Christos Diou - RankMe

139 papers A* 2A 2B 5C 3Misc 1Journal 73Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detecting application transitions and identifying application types for intent-based network assurance: A machine learning perspective. Comput. Networks John Violos, Fotios Voutsas, Christos Diou, Aris Leivadeas
2026	J	`jnl`	Illicit Object Detection in X-Ray Imaging Using Deep Learning Techniques: A Comparative Evaluation. IEEE Access Jorgen Cani, Christos Diou, Spyridon Evangelatos, Vasileios Argyriou, Panagiotis Radoglou-Grammatiki, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos
2026	J	`jnl`	Interpretability-by-Design with Accurate Locally Additive Models and Conditional Feature Effects. CoRR Vasilis Gkolemis, Loukas Kavouras, Dimitrios Kyriakopoulos, Konstantinos Tsopelas, Dimitrios Rontogiannis, Giuseppe Casalicchio, Theodore Dalamagas, Christos Diou
2025	J	`jnl`	A System for Objectively Measuring Behavior and the Environment to Support Large-Scale Studies on Childhood Obesity. IEEE J. Biomed. Health Informatics Vasileios Papapanagiotou, Ioannis A. Sarafis, Leonidas Alagialoglou, Vasileios Gkolemis, Christos Diou, Anastasios Delopoulos
2025	J	`jnl`	A system for objectively measuring behavior and the environment to support large-scale studies on childhood obesity. CoRR Vasileios Papapanagiotou, Ioannis A. Sarafis, Leonidas Alagialoglou, Vasileios Gkolemis, Christos Diou, Anastasios Delopoulos
2025	—	`conf`	BAdd: Bias Mitigation Through Bias Addition. ICCVW Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2025	J	`jnl`	FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations. IEEE Trans. Pattern Anal. Mach. Intell. Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2025	J	`jnl`	Fast and Robust Simulation-Based Inference With Optimization Monte Carlo. CoRR Vasilis Gkolemis, Christos Diou, Michael Gutmann
2025	J	`jnl`	Feature Bagging with Nested Rotations (FBNR) for anomaly detection in multivariate time series. Future Gener. Comput. Syst. Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis
2025	A*	`conf`	Gradient-Guided Annealing for Domain Generalization. CVPR Aristotelis Ballas, Christos Diou
2025	J	`jnl`	Gradient-Guided Annealing for Domain Generalization. CoRR Aristotelis Ballas, Christos Diou
2025	J	`jnl`	Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation. CoRR Jorgen Cani, Christos Diou, Spyridon C. Evangelatos, Vasileios Argyriou, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos
2025	J	`jnl`	Learning Robust Intervention Representations with Delta Embeddings. CoRR Panagiotis Alimisis, Christos Diou
2025	J	`jnl`	Usability and acceptance of a digital screening tool for diabetes in four European countries: the DigiCare4You study. Univers. Access Inf. Soc. Andreas Triantafyllidis, Sofia Segkouli, Katerina Skoumpourdi, Christina Mavrogianni, Ditila Doracaj, Florian Toti, Natalya Usheva, Martin Mirchev, Natalia Legarre, Ivie Maneschy, Yannis Manios, Konstantinos Votis, Chiara Seghieri, Djordje Djokic, Konstantinos Makrilakis, Lieven Annemans, Ruben Willems, Rajesh Vedanthan, Sabine Dupont, Brian Oldenburg, Dominika Kwasnicka, Enying Gong, Jenny Jung, Bernard Yeboah-Asiamah Asare, Vimarsha Kodithuwakku, Anastasios Alexiadis, Odysseas Kyparissis, Aggeliki Spyrou, Panagiotis Petridis, Christos Tziastas, Costas Anastasiou, Konstantinos Tserpes, Christos Diou, Constantine Tsigos, Eva Karaglani, Agathi Ntzouvani, Katerina Kontochristopoulou, Rafaela Makri, Matzourana Argyropoulou, Amalia Filippou, Maria Chrysini, Katerina Vervesou, Renos Roussos, Niovi Chrysanthakopoulou, Thalia Lampidi, Irene Rifioti, Olga Voureka, Renia Terzaki, Christina Pelekanou, Panayiota Kostarellou, Elizabeth Dupont, Martina Boccardo, Sandro Girolami, Giacomo Vespasiani, Teresa Almonti, Nazzareno Pierantozzi, Eric Notts, Giorgia Stoppaccioli, Claudia D'Antonio, Helen Skouteris, Tracy Taylor, Melissa Savaglio, George Stergiou, Stavros Liatis, George Karamanakos, Chrysi Koliaki, Anastasios Kollias, Eva Zikou, Haris Dimosthenopoulos, Keng-Yen Huang, Samrachana Adhikari, Jessica Gjonaj, Farhan Sahito, Dusan Pavlovic, Arzoo Sahito, Gisella Battalova, Costanza Tortu, Francesca Ferre, Violeta Iotova, Tanya Zlateva, Kaloyan Tzochev, Yoto Yotov, Rosiitsa Chamova, Anna Kozhuharova, Vesela Todorova, Alexander Mitev, Ralitsa Marinova, Donika Kandilarova, Sonya Nedelcheva, Petya Boncheva, Luis Moreno, Rosa Magallón Botaya, Gloria Bueno Lozano, María L. Miguel-Berges, Paloma Flores-Barrantes, Esther Ma Gonzalez-Gil, Pilar De Miguel-Etayo, Bárbara Oliván Blázquez, Susana Pérez, Ergita Nelaj, Skerdi Prifti, Luftime Bruka, Adriana Lapardhaja, Ornela Laze
