publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Biodiffusion: A versatile diffusion model for biomedical signal synthesis
    Xiaomin Li, Mykhailo Sakevych, Gentry Atkinson, and Vangelis Metsis
    Bioengineering, 2024
  2. Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
    Habib Irani and Vangelis Metsis
    In The International FLAIRS Conference Proceedings, 2024
  3. Many-to-Many Prediction for Effective Modeling of Frequent Label Transitions in Time Series
    Alexander Katrompas and Vangelis Metsis
    In Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024
  4. The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical Data
    Bikram De, Mykhailo Sakevych, and Vangelis Metsis
    In International Conference on Artificial Intelligence in Medicine, 2024

2023

  1. Temporal Attention Signatures for Interpretable Time-Series Prediction
    Alexander Katrompas and Vangelis Metsis
    In International Conference on Artificial Neural Networks, 2023
  2. Conditional Diffusion with Label Smoothing for Data Synthesis from Examples with Noisy Labels
    Gentry Atkinson, Xiaomin Li, and Vangelis Metsis
    In 2023 31st European Signal Processing Conference (EUSIPCO), 2023
  3. EMOD: Efficient Moving Object Detection via Image Eccentricity Analysis and Sparse Neural Networks
    Xiaomin Li, Ramin Nabati, Kunjan Singh, Enrique Corona, Vangelis Metsis, and Armin Parchami
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
  4. Detecting Intensity of Anxiety in Language of Student Veterans with Social Anxiety Using Text Analysis
    Morgan Byers, Mark Trahan, Erica Nason, Chinyere Eigege, Nicole Moore, Micki Washburn, and 1 more author
    Journal of Technology in Human Services, 2023
  5. Fusion of Learned Representations for Multimodal Sensor Data Classification
    Lee B Hinkle, Gentry Atkinson, and Vangelis Metsis
    In Artificial Intelligence Applications and Innovations: 19th IFIP WG 12.5 International Conference, AIAI 2023, Le’n, Spain, June 14–17, 2023, Proceedings, Part I, 2023
  6. An LLVM-Inspired Framework for Unified Processing of Multimodal Time-Series Data
    Lee B Hinkle and Vangelis Metsis
    In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
  7. ICASSPW
    Assisted Labeling Visualizer (ALVI): A Semi-Automatic Labeling System For Time-Series Data
    Lee B Hinkle, Tristan Pedro, Tyler Lynn, Gentry Atkinson, and Vangelis Metsis
    In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023
  8. Generating Realistic Multi-Class Biosignals with BioSGAN: A Transformer-Based Label-Guided Generative Adversarial Network
    Xiaomin Li, Anne Hee Hiong Ngu, and Vangelis Metsis
    In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), 2023

2022

  1. TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network
    Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, and Anne Hee Hiong Ngu
    In 20th International Conference on Artificial Intelligence in Medicine (AIME 2022), 2022
  2. Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models
    Morgan Byers, Lee B. Hinkle, and Vangelis Metsis
    In 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022), 2022
  3. SPP-EEGNET: An Input-Agnostic Self-supervised EEG Representation Model for Inter-dataset Transfer Learning
    Xiaomin Li and Vangelis Metsis
    In 18th International Conference on Computing and Information Technology (IC2IT 2022), 2022
  4. Personalized Watch-Based Fall Detection Using a Collaborative Edge-Cloud Framework
    Anne Hee Ngu, Vangelis Metsis, Shuan Coyne, Priyanka Srinivas, Tarek Salad, Uddin Mahmud, and 1 more author
    International journal of neural systems, 2022
  5. NAS
    Measuring Bias and Fairness in Multiclass Classification
    Cody Blakeney, Gentry Atkinson, Nathaniel Huish, Yan Yan, Vangelis Metsis, and Ziliang Zong
    In 2022 IEEE International Conference on Networking, Architecture and Storage (NAS), 2022
  6. IE
    Individual Convolution of Ankle, Hip, and Wrist Data for Activities-of-Daily-Living Classification
    Lee B Hinkle and Vangelis Metsis
    In 18th International Conference on Intelligent Environments (IE 2022), 2022
  7. Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study
    Alexander Katrompas, Theodoros Ntakouris, and Vangelis Metsis
    In 20th International Conference on Artificial Intelligence in Medicine (AIME 2022), 2022

