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Debaditya Chakraborty

University of Texas at San Antonio

20H指数
60论文数
1.7K被引数
收录论文 24
发表时间
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Advancing aquifer recharge forecasting through hybrid explainable AI and hydrological modeling通过混合可解释人工智能和水文建模推进含水层补给预测
errGeoscience Frontiers
IF8.9
err2026-04-15
err0
errOAAI
errChetan Shara; Hakan Başağaoğlu; Logan Schmidt; Icen Yoosefdoost; Adrienne Wootten; F. Paul Bertetti; M. Arif Şahinli; Arfan Arshad; Maryam Samimi; John M. Sharp; Changbing Yang; Ali Mirchi; Debaditya Chakraborty
err分享
err收藏
Institutional quality and risk depletion of natural resources: Evidence from explainable artificial intelligence modelling制度质量与自然资源风险耗竭：基于可解释人工智能建模的证据
errWorld Development
IF4.8
err2026-03-20
err0
PREAI
errNicolae Stef; Hakan Başağaoğlu; Icen Yoosefdoost; Sami Ben Jabeur; Debaditya Chakraborty
err分享
err收藏
Interpretation of glacier mass change within the Upper Yukon Watershed from GRACE using Explainable Automated Machine Learning Algorithms
errJOURNAL OF HYDROLOGY
IF6.3
err2025-04-01
err0
errOAAI
errDoumbia, Cheick; Rousseau, Alain N.; Basagaoglu, Hakan; Baraer, Michel; Chakraborty, Debaditya
err分享
err收藏
Efficacy of mitigation strategies for aquifer sustainability under climate change气候变化下缓解策略对含水层可持续性的影响
errNATURE SUSTAINABILITY
IF27.1
err2024-12-06
err0
errOAAI
errSharma, Chetan; Basagaoglu, Hakan; Yoosefdoost, Icen; Wootten, Adrienne; Chakraborty-Reddy, Debarati; Bertetti, F. Paul; Mirchi, Ali; Chakraborty, Debaditya
err分享
err收藏
Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence使用可解释的人工智能发现肝细胞癌的新型预后生物标志物
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-10-01
err1
errOAAI
errGutierrez-Chakraborty, Elizabeth; Chakraborty, Debaditya; Das, Debodipta; Bai, Yidong
err分享
err收藏
Design and evaluation of exoskeleton device for rehabilitation of index finger using nature-inspired algorithms
errAPPLIED INTELLIGENCE
IF3.5
err2024-08-09
err1
PREAI
errChakraborty, Debaditya; Rathi, Ayush; Singh, Ramanpreet
err分享
err收藏
Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable Artificial Intelligence
errCANCER COMMUNICATIONS
IF24.9
err2024-04-02
err0
errOAAI
errChakraborty, Debaditya; Gutierrez-Chakraborty, Elizabeth; Rodriguez-Aguayo, Cristian; Basagaoglu, Hakan; Lopez-Berestein, Gabriel; Amero, Paola
err分享
err收藏
Does institutional quality affect CO2 emissions? Evidence from explainable artificial intelligence models
errENERGY ECONOMICS
IF14.2
err2023-08-01
err18
PREAI
errStef, Nicolae; Basagaoglu, Hakan; Chakraborty, Debaditya; Ben Jabeur, Sami
err分享
err收藏
Unmanned Aerial Systems and Deep Learning for Safety and Health Activity Monitoring on Construction Sites用于建筑工地安全和健康活动监测的无人机系统和深度学习
errSENSORS
IF3.5
err2023-07-26
err9
errOAAI
errAkinsemoyin, Aliu; Awolusi, Ibukun; Chakraborty, Debaditya; Al-Bayati, Ahmed Jalil; Akanmu, Abiola
err分享
err收藏
A Hybrid TOPSIS-Structure Entropy Weight Group Subcontractor Selection Model for Large Construction Companies
errBUILDINGS
IF3.1
err2023-06-16
err0
errOAAI
errGao, Ce; Elzarka, Hazem; Yan, Hongyan; Chakraborty, Debaditya; Zhou, Chunmei
err分享
err收藏
