Helena Aidos

Orcid: 0000-0001-6827-4217

According to our database1, Helena Aidos authored at least 51 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation.
CoRR, 2024

iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Advances in Information Retrieval, 2024

2023
A survey on traffic flow prediction and classification.
Intell. Syst. Appl., November, 2023

Super-resolution of magnetic resonance images using Generative Adversarial Networks.
Comput. Medical Imaging Graph., September, 2023

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023

Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes.
Proceedings of the 31st European Signal Processing Conference, 2023

iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Advances in Information Retrieval, 2023



Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
AI in Breast Cancer Imaging: A Survey of Different Applications.
J. Imaging, 2022

Exploiting second-order dissimilarity representations for hierarchical clustering and visualization.
Data Min. Knowl. Discov., 2022

Biclustering fMRI time series: a comparative study.
BMC Bioinform., 2022

Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022


Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2020
End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Neighborhood-aware autoencoder for missing value imputation.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
On the Exploration of Promising Analog IC Designs via Artificial Neural Networks.
Proceedings of the 15th International Conference on Synthesis, 2018

Protecting the ECG Signal in Cloud-based User Identification System - A Dissimilarity Representation Approach.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Discrimination of Alzheimer's Disease using longitudinal information.
Data Min. Knowl. Discov., 2017

ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Efficient Evidence Accumulation Clustering for Large Datasets.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015
A Novel Data Representation Based on Dissimilarity Increments.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Semi-Supervised Consensus Clustering for ECG Pathology Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014
Feature Extraction in Pet Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the ICPRAM 2014, 2014

Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A family of hierarchical clustering algorithms based on high-order dissimilarities.
Proceedings of the 22nd European Signal Processing Conference, 2014

Learning Similarities by Accumulating Evidence in a Probabilistic Way.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Diagnosing Alzheimer's Disease: Automatic Extraction and Selection of Coherent Regions in FDG-PET Images.
Proceedings of the Biomedical Engineering Systems and Technologies, 2014

Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the BIOIMAGING 2014, 2014

2013
Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Morphological ECG Analysis for Attention Detection.
Proceedings of the IJCCI 2013, 2013

The Area under the ROC Curve as a Criterion for Clustering Evaluation.
Proceedings of the ICPRAM 2013, 2013

Evidence Accumulation Approach applied to EEG Analysis.
Proceedings of the ICPRAM 2013, 2013

Dissimilarity Increments Distribution in the Evidence Accumulation Clustering Framework.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Exploratory EEG Analysis using Clustering and Phase-locking Factor.
Proceedings of the BIOSIGNALS 2013, 2013

2012
Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering.
Pattern Recognit., 2012

Classification using High Order Dissimilarities in Non-euclidean Spaces.
Proceedings of the ICPRAM 2012, 2012

k-Nearest Neighbor Classification Using Dissimilarity Increments.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

2011
A Study of Embedding Methods under the Evidence Accumulation Framework.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Hierarchical Clustering with High Order Dissimilarities.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

On the Distribution of Dissimilarity Increments.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization.
J. Mach. Learn. Res., 2010

An information retrieval perspective on visualization of gene expression data with ontological annotation.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Supervised nonlinear dimensionality reduction by Neighbor Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2009


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