GHEODE

2024

1. A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

   Knowledge-Based Systems, Vol. 291

2. A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system

   Computers and Operations Research, Vol. 163

3. An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

   Computer Methods and Programs in Biomedicine, Vol. 245

4. An iterative neural network approach applied to human-induced force reconstruction using a non-linear electrodynamic shaker

   Heliyon, Vol. 10, Núm. 12

5. Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review

   Theoretical and Applied Climatology, Vol. 155, Núm. 1, pp. 1-44

6. Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

   IEEE Access, Vol. 12, pp. 72530-72543

7. Autoencoder Framework for General Forecasting

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

8. Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields

   Annals of the New York Academy of Sciences

9. Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches[Formula presented]

   Expert Systems with Applications, Vol. 238

10. CoSeNet: A novel approach for optimal segmentation of correlation matrices

    Digital Signal Processing: A Review Journal, Vol. 144

11. Collaboration and competition spatial complex networks in regional science

    Journal of Ambient Intelligence and Humanized Computing, Vol. 15, Núm. 3, pp. 1995-2008

12. Connecting continuous models of quantum systems to complex networks: Application to electron transport in real-world one dimensional van der Waals materials

    Chaos, Solitons and Fractals, Vol. 185

13. Data Augmentation Techniques for Extreme Wind Prediction Improvement

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

14. Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback

    Sensors, Vol. 24, Núm. 10

15. Efficient evolution of decision trees via fully matrix-based fitness evaluation

    Applied Soft Computing, Vol. 150

16. Electricity demand error corrections with attention bi-directional neural networks

    Energy, Vol. 291

17. End-to-end learning of adaptive coded modulation schemes for resilient wireless communications

    Applied Soft Computing, Vol. 159

18. Energy Flux Prediction Using an Ordinal Soft Labelling Strategy

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

19. Evolving interpretable decision trees for reinforcement learning

    Artificial Intelligence, Vol. 327

20. Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events

    Applied Ocean Research, Vol. 153