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Eleni Vrochidou
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2020 – today
- 2024
- [j14]Ioannis Tsimperidis
, Olga-Dimitra Asvesta, Eleni Vrochidou
IKDD: A Keystroke Dynamics Dataset for User Classification. Inf. 15(9): 511 (2024) - 2023
- [j13]Theofanis Kalampokas
A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques. IEEE Access 11: 46627-46643 (2023) - [j12]Khalid M. Hosny
Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern. IEEE Access 11: 62307-62317 (2023) - [j11]Khalid M. Hosny
Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review. IEEE Access 11: 85467-85488 (2023) - [j10]Eleni Vrochidou
Automatic Facial Palsy Detection - From Mathematical Modeling to Deep Learning. Axioms 12(12): 1091 (2023) - [j9]Theofanis Kalampokas
Connecting national flags - a deep learning approach. Multim. Tools Appl. 82(25): 39435-39457 (2023) - [c24]Eleni Vrochidou, George K. Sidiropoulos, Ioannis Tsimperidis, Athanasios G. Ouzounis, Ilias T. Sarafis, Vassilis Kalpakis, Andreas Stamkos, George A. Papakostas:
Fusion of Thermal and RGB Images for Automated Deep Learning Based Marble Crack Detection. AIIoT 2023: 243-249 - [c23]Eleftherios Batzolis
Machine Learning in Embedded Systems: Limitations, Solutions and Future Challenges. CCWC 2023: 345-350 - [c22]Chrisa Samara, Eleni Vrochidou, George A. Papakostas:
EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning. SoftCOM 2023: 1-7 - [i1]Pavlina Mitsou, Nikoleta-Victoria Tsakalidou, Eleni Vrochidou, George A. Papakostas:
COVID-19 Imposes Rethinking of Conferencing - Environmental Impact Assessment of Artificial Intelligence Conferences. CoRR abs/2311.14692 (2023) - 2022
- [j8]Marios-Christos Malamatinos
On Predicting Soccer Outcomes in the Greek League Using Machine Learning. Comput. 11(9): 133 (2022) - [c21]Eleni Vrochidou, Christos Bazinas, Efthimia Mavridou, Theodore P. Pachidis, Spyridon Mamalis, Stefanos Koundouras, Theodoros Gkrimpizis, Vassilis G. Kaburlasos:
Considerations for a Multi-purpose Agrobot Design Toward Automating Skillful Viticultural Tasks: A Study in Northern Greece Vineyards. HAICTA 2022: 45-51 - [c20]Avraam Koufatzis, Eleni Vrochidou
Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning. IWSSIP 2022: 1-4 - [c19]Vassilis G. Kaburlasos
Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions. NAFIPS 2022: 90-100 - 2021
- [j7]Eleni Vrochidou
Assessment and Localization of Structural Damage in r/c Structures through Intelligent Seismic Signal Processing. Appl. Artif. Intell. 35(9): 670-695 (2021) - [j6]Theofanis Kalampokas
Grape stem detection using regression convolutional neural networks. Comput. Electron. Agric. 186: 106220 (2021) - [j5]Maya Dimitrova
A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education. Frontiers Robotics AI 8: 715962 (2021) - [j4]Maya Dimitrova, Hiroaki Wagatsuma, Aleksandar Krastev, Eleni Vrochidou, J. David Nuñez-Gonzalez:
Corrigendum: A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education. Frontiers Robotics AI 8: 795160 (2021) - [c18]Christos Bazinas, Eleni Vrochidou
Yield Estimation in Vineyards Using Intervals' Numbers Techniques. PCI 2021: 454-459 - 2020
- [j3]Eleni Vrochidou
Intelligent Systems for Structural Damage Assessment. J. Intell. Syst. 29(1): 378-392 (2020) - [c17]Maya Dimitrova
Robotic Technology for Inclusive Education: A Cyber-Physical System Approach to Pedagogical Rehabilitation. CompSysTech 2020: 293-299 - [c16]Theofanis Kalampokas, Konstantinos Tziridis
Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks. EANN 2020: 292-303 - [c15]Eleni Vrochidou, Theodore P. Pachidis, Michail Manios, George A. Papakostas, Vassilis G. Kaburlasos, Serafeim Theocharis, Stefanos Koundouras, Katerina Karabatea, Elizabeth Bouloumpasi, Stavros Pavlidis, Spyridon Mamalis, Theodora Merou:
Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems. HAICTA 2020: 105-113 - [c14]Eleni Vrochidou
Real-time vineyard trunk detection for a grapes harvesting robot via deep learning. ICMV 2020: 116051D - [c13]Vassilis G. Kaburlasos, Eleni Vrochidou
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. IJCNN 2020: 1-6 - [c12]Eftichia Badeka, Eleni Vrochidou
Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing. IEEE Conf. on Intelligent Systems 2020: 171-177 - [c11]Theodore P. Pachidis
Forward Kinematic Analysis of JACO2 Robotic Arm Towards Implementing a Grapes Harvesting Robot. SoftCOM 2020: 1-6
2010 – 2019
- 2019
- [j2]Efthimia Mavridou, Eleni Vrochidou
Machine Vision Systems in Precision Agriculture for Crop Farming. J. Imaging 5(12): 89 (2019) - [c10]Vassilis G. Kaburlasos, Eleni Vrochidou
Time Series Classification in Cyber-Physical System Applications by Intervals' Numbers Techniques. FUZZ-IEEE 2019: 1-6 - [c9]Eftichia Badeka, Theofanis Kalampokas
Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors. ICVS 2019: 98-109 - [c8]Chris Lytridis, Eleni Vrochidou
Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques. IISA 2019: 1-4 - [c7]Vasiliki Holeva
Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD). ICSR 2019: 484-493 - 2018
- [j1]Eleni Vrochidou
Artificial accelerograms composition based on the CEEMD. Trans. Inst. Meas. Control 40(1): 239-250 (2018) - [c6]Snezhana Kostova, Maya Dimitrova
Identifying Needs of Robotic and Technological Solutions for the Classroom. SoftCOM 2018: 1-6 - [c5]Eleni Vrochidou
Open-Source Robotics: Investigation on Existing Platforms and Their Application in Education. SoftCOM 2018: 1-6 - [c4]Eleni Vrochidou
Social Robot NAO as a Self-Regulating Didactic Mediator: a Case Study of Teaching/Learning Numeracy. SoftCOM 2018: 1-5 - [c3]Chris Lytridis
Social Engagement Interaction Games Between Children with Autism and Humanoid Robot NAO. SOCO-CISIS-ICEUTE 2018: 562-570 - 2014
- [c2]Eleni Vrochidou
HHT-Based Artificial Seismic Accelerograms Generation. AIAI 2014: 476-486 - 2012
- [c1]Eleni Vrochidou
Correlation between Seismic Intensity Parameters of HHT-Based Synthetic Seismic Accelerograms and Damage Indices of Buildings. AIAI (1) 2012: 425-434
Coauthor Index
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