publications

journal and conference publications in reverse chronological order. generated by jekyll-scholar.

2026

  1. J
    Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation
    Jorgen Cani, Christos Diou, Spyridon Evangelatos, Vasileios Argyriou, Panagiotis Radoglou-Grammatikis, and 3 more authors
    IEEE Access, 2026
  2. J
    Monitoring cancer-related fatigue and quality of life in breast and prostate cancer patients after primary treatment: a study protocol for the REBECCA trials in Norway
    Marius Stensland, Karina F Bru, Marie Austdal, Ingrid H Dahl, Kristin Jonsdottir, and 6 more authors
    Clinical and Experimental Medicine, 2026
  3. C
    Fast and Robust Simulation-Based Inference With Optimization Monte Carlo
    Vasilis Gkolemis, Christos Diou, and Michael Gutmann
    Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics (AISTATS 2026, to appear), 2026
  4. C
    Learning Robust Intervention Representations with Delta Embeddings
    Panagiotis Alimisis, and Christos Diou
    International Conference on Learning Representations (ICLR 2026, to appear), 2026

2025

  1. J
    Detecting application transitions and identifying application types for intent-based network assurance: A machine learning perspective
    John Violos, Fotios Voutsas, Christos Diou, and Aris Leivadeas
    Computer Networks, 2025
  2. J
    Digital and AI-assisted multimodal supportive care, combining physical activity, nutrition, and pain management during chemotherapy for advanced pancreatic cancer patients: study protocol of the European multicenter randomized controlled trial of the RELEVIUM project
    Barlo Hillen, Gabrielle Oestreicher, Lisa Schwab, Kira Enders, Perikles Simon, and 6 more authors
    BMC cancer, 2025
  3. J
    A system for objectively measuring behavior and the environment to support large-scale studies on childhood obesity
    Vasileios Papapanagiotou, Ioannis Sarafis, Leonidas Alagialoglou, Vasileios Gkolemis, Christos Diou, and 1 more author
    IEEE Journal of Biomedical and Health Informatics, 2025
  4. J
    Feature Bagging with Nested Rotations (FBNR) for anomaly detection in multivariate time series
    Anastasios Iliopoulos, John Violos, Christos Diou, and Iraklis Varlamis
    Future Generation Computer Systems, 2025
  5. C
    MAVias: Mitigate any visual bias
    Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
  6. C
    Vb-mitigator: An open-source framework for evaluating and advancing visual bias mitigation
    Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou
    ECAI Workshops (AEQUITAS), 2025
  7. C
    Badd: Bias mitigation through bias addition
    Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
  8. C
    X-ray illicit object detection using hybrid CNN-transformer neural network architectures
    Jorgen Cani, Christos Diou, Spyridon Evangelatos, Panagiotis Radoglou-Grammatikis, Vasileios Argyriou, and 3 more authors
    In 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 2025
  9. C
    Gradient-guided annealing for domain generalization
    Aristotelis Ballas, and Christos Diou
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025

2024

  1. Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
    Aristotelis Ballas, Vasileios Papapanagiotou, and Christos Diou
    IEEE Access, 2024
  2. J
    FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
    Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
  3. J
    A Causal Inference Methodology to Support Research on Osteopenia for Breast Cancer Patients
    Niki Kiriakidou, Aristotelis Ballas, Cristina Meliá Hernando, Anna Miralles, Teta Stamati, and 2 more authors
    Applied Sciences, 2024
  4. J
    Edge-driven Docker registry: facilitating XR application deployment
    Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Ioannis Kontopoulos, and 3 more authors
    Computing, 2024
  5. J
    Dietary and Physical Activity Habits of Children and Adolescents before and after the Implementation of a Personalized, Intervention Program for the Management of Obesity
    Georgia Ioannou, Ioulia Petrou, Maria Manou, Athanasia Tragomalou, Eleni Ramouzi, and 7 more authors
    Nutrients, 2024
  6. J
    A rehearsal framework for computational efficiency in online continual learning
    Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, and Konstantinos Tserpes
    Applied Intelligence, 2024
  7. J
    FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
    Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, and 42 more authors
    Information Fusion, 2024
  8. J
    Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
    Aristotelis Ballas, and Christos Diou
    IEEE Transactions on Artificial Intelligence, 2024
  9. J
    Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks
    Aristotelis Ballas, and Christos Diou
    IEEE Transactions on Emerging Topics in Computational Intelligence, 2024
  10. C
    Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis
    Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, and Christos Diou
    Proceedings of the VLDB Endowment. ISSN, 2024
  11. C
    CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data
    Aristotelis Ballas, and Christos Diou
    In Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
  12. C
    C-XGBoost: A tree boosting model for causal effect estimation
    Niki Kiriakidou, Ioannis E Livieris, and Christos Diou
    In IFIP International Conference on Artificial Intelligence Applications and Innovations, 2024
  13. C
    FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
    Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou
    In Proceedings of the 2024 International Conference on Multimedia Retrieval, Phuket, Thailand, 2024
  14. C
    FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
    Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, and 6 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
  15. C
    Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot
    George Kazazis, Christos Chronis, Christos Diou, and Iraklis Varlamis
    In Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics, 2024

2023

  1. J
    Ultra-Processed Food vs. Fruit and Vegetable Consumption before and during the COVID-19 Pandemic among Greek and Swedish Students
    Friska Dhammawati, Petter Fagerberg, Christos Diou, Ioanna Mavrouli, Evangelia Koukoula, and 6 more authors
    Nutrients, 2023
  2. J
    Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation
    Niki Kiriakidou, and Christos Diou
    International Journal of Neural Systems, 2023
  3. J
    StreetScouting: A Deep Learning Platform for Automatic Detection and Geotagging of Urban Features from Street-Level Images
    Polychronis Charitidis, Sotirios Moschos, Archontis Pipertzis, Ioakeim James Theologou, Michael Michailidis, and 3 more authors
    Applied Sciences, 2023
  4. C
    Streamlining XR Application Deployment with a Localized Docker Registry at the Edge
    Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Antonis Protopsaltis, and 5 more authors
    In Service-Oriented and Cloud Computing, 2023
  5. C
    RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects
    Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, and Christos Diou
    In European Conference on Artificial Intelligence (ECAI 2023), 2023
  6. C
    Sampling strategies for mitigating bias in face synthesis methods
    Manolis Maragkoudakis, Iraklis Varlamis, Symeon Papadopoulos, and Christos Diou
    In ECML-PKDD 2023 Workshop on Bias and Fairness in AI (BIAS 2023), 2023
  7. C
    Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
    Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, and Christos Diou
    In ECML-PKDD 2023 Workshop on Bias and Fairness in AI (BIAS 2023), 2023
  8. C
    Regionally Additive Models: Explainable-by-design models minimizing feature interactions
    Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, and Christos Diou
    In ECML-PKDD 2023 Workshop "Uncertainty meets Explainability in Machine Learning", 2023
  9. C
    CNN Feature Map Augmentation for Single-Source Domain Generalization
    Aristotelis Ballas, and Christos Diou
    In 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), 2023
  10. C
    Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques
    Anastasios Iliopoulos, John Violos, Christos Diou, and Iraklis Varlamis
    In 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), 2023
  11. C
    CNNs with Multi-Level Attention for Domain Generalization
    Aristotelis Ballas, and Christos Diou
    In Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
  12. C
    A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving
    Charis Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, and Konstantinos Tserpes
    In Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI), co-located with the IEEE World Congress on Computational Intelligence (WCCI), 2023

