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ORCIDVangelis Metsis
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2020 – today
- 2024
[c52]Bikram De, Mykhailo Sakevych, Vangelis Metsis
:
The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical Data. AIME (1) 2024: 192-203- [c51]Habib Irani, Vangelis Metsis:
Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy. FLAIRS 2024 - [c50]Alexander Katrompas, Vangelis Metsis:
Many-to-Many Prediction for Effective Modeling of Frequent Label Transitions in Time Series. PETRA 2024 - [i4]Xiaomin Li, Mykhailo Sakevych, Gentry Atkinson, Vangelis Metsis:
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis. CoRR abs/2401.10282 (2024) - 2023
- [c49]Gentry Atkinson, Xiaomin Li, Vangelis Metsis:
Conditional Diffusion with Label Smoothing for Data Synthesis from Examples with Noisy Labels. EUSIPCO 2023: 1300-1304 - [c48]Alexander Katrompas, Vangelis Metsis:
Temporal Attention Signatures for Interpretable Time-Series Prediction. ICANN (6) 2023: 268-280 - [c47]Lee B. Hinkle, Tristan Pedro, Tyler Lynn, Gentry Atkinson, Vangelis Metsis:
Assisted Labeling Visualizer (ALVI): A Semi-Automatic Labeling System For Time-Series Data. ICASSP Workshops 2023: 1-5 - [c46]Lee B. Hinkle, Gentry Atkinson, Vangelis Metsis:
Fusion of Learned Representations for Multimodal Sensor Data Classification. AIAI (1) 2023: 404-415 - [c45]Lee B. Hinkle, Vangelis Metsis:
An LLVM-Inspired Framework for Unified Processing of Multimodal Time-Series Data. PETRA 2023: 91-94 - [c44]Xiaomin Li, Ramin Nabati, Kunjan Singh, Enrique Corona, Vangelis Metsis, Armin Parchami:
EMOD: Efficient Moving Object Detection via Image Eccentricity Analysis and Sparse Neural Networks. WACV (Workshops) 2023: 51-59 - 2022
- [j12]Anne Hee Hiong Ngu, Vangelis Metsis, Shuan Coyne, Priyanka Srinivas, Tarek Salad, Uddin Mahmud, Kyong Hee Chee:
Personalized Watch-Based Fall Detection Using a Collaborative Edge-Cloud Framework. Int. J. Neural Syst. 32(12): 2250048:1-2250048:18 (2022) - [c43]Alexander Katrompas, Theodoros Ntakouris, Vangelis Metsis:
Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study. AIME 2022: 99-109 - [c42]Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu:
TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network. AIME 2022: 133-143 - [c41]Morgan Byers, Lee B. Hinkle, Vangelis Metsis:
Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models. AIAI (2) 2022: 402-413 - [c40]Lee B. Hinkle, Vangelis Metsis:
Individual Convolution of Ankle, Hip, and Wrist Data for Activities-of-Daily-Living Classification. Intelligent Environments 2022: 1-4 - [c39]Lee B. Hinkle, Gentry Atkinson, Vangelis Metsis:
An End-to-End Methodology for Semi-Supervised HAR Data Collection, Labeling, and Classification Using a Wristband. Intelligent Environments (Workshops) 2022: 370-379 - [c38]Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong:
Measuring Bias and Fairness in Multiclass Classification. NAS 2022: 1-6 - [i3]Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu:
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network. CoRR abs/2202.02691 (2022) - [i2]Xiaomin Li, Anne Hee Hiong Ngu, Vangelis Metsis:
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation. CoRR abs/2206.13676 (2022) - 2021
- [j11]Taylor R. Mauldin, Anne H. H. Ngu, Vangelis Metsis, Marc E. Canby:
Ensemble Deep Learning on Wearables Using Small Datasets. ACM Trans. Comput. Heal. 2(1): 5:1-5:30 (2021) - [c37]Morgan Byers, Vangelis Metsis:
Text Analysis for Understanding Symptoms of Social Anxiety in Student Veterans. AAAI 2021: 15958-15959 - [c36]Lee B. Hinkle, Vangelis Metsis:
Model Evaluation Approaches for Human Activity Recognition from Time-Series Data. AIME 2021: 209-215 - [c35]Anne H. H. Ngu, Shaun Coyne, Priyanka Srinivas, Vangelis Metsis:
Collaborative Edge-Cloud Computing for Personalized Fall Detection. AIAI 2021: 323-336 - [c34]Gentry Atkinson, Vangelis Metsis:
