| Machine learning in agriculture: A review KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis Sensors 18 (8), 2674, 2018 | 2532 | 2018 |
| Machine Learning for Hardware Trojan Detection: A Review KG Liakos, GK Georgakilas, S Moustakidis, P Karlsson, FC Plessas 2019 Panhellenic Conference on Electronics & Telecommunications (PACET), 1-6, 2020 | 53 | 2020 |
| Conventional and machine learning approaches as countermeasures against hardware trojan attacks KG Liakos, GK Georgakilas, S Moustakidis, N Sklavos, FC Plessas Microprocessors and Microsystems 79, 103295, 2020 | 41 | 2020 |
| Multi-branch convolutional neural network for identification of small non-coding RNA genomic loci GK Georgakilas, A Grioni, KG Liakos, E Chalupova, FC Plessas, ... Scientific reports 10 (1), 9486, 2020 | 26 | 2020 |
| Machine Learning Based Computational Analysis Method for Cattle Lameness Prediction K Liakos, S Moustakidis, G Tsiotra, T Bartzanas, D Bochtis, C Parisses Proceedings of the 8th International Conference on Information and …, 2017 | 15 | 2017 |
| Hardware Trojan classification at gate-level netlists based on area and power machine learning analysis KG Liakos, GK Georgakilas, FC Plessas 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 412-417, 2021 | 9 | 2021 |
| Gainesis: Generative artificial intelligence netlists synthesis KG Liakos, GK Georgakilas, FC Plessas, P Kitsos Electronics 11 (2), 245, 2022 | 8 | 2022 |
| A Software Tool for Efficient Agricultural Logistics D Katikaridis, D Bechtsis, I Menexes, K Liakos, D Vlachos, D Bochtis Proceedings of the 8th International Conference on Information and …, 2017 | 4 | 2017 |
| A novel holistic approach for hardware trojan detection powered by deep learning (HERO) SP Moustakidis, KG Liakos, GK Georgakilas, N Sketopoulos, S Seimoglou, ... | 3 | 2020 |
| Hardware and System Security: Attacks and Countermeasures Against Hardware Trojans K Liakos, G Georgakilas, F Plessas Frontiers of Quality Electronic Design (QED) AI, IoT and Hardware Security …, 2023 | 1 | 2023 |
| CAS-HtBase: a new database for the study of HTs at the pre-silicon stage of ASICs KG Liakos, FC Plessas 2022 Panhellenic Conference on Electronics & Telecommunications (PACET), 1-5, 2022 | 1 | 2022 |
| MuStARD: Deep Learning for intra-and inter-species scanning of functional genomic patterns GK Georgakilas, A Grioni, KG Liakos, E Malanikova, FC Plessas, ... bioRxiv, 547679, 2019 | 1 | 2019 |
| MuStARD: a deep learning method for intra-and interspecies scanning identification of small RNA molecules GK Georgakilas, A Grioni, KG Liakos, E Malanikova, FC Plessas, ... March, 2019 | 1 | 2019 |
| Εργαλείο για χρονοπρογραμματισμό και έλεγχο σε πραγματικό χρόνο της πλοήγησης των αυτοματοποιημένων καθοδηγούμενων οχημάτων Β Μωυσιάδης, Δ Μπεχτσής, Κ Λιάκος, Δ Βλάχος, Δ Μπόχτης ΕΓΜΕ, 2017 | | 2017 |
| Ανάπτυξη λογισμικού για τον τομέα των αγροτικών μεταφορών με χρήση των υπηρεσιών google χαρτών Δ Κατικαρίδης, Δ Μπεχτσής, Κ Λιάκος, Δ Βλάχος, Δ Μπόχτης ΕΓΜΕ, 2017 | | 2017 |
| Υπολογιστική ανάλυση βασιζόμενη σε μηχανική μάθηση για τον εντοπισμό της χωλότητας στα βοοειδή Κ Λιάκος, Σ Μουστακίδης, Θ Μπαρτζάνας, Δ Μπόχτης ΕΓΜΕ, 2017 | | 2017 |
| Agent Based Software Tool for Efficient Agricultural Logistics D Katikaridis, D Bechtsis, K Liakos, D Vlachos, D Bochtis HAICTA, 363-371, 2017 | | 2017 |
Dionysis BochtisDepartment of Engineering, Aarhus University在 eng.au.dk 的电子邮件经过验证
