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ORCIDIlias Dalainas
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2020 – today
- 2024
[c11]Georgios Feretzakis, Athanasia Harokopou, Olga Fafoula, Athanasios Anastasiou, Efstathia Katoikou, Athina Balaska, Antriana Koulountzou, Georgios Zagkavieros, Stamatia Batzaki, Lida Morou, Ioannis Katsikogiannis, Ilias Dalainas, Georgios Gkritzelas:
From Affect Regulation to BMI: Unveiling Childhood Obesity Patterns Through Advanced Clustering Techniques. MIE 2024: 1714-1715- 2023
- [c10]Vasileios Panteris, Dimitris Kalles, Vassilios S. Verykios, Stefani Vgenopoulou, Aikaterini Pierrakou, Ilias Dalainas, Georgios Feretzakis
:
A Deep Learning Model for Classifying Histological Types of Colorectal Polyps. ICIMTH 2023: 549-552 - [c9]Vasileios Panteris, Georgios Feretzakis, Panagiotis Karantanos, Dimitris Kalles, Vassilios S. Verykios, Maria Panoutsakou, Eirini Karagianni, Christina Zoubouli, Stefani Vgenopoulou, Aikaterini Pierrakou, Maria Theodorakopoulou, Apostolos E. Papalois, Thomas Thomaidis, Ilias Dalainas, Elias Kouroumalis:
Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images. MIE 2023: 576-580 - 2022
- [c8]Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Vasileios Panteris, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis:
Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients. ICIMTH 2022: 405-408 - [c7]Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis:
Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit. ICIMTH 2022: 430-433 - [c6]Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Lazaros Tzelves, Vasileios Panteris, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis:
Exploratory Clustering for Emergency Department Patients. ICIMTH 2022: 503-506 - [c5]Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Vasileios Panteris, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis:
Prediction of Hospitalization Using Machine Learning for Emergency Department Patients. MIE 2022: 145-146 - 2021
- [c4]Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Georgios Karlis, Dimitris Kalles, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis:
Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach. ICIMTH 2021: 297-300 - [c3]Aikaterini Sakagianni, Georgios Feretzakis, Georgios Karlis, Evangelos Loupelis, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis:
Admission and Discharge Following Ambulance Transport to the Emergency Department. ICIMTH 2021: 418-421 - [c2]Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Maria Martsoukou, Nikoleta Skarmoutsou, Constantinos Christopoulos, Malvina Lada, Aikaterini Velentza, Stavroula Petropoulou, Sophia Michelidou, Vasileios Kaldis, Rea Chatzikyriakou, Ilias Dalainas, Evangelos Dimitrellos:
Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains. MIE 2021: 43-47 - [c1]Georgios Feretzakis, Georgios Karlis, Konstantinos Tsekouras, Stamatios Orfanos, Evangelos Loupelis, Stavroula Petropoulou, Konstantinos Mantzouranis, Makrina Tsafaridou, Rea Chatzikyriakou, Aikaterini Sofianou, Paraskevi Zafeiriadou, Aikaterini Tika, Ilias Dalainas, Vasileios Kaldis:
Analyzing Acute Care Surgery Patient Flow in the Emergency Department During COVID-19 Pandemic. MIE 2021: 540-544 - [i1]Georgios Feretzakis, George Karlis, Evangelos Loupelis, Dimitris Kalles, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Aikaterini Sakagianni, Lazaros Tzelves, Stavroula Petropoulou, Aikaterini Tika, Ilias Dalainas, Vasileios Kaldis:
Using machine learning techniques to predict hospital admission at the emergency department. CoRR abs/2106.12921 (2021)
Coauthor Index
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