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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.
The Technical University of Madrid (UPM) will once more organize the 'Advanced Statistics and Data Mining' summer school. The summer school will be held in Boadilla del Monte, near Madrid, from June 29th to July 10th. 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.
Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:
*** List of courses and brief description ***
* Week 1 (June 29th - July 3rd, 2015) *
1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R.
Course 2: Time Series(15 h)
Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R.
2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms.
Course 4: Bayesian Inference (15 h)
Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs.
3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks.
Course 6: Unsupervised Pattern Recognition (15 h)
Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R.
* Week 2 (July 6th - July 10th, 2015) *
1st session: 9:45-12:45
Course 7: Statistical Inference(15 h)
Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R.
Course 8: Bayesian Classifiers (15 h)
Discrete predictors. Gaussian Bayesian networks-based classifiers. Other Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, semi-supervised learning, data streams, temporal data. Practical session: R.
2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
Introduction. Fundamentals. Language Modeling. String Processing. Text Classification. Information Extraction. Practical session: GATE (optionally, python).
Course 10: Feature Subset Selection (15 h)
Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka.
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Convex Optimization (15 h)
Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization.
Course 12: Hidden Markov Models (15 h)
Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.
9th International Symposium on Intelligent Distributed Computing
University of Minho, Guimarães, Portugal
7th-9th October 2015
CALL FOR SPECIAL SESSIONS
The emergent field of Intelligent Distributed Computing focuses on the development of a new generation of intelligent distributed systems. It faces the challenges of adapting and combining research in the fields of Intelligent Computing and Distributed Computing.
IDC'15 Special Sessions will be a very useful tool in order to complement the regular program with new or emerging topics of particular interest in the field of Intelligent Distributed systems. Special Sessions that emphasize on multi-disciplinary and transversal aspects, as well as cutting-edge topics are especially encouraged and welcome.
All papers accepted for publication in the Special Sessions will be published in the IDC 2015 proceedings published by Springer in the Computational Intelligence.
The proposal should contain the following information:
• Special sessions title.
• A brief description of the specific scientific/technical scope of the special sessions (max 500 words).
• A list of topics of interest (max 15 topics).
• The reasons why the special session should be held within IDC’2015.
• Name, postal address, phone and email address of all the members of the International Organizing Committee.
• Identification of the member of the Organizing Committee who is the contact person.
• The list of members of the proposed Special Session Program Committee.
• A preliminary version of the Special Session Call for Papers.
• Planned forms of publicizing the Special Session.
• A list of audio-visual or technical requirements and any special room requirements.
• Specific initiatives to support and improve the quality of the overall symposium.
Proposals are due before November 10th, 2014 and should be sent by e-mail, the Special Session Committee (see below).
Special Sessions proposals will be evaluated based on the timeliness of the topic, the qualifications of the organizers, and the balance of the topics across the technical areas represented in the symposium.
Notification of acceptance will be sent to the organizers by November 17th, 2014.
The procedure for the submission of the final papers is the same for all contributions, and it will be made through the IDC 2015 web site. The authors are asked to indicate the Special Session title to which their paper is submitted.
SPECIAL SESSIONS Chair
Davide Carneiro ISLab/University of Minho
Cesar Analide University of Minho
9th International Symposium on Intelligent Distributed Computing
University of Minho, Guimarães, Portugal
7th-9th October 2015
CALL FOR PAPERS
The emergent field of Intelligent Distributed Computing focuses on the development of a new generation of intelligent distributed systems. It faces the challenges of adapting and combining research in the fields of Intelligent Computing and Distributed Computing. Intelligent Computing develops methods and technology ranging from classical artificial intelligence, computational intelligence and multi-agent systems to game theory.
The field of Distributed Computing develops methods and technology to build systems that are composed of interacting and collaborating components. The symposium welcomes submissions of original papers on all aspects of intelligent distributed computing ranging from concepts and theoretical developments to advanced technologies and innovative applications.
