Research

Subareas

Description

Contributions to Artificial Intelligence and Data Science:
  • Machine Learning: mainly focused on unsupervised learning (Clustering and Hidden Markov Models). Nevertheless, we have also worked in the application of evolutionary computing (boosting) and Deep Learning (Convolutional Neural Networks) to supervised classification problems.
  • Evolutionary computation: mostly centered on mono and multi-objective Genetic Algorithms and Genetic Programing.
  • Social Network Analysis (SNA): application of AI and Machine Learning techniques to solve problems in complex networks, pattern recognition, development of new SNA algorithms, analysis of SNA technology… etc.
  • Swarm Intelligence: Mostly focused on the study of Ant Colony Optimization(ACO) algorithms.
  • Decision Support Systems: manly geared towards the design of man-in-the-loop information system for decision making in high complexity domains (aeronautics, aerospace, mining, medicine …etc)
  • Constraint Programing: mostly focused on the hybridization of classical Constraint Programming techniques with Evolutionary and Swarm Intelligence algorithms for solving Constraint Satisfaction Problems (CSP) for planning and resource allocation.
  • Graph Computing: we design evolutionary and swarm intelligence algorithms for community detection in complex networks.

Research members

Related Publications

61 entries « 1 of 2 »

2022

Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

SILT: Efficient transformer training for inter-lingual inference Journal Article

In: Expert Systems with Applications, vol. 200, pp. 116923, 2022, ISSN: 0957-4174.

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Stevenson, Emma; Rodriguez-Fernandez, Victor; Urrutxua, Hodei; Camacho, David

Deep learning for all-vs-all conjunction detection Inproceedings

In: 5th Workshop on Key Topics in Orbit Propagation Applied to Space Situational Awareness (KePASSA), Logroño, Spain, 2022.

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Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David

Exploring Dimensionality Reduction Techniques in Multilingual Transformers Miscellaneous

CoRR, 2022.

Abstract | Links | BibTeX

Stevenson, Emma; Rodriguez-Fernandez, Victor; Minisci, Edmondo; Camacho, David

A deep learning approach to solar radio flux forecasting Journal Article

In: Acta Astronautica, vol. 193, pp. 595-606, 2022, ISSN: 0094-5765.

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Panizo-Lledot, Angel; Pedemonte, Mart'in; Bello-Orgaz, Gema; Camacho, David

Addressing Evolutionary-Based Dynamic Problems: A New Methodology for Evaluating Immigrants Strategies in MOGAs Journal Article

In: IEEE Access, vol. 10, pp. 27611–27629, 2022.

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2021

Stevenson, Emma; Rodriguez-Fernandez, Victor; Urrutxua, Hodei; Morand, Vincent; Camacho, David

Self-supervised machine learning based approach to orbit modelling applied to space traffic management Inproceedings

In: 11th International Association for the Advancement of Space Safety Conference (IAASS), (Virtual), Osaka, Japan, 2021.

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Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification Inproceedings

In: Conference and Labs of the Evaluation Forum (CLEF) Working Notes, pp. 520–530, 2021.

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Javadi, Mahrokh; Ramirez-Atencia, Cristian; Mostaghim, Sanaz

Combining manhattan and crowding distances in decision space for multimodal multi-objective optimization problems Incollection

In: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, vol. 55, pp. 131–145, Springer, Cham, 2021, ISBN: 978-3-030-57422-2.

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2020

Stevenson, Emma; Rodriguez-Fernandez, Victor; Minisci, Edmondo; Camacho, David

A deep learning approach to space weather proxy forecasting for orbital prediction Inproceedings

In: 71st International Astronautical Congress (IAC), The CyberSpace Edition, 2020.

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Javadi, Mahrokh; Ramirez-Atencia, Cristian; Mostaghim, Sanaz

A novel grid-based crowding distance for multimodal multi-objective optimization Inproceedings

In: 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1–8, IEEE 2020, ISBN: 978-1-7281-6929-3.

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Ramirez-Atencia, Cristian; Benecke, Tobias; Mostaghim, Sanaz

T-EA: A traceable evolutionary algorithm Inproceedings

In: 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1–8, IEEE 2020, ISBN: 978-1-7281-6929-3.

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Ramirez-Atencia, Cristian; Rodriguez-Fernandez, Victor; Camacho, David

A revision on multi-criteria decision making methods for multi-UAV mission planning support Journal Article

In: Expert Systems with Applications, vol. 160, pp. 113708, 2020, ISSN: 0957-4174.

