PhD Thesis
- A. Pérez-Uribe, “Structure-Adaptable Digital Neural Networks“, PhD Thesis 2052, Swiss Federal Institute of Technology-Lausanne, Lausanne, 1999.
Co-Edited Books
Evolvable Systems: From Biology to Hardware”. Lecture Notes in Computer Science 1478”, D. Mange, M. Sipper and A. Pérez-Uribe (Eds.), Springer Verlag, 1998
Book Chapters
- Satizabal, H.-F., Barreto-Sanz, M., Jimenez. D., Perez-Uribe, A., and Cock James, “Enhancing Decision-Making Processes of Small Farmers in Tropical Crops by Means of Machine Learning Models”, Technologies and Innovation for Development, Chapter 18, 2012, pp. 265-277.
- Barreto, M., Perez-Uribe, A., Pena-Reyes, C.A., and Tomassini M. “Tuning Parameters in the Fuzzy Growing Hierarchical Self-Organizing Networks”, Studies in Computational Intelligence series, Springer Verlag, Vol 258, 2009, pp. 261-280
- Satizabal H.F., Perez-Uribe, A.., and Tomassini M. “Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets”, Studies in Computational Intelligence series, Springer Verlag, Vol 258, 2009, pp. 243-260
- Floreano, D., Mitri, S., Perez-Uribe, A, and Keller, L., “Evolution of Altruistic Robots”, in Computational Intelligence: Research Frontiers, LNCS, Springer Verlag, 2008, pp. 232-248.
- Jimenez, D., Perez-Uribe, A., Satizabal, H., Barreto, M., Van Damme, P., Tomassini, M., “A survey of artificial neural network-based modeling in agroecology”, Softcomputing Applications in Industry, B. Prasad (Ed.), Springer-Verlag, 2008, pp. 247-269
- Floreano, D., Mondada, F., Perez-Uribe, A. and Roggen, D. “Evolution of Embodied Intelligence”. in Embodied Artificial Intelligence, Berlin : Springer Verlag, 2004
- A. Pérez-Uribe,
A non-computationally-intensive neurocontroller for autonomous mobile robot navigation”, Chapter 8 in Biologically inspired robot behavior engineering, Series: Studies in Fuzziness and Soft Computing. VOL. 109, R. J. Duro, J. Santos, M. Grana (Eds.), Springer-Verlag, 2002, pp. 215-238.
- A. Pérez-Uribe,
Using a time-delay actor-critic neural architecture with dopamine-like reinforcement signal for learning in autonomous robots”, Emergent Neural Computational Architectures based on Neuroscience (LNAI 2036), S. Wermter, J. Austin, D. Willshaw (Eds.), State-of-the-Art Survey, Springer-verlag, Berlin, Heidelberg, 2001, pp. 522-533.
- M. Sipper, E. Sanchez, J.-O. Haenni, J.-L. Beuchat, A. Stauffer, and A. Perez-Uribe, “From Configurable Circuits to Bio-Inspired Systems”, In Intelligent Systems and Interfaces, H.-N. Teodorescu and D. Mlynek and A. Kandel and H.-J. Zimmermann (Eds.), Chapter 4, Kluwer Academic Publishers, Intelligent Technologies Series, Volume 15, Boston, 2000, pp. 91-128.
- A. Pérez-Uribe,
Artificial Neural Networks: Algorithms and Hardware Implementation” in Bio-Inspired Computing Machines: Toward Novel Computational Architectures, D. Mange and M. Tomassini, Eds. Presses, Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998, pp. 289-316.
- M. Sipper,E. Sanchez,D. Mange,M. Tomassini,A. Pérez-Uribe and A. Stauffer,“An Introduction to Bio-Inspired Machines” in Bio-Inspired Computing Machines: Toward Novel Computational Architectures, D. Mange and M. Tomassini, Eds. Presses, Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998, pp. 1-12 (This chapter is based on the IEEE-TEC, Vol1, No.1, 1997 paper).
Journal Publications
- Z. Zhu, H.F. Satizabal, U. Blanke, A. Perez-Uribe, and G. Tröster, « Naturalistic Recognition of Activities and Mood using Wearable Electronics », IEEE. Transactions on Affective Computing (to appear, 2015).
- H.F. Satizabal and A. Perez-Uribe, Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm, Soft Computing, Springer Verlag, November 2014, pp. 1-11.
