Publications
Overview of our Journal and Conference Papers:
Listed by year
2025
Introducing Differential Privacy to Recommender Systems Through a Self-Organizing Feature Map Using a Local Distance-Based Methodology. / Amiri, Fatemeh; Quirchmayr, Gerald; Weippl, Edgar.
In: IEEE Access, Vol. 13, 03.09.2025, p. 161824-161843.
Publications: Contribution to journal › Article › Peer Reviewed
Explainable Brain Activity Classification from Audio Recordings and Convolutional Neural Networks. / Tavolato, Paul; Schölnast, Hubert; Eigner, Oliver et al.
Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA2025). 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Multi-Class Machine Learning to Quantify the Impact of Nitrogen Management Practices on Grassland Biomass. / Raubitzek, Sebastian (Corresponding author); Hartlieb, Margarita; König, Philip et al.
In: Nitrogen, Vol. 6, No. 3, 52, 09.2025.
Publications: Contribution to journal › Article › Peer Reviewed
Data Obfuscation for Privacy-Preserving Machine Learning Using Quantum Symmetry Properties. / Raubitzek, Sebastian (Corresponding author); Schrittwieser, Sebastian; Schatten, Alexander (Corresponding author) et al.
In: big data and cognitive computing, Vol. 9, No. 9, 223, 29.08.2025.
Publications: Contribution to journal › Article › Peer Reviewed
Collaborative Anomaly Detection in Log Data: Comparative Analysis and Evaluation Framework. / Gómez, André García; Landauer, Max; Wurzenberger, Markus et al.
In: Future Generation Computer Systems, Vol. 175, 108090, 17.08.2025.
Publications: Contribution to journal › Article › Peer Reviewed
Prekey Pogo: Investigating Security and Privacy Issues in WhatsApp’s Handshake Mechanism. / Gegenhuber, Gabriel Karl; Frenzel, Philipp É.; Günther, Maximilian et al.
19th USENIX WOOT Conference on Offensive Technologies (WOOT '25). 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
A Method for Explainable Anomaly Detection in Substation Networks Through Deep Learning. / Tavolato, Paul; Eigner, Oliver; Kreimel-Haindl, Philipp et al.
Availability, Reliability and Security. Cham: Springer, 2025. p. 289-303.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
An Explainable Method for Malware Detection through Convolutional Neural Networks. / Mercaldo, Francesco; Tavolato, Paul; Santone, Antonella et al.
ARES 2025. Springer, 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Using machine learning techniques to assess the technology adoption readiness levels of livestock producers. / Mallinger, Kevin (Corresponding author); Corpaci, Luiza; Goldenits, Georg et al.
In: Agronomy Research, Vol. 23, No. 2, 05.08.2025, p. 1147-1168.
Publications: Contribution to journal › Article › Peer Reviewed
Exploring the Possibility to Predict Epileptic Seizures through Explainable Machine Learning. / Tavolato, Paul; Schölnast, Hubert; Santone, Antonella et al.
13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed