Alexander Rodríguez

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Forecasting Model

Data Mining And Knowledge Discovery

Clinically Relevant

International Workshop

Top Venues

Publications

Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2024)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR (2024)
José Escorcia-Gutierrez, Roosvel Soto-Díaz, Natasha Madera, Carlos Soto, Francisco Burgos-Flórez, Alexander Rodríguez, Romany Fouad Mansour
Computer-Aided Diagnosis for Tuberculosis Classification with Water Strider Optimization Algorithm. Comput. Syst. Sci. Eng. 46 (2) (2023)
Alexander Rodríguez
AI & Multi-agent Systems for Data-centric Epidemic Forecasting. AAMAS (2023)
Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2023)
Zhiyuan Zhao, Alexander Rodríguez, B. Aditya Prakash
Performative Time-Series Forecasting. CoRR (2023)
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
EINNs: Epidemiologically-Informed Neural Networks. AAAI (2023)
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
Differentiable Agent-based Epidemiology. AAMAS (2023)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. KDD (2023)
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
EINNs: Epidemiologically-Informed Neural Networks. CoRR (2022)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW (2022)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR (2022)
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
Differentiable Agent-based Epidemiology. CoRR (2022)
Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. ICLR (2022)
Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2022)
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
Data-Centric Epidemic Forecasting: A Survey. CoRR (2022)
Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash
Epidemic Forecasting with a Data-Centric Lens. KDD (2022)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR (2021)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR (2021)
Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD (2021)
Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. AAAI (2021)
Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash
Incorporating Expert Guidance in Epidemic Forecasting. CoRR (2021)
Alexander Rodríguez, Francisco Burgos-Flórez, José D. Posada, Eliana Cervera, Valtencir Zucolotto, Homero Sanjuán, Marco Sanjuan, Pedro J. Villalba
Electrochemical Immunosensor for the Quantification of S100B at Clinically Relevant Levels Using a Cysteamine Modified Surface. Sensors 21 (6) (2021)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI (2021)
Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. CoRR (2021)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS (2021)
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
Mapping Network States Using Connectivity Queries. CoRR (2020)
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
Mapping Network States using Connectivity Queries. IEEE BigData (2020)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR (2020)
Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash
NetReAct: Interactive Learning for Network Summarization. CoRR (2020)