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Nicholas Vretos
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2020 – today
- 2024
- [j17]Georgios Gkarmpounis
, Christos Vranis
Survey on Graph Neural Networks. IEEE Access 12: 128816-128832 (2024) - [j16]Konstantina Mardani
Mahalanobis Distance-Based Graph Attention Networks. IEEE Access 12: 166923-166935 (2024) - [j15]Thomas Kopalidis
Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets. Inf. 15(3): 135 (2024) - [c41]Konstantinos Marthoglou, Nicholas Vretos, Petros Daras:
Variational Structure Learning for Semi-Supervised Classification. MLSP 2024: 1-6 - 2023
- [j14]Christos Avgerinos, Nicholas Vretos
Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks. Sensors 23(3): 1325 (2023) - [j13]Konstantina Mardani
Transformer-Based Fire Detection in Videos. Sensors 23(6): 3035 (2023) - 2022
- [c40]Thomas Theodoridis, George Katsikas, Nicholas Vretos, Petros Daras:
A Symbiotic Orchestration Module for Multi-agent Collaboration in Disaster Response Scenarios. ISCRAM 2022: 771-780 - [c39]Jennifer Jiménez
Monitoring of motor function in the rehabilitation room. PETRA 2022: 683-688 - [c38]Rodrigo Medina-García
Virtual assistants and intelligent care environments for long-term patients: A Home set scenario. PETRA 2022: 689-693 - 2021
- [j12]Thomas Theodoridis
Zernike Pooling: Generalizing Average Pooling Using Zernike Moments. IEEE Access 9: 121128-121136 (2021) - [c37]Vassilis Solachidis, Jaime Rodriguez Moreno, Gustavo Hernández-Peñaloza
TeNDER: towards efficient Health Systems through e-Health platforms employing multimodal monitoring. CHASE 2021: 185-192 - 2020
- [j11]Christos Avgerinos
Non-Parametric Clustering Using Deep Neural Networks. IEEE Access 8: 153630-153640 (2020) - [j10]Kostas Loumponias
An Improved Tobit Kalman Filter with Adaptive Censoring Limits. Circuits Syst. Signal Process. 39(11): 5588-5617 (2020) - [c36]Nikolas Adaloglou, Nicholas Vretos, Petros Daras:
Multi-view Adaptive Graph Convolutions for Graph Classification. ECCV (26) 2020: 398-414 - [c35]Helen C. Leligou
Embracing Novel ICT Technologies to Support the Journey From Camp to Job. ICME Workshops 2020: 1-6 - [c34]Athanasios Lelis, Nicholas Vretos, Petros Daras:
Nadine-Bot: An Open Domain Migrant Integration Administrative Agent. ICME Workshops 2020: 1-6 - [c33]Efthimia Kafali
RobusterNet: Improving Copy-Move Forgery Detection with Volterra-based Convolutions. ICPR 2020: 1160-1165 - [i4]Nikolas Adaloglou
Multi-view adaptive graph convolutions for graph classification. CoRR abs/2007.12450 (2020) - [i3]Paschalis Bizopoulos, Nicholas Vretos, Petros Daras:
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans. CoRR abs/2009.06412 (2020)
2010 – 2019
- 2019
- [j9]Alexandros Doumanoglou
Frequency-based slow feature analysis. Neurocomputing 368: 34-50 (2019) - [j8]Michalis Angelou
Graph-based multimodal fusion with metric learning for multimodal classification. Pattern Recognit. 95: 296-307 (2019) - [j7]Nicholas Vretos, Petros Daras
Exploiting sensing devices availability in AR/VR deployments to foster engagement. Virtual Real. 23(4): 399-410 (2019) - [c32]Yu Zou, Michela Lecca, Massimo Gottardi, Giulio Urlini, Nicholas Vretos
A Battery Powered Vision Sensor for Forensic Evidence Gathering. ICDSC 2019: 15:1-15:6 - [c31]Gerasimos Palaiopanos, Panagiotis Stalidis, Nicholas Vretos
Embedding Big Data in Graph Convolutional Networks. ICE/ITMC 2019: 1-8 - [c30]Alberto Belmonte-Hernández
A novel framework for physical therapy rehabilitation monitoring and assessment in Parkinson disease patients using depth information. PETRA 2019: 535-539 - [i2]Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras:
An Improved Tobit Kalman Filter with Adaptive Censoring Limits. CoRR abs/1911.06190 (2019) - 2018
- [j6]Federico Alvarez, Mirela Popa, Vassilios Solachidis
Behavior Analysis through Multimodal Sensing for Care of Parkinson's and Alzheimer's Patients. IEEE Multim. 25(1): 14-25 (2018) - [c29]Dorothea Tsatsou, Andrew Pomazanskyi, Enrique Hortal
Adaptive Learning Based on Affect Sensing. AIED (2) 2018: 475-479 - [c28]Evaggelos Spyrou, Nicholas Vretos
Exploiting IoT Technologies for Personalized Learning. CIG 2018: 1-8 - [c27]Ioannis Tsingalis
Leveraging Skeleton Structure and Time Dependencies in the Scope of Action Recognition. ICIP 2018: 470-474 - [c26]Christina Chrysouli, Nicholas Vretos
Affective State Recognition based on eye gaze Analysis using two-Stream Convolutional Networks. MLSP 2018: 1-6 - [c25]Vassilis Solachidis
