On Population Variance and Explorative Power of Invasive Weed Optimization Algorithm. - Prithwish Chakraborty; Gourab Ghosh Roy; Swagatam Das; Bijaya K. Panigrahi (NaBIC, 2009)

On Optimal Feature Selection using Modified Harmony Search for Power Quality Disturbance Classification. - Bijaya K. Panigrahi; Manas Kumar Mallick; Gourab Ghosh Roy; Prithwish Chakraborty (NaBIC, 2009)

An Improved Harmony Search Algorithm with Differential Mutation Operator. - Prithwish Chakraborty; Gourab Ghosh Roy; Swagatam Das; Dhaval Jain; Ajith Abraham (Fundam. Informaticae, 2009)

On convergence of multi-objective Particle Swarm Optimizers. - Prithwish Chakraborty; Swagatam Das; Ajith Abraham; Václav Snásel; Gourab Ghosh Roy (IEEE Congress on Evolutionary Computation, 2010)

Artificial foraging weeds for global numerical optimization over continuous spaces. - Gourab Ghosh Roy; Prithwish Chakraborty; Shi-Zheng Zhao; Swagatam Das; Ponnuthurai Nagaratnam Suganthan (IEEE Congress on Evolutionary Computation, 2010)

Designing fractional-order PIlambdaDµ controller using differential harmony search algorithm. - Gourab Ghosh Roy; Prithwish Chakraborty; Swagatam Das (Int. J. Bio Inspired Comput., 2010)

On convergence of the multi-objective particle swarm optimizers. - Prithwish Chakraborty; Swagatam Das; Gourab Ghosh Roy; Ajith Abraham (Inf. Sci., 2011)

Erratum to "On convergence of the multi-objective particle swarm optimizers" [Inform. Sci 181 (2011) 1411-1425]. - Prithwish Chakraborty; Swagatam Das; Gourab Ghosh Roy; Ajith Abraham (Inf. Sci., 2011)

Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble. - Prithwish Chakraborty; Manish Marwah; Martin F. Arlitt; Naren Ramakrishnan (AAAI, 2012)

The Deshredder: A visual analytic approach to reconstructing shredded documents. - Patrick Butler; Prithwish Chakraborty; Naren Ramakrishnan (IEEE VAST, 2012)

Discrete harmony search based expert model for epileptic seizure detection in electroencephalography. - Tapan Kumar Gandhi; Prithwish Chakraborty; Gourab Ghosh Roy; Bijaya K. Panigrahi (Expert Syst. Appl., 2012)

Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. - 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 (SDM, 2014)

Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. - Zheng Wang 011; Prithwish Chakraborty; Sumiko R. Mekaru; John S. Brownstein; Jieping Ye; Naren Ramakrishnan (KDD, 2015)

Time series forecasting via noisy channel reversal. - Pejman Khadivi; Prithwish Chakraborty; Ravi Tandon; Naren Ramakrishnan (MLSP, 2015)

Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. - Saurav Ghosh; Prithwish Chakraborty; Emily Cohn; John S. Brownstein; Naren Ramakrishnan (CIKM, 2016)

Hierarchical Quickest Change Detection via Surrogates. - Prithwish Chakraborty; Sathappan Muthiah; Ravi Tandon; Naren Ramakrishnan (CoRR, 2016)

Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. - Saurav Ghosh; Prithwish Chakraborty; Emily Cohn; John S. Brownstein; Naren Ramakrishnan (CoRR, 2016)

Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. - Saurav Ghosh; Prithwish Chakraborty; Elaine O. Nsoesie; Emily Cohn; Sumiko R. Mekaru; John S. Brownstein; Naren Ramakrishnan (CoRR, 2016)

Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates. - Prithwish Chakraborty (2016)

Data-driven Risk Characterization and Prediction of Renal Failure among Diabetic Type 2 Patients using Electronic Medical Records. - Prithwish Chakraborty; Vishrawas Gopalakrishnan; Sharon Hensley Alford; Faisal Farooq (AMIA, 2017)

Tracking Multiple Social Media for Stock Market Event Prediction. - Fang Jin; Wei Wang 064; Prithwish Chakraborty; Nathan Self; Feng Chen 001; Naren Ramakrishnan (ICDM, 2017)

GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. - Saurav Ghosh; Prithwish Chakraborty; Bryan L. Lewis; Maimuna S. Majumder; Emily Cohn; John S. Brownstein; Madhav V. Marathe; Naren Ramakrishnan (KDD, 2017)

Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. - Saurav Ghosh; Prithwish Chakraborty; Bryan L. Lewis; Maimuna S. Majumder; Emily Cohn; John S. Brownstein; Madhav V. Marathe; Naren Ramakrishnan (CoRR, 2017)

A Framework for Evaluating Epidemic Forecasts. - Farzaneh Sadat Tabataba; Prithwish Chakraborty; Naren Ramakrishnan; Srinivasan Venkatramanan; Jiangzhuo Chen; Bryan L. Lewis; Madhav V. Marathe (CoRR, 2017)

A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure. - Prithwish Chakraborty; Vishrawas Gopalakrishnan; Sharon M. H. Alford; Faisal Farooq (CoRR, 2017)

What to know before forecasting the flu. - Prithwish Chakraborty; Bryan L. Lewis; Stephen G. Eubank; John S. Brownstein; Madhav V. Marathe; Naren Ramakrishnan (PLoS Comput. Biol., 2018)

Generating Realistic Synthetic Population Datasets. - Hao Wu 041; Yue Ning 001; Prithwish Chakraborty; Jilles Vreeken; Nikolaj Tatti; Naren Ramakrishnan (ACM Trans. Knowl. Discov. Data, 2018)

eXITs: An Ensemble Approach for Imputing Missing EHR Data. - James V. Codella; Hillol Sarker; Prithwish Chakraborty; Mohamed F. Ghalwash; Zijun Yao 001; Daby Sow (ICHI, 2019)

