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Ashish M. Chaudhari
Ashish M. Chaudhari
Data Scientist, Philips Research North America
在 mit.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Descriptive models of sequential decisions in engineering design: An experimental study
AM Chaudhari, I Bilionis, JH Panchal
Journal of Mechanical Design 142 (8), 081704, 2020
302020
Analyzing participant behaviors in design crowdsourcing contests using causal inference on field data
AM Chaudhari, Z Sha, JH Panchal
Journal of Mechanical Design 140 (9), 091401, 2018
222018
An experimental study of human decisions in sequential information acquisition in design: Impact of cost and task complexity
AM Chaudhari, JH Panchal
Research into Design for a Connected World: Proceedings of ICoRD 2019 Volume …, 2019
182019
Similarity in engineering design: A knowledge-based approach
AM Chaudhari, I Bilionis, JH Panchal
International design engineering technical conferences and computers and …, 2019
152019
Modeling participation behaviors in design crowdsourcing using a bipartite network-based approach
Z Sha, AM Chaudhari, JH Panchal
Journal of Computing and Information Science in Engineering 19 (3), 031010, 2019
122019
Designing representative model worlds to study socio-technical phenomena: A case study of communication patterns in engineering systems design
AM Chaudhari, EL Gralla, Z Szajnfarber, PT Grogan, JH Panchal
Journal of Mechanical Design 142 (12), 121403, 2020
102020
Evaluating designer learning and performance in interactive deep generative design
AM Chaudhari, D Selva
Journal of Mechanical Design 145 (5), 051403, 2023
82023
MIMIC-IV-ECG: diagnostic electrocardiogram matched subset (version 1.0)
B Gow, T Pollard, LA Nathanson, A Johnson, B Moody, C Fernandes, ...
PhysioNet, 2023
82023
Quantifying individuals’ theory-based knowledge using probabilistic causal graphs: A bayesian hierarchical approach
A Hans, AM Chaudhari, I Bilionis, JH Panchal
International Design Engineering Technical Conferences and Computers and …, 2020
62020
Supporting designer learning and performance in design space exploration: a goal-setting approach
AM Chaudhari, R Suresh Kumar, D Selva
International Design Engineering Technical Conferences and Computers and …, 2021
52021
Co-evolution of communication and system performance in engineering systems design: a stochastic network-behavior dynamics model
AM Chaudhari, EL Gralla, Z Szajnfarber, JH Panchal
Journal of Mechanical Design 144 (4), 041706, 2022
42022
How do designers choose among multiple noisy information sources in engineering design optimization? an experimental study
AM Chaudhari, I Bilionis, JH Panchal
International Design Engineering Technical Conferences and Computers and …, 2018
42018
Crowdsourcing for engineering design: theoretical and experimental studies
AM Chaudhari
Purdue University, 2017
42017
Using contests for engineering systems design: A study of auctions and fixed-prize tournaments
AM Chaudhari, JD Thekinen, JH Panchal
DS 84: Proceedings of the DESIGN 2016 14th International Design Conference …, 2016
32016
Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence Compared to Human Readers
JA Slivnick, NT Gessert, JI Cotella, L Oliveira, N Pezzotti, P Eslami, ...
Journal of the American Society of Echocardiography, 2024
22024
A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge
A Hans, AM Chaudhari, I Bilionis, JH Panchal
Journal of Computing and Information Science in Engineering 23 (3), 031011, 2023
22023
Computing without revealing: A cryptographic approach to eprocurement
SC Chaduvula, AM Chaudhari, JH Panchal, MJ Atallah
Acquisition Research Program, 2018
22018
MIMIC-IV-ECHO: Echocardiogram Matched Subset
B Gow, T Pollard, N Greenbaum, B Moody, A Johnson, E Herbst, ...
PhysioNet https://doi. org/10.13026/EF48-V217, 0
1
MIMIC-IV-ECG & MIMIC-IV-ECHO: DETECTION OF REGIONAL WALL MOTION ABNORMALITIES FROM ELECTROCARDIOGRAM USING DEEP LEARNING
T Carbonati, P Eslami, A Chaudhari, E Herbst, L Fiorina, P Porquet, ...
Journal of the American College of Cardiology 83 (13_Supplement), 1172-1172, 2024
2024
Deep neural networks detect regional wall motion abnormalities and preclinical cardiovascular disease from 12-lead ECGs
T Carbonati, P Eslami, JW Waks, L Fiorina, AM Chaudhari, C Henry, ...
medRxiv, 2024.05. 31.24308304, 2024
2024
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