2022

  1. J
    Towards Systems Models for Obesity Prevention: A Big Role for Big Data
    Adele R Tufford, Christos Diou, Desiree A Luccassen, Ioannis Ioakimidis, Grace O’Malley, and 17 more authors
    Current Developments in Nutrition, Jul 2022
    nzac123
  2. J
    Intake monitoring in free-living conditions: Overview and lessons we have learned
    Christos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou, and Ioannis Sarafis
    Appetite, Jul 2022
  3. C
    DALE: Differential Accumulated Local Effects for efficient and accurate global explanations
    Vasilis Gkolemis, Theodore Dalamagas, and Christos Diou
    In 14th Asian Conference on Machine Learning (ACML 2022), Hyderabad, India, Jul 2022
  4. C
    Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds for the Physionet 2022 challenge
    Aristotelis Ballas, Vasileios Papapanagiotou, Anastasios Delopoulos, and Christos Diou
    In Computing in Cardiology, Tampere, Finland, Jul 2022
  5. C
    Multi-layer Representation Learning for Robust OOD Image Classification
    Aristotelis Ballas, and Christos Diou
    In 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, Jul 2022
  6. C
    An evaluation framework for comparing causal inference models
    Niki Kiriakidou, and Christos Diou
    In 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, Jul 2022
  7. C
    A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks
    Aristotelis Ballas, and Christos Diou
    In 2022 IEEE Eight International Conference on Big Data Computing Service and Applications (BigDataService), Jul 2022
  8. C
    An Improved Neural Network Model for Treatment Effect Estimation (best paper award)
    Niki Kiriakidou, and Christos Diou
    In Artificial Intelligence Applications and Innovations, Jul 2022
  9. C
    Partially Oblivious Neural Network Inference
    Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia, Ilias Kyrannas, and Konstantinos Tserpes
    In Proceedings of the 19th International Conference on Security and Cryptography, SECRYPT 2022, Lisbon, Portugal, July 11-13, 2022, Jul 2022
  10. C
    Computationally Efficient Rehearsal for Online Continual Learning
    Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, and Konstantinos Tserpes
    In Image Analysis and Processing – ICIAP 2022, Jul 2022
  11. Artificial intelligence and machine learning for objective intake monitoring
    Christos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou, Ioannis Sarafis, and Anastasios Delopoulos
    Public Health and Toxicology, Jul 2022

2021

  1. J
    Exploring Associations Between Children’s Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard
    Dimitris Filos, Irini Lekka, Vasileios Kilintzis, Leandros Stefanopoulos, Youla Karavidopoulou, and 14 more authors
    JMIR Mhealth Uhealth, Jul 2021
  2. J
    Demand Response Alert Service Based on Appliance Modeling
    Ioanna-M. Chatzigeorgiou, Christos Diou, Kyriakos C. Chatzidimitriou, and Georgios T. Andreou
    Energies, Jul 2021
  3. J
    Fast Eating Is Associated with Increased BMI among High-School Students
    Petter Fagerberg, Evangelia Charmandari, Christos Diou, Rachel Heimeier, Youla Karavidopoulou, and 11 more authors
    Nutrients, Jul 2021
  4. C
    Recognition of Food-Texture Attributes Using an In-Ear Microphone
    Vasileios Papapanagiotou, Christos Diou, Janet Boer, Monica Mars, and Anastasios Delopoulos
    In Pattern Recognition. ICPR International Workshops and Challenges, Jul 2021
  5. C
    Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone
    Vasileios Papapanagiotou, Christos Diou, and Anastasios Delopoulos
    In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul 2021
  6. Evaluation of the BigO behavioral indicators in overweight and obese children and adolescents
    Penio Kassari, Athanasia Tragomalou, Aikaterini Vourdoumpa, Diamanto Koutaki, Marina Papadopoulou, and 6 more authors
    Hormone Research in Paediatrics (ESPE Abstracts), Jul 2021
  7. Evaluation of the BigO system during the COVID-19 outbreak in Greece
    Penio Kassari, Athanasia Tragomalou, Aikaterini Vourdoumpa, Diamanto Koutaki, Marina Papadopoulou, and 6 more authors
    Hormone Research in Paediatrics (ESPE Abstracts), Jul 2021
  8. Evaluation of the BigO system in a clinical setting in Greece
    Penio Kassari, Athanasia Tragomalou, Aikaterini Vourdoumpa, Diamanto Koutaki, Marina Papadopoulou, and 6 more authors
    Hormone Research in Paediatrics (ESPE Abstracts), Jul 2021