Multiscale extrapolative learning algorithm for predictive soil moisture modeling & applications
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2023-03-01
err8
errOAAI
errChakraborty, Debaditya; Basagaoglu, Hakan; Alian, Sara; Mirchi, Ali; Moriasi, Daniel N.; Starks, Patrick J.; Verser, Jerry A.
err分享
err收藏
A Historical Review on the Computational Techniques for Mechanism Synthesis: Developments Up to 2022
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2022-11-02
err2
PREAI
errPathak, Vimal Kumar; Singh, Ramanpreet; Sharma, Abhishek; Kumar, Rakesh; Chakraborty, Debaditya
err分享
err收藏
A Review on Interpretable and Explainable Artificial Intelligence in Hydroclimatic Applications水文气候应用中可解释和可解释的人工智能综述
errWATER
IF3
err2022-04-11
err45
errOAAI
errBasagaoglu, Hakan; Chakraborty, Debaditya; Do Lago, Cesar; Gutierrez, Lilianna; Sahinli, Mehmet Arif; Giacomoni, Marcio; Furl, Chad; Mirchi, Ali; Moriasi, Daniel; Sengor, Sema Sevinc
err分享
err收藏
Using Artificial Neural Network (ANN) for Short-Range Prediction of Cotton Yield in Data-Scarce Regions使用人工神经网络 (ANN) 对数据稀缺地区的棉花产量进行短期预测
errAGRONOMY-BASEL
IF3.4
err2022-03-29
err12
errOAAI
errYildirim, Tugba; Moriasi, Daniel N.; Starks, Patrick J.; Chakraborty, Debaditya
err分享
err收藏
Explainable AI reveals new hydroclimatic insights for ecosystem-centric groundwater management可解释的AI揭示了以生态系统为中心的地下水管理的新水文气候见解
errENVIRONMENTAL RESEARCH LETTERS
IF5.6
err2021-10-28
err24
errOAAI
errChakraborty, Debaditya; Basagaoglu, Hakan; Gutierrez, Lilianna; Mirchi, Ali
err分享
err收藏
An explainable machine learning model to predict and elucidate the compressive behavior of high-performance concrete
errRESULTS IN ENGINEERING
IF7.9
err2021-09-01
err57
errOAAI
errChakraborty, Debaditya; Awolusi, Ibukun; Gutierrez, Lilianna
err分享
err收藏
Scenario-based prediction of climate change impacts on building cooling energy consumption with explainable artificial intelligence基于情景的可解释人工智能预测气候变化对建筑制冷能耗的影响
errAPPLIED ENERGY
IF11
err2021-06-01
err71
PREAI
errChakraborty, Debaditya; Alam, Arafat; Chaudhuri, Saptarshi; Basagaoglu, Hakan; Sulbaran, Tulio; Langar, Sandeep
err分享
err收藏
Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling ®
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2021-05-01
err81
PREAI
errChakraborty, Debaditya; Basagaoglu, Hakan; Winterle, James
err分享
err收藏
Reliable Evapotranspiration Predictions with a Probabilistic Machine Learning Framework
errWATER
IF3
err2021-02-22
err19
errOAAI
errBasagaoglu, Hakan; Chakraborty, Debaditya; Winterle, James
err分享
err收藏
A novel construction cost prediction model using hybrid natural and light gradient boosting基于混合自然和光照梯度提升的建筑成本预测模型
errADVANCED ENGINEERING INFORMATICS
IF9.9
err2020-10-01
err120
PREAI
errChakraborty, Debaditya; Elhegazy, Hosam; Elzarka, Hazem; Gutierrez, Lilianna
err分享
err收藏

研究方向

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合作学者
合作期刊
G
Gabriel Lopez‐Berestein
H 指数: 104 · 论文数: 1.3K
P
Patrick J. Starks
H 指数: 46 · 论文数: 213
Y
Yidong Bai
H 指数: 42 · 论文数: 119
A
Alain N. Rousseau
H 指数: 36 · 论文数: 386
A
Abhishek Sharma
H 指数: 34 · 论文数: 186
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