- H.F. Satizabal, A. Upegui, A. Perez-Uribe, F. Mondada and P. Retornaz, A Social Approach for Target Localization: Simulation and Implementation in the marXbot Robot, Memetic Computing, Springer Verlag, Vol. 3, No 4, 2011, pp. 245-259.
- Daniel Jimenez, James Cock, Andy Jarvis, James Garcia, Hector F. Satizabal, Patrick Van Damme, Andres Perez-Uribe, Miguel A. Barreto-Sanz, Interpretation of commercial production information: A case study of lulo (Solanum quitoense), an under-researched Andean fruit, Agricultural Systems, Volume 104, Issue 3, March 2011, Pages 258-270.
- Daniel Jimenez, James Cock, Hector Satizabal, Miguel Barreto, Andres Perez-Uribe, Andy Jarvis and Patrick Van Damme, “Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data”, Computer and Eletronics in Agriculture, Elsevier, Vol 69, 2009, pp. 198-208.
- Andres Upegui, Yann Thoma, Eduardo Sanchez, Andres Perez-Uribe, Juan Manuel Moreno, Jordi Madrenas and Gilles Sassatelli, “The PERPLEXUS bio-inspired hardware platform: A flexible and modular approach”, International Journal of Knowledge-Based and Intelligent Engineering Systems, IOS Press, Vol 12, Number 3, 2008, pp. 201-212.
- Floreano, D., Mondada, F., Perez-Uribe, A. and Roggen, D., “Machine Self-Evolution.” YLEM journal, 24(12), 2004, pp. 4-10.
- Eduardo Sanchez, Moshe Sipper, Jacques-Olivier Haenni, Jean-Luc Beuchat, André Stauffer and Andrés Pérez-Uribe,
Static and Dynamic Configurable Systems”, IEEE Transactions on Computers, Vol. 48, 6, 1999, pp. 556-564.
- M. Sipper,E. Sanchez,D. Mange,M. Tomassini,A. Pérez-Uribe and A. Stauffer,“A Phylogenetic, Ontogenetic, and Epigenetic View of Bio-Inspired Hardware Systems”, IEEE Transactions on Evolutionary Computation, Vol 1, Number 1, April 1997, pp. 83-97.In French:
- D. Ratnarajah, A. Perez-Uribe, E. Sanchez, C. Bindschaedler., “Assistant personnel pour personnes à mémoire défaillante”, Bulletin SEV/VSE, 19, 2005, pp. 31-33
In Spanish:
- H.F. Restrepo, C.A. Pena Reyes, A. Pérez Uribe, “Hacia el desarrollo de nuevas maquinas computacionales: lecciones que aprendemos de la naturaleza”, Energía y Comptación, No 16, 2001.
- A. Pérez-Uribe, J. Velasco,“Dispositivos Logicos Programables (PLDs)”, Energía y Computación, Vol 3, No 1, 1994, pp. 19-25.
- A. Pérez-Uribe, “Lógica Fuzzy : principios y aplicaciones”, Energía y Computación, Vol 2, No 5, april 1993, pp. 58-62.
Invited publications
- A. Pérez-Uribe, « Les chercheurs en IA rêvent-ils de robots SF ? “, Catalogue de l’exposition « Portrait-Robot » du musée La Maison d’Ailleurs, June 2015
International Peer-reviewed Conference Publications
- J. Rebetez, H.F. Satizabal, A. Perez-Uribe, “Reducing User Intervention in Incremental Activity Recognition for Assistive Technologies”, , Proceedings of the 17th Annual International Symposium on International Symposium on Wearable Computers (ISWC’2013). ACM, New York, NY, USA, pp. 29-32.
- B. Delachaux, J. Rebetez, A. Perez-Uribe and H.F. Satizabal, “Indoor activity recognition by combining one-vs-all neural network classifiers exploiting wearable and depth sensors”, Rojas, G. Joya, and J. Cabestany (Eds.): IWANN 2013, Part II, LNCS 7903, pp. 216-223, 2013.
- H.F. Satizabal, J. Rebetez and A. Perez-Uribe, “Semi-Supervised Discovery of Time-Series Templates for Gesture Spotting in Activity Recognition”, Proceedings if the 2nd International Conference in Pattern Recognition Applications and Methods, Barcelona, 2013.
- A. Perez-Uribe and H.F. Satizabal, “Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity”, LNCS, vol. 7552, 2012, pp. 201-208
- A. Upegui, Y. Thoma, H.F. Satizabal, F. Mondada, P. Retornaz, Y. Graf, A. Perez-Uribe and E. Sanchez, “Ubichip, Ubidule, and MarXbot: a hardware platform for the simulation of complex systems”, “Evolvable Systems: From Biology to Hardware”, Lecture Notes in Computer Science, 2010, Volume 6274, pp 286-298, 2010.
- Hector Satizabal, Andres Upegui and Andres Perez-Uribe, “Social Target Localization in a Population of Foragers”, Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), Studies in Computational Intelligence, Vol. 284, Springer Berlin/Heidelberg, 2010, pp. 13-24
- Hector Satizabal, Miguel Barreto, Daniel Jimenez, Andres Perez-Uribe, and James Cock, “Enhancing Decision-Making Processes of Small Farmers in Tropical Crops by Means of Machine Learning Models”, EPFL / UNESCO Chair International Scientific Conference on Technologies for Development 8-10 Feb. 2010.
- O. Jorand, A. Perez-Uribe, H. Volken, A. Upegui, Y. Thoma, E. Sanchez. F. Mondada, P. Retornaz, “Noise and bias for free: PERPLEXUS as a material platform for embodied thougth-experiments”, 2nd AISB Symposium on Computing and Philosophy, in conjunction with the 2009 AISB Convention, Heriot-Watt University, Edinburgh, Scotland, 9 April 2009
- Andres Upegui, Yann Thoma, Eduardo Sanchez, Andres Perez-Uribe, Juan Manuel Moreno, Jordi Madrenas and Gilles Sassatelli, “The PERPLEXUS bio-inspired hardware platform: A flexible and modular approach”, International Journal of Knowledge-Based and Intelligent Engineering Systems, IOS Press, Vol 12, Number 3, 2008, pp. 201-212.
- Andres Upegui, Andres Perez-Uribe, Yann Thoma, and Eduardo Sanchez, “Neural Development on the Ubichip by Means of Dynamic Routing Mechanisms”, in Proceedings of the International Conference on Evolvable Systems (ICES 08), Prague, September 2008.
- Miguel Arturo Barreto-Sanz, Andres Perez-Uribe, Carlos-Andres Pena-Reyes and Marco Tomassini, “Fuzzy Growing Hierarchical Self-Organizing”, Artificial Neural Networks – ICANN 2008, LNCS 5164, pp. 713-722.
- Hector Satizabal, Andres Perez-Uribe and Marco Tomassini, “Prototype Proliferation in the Growing Neural Gas Algorithm”, Artificial Neural Networks – ICANN 2008, LNCS 5164, pp. 793-802.
- Dario Floreano, Sara Mitri, Andres Pérez-Uribe, Laurent Keller, “Evolution of Altruistic Robots”, Proceddings of the WCCI 2008 conference, pp. 232-248.
- A. Upegui, Y. Thoma, A. Perez-Uribe, and E. Sanchez, “Dynamic routing on the ubichip: toward synaptogenetic neural networks”, In D. Keymeulen, T. Arslan, M. Suess, A. Stoica, A. Erdogan, and D. Merodio editors, 3 rd NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2008), pages 228-235, Los Alamitos, CA, USA, June 2008. IEEE Computer Society.
- Sae-Tang A., Perez-Uribe, A., Jarvis A., “Artificial Neural Network Models for Identifying Novelties in Vegetation Time Series”, The 6th European Conf. on Ecological Modelling, Trieste, Italy. November 27-30, pp. 452-453.
- Jimenez, D.R., Satizabal, H.F. and Pérez-Uribe, A.,“Modelling Sugar Cane Yield Using Artificial Neural Networks”, The 6th European Conference on Ecological Modelling, Trieste, Italy. November 27-30, 2007, pp. 244-245.
- Barreto, M., Jimenez, D.R. and Pérez-Uribe, A., “Tree-structured Self-Organizing Map component planes as a visualization tool for data exploration in agro-ecological modeling”. The 6th European Conf. on Ecological Modelling, Trieste, Italy. November 27-30, pp. 55-56.
- M. Barreto and A. Pérez-Uribe, “Improving the correlation hunting in a large quantity of SOM component planes”, Proceedings of the ICANN 2007 Conference. Marques de Sa et al. (Eds.), Porto, Portugal. 9 – 13 September, Part I, LNCS 4668, Springer, pp. 379-388.
- H.F. Satizabal and A. Pérez-Uribe, “Relevance Metrics to Reduce Input Dimensions on Artificial Neural Networks”, Proceedings of the ICANN 2007 Conference, J. Marques de Sa et al. (Eds.), Porto, Portugal. 9 – 13 September, Part I, LNCS 4668, Springer, pp. 39-48.
- M. Barreto and A. Pérez-Uribe, “Classification of similar productivity zones in the sugar cane culture using clustering of SOM component planes based on the SOM distance matrix”, Proceedings of the WSOM 2007 Conference, pp. .
- E. Sanchez, A. Perez-Uribe, A. Upegui, Y. Thoma, J.-M. Moreno, A. Villa, H. Volken, Napieralski, G. Sassatelli, E. Lavarec, “PERPLEXUS: Pervasive Com- puting Framework for Modeling Complex Virtually-Unbounded Systems,” In T. Arslan, A. Stoica, M. Suess, D. Keymeulen, T. Higuchi, R. Zebulum, and A. T. Erdogan, editors, Second NASA/ESA Conference on Adaptive Hardware and Sys- tems (AHS 2007), pages 587-591, Los Alamitos, CA, USA, Aug. 2007. IEEE Computer Society.
- A. Upegui, Y. Thoma, E. Sanchez, A. Perez-Uribe, J. M. Moreno, and J. Madrenas. “The perplexus bio-inspired reconfigurable circuit”. In T. Arslan, A. Stoica, M. Suess, D. Keymeulen, T. Higuchi, R. Zebulum, and A. T. Erdogan, editors, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), pages 600-605, Los Alamitos, CA, USA, Aug. 2007. IEEE Computer Society.
- H.F. Satizabal, D. Jimenez, and A. Pérez-Uribe, “Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction”, Computational and Ambient Intelligence, Proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Sandoval, F.; Prieto, A.; Cabestany, J.; Grana, M. (Eds.), San Sebastian, Spain, June 20-22, 2007, LNCS 4507, Springer, pp. 1147-1154.
- Y. Thoma, A. Upegui, A. Perez-Uribe, E. Sanchez. “Self-Replication Mechanism by Means of Self-Reconfiguration”. In M. Platzner, K.-E. Grosspietsch, C. Hochberger, A. Koch (Eds.), 20th International Conference on Architecture of Computing Sys- tems 2007 (ARCS ’07), Workshop proceedings, pages 105-112, VDE Verlag, 2007
- A. Pérez-Uribe, D. Floreano, and L. Keller, “Effects of group composition and level of selection in the evolution of cooperation in artificial ants”, Proceedings of the 7th European Conference on Artificial Life, ECAL’2003, W. Banzhaf et al. (Eds.), LNAI 2801, Springer, pp. 128-137.
- B. Mesot, E. Sanchez, C.A. Pena, and A. Perez-Uribe, “SOS++: Finding Smart Behaviors Using Learning and Evolution”, Proceedings of The 8th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life VIII, 9-13 Dec. 2002, Sydney, Australia, pp. 264-273.
- A. Pérez-Uribe and M. Courant, “A robotics framework for studying the coevolution of signaling”, Emergence and Development of Embodied Cognition EDEC’2001, Workshop at the International Conference on Cognitive Science ICCS’2001, August 27-31, 2001, Beijing, China.
- E. Sanchez, A. Pérez-Uribe, and B. Mesot, “Solving partially observable problems by evolution and learning of finite state machines”, The 4th International Conference on Evolvable Systems: From Biology To Hardware (ICES2001), Tokyo, October 3-5, 2001, pp. 267-278.
- A. Pérez-Uribe and M. Courant, “Learning to predict variable-delay rewards and its role in autonomous developmental robotics”, In Bio-Inspired Applications of Connectionism, LNCS 2085, 6th International Work-conference on Artificial and Natural Neural Networks, IWANN’2001, part II, Springer-Verlag, Granada, Spain, June 13-15, 2001, pp. 492-499.
- A. Pérez-Uribe and B. Hirsbrunner, “Learning and Foraging in Robot-bees”, SAB2000 Proceedings Supplement Book, Meyer, Berthoz, Floreano, Roitblat and Wilson (Eds.), Published by International Society for Adaptive Behavior, Honolulu, 2000, pp. 185-194.