Paper acceptance and publication will be judged on the basis of their relevance to the symposium themes, clarity of presentation, originality and accuracy of results and proposed solutions. Symposium topics include, but are not limited to:
Intelligent Distributed and High-Performance Architectures
- Hybrid distributed systems involving software agents and human actors
- Intelligent grid and cloud infrastructures
- Agent-based wireless sensor networks
- Distributed frameworks and middleware for the Internet of Things
- GPU, multicore, and many-core intelligent computing
- Intelligent high-performance architectures
- Virtualization infrastructures for intelligent computing
- Bio-inspired and nature-inspired distributed computing
- Context-aware intelligent computing
Organization and Management
- Autonomic and adaptive distributed computing
- Intelligent service composition and orchestration
- Self-organizing and adaptive distributed systems
- Emerging behaviors in complex distributed systems
- Intelligent integration of heterogeneous data and processes
- Methodologies for development of intelligent distributed systems and applications
Intelligent Distributed Knowledge Representation and Processing
- Information extraction and retrieval in distributed environments
- Knowledge integration and fusion from distributed sources
- Data mining and knowledge discovery in distributed environments
- Semantic and knowledge grids
- Ontologies and meta-data for describing heterogeneous resources and services
- Distributed fusion of sensor data streams
- E-service and web intelligence
- Intelligence in mobile, ubiquitous and wearable computing
- Intelligence in peer-to-peer systems
- Intelligence in distributed and networked multimedia systems
- Security, privacy, trust and reputation
Intelligent Distributed Applications
- Distributed problem solving and decision making
- Intelligent applications in e-business/e-commerce, e-learning, e-health, e-science, e-government, crisis management, smart grid
- Modeling, simulation and development of intelligent distributed systems
- Simulation of groups and crowds
- Intelligent data processing
- Intelligent robots
- Intelligent environments
Paper Submission and Publication
All accepted papers will be included in the Symposium Proceedings, which will be published by Springer as part of their series Studies in Computational Intelligence. Papers must have at most 10 pages length and must be formatted according to Springer format for Proceedings and Other Multiauthor Volumes (Latex only) available at:
Submissions and reviews are automatically handled by Easychair. Please submit your paper at: http://algoritmi.uminho.pt/IDC2015
Extended versions of the best papers accepted and presented at this symposium may be considered for publication in a Special Issue of an internationally recognized journal.
Full paper submission: March 30, 2015
Notification of acceptance: April 24, 2015
Final (camera ready) paper due: May 22, 2015
Symposium: October 7-9, 2015
For more information regarding this call for papers, the 9th IDC conference, please refer to the IDC 2015 website:
Costin Badica University of Craiova, Romania
David Camacho Universidad Autonoma de Madrid, Spain
Filip Zavoral Charles University Prague, Czech Republic
Frances Brazier Delft University of Technology, The Netherlands
George A. Papadopoulos University of Cyprus, Cyprus
Giancarlo Fortino University of Calabria, Italy
Janusz Kacprzyk Polish Academy of Sciences, Poland
Kees Nieuwenhuis Thales Research & Technology, The Netherlands
Marcin Paprzycki Polish Academy of Sciences, Poland
Michele Malgeri University of Catania, Italy
Mohammad Essaaidi Abdelmalek Essaadi University in Tetuan, Morocco
Paulo Novais University of Minho, Portugal
Paulo Novais - ISlab/University of Minho
Cesar Analide - ISlab/University of Minho
Program Committee Chairs:
Amal El Fallah Seghrouchni - LIP6 - University Pierre and Marie Curie, France
David Camacho - Universidad Autonoma de Madrid, Spain
Paulo Novais - University of Minho, Portugal
The 25th International Conference on Computational Linguistics (Coling 2014)
Dublin, Ireland, 23-29 August, 2014
Coling will cover a broad spectrum of technical areas related to natural language and computation. The conference will include full papers (presented as oral presentations or posters), demonstrations, tutorials, and workshops.
TOPICS OF INTEREST:
Coling 2014 solicits papers and demonstrations on original and unpublished research on the following topics, including, but not limited to:
• pragmatics, semantics, syntax, grammars and the lexicon;
• cognitive, mathematical and computational models of language processing;
• models of communication by language;
• lexical semantics and ontologies;
• word segmentation, tagging and chunking;
• parsing, both syntactic and deep;
• generation and summarisation;
• paraphrasing, textual entailment and question answering;
• speech recognition, text-to-speech and spoken language understanding;
• multimodal and natural language interfaces and dialogue systems;
• information retrieval, information extraction and knowledge base linking;
• machine learning for natural language;
• modelling of discourse and dialogue;
• sentiment analysis, opinion mining and social media;
• multilingual processing, machine translation and translation aids;
• applications, tools and language resources;
• system evaluation methodology and metrics.
February 2014: Opening of the submission website https://www.softconf.com/coling2014/main/
March 21, 2014, 23.59, UTC -12: Paper submission deadline
May 9-12, 2014: Author response period
May 23, 2014: Author notification
June 6, 2014: Camera-ready PDF due
August 11, 2014: Official paper publication date
August 25-29, 2014: Main conference
The 9th International Conference on Hybrid Artificial Intelligence Systems.