A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data. AIAI 2021: 479-493 - [c33]Alexander Katrompas, Vangelis Metsis:
Enhancing LSTM Models with Self-attention and Stateful Training. IntelliSys (1) 2021: 217-235 - [c32]Gentry Atkinson, Vangelis Metsis:
TSAR: a Time Series Assisted Relabeling Tool for Reducing Label Noise. PETRA 2021: 203-209 - [i1]Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, Ziliang Zong:
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks. CoRR abs/2110.04397 (2021) - 2020
- [j10]George Koutitas, Varun Kumar Siddaraju, Vangelis Metsis:
In Situ Wireless Channel Visualization Using Augmented Reality and Ray Tracing. Sensors 20(3): 690 (2020) - [c31]Gentry Atkinson, Vangelis Metsis:
Identifying label noise in time-series datasets. UbiComp/ISWC Adjunct 2020: 238-243 - [c30]Anne H. H. Ngu, Vangelis Metsis, Shaun Coyne, Brian Chung, Rachel Pai, Joshua Chang:
Personalized Fall Detection System. PerCom Workshops 2020: 1-7
2010 – 2019
- 2019
- [j9]Taylor R. Mauldin, Anne H. H. Ngu, Vangelis Metsis, Marc E. Canby, Jelena Tesic:
Experimentation and Analysis of Ensemble Deep Learning in IoT Applications. Open J. Internet Things 5(1): 133-149 (2019) - [c29]Lee Hinkle, Kamrad Khoshhal, Vangelis Metsis:
Physiological Measurement for Emotion Recognition in Virtual Reality. ICDIS 2019: 136-143 - [c28]George Koutitas, Kenneth Scott Smith, Grayson Lawrence, Vangelis Metsis, Clayton Stamper, Mark Trahan, Ted Lehr:
A virtual and augmented reality platform for the training of first responders of the ambulance bus. PETRA 2019: 299-302 - 2018
- [j8]Taylor R. Mauldin, Marc E. Canby, Vangelis Metsis, Anne H. H. Ngu, Coralys Cubero Rivera:
SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning. Sensors 18(10): 3363 (2018) - 2017
- [j7]Anne Hee Hiong Ngu, Mario A. Gutierrez, Vangelis Metsis, Surya Nepal, Quan Z. Sheng:
IoT Middleware: A Survey on Issues and Enabling Technologies. IEEE Internet Things J. 4(1): 1-20 (2017) - [j6]Kamrad Khoshhal Roudposhti, Jorge Dias, Paulo Peixoto, Vangelis Metsis, Urbano Nunes:
A Multilevel Body Motion-Based Human Activity Analysis Methodology. IEEE Trans. Cogn. Dev. Syst. 9(1): 16-29 (2017) - [c27]Adam Anderson, Thomas Hsiao, Vangelis Metsis:
Classification of Emotional Arousal During Multimedia Exposure. PETRA 2017: 181-184 - 2015
- [c26]Hugo Espiritu, Vangelis Metsis:
Automated Detection of Sleep Disorder-Related Events from Polysomnographic Data. ICHI 2015: 562-569 - [c25]Alexandros Lioulemes, Paul Sassaman, Shawn N. Gieser, Vangelis Karkaletsis, Fillia Makedon, Vangelis Metsis:
Self-managed patient-game interaction using the barrett WAM arm for motion analysis. PETRA 2015: 34:1-34:8 - [c24]Vangelis Metsis, Ioannis D. Schizas, Gregg Marshall:
Real-time subspace denoising of polysomnographic data. PETRA 2015: 77:1-77:4 - [c23]Michalis Papakostas, James Staud, Fillia Makedon, Vangelis Metsis:
Monitoring breathing activity and sleep patterns using multimodal non-invasive technologies. PETRA 2015: 78:1-78:4 - [c22]Dylan Ebert, Vangelis Metsis, Fillia Makedon:
Development and evaluation of a unity-based, kinect-controlled avatar for physical rehabilitation. PETRA 2015: 88:1-88:2 - 2014
- [j5]Vangelis Metsis, Dimitrios I. Kosmopoulos, Vassilis Athitsos, Fillia Makedon:
Non-invasive analysis of sleep patterns via multimodal sensor input. Pers. Ubiquitous Comput. 18(1): 19-26 (2014) - [j4]Vangelis Metsis, Fillia Makedon, Dinggang Shen, Heng Huang:
DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 168-181 (2014) - [c21]Scott Phan, Alexandros Lioulemes, Cyril Lutterodt, Fillia Makedon, Vangelis Metsis:
Guided physical therapy through the use of the Barrett WAM robotic arm. HAVE 2014: 24-28 - [c20]David Paulk, Vangelis Metsis, Christopher McMurrough, Fillia Makedon:
A supervised learning approach for fast object recognition from RGB-D data. PETRA 2014: 5:1-5:8 - [c19]Alexandros Lioulemes, Georgios Galatas, Vangelis Metsis, Gian Luca Mariottini, Fillia Makedon:
