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Research Interests and Publications

  • Nigel Ward, Diego Aguirre, Gerardo Cervantes and Olac Fuentes, . SLT 2018: IEEE Spoken Language Technology Workshop, Athens, Greece, December 2018.
  • Afshin Gholamy, Justin Parra, Vladik Kreinovich, Olac Fuentes, and Elizabeth Anthony, How to Best Apply Deep Neural Networks in Geosciences: Towards Optimal 'Averaging' in Dropout Training. In: Junzo Watada, Shing Chieng Tan, Pandian Vasant, Eswaran Padmanabhan, and Lakhmi C. Jain (eds.), Smart Unconventional Modelling, Simulation and Optimization for Geosciences and Petroleum Engineering, Springer Verlag. 2018.
  • Anthony Ortiz, Olac Fuentes, Dalton Rosario and Christopher Kiekintveld IEEE MILCOMM 2018, Los Angeles, CA, October 2018.
  • Dalton Rosario, Anthony Ortiz, and Olac Fuentes, IEEE WHISPERS, Amsterdam, Netherlands, September 2018.
  • Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton Rosario, and Zachary Bell, . 14th IEEE Workshop on Perception Beyond the Visible Spectrum, held in conjunction with Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, Utah, June 2018.
  • Arshad M. Khan, Jose G Perez, Claire E. Wells, and Olac Fuentes, Frontiers in Systems Neuroscience. May 2018.
  • Olac Fuentes, Justin Parra, Elizabeth Anthony, and Vladik Kreinovich, Why Rectified Linear Neurons Are Efficient: A Possible Theoretical Explanation, In: Olga Kosheleva, Sergey Shary, Gang Xiang, and Roman Zapatrin (eds.), Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications, Springer, Cham, Switzerland, 2018.
  • Nigel G. Ward, Jason C. Carlson, and Olac Fuentes. . Computer Speech and Language, Vol. 50, 2018.
  • Chitta Baral, Olac Fuentes, and Vladik Kreinovich, Why Deep Neural Networks: A Possible Theoretical Explanation, In: Martine Ceberio and Vladik Kreinovich (eds.), Constraint Programming and Decision Making: Theory and Applications, Springer Verlag, Berlin, Heidelberg, 2018.
  • Anh H. Ly, Francisco Zapata, Olac Fuentes, and Vladik Kreinovich, Probabilistic Graphical Models Follow Directly from Maximum Entropy. Thai Journal of Mathematics Vol 1(6), 2017.
  • Justin Parra, Olac Fuentes, Elizabeth Anthony, and Vladik Kreinovich. Use of Machine Learning to Analyze and - Hopefully - Predict Volcano Activity. Acta Polytechnica Hungarica, Vol. 14(3), 2017.
  • Justin Parra, Olac Fuentes, Elizabeth Anthony, and Vladik Kreinovich. Prediction of Volcanic Eruptions as a Case Study of Predicting Rare Events in Chaotic Systems with Delay. IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, October 2017.
  • Nigel G. Ward, Jason C. Carlson, Olac Fuentes, Diego Castan, Elizabeth E. Shriberg, and Andreas Tsiartas. . Interspeech 2017, Stockholm, Sweeden, August 2017.
  • Diego Aguirre, Anthony Morse, and Olac Fuentes. Automated Evaluation of Short Summaries,International Journal of Computational Linguistics Applications, Vol. 6(1), 2015.
  • Debra P. C. Peters, Kris M. Havstad, Judy Cushing, Craig Tweedie, Olac Fuentes, and Natalia Villanueva-Rosales. . ECOSPHERE, 5(6), June 2014.
  • Geovany Ramirez, Olac Fuentes, Stephen L. Crites Jr., Maria Jimenez, and Juanita Ordonez. . In Workshop on Computational Models for Social Interactions and Behavior (CMSI): Scientific Grounding, Sensing and Applications, Held in conjunction with Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, June 2014.
  • Jonathan Quijas and Olac Fuentes. In 2014 Southwest Symposium on Image Analysis and Interpretation, San Diego, CA, April 2014.
  • Vladik Kreinovich and Olac Fuentes. High-concentration chemical computing techniques for solving hard-to-solve problems, and their relation to numerical optimization, neural computing, reasoning under uncertainty, and freedom of choice. In Evgeny Katz, editor, Molecular and Supramolecular Information Processing - From Molecular Switches to Logic Systems, pages 210-235. Wiley-VCH, 2012.
  • Federico Ramirez, Olac Fuentes, Rodrigo Romero, and Aaron Velasco. In 11th Mexican International Conference on Artificial Intelligence, San Luis Potosi, SLP, Mexico, October 27 - November 4, 2012
  • Geovany Ramirez and Olac Fuentes. In 17th Iberoamerican Congress on Pattern Recognition, Buenos Aires, Argentina, September 2012.
  • Murad Alaqtash, Thompson Sarkodie-Gyan, Huiying Yu, Olac Fuentes, Richard Brower, and Amr Abdelgawad, 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, August 30 - September 3, 2011.
  • Steven Gutstein, Olac Fuentes, and Eric Freudenthal. Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN), San Jose, CA, August 2011.
  • Jorge de la Calleja, Antonio Benitez, Ma Auxilio Medina, and Olac Fuentes Proceedings of the Third International Conference on Soft Computing and Pattern Recognition (SoCPaR), Dalian, China, October 14-16, 2011.
  • Gesuri Ramiez, Olac Fuentes, and Craig E. Tweedie. Proceedings of the 2011 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2011), El Paso, TX, March 2011.
  • Joshua Osbeck, Shamsnaz Virani, Olac Fuentes, and Patricia Roden. Proceedings of the 2011 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2011), El Paso, TX, March 2011.
  • Juan Carlos Gomez and Olac Fuentes. International Journal of Applied Evolutionary Computation, 1(4), 2010.
  • Nigel Ward, Olac Fuentes, and Alejandro Vega. Proceedings the 2010 International Conference on Spoken Language Processing (Interspeech 2010), Makuhari, Japan, September 2010.
  • Steven Gutstein, Olac Fuentes and Eric Freudenthal, Proceedings of International Joint Conference on Neural Networks (IJCNN) , Barcelona, Spain, July 2010.
  • Jun Zheng, Geovany A. Ramirez, and Olac Fuentes, , 7th International Conference on Image Analysis and Recognition (ICIAR), Povoa de Varzim, Portugal, June 2010.
  • Jun Zheng, Olac Fuentes, Ming-Ying Leung, and Elais Jackson , International Workshop on Digital Mammography, Girona, Spain, June 2010.
  • Jun Zheng, Olac Fuentes, and Ming-Ying Leung , Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2010), Montreal, Canada, May 2010.
  • Jorge De la Calleja,Gladis Huerta, Olac Fuentes, Antonio Benitez, Eduardo Lopez Dominguez, and Ma Auxilio Medina. The imbalanced problem in morphological galaxy classification. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp. 533-540. Springer Berlin Heidelberg, 2010.
  • Luis Malagón-Borja and Olac Fuentes,, Image and Vision Computing, Volume 27(1-2), pp 2-9, January 2009.
  • Jun Zheng and Olac Fuentes, , Proceedings of 5th International Symposium on Visual Computing (ISVC09), Las Vegas, Nevada, Nov 30 - Dec 2, 2009.
  • Jorge de la Calleja, Olac Fuentes, Jesus Gonzalez and Rita M. Aceves-Perez, A Learning Method for Imbalanced Data Sets, International Conference on Knowledge Discovery and Information Retrieval, Madeira, Portugal, October 2009.
  • Manali Chakraborty and Olac Fuentes, , International Conference on Image Analysis and Recognition (ICIAR), Halifax, CA, July 2009.
  • Trilce Estrada, Olac Fuentes and Michela Taufer, ACM SIGMETRICS PER (Performance Evaluation Review), Volume 36(3), December 2008.
  • Steven Gutstein, Olac Fuentes and Eric Freudenthal,, International Journal on Artificial Intelligence Tools (IJAIT), Volume 17, Number 3, pp. 555-567, June 2008.
  • Trilce Estrada, Olac Fuentes and Michela Taufer, Proceedings of Computing Frontiers 2008, Ischia, Italy, May 2008.
  • Jorge de la Calleja, Olac Fuentes and Jesús González, Selecting minority examples from misclassified data for over-sampling, Proceedings of FLAIRS-08 Conference, Coconut Grove, Florida, May 2008.
  • Steven Gutstein, Olac Fuentes and Eric Freudenthal, Proceedings of FLAIRS-08 Conference, Coconut Grove, Florida, May 2008.
  • Geovany A. Ramírez and Olac Fuentes, 2008 IEEE Workshop on Applications of Computer Vision (WACV), Copper Mountain, Colorado, January 2008.
