Basque Center for Applied Mathematics -ko ikertzaileekin lankidetzan egindako argitalpenak (89)

2022

  1. An active adaptation strategy for streaming time series classification based on elastic similarity measures

    Neural Computing and Applications, Vol. 34, Núm. 16, pp. 13237-13252

2021

  1. AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

    Information Sciences, Vol. 570, pp. 577-598

  2. Error control and loss functions for the deep learning inversion of borehole resistivity measurements

    International Journal for Numerical Methods in Engineering, Vol. 122, Núm. 6, pp. 1629-1657

  3. LUNAR: Cellular automata for drifting data streams

    Information Sciences, Vol. 543, pp. 467-487

  4. Rank Aggregation for Non-stationary Data Streams

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. A deep learning approach to the inversion of borehole resistivity measurements

    Computational Geosciences, Vol. 24, Núm. 3, pp. 971-994

  2. Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead

    IEEE Transactions on Intelligent Transportation Systems, Vol. 21, Núm. 2, pp. 466-495

  3. Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics

    Applied Soft Computing Journal, Vol. 87

  4. Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

    Information Fusion, Vol. 58, pp. 82-115

  5. Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning

    Neural Networks, Vol. 123, pp. 118-133

  6. Intelligent Embedded Vision for Summarization of Multiview Videos in IIoT

    IEEE Transactions on Industrial Informatics, Vol. 16, Núm. 4, pp. 2592-2602

  7. Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences

    Neural Networks, Vol. 128, pp. 61-72

  8. Spiking Neural Networks and online learning: An overview and perspectives

    Neural Networks, Vol. 121, pp. 88-100

  9. Stream learning in energy IoT systems: A case study in combined cycle power plants

    Energies, Vol. 13, Núm. 3

2019

  1. A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection

    Swarm and Evolutionary Computation, Vol. 44, pp. 273-286

  2. Adaptive long-term traffic state estimation with evolving spiking neural networks

    Transportation Research Part C: Emerging Technologies, Vol. 101, pp. 126-144

  3. Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0

    Engineering Applications of Artificial Intelligence, Vol. 82, pp. 30-43

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

    Swarm and Evolutionary Computation, Vol. 48, pp. 220-250

  5. Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives

    Applied Soft Computing Journal, Vol. 79, pp. 30-45

  6. Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

    Information Fusion, Vol. 50, pp. 92-111