Przemyslaw J. Porebski

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Detecting Anomalies

Rainfall Runoff

Automatic Recognition

Top Venues

Nucleic Acids Res.

Expert Syst. Appl.

Publications

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) (2023)
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)
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)
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)
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. Big Data (2022)
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 (2021)
Dariusz Brzezinski, Przemyslaw J. Porebski, Marcin Kowiel, Joanna M. Macnar, Wladek Minor
Recognizing and validating ligands with CheckMyBlob. Nucleic Acids Res. 49 (Webserver-Issue) (2021)
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) (2019)