Αποτελέσματα 1 έως 19 από 19
| Ημερομηνία | Τίτλος | Συγγραφέας |
| 2019 | Artificial intelligence as a low-cost solution for museum visit digital content enrichment: the case of the folklore museum of Xanthi | George Ioannakis; Loukas Bampis; Anestis Koutsoudis |
| 2020 | Automated aerosol classification from spectral UV measurements using machine learning clustering | Nikolaos Siomos ; Ilias Fountoulakis ; Athanasios Natsis; Theano Drosoglou; Bais, Alkiviadis |
| 2020 | Automated burned scar mapping using Sentinel-2 imagery | Dimitris Stavrakoudis; Thomas Katagis; Chara Minakou; Ioannis Z. Gitas |
| 2018 | Combining statistical data for machine learning analysis | Evangelos Kalampokis; Areti Karamanou; Konstantinos Tarabanis |
| 2022 | Cronos: a machine learning pipeline for description and predictive modeling of microbial communities over time | Aristeidis Litos; Evangelia Intze; Παυλίδης, Παύλος; Ilias Lagkouvardos |
| 2021 | Deep learning modeling of groundwater pollution sources | Kontos, Yiannis N. ; Kassandros, Theodosios ; Katsifarakis, Konstantinos L. ; Karatzas, Kostas |
| 2017 | Detecting depression using voice signal extracted by chatbots: a feasibility study | Alexandros Roniotis; Manolis Tsiknakis |
| 2017 | Detection and management of depression in cancer patients using augmented reality technologies, multimodal signal processing and persuasive interfaces | Alexandros Roniotis; Haridimos Kondylakis; Manolis Tsiknakis |
| 2018 | Formulating QoT estimation with machine learning | Ippokratis Sartzetakis; Konstantinos Christodoulopoulos; Emmanuel Varvarigos |
| 2019 | Information theoretic multi-target feature selection via output space quantization | Konstantinos Sechidis; Eleftherios Spyromitros-Xioufis ; Ioannis Vlahavas |
| 2019 | Multi-target feature selection through output space clustering | Konstantinos Sechidis; Eleftherios Spyromitros-Xioufis; Ioannis Vlahavas |
| 2020 | Multi-target regression via output space quantization | Eleftherios Spyromitros-Xioufis; Konstantinos Sechidis; Ioannis Vlahavas |
| 2021 | Natural language processing and information extraction | Stylianou, Nikolaos |
| 2023 | Neural Networks: deep learning strategies for problems with limited data | Tsourounis Dimitrios |
| 2021 | Regionalizing root-zone soil moisture estimates from ESA CCI Soil Water Index using machine learning and information on soil, vegetation, and climate | Manolis G. Grillakis; Aristeidis G. Koutroulis; Dimitrios D. Alexakis; Christos Polykretis; Ioannis N. Daliakopoulos |
| 2020 | Simulator-generated training datasets as an alternative to using patient data for machine learning: an example in myocardial segmentation with MRI | Christos G. Xanthis; Dimitrios Filos; Kostas Haris; Anthony H.Aletras |
| 2023 | Study of Macroeconomic Variables of the Euro Area using Machine Learning | Sofianos Emmanouil |
| 2019 | Towards a fully automatic processing chain for operationally mapping burned areas countrywide exploiting Sentinel-2 imagery | Dimitris Stavrakoudis; Thomas Katagis; Chara Minakou; Ioannis Z. Gitas |
| 2019 | Αλγόριθμοι δρομολόγησης για ευέλικτα οπτικά δίκτυα | Ιπποκράτης Ε. Σαρτζετάκης |