  • Juan Carlos Gómez and Olac Fuentes, , 2007 IEEE Congress on Evolutionary Computation, Singapore, September 2007.
  • Luis David López and Olac Fuentes, , International Conference on Image Analysis and Recognition (ICIAR), Montreal, CA, August 2007.
  • Juan Carlos Gómez and Olac Fuentes, A Hybrid Algorithm Based on Evolution Strategies and Instance-Based Learning Applied to Two-dimensional Fitting of Brightness Profiles in Galaxy Images, International Conference on Machine Learning and Data Mining (MLDM 2007), Leipzig, Germany, July 2007.
  • Jorge de la Calleja and Olac Fuentes, Learning from Imbalanced Datasets using a Distance-based Over-sampling Method, International Conference on Machine Learning and Data Mining (MLDM 2007), Leipzig, Germany, July 2007.
  • Juan Carlos Gómez and Olac Fuentes, Using Evolution Strategies for Automatic Extraction of Parameters for Stellar Population Synthesis of Galaxy Spectra from SDSS, Genetic and Evolutionary Computation Conference (GECCO 2007), London, England, July 2007 (Poster presentation).
  • Steven Gutstein, Olac Fuentes and Eric Freudenthal, Proceedings of FLAIRS-07 Conference, Key 海角社区, Florida, May 2007.
  • Jorge de la Calleja and Olac Fuentes, A Distance-based Over-sampling Method for Dealing with Imbalanced Data Sets, Proceedings of FLAIRS-07 Conference, Key 海角社区, Florida, May 2007 (Poster presentation).
  • Olac Fuentes, David Vera and Thamar Solorio, , Proceedings of the The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), Rochester, NY, April 2007.
  • Jorge de la Calleja and Olac Fuentes, , Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP), Barcelona, Spain, March 2007.
  • Jose-Federico Ramirez-Cruz, Olac Fuentes, Vicente Alarcon-Aquino and Luciano Garcia-Banuelos, Instance Selection and Feature Weighting Using Evolutionary Algorithms, In 15th International Conference on Computing, Mexico City, Mexico, November 2006
  • Juan Carlos Gómez and Olac Fuentes, Using a Novel Hybrid Algorithm for Two-Dimensional Model of Brightness Profiles in Elliptical and Spiral Galaxy Images , Astronomical Data Analysis Software and Systems XV, San Lorenzo de El Escorial, Spain, 2006.
  • Thamar Solorio, Olac Fuentes, Nigel Ward and Yaffa Al Bayyari, , Proceedings of the Ninth International Conference on Spoken Language Processing (Interspeech 2006), Pittsburgh, PA, September 2006.
  • Juan Carlos Gómez and Olac Fuentes, Extracting Parameters for Stellar Populations Synthesis from SDSS Galaxy Spectra using Evolution Strategies, The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities, 26th meeting of the IAU, Special Session 3, Prague, Czech Republic, August, 2006.
  • H. Jair Escalante and Olac Fuentes, Analysis of Galactic Spectra Using Noise-Aware Learning Algorithms, Proceedings of FLAIRS-06 Conference, Melbourne Beach, Florida, May 2006.
  • Jorge de la Calleja and Olac Fuentes, Automated Classification of Astronomical Objects in Multi-spectral Wide-Field Images, Proceedings of FLAIRS-06 Conference, Melbourne Beach, Florida, May 2006. (Received best poster award).
  • Thamar Solorio, Olac Fuentes, Roberto Terlevich and Elena Terlevich, , Monthly Notices of the Royal Astronomical Society, Vol. 363(2), October 2005.
  • José Martínez and Olac Fuentes, Using C4.5 as a variable Selection Criterion in Classification Tasks, IASTED International Conference on Artificial Intelligence and Soft-Computing, Benidorm, Spain, September 2005.
  • Juan Carlos Gómez, Olac Fuentes and Ivanio Puerari, , Proceedings of the Ninth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), Melbourne Australia, September 2005. Lecture Notes in Artificial Intelligence 3682.
  • Trilce Estrada-Piedra and Olac Fuentes, , Proceedings of the 18th International FLAIRS Conference, Clearwater Beach, Florida, May 2005.
  • Luis Malagón-Borja and Olac Fuentes, , Proceedings of the 2nd Canadian Conference on Computer and Robot Vision, Victoria, B.C., Canada, May 2005.
  • Geovany A. Ramírez and Olac Fuentes, Face Detection using Combinations of Classifiers, Proceedings of the 2nd Canadian Conference on Computer and Robot Vision, Victoria, B.C., Canada, May 2005.