2025	—	`conf`	VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation. AEQUITAS@ECAI Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2025	J	`jnl`	VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation. CoRR Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2024	J	`jnl`	A rehearsal framework for computational efficiency in online continual learning. Appl. Intell. Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes
2024	J	`jnl`	BAdd: Bias Mitigation through Bias Addition. CoRR Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2024	—	`conf`	C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. AIAI (3) Niki Kiriakidou, Ioannis E. Livieris, Christos Diou
2024	J	`jnl`	C-XGBoost: A tree boosting model for causal effect estimation. CoRR Niki Kiriakidou, Ioannis E. Livieris, Christos Diou
2024	—	`conf`	CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data. SETN Aristotelis Ballas, Christos Diou
2024	J	`jnl`	CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data. CoRR Aristotelis Ballas, Christos Diou
2024	J	`jnl`	Edge-driven Docker registry: facilitating XR application deployment. Computing Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Ioannis Kontopoulos, Maria Pateraki, Christos Diou, Konstantinos Tserpes
2024	J	`jnl`	Effector: A Python package for regional explanations. CoRR Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio
2024	J	`jnl`	Evaluating Human-AI Collaboration: A Review and Methodological Framework. CoRR George Fragiadakis, Christos Diou, George Kousiouris, Mara Nikolaidou
2024	—	`conf`	FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Gianni Fenu, Fadi Boutros, Mirko Marras, Naser Damer
2024	J	`jnl`	FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. Inf. Fusion Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
2024	B	`conf`	FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations. ICMR Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2024	J	`jnl`	FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations. CoRR Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2024	—	`conf`	Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis. VLDB Workshops Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2024	J	`jnl`	MAVias: Mitigate any Visual Bias. CoRR Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2024	J	`jnl`	Multiscale and Multilayer Contrastive Learning for Domain Generalization. IEEE Trans. Artif. Intell. Aristotelis Ballas, Christos Diou
2024	J	`jnl`	Sampling Strategies for Mitigating Bias in Face Synthesis Methods. CoRR Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, Christos Diou
2024	J	`jnl`	Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks. IEEE Trans. Emerg. Top. Comput. Intell. Aristotelis Ballas, Christos Diou
2024	J	`jnl`	Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning. IEEE Access Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou
2023	—	`conf`	CNN Feature Map Augmentation for Single-Source Domain Generalization. BigDataService Aristotelis Ballas, Christos Diou
2023	J	`jnl`	CNN Feature Map Augmentation for Single-Source Domain Generalization. CoRR Aristotelis Ballas, Christos Diou
2023	B	`conf`	CNNs with Multi-Level Attention for Domain Generalization. ICMR Aristotelis Ballas, Christos Diou
2023	J	`jnl`	CNNs with Multi-Level Attention for Domain Generalization. CoRR Aristotelis Ballas, Christos Diou
2023	—	`conf`	Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. BigDataService Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis
2023	J	`jnl`	Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. CoRR Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis
2023	—	`conf`	Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot. PCI George Kazazis, Christos Chronis, Christos Diou, Iraklis Varlamis
2023	J	`jnl`	FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations. CoRR Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2023	J	`jnl`	FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
2023	J	`jnl`	Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation. Int. J. Neural Syst. Niki Kiriakidou, Christos Diou
2023	J	`jnl`	Integrating nearest neighbors on neural network models for treatment effect estimation. CoRR Niki Kiriakidou, Christos Diou
2023	J	`jnl`	Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization. CoRR Aristotelis Ballas, Christos Diou
2023	J	`jnl`	On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals. CoRR Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou
2023	A	`conf`	RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects. ECAI Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2023	J	`jnl`	RHALE: Robust and Heterogeneity-aware Accumulated Local Effects. CoRR Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2023	—	`conf`	Regionally Additive Models: Explainable-by-Design Models Minimizing Feature Interactions. PKDD/ECML Workshops (2) Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2023	J	`jnl`	Regionally Additive Models: Explainable-by-design models minimizing feature interactions. CoRR Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2023	—	`conf`	Sampling Strategies for Mitigating Bias in Face Synthesis Methods. PKDD/ECML Workshops (1) Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, Christos Diou
2023	—	`conf`	Streamlining XR Application Deployment with a Localized Docker Registry at the Edge. ESOCC Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Antonis Protopsaltis, Maria Pateraki, Zbyszek Ledwon, Christos Diou, Dimosthenis Anagnostopoulos, Konstantinos Tserpes
2023	J	`jnl`	Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks. CoRR Aristotelis Ballas, Christos Diou
2023	—	`conf`	Towards Fair Face Verification: An In-depth Analysis of Demographic Biases. PKDD/ECML Workshops (1) Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2023	J	`jnl`	Towards Fair Face Verification: An In-depth Analysis of Demographic Biases. CoRR Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
2022	—	`conf`	A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks. BigDataService Aristotelis Ballas, Christos Diou
2022	J	`jnl`	A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks. CoRR Aristotelis Ballas, Christos Diou
2022	—	`conf`	An Improved Neural Network Model for Treatment Effect Estimation. AIAI (2) Niki Kiriakidou, Christos Diou
2022	—	`conf`	An evaluation framework for comparing causal inference models. SETN Niki Kiriakidou, Christos Diou
2022	J	`jnl`	An evaluation framework for comparing causal inference models. CoRR Niki Kiriakidou, Christos Diou
2022	J	`jnl`	An improved neural network model for treatment effect estimation. CoRR Niki Kiriakidou, Christos Diou
2022	—	`conf`	Computationally Efficient Rehearsal for Online Continual Learning. ICIAP (3) Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes
2022	C	`conf`	DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. ACML Vasilis Gkolemis, Theodore Dalamagas, Christos Diou
2022	J	`jnl`	DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. CoRR Vasilis Gkolemis, Theodore Dalamagas, Christos Diou
2022	J	`jnl`	Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned. CoRR Christos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou, Ioannis A. Sarafis
2022	J	`jnl`	Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds for the Physionet 2022 challenge. CoRR Aristotelis Ballas, Vasileios Papapanagiotou, Anastasios Delopoulos, Christos Diou
2022	—	`conf`	Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in Heart-Beat Sounds. CinC Aristotelis Ballas, Vasileios Papapanagiotou, Anastasios Delopoulos, Christos Diou
2022	—	`conf`	Multi-layer Representation Learning for Robust OOD Image Classification. SETN Aristotelis Ballas, Christos Diou
2022	J	`jnl`	Multi-layer Representation Learning for Robust OOD Image Classification. CoRR Aristotelis Ballas, Christos Diou
2022	C	`conf`	Partially Oblivious Neural Network Inference. SECRYPT Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia, Ilias Kyrannas, Konstantinos Tserpes
2022	J	`jnl`	Partially Oblivious Neural Network Inference. CoRR Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia, Ilias Kyrannas, Konstantinos Tserpes