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Panizo-LLedot, Angel; Bello-Orgaz, Gema; Camacho, David

A multi-objective genetic algorithm for detecting dynamic communities using a local search driven immigrant’s scheme Journal Article

In: Future Generation Computer Systems, vol. 110, pp. 960–975, 2020.

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Pedemonte, Martín; Panizo-LLedot, Ángel; Bello-Orgaz, Gema; Camacho, David

Exploring multi-objective cellular genetic algorithms in community detection problems Inproceedings

In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 223–235, Springer 2020.

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2019

Ramirez-Atencia, Cristian; Camacho, David

Constrained multi-objective optimization for multi-UAV planning Journal Article

In: Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 6, pp. 2467–2484, 2019, ISSN: 1868-5145.

Abstract | Links | BibTeX

Ramirez-Atencia, Cristian; Ser, Javier Del; Camacho, David

Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning Journal Article

In: Swarm and Evolutionary Computation, vol. 44, pp. 480–495, 2019, ISSN: 2210-6502.

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Hernández, Alfonso; Panizo-LLedot, Ángel; Camacho, David

An ensemble algorithm based on deep learning for tuberculosis classification Inproceedings

In: International conference on intelligent data engineering and automated learning, pp. 145–154, Springer 2019.

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2018

Ramirez-Atencia, Cristian

Automated mission planning and decision support systems for multiple unmanned aerial vehicles PhD Thesis

Universidad Autónoma de Madrid, 2018.

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Ramirez-Atencia, Cristian; Rodriguez-Fernandez, Victor; Camacho, David

A multi-criteria decision support system for multi-UAV mission planning Incollection

In: Data Science and Knowledge Engineering for Sensing Decision Support, vol. 11, pp. 1083–1090, World Scientific, 2018, ISBN: 978-981-3273-22-1.

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Panizo-LLedot, Ángel; Bello-Orgaz, Gema; Carnero, Mercedes; Hernández, José; Sánchez, Mabel; Camacho, David

An Artificial Bee Colony algorithm for optimizing the design of sensor networks Inproceedings

In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 316–324, Springer 2018.

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2017

Ramirez-Atencia, Cristian; R-Moreno, Maria D; Camacho, David

Handling swarm of UAVs based on evolutionary multi-objective optimization Journal Article

In: Progress in Artificial Intelligence, vol. 6, iss. 3, pp. 263-274, 2017, ISSN: 2192-6352.

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Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David

Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms Journal Article

In: Soft Computing, vol. 21, iss. 17, pp. 4883-4900, 2017, ISSN: 1432-7643; 1433-7479.

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Martín, Alejandro; Lara-Cabrera, Raúl; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David

EvoDeep: a new Evolutionary approach for automatic Deep Neural Networks parametrisation Journal Article

In: Journal of Parallel and Distributed Computing, 2017.

BibTeX

Rodríguez-Fernández, Víctor; Menéndez, Héctor D; Camacho, David

Analysing temporal performance profiles of UAV operators using time series clustering Journal Article

In: Expert Systems with Applications, vol. 70, pp. 103–118, 2017, ISSN: 0957-4174.

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Martín, Alejandro; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David

Evolving deep neural networks architectures for Android malware classification Inproceedings

In: Evolutionary Computation (CEC), 2017 IEEE Congress on, pp. 1659–1666, IEEE 2017.

BibTeX

Ramirez-Atencia, Cristian; Mostaghim, Sanaz; Camacho, David

A Knee Point Based Evolutionary Multi-objective Optimization for Mission Planning Problems Inproceedings

In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1216–1223, ACM, Berlin, Germany, 2017, ISBN: 978-1-4503-4920-8.

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2016

Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David

A Weighted Penalty Fitness for a Hybrid MOGA-CSP to solve Mission Planning Problems Inproceedings

In: XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), pp. 305–314, 2016.

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Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David

MOGAMR: A Multi-Objective Genetic Algorithm for Real-Time Mission Replanning Inproceedings

In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016, ISBN: 978-1-5090-4240-1, 978-1-5090-4241-8.

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Martín, Alejandro; Menéndez, Héctor D; Camacho, David

MOCDroid: multi-objective evolutionary classifier for Android malware detection Journal Article

In: Soft Computing, pp. 1–11, 2016.

BibTeX

2015

Rodriguez-Fernandez, Victor; Ramirez-Atencia, Cristian; Camacho, David

A multi-UAV Mission Planning videogame-based framework for player analysis Inproceedings

In: Evolutionary Computation (CEC), 2015 IEEE Congress on, pp. 1490–1497, IEEE 2015.

Abstract | Links | BibTeX

Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, María D; Camacho, David

A Hybrid MOGA-CSP for Multi-UAV Mission Planning Inproceedings

In: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference, pp. 1205–1208, ACM 2015.

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Ramírez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David

Performance Evaluation of Multi-UAV Cooperative Mission Planning Models Inproceedings

In: Computational Collective Intelligence - 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II, pp. 203–212, 2015.

Abstract | Links | BibTeX

Rodriguez-Fernández, Victor; Ramirez-Atencia, Cristian; Camacho, David

A Summary of Player Assessment in a Multi-UAV Mission Planning Serious Game Inproceedings

In: 2nd Congreso de la Sociedad Espa~nola para las Ciencias del Videojuego (CoSeCiVi 2015), 2015.

BibTeX

2014

Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David

Solving UAV Mission Planning based on Temporal Constaint Satisfaction Problem using Genetic Algorithms Inproceedings

In: Doctoral Program Proceedings of The 20th International Conference on Principles and Practice of Constraint Programming (CP 2014), 2014.

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Gonzalez-Pardo, Antonio; Camacho, David

Solving Resource-Constraint Project Scheduling Problems based on ACO algorithms Conference

Ninth International Conference on Swarm Intelligence (ANTS 2014)., vol. 8667, Lecture Notes in Computer Science of Springer-Verlag, 2014.

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Gonzalez-Pardo, Antonio; Camacho, David

A New CSP Graph-Based Representation to Resource-Constrained Project Scheduling Problem Conference

2014 IEEE Conference on Evolutionary Computation (CEC 2014), 2014.

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Gonzalez-Pardo, Antonio; Palero, Fernando; Camacho, David

Micro and Macro Lemmings simulations based on ants colonies Conference

EvoApp 2014, vol. In press, 2014.

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Gonzalez-Pardo, Antonio; Palero, Fernando; Camacho, David

An empirical study on collective intelligence algorithms for video games problem-solving Journal Article

In: Computing and Informatics, vol. In press, 2014, ISSN: 1335-9150.

BibTeX

Menéndez, Héctor D; Vindel, Rafael; Camacho, David

Combining time series and clustering to extract gamer profile evolution Incollection

In: Computational Collective Intelligence. Technologies and Applications, pp. 262–271, Springer International Publishing, 2014.

BibTeX

Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David

A simple CSP-based model for unmanned air vehicle mission planning Inproceedings

In: 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings, pp. 146–153, IEEE 2014.

BibTeX

Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David

Branching to find feasible solutions in unmanned air vehicle mission planning Inproceedings

In: International Conference on Intelligent Data Engineering and Automated Learning, pp. 286–294, Springer, Cham 2014.

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Ramirez-Atencia, Cristian

Modelling Unmanned Vehicles Mission Planning problems as Constraint Satisfaction Problems Masters Thesis

Universidad Autónoma de Madrid, 2014.

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Menendez, Hector D; Camacho, David

A Multi-Objective Graph-based Genetic Algorithm for Image Segmentation Inproceedings

In: Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on, pp. 234–241, IEEE 2014.

BibTeX

Menendez, Hector D; Barrero, David F; Camacho, David

A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm Inproceedings

In: Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 2724–2731, IEEE 2014.

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Menéndez, Héctor D; Barrero, David F; Camacho, David

A Genetic Graph-based Approach for Partitional Clustering Journal Article

In: International journal of neural systems, vol. 24, no. 03, 2014.

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Bello-Orgaz, Gema; Camacho, David

Evolutionary clustering algorithm for community detection using graph-based information Inproceedings

In: Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 930–937, IEEE 2014.

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2013

Bello-Orgaz, Gema; Barrero, David F; R-Moreno, Maria D; Camacho, David

Acquisition of Business Intelligence from Human Experience in Route Planning Journal Article

In: Enterprise Information Systems, no. Impact Factor: 9.26-Q1, 2013, ISSN: 1751-7575.

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Barrero, David F; Menéndez, Héctor D; Camacho, David

A Multi-Objective Genetic Graph-based Clustering Algorithm with Memory Optimization Conference

IEEE Congress on Evolutionary Computation (CEC 2013), 2013.

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Gonzalez-Pardo, Antonio; Camacho, David

A new CSP graph-based representation for Ant Colony Optimization Conference

2013 IEEE Conference on Evolutionary Computation (CEC 2013), vol. 1, 2013.

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Barrero, David F; R-Moreno, Maria D; Camacho, David

Improving experimental methods on success rates in Evolutionary Computation Journal Article

In: Journal of Experimental & Theoretical Artificial Intelligence, 2013, ISSN: 1362-3079.

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61 entries « 1 of 2 »