Group of Artificial Intelligence Applications (original) (raw)

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

(Ph.D.)

Marta Caro-Martínez

(Ph.D.)

Jesús Darias

(Ph.D. Student)

Belén Díaz Agudo

(Ph.D.)

Mercedes Gómez Albarrán

(Ph.D.)

Marco Antonio Gómez Martín

(Ph.D.)

Pedro Pablo Gómez Martín

(Ph.D.)

Pedro Antonio González Calero

Leader (Ph.D.)

Pablo Gutiérrez Sánchez

Guillermo Jiménez Díaz

(Ph.D.)

Sergio Mauricio Martínez Monterrubio

(Ph.D.)

Humberto Parejas Llanovarced

(Ph.D.)

Juan A. Recio García

(Ph.D.)

Ismael Sagredo Olivenza

(Ph.D.)

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

Case-based Reasoning for the explanation of intelligent systems.

AI for games

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

Graph-based explanations

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

Serious games

Different applications of serious games

¡Acepta el reto!

Take on the challenge! Spanish online judge with programming problems

Our Projects

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

SPICE

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

iSee

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

PerSo

Social personalization in recommender systems

PERXAI

Personalized Explainable Artificial Intelligence from experiential knowledge

AUDITIA-X

Auditing of AI systems through explainability (AUDITIA-X)

Our Software

Colibri

Colibri platform for the development of Case-Based Reasoning systems

Ontologies

Ontologies developed by the GAIA group

TeXiS

LaTeX template for theses and other documents (spanish)

OntoBridge

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

MsPacMan Vs Ghosts

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

Knowledge Transfer

KBS

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

Fraud Detection

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

Venture Capital

Start-ups assesment using Machine Learning and Artificial Intelligence

Past members

David Llansó García

(Ph.D.)

Gonzalo Flórez Puga

(Ph.D.)

Jose Luis Jorro-Aragoneses

(Ph.D.)

Diana Lora

(Ph.D.)