| Use of Machine Learning to Analyze and--Hopefully--Predict Volcano Activity J Parra, O Fuentes, EY Anthony, V Kreinovich | 20 | 2016 |
| Why Rectified Linear Neurons Are Efficient: A Possible Theoretical Explanation O Fuentes, J Parra, E Anthony, V Kreinovich Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy …, 2020 | 18 | 2020 |
| How to Best Apply Deep Neural Networks in Geosciences: Towards Optimal “Averaging” in Dropout Training A Gholamy, J Parra, V Kreinovich, O Fuentes, E Anthony Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st …, 2023 | 12 | 2023 |
| Predicting volcanic eruptions: Case study of rare events in chaotic systems with delay J Parra, O Fuentes, E Anthony, V Kreinovich 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 8 | 2017 |
| Eruption forecasting from seismic activity using neural networks J Parra, O Fuentes, V Kreinovich, E Anthony, V Espejel, O Hinojosa Proceedings of International Association of Vulcanology and Chemistry of the …, 2017 | 3 | 2017 |
| Why rectified linear neurons are efficient: Symmetry-based, complexity-based, and fuzzy-based explanations O Fuentes, J Parra, EY Anthony, V Kreinovich | 1 | 2017 |
| How to Best Apply Neural Networks in Geosciences: Towards Optimal" Averaging" in Dropout Training A Gholamy, J Parra, V Kreinovich, O Fuentes, EY Anthony | 1 | 2017 |
| Prediction of Volcanic Eruptions as a Case Study of Predicting Rare Events in Chaotic Systems with Delay J Parra, O Fuentes, EY Anthony, V Kreinovich | | 2017 |
| Use of Machine Leaning to Analyze and–Hopefully–Predict Volcano Activities J Parra, O Fuentes, E Anthony, V Kreinovich | | |