Jinpeng Wang, Shang Zhang, Peter Fenn, Xiaowei Luo, Yan Liu, Lilin Zhao (2023), Adopting BIM to Facilitate Dispute Management in the Construction Industry: A Conceptual Framework Development, In Journal of Construction Engineering and Management.

Daniël Vos, Sicco Verwer (2023), Adversarially Robust Decision Tree Relabeling, Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas (Eds.), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings p.203-218, Springer.

Mathew Vermeer, Natalia Kadenko, Michel van Eeten, Carlos Gañán, Simon Parkin (2023), Alert Alchemy: SOC Workflows and Decisions in the Management of NIDS Rules, In CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security p.2770–2784, ACM.

Patrick B.M. Fahim, Gerjan Mientjes, Jafar Rezaei, Arjan van Binsbergen, Benoit Montreuil, Lorant Tavasszy (2023), Alignment of port policy to the context of the Physical Internet, In Maritime Policy and Management Volume 51 p.805-827.

Yin Minn Pa Pa, Shunsuke Tanizaki, Tetsui Kou, Michel Van Eeten, Katsunari Yoshioka, Tsutomu Matsumoto (2023), An Attacker's Dream? Exploring the Capabilities of ChatGPT for Developing Malware, In Proceedings of CSET 2023 - 16th Cyber Security Experimentation and Test Workshop p.10-18, ACM.

Anand Kumar, Karan Singh, Mohd Shariq, Chhagan Lal, Mauro Conti, Ruhul Amin, Shehzad Ashraf Chaudhry (2023), An efficient and reliable ultralightweight RFID authentication scheme for healthcare systems, In Computer Communications Volume 205 p.147-157.

Ini Kong, Marijn Janssen, Nitesh Bharosa (2023), Analyzing Dependencies among Challenges for Quantum-safe Transition, In CEUR Workshop Proceedings.

A. Rajesh, Wei Ya, M.J.M. Hermans (2023), Anomaly Detection in WAAM Deposition of Nickel Alloys: Single-Material and Cross-Material Analysis , In Metals Volume 13.

Bhawana Sharma, Lokesh Sharma, Chhagan Lal, Satyabrata Roy (2023), Anomaly based network intrusion detection for IoT attacks using deep learning technique, In Computers and Electrical Engineering Volume 107.

Bhawana Sharma, Lokesh Sharma, Chhagan Lal (2023), Anomaly-Based DNN Model for Intrusion Detection in IoT and Model Explanation: Explainable Artificial Intelligence, Sanyog Rawat, Sandeep Kumar, Pramod Kumar, Jaume Anguera (Eds.), In Proceedings of 2nd International Conference on Computational Electronics for Wireless Communications - ICCWC 2022 p.315-324, Springer.