- A. Pérez-Uribe, “Learning to predict variable-delay rewards using an actor-critic architecture with dopamine-like reinforcement signal”, Proceedings of the EmerNet’2000 Workshop on Current Computational Architectures Integrating Neural Networks and Neuroscience, Durham, UK, 8-9 August, 2000, pp. 35-38.
- A. Pérez-Uribe and B. Hirsbrunner, “The Risk of Exploration in Multi-Agent Learning Systems: A Case Study”, Proceedings of the AGENTS-00/ECML-00 Joint Workshop on Learning Agents, Barcelona, June 3-7, 2000, pp. 33-37.
- A. Pérez-Uribe,
Of implementing neural epigenesis, reinforcement learning, and mental rehearsal in a mobile autonomous robot”, Proceedings of the Artificial Intelligence and the Simulation of Behaviour (AISB’2000) symposia, Birmingham, UK, April 17-20, 2000, pp. 153-154.
- H.F. Restrepo, R. Hoffmann, A. Pérez-Uribe, C. Teuscher, and E. Sanchez,
A Networked FPGA-Based Hardware Implementation of a Neural Network Application”, In K. L. Pocek and J. M. Arnold, editors, Proceedings of the IEEE Symposium on Field Programmable Custom Computing Machines, FCCM’00, Napa, California, USA, April 17-19, 2000. IEEE Computer Society, Los Alamitos, CA, pp. 337-338.
- A. Pérez-Uribe,
Reinforcement learning with local approximation: A hardware-friendly application to mobile robotics”, Online abstract, Workshop held at Lugano, Switzerland, October 29-30, 1999.
- A. Pérez-Uribe, E. Sanchez,
Structure Adaptation in Artificial Neural Networks through Adaptive Clustering and through Growth in State Space”, Proceedings of the International Work-Conference on Artificial and Natural Neural Networks IWANN’99, Lecture Notes in Computer Science 1606, Alicante, Spain, June 2-4, 1999, Vol. 1, pp. 556-565.
- A. Pérez-Uribe, E. Sanchez,
A Comparison of Reinforcement Learning with Eligibility Traces and Integrated Learning, Planning and Reacting”, In Computational Intelligence for Modeling, Control and Automation, Concurrent Systems Engineering Series, Vol. 54, M. Mohammadian (Ed.), IOS Press, Amsterdam, 1999, pp. 154-159.
- A. Pérez-Uribe, E. Sanchez,
A Digital Artificial Brain Architecture for Mobile Autonomous Robots”, Proceedings of the Fourth International Symposium on Artificial Life and Robotics AROB’99, Oita, Japan, January, 1999, pp. 240-243.
- A. Stauffer, M. Sipper and A. Pérez-Uribe,“Some Applications of FPGAs in Bio-Inspired Hardware”, Proceedings of the IEEE Symposium on Field-Programmable Custom Computing Machines FCCM’98, K.L. Pocek and J.M. Arnold Eds., IEEE Computer Society, Los Alamitos, 1998, pp. 278-279.
- A. Pérez-Uribe, E. Sanchez,“Blackjack as a Test Bed for Learning Strategies in Neural Networks”, Proceedings of the IEEE International Joint Conference on Neural Networks IJCNN’98, Anchorage, May 4-9, 1998, Vol 3, pp. 2022-2027
- A. Pérez-Uribe, E. Sanchez, “FPGA Implementation of a Network of Neuronlike Adaptive Elements”, Proceedings of the VII International Conference on Artificial Neural Networks ICANN’97, Lecture Notes in Computer Science, Springer, pp. 1247-1252
- M. Sipper,E. Sanchez,D. Mange,M. Tomassini,A. Pérez-Uribe and A. Stauffer, “The POE Model of Bio-Inspired Hardware Systems: A Short Introduction” ,in Genetic Programming 1997: Proceedings of the Second Annual Conference, J. R. Koza and K. Deb and M. Dorigo and D. B. Fogel and M. Garzon and H. Iba and R. L. Riolo Editors, Morgan Kaufmann, 1997, pp. .
- A. Pérez-Uribe, E. Sanchez,“Structure-Adaptable Neurocontrollers: A Hardware-Friendly Approach”, Proceedings of the International Work-Conference on Artificial and Natural Neural Networks, Lanzarote, Canary Islands, Spain, June 4-6,1997, Lecture Notes in Computer Science 1240, Springer, pp. 1251-1259.