2021	J	`jnl`	A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches. IEEE J. Biomed. Health Informatics Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
2021	—	`conf`	Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone. EMBC Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
2021	J	`jnl`	Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone. CoRR Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
2020	J	`jnl`	A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches. CoRR Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
2020	—	`conf`	BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment. EMBC Christos Diou, Ioannis A. Sarafis, Vasileios Papapanagiotou, Leonidas Alagialoglou, Irini Lekka, Dimitrios Filos, Leandros Stefanopoulos, Vasileios Kilintzis, Christos Maramis, Youla Karavidopoulou, Nikolaos Maglaveras, Ioannis Ioakimidis, Evangelia Charmandari, Penio Kassari, Athanasia Tragomalou, Monica Mars, Thien-An Ngoc Nguyen, M. Tahar Kechadi, Shane O' Donnell, Gerardine Doyle, Sarah Browne, Grace O' Malley, Rachel Heimeier, Katerina Riviou, Evangelia Koukoula, Konstantinos Filis, Maria Hassapidou, Ioannis Pagkalos, Daniel Ferri, Isabel Pérez, Anastasios Delopoulos
2020	J	`jnl`	BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment. CoRR Christos Diou, Ioannis A. Sarafis, Vassilis Papapanagiotou, Leonidas Alagialoglou, Irini Lekka, Dimitrios Filos, Leandros Stefanopoulos, Vasileios Kilintzis, Christos Maramis, Youla Karavidopoulou, Nicos Maglaveras, Ioannis Ioakimidis, Evangelia Charmandari, Penio Kassari, Athanasia Tragomalou, Monica Mars, Thien-An Ngoc Nguyen, M. Tahar Kechadi, Shane O' Donnell, Gerardine Doyle, Sarah Browne, Grace O' Malley, Rachel Heimeier, Katerina Riviou, Evangelia Koukoula, Konstantinos Filis, Maria Hassapidou, Ioannis Pagkalos, Daniel Ferri, Isabel Pérez, Anastasios Delopoulos
2020	—	`conf`	Collecting big behavioral data for measuring behavior against obesity. EMBC Vasileios Papapanagiotou, Ioannis A. Sarafis, Christos Diou, Ioannis Ioakimidis, Evangelia Charmandari, Anastasios Delopoulos
2020	J	`jnl`	Collecting big behavioral data for measuring behavior against obesity. CoRR Vasileios Papapanagiotou, Ioannis A. Sarafis, Christos Diou, Ioannis Ioakimidis, Evangelia Charmandari, Anastasios Delopoulos
2020	—	`conf`	Combining PENCIL with AMDIM for image classification with noisy and sparsely labeled data. SETN Alexandros Petropoulos, Christos Diou
2020	—	`conf`	Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment. EMBC Ioannis A. Sarafis, Christos Diou, Vasileios Papapanagiotou, Leonidas Alagialoglou, Anastasios Delopoulos
2020	J	`jnl`	Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment. CoRR Ioannis A. Sarafis, Christos Diou, Vasileios Papapanagiotou, Leonidas Alagialoglou, Anastasios Delopoulos
2020	—	`conf`	Recognition of Food-Texture Attributes Using an In-Ear Microphone. ICPR Workshops (5) Vasileios Papapanagiotou, Christos Diou, Janet van den Boer, Monica Mars, Anastasios Delopoulos
2019	J	`jnl`	A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment. CoRR Christos Diou, Ioannis A. Sarafis, Vasileios Papapanagiotou, Ioannis Ioakimidis, Anastasios Delopoulos
2019	—	`conf`	Assessment of In-Meal Eating Behaviour using Fuzzy SVM. EMBC Ioannis A. Sarafis, Christos Diou, Ioannis Ioakimidis, Anastasios Delopoulos
2019	J	`jnl`	Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight Measurements. IEEE J. Biomed. Health Informatics Vasileios Papapanagiotou, Christos Diou, Ioannis Ioakimidis, Per Södersten, Anastasios Delopoulos
2019	—	`conf`	Behaviour Profiles for Evidence-based Policies Against Obesity. EMBC Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos
2019	—	`conf`	Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch. EMBC Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
2019	—	`conf`	Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations. MobiHealth Christos Maramis, Ioannis Ioakimidis, Vassilis Kilintzis, Leandros Stefanopoulos, Eirini Lekka, Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos, Penio Kassari, Evangelia Charmandari, Nikolaos Maglaveras
2019	J	`jnl`	Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data. IEEE J. Biomed. Health Informatics Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