  • Jorge de la Calleja and Olac Fuentes, , Monthly Notices of the Royal Astronomical Society, Vol. 349, pp. 87-93, 2004.
  • Olac Fuentes, Thamar Solorio, Roberto Terlevich and Elena Terlevich, Analysis of Galactic Spectra Using Active Instance-Based Learning and Domain Knowledge, Proceedings of IX Iberoamerican Conference on Artificial Intelligence (IBERAMIA), Puebla, Mexico, November 2004. Lecture Notes in Artificial Intelligence 3315.
  • Antonio Salim, Olac Fuentes and Angélica Muñoz, , Proceedings of IX Iberoamerican Conference on Artificial Intelligence (IBERAMIA), Puebla, Mexico, November 2004. Lecture Notes in Artificial Intelligence 3315.
  • Juan Carlos Gómez, Olac Fuentes,  Lia Athannasoula and Albert Bosma, , Proceedings of the Eight International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES),Wellington, New Zealand, September 2004. Lecture Notes in Artificial Intelligence 3215.
  • Luis Álvarez, Olac Fuentes, and Roberto Terlevich, . Proceedings of the Eight International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), Wellington, New Zealand, September 2004. Lecture Notes in Artificial Intelligence 3215.
  • Jorge de la Calleja and Olac Fuentes, , Proceedings of the Eight International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), Wellington, New Zealand, September 2004. Lecture Notes in Artificial Intelligence 3215.
  • Antonio Salim, Olac Fuentes, and Angélica Muñoz, Proceedings Mexican International Conference in Computer Science, Colima, México, Sept. 2004.
  • Olac Fuentes and Thamar Solorio, , Proceedings of 2004 Mexican International Conference on Artificial Intelligence (MICAI), Mexico City, Mexico, Lecture Notes in Artificial Intelligence 2972, April 2004.
  • Vittorio Zanella and Olac Fuentes, , Proceedings of 2004 Mexican International Conference on Artificial Intelligence (MICAI), Mexico City, Mexico, Lecture Notes in Artificial Intelligence 2972, April 2004.
  • H. Jair Escalante and Olac Fuentes, Noise Elimination with a Re-Sampling Algorithm, Proceedings of First Iberoamerican Workshop on Machine Learning for Scientific Data Analysis, November 2004, pp.307-316, Puebla, Mexico.
  • Trilce Estrada-Piedra and Olac Fuentes, Identification of Stellar Populations in Galactic Spectra Using the Hierarchical Decision Ensemble, Proceedings of First Iberoamerican Workshop on Machine Learning for Scientific Data Analysis, November 2004, pp. 371-378, Puebla, Mexico.
  • Elena Terlevich, Roberto Terlevich, Juan Pablo Torres-Papaqui, Trilce Estrada-Piedra, Olac Fuentes, Thamar Solorio and Sandro Bressan, Computer Science approach to the stellar fabric of violent starforming regions in AGN. The Interplay among Black Holes, Stars and ISM in Galactic Nuclei, Proceedings of IAU Symposium, No. 222. Edited by T. Storchi-Bergmann, L.C. Ho, and Henrique R. Schmitt. Cambridge, UK: Cambridge University Press, p.545-548, 2004.
  • Carmen Martínez and Olac Fuentes, , Computación y Sistemas - Iberoamerican Journal of Computer Science Research, Vol. 7, No.2, pp 123-129, 2003.
  • Carmen Martínez and Olac Fuentes, Face Recognition using Unlabeled Data,  Proceedings of CIC-2003, Mexico City, Mexico, Oct. 2003.
  • Vittorio Zanella and Olac Fuentes, Model-Based Automatic Morphing of Face Images in Frontal View, IASTED International Conference on Visualization, Imaging and Image Processing, Benalmádena, Spain, Sept. 2003. pp. 55-60.
  • Jorge de la Calleja, Olac Fuentes and Aurelio López-López, IASTED International Conference on Artificial Intelligence and Applications, Benalmádena, Spain, Sept. 2003.
  • Olac Fuentes and Thamar Solorio, IASTED International Conference on Artificial Intelligence and Applications, Benalmádena, Spain, Sept. 2003.
  • Geovany Ramírez, Vittorio Zanella and Olac Fuentes, Heuristic-Based Face Detection, IASTED International Conference on Computer Graphics and Imaging, Honolulu, Hawaii, July 2003.