June 11th-13th, 2014
The 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS’14) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. Hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, high-dimensionality. They provide us with the opportunity to use both, our knowledge and row data to solve problems in a more interesting and promising way. HAIS Series of Conferences provides an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in this multidisciplinary research field.
Paper submission deadline 22nd February 2014
*** PAPER SUBMISSION AND PROCEEDINGS***
HAIS'14 proceedings will be published by Springer in its series of Lecture Notes in Artificial Intelligence - LNAI (part of its prestigious Lecture Notes in Computer Science - LNCS series) . All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. Every submitted paper to HAIS´14 will be reviewed by at least 3 members of the Program Committee.
All accepted papers must be presented by one of the authors who must register for the conference and pay the fee.
Papers must be prepared according to the LNCS-LNAI style template ( http://www.springer.de/comp/lncs/authors.html ) (templates are available in http://hais14.usal.es/?q=node/8 ) and must be no more than ten (12) pages long, including figures and bibliography. Additional pages (over 12 pages) will be charged at 150 Euro each.
***REGISTRATION SYSTEM IS OPEN****
Please, register by 5 th April through the following link:
***NEW SUBMISSION LINK****
Please, submit your contributions through the following link:
***JOURNAL SPECIAL ISSUES***
Authors of the best papers presented at HAIS 2014 will be invited to submit an extended version to highly reputed international journals, Up to now:
1. Neurocomputing. Impact Factor 1.634
2. Logic Journal of IGPL. Impact Factor 1.136
Emilio Corchado - University of Salamanca, Spain.
Jeng-Shyang Pan - National Kaohsiung University of Applied Sciences, Taiwan
André C.P.L.F. de Carvalho - University of São Paulo, Brazil
Marios Policarpou - University of Cyprus, Cyprus
Ajith Abraham - Machine Intelligence Research Labs, Europe
Michal Wozniak - Wroclaw University of Technology, Poland
Technical Co-Sponsors by:
IEEE Spain Section
IEEE.-Systems, Man, and Cybernetics Spanish Chapter
Machine Intelligence Research Labs (MIR Labs)
Spanish Association for Artificial Intelligence (AEPIA)
Topics are encouraged, but not limited to, the combination of at least two of the following areas in the field of Hybrid Intelligent Systems:
- Fusion of soft computing and hard computing
- Evolutionary computation
- Hybrid machine learning techniques for time series analysis
- Visualization techniques
- Ensemble techniques
- Data mining and decision support systems
- Intelligent agent-based systems (complex systems), cognitive and reactive distributed AI systems
- Internet modelling
- Human interface
- Case base reasoning
- Chance discovery
- Applications in security, prediction, control, robotics, image and speech signal processing, time series analysis food industry, biology and medicine, business and management, knowledge management, artificial societies, chemicals, pharmaceuticals, geographic information systems, materials and environment engineering and so on.
*** IMPORTANT DATES ***
Paper submission deadline 22nd February 2014
Acceptance notification 10th March 2014
Submission of (tentatively accepted) revised papers 15th March 2014
Final version submission 31st March 2014
Conference dates 11th - 13th June 2014
Payment deadline 5th April 2014
14th European Conference on Logics in Artificial Intelligence
Madeira Island, Portugal
September 24-26, 2014
Aims and Scope:
The aim of JELIA 2014 is to bring together active researchers interested in all aspects concerning the use of logics in
Artificial Intelligence to discuss current research, results, problems, and applications of both theoretical and practical
nature. JELIA strives to foster links and facilitate cross-fertilization of ideas among researchers from various
disciplines, among researchers from academia and industry, and between theoreticians and practitioners.
Authors are invited to submit papers presenting original and unpublished research in all areas related to the use of
logics in Artificial Intelligence including:
* Abductive and inductive reasoning
* Answer set programming
* Applications of logic-based AI systems
* Argumentation systems
* Automated reasoning including satisfiability checking and its extensions
* Computational complexity and expressiveness
* Deontic logic and normative systems
* Description logics and other logical approaches to semantic web and ontologies
* Knowledge representation, reasoning, and compilation
* Logic-based data access and integration
* Logic programming and constraint programming
* Logics for uncertain and probabilistic reasoning
* Logics in machine learning
* Logics in multi-agent systems, games, and social choice
* Non-classical logics, such as modal, temporal, epistemic, dynamic, spatial, paraconsistent, and hybrid logics
* Planning and diagnosis based on logic
* Reasoning about actions and causality
* Updates, belief revision and nonmonotonic reasoning
Abstract submission deadline: May 19, 2014
Paper submission deadline: May 23, 2014
Author Rebuttal: June 26-27, 2014
Notification of acceptance: July 4, 2014
Final versions due: July 18, 2014
Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems (COPLAS)
Portsmouth, USA June 22-23, 2014
The workshop aims at providing a forum to discuss novel issues on planning, scheduling, and constraint satisfaction problems. Solutions to many real-world problems need to integrate plan synthesis capabilities with time and resource allocation, which can be efficiently managed by constraint satisfaction and OR techniques. Formulations of P&S problems as CSPs, resource and temporal global constraints, and inference techniques are of particular interest of COPLAS.
