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ORCIDPrithwish Chakraborty
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2020 – today
- 2024
[j10]Shruthi Chari, Oshani Seneviratne, Mohamed F. Ghalwash, Sola Shirai, Daniel M. Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness:
Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations. Semantic Web 15(4): 959-989 (2024)- 2023
- [j9]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:
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. Artif. Intell. Medicine 137: 102498 (2023) - [c25]Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner:
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD 2023: 5893-5894 - [i19]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:
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. CoRR abs/2302.05752 (2023) - [i18]Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian:
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR abs/2307.15715 (2023) - 2022
- [j8]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:
Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns 3(5): 100493 (2022) - [c24]Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner:
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD 2022: 4908-4909 - [i17]Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley A. Malin:
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. CoRR abs/2207.02445 (2022) - 2021
- [c23]Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness:
Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. AMIA 2021 - [c22]Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow:
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA 2021 - [c21]Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow:
A Comparative Time-to-Event Analysis Across Health Systems. AMIA 2021 - [c20]Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
Phenotypical ontology driven framework for multi-task learning. CHIL 2021: 183-192 - [c19]Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning:
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI 2021: 3529-3535 - [c18]Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner:
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 2021: 4159-4160 - [c17]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:
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. ML4H@NeurIPS 2021: 282-299 - [i16]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:
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR abs/2104.04377 (2021) - [i15]Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning:
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR abs/2105.07542 (2021) - [i14]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:
Disease Progression Modeling Workbench 360. CoRR abs/2106.13265 (2021) - [i13]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:
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. CoRR abs/2107.02359 (2021) - 2020
- [c16]Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney:
Tutorial on Human-Centered Explainability for Healthcare. KDD 2020: 3547-3548 - [i12]Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman:
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. CoRR abs/2003.10551 (2020) - [i11]Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. CoRR abs/2005.06434 (2020) - [i10]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:
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. CoRR abs/2007.12780 (2020) - [i9]Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR abs/2009.02188 (2020)
2010 – 2019
- 2019
- [c15]James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow:
eXITs: An Ensemble Approach for Imputing Missing EHR Data. ICHI 2019: 1-3 - [c14]Prithwish Chakraborty, Faisal Farooq:
A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR. KDD 2019: 1800-1808 - [i8]Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow:
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. CoRR abs/1911.06472 (2019) - 2018
- [j7]Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
What to know before forecasting the flu. PLoS Comput. Biol. 14(10) (2018) - [j6]Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan:
Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data 12(4): 45:1-45:22 (2018) - 2017
- [c13]Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon Hensley Alford, Faisal Farooq:
Data-driven Risk Characterization and Prediction of Renal Failure among Diabetic Type 2 Patients using Electronic Medical Records. AMIA 2017 - [c12]Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan:
Tracking Multiple Social Media for Stock Market Event Prediction. ICDM 2017: 16-30 - [c11]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD 2017: 1477-1485 - [i7]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR abs/1702.06663 (2017) - [i6]Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
A Framework for Evaluating Epidemic Forecasts. CoRR abs/1703.09828 (2017) - [i5]Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford, Faisal Farooq:
A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure. CoRR abs/1711.11022 (2017) - 2016
- [b1]Prithwish Chakraborty:
Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates. Virginia Tech, Blacksburg, VA, USA, 2016 - [c10]Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan:
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. CIKM 2016: 1129-1138 - [i4]Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan:
Generating Realistic Synthetic Population Datasets. CoRR abs/1602.06844 (2016) - [i3]Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan:
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. CoRR abs/1603.00106 (2016) - [i2]Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan:
Hierarchical Quickest Change Detection via Surrogates. CoRR abs/1603.09739 (2016) - [i1]Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan:
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR abs/1606.00411 (2016) - 2015
- [c9]Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan:
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. KDD 2015: 1285-1294 - [c8]Pejman Khadivi, Prithwish Chakraborty, Ravi Tandon, Naren Ramakrishnan:
Time series forecasting via noisy channel reversal. MLSP 2015: 1-6 - 2014
- [c7]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:
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM 2014: 262-270 - 2012
- [j5]Tapan Kumar Gandhi, Prithwish Chakraborty, Gourab Ghosh Roy, Bijaya K. Panigrahi:
Discrete harmony search based expert model for epileptic seizure detection in electroencephalography. Expert Syst. Appl. 39(4): 4055-4062 (2012) - [c6]Prithwish Chakraborty, Manish Marwah, Martin F. Arlitt, Naren Ramakrishnan:
Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble. AAAI 2012: 274-280 - [c5]Patrick Butler, Prithwish Chakraborty, Naren Ramakrishnan:
The Deshredder: A visual analytic approach to reconstructing shredded documents. IEEE VAST 2012: 113-122 - 2011
- [j4]Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham:
On convergence of the multi-objective particle swarm optimizers. Inf. Sci. 181(8): 1411-1425 (2011) - [j3]Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham:
Erratum to "On convergence of the multi-objective particle swarm optimizers" [Inform. Sci 181 (2011) 1411-1425]. Inf. Sci. 181(16): 3533 (2011) - 2010
- [j2]Gourab Ghosh Roy, Prithwish Chakraborty, Swagatam Das:
Designing fractional-order PIlambdaDµ controller using differential harmony search algorithm. Int. J. Bio Inspired Comput. 2(5): 303-309 (2010) - [c4]Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Václav Snásel, Gourab Ghosh Roy:
On convergence of multi-objective Particle Swarm Optimizers. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Gourab Ghosh Roy, Prithwish Chakraborty, Shi-Zheng Zhao, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Artificial foraging weeds for global numerical optimization over continuous spaces. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j1]Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Dhaval Jain, Ajith Abraham:
An Improved Harmony Search Algorithm with Differential Mutation Operator. Fundam. Informaticae 95(4): 401-426 (2009) - [c2]Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Bijaya K. Panigrahi:
On Population Variance and Explorative Power of Invasive Weed Optimization Algorithm. NaBIC 2009: 227-232 - [c1]Bijaya K. Panigrahi, Manas Kumar Mallick, Gourab Ghosh Roy, Prithwish Chakraborty:
On Optimal Feature Selection using Modified Harmony Search for Power Quality Disturbance Classification. NaBIC 2009: 1355-1360
Coauthor Index
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last updated on 2024-10-25 20:12 CEST by the dblp team
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