  • Vittorio Zanella-Palacios and Olac Fuentes, Evolution Strategies for Automatic Image Morphing, Proceedings of International Conference on Computational Intelligence for Modelling Control and Automation, Vienna, Austria, Feb. 2003.
  • Thamar Solorio, Olac Fuentes, Roberto Terlevich, Elena Terlevich and Alessandro Bressan, Automated determination of stellar population parameters in galaxies using active instance-based learning, Astronomical Data Analysis Software and Systems XIII, Strasbourg, France, Oct. 2003.
  • Juan Carlos Gómez, E. Athannasoula  and Olac Fuentes, Determination of initial conditions of M81 triplet using Evolution Strategies, Astronomical Data Analysis Software and Systems XIII, Strasbourg, France, Oct. 2003.
  • Trilce Estrada-Piedra, Juan P. Torres-Papaqui, Roberto Terlevich, Olac Fuentes and Elena Terlevich, Age determination for the nuclear stellar population of Active Galactic Nuclei (AGN) using Locally Weighted Regression (LWR), Astronomical Data Analysis Software and Systems XIII, Strasbourg, France, Oct. 2003.
  • Federico Ramírez and Olac Fuentes, , Experimental Astronomy, Vol. 14, No. 3, pp. 129-146, 2002.
  • Sergio Vázquez y Montiel, Juan Jaime Sánchez Escobar, and Olac Fuentes, Applied Optics, Vol. 41, No.17, pp. 3448-3452, June 2002.
  • Jorge de la Calleja y Olac Fuentes, Image-Based Morphological Classification of Galaxies Using Ensembles of Classifiers, Proceedings of International Computing Congress, Mexico City, Mexico, November 2002.
  • Thamar Solorio and Olac Fuentes, , Proceedings of VII I Iberoamerican Conference on Artificial Intelligence (IBERAMIA), Seville, Spain. Lecture Notes in Artificial Intelligence 2527, pp. 70-79. November 2002.
  • Federico Ramírez and Olac Fuentes, IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Alberta, Canada, July 2002.
  • Thamar Solorio and Olac Fuentes, , IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Alberta, Canada, July 2002.
  • Federico Ramírez, Olac Fuentes, and Ravi Gulati, Experimental Astronomy, Vol. 12, No. 3. pp. 163-178, 2001.
  • Olac FuentesExperimental Astronomy, Vol. 12, No. 1, pp. 21-31, 2001.
  • Olac Fuentes and Ravi K. Gulati, .Revista Mexicana de Astronomia y Astrofisica, volume 10, March 2001.
  • Federico Ramírez and Olac Fuentes, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA2001), Marbella, Spain, Sept. 2001.
  • Thamar Solorio and Olac Fuentes, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA2001), Marbella, Spain, Sept. 2001.
  • Olac Fuentes, Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing (ASC2001), Cancun, Q.R., May 2001.
  • Olac Fuentes, Finding Errors in Astronomical Catalogs Using Machine Learning, Astronomical Data Analysis Software and Systems IX, Victoria B.C., Canada, Oct. 2001.
  • Juan Carlos Gómez, Olac Fuentes, and Ivanio Puerari, Determination of orbital parameters of interacting galaxies using Evolution Strategies, Astronomical Data Analysis Software and Systems IX, Victoria B.C., Canada, Oct. 2001.
  • Thamar Solorio and Olac Fuentes, Using unlabeled data to improve the automated prediction of stellar atmospheric parameters, Astronomical Data Analysis Software and Systems IX, Victoria B.C., Canada, Oct. 2001.
  • S. Vázquez-Montiel, O. Fuentes, and J. Sánchez-Escobar, Obtaining the phase of a noisy synthetic interferogram using an evolution strategy. Proceedings of OPTILAS 2001, Buenos Aires, Argentina, July 2001.
  • Olac Fuentes and Ravi K. Gulati, Prediction of Stellar Atmospheric Parameters using Neural Networks and Instance-based Learning. Advances on Artificial Perception and Robotics Workshop. Guanajuato, Mexico, October 2000.
  • Olac Fuentes and Ravi K. Gulati, Prediction of Stellar Atmospheric Parameters from Spectra, Spectral Indices and Spectral Lines using Machine Learning. Proceedings of the Seventh Texas-Mexico Conference on Astrophysics, Austin, TX., April 2000.
  • Olac Fuentes and Ravi K. Gulati, Instance-Based Machine Learning Methods for the Prediction of Stellar Atmospheric Parameters. Astronomical Data Analysis Software & Systems IX, Waikoloa, Hawaii, October 1999.