2019	J	`jnl`	Of daemons and men: reducing false positive rate in intrusion detection systems with file system footprint analysis. Neural Comput. Appl. George Mamalakis, Christos Diou, Andreas L. Symeonidis, Leonidas Georgiadis
2018	—	`conf`	End-to-end Learning for Measuring in-meal Eating Behavior from a Smartwatch. EMBC Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
2018	J	`jnl`	Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning. J. Imaging Christos Diou, Pantelis Lelekas, Anastasios Delopoulos
2018	J	`jnl`	Span error bound for weighted SVM with applications in hyperparameter selection. CoRR Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos
2017	J	`jnl`	A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry. IEEE J. Biomed. Health Informatics Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos
2017	—	`conf`	Automated analysis of in meal eating behavior using a commercial wristband IMU sensor. EMBC Konstantinos Kyritsis, Christina Lefkothea Tatli, Christos Diou, Anastasios Delopoulos
2017	—	`conf`	Chewing detection from an in-ear microphone using convolutional neural networks. EMBC Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
2017	—	`conf`	Data-driven assessments for sensor measurements of eating behavior. BHI Christos Diou, Ioannis A. Sarafis, Ioannis Ioakimidis, Anastasios Delopoulos
2017	—	`conf`	Food Intake Detection from Inertial Sensors Using LSTM Networks. ICIAP Workshops Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
2017	J	`jnl`	Learning Local Feature Aggregation Functions with Backpropagation. CoRR Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
2017	—	`conf`	Learning local feature aggregation functions with backpropagation. EUSIPCO Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
2017	J	`jnl`	Objective measures of eating behaviour in a Swedish high school. Behav. Inf. Technol. Billy Langlet, Anna Anvret, Christos Maramis, Ioannis Moulos, Vasileios Papapanagiotou, Christos Diou, Eirini Lekka, Rachel Heimeier, Anastasios Delopoulos, Ioannis Ioakimidis
2017	—	`conf`	The SPLENDID chewing detection challenge. EMBC Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos
2016	—	`conf`	A novel approach for chewing detection based on a wearable PPG sensor. EMBC Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos
2016	A*	`conf`	Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets. ACM Multimedia Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
2016	J	`jnl`	Improving Concept-Based Image Retrieval with Training Weights Computed from Tags. ACM Trans. Multim. Comput. Commun. Appl. Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
2016	J	`jnl`	Online training of concept detectors for image retrieval using streaming clickthrough data. Eng. Appl. Artif. Intell. Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos
2015	—	`conf`	A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurements. EMBC Vasileios Papapanagiotou, Christos Diou, Billy Langlet, Ioannis Ioakimidis, Anastasios Delopoulos
2015	—	`conf`	Analysing Behaviours for Intrusion Detection. ICC Workshops George Mamalakis, Christos Diou, Andreas L. Symeonidis
2015	—	`conf`	Automated Extraction of Food Intake Indicators from Continuous Meal Weight Measurements. IWBBIO (2) Vasileios Papapanagiotou, Christos Diou, Billy Langlet, Ioannis Ioakimidis, Anastasios Delopoulos
2015	J	`jnl`	Building effective SVM concept detectors from clickthrough data for large-scale image retrieval. Int. J. Multim. Inf. Retr. Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos
2015	—	`conf`	Fractal Nature of Chewing Sounds. ICIAP Workshops Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos
2014	J	`jnl`	Bottom-up modeling of small-scale energy consumers for effective Demand Response Applications. Eng. Appl. Artif. Intell. Antonios C. Chrysopoulos, Christos Diou, Andreas L. Symeonidis, Pericles A. Mitkas
2014	—	`conf`	Building Robust Concept Detectors from Clickthrough Data: A Study in the MSR-Bing Dataset. SMAP Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos
2014	A	`conf`	Multi-evidence User Group Discovery in Professional Image Search. ECIR Theodora Tsikrika, Christos Diou
