Universidad de Burgos-ko ikertzaileekin lankidetzan egindako argitalpenak (104)

2024

  1. Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

    Information Fusion, Vol. 102

  2. Disturbing neighbors en un contexto semisupervisado

    XX Conferencia de la Asociación Española para la Inteligencia Artificial

  3. Ensemble methods and semi-supervised learning for information fusion: A review and future research directions

    Information Fusion, Vol. 107

  4. Evaluation of Semi-Supervised Machine Learning applied to Affective State Detection

    2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024

  5. SSProteinFitnessPrediction

    Zenodo

  6. SSProteinFitnessPrediction

    Zenodo

  7. Semi-supervised classification with pairwise constraints: A case study on animal identification from video

    Information Fusion, Vol. 104

  8. Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults

    Applied Intelligence, Vol. 54, Núm. 6, pp. 4525-4544

2023

  1. A cost-effective stereo camera-based system for measuring crack propagation in fibre-reinforced concrete

    Archives of Civil and Mechanical Engineering, Vol. 23, Núm. 3

  2. An experiment on animal re-identification from video

    Ecological Informatics, Vol. 74

  3. Application of Semi-Supervised Machine Learning Techniques to Subject Recognition based on Affective State

    Modelling and Simulation 2023 - European Simulation and Modelling Conference 2023, ESM 2023

2022

  1. A Benchmark Database for Animal Re-Identification and Tracking

    5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022

  2. Animal Re-Identification from Video

    Zenodo

  3. Animal Re-Identification from Video

    Zenodo

  4. Combination of Object Tracking and Object Detection for Animal Recognition

    5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022

  5. Correction to: Rotation Forest for multi-target regression (International Journal of Machine Learning and Cybernetics, (2022), 13, 2, (523-548), 10.1007/s13042-021-01329-1)

    International Journal of Machine Learning and Cybernetics

  6. Rotation Forest for multi-target regression

    International Journal of Machine Learning and Cybernetics, Vol. 13, Núm. 2, pp. 523-548

  7. When is resampling beneficial for feature selection with imbalanced wide data?

    Expert Systems with Applications, Vol. 188

2021

  1. Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark

    Neurocomputing, Vol. 464, pp. 432-437

  2. Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System

    Applied Sciences, Vol. 11, pp. 1-24