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Dimitrios Iakovakis
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2020 – today
- 2022
- [j5]Christos Laganas, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Sofia B. Dias, Sevasti Bostantzopoulou, Zoe Katsarou, Lisa Klingelhöfer, Heinz Reichmann, Dhaval Trivedi, Kallol Ray Chaudhuri, Leontios J. Hadjileontiadis:
Parkinson's Disease Detection Based on Running Speech Data From Phone Calls. IEEE Trans. Biomed. Eng. 69(5): 1573-1584 (2022) - 2021
- [j4]Thomas Bikias, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Leontios J. Hadjileontiadis:
DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson's Disease Patients via Deep Learning. Frontiers Robotics AI 8: 537384 (2021) - 2020
- [j3]Sofia B. Dias, Athina Grammatikopoulou, José Alves Diniz, Kosmas Dimitropoulos, Nikos Grammalidis, Vicky Zilidou, Theodore Savvidis, Evdokimos I. Konstantinidis, Panagiotis D. Bamidis, Hagen Jaeger, Michael Stadtschnitzer, Hugo Silva, Gonçalo Telo, Ioannis Ioakeimidis, George Ntakakis, Fotis Karayiannis, Estelle Huchet, Vera Hoermann, Konstantinos Filis, Elina Theodoropoulou, George L. Lyberopoulos, Konstantinos Kyritsis, Alexandros Papadopoulos, Anastasios Delopoulos, Dhaval Trivedi, Kallol Ray Chaudhuri, Lisa Klingelhöfer, Heinz Reichmann, Sevasti Bostantzopoulou, Zoe Katsarou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Georgios K. Apostolidis, Leontios J. Hadjileontiadis:
Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm. Frontiers Comput. Sci. 2: 20 (2020) - [j2]Anastasia Ntracha, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Magda Tsolaki, Leontios J. Hadjileontiadis:
Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing Processing. Frontiers Digit. Health 2: 567158 (2020) - [c12]Foteini S. Dolianiti, Dimitrios Iakovakis, Sofia B. Dias, Sofia J. Hadjileontiadou, José A. Diniz, Georgia N. Nikolaidou, Melpomeni Tsitouridou, Leontios J. Hadjileontiadis:
Cross-Course and Multi-course Sentiment Classification of Student Posts. BFAL 2020: 55-65 - [c11]Georgios Tsoumalis, Zafeirios Bampos, Athanasios Papazoglou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Georgios K. Apostolidis, Vasileios S. Charisis, Herbert F. Jelinek, Ahsan Khandoker, Kinda Khalaf, Ernesto Damiani, Leontios J. Hadjileontiadis:
CovidSense: A Smartphone-based Initiative for Fighting COVID-19 Spreading. DSAI 2020: 87-92 - [c10]Sofia B. Dias, Pedro Silva, Ilias Chrysovergis, Vasileios S. Charisis, Georgios Tsoumalis, Zafeirios Bampos, Athanasios Papazoglou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Leontios J. Hadjileontiadis, Herbert F. Jelinek:
Smartphone-based Biofeedback Games for Shielding of Immune System against COVID-19: The CovidShield Game Suite design approach. DSAI 2020: 93-97 - [c9]Dimitrios Iakovakis, Rafail E. Mastoras, Stelios Hadjidimitriou, Vasileios S. Charisis, Sevasti Bostantjopoulou, Zoe Katsarou, Lisa Klingelhöfer, Heinz Reichmann, Dhaval Trivedi, Kallol Ray Chaudhuri, Leontios J. Hadjileontiadis:
Smartwatch-based Activity Analysis During Sleep for Early Parkinson's Disease Detection. EMBC 2020: 4326-4329 - [c8]Marios Thomos, Vasileios S. Charisis, Stelios Hadjidimitriou, Dimitrios Iakovakis, Sevasti Bostantzopoulou, Leontios J. Hadjileontiadis:
HoloPrognosis - An AR-Based Serious Exercise Game for Early Stage Parkinson's Disease Patients. HCI (8) 2020: 417-430 - [c7]Alexandros Graikos, Vasileios S. Charisis, Dimitrios Iakovakis, Stelios Hadjidimitriou, Leontios J. Hadjileontiadis:
Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks. HCI (9) 2020: 532-543
2010 – 2019
- 2019
- [c6]Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Sevasti Bostantjopoulou, Zoe Katsarou, Lisa Klingelhöfer, Simone Mayer, Heinz Reichmann, Sofia B. Dias, José A. Diniz, Dhaval Trivedi, Kallol Ray Chaudhuri, Leontios J. Hadjileontiadis:
Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks. EMBC 2019: 3535-3538 - [d1]Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Sevasti Bostantzopoulou, Zoe Katsarou, Leontios J. Hadjileontiadis:
Keystroke timing and pressure data captured during touchscreen typing by early Parkinson's disease patients and healthy controls. Zenodo, 2019 - 2018
- [j1]Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Sevasti Bostantjopoulou, Zoe Katsarou, Lisa Klingelhöfer, Heinz Reichmann, Sofia B. Dias, José A. Diniz, Dhaval Trivedi, Kallol Ray Chaudhuri, Leontios J. Hadjileontiadis:
Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild. Frontiers ICT 5: 28 (2018) - [c5]Sofia J. Hadjileontiadou, Anna Klothou, Vasiliki Basiloudi, Dimitrios Iakovakis, Vasileios S. Charisis, Stelios Hadjidimitriou, Sofia B. Dias, José A. Diniz, Leontios J. Hadjileontiadis, Charalampos Sakonidis:
Using Art and Technology to support Geometry Learning for All: A Conceptual Instructional Design. DSAI 2018: 179-186 - [c4]Foteini S. Dolianiti, Dimitrios Iakovakis, Sofia B. Dias, Sofia J. Hadjileontiadou, José A. Diniz, Leontios J. Hadjileontiadis:
Sentiment Analysis Techniques and Applications in Education: A Survey. TECH-EDU 2018: 412-427 - [c3]Sofia B. Dias, José A. Diniz, Dhaval Trivedi, Elias Konstantinidis, Theodore Savvidis, Panagiotis D. Bamidis, Sevasti Bostantzopoulou, Hagen Jaeger, Michael Stadtschnitzer, Vassilios S. Charisis, Stelios Hadjidimitriou, Dimitrios Iakovakis, Lisa Klingelhöfer, Leontios J. Hadjileontiadis:
On Exploring Design Elements in Assistive Serious Games for Parkinson's Disease Patients: The i-PROGNOSIS Exergames Paradigm. TISHW 2018: 1-8 - 2017
- [c2]Stelios Hadjidimitriou, Dimitrios Iakovakis, Vasileios S. Charisis, Sofia B. Dias, José A. Diniz, Julien Mercier, Leontios J. Hadjileontiadis:
On Capturing Older Adults' Smartphone Keyboard Interaction as a Means for Behavioral Change Under Emotional Stimuli Within i-PROGNOSIS Framework. HCI (7) 2017: 346-356 - 2016
- [c1]Dimitrios Iakovakis, Leontios J. Hadjileontiadis:
Standing hypotension prediction based on smartwatch heart rate variability data: a novel approach. MobileHCI Adjunct 2016: 1109-1112
Coauthor Index
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