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ORCIDKalliopi Dalakleidi
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2020 – today
- 2022
[j3]Alexia G. Tzalavra
, Ioannis Andreadis, Kalliopi V. Dalakleidi, Fotios Constantinidis, Evangelia I. Zacharaki, Konstantina S. Nikita:
Dynamic contrast enhanced-magnetic resonance imaging radiomics combined with a hybrid adaptive neuro-fuzzy inference system-particle swarm optimization approach for breast tumour classification. Expert Syst. J. Knowl. Eng. 39(4) (2022)- [j2]Konstantinos Mitsis, Konstantia Zarkogianni, Eleftherios Kalafatis, Kalliopi Dalakleidi, Amyn Jaafar, Georgios Mourkousis, Konstantina S. Nikita:
A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health. Sensors 22(7): 2472 (2022) - [i2]Panagiota Karatza, Kalliopi V. Dalakleidi, Maria Athanasiou, Konstantina S. Nikita:
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis. CoRR abs/2202.02131 (2022) - [i1]Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi, Nikos Melanitis, Spyretta Golemati, Konstantina S. Nikita:
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images. CoRR abs/2202.02428 (2022) - 2021
- [c8]Panagiota Karatza, Kalliopi Dalakleidi, Maria Athanasiou, Konstantina S. Nikita:
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis. EMBC 2021: 2310-2313 - [c7]Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi, Nikos Melanitis, Spyretta Golemati, Konstantina S. Nikita:
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images. EMBC 2021: 3902-3905
2010 – 2019
- 2019
- [c6]Konstantinos Mitsis, Konstantia Zarkogianni, Kalliopi Dalakleidi, George Mourkousis, Konstantina S. Nikita:
Evaluation of a Serious Game Promoting Nutrition and Food Literacy: Experiment Design and Preliminary Results. BIBE 2019: 497-502 - [c5]Emmanouil Fragkiadakis, Kalliopi V. Dalakleidi, Konstantina S. Nikita:
Design and Development of a Sitting Posture Recognition System. EMBC 2019: 3364-3367 - 2018
- [c4]Kleomenis Kogias, Ioannis Andreadis, Kalliopi Dalakleidi, Konstantina S. Nikita:
A Two-Level Food Classification System For People With Diabetes Mellitus Using Convolutional Neural Networks. EMBC 2018: 2603-2606 - 2017
- [j1]Kalliopi Dalakleidi, Konstantia Zarkogianni, Anastasia C. Thanopoulou, Konstantina S. Nikita:
Comparative assessment of statistical and machine learning techniques towards estimating the risk of developing type 2 diabetes and cardiovascular complications. Expert Syst. J. Knowl. Eng. 34(6) (2017) - [c3]Kalliopi Dalakleidi, Myriam Sarantea, Konstantina S. Nikita:
A Modified All-and-One Classification Algorithm Combined with the Bag-of-Features Model to Address the Food Recognition Task. HEALTHINF 2017: 284-290 - 2016
- [c2]Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki, Nikolaos N. Tsiaparas, Fotios Constantinidis, Nikos Paragios, Konstantina S. Nikita:
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. MLMI@MICCAI 2016: 296-304 - 2013
- [c1]Kalliopi Dalakleidi, Konstantia Zarkogianni, Vassilios G. Karamanos, Anastasia C. Thanopoulou, Konstantina S. Nikita:
A hybrid genetic algorithm for the selection of the critical features for risk prediction of cardiovascular complications in Type 2 Diabetes patients. BIBE 2013: 1-4 - 2011
- [p1]Kalliopi Dalakleidi, Stamatia Dasiopoulou, Giorgos Stoilos, Vassilis Tzouvaras, Giorgos B. Stamou, Yiannis Kompatsiaris:
Semantic Representation of Multimedia Content. Knowledge-Driven Multimedia Information Extraction and Ontology Evolution 2011: 18-49
Coauthor Index
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