Deep Autoencoder Design for RF Anomaly Detection in 5G O-RAN Near-RT RIC via xApps. - Osman Tugay Basaran; Mehmet Basaran; Derya Turan; Hamide Gül Bayrak; Yagmur Sabucu Sandal (ICC Workshops, 2023)

XAInomaly: Explainable, Interpretable and Trustworthy AI for xURLLC in 6G Open-RAN. - Osman Tugay Basaran; Falko Dressler (6GNet, 2024)

O-RAN SMO Extension for Enhanced RIC Use-Cases. - Shabnam Sultana; Florian Schreiner 001; Osman Tugay Basaran; Abhishek Dandekar; Varun Gowtham; Marius Corici; Julius Schulz-Zander; Falko Dressler; Slawomir Stanczak; Thomas Magedanz; Thomas Bauschert (NetSoft, 2025)

Explainable LSTM-Based Cyclist Intention Prediction at Intersections. - Marie-Christin H. Oczko; Osman Tugay Basaran; Falko Dressler (VNC, 2025)

XAInomaly: Explainable and interpretable Deep Contractive Autoencoder for O-RAN traffic anomaly detection. - Osman Tugay Basaran; Falko Dressler (Comput. Networks, 2025)

Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano Things. - Jorge Torres Gómez; Pit Hofmann; Lisa Y. Debus; Osman Tugay Basaran; Sebastian Lotter; Roya Khanzadeh; Stefan Angerbauer; Bige Deniz Unluturk; Sergi Abadal; Werner Haselmayr; Frank H. P. Fitzek; Robert Schober; et al. (CoRR, 2025)