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Imágenes de promoción AEPIA
Apoyo a la investigación y la docencia en Inteligencia Artificial
Fomentar el desarrollo de la Inteligencia Artificial tanto en el ámbito español como en el Iberoamericano
Organización de la multiconferencia CAEPIA
Conferencia bianual de Inteligencia Artificial: próxima conferencia en el año 2018
Aepia es una asociación formada por docentes, investigadores y profesionales que comparten intereses en temas relacionados con la Inteligencia Artificial.
La Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA) es un foro bienal abierto a investigadores de todo el mundo para presentar y discutir los últimos avances científicos y tecnológicos en Inteligencia Artificial. Como en las anteriores ediciones, los objetivos son: facilitar la diseminación de nuevas ideas y experiencias, fortalecer los lazos entre los distintos grupos de investigación implicados, promover el trasvase de conocimiento entre nuevos investigadores y grupos consolidados, y ayudar a difundir los nuevos desarrollos hacia la sociedad.
La Cumbre RE•WORK Deep Learning vuelve a Europa! Reconocida como la única que facilita tanto discusión técnica de alto nivel como métodos de aplicación en la industria, ¡es un evento que no pueden perderse! https://bit.ly/2wBNIo8
Como socios de la cumbre, los miembros de AEPIA pueden acceder a las cuatro partes de la cumbre con un solo pase y obtener un 40% de descuento utilizando el código AEPIA20. En la cumbre RE•WORK Deep Learning podrá escuchar las novedades sobre DeepMind, Facebook AI, NASA, Google Brain, Airbus y más. Puede acceder a la agenda completa y la lista de oradores aquí: https://bit.ly/2wBNIo8
Abierta la inscripción para la 5ª edición del Big Data & AI Congress que se celebrará en el Centro de convenciones AXA de Barcelona el próximo 17 de octubre de 2019. Éste año el congreso tratará las temáticas: Strategy & Trends y Technology & Development. La inscripción es gratuita hasta agotar plazas. Más información en https://bigdatacongress.barcelona/es/inscripciones/
11th International Joint Conference on Computational Intelligence (IJCCI)
The purpose of the IJCCI is to bring together researchers, engineers and practitioners on the areas of Fuzzy Computation, Evolutionary Computation and Neural Computation. IJCCI is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas.
Co-located conference of IJCCI:
- 11th International Conference on Evolutionary Computation Theory and Applications (ECTA 2019)
- 11th International Conference on Fuzzy Computation Theory and Applications (FCTA 2019)
- 11th International Conference on Neural Computation Theory and Applications (NCTA 2019)
Regular Paper Submission: April 29, 2019
For more information: http://www.ijcci.org/
21-23 November, Madrid, Spain
Call for papers
The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data analysis, data mining and their associated learning systems and paradigms. Main research themes include:
- Big Data challenges
- Machine Learning
- Data Mining
- Information Retrieval and Management
- Bio- and Neuro-Informatics
- Bio-Inspired Models
- Agents and Hybrid Intelligent Systems
- Real-world Applications of Intelligent Techniques
Call for Workshops and Special Sessions
Researchers and prospective organizers are invited to submit a one-page proposal for a special session to the conference address. Each proposal should include:
- The title of the special session
- The organizers with their affiliations
- A description of why the topic is of special interest and how it fits to the scope of IDEAL
Workshop proposals should also include the following:
- The name(s) of the presenter(s) of the introductory talk.
- A theme for the discussion.
Authors are invited to submit their manuscripts (in pdf format) written in English by the deadline via the Easychair online submission system (https://easychair.org/conferences/?conf=ideal2018). Papers should be within 8 pages but must not exceed 10 pages, and must comply with the format of Springer LNCS/LNAI Proceedings (see www.springer.com/lncs ). Information about submissions to Workshop/Special Sessions can be seen in the conference website.
15 June 2018
Special Session/ Workshop Proposals Deadline
8 June 2018
Notification of Acceptance
10 July 2018
Camera-Ready Copy Due
31 July 2018
31 July 2018
21-23 Nov. 2018
- Hojjat Adeli, Ohio State University, EE. UU.
