Tarek R. Besold

Orcid: 0000-0002-8002-0049

Affiliations:
  • Sony AI, Barcelona, Spain
  • DEKRA, Stuttgart, Germany (former)
  • City University of London, Department of Computer Science, UK (former)
  • University of Bremen, Digital Media Lab, Germany (former)


According to our database1, Tarek R. Besold authored at least 67 papers between 2010 and 2024.

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Bibliography

2024
Revisiting named entity recognition in food computing: enhancing performance and robustness.
Artif. Intell. Rev., September, 2024

Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach.
Artif. Intell. Rev., September, 2024

From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures.
CoRR, 2024

Towards More Practical Threat Models in Artificial Intelligence Security.
Proceedings of the 33rd USENIX Security Symposium, 2024

When Your AI Becomes a Target: AI Security Incidents and Best Practices.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Machine Learning Security in Industry: A Quantitative Survey.
IEEE Trans. Inf. Forensics Secur., 2023

What's Wrong with Gradient-based Complex Query Answering?
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

From the kitchen into the wild: Chances and challenges for data-driven AI in 21st century gastronomy.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Recipe 2.0: Information Presentation for AI-Supported Culinary Idea Generation.
Proceedings of the 14th International Conference on Computational Creativity, 2023

2022
Lessons from infant learning for unsupervised machine learning.
Nat. Mach. Intell., 2022

"Why do so?" - A Practical Perspective on Machine Learning Security.
CoRR, 2022

2021
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

A historical perspective of explainable Artificial Intelligence.
WIREs Data Mining Knowl. Discov., 2021

Feeling Functional: A Formal Account of Artificial Phenomenology.
J. Artif. Intell. Conscious., 2021

Using ontologies to enhance human understandability of global post-hoc explanations of black-box models.
Artif. Intell., 2021

Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract).
Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021) part of Bratislava Knowledge September (BAKS 2021), 2021

2020
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning.
CoRR, 2020

TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Editorial.
FLAP, 2019

Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172).
Dagstuhl Reports, 2019

An Ontology-based Approach to Explaining Artificial Neural Networks.
CoRR, 2019

What makes a good explanation? Cognitive dimensions of explaining intelligent machines.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Artificial Phenomenology for Human-Level Artificial Intelligence.
Proceedings of the Papers of the 2019 Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19), 2019

2018
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP.
Mach. Learn., 2018

Normative and descriptive rationality: from nature to artifice and back.
J. Exp. Theor. Artif. Intell., 2018

The What, the Why, and the How of Artificial Explanations in Automated Decision-Making.
CoRR, 2018

Learning Łukasiewicz logic.
Cogn. Syst. Res., 2018

The Relationship Between Conceptual Blending and Analogical Reasoning.
Proceedings of the Concept Invention, 2018

Enabling Technologies for Concept Invention.
Proceedings of the Concept Invention, 2018

2017
Reasoning in Non-probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples.
Minds Mach., 2017

Towards Efficiently Implementing Dodgson's Formally Intractable Voting Rule.
Künstliche Intell., 2017

Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192).
Dagstuhl Reports, 2017

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation.
CoRR, 2017

Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams.
Connect. Sci., 2017

Theory blending: extended algorithmic aspects and examples.
Ann. Math. Artif. Intell., 2017

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives.
Proceedings of the First International Workshop on Comprehensibility and Explanation in AI and ML 2017 co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016
On Cognitive Aspects of Human-Level Artificial Intelligence.
Künstliche Intell., 2016

How Does Predicate Invention Affect Human Comprehensibility?
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

An Approach to Supervised Learning of Three-Valued Łukasiewicz Logic in Hölldobler's Core Method.
Proceedings of the 4th International Workshop on Artificial Intelligence and Cognition co-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016), 2016

2015
Can Machine Intelligence be Measured in the Same Way as Human intelligence?
Künstliche Intell., 2015

Editorial: Computational Creativity, Concept Invention, and General Intelligence.
J. Artif. Gen. Intell., 2015

Efficient Dodgson-Score Calculation Using Heuristics and Parallel Computing.
CoRR, 2015

Generalize and Blend: Concept Blending Based on Generalization, Analogy, and Amalgams.
Proceedings of the Sixth International Conference on Computational Creativity, 2015

Anchoring Knowledge in Interaction: Towards a Harmonic Subsymbolic/Symbolic Framework and Architecture of Computational Cognition.
Proceedings of the Artificial General Intelligence, 2015

Neural-Symbolic Learning and Reasoning: Contributions and Challenges.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2014
On cognitive aspects of human-level artificial intelligence.
PhD thesis, 2014

Applying AI for Modeling and Understanding Analogy-Based Classroom Teaching Tools and Techniques.
Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

A Note on Chances and Limitations of Psychometric AI.
Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Algorithmic Aspects of Theory Blending.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2014

Sensorimotor Analogies in Learning Abstract Skills and Knowledge: Modeling Analogy-Supported Education in Mathematics and Physics.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Sketch Learning by Analogy.
Proceedings of the Second Interdisciplinary Workshop The Shape of Things, 2013

When Thinking Never Comes to a Halt: Using Formal Methods in Making Sure Your AI Gets the Job Done Good Enough.
Proceedings of the Fundamental Issues of Artificial Intelligence, 2013

Rationality in Context: An Analogical Perspective.
Proceedings of the Modeling and Using Context, 2013

Analogy and Arithmetics: An HDTP-Based Model of the Calculation Circular Staircase.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A Note on Tractability and Artificial Intelligence.
Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

When Almost Is Not Even Close: Remarks on the Approximability of HDTP.
Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

Human-Level Artificial Intelligence Must Be a Science.
Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

Analogy Engines in Classroom Teaching: Modeling the String Circuit Analogy.
Proceedings of the Creativity and (Early) Cognitive Development: A Perspective from Artificial Creativity, 2013

2012
E Pluribus Multa In Unum: The Rationality Multiverse.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Rationality-Guided AGI as Cognitive Systems.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Complex Analogies: Remarks on the Complexity of HDTP.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Creativity, Cognitive Mechanisms, and Logic.
Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

2011
Turing Revisited: A Cognitively-Inspired Decomposition.
Proceedings of the Philosophy and Theory of Artificial Intelligence, 2011

Towards a Domain-Independent Computational Framework for Theory Blending.
Proceedings of the Advances in Cognitive Systems, 2011

2010
Theory and Implementation of Multi-Context Systems Containing Logical and Sub-Symbolic Contexts of Reasoning.
Proceedings of the Informatiktage 2010, 2010

Integrating Logical and Sub-symbolic Contexts of Reasoning.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

A Multi-Context System Computing Modalities.
Proceedings of the 23rd International Workshop on Description Logics (DL 2010), 2010


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