2021

  1. TSAR: a time series assisted relabeling tool for reducing label noise
    Gentry Atkinson and Vangelis Metsis
    In 14th PErvasive Technologies Related to Assistive Environments Conference, 2021
  2. A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data
    Gentry Atkinson and Vangelis Metsis
    In IFIP International Conference on Artificial Intelligence Applications and Innovations, 2021
  3. Collaborative Edge-Cloud Computing for Personalized Fall Detection
    Anne H Ngu, Shaun Coyne, Priyanka Srinivas, and Vangelis Metsis
    In IFIP International Conference on Artificial Intelligence Applications and Innovations, 2021
  4. Model Evaluation Approaches for Human Activity Recognition from Time-Series Data
    Lee B Hinkle and Vangelis Metsis
    In International Conference on Artificial Intelligence in Medicine, 2021
  5. Rate My Professors: A Study Of Bias and Inaccuracies In Anonymous Self-Reporting
    Alexander Katrompas and Vangelis Metsis
    In 2021 2nd International Conference on Computing and Data Science (CDS), 2021
  6. Enhancing LSTM Models with Self-attention and Stateful Training
    Alexander Katrompas and Vangelis Metsis
    In Proceedings of SAI Intelligent Systems Conference, 2021
  7. Virtual reality exposure simulation for student veteran social anxiety and ptsd: A case study
    Mark H Trahan, Richard H Morley, Erica E Nason, Nathan Rodrigues, Laura Huerta, and Vangelis Metsis
    Clinical Social Work Journal, 2021

2020

  1. In Situ Wireless Channel Visualization Using Augmented Reality and Ray Tracing
    George Koutitas, Varun Kumar Siddaraju, and Vangelis Metsis
    Sensors, 2020
  2. Personalized Fall Detection System
    Anne H Ngu, Vangelis Metsis, Shaun Coyne, Brian Chung, Rachel Pai, and Joshua Chang
    In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020
  3. Identifying label noise in time-series datasets
    Gentry Atkinson and Vangelis Metsis
    In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 2020
  4. Ensemble Deep Learning on Wearables Using Small Datasets
    Taylor Mauldin, Anne H Ngu, Vangelis Metsis, and Marc E Canby
    ACM Transactions on Computing for Healthcare, 2020

2019

  1. Experiences of student veterans with social anxiety and avoidance: A qualitative study
    Mark H Trahan, Angela R Ausbrooks, Kenneth S Smith, Vangelis Metsis, Abigail Berek, Lisa H Trahan, and 1 more author
    Social Work in Mental Health, 2019
  2. 360 Video: A prototyping process for developing virtual reality interventions
    Vangelis Metsis, Grayson Lawrence, Mark Trahan, Kenneth S Smith, Dan Tamir, and Katherine Selber
    Journal of Technology in Human Services, 2019
  3. A virtual and augmented reality platform for the training of first responders of the ambulance bus
    George Koutitas, Kenneth Scott Smith, Grayson Lawrence, Vangelis Metsis, Clayton Stamper, Mark Trahan, and 1 more author
    In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019
  4. Physiological Measurement for Emotion Recognition in Virtual Reality
    Lee Hinkle, Kamrad Khoshhal, and Vangelis Metsis
    In 2019 2nd International Conference on Data Intelligence and Security (ICDIS), 2019
  5. Experimentation and analysis of ensemble deep learning in iot applications
    Taylor Mauldin, Anne H Ngu, Vangelis Metsis, Marc E Canby, and Jelena Tesic
    Open Journal of Internet Of Things (OJIOT), 2019
  6. Virtual treatment for veteran social anxiety disorder: A comparison of 360 video and 3D virtual reality
    Erica E Nason, Mark Trahan, Scott Smith, Vangelis Metsis, and Katherine Selber
    Journal of Technology in Human Services, 2019
  7. Virtual Reality Environments for Returning Combat Veteran Social Anxiety and PTSD: Rapid Prototyping Methodologies for Intervention
    Vangelis Metsis, Grayson Lawrence, Mark Trahan, Scott Smith, and Dan Tamir
    2019

2018

  1. Correlation analysis-based classification of human activity time series
    Akshay Malhotra, Ioannis D Schizas, and Vangelis Metsis
    IEEE Sensors Journal, 2018
  2. SmartFall: A smartwatch-based fall detection system using deep learning
    Taylor R Mauldin, Marc E Canby, Vangelis Metsis, Anne HH Ngu, and Coralys Cubero Rivera
    Sensors, 2018

2017

  1. A Multilevel Body Motion-Based Human Activity Analysis Methodology
    Kamrad Khoshhal Roudposhti, Jorge Dias, Paulo Peixoto, Vangelis Metsis, and Urbano Nunes
    IEEE Transactions on Cognitive and Developmental Systems, 2017
  2. Classification of emotional arousal during multimedia exposure
    Adam Anderson, Thomas Hsiao, and Vangelis Metsis
    In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017
  3. Integration of virtual reality with an omnidirectional treadmill system for multi-directional balance skills intervention
    Vangelis Metsis, Kenneth S Smith, and Denise Gobert
    In 2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob), 2017

