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09/21/2023
Regionally Additive Models: Explainable-by-design models minimizing feature interactions
Generalized Additive Models (GAMs) are widely used explainable-by-design...
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09/20/2023
RHALE: Robust and Heterogeneity-aware Accumulated Local Effects
Accumulated Local Effects (ALE) is a widely-used explainability method f...
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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...
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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...
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07/19/2023
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
Deep learning-based person identification and verification systems have ...
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05/26/2023
CNN Feature Map Augmentation for Single-Source Domain Generalization
In search of robust and generalizable machine learning models, Domain Ge...
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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...
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04/27/2023
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
Bias in computer vision systems can perpetuate or even amplify discrimin...
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04/02/2023
CNNs with Multi-Level Attention for Domain Generalization
In the past decade, deep convolutional neural networks have achieved sig...
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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...
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10/27/2022
Partially Oblivious Neural Network Inference
Oblivious inference is the task of outsourcing a ML model, like neural-n...
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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...
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08/31/2022
An evaluation framework for comparing causal inference models
Estimation of causal effects is the core objective of many scientific di...
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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...
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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,...
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07/27/2022
Multi-layer Representation Learning for Robust OOD Image Classification
Convolutional Neural Networks have become the norm in image classificati...
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06/04/2022
Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned
The progress in artificial intelligence and machine learning algorithms ...
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05/23/2022
An improved neural network model for treatment effect estimation
Nowadays, in many scientific and industrial fields there is an increasin...
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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...
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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...
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05/11/2020
Collecting big behavioral data for measuring behavior against obesity
Obesity is currently affecting very large portions of the global populat...
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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...
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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...
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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...
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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...
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06/26/2017