Dr. Pablo Rivas
Assistant Professor, Department of Computer Science
- PhD, Electrical and Computer Engineering, The University of Texas at El Paso (2011)
- MS, Electrical Engineering, Chihuahua Institute of Technology (2006)
- BS, Computer Science, Nogales Institute of Technology (2004)
- Deep Learning
- Machine Learning
- Artificial Intelligence
- Fuzzy Systems
- Assistant Professor of Computer Science, Marist College, 2015-2020
- Post-Doctoral Research Scientist, Baylor University, 2012-2015
- Graduate Research Intern, NASA Goddard Space Flight Center, 2009
- Systems Integrator Engineer, TRW Automotive, 2000-2008
Pablo Rivas, Casimer DeCusatis, Matthew Oakley, Alex Antaki, Nicholas Blaskey, Steven LaFalce, Stephen Stone, "Machine Learning for DDoS Attack Classification Using Hive Plots," 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 10/2019
Pablo Rivas, Ezequiel Rivas, Omar Velarde, Samuel Gonzalez, "Deep Sparse Autoencoders for American Sign Language Recognition using Depth Images.", 21st Int'l Conf on Artificial Intelligence (ICAI 2019), 8/2019.
Pablo Rivas, "Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models.", Workshop on Widening NLP @ Association of Computational Linguistics (ACL) annual meeting, 7/2019.
Pamela J. Harper, John C. Cary, William S. Brown, Pablo Rivas, "Ethics under Pressure: A Study of the Effects of Gender, Religiosity, and Income under the Perception of Pressure " Journal of Leadership, Accountability and Ethics, vol. 16, no. 3, 7/2019.
Erich J. Baker, Nicole A.R. Walter, Alex Salo, Pablo Rivas, Sharon Moore, Steven Gonzales, Kathleen A. Grant "Identifying Future Drinkers: Behavioral Analysis of Monkeys Initiating Drinking to Intoxication is Predictive of Future Drinking Classification " in Alcoholism Clinical and Experimental Research, 2/2017.
Juan Cota-Ruiz Pablo Rivas, Ernesto Sifuentes, and Rafael Gonzalez-Landaeta "A Recursive Shortest Path Routing Algorithm with application for Wireless Sensor Network Localization" accepted for publication in IEEE Sensors Journal, 3/2016.
Pablo Rivas, Erich Baker, Greg Hamerly, and Bryan Shaw, "Detection of Leukocoria using a Soft Fusion of Expert Classifiers under Non-clinical Settings", vol. 14, no. 110, in BMC Ophthalmology. 9/2014.
Pablo Rivas, Juan Cota-Ruiz, Jose-Gerardo Rosiles, "A nonlinear least squares quasi-Newton strategy for LP-SVR hyper-parameters selection", in International Journal of Machine Learning and Cybernetics, vol. 5, no. 4, 8/2014.
Pablo Rivas, Juan Cota-Ruiz, Jose-Gerardo Rosiles, "Statistical and Neural Pattern Recognition Methods for Dust Aerosol Detection," in International Journal of Remote Sensing, vol. 34, no. 21, 4/2013.