| Self-healing and resilience in future 5G cognitive autonomous networks J Ali-Tolppa, S Kocsis, B Schultz, L Bodrog, M Kajo 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), 1-8, 2018 | 30 | 2018 |
| Machine-learning-based predictive handover A Masri, T Veijalainen, H Martikainen, S Mwanje, J Ali-Tolppa, M Kajó 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2021 | 22 | 2021 |
| A robust algorithm for anomaly detection in mobile networks L Bodrog, M Kajo, S Kocsis, B Schultz 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and …, 2016 | 22 | 2016 |
| A Genetic Feature Selection Algorithm for Anomaly Classification in Mobile Networks. M Kajó, S Nováczki ICIN, 2016 | 11 | 2016 |
| A unified service‐based capability exposure framework for closed‐loop network automation M Gramaglia, M Kajo, C Mannweiler, Ö Bulakci, Q Wei Transactions on Emerging Telecommunications Technologies 33 (11), e4598, 2022 | 6 | 2022 |
| Environment modeling and abstraction of network states for cognitive functions SS Mwanje, M Kajó, S Majumdar, G Carle NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-8, 2020 | 6 | 2020 |
| Modeling and abstraction of network and environment states using deep learning SS Mwanje, M Kajo, J Ali-Tolppa IEEE Network 34 (6), 8-13, 2020 | 5 | 2020 |
| Mobility and QoS prediction for dynamic coverage optimization J Ali-Tolppa, M Kajó NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-2, 2020 | 5 | 2020 |
| Diagnosis knowledge sharing for self-healing JT Ali-tolppa, B Schultz, M Kajó US Patent 11,671,308, 2023 | 4 | 2023 |
| User Localization in 5G Mobile Networks S Zügner, M Kajo Network 33, 2020 | 3 | 2020 |
| Equal-volume quantization of mobile network data using bounding spheres and boxes M Kajó, B Schultz, J Ali-Tolppa, G Carle NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2018 | 3 | 2018 |
| Clustering with deep neural networks–an overview of recent methods J Schnellbach, M Kajo Network 39 (2), 39-43, 2020 | 2 | 2020 |
| Robust Deep Learning against Corrupted Data in Cognitive Autonomous Networks M Kajó, J Schnellbach, SS Mwanje, G Carle NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-7, 2022 | 1 | 2022 |
| Cognitive Autonomy for Network Self‐Healing J Ali‐Tolppa, M Kajo, B Gajic, I Malanchini, B Schultz, Q Liao Towards Cognitive Autonomous Networks: Network Management Automation for 5G …, 2020 | 1 | 2020 |
| Providing confidence thresholds in an analytics request or subscription T Subramanya, JT Ali-tolppa, M Kajó US Patent App. 18/273,822, 2024 | | 2024 |
| Network state modelling M Kajó, B Schultz, S Mwanje US Patent App. 18/252,861, 2023 | | 2023 |
| Method and an apparatus for fault prediction in network management B Schultz, JT Ali-tolppa, M Kajó US Patent 11,558,262, 2023 | | 2023 |
| Machine Intuition in Mobile Network Automation M Kajó Technische Universität München, 2023 | | 2023 |
| Clustering Mobile Network Data with Decorrelating Adversarial Nets M Kajó, J Schnellbach, SS Mwanje, G Carle NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2022 | | 2022 |
| Collaborative SLAM over Mobile Networks HM Do, M Kajo Network 5, 2021 | | 2021 |