2020

  1. J
    Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study
    Billy Langlet, Christos Maramis, Christos Diou, Nikolaos Maglaveras, Petter Fagerberg, and 4 more authors
    JMIR Mhealth Uhealth, Jul 2020
  2. J
    Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece
    Athanasia Tragomalou, George Moschonis, Yannis Manios, Penio Kassari, Ioannis Ioakimidis, and 5 more authors
    Nutrients, Jul 2020
  3. J
    A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches
    Konstantinos Kyritsis, Christos Diou, and Anastasios Delopoulos
    IEEE Journal of Biomedical and Health Informatics, Jul 2020
  4. C
    Combining PENCIL with AMDIM for Image Classification with Noisy and Sparsely Labeled Data
    Alexandros Petropoulos, and Christos Diou
    In 11th Hellenic Conference on Artificial Intelligence, Athens, Greece, Jul 2020
  5. C
    eeRIS-NILM: An Open Source, Unsupervised Baseline for Real-Time Feedback Through NILM
    Christos Diou, and Georgios Andreou
    In 2020 55th International Universities Power Engineering Conference (UPEC), Jul 2020
  6. C
    Targeted Messaging for Appliance-based Demand Response
    Ioanna-M. Chatzigeorgiou, Christos Diou, and Georgios T. Andreou
    In 2020 55th International Universities Power Engineering Conference (UPEC), Jul 2020
  7. C
    Achieving engagement of residential electrical energy consumers through real-time feedback: The eeRIS vision
    Ioanna-Mirto Chatzigeorgiou, Christos Diou, Anastasia Stefanidi, and Georgios T. Andreou
    In 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / ICPS Europe), Jul 2020
  8. C
    BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
    Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou, Leonidas Alagialoglou, Irini Lekka, and 6 more authors
    In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2020
  9. C
    Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment
    Ioannis Sarafis, Christos Diou, Vasileios Papapanagiotou, Leonidas Alagialoglou, and Anastasios Delopoulos
    In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2020
  10. C
    Collecting big behavioral data for measuring behavior against obesity
    Vasileios Papapanagiotou, Ioannis Sarafis, Christos Diou, Ioannis Ioakimidis, Evangelia Charmandari, and 1 more author
    In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2020
  11. C
    Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations
    Christos Maramis, Ioannis Ioakimidis, Vassilis Kilintzis, Leandros Stefanopoulos, Eirini Lekka, and 6 more authors
    In Wireless Mobile Communication and Healthcare, Jul 2020

2019

  1. J
    Predicting real-life eating behaviours using single school lunches in adolescents
    Billy Langlet, Petter Fagerberg, Anastasios Delopoulos, Vasileios Papapanagiotou, Christos Diou, and 4 more authors
    Nutrients, Jul 2019
  2. J
    Modeling Wrist Micromovements to Measure In-Meal Eating Behavior from Inertial Sensor Data
    Konstantinos Kyritsis, Christos Diou, and Anastasios Delopoulos
    IEEE Journal of Biomedical and Health Informatics, Jul 2019
  3. C
    Behaviour Profiles for Evidence-based Policies Against Obesity
    Ioannis Sarafis, Christos Diou, and Anastasios Delopoulos
    In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2019
  4. C
    Assessment of In-Meal Eating Behaviour Using Fuzzy SVM
    Ioannis Sarafis, Christos Diou, Ioannis Ioakimidis, and Anastasios Delopoulos
    In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2019
  5. C
    Detecting Meals in the Wild Using the Inertial Data of a Typical Smartwatch
    Konstantions Kyritsis, Christos Diou, and Anastasios Delopoulos
    In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2019
  6. BigO: The use of New Technologies for the Management of Childhood Obesity – A Clinical Pilot Study
    Athanasia Tragomalou, Penio Kassari, Ioannis Ioakeimidis, Konstantinos Filis, Eleni Theodoropoulou, and 6 more authors
    In 58th Annual ESPE, Jul 2019

2018

  1. J
    Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning
    Christos Diou, Pantelis Lelekas, and Anastasios Delopoulos
    Journal of Imaging, Jul 2018
  2. J
    The SPLENDID Eating Detection Sensor: Development and Feasibility Study
    Janet Boer, Annemiek Lee, Lingchuan Zhou, Vasileios Papapanagiotou, Christos Diou, and 2 more authors
    JMIR mHealth and uHealth, Jul 2018
  3. J
    Of daemons and men: Reducing false positive rate in Intrusion Detection Systems with fileesystem footprint analysis
    Georgios Mamalakis, Christos Diou, Andreas Symeonidis, and Leonidas Georgiadis
    Neural Computing and Applications, Jul 2018
  4. J
    Control of Eating Behavior Using a Novel Feedback System
    Mayram Esfandiari, Vasileios Papapanagiotou, Christos Diou, Modjtaba Zandian, Jenny Nolstam, and 2 more authors
    J. Vis. Exp. , Jul 2018
  5. J
    Automatic analysis of food intake and meal microstructure based on continuous weight measurements
    Vasileios Papapanagiotou, Christos Diou, Ioannis Ioakimidis, Per Sodersten, and Anastasios Delopoulos
    IEEE Journal of Biomedical and Health Informatics, Jul 2018
  6. C
    End-to-end Learning for Measuring in-meal Eating Behavior from a Smartwatch
    Konstantinos Kyritsis, Christos Diou, and Anastasios Delopoulos
    In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2018
  7. Span error bound for weighted SVM with applications in hyperparameter selection
    Ioannis Sarafis, Christos Diou, and Anastasios Delopoulos
    Jul 2018
  8. BigO: Big Data Against Childhood Obesity
    Christos Diou, Ioannis Ioakeimidis, Evangelia Charmandari, Penio Kassari, Irini Lekka, and 6 more authors
    In 57th Annual ESPE, Jul 2018

2017

  1. A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry
    Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet Boer, Monica Mars, and 1 more author
    IEEE Journal of Biomedical and Health Informatics, Jul 2017
  2. J
    Objective measures of eating behaviour in a Swedish high school
    Billy Langlet, Anna Anvret, Christos Maramis, Ioannis Moulos, Vasileios Papapanagiotou, and 5 more authors
    Behaviour & Information Technology, Jul 2017
  3. C
    Food Intake Detection from Inertial Sensors Using LSTM Networks
    Konstantinos Kyritsis, Christos Diou, and Anastasios Delopoulos
    In New Trends in Image Analysis and Processing–ICIAP 2017 Workshops, Jul 2017
  4. C
    Learning local feature aggregation functions with backpropagation
    Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, and Anastasios Delopoulos
    In 2017 25th European Signal Processing Conference (EUSIPCO), Jul 2017
  5. C
    The SPLENDID chewing detection challenge
    Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet Boer, Monica Mars, and 1 more author
    In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2017
  6. C
    Automated analysis of in meal eating behavior using a commercial wristband IMU sensor
    Konstantinos Kyritsis, Christina-Lefkothea Tatli, Christos Diou, and Anastasios Delopoulos
    In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2017
  7. C
    Chewing detection from an in-ear microphone using convolutional neural networks
    Vasileios Papapanagiotou, Christos Diou, and Anastasios Delopoulos
    In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2017
  8. C
    Data-driven assessments for sensor measurements of eating behavior
    Christos Diou, Ioannis Sarafis, Ioannis Ioakimidis, and Anastasios Delopoulos
    In Proceedings of the 2017 International Conference on Biomedical and Health Informatics, (BHI2017), Jul 2017

2016

  1. J
    Online training of concept detectors for image retrieval using streaming clickthrough data
    Ioannis Sarafis, Christos Diou, and Anastasios Delopoulos
    Engineering Applications of Artificial Intelligence (EAAI), Jul 2016
  2. Response modeling of small-scale energy consumers for effective demand response applications
    Antonios Chrysopoulos, Christos Diou, Andreas L Symeonidis, and Pericles A Mitkas
    Electric Power Systems Research, Jul 2016
  3. C
    Fast Supervised LDA for discovering micro-events in large-scale video datasets
    Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, and Anastasios Delopoulos
    In In proceedings of the 24th ACM international conference on multimedia (ACM-MM 2016), Jul 2016
  4. C
    A novel approach for chewing detection based on a wearable PPG sensor
    Vasileios Papapanagiotou, Christos Diou, and Anastasios Delopoulos
    In In Proceedings of the 38th annual international conference of the IEEE Engineering in Medicine and Biology Society, Jul 2016
  5. A PROBABILISTIC CONTEXT FREE GRAMMAR FOR FOOD INTAKE
    Cecilia Bergh, Per Södersten, Ioannis Ioakeimidis, Vasileios Papapanagiotou, Christos Diou, and 1 more author
    Jul 2016
    WIPO URL: \urlhttps://patentscope.wipo.int/search/en/detail.jsf?docId=WO2016167701
  6. SPLENDID: A new mobile tool for weight management
    Janet Boer, Annemiek Lee, Christos Maramis, Christos Diou, Ioannis Ioakeimidis, and 6 more authors
    Appetite, Jul 2016
    (abstract)
  7. SPLENDID: PREVENTING OBESITY AND EATING DISORDERS THROUGH BEHAVIOURAL MONITORING AND NORMALIZATION
    I Lekka, C Maramis, C Diou, I Ioakeimidis, Z Lingchuan, and 5 more authors
    In ACTA PAEDIATRICA, Jul 2016
    (abstract)

