Logo GAIA

Group of Artificial Intelligence Applications

Departamento de Ingeniería del Software e Inteligencia Artificial

Facultad de Informática

UCM

About GAIA

The Group for Artificial Intelligence Applications is a group of professors and graduate students interested in basic and applied AI research, working in the Dpt. of Software Engineering and Artificial Intelligence at Complutense University of Madrid.

Regarding basic research our aim is to advance the state of the art in AI research related to Case-Based Reasoning (CBR), Knowledge Acquisition and Machine Learning. Our main focus is on cost-effective solutions to inject knowledge into CBR systems, empowering CBR knowledge-light approaches with off-the-shelf knowledge components and knowledge mined from readily available data.

People in GAIA

Irene Camps Ortueta
Irene Camps Ortueta
(Ph.D.)
Marta Caro-Martínez
Marta Caro-Martínez
(Ph.D.)
Jesús Darias
Jesús Darias
(Ph.D. Student)
Belén Díaz Agudo
Belén Díaz Agudo
(Ph.D.)
Mercedes Gómez Albarrán
Mercedes Gómez Albarrán
(Ph.D.)
Marco Antonio Gómez Martín
Marco Antonio Gómez Martín
(Ph.D.)
Pedro Pablo Gómez Martín
Pedro Pablo Gómez Martín
(Ph.D.)
Pedro Antonio González Calero
Pedro Antonio González Calero
Leader (Ph.D.)
Pablo Gutiérrez Sánchez
Pablo Gutiérrez Sánchez
Guillermo Jiménez Díaz
Guillermo Jiménez Díaz
(Ph.D.)
Sergio Mauricio Martínez Monterrubio
Sergio Mauricio Martínez Monterrubio
(Ph.D.)
Humberto Parejas Llanovarced
Humberto Parejas Llanovarced
(Ph.D.)
Juan A. Recio García
Juan A. Recio García
(Ph.D.)
Ismael Sagredo Olivenza
Ismael Sagredo Olivenza
(Ph.D.)
Antonio A. Sánchez Ruiz-Granados
Antonio A. Sánchez Ruiz-Granados
(Ph.D.)

Our Research

These are the research lines in which the members of the GAIA group are working on

Explainable CBR
Explainable CBR
Explainable CBR

Case-based Reasoning for the explanation of intelligent systems.

AI for games
AI for games
AI for games

Artificial Intelligence techniques for facilitating the creation of behavior in video games

Graph-based explanations
Graph-based explanations
Graph-based explanations

A User-Centric Explanation Approach forRecommender Systems Using Personalized KnowledgeElicitation and Interactive Graph-based Visualizations

Serious games
Serious games
Serious games

Different applications of serious games

¡Acepta el reto!
¡Acepta el reto!
¡Acepta el reto!

Take on the challenge! Spanish online judge with programming problems

User modeling in games
User modeling in games
User modeling in games

User modeling techniques for personalizing the game experience

Collaborative agents
Collaborative agents
Collaborative agents

UCM agents for the Geometry Friends game AI competition

XAI FOR HIP FRACTURE DETECTION
XAI FOR HIP FRACTURE DETECTION
XAI FOR HIP FRACTURE DETECTION

Explainable AI With Visual and Textual Explanations for Hip Fracture Detection

Our Projects

These are the funded projects developed by members of the GAIA group

AI tools 4 Games
AI tools 4 Games
AI tools 4 Games

AI tools for games project

SPICE
SPICE
SPICE

Social cohesion, Participation, and Inclusion through Cultural Engagement - Horizon 2020 programme

iSee
iSee
iSee

Intelligent Sharing of Explanation Experience by Users for Users - CHIST-ERA programme

PerSo
PerSo
PerSo

Social personalization in recommender systems

PERXAI
PERXAI
PERXAI

Personalized Explainable Artificial Intelligence from experiential knowledge

AUDITIA-X
AUDITIA-X
AUDITIA-X

Auditing of AI systems through explainability (AUDITIA-X)

Our Software

Behavior Bricks
Behavior Bricks
Behavior Bricks

Behavior Trees editor for Unity Engine

Colibri
Colibri
Colibri

Colibri platform for the development of Case-Based Reasoning systems

Ontologies
Ontologies
Ontologies

Ontologies developed by the GAIA group

TeXiS
TeXiS
TeXiS

LaTeX template for theses and other documents (spanish)

OntoBridge
OntoBridge
OntoBridge

OntoBridge is a java library that eases the management of ontologies.

MsPacMan Vs Ghosts
MsPacMan Vs Ghosts
MsPacMan Vs Ghosts

MsPacMan Vs Ghosts competition environment to develop and test AI techniques for building Intelligent Behaviours

Knowledge Transfer

Behavior Bricks
Behavior Bricks
Behavior Bricks

Behavior Trees editor for Unity Engine

KBS
KBS
KBS

Case-Based Personalization of Device-Assisted Back Pain Therapy.

Fraud Detection
Fraud Detection
Fraud Detection

Real-time detection system for telecommunications fraud using behavior patterns, statistical analysis and machine learning

Venture Capital
Venture Capital
Venture Capital

Start-ups assesment using Machine Learning and Artificial Intelligence

Past members

David Llansó García
David Llansó García
(Ph.D.)
Gonzalo Flórez Puga
Gonzalo Flórez Puga
(Ph.D.)
Jose Luis Jorro-Aragoneses
Jose Luis Jorro-Aragoneses
(Ph.D.)
Diana Lora
Diana Lora
(Ph.D.)