Safety challenges in using AR.Drone to collaborate with humans in indoor environments. PETRA 2014: 33:1-33:4 - [c18]Shawn N. Gieser, Vangelis Metsis, Fillia Makedon:
Quantitative evaluation of the kinect skeleton tracker for physical rehabilitation exercises. PETRA 2014: 48:1-48:4 - 2013
- [j3]Christopher McMurrough, Vangelis Metsis, Dimitrios I. Kosmopoulos, Ilias Maglogiannis, Fillia Makedon:
A dataset for point of gaze detection using head poses and eye images. J. Multimodal User Interfaces 7(3): 207-215 (2013) - [c17]Vangelis Metsis, Pat Jangyodsuk, Vassilis Athitsos, Maura Iversen, Fillia Makedon:
Computer aided rehabilitation for patients with rheumatoid arthritis. ICNC 2013: 97-102 - [c16]Dimitrios Zikos, Georgios Galatas, Vangelis Metsis, Fillia Makedon:
A web ontology for Brain Trauma Patient Computer-Assisted Rehabilitation. ICIMTH 2013: 100-102 - [c15]Alexandros Papangelis, Robert Gatchel, Vangelis Metsis, Fillia Makedon:
An adaptive dialogue system for assessing post traumatic stress disorder. PETRA 2013: 49:1-49:4 - [c14]Michael Gardner, Vangelis Metsis, Eric Becker, Fillia Makedon:
Modeling the effect of attention deficit in game-based motor ability assessment of Cerebral Palsy patients. PETRA 2013: 65:1-65:8 - 2012
- [j2]Kevin Dela Rosa, Vangelis Metsis, Vassilis Athitsos:
Boosted ranking models: a unifying framework for ranking predictions. Knowl. Inf. Syst. 30(3): 543-568 (2012) - [c13]Christopher McMurrough, Vangelis Metsis, Jonathan Rich, Fillia Makedon:
An eye tracking dataset for point of gaze detection. ETRA 2012: 305-308 - [c12]Zhong Zhang, Weihua Liu, Vangelis Metsis, Vassilis Athitsos:
A viewpoint-independent statistical method for fall detection. ICPR 2012: 3626-3630 - [c11]Christopher McMurrough, Jonathan Rich, Vangelis Metsis, An Nguyen, Fillia Makedon:
Low-cost head position tracking for gaze point estimation. PETRA 2012: 22 - 2011
- [j1]Charalampos Doukas, Vangelis Metsis, Eric Becker, Zhengyi Le, Fillia Makedon, Ilias Maglogiannis:
Digital cities of the future: Extending @home assistive technologies for the elderly and the disabled. Telematics Informatics 28(3): 176-190 (2011) - [c10]Vangelis Metsis, Georgios Galatas, Alexandros Papangelis, Dimitrios I. Kosmopoulos, Fillia Makedon:
Recognition of sleep patterns using a bed pressure mat. PETRA 2011: 9 - 2010
- [c9]Alexandros Papangelis, Vangelis Metsis, John Shawe-Taylor, Fillia Makedon:
Sensor placement and coordination via distributed multi-agent cooperative control. PETRA 2010 - [c8]Kyungseo Park, Yong Lin, Vangelis Metsis, Zhengyi Le, Fillia Makedon:
Abnormal human behavioral pattern detection in assisted living environments. PETRA 2010
2000 – 2009
- 2009
- [c7]Ishfaq Ahmad, Roman Arora, Derek White, Vangelis Metsis, Rebecca Ingram:
Energy-Constrained Scheduling of DAGs on Multi-core Processors. IC3 2009: 592-603 - [c6]Vangelis Metsis, Heng Huang, Fillia Makedon, Aria Tzika:
Heterogeneous Data Fusion to Type Brain Tumor Biopsies. AIAI 2009: 233-240 - [c5]Roman Arora, Vangelis Metsis, Rong Zhang, Fillia Makedon:
Providing QoS in ontology centered context aware pervasive systems. PETRA 2009 - [c4]Eric Becker, Vangelis Metsis, Roman Arora, Jyothi K. Vinjumur, Yurong Xu, Fillia Makedon:
SmartDrawer: RFID-based smart medicine drawer for assistive environments. PETRA 2009 - 2008
- [c3]Vangelis Metsis, Zhengyi Le, Yu Lei, Fillia Makedon:
Towards an evaluation framework for assistive environments. PETRA 2008: 12 - 2007
- [c2]Konstantinos Stamatakis, Vangelis Metsis, Vangelis Karkaletsis, Marek Ruzicka, Vojtech Svátek, Enrique Amigó, Matti Pöllä, Constantine D. Spyropoulos:
Content Collection for the Labelling of Health-Related Web Content. AIME 2007: 341-345 - 2006
- [c1]Vangelis Metsis, Ion Androutsopoulos, Georgios Paliouras:
Spam Filtering with Naive Bayes - Which Naive Bayes? CEAS 2006
Coauthor Index
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