| Fecha de publicación | Título | Autor(es) |
| 2024 | Addressing class imbalance problems in data-driven rainfall-runoff modelling | Vilaseca, Federico; Chreties, Christian; Castro, Alberto; Gorgoglione, Angela |
| 2024 | AI is a viable alternative to high throughput screening: a 318‑target study | The Atomwise AIMS Program; Aguilera, Elena |
| 2023 | An analysis of satellite-based Machine Learning models to estimate global solar irradiance at a horizontal plane. | Iturbide, Paula; Alonso-Suárez, Rodrigo; Ronchetti, Franco |
| 2023 | Artificial intelligence for image analysis in oral squamous cell carcinoma: a review | Pereira-Prado, Vanesa; Silveira, Felipe Martins; Sicco, Estefanía; Hochmann Valls, Jimena; Isiordia-Espinoza, Mario Alberto; González González, Rogelio; Pandiar, Deepak; Bologna-Molina, Ronell |
| 2023 | Audio-based classroom activity detection for primary school lessons | Ríos, Braulio |
| 2025 | AURORA : Monitoreo bioacústico inteligente con clasificación de sonidos en tiempo real. | Azziz, Julia; Lema, Josefina |
| 2018 | Binary matrix factorization via dictionary learning | Ramírez, Ignacio |
| 2024 | Deep image generative modeling and statistical testing for industrial anomaly detection | Tailanián, Matías |
| 2022 | Detección temprana del riesgo escolar. Predicción de trayectorias de rezago en la educación primaria en Uruguay mediante técnicas de machine learning | Cardozo Politi, Santiago; Silveira, Adrián; Fonseca, Bruno |
| 2022 | Determination of adsorption energies from DFT databases using machine learning techniques. | Arsuaga, José I.; Torres, Ana I. |
| 2024 | Enhancing environmental data imputation: A physically-constrained machine learning framework | Pastorini, Marcos; Rodríguez, Rafael; Etcheverry, Lorena; Castro, Alberto; Gorgoglione, Angela |
| 2017 | Ensemble-learning approaches for network security and anomaly detection | Vanerio, Juan Martín; Casas, Pedro |
| 2023 | Estrategias de machine learning para el análisis de historias clínicas electrónicas para la detección precoz de enfermedades raras | Rolando González, Matías |
| 2018 | ForestHash : semantic hashing with shallow random forests and tiny convolutional networks | Sapiro, Guillermo; Bronstein, Alex; Lezama, José; Qiu, Qiang |
| 2020 | Fraud detection in electric power distribution : an approach that maximizes the economic return. | Massaferro Saquieres, Pablo; Di Martino, Matías; Fernández, Alicia |
| 2022 | Gene function prediction in five model eukaryotes exclusively based on gene relative location through machine learning | Pazos Obregón, Flavio; Silvera, Diego; Cantera, Rafael; Yankilevich, Patricio; Guerberoff, Gustavo; Soto, Pablo |
| 2022 | GROWS - Improving decentralized resource allocation in wireless networks through graph neural networks | Randall, Martín; Belzarena, Pablo; Larroca, Federico; Casas, Pedro |
| 2024 | Harnessing technology for livestock research : An online sheep behavior monitoring system. | Cabrera, Varinia; Delbuggio, Andrea; Cardoso, Hernán; Fraga, Diego; Gómez, Alvaro; Pedemonte, Martín; Ungerfeld, Rodolfo; Oreggioni, Julián |
| 2022 | Information theory approaches to improve glioma diagnostic workflows in surgical neuropathology | Cevik, Lokman; Vázquez Landrove, Marilyn; Aslan, Mehmet Tahir; Khammad, Vasilii; Garagorry Guerra, Francisco José; Cabello Izquierdo, Yolanda; Wang, Wesley; Zhao, Jing; Becker, Aline Paixao; Czeisler, Catherine; Rendeiro, Anne Costa; Véras, Lucas Luis Sousa; Zanon, Maicon Fernando; Reis, Rui Manuel; Matsushita, Marcus de Medeiros; Ozduman, Koray; Pamir, M. Necmettin; Ersen Danyeli, Ayca; Pearce, Thomas; Felicella, Michelle; Eschbacher, Jennifer; Arakaki, Naomi; Martinetto, Horacio; Parwani, Anil; Thomas, Diana L.; Otero, José Javier |
