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CAEPIA 2021 : Conference of the Spanish Association for Artificial Intelligence

CAEPIA 2021 : Conference of the Spanish Association for Artificial Intelligence

Malaga , Spain

Submission Deadline: Tuesday 15 Jun 2021

Conference Dates: Sep 22, 2021 - Sep 24, 2021

Research
Impact Score 0.99

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 0.99
Contributing Top Scientist: 8
Papers published by Top Scientists 14
Research Ranking (Computer Science) 858

Conference Call for Papers

Topics
AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
Intelligent Sensor data fusion and collaboration in multi-sensor systems and networks
Use of mobile, wireless, visual, and multi-modal sensor networks in intelligent systems
Mobile/wearable intelligence
Self-adaptive AmI systems
Context awareness
Cognitive and emotional awareness
Behavior modeling
Intention recognition
Scene and event modeling, representation, and reconstruction
Applications in health care, smart homes and smart buildings
Modeling environments (homes, hospitals, transportation, roads, offices)
COMPUTER VISION AND ROBOTICS
Image / video analysis
Biomedical Image analysis
Activity / behavior recognition
Feature extraction, grouping and segmentation
Perception systems
Biometrics
Robot control
Mobile robotics
Micro robots and micro-manipulation
Localization, navigation and mapping
CONSTRAINTS, SEARCH AND PLANNING
A.I. in Planning Games
Constraint Optimization
Constraint Satisfaction
Dynamic Programming
Heuristic Search
Hierarchical Task Networks
Markov Decision Processes
Partially Observable Markov Decision Processes (POMDPs)
Real Time Planning
Satisfiability
Scheduling
Theoretical Foundations of Planning
CREATIVITY AND ARTIFICIAL INTELLIGENCE
Artificial intelligences based Art creations
Artificial Intelligence based Music
Artificial intelligence and literature/news generation
Artificial intelligence creativity
EDUCATION AND A.I.
Educational data mining
Machine Learning in Assisted Learning Systems
Collaborative learning environments
Virtual learning agents and virtual colleagues
Smart teaching systems and simulations
Smart teaching systems and gamification
Student modeling
Standards, authoring tools and development methodologies
Technologies for specific learning domains
EXPLAINABLE AND RESPONSIBLE A.I.
Transparency in artificial intelligence models
Post-Hoc Explicability Techniques for Artificial Intelligence Models
Ethics in data-based learning
Traceability of artificial intelligence models
Reliability of learning artificial intelligence models
Detection and treatment of bias in artificial intelligence data and models
Methodology for an ethical and responsible use of artificial intelligence
Security and data privacy in artificial intelligence models
Neuro-symbolic reasoning to explain data-driven knowledge
Evaluation of the interpretability of artificial intelligence models
Creation of counter-examples for the inspection of artificial intelligence models
Explicability and data fusion
FOUNDATION, MODELS AND APPLICATIONS OF A.I.
Foundations on Artificial Intelligence
Artificial Intelligence based models
Artificial Intelligence based Applicadtions
Cognitive aspects of Artificial Intelligence
Emergent Artificial Intelligence topics
Artificial Intelligence and Philosophy
FUZZY LOGIC
Fundamentals of Fuzzy Logic
Uncertainty modeling
Knowledge acquisition and representation
Approximate reasoning
Decision making
Information aggregation models and techniques
Fuzzy databases
Fuzzy logic and data mining
Information retrieval
Smart systems on the web
Computing with words
System modelling
Fuzzy control
Hardware for fuzzy logic
Applications
INTELLIGENT WEB AND INFORMATION RETRIEVAL
Answer Search Systems
Digital Libraries
Information Extraction
Information Integration
Information Retrieval
Recommender Systems
Semantic web
Web mining
Web 2.0
KNOWLEDGE REPRESENTATION, REASONING AND LOGIC
Action, Change and Causality
Computational Argumentation
Automated Reasoning
Knowledge Representation
Computational Logic
Description Logics and Ontologies
Preferences and Beliefs
Logic Programming
Case-Based Reasoning
Model-Based Reasoning
Qualitative Reasoning
Spatial and Temporal Reasoning
Diagnosis and Abductive Reasoning
Nonmonotonic Reasoning
Knowledge Representation
MACHINE LEARNING
Clustering
Classification
Feature Selection
Bayesian Networks and Markov Networks
Learning from different types of data
Machine Learning in non-standard situations
Data reduction and/or transformation
Learning from big data
Machine Learning Applications
MULTI-AGENT SYSTEMS
Adaptation and self-organization
Agent-Based Architectures and Programming
Agent-Based Simulation and Emergent Behavior
Agent Communication Languages
Agreement Technologies (coordination, negotiation, argumentation, rules, confidence)
Methodologies and Infrastructures (platforms, tools, environment)
Social, Organizing and Institutional Approximations
Agent-Based Modeling
NATURAL-LANGUAGE PROCESSING
Syntactic Analysis and Grammatical Inference
Text Classification and Subjects
Automatic Abstract Generation
Lexical Disambiguation of Words
Discourse, Dialogue and Pragmatics
Text Mining
Natural Language Modeling
Natural Language Processing
Multilingual Language Processing
Speech Recognition
Question Answering
Machine Translation
OPEN DATA AND ONTHOLOGIES
Linked Open Data
Knowledge Graphs
High level and domain specific ontologies
Ontology driven information systems
Ontology Alignment
Ontology and Experimental Data
OPTIMIZATION AND SEARCH
Applications of search and Optimization
Bio-inspired Methods
Hybrid Algorithms
Mathematical Programming
Metaheuristics
Optimization, Search and Learning
Parallel Algorithms
Local and Global Optimization
Theory of Search and Optimization
UNCERTAINTY IN A.I.
Approximate Reasoning
Bayesian Networks
Decision/Utility Theory
Exact and Approximate Probabilistic Inference
Modeling, Inference, Learning and Decision Making under Uncertainty
Preference Elicitation
Probabilistic Graphical Models

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