  • Olac Fuentes and Randal C. Nelson,.Machine Learning, Vol. 31, 223-237, 1998,
  • Olac Fuentes and Randal C. Nelson, Learning Dextrous Manipulation Strategies for Multifingered Robot Hands Using the Evolution Strategy, Autonomous Robots, Vol. 5, 395-405, 1998.
  • Rajesh P. N. Rao and Olac Fuentes, , Machine Learning, Vol. 31, 87-113, 1998.
  • Rajesh P. N. Rao and Olac Fuentes, Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory, Autonomous Robots, Vol. 5, 297-316, 1998.
  • Olac Fuentes and Vladik Kreinovich, Towards Intelligent Virtual Environment for Teaching Telemanipulation Operators: Virtual Tool Approach and its Interval-Based Justification, Proceedings of the Second International Workshop on Intelligent Virtual Environments, Xalapa, Ver. Mexico, Sept. 1998.
  • Olac Fuentes, Rajesh P. N. Rao, and Michael Van Wie, Hierarchical Learning of Reactive Behaviors in an Autonomous Mobile Robot. Computación y Sistemas - Iberoamerican Journal of Computer Science Research, Volume 1, number 2, 1997.
  • Olac Fuentes and Randal C. Nelson, Proceedings of the 1997 IEEE International Conference on Robotics and Automation, Albuquerque, New Mexico, April 1997.
  • Martin Jägersand, Olac Fuentes and Randal C. Nelson, Proceedings of the 1997 IEEE International Conference on Robotics and Automation, Albuquerque, New Mexico, April 1997.
  • Olac Fuentes and Randal C. Nelson, Proceedings of the 1996 IEEE/SICE/RSJ/ International Conference on Multisensor Fusion and Integration for Intelligent Systems, Washington, D.C., December 1996.
  • Olac Fuentes and Randal C. Nelson, Proceedings of the 1996 IEEE International Symposium on Intelligent Control, Dearborn, Michigan, September 1996.
  • Rajesh P. N. Rao and Olac Fuentes, From Animals to Animats: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, Cape Cod, Massachusetts, September 1996.
  • Martin Jägersand, Olac Fuentes and Randal C. Nelson, Proceedings of the Fourth European Conference on Computer Vision, Lecture Notes in Computer Science 1065, April 1996.
  • Olac Fuentes and Randal C. Nelson, Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Minneapolis, Minnesota, April 1996.
  • Olac Fuentes, Rajesh P. N. Rao, and Michael Van Wie, Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, Vancouver, B. C., Canada, October, 1995.
  • Rajesh P. N. Rao and Olac Fuentes, Proceedings of the World Congress on Neural Networks '95, Washington, D.C., July, 1995.
  • O. Sirisaengtaksin, L. O. Fuentes, and V. Kreinovich, Non-traditional Neural Networks that solve one more intractable problem: propositional satisfiability, Proceedings of the First International Conference on Neural, Parallel, and Scientific Computations, Atlanta, GA, May 1995. 
  • Randal C. Nelson, Martin Jägersand and Olac Fuentes , Virtual Tools: A Framework for Simplifying Sensory-Motor Control in Complex Robotic Systems, Proceedings of the '95 Vision for Robots Workshop, Pittsburgh, PA. August 1995.
  • Vladik Kreinovich, Chris Quintana and Olac Fuentes, Genetic Algorithms: What Fitness Scaling is Optimal?. Cybernetics and Systems. March 1993.
  • Vladik Kreinovich, Robert Lea, Olac Fuentes, and Anatole Lockshin, Fuzzy Control is Often Better Than Manual Control of the Very Experts Whose Knowledge It Uses: an Explanation. Proceedings of the 1992 IEEE International Conference on Tools with Artificial Intelligence. Arlington, Virginia, November 1992.
  • V. Kreinovich, C. Quintana, R. Lea, O. Fuentes, S. Kumar, I. Borisheva and L. Reznik, What Non-linearity to Choose? Mathematical Foundations of Fuzzy Control. Proceedings of the 1992 International Fuzzy Systems and Intelligent Control Conference. Louisville, KY, March 1992. pp. 349-412.
  • Olac Fuentes and Vladik Kreinovich, Simulation of Chemical Kinetics: a Promising Approach to Inference Engines.  Proceedings of the First World Congress on Expert Systems, Orlando, Florida, December 1991.

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