2016

  1. IoT middleware: A survey on issues and enabling technologies
    Anne H Ngu, Mario Gutierrez, Vangelis Metsis, Surya Nepal, and Quan Z Sheng
    IEEE Internet of Things Journal, 2016

2015

  1. Development and evaluation of a unity-based, Kinect-controlled avatar for physical rehabilitation
    Dylan Ebert, Vangelis Metsis, and Fillia Makedon
    In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
  2. Monitoring breathing activity and sleep patterns using multimodal non-invasive technologies
    Michalis Papakostas, James Staud, Fillia Makedon, and Vangelis Metsis
    In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
  3. Self-managed patient-game interaction using the barrett WAM arm for motion analysis
    Alexandros Lioulemes, Paul Sassaman, Shawn N Gieser, Vangelis Karkaletsis, Fillia Makedon, and Vangelis Metsis
    In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
  4. Real-time subspace denoising of polysomnographic data
    Vangelis Metsis, Ioannis D Schizas, and Gregg Marshall
    In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
  5. Automated detection of sleep disorder-related events from polysomnographic data
    Hugo Espiritu and Vangelis Metsis
    In 2015 International Conference on Healthcare Informatics (ICHI), 2015

2014

  1. Non-invasive analysis of sleep patterns via multimodal sensor input
    Vangelis Metsis, Dimitrios Kosmopoulos, Vassilis Athitsos, and Fillia Makedon
    Personal and Ubiquitous Computing, 2014
  2. Guided physical therapy through the use of the barrett wam robotic arm
    Scott Phan, Alexandros Lioulemes, Cyril Lutterodt, Fillia Makedon, and Vangelis Metsis
    In 2014 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE) Proceedings, 2014
  3. Quantitative evaluation of the Kinect skeleton tracker for physical rehabilitation exercises
    Shawn N Gieser, Vangelis Metsis, and Fillia Makedon
    In Proceedings of the 7th international conference on PErvasive technologies related to assistive environments, 2014
  4. Safety challenges in using AR. Drone to collaborate with humans in indoor environments
    Alexandros Lioulemes, Georgios Galatas, Vangelis Metsis, Gian Luca Mariottini, and Fillia Makedon
    In Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014
  5. A supervised learning approach for fast object recognition from RGB-D data
    David Paulk, Vangelis Metsis, Christopher McMurrough, and Fillia Makedon
    In Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014

2013

  1. Aria: Getting started quickly
    Kapil Bhargav Vyas, Vangelis Metsis, and Fillia Makedon
    2013
  2. A dataset for point of gaze detection using head poses and eye images
    Christopher D McMurrough, Vangelis Metsis, Dimitrios Kosmopoulos, Ilias Maglogiannis, and Fillia Makedon
    Journal on Multimodal User Interfaces, 2013
  3. Computer aided rehabilitation for patients with rheumatoid arthritis
    Vangelis Metsis, Pat Jangyodsuk, Vassilis Athitsos, Maura Iversen, and Fillia Makedon
    In 2013 international conference on computing, networking and communications (ICNC), 2013
  4. ICIMTH
    A web ontology for brain trauma patient computer-assisted rehabilitation
    Dimitrios Zikos, Georgios Galatas, Vangelis Metsis, and Fillia Makedon
    In Proceedings of the International Conference on Information and Medical Technology in Health (ICIMTH), 2013
  5. An adaptive dialogue system for assessing post traumatic stress disorder
    Alexandros Papangelis, Robert Gatchel, Vangelis Metsis, and Fillia Makedon
    In Proceedings of the 6th International Conference on Pervasive Technologies Related to Assistive Environments, 2013
  6. Modeling the effect of attention deficit in game-based motor ability assessment of Cerebral Palsy patients
    Michael Gardner, Vangelis Metsis, Eric Becker, and Fillia Makedon
    In Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013
  7. DNA copy number selection using robust structured sparsity-inducing norms
    Vangelis Metsis, Fillia Makedon, Dinggang Shen, and Heng Huang
    IEEE/ACM transactions on computational biology and bioinformatics, 2013