- A. Pérez-Uribe, E. Sanchez,“Speeding-Up Adaptive Heuristic Critic Learning with FPGA-Based Unsupervised Clustering”, Proceedings of the IEEE International Conference on Evolutionary Computation ICEC’97, Indianapolis, April 14-17,1997. pp. 685-689.
- E. Sanchez,D. Mange,M. Sipper,M. Tomassini, A. Pérez-Uribe and A. Stauffer,“Phylogeny, Ontogeny, and Epigenesis: Three Sources Of Biological Inspiration For Softening Hardware”, Proceedings of The First International Conference on Evolvable Systems: from Biology to Hardware (ICES96), Tsukuba, Japan, Oct, 1996. pp. 35-54.
- A. Pérez-Uribe, E. Sanchez,“Neural Networks Structure Optimization Through On-line Hardware Evolution”, World Congress on Neural Networks WCNN’96, San Diego, sept 15-18, 1996, pp. 1041-1044.
- A. Pérez-Uribe, E. Sanchez,“Implementation of Neural Constructivism with Programmable Hardware”, International Symposium on Neuro-Fuzzy Systems, AT’96,Lausanne, August 29-31, 1996, pp. 29-31.
- A. Pérez-Uribe, E. Sanchez,“FPGA Implementation of an Adaptable-Size Neural Network”, VI International Conference on Artificial Neural Networks ICANN’96, Bochum, july 16-19, 1996, Lecture Notes in Computer Science 1112, Springer, pp. 383-388.
- A. Pérez-Uribe, E. Sanchez,“The FAST Architecture: A Neural Network with Flexible Adaptable-Size Topology”, Proceedings of the V International Conference on Microelectronics for Neural Networks and Fuzzy Systems,Feb 12-14,1996, pp. 337-340.
- A. Pérez-Uribe, J. Velasco, “PLD and FPGA Architectures : A general Overview”, IEEE-MEXICON94 Conference, Puebla, Mexico, Feb 28, 1994, pp. 345-351.
- J. Velasco, A. Garcia, A. Pérez-Uribe, “Karnaugh Maps for 6,7,8 or more variables”, IEEE-MEXICON94 Conference, Puebla, Mexico, Feb 28, 1994, pp. 83-88.
Unpublished articles
- A. Pérez-Uribe and J. Duran i Batidor, “AiRS: A Recommendation System based on Multiple Bio-inspired Self-Organizing Maps”, (c) AIBITS S.A., September 2003.
Conference Publications in Spanish
- A. Pérez-Uribe,”Aprendizaje por interaccion: Nuevos modelos“, Novena Semana tecnica de Ingenieria de Sistemas, Universidad UIS, Bucaramanga, Colombia, Sep. 28-Oct. 3, 1998.
- A. Pérez-Uribe,”Hacia el desarrollo de nuevas máquinas computacionales: Lecciones que nos da la naturaleza“, Novena Semana tecnica de Ingenieria de Sistemas, Universidad UIS, Bucaramanga, Colombia, Sep. 28-Oct. 3, 1998.
- A. Pérez-Uribe,”Introducción a las redes neuronales artificiales ontogénicas“, Proceedings of the II Congreso Colombiano de Neurocomputación, Bogota, Colombia, Nov. 1997.
- A. Pérez-Uribe, “Evolución hardware de redes neuronales artificiales“, II Congreso Internacional de Opto-microelectrónica y telecomunicaciones
SIOMTEC95, Bogota, Colombia, Oct 24-27, 1995 - A. Pérez-Uribe, “Implementación FPGA de un circuito acelerador para Automatas Celulares“, II Congreso Internacional de Opto-microelectrónica y telecomunicaciones SIOMTEC95, Bogota, Colombia, Oct 24-27, 1995
- A. Pérez-Uribe, “Introducción a la implementación digital de redes neuronales artificiales“, I Congreso Internacional de Micro-Optoelectrónica y Telecomunicaciones, Cali, Colombia, June, 1994
- A. Pérez-Uribe, “Clasificación de arquitecturas de PLDs y FPGAs : Una visión general“, I Congreso Internacional de Micro-Optoelectrónica y Telecomunicaciones, Cali, Colombia, June, 1994
Engineering thesis
- A. Pérez-Uribe, “Diseno VLSI con PLDs – FPGAs : Arquitecturas, Diseno Lógico y CAD“, Engineering Thesis, Universidad del Valle, Cali, Colombia. June 1993.
November, 2015