- Francisco Herrera, Granada University, Spain
- David Camacho, Universidad Autónoma de Madrid, Spain
- Hujun Yin, University of Manchester, UK
- Emilio Corchado, Salamanca University, Spain
- Carlos Cotta, Universidad de Málaga, Spain
- Antonio Tallon, University of Seville, Spain
- Paulo Novais, Universidade do Minho, Portugal
For all general information concerning IDEAL 2018, contact:
27 de abril de 2018, Madrid
Más información y registro gratuito en:
10:00 - Registro de participantes – (Entrega de certificados)
10:30 - Presentación: Victoria López, Grupo GRASIA-G-TeC, SocialBigData-CM
-- Jorge Gómez (UCM): Co-creation of Ambient Assisted Living Solutions through 3D simulations, Grupo GRASIA!
--David Lois (UNED), Perspectiva psicosocial, elementos emocionales y creencias en las redes sociales
-- Luis de la Fuente (UNIR): Aplicación e Investigación de Learning Analytics: Pequeñas y grandes ideas.
11:30 - Descanso Café
--Pedro Rico (ESRI) ESRI School Program: ayudando a la transformación digital en la educación.
--Juan C. Muria (FUJITSU): Desafíos del Big Data en el sector salud
--Roberto Magro Pedroviejo (Grupo de Trabajo de Datos Abiertos de la RED de Entidades locales por la transparencia y participación ciudadana de la FEMP): Guía de Datos Abiertos
--Adolfo Antón (MediaLab Prado): Periodismo de Datos
13:30 - Mesa redonda: “Avances en Educación, Salud y Sociedad con la Ciencia de Datos”
14:30 - Clausura y Brunch Social
Inscripción gratuita hasta completar aforo (100 plazas)
The Program Committee of the 27th International Joint Conference on Artificial Intelligence (IJCAI-ECAI-18), joint with the the 23rd European Conference on Artificial Intelligence, invites the submission of technical papers for the main technical track of the conference which will be held in Stockholm, Sweden, from July 13th to July 19th, 2018. Submissions are invited on significant, original, and previously unpublished research on all aspects of artificial intelligence. All papers will receive mindful and rigorous reviews. For nearly a half-century, IJCAI has remained the premier conference bringing together the international AI community to communicate the advances and celebrate the achievements of artificial intelligence research and practice. It is a highly-referenced conference that will provide authors with useful critical feedback. ECAI, which has been running every two years since 1982, has become the leading conference for this field in Europe. This is the first time that IJCAI and ECAI are joint. With the current explosive interest in AI and its applications, this conference is guaranteed to provide an exciting forum to present and hear about cutting-edge research in AI.
IJCAI-ECAI-18 welcomes submissions across all areas of AI. The conference scope includes all subareas of AI, including (but not limited to) traditional topics such as machine learning, search, planning, knowledge representation, reasoning, constraint satisfaction, natural language processing, robotics and perception, and multiagent systems. We expressly encourage work that cuts across technical areas and/or integrated capabilities. We encourage all types of contributions including theoretical, engineering and applied. We also encourage papers on AI techniques in the context of novel application domains, such as security, sustainability, health care, transportation, and commerce.
The special theme of IJCAI-ECAI-18 is the evolution of the contours of AI. There will be a corresponding special track with a specific call for papers.
Abstract submission deadline: January 25, 2018 (11:59PM UTC-12)
Paper submission: January 31, 2018 (11:59PM UTC-12)
Rebuttal period: March 19-23, 2018
Notification of acceptance/rejection: April 16, 2018
Information about camera-ready deadlines will be provided to authors at a later date.
Submission Site: http://ijcai2018.confmaster.net
For formatting Guidelines, LaTeX Styles and Word Template, see more information on http://ijcai-18.org/cfp/
This summer school will be held in Boadilla del Monte, near Madrid, from June 26th to July 7th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.
For the third time in a row, INOMICS has selected our summer school as one of the world's top ten summer schools in mathematics and statistics. You can read more at http://bit.ly/2oR00GI
Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:
There is a 25% discount for members of Spanish AEPIA and SEIO societies.
Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Alberto Ogbechie.
*** List of courses ***
* Week 1 (June 26th - June 30th, 2017) *
1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
Course 2: Time Series(15 h)
2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
Course 4: Bayesian Inference (15 h)
3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
Course 6: Unsupervised Pattern Recognition (15 h)
* Week 2 (July 3rd - July 7th, 2017) *
1st session: 9:45-12:45
Course 7: Statistical Inference (15 h)
Course 8: Big Data with Apache Spark (15 h)
2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
Course 10: Feature Subset Selection (15 h)
Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka.
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
Course 12: Hidden Markov Models (15 h)
7th and 8th March 2017, Barcelona
It cannot be denied that Artificial Intelligence is having a growing impact in many areas of human activity. It is helping humans to communicate with each other, even beyond linguistic boundaries, find information in the vast resources available on the web, solve challenging problems that go beyond the competence of a single expert, and enable the deployment of autonomous systems, such as self-driving cars, that handle complex interactions with the real world with little or no human intervention. These applications are perhaps not like the fully autonomous conscious intelligent robots that science fiction stories have been predicting, but they are nevertheless very important and useful, and most importantly they are real and here today.
But neither can it be denied that Artificial Intelligence comes with certain risks. Many people (including luminaries such as Bill Gates or Stephen Hawking) believe that the main risk of artificial intelligence is that it gets out of hand. Machines that can learn, reconfigure themselves, and make copies of themselves may outrun the human race, become smarter than us and take over. To researchers in the field this risk seems far-fetched. But they see other risks which are already upon us and need urgent remediation.
Concretely, AI algorithms, particularly those embedded in the web and social media, are having an important impact on who talks with whom, how information is selected and presented, and how facts (justified or fake) propagate and compete in public space. However these AI algorithms are now held (at least partly) responsible for allowing the emergence of a post-truth world, highjacking democratic decision processes, and dangerously polarizing society. These developments are making it much more difficult to deal with the big issues facing our society, such as mitigating climate change, diminishing pollution, achieving economic prosperity for an exploding population, coping with massive migration, etc. They all require determined collective action and therefore a political consensus.
This B·Debate, organized by Biocat and "la Caixa" Foundation, together with the Institut de Biologia Evolutiva (IBE - CSIC/UPF) and the Institut d'Investigacio en Intel-ligencia Artificial (CSIC), brings together top experts concerned with the benefits and risks of AI, particularly, but not exclusively, in the domain of web and social media, and seeks to come up with ways to deal with these new challenges.
The first day (March 7th) is a closed meeting with experts (by invitation only). The second day of the debate (March 8th) is an open session with previous registration.
ICREA Research Professor. Institut de Biologia Evolutiva
October 4-6, 2017 - Granada, Spain
The 11th International Conference on Scalable Uncertainty Management (SUM) will be held in Granada, Spain on October 4-6, 2017. The conference will bring together researchers who are working with imperfect information in fields such as artificial intelligence, databases, data mining, information retrieval, and risk analysis with
the aim of fostering collaboration and cross-fertilization of ideas from different communities.
An originality of SUM is that it gives a large space to tutorials about a large range of topics related to uncertainty management. Each tutorial provides a 45 minute survey of one of the research areas in the scope of the conference.
Topics of Interest:
We solicit papers on the management of large amounts or complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to):
- Imperfect information in databases
- Methods for modeling, indexing, and querying uncertain databases
- Top-k queries, skyline query processing, and ranking
- Approximate, fuzzy query processing
- Uncertainty in data integration and exchange
- Uncertainty and imprecision in geographic information systems
- Probabilistic databases and possibilistic databases?
- Data provenance and trust
- Data summarization
- Very large datasets
- Imperfect information in information retrieval and semantic web applications
- Approximate schema and ontology matching
- Uncertainty in description logics and logic programming
- Learning to rank, personalization, and user preferences
- Probabilistic language models
- Combining vector-space models with symbolic representations
- Inductive reasoning for the semantic web
- Imperfect information in artificial intelligence
- Statistical relational learning, graphical models, probabilistic inference
- Argumentation, defeasible reasoning, belief revision
- Weighted logics for managing uncertainty
- Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory
- Approximate reasoning, similarity-based reasoning, analogical reasoning
- Planning under uncertainty, reasoning about actions, spatial and temporal reasoning
- Incomplete preference specifications
- Learning from data
- Risk analysis
- Aleatory vs. epistemic uncertainty
- Uncertainty elicitation methods
- Uncertainty propagation methods
- Decision analysis methods
- Tools for synthesizing results
Accepted long and short papers will be published by Springer in the Lecture Notes in Artificial Intelligence series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts will be expected to present their work
during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet).
- Deadline for submissions: April 3, 2017
- Notification: May 22, 2017
- Camera-ready copies: June 12, 2017
- Conference: October 4-6, 2017