Caglar Demir

Louis Mozart Kamdem Teyou

CoRR, 2024

Embedding Knowledge Graph in Function Spaces.

[BibT_eX]

[DOI]

CoRR, 2024

Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Stochastic Weight Averaging.

[BibT_eX]

[DOI]

CoRR, 2024

Universal Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.

[BibT_eX]

[DOI]

Daniel F. Leite

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.

[BibT_eX]

[DOI]

Daniel F. Leite

Louis Mozart Kamdem Teyou

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Embedding Knowledge Graphs in Degenerate Clifford Algebras.

[BibT_eX]

[DOI]

Louis Mozart Kamdem Teyou

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Embedding Knowledge Graphs in Function Spaces.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Class Expression Learning with Multiple Representations.

[BibT_eX]

[DOI]

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Learning continuous representations for Knowledge Graphs.

[BibT_eX]

[DOI]

PhD thesis, 2023

Neural Class Expression Synthesis in <i>ALCHIQ(D)</i>.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

LitCQD: Multi-hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals.

[BibT_eX]

[DOI]

Michel Wiebesiek

Renzhong Lu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Neuro-Symbolic Class Expression Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Permutation-Invariant Embeddings for Description Logic Concepts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Neural Class Expression Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 20th International Conference, 2023

Conformal Credal Self-Supervised Learning.

[BibT_eX]

[DOI]

Julian Lienen

Eyke Hüllermeier

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Hardware-agnostic computation for large-scale knowledge graph embeddings.

[BibT_eX]

[DOI]

Softw. Impacts, 2022

EvoLearner: Learning Description Logics with Evolutionary Algorithms.

[BibT_eX]

[DOI]

Varun Nandkumar Golani

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Rapid Explainability for Skill Description Learning.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2022 Posters, 2022

Kronecker Decomposition for Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Julian Lienen

Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

Learning Concept Lengths Accelerates Concept Learning in ALC.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 19th International Conference, 2022

2021

Prediction of concept lengths for fast concept learning in description logics.

[BibT_eX]

[DOI]

CoRR, 2021

DRILL- Deep Reinforcement Learning for Refinement Operators in ALC.

[BibT_eX]

[DOI]

CoRR, 2021

Out-of-Vocabulary Entities in Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

MLCheck- Property-Driven Testing of Machine Learning Models.

[BibT_eX]

[DOI]

Heike Wehrheim

CoRR, 2021

A shallow neural model for relation prediction.

[BibT_eX]

[DOI]

Diego Moussallem

Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

MLCHECK- Property-Driven Testing of Machine Learning Classifiers.

[BibT_eX]

[DOI]

Heike Wehrheim

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Convolutional Complex Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 18th International Conference, 2021

Convolutional Hypercomplex Embeddings for Link Prediction.

[BibT_eX]

[DOI]

Diego Moussallem

Proceedings of the Asian Conference on Machine Learning, 2021

2019

A Physical Embedding Model for Knowledge Graphs.

[BibT_eX]

[DOI]