Konstantinos G Liakos

Cited by

	All	Since 2019
Citations	2479	2452
h-index	7	7
i10-index	5	5

700

350

175

525

201920202021202220232024109 329 506 682 647 179

Public access

View all

3 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Dionysis BochtisDepartment of Engineering, Aarhus UniversityVerified email at eng.au.dk
George GeorgakilasUniversity of Pennsylvania School of MedicineVerified email at pennmedicine.upenn.edu
Fotis PlessasFull Professor of Electrical Engineering, University of Thessaly, GreeceVerified email at inf.uth.gr
Dimitrios MoshouFull Professor, Faculty of Agriculture, Aristotle University of ThessalonikiVerified email at agro.auth.gr
Patrizia BusatoUniversity of TurinVerified email at unito.it
Simon PearsonUniversity of LincolnVerified email at lincoln.ac.uk
Serafeim MoustakidisAiDEAS OUVerified email at aideas.eu
Andrea GrioniNovartis Institute for Biomedical Research (NIBR)Verified email at novartis.com
Nicolas SklavosComputer Engineering and Informatics Department (CEID), University of Patras, GreeceVerified email at upatras.gr
Panagiotis AlexiouERA Chair, University of MaltaVerified email at um.edu.mt
Thomas BartzanasAgricultural University of Athens, Lab of Farm Structures,Verified email at aua.gr
Dimitrios BechtsisInternational Hellenic University (IHU), Industrial Engineering and ManagementVerified email at ihu.gr
Paris KitsosProfessor of Electrical & Computer Engineering Department, University of the PeloponneseVerified email at uop.gr
Dimitrios VlachosAristotle University Of ThessalonikiVerified email at auth.gr
Nikolaos SketopoulosUniversity of ThessalyVerified email at e-ce.uth.gr

Konstantinos G Liakos

Department of Computer Science, College of William and Mary, USA

Verified email at wm.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning in agriculture: A review KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis Sensors 18 (8), 2674, 2018	2327	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	47	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	40	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	12	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	7	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

The system can't perform the operation now. Try again later.

Articles 1–17

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors