An Opportunistic Network Approach Towards Disease Spreading. - Sara Joneydi; Mohammad Khansari 002; Amin Kaveh (COMPLEX NETWORKS, 2017)

Comparing node degrees in probabilistic networks. - Amin Kaveh; Matteo Magnani; Christian Rohner (J. Complex Networks, 2019)

Probabilistic network sparsification with ego betweenness. - Amin Kaveh; Matteo Magnani; Christian Rohner (Appl. Netw. Sci., 2021)

Defining and measuring probabilistic ego networks. - Amin Kaveh; Matteo Magnani; Christian Rohner (Soc. Netw. Anal. Min., 2021)

Uncertainty in fMRI Functional Networks of Autism Brain Imaging Data. - Amin Kaveh; Matteo Magnani; Christian Rohner (CoRR, 2022)

Modelling and Analysis of Probabilistic Networks. - Amin Kaveh (2022)

On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT. - Amin Kaveh; Adam Pettersson; Christian Rohner; Andreas Johnsson (NOMS, 2023)

Data generation and knowledge sharing for robust intrusion detection in IoT systems. - Amin Kaveh; Andreas Johnsson; Christian Rohner (IEEE DataPort, 2024)

Factors Influencing LSTM Model Generalizability for IoT Intrusion Detection. - Amin Kaveh; Noah Wassberg; Christian Rohner; Andreas Johnsson (NetSoft, 2025)