Luca Longo
Computer scientist, researcher, X-AI, ORCID 0000-0002-2718-5426
Facts
6 properties- Instance of
- human
- Occupation
- researcher, university teacher, computer scientist
🏷️ Also known as
en Luca Longo
🔖 Identifiers · 12
- ORCID iD
- 0000-0002-2718-5426
- VIAF cluster ID
- 1525157952106865600001
- GND ID
- 1202855725
- Image (Wikimedia Commons)
- Luca longo.png ↗
- DBLP author ID
- 04/3472
- Dimensions author ID
- 010237555501.85
- Google Scholar author ID
- oBqRuY8AAAAJ
- National Library of Israel J9U ID
- 987007389365805171
- Parsifal cluster ID
- 623279
- ResearchGate profile ID
- Luca-Longo-2
- Scopus author ID
- 24314788200
- Yale LUX ID
- person/b82cce4f-ad52-4908-ac64-c62e9bd32650
🔗 Connections
Author of 19
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence,
A defeasible reasoning framework for human mental workload representation and assessment,
An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems,
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload,
A Qualitative Investigation of the Degree of Explainability of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning,
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods,
Classification of Explainable Artificial Intelligence Methods through Their Output Formats,
Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios
+11 more
← Authored by 19
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence,
A defeasible reasoning framework for human mental workload representation and assessment,
An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems,
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload,
A Qualitative Investigation of the Degree of Explainability of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning,
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods,
Classification of Explainable Artificial Intelligence Methods through Their Output Formats,
Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios
+11 more
Affiliated with 3
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