Submission deadline: February 20, 2014
Notification: March 20, 2014
Final version: March 30, 2014
Workshop Program Chairs
The Seventh European Workshop on Probabilistic Graphical Models (PGM 2014)
September 17-19, 2014
Utrecht, The Netherlands
The aim of the workshop is to bring together people interested in probabilistic graphical models and to provide a forum for discussion of the latest research developments in this field. To promote interactions among the participants, parallel sessions will be avoided and the workshop will be organised around a single thread of plenary and poster sessions. We welcome theoretical and applied contributions related to various aspects of probabilistic graphical models, such as:
- Principles of Bayesian (belief) networks, chain graphs, decision networks, influence diagrams, probabilistic relational models, and other probabilistic graphical models (PGMs).
- Information processing in PGMs (exact and approximate inference).
- Learning and data mining in the context of PGMs: machine learning approaches, statistical testing and search methods, MCMC simulation.
- Exploitation for the construction of PGMs of results from related disciplines such as statistics, information theory, optimization, and decision making under uncertainty.
- Software systems based on PGMs.
- Application of PGMs to real-world problems.
- Deadline for abstract submissions: May 12, 2014
- Deadline for paper submissions: May 16, 2014
- Notification of acceptance: June 23, 2014
- Final versions due: July 18, 2014
- Call for papers opened December 2013 Submission open from March 2014
The 2014 International Conference on Adaptive & Intelligent Systems - ICAIS'14
September 08th - 10th, 2014
- IEEE Computational Intelligence Society
- The International Neural Network Society
* * * AIMS OF THE CONFERENCE * * *
The ICAIS'14 conference aims at bringing together international researchers, developers and practitioners from different horizons to discuss the latest advances in system learning and adaptation.
ICAIS'14 will serve as a space to present the current state of the art but also future research avenues of this thematic. Topics of the conference cover three aspects: Algorithms & theories of adaptation and learning, Adaptation issues in Software & System Engineering, Real- world Applications. ICAIS’14 will feature contributed papers as well as world-renowned guest speakers (see webpage), interactive breakout sessions, and instructional workshops.
* * * IMPORTANT DATES * * *
- Workshop & Special Session proposal: April 13, 2014
- Full paper submission: June 10, 2014
- Acceptance notification: July 01, 2014
- Final camera ready: July 11, 2014
Workshop “Natural computing for protein structure prediction” (Web page)
13th International Conference on Parallel Problem Solving From Nature
September 13-17, 2014 - Ljubljana, Slovenia
The aim of this workshop is to provide a forum for the exchange and communication of ideas, proposals and results related to the use of nature-inspired techniques in problems related to computational protein structure prediction. In tackling this important problem, nature-inspired techniques are currently being used in a variety of ways, but presentations related to this work are often distributed across a range of sessions / conferences / journals dependent on the particular sub-problem considered / algorithm used. It is hoped that this workshop will act as a meeting point for those authors and attendants of the PPSN conference who have a current or developing interest in this area.
Topic areas include (but are not restricted to):
• Use of natural and evolutionary computing algorithms in protein structure prediction (secondary and tertiary).
• Use of natural computing for determining protein classification and protein function.
• Hybrid combinations of algorithms applied to protein structure prediction or protein classification.
• Use of artificial life models like cellular automata or Lindenmayer systems.
• Use of simple and detailed lattice models and CASP (Critical Assessment of Techniques for Protein Structure Prediction) evaluation measures (RMSD, GDT, …).
• Multi-objective approaches.
• Modeling of temporal folding.
• Integration of visualization methods of protein structure within the process with natural computing alternatives.
• Use of surrogate models in order to reduce the computational time of current approaches.
• Parallel implementations (Threads, MPI, OpenMP, GPUs or FPGAs).