Tarek R. Besold

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 33

Top Topics

Machine Learning

Predicate Invention

Historical Perspective

Top Venues

Künstliche Intell.

Artif. Intell. Rev.

Publications

Uchenna Akujuobi, Shuhong Liu, Tarek R. Besold
Revisiting named entity recognition in food computing: enhancing performance and robustness. Artif. Intell. Rev. 57 (9) (2024)
Christoph Wehner, Chrysa Iliopoulou, Tarek R. Besold
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures. CoRR (2024)
Uchenna Akujuobi, Priyadarshini Kumari, Jihun Choi, Samy Badreddine, Kana Maruyama, Sucheendra K. Palaniappan, Tarek R. Besold
Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach. Artif. Intell. Rev. 57 (9) (2024)
Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Alexandre Alahi
When Your AI Becomes a Target: AI Security Incidents and Best Practices. AAAI (2024)
Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Alexandre Alahi
Towards More Practical Threat Models in Artificial Intelligence Security. USENIX Security Symposium (2024)
Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Katharina Krombholz
Machine Learning Security in Industry: A Quantitative Survey. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Katharina Krombholz
Machine Learning Security in Industry: A Quantitative Survey. IEEE Trans. Instrum. Meas. 72 (2023)
Tarek R. Besold
From the kitchen into the wild: Chances and challenges for data-driven AI in 21st century gastronomy. ICDEW (2023)
Ouns El Harzli, Samy Badreddine, Tarek R. Besold
What's Wrong with Gradient-based Complex Query Answering? NeSy (2023)
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack
Lessons from infant learning for unsupervised machine learning. Nat. Mach. Intell. 4 (6) (2022)
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models. Artif. Intell. 296 (2021)
Roberto Confalonieri, Ludovik Coba, Benedikt Wagner, Tarek R. Besold
A historical perspective of explainable Artificial Intelligence. WIREs Data Mining Knowl. Discov. 11 (1) (2021)
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín
Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract). DAO-XAI (2021)
Tarek R. Besold, Lorijn Zaadnoordijk, David Vernon
Feeling Functional: A Formal Account of Artificial Phenomenology. J. Artif. Intell. Conscious. 8 (1) (2021)
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning. CoRR (2020)
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín
TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models. ECAI (2020)
Roberto Confalonieri, Tarek R. Besold, Tillman Weyde, Kathleen Creel, Tania Lombrozo, Shane T. Mueller, Patrick Shafto
What makes a good explanation? Cognitive dimensions of explaining intelligent machines. CogSci (2019)
Artur S. d'Avila Garcez, Tarek R. Besold
Editorial. FLAP 6 (4) (2019)
Lorijn Zaadnoordijk, Tarek R. Besold
Artificial Phenomenology for Human-Level Artificial Intelligence. AAAI Spring Symposium: Towards Conscious AI Systems (2019)
Roberto Confalonieri, Fermín Moscoso del Prado, Sebastia Agramunt, Daniel Malagarriga, Daniele Faggion, Tillman Weyde, Tarek R. Besold
An Ontology-based Approach to Explaining Artificial Neural Networks. CoRR (2019)
Stephen H. Muggleton, Ute Schmid, Christina Zeller, Alireza Tamaddoni-Nezhad, Tarek R. Besold
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. Mach. Learn. 107 (7) (2018)
Tarek R. Besold, Sara L. Uckelman
The What, the Why, and the How of Artificial Explanations in Automated Decision-Making. CoRR (2018)
Frederik Harder, Tarek R. Besold
Learning Łukasiewicz logic. Cogn. Syst. Res. 47 (2018)
Tarek R. Besold, Artur S. d'Avila Garcez, Luís C. Lamb
Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192). Dagstuhl Reports 7 (5) (2017)
Tarek R. Besold, Kai-Uwe Kühnberger, Enric Plaza
Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams. Connect. Sci. 29 (4) (2017)
Tarek R. Besold, Artur S. d'Avila Garcez, Keith Stenning, Leendert W. N. van der Torre, Michiel van Lambalgen
Reasoning in Non-probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples. Minds Mach. 27 (1) (2017)
Derek Doran, Sarah Schulz, Tarek R. Besold
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives. CEx@AI*IA (2017)
Derek Doran, Sarah Schulz, Tarek R. Besold
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives. CoRR (2017)
Arne Recknagel, Tarek R. Besold
Towards Efficiently Implementing Dodgson's Formally Intractable Voting Rule. Künstliche Intell. 31 (2) (2017)
Tarek R. Besold, Artur S. d'Avila Garcez, Keith Stenning, Leendert W. N. van der Torre, Michiel van Lambalgen
Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples. CoRR (2017)
Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR (2017)
Ute Schmid, Christina Zeller, Tarek R. Besold, Alireza Tamaddoni-Nezhad, Stephen Muggleton
How Does Predicate Invention Affect Human Comprehensibility? ILP (2016)
Tarek R. Besold
On Cognitive Aspects of Human-Level Artificial Intelligence. Künstliche Intell. 30 (3-4) (2016)
Tarek R. Besold, José Hernández-Orallo, Ute Schmid
Can Machine Intelligence be Measured in the Same Way as Human intelligence? Künstliche Intell. 29 (3) (2015)
Artur S. d'Avila Garcez, Tarek R. Besold, Luc De Raedt, Peter Földiák, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luís C. Lamb, Risto Miikkulainen, Daniel L. Silver
Neural-Symbolic Learning and Reasoning: Contributions and Challenges. AAAI Spring Symposia (2015)
Ulf Krumnack, Angela Schwering, Kai-Uwe Kühnberger, Helmar Gust, Ahmed M. H. Abdel-Fattah, Tarek R. Besold, Martin Schmidt, Stefan Schneider
Sketch Learning by Analogy. SHAPES (2013)
Tarek R. Besold, Robert Robere
When Thinking Never Comes to a Halt: Using Formal Methods in Making Sure Your AI Gets the Job Done Good Enough. PT-AI (2013)
Ahmed M. H. Abdel-Fattah, Tarek R. Besold, Kai-Uwe Kühnberger
Creativity, Cognitive Mechanisms, and Logic. AGI (2012)
Maricarmen Martínez, Tarek R. Besold, Ahmed Mohammed Hassan Abdel-Fattah, Kai-Uwe Kühnberger, Helmar Gust, Martin Schmidt, Ulf Krumnack
Towards a Domain-Independent Computational Framework for Theory Blending. AAAI Fall Symposium: Advances in Cognitive Systems (2011)
Tarek R. Besold
Theory and Implementation of Multi-Context Systems Containing Logical and Sub-Symbolic Contexts of Reasoning. Informatiktage (2010)
Tarek R. Besold, Stefan Mandl
Integrating Logical and Sub-symbolic Contexts of Reasoning. ICAART (1) (2010)