Prithwish Chakraborty

57 papers A* 10A 2B 2Misc 4Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MetaExplainer In Action: An Overview of a Framework to Generate Multi-Type User-Centered Explanations. ISWC (Industry/Doctoral Consortium/Posters/Demos) Shruthi Chari, Oshani Seneviratne, Prithwish Chakraborty, Pablo Meyer, Deborah L. McGuinness
2025	J	`jnl`	MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems. CoRR Shruthi Chari, Oshani Seneviratne, Prithwish Chakraborty, Pablo Meyer, Deborah L. McGuinness
2024	J	`jnl`	Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations. Semantic Web Shruthi Chari, Oshani Seneviratne, Mohamed F. Ghalwash, Sola Shirai, Daniel M. Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness
2023	J	`jnl`	Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
2023	J	`jnl`	Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. Artif. Intell. Medicine Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness
2023	J	`jnl`	Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. CoRR Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness
2023	A*	`conf`	Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2022	J	`jnl`	Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. CoRR Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley A. Malin
2022	J	`jnl`	Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
2022	A*	`conf`	Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2021	Misc	`conf`	A Comparative Time-to-Event Analysis Across Health Systems. AMIA Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow
2021	J	`jnl`	Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed F. Ghalwash, Zach Shahn, Parthasarathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin
2021	A*	`conf`	Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021	J	`jnl`	Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021	J	`jnl`	Disease Progression Modeling Workbench 360. CoRR Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan, Kibichii Bore, William Ogallo, Rachita Chandra, Mohamed F. Ghalwash, Italo Buleje, Sekou L. Remy, Shilpa Mahatma, Pablo Meyer, Jianying Hu
2021	—	`conf`	G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. ML4H@NeurIPS Rui Li, Stephanie M. Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman
2021	Misc	`conf`	Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow
2021	A*	`conf`	KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. KDD Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner
2021	J	`jnl`	Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. CoRR Shruthi Chari, Prithwish Chakraborty, Mohamed F. Ghalwash, Oshani Seneviratne, Elif K. Eyigöz, Daniel M. Gruen, Fernando J. Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness
2021	—	`conf`	Phenotypical ontology driven framework for multi-task learning. CHIL Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2021	Misc	`conf`	Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. AMIA Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness
2020	J	`jnl`	A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. CoRR Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James V. Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow
2020	J	`jnl`	G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. CoRR Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman
2020	J	`jnl`	ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. CoRR Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020	J	`jnl`	Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020	A*	`conf`	Tutorial on Human-Centered Explainability for Healthcare. KDD Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
2019	A*	`conf`	A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR. KDD Prithwish Chakraborty, Faisal Farooq
2019	J	`jnl`	Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. CoRR Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow
2019	—	`conf`	eXITs: An Ensemble Approach for Imputing Missing EHR Data. ICHI James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow
2018	J	`jnl`	Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2018	J	`jnl`	What to know before forecasting the flu. PLoS Comput. Biol. Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
2017	J	`jnl`	A Framework for Evaluating Epidemic Forecasts. CoRR Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
2017	J	`jnl`	A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure. CoRR Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford, Faisal Farooq
2017	Misc	`conf`	Data-driven Risk Characterization and Prediction of Renal Failure among Diabetic Type 2 Patients using Electronic Medical Records. AMIA Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon Hensley Alford, Faisal Farooq
2017	A*	`conf`	GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
2017	J	`jnl`	Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
2017	A*	`conf`	Tracking Multiple Social Media for Stock Market Event Prediction. ICDM Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan
2016	A	`conf`	Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. CIKM Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
2016	—	`—`	Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates. Prithwish Chakraborty
2016	J	`jnl`	Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. CoRR Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
2016	J	`jnl`	Generating Realistic Synthetic Population Datasets. CoRR Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
2016	J	`jnl`	Hierarchical Quickest Change Detection via Surrogates. CoRR Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan
2016	J	`jnl`	Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan
2015	A*	`conf`	Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. KDD Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
2015	—	`conf`	Time series forecasting via noisy channel reversal. MLSP Pejman Khadivi, Prithwish Chakraborty, Ravi Tandon, Naren Ramakrishnan
2014	A	`conf`	Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
2012	J	`jnl`	Discrete harmony search based expert model for epileptic seizure detection in electroencephalography. Expert Syst. Appl. Tapan Kumar Gandhi, Prithwish Chakraborty, Gourab Ghosh Roy, Bijaya K. Panigrahi
2012	A*	`conf`	Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble. AAAI Prithwish Chakraborty, Manish Marwah, Martin F. Arlitt, Naren Ramakrishnan
2012	—	`conf`	The Deshredder: A visual analytic approach to reconstructing shredded documents. IEEE VAST Patrick Butler, Prithwish Chakraborty, Naren Ramakrishnan
2011	J	`jnl`	Erratum to "On convergence of the multi-objective particle swarm optimizers" [Inform. Sci 181 (2011) 1411-1425]. Inf. Sci. Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham
2011	J	`jnl`	On convergence of the multi-objective particle swarm optimizers. Inf. Sci. Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham
2010	B	`conf`	Artificial foraging weeds for global numerical optimization over continuous spaces. IEEE Congress on Evolutionary Computation Gourab Ghosh Roy, Prithwish Chakraborty, Shi-Zheng Zhao, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
2010	J	`jnl`	Designing fractional-order PI Int. J. Bio Inspired Comput. Gourab Ghosh Roy, Prithwish Chakraborty, Swagatam Das
2010	B	`conf`	On convergence of multi-objective Particle Swarm Optimizers. IEEE Congress on Evolutionary Computation Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Václav Snásel, Gourab Ghosh Roy
2009	J	`jnl`	An Improved Harmony Search Algorithm with Differential Mutation Operator. Fundam. Informaticae Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Dhaval Jain, Ajith Abraham
2009	—	`conf`	On Optimal Feature Selection using Modified Harmony Search for Power Quality Disturbance Classification. NaBIC Bijaya K. Panigrahi, Manas Kumar Mallick, Gourab Ghosh Roy, Prithwish Chakraborty
2009	—	`conf`	On Population Variance and Explorative Power of Invasive Weed Optimization Algorithm. NaBIC Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Bijaya K. Panigrahi