2015

  1. J
    Improving Concept-Based Image Retrieval with Training Weights Computed from Tags
    Vasileios Papapanagiotou, Christos Diou, and Anastasios Delopoulos
    ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Jul 2015
  2. J
    Building effective SVM concept detectors from clickthrough data for large-scale image retrieval
    Ioannis Sarafis, Christos Diou, and Anastasios Delopoulos
    International Journal of Multimedia Information Retrieval, Jul 2015
  3. C
    Fractal Nature of Chewing Sounds
    Vasileios Papapanagiotou, Christos Diou, Zhou Lingchuan, Janet Boer, Monica Mars, and 1 more author
    In New Trends in Image Analysis and Processing–ICIAP 2015 Workshops, Jul 2015
  4. C
    A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurements
    Vasileios Papapanagiotou, Christos Diou, Billy Langlet, Ioannis Ioakimidis, and Anastasios Delopoulos
    In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, Jul 2015
  5. C
    Analysing Behaviours for Intrusion Detection
    George Mamalakis, Christos Diou, and Andreas L Symeonidis
    In Communication Workshop (ICCW), 2015 IEEE International Conference on, Jul 2015
  6. C
    Automated Extraction of Food Intake Indicators from Continuous Meal Weight Measurements
    Vasileios Papapanagiotou, Christos Diou, Billy Langlet, Ioannis Ioakimidis, and Anastasios Delopoulos
    In Bioinformatics and Biomedical Engineering, Jul 2015

2014

  1. J
    Of daemons and men: A file system approach towards intrusion detection
    Georgios Mamalakis, Christos Diou, Andreas L. Symeonidis, and Leonidas Georgiadis
    Applied Soft Computing, Jul 2014
  2. J
    Bottom-up modeling of small-scale energy consumers for effective Demand Response Applications
    Antonios Chrysopoulos, Christos Diou, Andreas L. Symeonidis, and Pericles A. Mitkas
    EAAI ’14, Jul 2014
  3. C
    SPLENDID: Preventing Obesity and Eating Disorders through Long-term Behavioural Modifications
    Christos Maramis, Christos Diou, Ioannis Ioakeimidis, Irini Lekka, Gabriela Dudnik, and 4 more authors
    In MOBIHEALTH 2014, Jul 2014
  4. C
    Building robust concept detectors from clickthrough data: A study in the MSR-Bing dataset
    Ioannis Sarafis, Christos Diou, and Anastasios Delopoulos
    In 9th International Conference on Semantic Media Adaptation and Personalisation (SMAP2014), Jul 2014
  5. C
    Weighted SVM from Clickthrough Data for Image Retrieval
    Ioannis Sarafis, Christos Diou, Theodora Tsikrika, and Anastasios Delopoulos
    In IEEE International Conference on Image Processing (ICIP 2014), Jul 2014
  6. C
    Multi-evidence User Group Discovery in Professional Image Search
    Theodora Tsikrika, and Christos Diou
    In 36th European Conference on Information Retrieval (ECIR 2014), Jul 2014

2013

  1. J
    Applying semantic technologies in cervical cancer research
    Christos Maramis, Manolis Falelakis, Irini Lekka, Christos Diou, Pericles A. Mitkas, and 1 more author
    Data Knowl. Eng., Jul 2013
  2. C
    Agent-based small-scale energy consumer models for energy portfolio management (best student paper award)
    Antonios Chrysopoulos, Christos Diou, Andreas Symeonidis, and Pericles Mitkas
    In Proceedings of the 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2013), Jul 2013

2012

  1. C
    A framework for the implementation of large scale Demand Response
    Georgios T. Andreou, Andreas L. Symeonidis, Christos Diou, Pericles A. Mitkas, and Dimitrios P. Labridis
    In Smart Grid Technology, Economics and Policies (SG-TEP), 2012 International Conference on, Jul 2012

2011

  1. J
    Reliability and effectiveness of clickthrough data for automatic image annotation
    Theodora Tsikrika, Christos Diou, Arjen P. Vries, and Anastasios Delopoulos
    Multimedia Tools and Applications, Jul 2011

2010

  1. Semantic Analysis of Multimedia Data with Machine Learning (in Greek)
    Christos Diou
    Nov 2010
  2. J
    Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion
    Christos Diou, George Stephanopoulos, Panagiotis Panagiotopoulos, Christos Papachristou, Nikos Dimitriou, and 1 more author
    IEEE Transactions on Circuits and Systems for Video Technology, Nov 2010
  3. C
    The Multimedia Understanding Group at TRECVID-2010
    Christos Diou, George Stephanopoulos, and Anastasios Delopoulos
    In Proceedings of the TRECVID 2010 Workshop, Nov 2010

