computational Techniques in Information and …, 2016
12016
Breast Cancer and Income Loss in Denmark: Heterogeneous Outcomes and Longitudinal Effects
E Johnson, H Parikh, K Olsen, A Chang, L Sopina
2024
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