2014	J	`jnl`	Of daemons and men: A file system approach towards intrusion detection. Appl. Soft Comput. George Mamalakis, Christos Diou, Andreas L. Symeonidis, Leonidas Georgiadis
2014	—	`conf`	Preventing obesity and eating disorders through behavioural modifications: The SPLENDID vision. MobiHealth Christos Maramis, Christos Diou, Ioannis Ioakeimidis, Irini Lekka, Gabriela Dudnik, Monica Mars, Nikolaos Maglaveras, Cecilia Bergh, Anastasios Delopoulos
2014	B	`conf`	Weighted SVM from clickthrough data for image retrieval. ICIP Ioannis A. Sarafis, Christos Diou, Theodora Tsikrika, Anastasios Delopoulos
2013	—	`conf`	Agent-Based Small-Scale Energy Consumer Models for Energy Portfolio Management. IAT Antonios C. Chrysopoulos, Christos Diou, Andreas L. Symeonidis, Pericles A. Mitkas
2013	J	`jnl`	Applying semantic technologies in cervical cancer research. Data Knowl. Eng. Christos Maramis, Manolis Falelakis, Irini Lekka, Christos Diou, Pericles A. Mitkas, Anastasios Delopoulos
2011	J	`jnl`	Reliability and effectiveness of clickthrough data for automatic image annotation. Multim. Tools Appl. Theodora Tsikrika, Christos Diou, Arjen P. de Vries, Anastasios Delopoulos
2010	J	`jnl`	Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion. IEEE Trans. Circuits Syst. Video Technol. Christos Diou, George Stephanopoulos, Panagiotis Panagiotopoulos, Christos Papachristou, Nikos Dimitriou, Anastasios Delopoulos
2010	—	`conf`	The Multimedia Understanding Group at TRECVID 2010. TRECVID Christos Diou, George Stephanopoulos, Anastasios Delopoulos
2009	—	`conf`	Image annotation using clickthrough data. CIVR Theodora Tsikrika, Christos Diou, Arjen P. de Vries, Anastasios Delopoulos
2009	—	`conf`	VITALAS at TRECVID-2009. TRECVID Christos Diou, Nikos Dimitriou, Panagiotis Panagiotopoulos, Christos Papachristou, Anastasios Delopoulos, George Stephanopoulos, Henning Rode, Theodora Tsikrika, Arjen P. de Vries, Daniel Schneider, Jochen Schwenninger, Marie-Luce Viaud, Agnès Saulnier, Peter Altendorf, Birgit Schröter, Matthias Elser, Angel Rego, Alex Rodriguez, Cristina Martínez, Iñaki Etxaniz, Gérard Dupont, Bruno Grilhères, Nicolas Martin, Nozha Boujemaa, Alexis Joly, Raffi Enficiaud, Anne Verroust, Souheil Selmi, Mondher Khadhraoui
2008	—	`conf`	Association Studies on Cervical Cancer Facilitated by Inference and Semantic Technologies: The Assist Approach. MIE Pericles A. Mitkas, Vassilis Koutkias, Andreas L. Symeonidis, Manolis Falelakis, Christos Diou, Irini Lekka, Anastasios Delopoulos, Theodoros Agorastos, Nicos Maglaveras
2008	—	`ch.`	Indexing and Browsing of Color Images: Design Considerations. Advances in Semantic Media Adaptation and Personalization Christos Diou, Nikos Batalas, Anastasios Delopoulos
2008	—	`conf`	VITALAS at TRECVID-2008. TRECVID Christos Diou, Christos Papachristou, Panagiotis Panagiotopoulos, Anastasios Delopoulos, George Stephanopoulos, Nikos Dimitriou, Henning Rode, Arjen P. de Vries, Theodora Tsikrika, Robin Aly
2006	J	`jnl`	Complexity control in semantic identification. Int. J. Intell. Syst. Technol. Appl. Manolis Falelakis, Christos Diou, Anastasios Delopoulos
2006	—	`conf`	Constructing Fuzzy Relations fromWordNet forWord Sense Disambiguation. SMAP Christos Diou, Giorgos Katsikatsos, Anastasios Delopoulos
2006	—	`conf`	Efficient Indexing, Color Descriptors and Browsing in Image Databases. SMAP Nikos Batalas, Christos Diou, Anastasios Delopoulos
2006	J	`jnl`	Semantic Identification: Balancing between Complexity and Validity. EURASIP J. Adv. Signal Process. Manolis Falelakis, Christos Diou, Anastasios Delopoulos
2006	Misc	`conf`	Space-Time Tubes and Motion Representation. AIAI Christos Diou, Anastasia Manta, Anastasios Delopoulos
2005	B	`conf`	Complexity Control in Semantic Identification. FUZZ-IEEE Manolis Falelakis, Christos Diou, Anastasios Valsamidis, Anastasios Delopoulos
2005	B	`conf`	Dynamic Semantic Identification with Complexity Constraints as a Knapsack Problem. FUZZ-IEEE Manolis Falelakis, Christos Diou, Anastasios Valsamidis, Anastasios Delopoulos
2005	—	`conf`	Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited. ICANN (2) Manolis Falelakis, Christos Diou, Manolis Wallace, Anastasios Delopoulos
2004	C	`conf`	Identification of semantics: balancing between complexity and validity. MMSP Manolis Falelakis, Christos Diou, Anastasios Delopoulos