Alexander Rodríguez

University of Michigan–Ann Arbor — United States

Mathematics · Physical Sciences

17h-index1.2kcitations59works5.42yr avg
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Research Topics

COVID-19 epidemiological studies(15), Anomaly Detection Techniques and Applications(14), Data-Driven Disease Surveillance(14), Influenza Virus Research Studies(9), Time Series Analysis and Forecasting(9)

Publications54 total

Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction
arXiv (Cornell University)·2025Open Access
The effect of age on wound healing in the laser induced choroidal neovascularization model
Experimental Eye Research·2025Open Access
TRENDS IN SURVIVORSHIP CARE PLAN RECEIPT IN CANCER PATIENTS TREATED WITH PROTON VS NON-PROTON THERAPY
International Journal of Particle Therapy·2025Open Access
Evaluating the contribution of weather variables to machine learning forecasts of visceral leishmaniasis in Brazil
Environmental Research Health·2025· 1 citedOpen Access
Counterfactual Probabilistic Diffusion with Expert Models
arXiv (Cornell University)·2025Open Access
Adaptive Conformal Prediction Intervals Over Trajectory Ensembles
ArXiv.org·2025Open Access
Performative Time-Series Forecasting
2025Open Access
Neural Conformal Control for Time Series Forecasting
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 2 citedOpen Access
Neural Conformal Control for Time Series Forecasting
arXiv (Cornell University)·2024Open Access
Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
UNC Libraries·2024Open Access
Machine learning for data-centric epidemic forecasting
Nature Machine Intelligence·2024· 25 cited
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery
2024
Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
Nature Communications·2024· 46 citedOpen Access
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
arXiv (Cornell University)·2024· 1 citedOpen Access
OROFACIAL LESIONS BY SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2 TREATED VIA PHOTOBIOMODULATION BY LOW-LEVEL LASER THERAPY: CASE REPORT
International Journal of Oral and Maxillofacial Surgery·2023
Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations
2023· 6 citedOpen Access
Using neural networks to calibrate agent based models enables improved regional evidence for vaccine strategy and policy
Vaccine·2023· 1 cited
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
arXiv (Cornell University)·2023Open Access
Performative Time-Series Forecasting
arXiv (Cornell University)·2023Open Access
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
2023· 1 citedOpen Access
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Frequent Co-authors

B. Aditya Prakash(32), Harshavardhan Kamarthi(15), Bijaya Adhikari(13), Lingkai Kong(7), Ajitesh Srivastava(6), Naren Ramakrishnan(6), Christine L. O’Keefe(5), Jaroslaw P. Maciejewski(5), Pulak Agarwal(5), Zhiyuan Zhao(5), Chao Zhang(5), Anika Tabassum(4), Jiaming Cui(4), Javen Ho(4), Anil Vullikanti(4), Marcin W. Włodarski(3), Sarabeth M. Mathis(3), Alexander E. Webber(3), Tomás M. León(3), Erin L. Murray(3)