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D-Index & Metrics

Computer Science

D-Index
39
Citations
7337
World Ranking
9677
National Ranking
153

Overview

David Camacho is affiliated with the Technical University of Madrid in Spain and has an extensive publication record in the field of computer science, focusing primarily on artificial intelligence and its applications. Their work spans various subfields including artificial intelligence, computer vision and pattern recognition, sociology and political science, signal processing, and computer networks and communications.

Their research addresses several key topics such as misinformation and its impacts, topic modeling, hate speech and cyberbullying detection, advanced malware detection techniques, natural language processing techniques, anomaly detection techniques and applications, and network security and intrusion detection.

David Camacho has contributed papers to leading publication venues, notably:

  • arXiv (Cornell University)
  • Expert Systems
  • Information Fusion
  • Cognitive Computation
  • SSRN Electronic Journal

Recent papers authored or co-authored by David Camacho include:

  • Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion, 2021, Information Fusion
  • A new intrusion detection system based on Moth-Flame Optimizer algorithm, 2022, Expert Systems with Applications
  • Evolving Generative Adversarial Networks to improve image steganography, 2023, Expert Systems with Applications
  • A review of deep learning-based approaches for deepfake content detection, 2024, Expert Systems
  • Extending collaborative filtering recommendation using word embedding: A hybrid approach, 2021, Concurrency and Computation Practice and Experience

Frequent co-authors collaborating with David Camacho include:

  • Javier Huertas-Tato
  • Alejandro Martín
  • Víctor Rodríguez-Fernández
  • Ángel Panizo-LLedot
  • Álvaro Huertas-García

The scientist has also contributed to book publications, including works published by Springer Nature and Springer Science+Business Media. Among these are "Intelligent Distributed Computing XIV" (2022) and "Intelligent Data Engineering and Automated Learning - IDEAL 2021" (2021).

David Camacho's publication volume spans over 224 papers in computer science, with a significant number focusing on the intersection of artificial intelligence and other disciplines. This interdisciplinary approach is reflected in the diverse range of topics and venues to which they contribute.

Best Publications

  • Social big data

    Gema Bello-Orgaz;Jason J. Jung;David Camacho

  • Bio-inspired computation: Where we stand and what's next

    Javier Del Ser;Javier Del Ser;Eneko Osaba;Daniel Molina;Xin-She Yang

  • Game-like language learning in 3-D virtual environments

    Anke Berns;Antonio Gonzalez-Pardo;David Camacho

  • The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

    David Camacho;Ángel Panizo-LLedot;Gema Bello-Orgaz;Antonio Gonzalez-Pardo

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

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

  • Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset

    Alejandro Martín;Raúl Lara-Cabrera;David Camacho

  • Detecting discussion communities on vaccination in twitter

    Gema Bello-Orgaz;Julio Hernandez-Castro;David Camacho

  • Multiple classifiers in biometrics. part 1: Fundamentals and review

    Julian Fierrez;Aythami Morales;Ruben Vera-Rodriguez;David Camacho

  • A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem

    Eneko Osaba;Javier Del Ser;Javier Del Ser;Ali Sadollah;Ali Sadollah;Miren Nekane Bilbao

  • Multiple classifiers in biometrics. Part 2: Trends and challenges

    Julian Fierrez;Aythami Morales;Ruben Vera-Rodriguez;David Camacho

  • EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation

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

  • Deep learning for EEG data analytics: A survey

    Gen Li;Chang Ha Lee;Jason J. Jung;Young Chul Youn

  • MOCDroid: multi-objective evolutionary classifier for Android malware detection

    Alejandro Martín;Héctor D. Menéndez;David Camacho

  • A genetic graph-based approach for partitional clustering.

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

  • Intelligent Travel Planning: A MultiAgent Planning System to Solve Web Problems in the e-Tourism Domain

    David Camacho;Daniel Borrajo;Jose M. Molina

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

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

  • Measuring the Radicalisation Risk in Social Networks

    Raul Lara-Cabrera;Antonio Gonzalez Pardo;Karim Benouaret;Noura Faci

  • Intelligent Data Engineering and Automated Learning - Ideal 2009

    Emilio Corchado;Hujun Yin

  • CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains

    Alejandro Martín;Víctor Rodríguez-Fernández;David Camacho

  • A Programming Experience of High School Students in a Virtual World Platform

    Mariano Rico;Gonzalo Martinez-Munoz;Xavier Alaman;David Camacho

  • Adaptive k-means algorithm for overlapped graph clustering.

    Gema Bello-Orgaz;Héctor D. Menéndez;David Camacho

Frequent Co-Authors

Javier Del Ser
Javier Del Ser University of the Basque Country
Jason J. Jung
Jason J. Jung Chung-Ang University
Oscar Corcho
Oscar Corcho Technical University of Madrid
Manuel Cebrian
Manuel Cebrian Carlos III University of Madrid
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Julian Fierrez
Julian Fierrez Autonomous University of Madrid
Erik Cambria
Erik Cambria Nanyang Technological University
Koen V. Hindriks
Koen V. Hindriks Vrije Universiteit Amsterdam
Ron Dagan
Ron Dagan Ben-Gurion University of the Negev
Charith Perera
Charith Perera Cardiff University

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