An Empirical Analysis of Synthetic-Data-Based Anomaly Detection. - Majlinda Llugiqi; Rudolf Mayer (CD-MAKE, 2022)

Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. - Fajar J. Ekaputra; Majlinda Llugiqi; Marta Sabou; Andreas Ekelhart; Heiko Paulheim; Anna Breit; Artem Revenko; Laura Waltersdorfer; Kheir Eddine Farfar; Sören Auer (ESWC, 2023)

Knowledge-centric Prompt Composition for Knowledge Base Construction from Pre-trained Language Models. - Xue Li 007; Anthony James Hughes; Majlinda Llugiqi; Fina Polat; Paul Groth; Fajar J. Ekaputra (KBC-LM/LM-KBC@ISWC, 2023)

Enhancing Machine Learning Predictions Through Knowledge Graph Embeddings. - Majlinda Llugiqi; Fajar J. Ekaputra; Marta Sabou (NeSy (1), 2024)

Exploring Knowledge Graphs for Machine Learning Enhancement. - Majlinda Llugiqi (DC@ISWC, 2024)

Semantic Web and Creative AI - A Technical Report from ISWS 2023. - Raia Abu Ahmad; Reham Alharbi; Roberto Barile; Martin Böckling; Francisco Bolanos; Sara Bonfitto; Oleksandra Bruns; Irene Celino; Yashrajsinh Chudasama; Martin Critelli; Claudia d'Amato; Giada D'Ippolito; et al. (CoRR, 2025)