| Machine learning and deep learning in smart manufacturing: The smart grid paradigm T Kotsiopoulos, P Sarigiannidis, D Ioannidis, D Tzovaras Computer Science Review 40, 100341, 2021 | 309 | 2021 |
| Multimedia security handbook B Furht, D Kirovski CRC press, 2004 | 287 | 2004 |
| Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution TD Mastos, A Nizamis, T Vafeiadis, N Alexopoulos, C Ntinas, D Gkortzis, ... Journal of cleaner production 269, 122377, 2020 | 249 | 2020 |
| Use of depth and colour eigenfaces for face recognition F Tsalakanidou, D Tzovaras, MG Strintzis Pattern recognition letters 24 (9-10), 1427-1435, 2003 | 244 | 2003 |
| COVID-19 mobile apps: a systematic review of the literature H Kondylakis, DG Katehakis, A Kouroubali, F Logothetidis, ... Journal of medical Internet research 22 (12), e23170, 2020 | 239 | 2020 |
| Introducing an application of an industry 4.0 solution for circular supply chain management TD Mastos, A Nizamis, S Terzi, D Gkortzis, A Papadopoulos, ... Journal of Cleaner Production 300, 126886, 2021 | 237 | 2021 |
| Deep learning on multi sensor data for counter UAV applications—A systematic review S Samaras, E Diamantidou, D Ataloglou, N Sakellariou, A Vafeiadis, ... Sensors 19 (22), 4837, 2019 | 226 | 2019 |
| Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding NV Boulgouris, D Tzovaras, MG Strintzis IEEE Transactions on Image Processing 10 (1), 1-14, 2001 | 184 | 2001 |
| On the design of a blockchain-based system to facilitate healthcare data sharing A Theodouli, S Arakliotis, K Moschou, K Votis, D Tzovaras 2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018 | 176 | 2018 |
| Object-based coding of stereo image sequences using joint 3-D motion/disparity compensation D Tzovaras, N Grammalidis, MG Strintzis IEEE Transactions on Circuits and Systems for Video Technology 7 (2), 312-327, 1997 | 174 | 1997 |
| NILM applications: Literature review of learning approaches, recent developments and challenges GF Angelis, C Timplalexis, S Krinidis, D Ioannidis, D Tzovaras Energy and Buildings 261, 111951, 2022 | 168 | 2022 |
| Can a virtual reality cognitive training application fulfill a dual role? Using the virtual supermarket cognitive training application as a screening tool for mild cognitive … S Zygouris, D Giakoumis, K Votis, S Doumpoulakis, K Ntovas, S Segkouli, ... Journal of Alzheimer's Disease 44 (4), 1333-1347, 2015 | 167 | 2015 |
| Blocking artifact detection and reduction in compressed data GA Triantafyllidis, D Tzovaras, MG Strintzis IEEE Transactions on Circuits and Systems for Video technology 12 (10), 877-890, 2002 | 166 | 2002 |
| Simulating fog and edge computing scenarios: An overview and research challenges S Svorobej, P Takako Endo, M Bendechache, C Filelis-Papadopoulos, ... Future Internet 11 (3), 55, 2019 | 156 | 2019 |
| Feature learning for human activity recognition using convolutional neural networks: A case study for inertial measurement unit and audio data F Cruciani, A Vafeiadis, C Nugent, I Cleland, P McCullagh, K Votis, ... CCF Transactions on Pervasive Computing and Interaction 2 (1), 18-32, 2020 | 146 | 2020 |
| Gait recognition using compact feature extraction transforms and depth information D Ioannidis, D Tzovaras, IG Damousis, S Argyropoulos, K Moustakas IEEE Transactions on Information Forensics and security 2 (3), 623-630, 2007 | 140 | 2007 |
| Non-destructive quality control methods in additive manufacturing: a survey P Charalampous, I Kostavelis, D Tzovaras Rapid Prototyping Journal 26 (4), 777-790, 2020 | 131 | 2020 |
| A gamified augmented reality application for digital heritage and tourism I Paliokas, AT Patenidis, EE Mitsopoulou, C Tsita, G Pehlivanides, ... Applied Sciences 10 (21), 7868, 2020 | 121 | 2020 |
| The smart city business model canvas—A smart city business modeling framework and practical tool P Giourka, MWJL Sanders, K Angelakoglou, D Pramangioulis, ... Energies 12 (24), 4798, 2019 | 116 | 2019 |
| A graph neural network method for distributed anomaly detection in IoT A Protogerou, S Papadopoulos, A Drosou, D Tzovaras, I Refanidis Evolving Systems 12 (1), 19-36, 2021 | 115 | 2021 |
votis konstantinosCentre for Research and Technology Hellas/Information Technologies Institute (CERTH/ITI)E-mail megerősítve itt: iti.gr