| 2020 | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective | Chatterjee, Parag; Tesis, Andreína; Cymberknop, Leandro J.; Armentano, Ricardo L. |
| 2020 | Large-scale internet user behavior analysis of a nationwide K-12 education network based on DNS queries | Arriola, Alexis; Pastorini, Marcos; Capdehourat, Germán; Grampín, Eduardo; Castro, Alberto |
| 2023 | Learning to solve decision problems over two timescales : An application to 5G puncturing | Randall, Martín; Belcredi, Gonzalo; Belzarena, Pablo; Larroca, Federico |
| 2025 | Machine learning for predicting coliform concentrations at Montevideo beaches : Identifying key environmental drivers for coastal water quality management | Armand-Ugon, Pablo; Goliatt, Leonardo; Castro, Alberto; Gorgoglione, Angela |
| 2021 | Machine Learning methods for genome enabled prediction of complex traits : Benchmarking and robustness to marker elimination | Elenter, Juan; Etchebarne, Guillermo; Hounie, Ignacio; Fariello, María Inés; Lecumberry, Federico |
| 2025 | Machine learning-based simulation of monthly water quality in the Santa Lucía Chico river basin | Pertusso, Pedro; Pou, Martina; Vilaseca, Federico; Castro, Alberto; Gorgoglione, Angela |
| 2026 | Measuring Services Complexity: A Novel Machine Learning Approach Using U.S. Input–Output Data | Picasso, Santiago |
| 2021 | Modelado de trayectorias académicas de estudiantes universitarios mediante técnicas de analítica de aprendizaje | Martínez Ben, Pablo Andrés; Montañés Soleri, Óscar Sebastián; Serralta Gascue, Juan Manuel |
| 2020 | Museum accessibility through Wi-Fi indoor positioning. | Bracco, Antonio; Grunwald, Federico; Navcevich, Agustín; Capdehourat, Germán; Larroca, Federico |
| 2021 | New techniques for improving climate models, predictions and projections | Collins, M.; Ashok, K.; Barreiro, Marcelo; Roxy, M. K.; Kang, S. M.; Frölicher, T.; Wang, G.; Tedeschi, R. G. |
| 2017 | Not afraid of the dark : NIR-VIS face recognition via cross-spectral hallucination and low-rank embedding | Sapiro, Guillermo; Qiu, Qiang; Lezama, José |
| 2020 | On the usage of generative models for network anomaly detection in multivariate time-series. | García González, Gastón; Casas, Pedro; Fernández, Alicia; Gómez, Gabriel |
| 2020 | Overcoming data scarcity in earth science. | Gorgoglione, Angela; Castro, Alberto; Chreties, Christian; Etcheverry, Lorena |
| 2026 | OVIS System : A research platform for online and embedded monitoring of sheep behavior | Cabrera, Varinia |
| 2025 | PON physical twin : Enabling third-party research on FTTH optimization with open datasets | Inglés, Lucas; Anet Neto, Luiz; Rattaro, Claudina; Morvan, Michel; Castro, Alberto; Nuaymi, Loutfi |
| 2021 | Predicting wireless RSSI using machine learning on graphs. | Rattaro, Claudina; Larroca, Federico; Capdehourat, Germán |
| 2022 | RFPDR: a random forest approach for plant disease resistance protein prediction | Simón, Diego; Borsani, Omar; Filippi, Carla V. |
| 2025 | Selective audio recording device for wildlife research using embedded machine learning | Azziz, Julia; Lema, Josefina; Steinfeld, Leonardo; Acevedo, Emiliano; Rocamora, Martín |
| 2022 | Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3 | Pahlevan, Nima; Smith, Brandon; Fernández Ramos, Virginia Myriam |
| 2025 | Solubility prediction of lipid compounds using machine learning | Gutiérrez Álvarez, Gabriel; Porley Santana, Agustin; Gutiérrez Parodi, Soledad; Ferreira, Jimena |
| 2021 | Water-quality data imputation with a high percentage of missing values : A machine learning approach | Rodríguez Núñez, Rafael; Pastorini, Marcos; Etcheverry, Lorena; Chreties, Christian; Fossati, Mónica; Castro, Alberto; Gorgoglione, Angela |