Two examples of online eHealth platforms for supporting people living with cognitive impairments and their caregivers. PETRA 2018: 449-454 - [c24]Kostas Loumponias
Adaptive Tobit Kalman-Based Tracking. SITIS 2018: 70-76 - 2017
- [c23]Alejandro Sánchez-Rico, Pascal Garel, Isabella Notarangelo, Marcos Quintana, Gustavo Hernández, Stylianos Asteriadis
ICT Services for Life Improvement for the Elderly. AAATE Conf. 2017: 600-605 - [c22]Federico Alvarez, Mirela Popa, Nicholas Vretos
Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. AVSS 2017: 1-6 - [c21]Alberto Belmonte-Hernandez
Person tracking association using multi-modal systems. AVSS 2017: 1-6 - [c20]Thomas Theodoridis, Vassilis Solachidis
ICT4Life open source libraries supporting multimodal analysis of different diseases. AVSS 2017: 1-6 - [c19]Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos
Non-linear Convolution Filters for CNN-Based Learning. ICCV 2017: 4771-4779 - [c18]Dimitrios Antonaras, Charis Pavlidis, Nicholas Vretos
Affect state recognition for adaptive human robot interaction in learning environments. SMAP 2017: 71-75 - [c17]Dorothea Tsatsou, Nicholas Vretos
Modelling learning experiences in adaptive multi-agent learning environments. VS-GAMES 2017: 193-200 - [i1]Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos, Petros Daras:
Non-linear Convolution Filters for CNN-based Learning. CoRR abs/1708.07038 (2017) - 2016
- [j5]Georgios Palaiokrassas, Athanasios Voulodimos, Kleopatra Konstanteli, Nicholas Vretos
Social Media Interaction and Analytics for Enhanced Educational Experiences. IEEE Multim. 23(1): 26-35 (2016) - [c16]Alexandros Doumanoglou, Nicholas Vretos
Action recognition from videos using sparse trajectories. ICDP 2016: 1-5 - [c15]Nicholas Vretos
Enhancing real-time full 3D reconstruction of humans with pre-scanned meshes. ICIP 2016: 1091-1095 - 2015
- [j4]Nicholas Vretos
A novel dimensionality reduction technique based on kernel optimization through graph embedding. Signal Image Video Process. 9(Supplement-1): 3-10 (2015) - 2014
- [c14]Dimitrios Christopoulos, Efstathia Chatzi, Anargyros Chatzitofis
Future Media Internet Technologies for Digital Domes. HCI (16) 2014: 339-350 - [c13]Nicholas Vretos
Temporal and color consistent disparity estimation in stereo videos. ICIP 2014: 3798-3802 - 2013
- [j3]Nicholas Vretos
Using robust dispersion estimation in support vector machines. Pattern Recognit. 46(12): 3441-3451 (2013) - [c12]Anargyros Chatzitofis
Three-dimensional monitoring of weightlifting for computer assisted training. VRIC 2013: 3:1-3:7 - 2012
- [b1]Nicholas Vretos:
Ανθρωποκεντρική ανάλυση και σημασιολογική περιγραφή βίντεο. Aristotle University Of Thessaloniki, Greece, 2012 - [j2]Nicholas Vretos
Video fingerprinting using Latent Dirichlet Allocation and facial images. Pattern Recognit. 45(7): 2489-2498 (2012) - [c11]Nicholas Vretos
The use of Audio-Visual Description Profile in 3D video content description. 3DTV-Conference 2012: 1-4 - [c10]Nicholas Vretos
Facial expression recognition with robust covariance estimation and Support Vector Machines. MLSP 2012: 1-5 - 2011
- [j1]Nicholas Vretos
A mutual information based face clustering algorithm for movie content analysis. Image Vis. Comput. 29(10): 693-705 (2011) - [c9]Christina Chrysouli, Nicholas Vretos
Face clustering in videos based on spectral clustering techniques. ACPR 2011: 130-134 - [c8]Nicholas Vretos
3D facial expression recognition using Zernike moments on depth images. ICIP 2011: 773-776
2000 – 2009
- 2009
- [c7]Nicholas Vretos
A model-based facial expression recognition algorithm using Principal Components Analysis. ICIP 2009: 3301-3304 - [c6]Nicholas Vretos
A perceptual hashing algorithm using latent dirichlet allocation. ICME 2009: 362-365 - 2008
- [c5]Nicholas Vretos, Vassilios Solachidis, Petr Somol, Ioannis Pitas:
Facial expression recognition using angle-related information from facial meshes. EUSIPCO 2008: 1-5 - 2007
- [c4]Nicholas Vretos
A Face Tracker Trajectories Clustering Using Mutual Information. MMSP 2007: 207-210 - 2006
- [c3]Nicholas Vretos
A Mutual Information based Face Clustering Algorithm for Movies. ICME 2006: 1013-1016 - 2005
- [c2]Nicholas Vretos, Vassilios Solachidis, Ioannis Pitas:
An anthropocentric description scheme for movies content classification and indexing. EUSIPCO 2005: 1-4 - [c1]Nicholas Vretos
An MPEG-7 Based Description Scheme for Video Analysis Using Anthropocentric Video Content Descriptors. Panhellenic Conference on Informatics 2005: 725-734
Coauthor Index
aka: Vassilis Solachidis
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