Explainable e-sports win prediction through Machine Learning classification in streaming
Fuente:
arXiv
Saved in:
| Main Authors: | García-Méndez, Silvia, de Arriba-Pérez, Francisco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework
by: García-Méndez, Silvia, et al.
Published: (2025)
by: García-Méndez, Silvia, et al.
Published: (2025)
Explainable machine learning multi-label classification of Spanish legal judgements
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Detecting anxiety and depression in dialogues: a multi-label and explainable approach
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal
by: García-Méndez, Silvia, et al.
Published: (2025)
by: García-Méndez, Silvia, et al.
Published: (2025)
Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025)
by: García-Méndez, Silvia, et al.
Published: (2025)
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing
by: González-González, Jaime, et al.
Published: (2024)
by: González-González, Jaime, et al.
Published: (2024)
Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
by: González-González, Jaime, et al.
Published: (2024)
by: González-González, Jaime, et al.
Published: (2024)
Interpretable classification of wiki-review streams
by: Méndez, Silvia García, et al.
Published: (2024)
by: Méndez, Silvia García, et al.
Published: (2024)
Informatics & dairy industry coalition: AI trends and present challenges
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
A review on the use of large language models as virtual tutors
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Assessing win strength in MLB win prediction models
by: Allen, Morgan, et al.
Published: (2025)
by: Allen, Morgan, et al.
Published: (2025)
Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Exposing and Explaining Fake News On-the-Fly
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Online detection and infographic explanation of spam reviews with data drift adaptation
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Unraveling Emotions with Pre-Trained Models
by: Pajón-Sanmartín, Alejandro, et al.
Published: (2025)
by: Pajón-Sanmartín, Alejandro, et al.
Published: (2025)
Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Toward data-driven research: preliminary study to predict surface roughness in material extrusion using previously published data with Machine Learning
by: García-Martínez, Fátima, et al.
Published: (2024)
by: García-Martínez, Fátima, et al.
Published: (2024)
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics
by: Munoz, Cristian, et al.
Published: (2023)
by: Munoz, Cristian, et al.
Published: (2023)
Towards Explainable Sequential Learning
by: Bergami, Giacomo, et al.
Published: (2025)
by: Bergami, Giacomo, et al.
Published: (2025)
Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023)
by: de Sá, Alex G. C., et al.
Published: (2023)
Explaining Machine Learning Predictive Models through Conditional Expectation Methods
by: Ruiz-España, Silvia, et al.
Published: (2026)
by: Ruiz-España, Silvia, et al.
Published: (2026)
A Causal Argumentation Method for Explainability of Machine Learning Models
by: Salgado, Henry, et al.
Published: (2026)
by: Salgado, Henry, et al.
Published: (2026)
Investigating the Duality of Interpretability and Explainability in Machine Learning
by: Garouani, Moncef, et al.
Published: (2025)
by: Garouani, Moncef, et al.
Published: (2025)
On the Relationship Between Interpretability and Explainability in Machine Learning
by: Leblanc, Benjamin, et al.
Published: (2023)
by: Leblanc, Benjamin, et al.
Published: (2023)
Identification and explanation of disinformation in wiki data streams
by: de Arriba-Pérez, Francisco, et al.
Published: (2025)
by: de Arriba-Pérez, Francisco, et al.
Published: (2025)
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
by: Devabhakthini, Prathyusha, et al.
Published: (2023)
by: Devabhakthini, Prathyusha, et al.
Published: (2023)
Explainability of Machine Learning Models under Missing Data
by: Vo, Tuan L., et al.
Published: (2024)
by: Vo, Tuan L., et al.
Published: (2024)
Explainable classification of astronomical uncertain time series
by: Mbouopda, Michael Franklin, et al.
Published: (2022)
by: Mbouopda, Michael Franklin, et al.
Published: (2022)
Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
by: Krishna, Satyapriya, et al.
Published: (2022)
by: Krishna, Satyapriya, et al.
Published: (2022)
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
by: Newaz, Asif, et al.
Published: (2023)
by: Newaz, Asif, et al.
Published: (2023)
Tensor Networks for Explainable Machine Learning in Cybersecurity
by: Aizpurua, Borja, et al.
Published: (2023)
by: Aizpurua, Borja, et al.
Published: (2023)
Explainable Moral Values: a neuro-symbolic approach to value classification
by: Lazzari, Nicolas, et al.
Published: (2024)
by: Lazzari, Nicolas, et al.
Published: (2024)
A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
by: Paterakis, George, et al.
Published: (2025)
by: Paterakis, George, et al.
Published: (2025)
Matching Problems to Solutions: An Explainable Way of Solving Machine Learning Problems
by: Saleh, Lokman, et al.
Published: (2024)
by: Saleh, Lokman, et al.
Published: (2024)
Similar Items
-
Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
by: de Arriba-Pérez, Francisco, et al.
Published: (2024) -
Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework
by: García-Méndez, Silvia, et al.
Published: (2025) -
Explainable machine learning multi-label classification of Spanish legal judgements
by: de Arriba-Pérez, Francisco, et al.
Published: (2024) -
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
by: de Arriba-Pérez, Francisco, et al.
Published: (2024) -
Detecting anxiety and depression in dialogues: a multi-label and explainable approach
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)