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Alexander Rodríguez
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Journal Articles
- 2023
- [j2]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): 1337-1353 (2023) - 2021
- [j1]Alexander Rodríguez
, Francisco Burgos-Flórez, José D. Posada
, Eliana Cervera, Valtencir Zucolotto
, Homero Sanjuán
, Marco E. Sanjuan, Pedro J. Villalba
:
Electrochemical Immunosensor for the Quantification of S100B at Clinically Relevant Levels Using a Cysteamine Modified Surface. Sensors 21(6): 1929 (2021)
Conference and Workshop Papers
- 2023
- [c14]Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. AAAI 2023: 14453-14460 - [c13]Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar:
Differentiable Agent-based Epidemiology. AAMAS 2023: 1848-1857 - [c12]Alexander Rodríguez:
AI & Multi-agent Systems for Data-centric Epidemic Forecasting. AAMAS 2023: 2943-2945 - [c11]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: 1057-1072 - [c10]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: 5847-5848 - 2022
- [c9]Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash:
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. ICLR 2022 - [c8]Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash:
Epidemic Forecasting with a Data-Centric Lens. KDD 2022: 4822-4823 - [c7]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: 4850-4851 - [c6]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW 2022: 3174-3185 - 2021
- [c5]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: 4855-4863 - [c4]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: 15393-15400 - [c3]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: 4104-4105 - [c2]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS 2021: 19796-19807 - 2020
- [c1]Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States using Connectivity Queries. IEEE BigData 2020: 778-787
Informal and Other Publications
- 2024
- [i13]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR abs/2407.02641 (2024) - 2023
- [i12]Zhiyuan Zhao, Alexander Rodríguez, B. Aditya Prakash:
Performative Time-Series Forecasting. CoRR abs/2310.06077 (2023) - 2022
- [i11]Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. CoRR abs/2202.10446 (2022) - [i10]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR abs/2206.07940 (2022) - [i9]Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash:
Data-Centric Epidemic Forecasting: A Survey. CoRR abs/2207.09370 (2022) - [i8]Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar:
Differentiable Agent-based Epidemiology. CoRR abs/2207.09714 (2022) - 2021
- [i7]Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash:
Incorporating Expert Guidance in Epidemic Forecasting. CoRR abs/2101.10247 (2021) - [i6]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR abs/2106.03904 (2021) - [i5]Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash:
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. CoRR abs/2106.04420 (2021) - [i4]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR abs/2109.07438 (2021) - 2020
- [i3]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 abs/2009.11407 (2020) - [i2]Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States Using Connectivity Queries. CoRR abs/2012.03413 (2020) - [i1]Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash:
NetReAct: Interactive Learning for Network Summarization. CoRR abs/2012.11821 (2020)
Coauthor Index
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