2009

  1. C
    VITALAS at TRECVID-2009
    Christos Diou, George Stephanopoulos, Nikos Dimitriou, Panos Panagiotopoulos, Christos Papachristou, and 5 more authors
    In Proceedings of the TRECVID 2009 Workshop, Nov 2009
  2. C
    Are clickthrough data reliable as image annotations?
    Theodora Tsikrika, Christos Diou, Arjen P. Vries, and Anastasios Delopoulos
    In In Proceedings of the Theseus/ImageCLEF workshop on visual information retrieval evaluation, Nov 2009
  3. C
    Image annotation using clickthrough data
    Theodora Tsikrika, Christos Diou, Arjen P. Vries, and Anastasios Delopoulos
    In 8th ACM International Conference on Image and Video Retrieval, CIVR, Nov 2009

2008

  1. C
    Indexing and Browsing of Color Images: Design Considerations
    Christos Diou, Nikolaos Batalas, and Anastasios Delopoulos
    In Advances in Semantic Media Adaptation and Personalization, Nov 2008
  2. C
    VITALAS at TRECVID-2008
    Christos Diou, Christos Papachristou, Panagiotis Panagiotopoulos, Gegorgios Stephanopoulos, Nikolaos Dimitriou, and 5 more authors
    In Proceedings of the TRECVID 2008 Workshop, Nov 2008
  3. C
    Association studies on cervical cancer facilitated by inference and semantic technologies: The ASSIST approach
    P. Mitkas, V. Koutkias, A. Symeonidis, M. Falelakis, C. Diou, and 4 more authors
    In Proceedings of the International Congress of the European Federation for Medical Informatics (MIE08), Göteborg, Sweden, Nov 2008

2006

  1. J
    Complexity control in semantic identification
    Manolis Falelakis, Christos Diou, and Anastasios Delopoulos
    International Journal of Intelligent Systems Technologies and Applications, Nov 2006
  2. J
    Semantic Identification: Balancing between Complexity and Validity
    Manolis Falelakis, Christos Diou, and Anastasios Delopoulos
    EURASIP Journal on Advances in Signal Processing, Nov 2006
  3. C
    Efficient indexing, color descriptors and browsing in image databases
    Nikos Batalas, Christos Diou, and Anastasios Delopoulos
    In Proceedings of the 1st International Workshop on Semantic Media Adaptation and Personalization (SMAP06), Nov 2006
  4. C
    Constructing fuzzy relations from WordNet for word sense disambiguation
    Christos Diou, Giorgos Katsikatsos, and Anastasios Delopoulos
    In Proceedings of the 1st International Workshop on Semantic Media Adaptation and Personalization (SMAP06), Nov 2006
  5. C
    Space-time tubes and motion representation
    Christos Diou, Anastasia Manta, and Anastasios Delopoulos
    In Proceedings of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI), Nov 2006

2005

  1. C
    Minimizing uncertainty in semantic identification when computing resources are limited
    Manolis Falelakis, Christos Diou, Manolis Wallace, and Anastasios Delopoulos
    In Proceedings of the 2005 International Conference on Artificial Neural Networks (ICANN05), Nov 2005
  2. C
    Knowledge based unification of medical archives
    Christos Diou, Manolis Falelakis, and Anastasios Delopoulos
    In Proceedings of the 2005 International Networking Conference (INC2005), Nov 2005
  3. C
    Complexity Control in Semantic Identification
    Manolis Falelakis, Christos Diou, Anastasios Valsamidis, and Anastasios Delopoulos
    In IEEE International Conference on Fuzzy Systems, Reno, Nevada, USA, Nov 2005
  4. C
    Dynamic Semantic Identification with Complexity Constraints as a Knapsack Problem
    Manolis Falelakis, Christos Diou, Anastasios Valsamidis, and Anastasios Delopoulos
    In IEEE International Conference on Fuzzy Systems, Reno, Nevada, USA, Nov 2005

2004

  1. C
    Identification Of Semantics: Balancing between Complexity and Validity
    Manolis Falelakis, Christos Diou, and Anastasios Delopoulos
    Nov 2004