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‘Inteligencia Artificial: Algoritmos de Búsqueda
Los algoritmos de búsqueda es una rama de inteligencia artificial muy importante, que consiste en buscar en un espacio de estados. En esa disciplina se estudian búsquedas ciegas (búsqueda primero en amplitud, primero en profundidad) y búsquedas informadas como A* entre muchas otras. ¡Espero que os guste!
The obstacle Tower: examinando la Inteligencia Artificial
Ciencia Ficción, Inteligencia Artificial e Inteligencia General
Inteligencia artificial paso a paso
#CienciaenelParlamento: Tema Big Data e Inteligencia Artificial. Consulta como persona experta.
The Ninth International Planning Competition, 2018
This is the list of races that I participated.
The oral defense may not exceed 45 minutes. Family members and friends may be permitted to attend, however, candidates should be aware that the defense is an official proceeding and their work will be publicly reviewed and potentially criticized. The typical defense consists of a public forum that is open to the entire University community.
I was working for 3 months at University of Huddersfield with Mauro Vallati and Lukas Chpra. They was working at the School of Computing and Engineering of the University of Huddersfield. They was members of the PARK (Planning, Autonomy and Representation of Knowledge) research group, led by Lee McCluskey and Grigoris Antoniou.
Second position in multicore track
The Eighth International Planning Competition, 2014
IBaCoP is the result of applying the Pareto efficiency technique (Censor 1977) to select a sub-set of planners from the planners in sequential satisficing track plus LPG-td. We select the planners that dominates all others in at least one domain (from a set of training domains), taking into account quality and time. We assign the same running time for all selected planners
IBaCoP2 is a portfolio auto configurable with a classification model
Published in WORKSHOP, 2012
Recommended citation: Isabel Cenamor, Tomas de la Rosa. (2012). "Mining IPC-2011 ." Proceedings of ICAPS-12 workshop on International Planning Competition. https://icenamor.github.io/files/mining-ipc2011.pdf
Published in Workshop, 2013
Learning Predictive Models to Configure Planning Portfolios.
Recommended citation: Isabel Cenamor, Tomas de la Rosa, Fernando Fernandez (2013). "Learning Predictive Models to Configure Planning Portfolios" Proceedings of ICAPS-13 workshop on Planning and Learning.. https://icenamor.github.io/files/ws-icaps13-pal.pdf
Published in AAAI Workshops, 2013
Recommended citation: Isabel Cenamor, Tomas de la Rosa, Daniel Borrajo. (2013). "OnDroad Planner: Building Tourist Plans Using Traveling Social Network Information" Proceedings of Human Computation and Crowdsourcing: Work in Progress and Demostration Abstracts. http://www.aaai.org/ocs/index.php/HCOMP/HCOMP13/paper/view/7526
Published in IPC, 2014
The goal of data clustering
Recommended citation: Isabel Cenamor. (2014). "NuCeLaR" IPC. https://icenamor.github.io/files/NuCeLaR.pdf
Published in Doctoral Consortium - ICAPS, 2014
Recommended citation: Isabel Cenamor (2014). "Strategies to Configure a Portfolio" Doctoral Consortium, International Conference on Automated Planning and Scheduling. (ICAPS 2014) Portsmouth, USA. http://www.plg.inf.uc3m.es/~icenamor/files/DissertationAbstract.pdf
Published in Journal 1, 2014
Recommended citation: Isabel Cenamor and Tomas de la Rosa and Fernando Fernandez. (2014). "LIBACOP and LIBACOP2 Planner." IPC. 1(2). https://icenamor.github.io/files/LIBaCoPPlanner.pdf
Published in International Planning Competition , 2014
Recommended citation: Isabel Cenamor and Tomas de la Rosa and Fernando Fernandez (2014). "IBACOP and IBACOP2 Planner" IPC. https://icenamor.github.io/files/IBaCoPPlanner.pdf
Published in Workshop, 2014
Recommended citation: Isabel Cenamor , Lukas Chrpa, Falilat Jimoh, Thomas L. McCluskey and Mauro Vallati (2010). "Planning & Scheduling Applications in Urban Traffic Management." PlanSIG. 1(2). https://icenamor.github.io/files/plansig2014_Planning_and_Scheduling.pdf
Published in Journal of Artificial Intelligence Research (JAIR), 2016
Recommended citation: Isabel Cenamor, Tomás de la Rosa, Fernando Fernández (2016). "The IBaCoP Planning System: Instance-Based Configured Portfolios" JAIR.56. https://jair.org/index.php/jair/article/view/11020/26182
Published in Expert Systems with Applications, 2016
Recommended citation: IsabelCenamor Tomásde la Rosa, Sergio Núñez, Daniel Borrajo (2017). "Planning for tourism routes using social networks" Expert Systems with Applications.Volume 69, 1 March 2017, Pages 1-9. http://www.sciencedirect.com/science/article/pii/S0957417416305693
Published in Dissertation, 2017
Recommended citation: Isabel Cenamor. (2017). "Creating Planning Portfolios with Predictive Models" Universidad Carlos III de Madrid. https://icenamor.github.io/files/thesisIsabelCenamor.pdf
Published in Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
Empirical Performance models
Recommended citation: Tomas de la Rosa, Isabel Cenamor, Fernando Fernandez (2018). "Performance Modelling of Planners from Homogeneous Problem Set." ICAPS.Pittsburgh, Pennsylvania USA, from June 18–23, 2017. https://www.aaai.org/ocs/index.php/ICAPS/ICAPS17/paper/download/15723/15133
Published in IPC, 2018
The second version of the planner
Recommended citation: Isabel Cenamor, Tomas de la Rosa, Fernando Fernandez (2018). "IBaCoP-2018 and IBaCoP2-2018." International Planning Competition https://icenamor.github.io/files/IBaCoP_2018.pdf
Published in International Planning Competition, 2018
Recommended citation: Isabel Cenamor, Mauro Vallati, Lukas Chrpa, Tomas de la Rosa and Fernando Fernandez. (2018). "TemPoRal: Temporal Portfolio Algorithm." IPC. https://icenamor.github.io/files/TemPoRal.pdf
Published in Computacional Intelligence Journal, 2019
On the predictability of domain‐independent temporal planners
Recommended citation: Isabel Cenamor, Mauro Vallati, Lukas Chrpa. (2019). "On the predictability of domain‐independent temporal planners."Computational Intelligence. https://onlinelibrary.wiley.com/doi/full/10.1111/coin.12211
Autonomic Road Transport Support Systems (ARTS) is a COST EU Network, aiming to build up a community investigating the underlying principles, feasibility and implications of self-managing road transport systems. As part of that effort the Network will provide the opportunity, through short, intensive training schools, for scientists and engineers to build up their knowledge and motivation to start a career in this area. The Training School is aimed particularly at early career researchers in traffic engineering, computer science and transport studies, providing intensive training to research students and re-training professions. The course will cover principles, techniques and applications concerned with embedding autonomic properties into road traffic control systems.
Pre-defense of the thesis in Spanish
Undergraduate course, Universidad Carlos III de Madrid, Departamento de informatica, 2011
(4/4 academic year)
Undergraduate course, Universidad Carlos III de Madrid, Departamento de Informatica, 2015
(1/4 academic year)
Undergraduate course, Universidad Carlos III de Madrid, Departamento de Informatica, 2016
(3/4 academic year)