2012

  1. Boosted ranking models: a unifying framework for ranking predictions
    Kevin Dela Rosa, Vangelis Metsis, and Vassilis Athitsos
    Knowledge and information systems, 2012
  2. An eye tracking dataset for point of gaze detection
    Christopher D McMurrough, Vangelis Metsis, Jonathan Rich, and Fillia Makedon
    In Proceedings of the Symposium on Eye Tracking Research and Applications, 2012
  3. A viewpoint-independent statistical method for fall detection
    Zhong Zhang, Weihua Liu, Vangelis Metsis, and Vassilis Athitsos
    In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012
  4. Heterogeneous data fusion for brain tumor classification
    Vangelis Metsis, Heng Huang, Ovidiu C Andronesi, Fillia Makedon, and Aria Tzika
    Oncology reports, 2012
  5. Low-cost head position tracking for gaze point estimation
    Christopher McMurrough, Jonathan Rich, Vangelis Metsis, An Nguyen, and Fillia Makedon
    In Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

2011

  1. Digital cities of the future: Extending@ home assistive technologies for the elderly and the disabled
    Charalampos Doukas, Vangelis Metsis, Eric Becker, Zhengyi Le, Fillia Makedon, and Ilias Maglogiannis
    Telematics and Informatics, 2011
  2. Recognition of sleep patterns using a bed pressure mat
    Vangelis Metsis, Georgios Galatas, Alexandros Papangelis, Dimitrios Kosmopoulos, and Fillia Makedon
    In Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments, 2011
  3. Combination of sparse and wrapper feature selection from multi-source data for accurate brain tumor typing
    V Metsis, OC Andronesi, H Huang, MN Mindrinos, LG Rahme, F Makedon, and 1 more author
    In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 19th Annual Meeting Exhibition, 2011

2010

  1. Abnormal human behavioral pattern detection in assisted living environments
    Kyungseo Park, Yong Lin, Vangelis Metsis, Zhengyi Le, and Fillia Makedon
    In Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, 2010
  2. Sensor placement and coordination via distributed multi-agent cooperative control
    Alexandros Papangelis, Vangelis Metsis, John Shawe-Taylor, and Fillia Makedon
    In Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, 2010

2009

  1. SmartDrawer: RFID-based smart medicine drawer for assistive environments
    Eric Becker, Vangelis Metsis, Roman Arora, Jyothi Vinjumur, Yurong Xu, and Fillia Makedon
    In Proceedings of the 2nd international Conference on Pervasive Technologies Related to Assistive environments, 2009
  2. Providing QoS in ontology centered context aware pervasive systems
    Roman Arora, Vangelis Metsis, Rong Zhang, and Fillia Makedon
    In Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments, 2009
  3. IC3
    Energy-constrained scheduling of dags on multi-core processors
    Ishfaq Ahmad, Roman Arora, Derek White, Vangelis Metsis, and Rebecca Ingram
    In International Conference on Contemporary Computing, 2009
  4. Heterogeneous data fusion to type brain tumor biopsies
    Vangelis Metsis, Heng Huang, Fillia Makedon, and Aria Tzika
    In IFIP International Conference on Artificial Intelligence Applications and Innovations, 2009
  5. Multi-Source feature selection to improve multi-class brain tumor typing
    V Metsis, D Mintzopoulos, H Huang, MN Mindrinos, PM Black, F Makedon, and 1 more author
    In Proc. Intl. Soc. Mag. Reson. Med. 17, 2009

2008

  1. Towards an evaluation framework for assistive environments
    Vangelis Metsis, Zhengyi Le, Yu Lei, and Fillia Makedon
    In Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments, 2008

2007

  1. Content collection for the labelling of health-related web content
    Konstantinos Stamatakis, Vangelis Metsis, Vangelis Karkaletsis, Marek Ruzicka, Vojtech Svátek, Enrique Amigó, and 2 more authors
    In Conference on Artificial Intelligence in Medicine in Europe, 2007
  2. ICICTH
    Assisting Quality Assessment (AQUA)–a system based on semantic web and information extraction technologies to support medical quality labelling agencies
    D Villarroel, MA Mayer, A Leis, V Karkaletsis, K Stamatakis, V Metsis, and 5 more authors
    In Fifth International Conference on Information and Communication Technologies in Health, 2007

2006

  1. Spam filtering with naive bayes-which naive bayes?
    Vangelis Metsis, Ion Androutsopoulos, and Georgios Paliouras
    In Third Conference on Email and Anti-Spam (CEAS), 2006
  2. ICICTH
    Health-related Web Content: quality labelling mechanisms and the MedIEQ approach
    Vangelis Karkaletsis, Kostas Stamatakis, Vangelis Metsis, Vassiliki Redoumi, and Dimitris Tsarouhas
    In Proc 4th International conference on Information Communication Technologies in Health (ICICTH 2006, 2006