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ORCIDPrzemyslaw J. Porebski
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2020 – today
- 2023
[j4]Parantapa Bhattacharya
, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe:
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37(1): 4-27 (2023)- [c7]Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. AAAI 2023: 15647-15653 - [c6]Galen Harrison, Przemyslaw J. Porebski, Jiangzhuo Chen, Mandy L. Wilson, Henning S. Mortveit, Parantapa Bhattacharya, Dawen Xie, Stefan Hoops, Anil Vullikanti, Li Xiong, James Joshi, Madhav V. Marathe:
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA 2023: 23-33 - [c5]Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, Nihesh Rathod, Rajesh Sundaresan, Sarath Yasodharan, Kantha Rao Bhimala, Vidyadhar Mudkavi, Gopal Krishna Patra, Siva Athreya:
A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. WSC 2023: 994-1005 - 2022
- [c4]Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. IEEE Big Data 2022: 1594-1603 - 2021
- [j3]Adam Czyzewski, Faustyna Krawiec, Dariusz Brzezinski, Przemyslaw J. Porebski, Wladek Minor:
Detecting anomalies in X-ray diffraction images using convolutional neural networks. Expert Syst. Appl. 174: 114740 (2021) - [j2]Dariusz Brzezinski, Przemyslaw J. Porebski, Marcin Kowiel, Joanna M. Macnar, Wladek Minor:
Recognizing and validating ligands with CheckMyBlob. Nucleic Acids Res. 49(Webserver-Issue): 86-92 (2021) - [c3]Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe:
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 2021: 1566-1574 - [c2]Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe:
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. KDD 2021: 2505-2513 - 2020
- [c1]Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw J. Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav V. Marathe:
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData 2020: 1380-1387
2010 – 2019
- 2019
- [j1]Marcin Kowiel, Dariusz Brzezinski, Przemyslaw J. Porebski, Ivan G. Shabalin, Mariusz Jaskolski, Wladek Minor:
Automatic recognition of ligands in electron density by machine learning. Bioinform. 35(3): 452-461 (2019)
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