Paula Andrea Pérez-Toro — accepted AI-conference papers

2025

A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids

Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Andreas K. Maier, Johann Jäger +1

ICASSP 2025accepted

The integration of renewable energy sources into the electrical grid introduces complex challenges in fault detection and coordination of grid recovery mechanisms. Traditional relay protection systems, which operate based on static rules and predefined thresholds, are inadequate for addressing these…

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2024

Longitudinal Modeling of Depression Shifts Using Speech and Language

Paula Andrea Pérez-Toro, Judith Dineley, Agnieszka Kaczkowska, Pauline Conde, Yuezhou Zhang, Faith Matcham +12

ICASSP 2024accepted

Speech analysis can provide a potential non-invasive and objective means of assessing and monitoring an individual’s mental health. Most studies to date have focused on cross-sectional analysis and have not explored the benefits of speech analysis as a longitudinal monitoring tool that can assist in…

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2023

Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets

Paula Andrea Pérez-Toro, Dalia Rodríguez-Salas, Tomás Arias-Vergara, Sebastian P. Bayerl, Philipp Klumpp, Korbinian Riedhammer +4

ICASSP 2023accepted

Progressive loss of memory is the most known symptom of Alzheimer’s Disease (AD); however, it also affects other cognitive skills and leads to depression symptoms. This paper presents a transfer learning strategy for automatically detecting AD and depression in AD patients using acoustic information…

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2021

Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease

Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, M. Sierra-Castrillón, M. E. Roldán-López +7

ICASSP 2021accepted

The PSEN1-E280A or Paisa mutation is responsible for most of Early-Onset Alzheimer’s (EOA) disease cases in Colombia. It affects a large kindred of over 5000 members that present the same phenotype. The most common symptoms are related to language disorders, where speech fluency is also affected due…

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2021

End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data

Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Elmar Nöth

ICASSP 2021accepted

Parkinson’s disease is a neurodegenerative disorder characterized by the presence of different motor impairments. Speech and gait signals have been analyzed to detect the presence of the disease and the severity in patients. However, most studies have been performed in controlled conditions using hi…

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