A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR. - Prithwish Chakraborty; Faisal Farooq (KDD, 2019)

Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. - Prithwish Chakraborty; Fei Wang 001; Jianying Hu; Daby Sow (CoRR, 2019)

Tutorial on Human-Centered Explainability for Healthcare. - Prithwish Chakraborty; Bum Chul Kwon; Sanjoy Dey; Amit Dhurandhar; Daniel M. Gruen; Kenney Ng; Daby Sow; Kush R. Varshney (KDD, 2020)

G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. - Rui Li; Zach Shahn; Jun Li 027; Mingyu Lu; Prithwish Chakraborty; Daby Sow; Mohamed F. Ghalwash; Li-Wei H. Lehman (CoRR, 2020)

ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. - Mohamed F. Ghalwash; Zijun Yao 001; Prithwish Chakraborty; James V. Codella; Daby Sow (CoRR, 2020)

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. - 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; et al. (CoRR, 2020)

Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. - Shruthi Chari; Prithwish Chakraborty; Oshani Seneviratne; Mohamed F. Ghalwash; Daniel M. Gruen; Daby Sow; Deborah L. McGuinness (AMIA, 2021)

Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. - Sanjoy Dey; Aritra Bose; Subrata Saha; Prithwish Chakraborty; Mohamed F. Ghalwash; Filippo Utro; Aldo Guzmán-Sáenz; Kenney Ng; Jianying Hu; Laxmi Parida; Daby Sow (AMIA, 2021)

A Comparative Time-to-Event Analysis Across Health Systems. - Mohamed F. Ghalwash; Prithwish Chakraborty; Akira Koseki; Hiroki Yanagisawa; Toshiya Iwamori; Ray Tokumasu; Masaki Makino; Ryosuke Yanagiya; Atsushi Suzuki; Michiharu Kudo; Daby Sow (AMIA, 2021)

Phenotypical ontology driven framework for multi-task learning. - Mohamed F. Ghalwash; Zijun Yao 001; Prithwish Chakraborty; James V. Codella; Daby Sow (CHIL, 2021)

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. - Chang Lu; Chandan K. Reddy; Prithwish Chakraborty; Samantha Kleinberg; Yue Ning 001 (IJCAI, 2021)

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. - Fei Wang 001; Prithwish Chakraborty; Tao Xu; Pei-Yun Sabrina Hsueh; Xudong Sun 014; Gregor Stiglic; Gracy Crane; Jiang Bian 001; Laleh Haghverdi; Lixia Yao; Florian Buettner 001 (KDD, 2021)

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. - Rui Li; Stephanie M. Hu; Mingyu Lu; Yuria Utsumi; Prithwish Chakraborty; Daby M. Sow; Piyush Madan; Jun Li 027; Mohamed F. Ghalwash; Zach Shahn; Li-Wei H. Lehman (ML4H@NeurIPS, 2021)

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. - Prithwish Chakraborty; James V. Codella; Piyush Madan; Ying Li 053; Hu Huang 004; Yoonyoung Park; Chao Yan 004; Ziqi Zhang 005; Cheng Gao; Steve Nyemba; Xu Min; Sanjib Basak; et al. (CoRR, 2021)

Disease Progression Modeling Workbench 360. - Parthasarathy Suryanarayanan; Prithwish Chakraborty; Piyush Madan; Kibichii Bore; William Ogallo; Rachita Chandra; Mohamed F. Ghalwash; Italo Buleje; Sekou L. Remy; Shilpa Mahatma; Pablo Meyer 001; Jianying Hu (CoRR, 2021)

Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. - 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 (CoRR, 2021)

Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. - Tao Xu; Fei Wang 001; Prithwish Chakraborty; Pei-Yun Sabrina Hsueh; Gregor Stiglic; Jiang Bian 001; Lixia Yao; Alexej Gossmann; Florian Buettner 001 (KDD, 2022)

Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. - Steve Nyemba; Chao Yan 004; Ziqi Zhang 005; Amol Rajmane; Pablo Meyer 001; Prithwish Chakraborty; Bradley A. Malin (CoRR, 2022)

Human-centered explainability for life sciences, healthcare, and medical informatics. - 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 001 (Patterns, 2022)

Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. - Tao Xu; Fei Wang 001; Prithwish Chakraborty; Pei-Yun Sabrina Hsueh; Gregor Stiglic; Jiang Bian 001; Lixia Yao; Alexej Gossmann; Florian Buettner 001 (KDD, 2023)

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. - Gregor Stiglic; Leon Kopitar; Lucija Gosak; Primoz Kocbek; Zhe He 001; Prithwish Chakraborty; Pablo Meyer 001; Jiang Bian 001 (CoRR, 2023)

Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. - Shruthi Chari; Prasant Acharya; Daniel M. Gruen; Olivia Zhang; Elif K. Eyigöz; Mohamed F. Ghalwash; Oshani Seneviratne; Fernando J. Suarez Saiz; Pablo Meyer 001; Prithwish Chakraborty; Deborah L. McGuinness (Artif. Intell. Medicine, 2023)

Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations. - Shruthi Chari; Oshani Seneviratne; Mohamed F. Ghalwash; Sola Shirai; Daniel M. Gruen; Pablo Meyer 001; Prithwish Chakraborty; Deborah L. McGuinness (Semantic Web, 2024)

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems. - Shruthi Chari; Oshani Seneviratne; Prithwish Chakraborty; Pablo Meyer 001; Deborah L. McGuinness (CoRR, 2025)