Schlagworte:
- Argumentation
- Assistive Systems
- binary neural networks
- Deep Learning
- Ethical Nutrition Virtual Coaching
- eXplainable Artificial Intelligence (XAI)
- explainable negotiations
- Feature ranking
- Global explainability
- global explanations
- Heterogeneous data processing
- HPV status explanation. TNM explanation
- Local explainability
- Local explainability · Global explainability · Feature rank- ing · rule extraction
- Nutrition Coaching Legal Concerns
- Persuasion
- Preference modeling
- rule extraction
- rules extraction
- rules induction
- sustainability
- Uncertainty reasoning
- XAI
Publikationen von Victor H. Contreras
2024
| , und , Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models, in: Post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2024 |
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2023
| , , , , und , Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification, in: Explainable and Transparent AI and Multi-Agent Systems, 2023 |
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2022
| , , , , , , und , A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization (2022), in: MDPI Electronics, 11:24 |
[DOI] [URL] |
| , , , , , , und , Ethical and Legal Considerations for Nutrition Virtual Coaches Ethical and Legal Considerations for Nutrition Virtual Coaches (2022), in: AI and Ethics |
[DOI] [URL] |
| , und , Integration of local and global features explanation with global rules extraction and generation tools (2022), in: Post-proceedings of EXTRAAMAS 2022 |
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2021
| , , und , On Explainable Negotiations via Argumentation, in: Proceedings of BNAIC, 2021 |
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2020
| , , , und , Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval, in: MICCAI, Lima, Peru, 2020 |
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