RESEARCHER PROFILE

David Camacho

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Universidad Politécnica de Madrid

Metaheuristic Optimization Algorithms ResearchMisinformation and Its ImpactsMulti-Agent Systems and NegotiationAdvanced Clustering Algorithms ResearchAI-based Problem Solving and Planning

David Camacho works in Metaheuristic Optimization Algorithms Research, Misinformation and Its Impacts, Multi-Agent Systems and Negotiation, Advanced Clustering Algorithms Research, AI-based Problem Solving and Planning. Recorded institutional associations include United Arab Emirates University, Universidad Politécnica de Madrid.

545Publications
8,321Citations
42H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Social big data: Recent achievements and new challenges

    2015 · 842 citations

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

    2019 · 593 citations

  3. The four dimensions of social network analysis: An overview of research methods, applications, and software tools

    2020 · 329 citations

  4. Game-like language learning in 3-D virtual environments

    2012 · 208 citations

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

    2018 · 170 citations

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

    2016 · 146 citations

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

    2018 · 116 citations

  8. Deep learning for EEG data analytics: A survey

    2019 · 115 citations

  9. A review of deep learning‐based approaches for deepfake content detection

    2024 · 112 citations

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

    2018 · 108 citations

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

    2017 · 96 citations

  12. Detecting discussion communities on vaccination in twitter

    2016 · 95 citations

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

    2017 · 91 citations

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

    2018 · 91 citations

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

    2018 · 89 citations

  16. Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion

    2021 · 85 citations

  17. MOCDroid: multi-objective evolutionary classifier for Android malware detection

    2016 · 81 citations

  18. A GENETIC GRAPH-BASED APPROACH FOR PARTITIONAL CLUSTERING

    2014 · 80 citations

  19. A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids

    2020 · 78 citations

  20. Evolving Generative Adversarial Networks to improve image steganography

    2023 · 77 citations

  21. A new intrusion detection system based on Moth–Flame Optimizer algorithm

    2022 · 74 citations

  22. Measuring the Radicalisation Risk in Social Networks

    2017 · 68 citations

  23. Cellulat: an agent-based intracellular signalling model

    2003 · 66 citations

  24. Identifying and ranking cultural heritage resources on geotagged social media for smart cultural tourism services

    2016 · 66 citations

  25. Extending QGroundControl for Automated Mission Planning of UAVs

    2018 · 65 citations

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