Biltzar ekarpenak (283)

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filter_list Mota (agr.) Biltzar ekarpenak

2026

  1. Strategic Approaches to Safeguarding Cultural Heritage: Art-Risk Decision-Making Toolset

    Lecture Notes in Mechanical Engineering

2025

  1. Bioinspired evolutionary metaheuristic based on COVID spread for discovering numerical association rules

    Proceedings of the ACM Symposium on Applied Computing

  2. Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses

    Communications in Computer and Information Science

  3. Fraudulent Transactions Identification Using a Machine Learning Approach

    Lecture Notes in Networks and Systems

2024

  1. An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines

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

  2. An evolutionary triclustering approach to discover electricity consumption patterns in France

    Proceedings of the ACM Symposium on Applied Computing

  3. Analysis of School Dropout Rate in Paraguay Using a Machine Learning Approach

    Lecture Notes in Networks and Systems

  4. Climate Change monitoring with Art-Risk 5: New approach for environmental hazard assessment in Seville and Almería Historic Centres (Spain)

    Procedia Structural Integrity

  5. Effects of Language of Instruction in Higher Education

    Lecture Notes in Networks and Systems

  6. Equivariant Parameter Sharing for Porous Crystalline Materials

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

  7. Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting

    Proceedings of International Conference on Smart Systems and Technologies, SST 2024

  8. Ground-Level Ozone Forecasting Using Explainable Machine Learning

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

  9. Space-Time Clustering of Seismicity in Algeria

    Lecture Notes in Networks and Systems

  10. Statistical analysis of principal components (PCA) in the study of the vulnerability of Heritage Churches

    Procedia Structural Integrity

  11. Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection

    Lecture Notes in Networks and Systems

2023

  1. A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia

    Lecture Notes in Networks and Systems

  2. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

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

  3. A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal

    Proceedings of the ACM Symposium on Applied Computing

  4. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

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

  5. Electric Energy Charge Biclustering A Genetic Algorithms Approach

    Proceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon