Christos Diou | DeepAI

DeepAI AI Chat

Featured Co-authors

Symeon Papadopoulos
36 publications
Eirini Ntoutsi
32 publications
Tahar Kechadi
17 publications
Anastasios Delopoulos
14 publications
Christos Koutlis
13 publications
Despoina Paschalidou
12 publications
Iraklis Varlamis
9 publications
Konstantinos Tserpes
9 publications
Vasileios Papapanagiotou
8 publications
Aristotelis Ballas
7 publications
Angelos Katharopoulos
7 publications

∙ 09/21/2023

Regionally Additive Models: Explainable-by-design models minimizing feature interactions

Generalized Additive Models (GAMs) are widely used explainable-by-design...

0 Vasilis Gkolemis, et al. ∙

∙ 09/20/2023

RHALE: Robust and Heterogeneity-aware Accumulated Local Effects

Accumulated Local Effects (ALE) is a widely-used explainability method f...

0 Vasilis Gkolemis, et al. ∙

∙ 08/28/2023

Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization

During the past decade, deep neural networks have led to fast-paced prog...

0 Aristotelis Ballas, et al. ∙

∙ 08/06/2023

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques

Anomaly Detection in multivariate time series is a major problem in many...

0 Anastasios Iliopoulos, et al. ∙

∙ 07/19/2023

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases

Deep learning-based person identification and verification systems have ...

0 Ioannis Sarridis, et al. ∙

∙ 05/26/2023

CNN Feature Map Augmentation for Single-Source Domain Generalization

In search of robust and generalizable machine learning models, Domain Ge...

0 Aristotelis Ballas, et al. ∙

∙ 05/11/2023

Integrating nearest neighbors on neural network models for treatment effect estimation

Treatment effect estimation is of high-importance for both researchers a...

0 Niki Kiriakidou, et al. ∙

∙ 04/27/2023

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations

Bias in computer vision systems can perpetuate or even amplify discrimin...

0 Ioannis Sarridis, et al. ∙

∙ 04/02/2023

CNNs with Multi-Level Attention for Domain Generalization

In the past decade, deep convolutional neural networks have achieved sig...

0 Aristotelis Ballas, et al. ∙

∙ 03/20/2023

Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks

Despite their immense success in numerous fields, machine and deep learn...

0 Aristotelis Ballas, et al. ∙

∙ 10/27/2022

Partially Oblivious Neural Network Inference

Oblivious inference is the task of outsourcing a ML model, like neural-n...

0 Panagiotis Rizomiliotis, et al. ∙

∙ 10/10/2022

DALE: Differential Accumulated Local Effects for efficient and accurate global explanations

Accumulated Local Effect (ALE) is a method for accurately estimating fea...

40 Vasilis Gkolemis, et al. ∙

∙ 08/31/2022

An evaluation framework for comparing causal inference models

Estimation of causal effects is the core objective of many scientific di...

1 Niki Kiriakidou, et al. ∙

∙ 08/31/2022

Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds

Heart murmurs are abnormal sounds present in heartbeats, caused by turbu...

9 Aristotelis Ballas, et al. ∙

∙ 08/20/2022

A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks

Deep Learning systems have achieved great success in the past few years,...

14 Aristotelis Ballas, et al. ∙

∙ 07/27/2022

Multi-layer Representation Learning for Robust OOD Image Classification

Convolutional Neural Networks have become the norm in image classificati...

5 Aristotelis Ballas, et al. ∙

∙ 06/04/2022

Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned

The progress in artificial intelligence and machine learning algorithms ...

0 Christos Diou, et al. ∙

∙ 05/23/2022

An improved neural network model for treatment effect estimation

Nowadays, in many scientific and industrial fields there is an increasin...

0 Niki Kiriakidou, et al. ∙

∙ 08/02/2021

Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone

The importance of automated and objective monitoring of dietary behavior...

0 Vasileios Papapanagiotou, et al. ∙

∙ 10/12/2020

A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches

The increased worldwide prevalence of obesity has sparked the interest o...

0 Konstantinos Kyritsis, et al. ∙

∙ 05/11/2020

Collecting big behavioral data for measuring behavior against obesity

Obesity is currently affecting very large portions of the global populat...

0 Vasileios Papapanagiotou, et al. ∙

∙ 05/08/2020

Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment

Obesity affects a rising percentage of the children and adolescent popul...

0 Ioannis Sarafis, et al. ∙

∙ 05/06/2020

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

Obesity is a complex disease and its prevalence depends on multiple fact...

0 Christos Diou, et al. ∙

∙ 11/18/2019

A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment

The way we eat and what we eat, the way we move and the way we sleep sig...

0 Christos Diou, et al. ∙

∙ 09/17/2018

Span error bound for weighted SVM with applications in hyperparameter selection

Weighted SVM (or fuzzy SVM) is the most widely used SVM variant owning i...

0 Ioannis Sarafis, et al. ∙

∙ 06/26/2017

Learning Local Feature Aggregation Functions with Backpropagation

This paper introduces a family of local feature aggregation functions an...

0 Angelos Katharopoulos, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world