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Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
3citations -
Restructuring Knowledge Graphs with Conceptual Models: Implications for Machine Learning Predictions in Drug Repurposing2025 Lecture notes in computer science conference-paper Computer Science Semantic Web and Ontologies Open access
César H. Bernabé, Pablo Perdomo-Quinteiro, Annika Jacobsen, Tiago Prince Sales, Núria Queralt-Rosiñach, Katherine Wolstencroft, +3 more
0citations -
Knowledge Graphs and Explainable Artificial Intelligence (AI) for Drug Repurposing on Rare Diseases2026 Neurosymbolic Artificial Intelligence article Computer Science Computational Drug Discovery Methods Open access
Pablo Perdomo-Quinteiro, Katherine Wolstencroft, Marco Roos, Núria Queralt-Rosiñach
0citations -
Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss2023 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis
Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran
2citations -
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions2024 BMC Bioinformatics software-paper Computer Science Machine Learning and Data Classification Open access
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
5citations -
Enhancing sustainability assessment of highway Infrastructure through ontology-based knowledge representation and large language models2026 Zenodo (CERN European Organization for Nuclear Research) conference-paper Computer Science Semantic Web and Ontologies Open access
Michelle Kaus, Joy Sengupta, Sven Mackenbach, Katharina Klemt-Albert
0citations