• Ph D in Computer Science, University of Rochester (1997)
• MS in Computer Science, The University of Texas at El Paso (1991)
• BS in Industrial Engineering, Instituto Tecnológico de Chihuahua (1989)

• Chemoarchitectural studies of the rat hypothalamus and zona incerta. Chemopleth 1.0, a downloadable interactive Brain Maps spatial database of five co-visualizable neurochemical systems, with novel-feature- and grid-based mapping tools. BioRxiv [Preprint] (2024), Vanessa I. Navarro, Alexandro Arnal, Eduardo Peru, Sivasai Balivada, Alejandro R. Toccoli, Diana Sotelo, Olac Fuentes, Arshad Khan.
• Boundary Aware U-Net for Glacier Segmentation (2023), Bibek Aryal, Katie E. Miles, Sergio A. Vargas-Zesati, Olac Fuentes.
• Effects of scale on segmentation of Nissl--stained rat brain tissue images via convolutional neural networks 35 (2022), Alexandro Arnal, Olac Fuentes.
• Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning Frontiers in artificial intelligence 5 (2022), Romena Yasmin, Md M. Hassan, Joshua T. Grassel, Harika Bhogaraju, Adolfo R. Escobedo, Olac Fuentes.
• Physics-Informed Long-Short Term Memory Neural Network Performance on Holloman High-Speed Test Track Sled Study 85840 (2022), Jose Perez, Rafael Baez, Jose Terrazas, Arturo Rodriguez, Daniel Villanueva, Olac Fuentes, Vinod Kumar, Brandon Paez, Abdiel Cruz.
• Automated Semantic Segmentation of Arctic Shorelines using High-Resolution Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches Remote Sensing 13 22 (2021), Bibek Aryal, Stephen Escarzaga, Sergio A. Vargas Zasati, Miguel Velez-Reyes, Olac Fuentes, Craig E. Tweedie.
• Enhancing Image Classification Capabilities of Crowdsourcing-based Methods through Expanded Input Elicitation Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2021), Romena Yasmin, M. Mahmudulla Hassan, Joshua Grassel, Olac Fuentes, Adolfo Escobedo.
• Predicting Solar X-ray Flux Using Deep Learning Techniques International Joint Conference on Neural Networks (IJCNN 2020) (2020), Sumi Dey, Olac Fuentes.
• Local Context Normalization: Revisiting Local Normalization CVPR 2020 (2020), Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic.
• Using Prosody to Find Mentions of Urgent Problems in Radio Broadcasts Speech Prosody (2020), Nigel Ward, James A. Jodoin, Anindita Nath, Olac Fuentes.
• Why Rectified Linear Neurons Are Efficient: A Possible Theoretical Explanation Springer (2020), Olac Fuentes, Justin Parra, Elizabeth Y. Anthony, Vladik Y. Kreinovich.
• Improving Weight Initialization of RELU and Output Layers 28th International Conference on Artificial Neural Networks (ICANN 2019) (2019), Diego Aguirre, Olac Fuentes.
• How to Best Apply Neural Networks in Geosciences: Towards Optimal 'Averaging' in Dropout Training Springer (2019), Afshin Gholamy, Justin Parra, Olac Fuentes, Vladik Y. Kreinovich, Elizabeth Y. Anthony.

• A resource to aid in viral-based targeting and interrogation of hypothalamic circuits in the rat: An interactive spatial database of five neurochemical systems in stereotaxic space. (2024), Volume Lewiston, Maine, Vanessa I. Navarro, Alexandro Arnal, Eduardo Peru, Sivasai Balivada, Alejandro R. Toccoli, Diana Sotelo, Olac Fuentes, Arshad Khan.
• Hindbrain catecholaminergic and non-catecholaminergic neuronal populations rapidly recruited during glycemic challenge: A fluorescent cell-detecting deep learning model for high-throughput tabulation and atlas-based mapping (2022), Volume San Diego, CA, Geronimo P. Tapia, Alexandro Arnal, Sarah D. Chenausky, Jessica V. Salcido Padilla, Vanessa I. Navarro, Kenichiro Negishi, Sivasai Balivada, Olac Fuentes, Arshad Khan.

No info available.