Christos Diou

Orcid: 0000-0002-2461-1928

Affiliations:
  • Department of Informatics and Telematics, Harokopio University of Athens, Greece
  • Aristotle University of Thessaloniki, Greece (former)


According to our database1, Christos Diou authored at least 85 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

2023
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation.
Int. J. Neural Syst., July, 2023

On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals.
CoRR, 2023

FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.
CoRR, 2023

Regionally Additive Models: Explainable-by-design models minimizing feature interactions.
CoRR, 2023

Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization.
CoRR, 2023

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases.
CoRR, 2023

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations.
CoRR, 2023

Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot.
Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics, 2023

CNNs with Multi-Level Attention for Domain Generalization.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Streamlining XR Application Deployment with a Localized Docker Registry at the Edge.
Proceedings of the Service-Oriented and Cloud Computing, 2023

RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

CNN Feature Map Augmentation for Single-Source Domain Generalization.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022
Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds for the Physionet 2022 challenge.
CoRR, 2022

Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned.
CoRR, 2022

An evaluation framework for comparing causal inference models.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Multi-layer Representation Learning for Robust OOD Image Classification.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Partially Oblivious Neural Network Inference.
Proceedings of the 19th International Conference on Security and Cryptography, 2022

An Improved Neural Network Model for Treatment Effect Estimation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Computationally Efficient Rehearsal for Online Continual Learning.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in Heart-Beat Sounds.
Proceedings of the Computing in Cardiology, 2022

A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

DALE: Differential Accumulated Local Effects for efficient and accurate global explanations.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches.
IEEE J. Biomed. Health Informatics, 2021

Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment.
CoRR, 2020

Combining PENCIL with AMDIM for image classification with noisy and sparsely labeled data.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Recognition of Food-Texture Attributes Using an In-Ear Microphone.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Collecting big behavioral data for measuring behavior against obesity.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020


2019
Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight Measurements.
IEEE J. Biomed. Health Informatics, 2019

Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data.
IEEE J. Biomed. Health Informatics, 2019

Of daemons and men: reducing false positive rate in intrusion detection systems with file system footprint analysis.
Neural Comput. Appl., 2019

A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment.
CoRR, 2019

Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations.
Proceedings of the Wireless Mobile Communication and Healthcare, 2019

Assessment of In-Meal Eating Behaviour using Fuzzy SVM.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Behaviour Profiles for Evidence-based Policies Against Obesity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning.
J. Imaging, 2018

Span error bound for weighted SVM with applications in hyperparameter selection.
CoRR, 2018

End-to-end Learning for Measuring in-meal Eating Behavior from a Smartwatch.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry.
IEEE J. Biomed. Health Informatics, 2017

Objective measures of eating behaviour in a Swedish high school.
Behav. Inf. Technol., 2017

Food Intake Detection from Inertial Sensors Using LSTM Networks.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017

Learning local feature aggregation functions with backpropagation.
Proceedings of the 25th European Signal Processing Conference, 2017

Chewing detection from an in-ear microphone using convolutional neural networks.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

The SPLENDID chewing detection challenge.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Automated analysis of in meal eating behavior using a commercial wristband IMU sensor.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Data-driven assessments for sensor measurements of eating behavior.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Improving Concept-Based Image Retrieval with Training Weights Computed from Tags.
ACM Trans. Multim. Comput. Commun. Appl., 2016

Online training of concept detectors for image retrieval using streaming clickthrough data.
Eng. Appl. Artif. Intell., 2016

Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

A novel approach for chewing detection based on a wearable PPG sensor.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Building effective SVM concept detectors from clickthrough data for large-scale image retrieval.
Int. J. Multim. Inf. Retr., 2015

Automated Extraction of Food Intake Indicators from Continuous Meal Weight Measurements.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Fractal Nature of Chewing Sounds.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

Analysing Behaviours for Intrusion Detection.
Proceedings of the IEEE International Conference on Communication, 2015

A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurements.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Bottom-up modeling of small-scale energy consumers for effective Demand Response Applications.
Eng. Appl. Artif. Intell., 2014

Of daemons and men: A file system approach towards intrusion detection.
Appl. Soft Comput., 2014

Building Robust Concept Detectors from Clickthrough Data: A Study in the MSR-Bing Dataset.
Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, 2014

Preventing obesity and eating disorders through behavioural modifications: The SPLENDID vision.
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014

Weighted SVM from clickthrough data for image retrieval.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Multi-evidence User Group Discovery in Professional Image Search.
Proceedings of the Advances in Information Retrieval, 2014

2013
Applying semantic technologies in cervical cancer research.
Data Knowl. Eng., 2013

Agent-Based Small-Scale Energy Consumer Models for Energy Portfolio Management.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2013

2011
Reliability and effectiveness of clickthrough data for automatic image annotation.
Multim. Tools Appl., 2011

2010
Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2010

The Multimedia Understanding Group at TRECVID 2010.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

2009

Image annotation using clickthrough data.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008
Indexing and Browsing of Color Images: Design Considerations.
Proceedings of the Advances in Semantic Media Adaptation and Personalization, 2008


Association Studies on Cervical Cancer Facilitated by Inference and Semantic Technologies: The Assist Approach.
Proceedings of the eHealth Beyond the Horizon, 2008

2006
Complexity control in semantic identification.
Int. J. Intell. Syst. Technol. Appl., 2006

Semantic Identification: Balancing between Complexity and Validity.
EURASIP J. Adv. Signal Process., 2006

Constructing Fuzzy Relations fromWordNet forWord Sense Disambiguation.
Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization, 2006

Efficient Indexing, Color Descriptors and Browsing in Image Databases.
Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization, 2006

Space-Time Tubes and Motion Representation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

2005
Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Dynamic Semantic Identification with Complexity Constraints as a Knapsack Problem.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Complexity Control in Semantic Identification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
Identification of semantics: balancing between complexity and validity.
Proceedings of the IEEE 6th Workshop on Multimedia Signal Processing, 2004


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