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Konstantinos Kotrotsios
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2020 – today
- 2023
- [j2]Anastasios Fanariotis, Theofanis Orphanoudakis, Konstantinos Kotrotsios, Vassilis E. Fotopoulos, Georgios Keramidas, Panagiotis Karkazis:
Power Efficient Machine Learning Models Deployment on Edge IoT Devices. Sensors 23(3): 1595 (2023) - 2022
- [j1]Konstantinos Kotrotsios, Anastasios Fanariotis, Helen-Catherine Leligou, Theofanis Orphanoudakis:
Design Space Exploration of a Multi-Model AI-Based Indoor Localization System. Sensors 22(2): 570 (2022) - [c8]Alexandros I. Metsai, Konstantinos Karamitsios, Konstantinos Kotrotsios, Periklis Chatzimisios, George Stalidis, Kostas Goulianas:
Reinforcement Learning for Neural Collaborative Filtering. ICAIIC 2022: 280-283 - [c7]Alexandros I. Metsai, Konstantinos Karamitsios, Konstantinos Kotrotsios, Periklis Chatzimisios, George Stalidis, Kostas Goulianas:
Evolution of Neural Collaborative Filtering for Recommender Systems. KST 2022: 86-90 - [c6]Ioannis-Aris Kostis, Dimitrios Sarafis, Konstantinos Karamitsios, Konstantinos Kotrotsios, Kalliopi Kravari, Costin Badica, Periklis Chatzimisios:
Towards an Integrated Retrieval System to Semantically Match CVs, Job Descriptions and Curricula. PCI 2022: 151-157 - 2021
- [c5]Konstantinos Kotrotsios, Theofanis Orphanoudakis:
Accurate Gridless Indoor Localization Based on Multiple Bluetooth Beacons and Machine Learning. ICARA 2021: 190-194 - [c4]Alexandros I. Metsai, Irene-Maria Tabakis, Konstantinos Karamitsios, Konstantinos Kotrotsios, Periklis Chatzimisios, George Stalidis, Kostas Goulianas:
Customer Journey: Applications of AI and Machine Learning in E-Commerce. IMCL 2021: 123-132 - [c3]Nikolaos Georgoulopoulos, Alkiviadis A. Hatzopoulos, Konstantinos Karamitsios, Irene-Maria Tabakis, Konstantinos Kotrotsios, Alexandros I. Metsai:
A Survey on Hardware Failure Prediction of Servers Using Machine Learning and Deep Learning. MOCAST 2021: 1-5 - [c2]Nikolaos Georgoulopoulos, Alkis A. Hatzopoulos, Konstantinos Karamitsios, Irene-Maria Tabakis, Konstantinos Kotrotsios, Alexandros I. Metsai:
Investigation and Simulation of Hardware Errors in Kernel Logs of Linux-based Server Systems. SEEDA-CECNSM 2021: 1-7
2010 – 2019
- 2019
- [c1]Konstantinos Kotrotsios, Theofanis Orphanoudakis:
Bluetooth Beacon Based Accurate Indoor Positioning Using Machine Learning. SEEDA-CECNSM 2019: 1-6
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