Paulo de Carvalho

A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario

We intend to create a new risk assessment methodology that combines the best characteristics of both risk score and machine learning models. More specifically, we aim to develop a method that,...

Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems

One of the key challenges when developing a predictive model is the capability to describe the domain knowledge and the cause-effect relationships in a simple way. Decision rules are a useful and...

Detection of squawks in respiratory sounds of mechanically ventilated COVID-19 patients

Mechanically ventilated patients typically exhibit abnormal respiratory sounds. Squawks are short inspiratory adventitious sounds that may occur in patients with pneumonia, such as COVID-19...

Biofeedback augmented software engineering: monitoring of programmers' mental effort

From Centralized Learning to Federated Setting: Keeping Reliability on Track

No Vibe Without Comprehension: Measuring Code Understanding in Modern Coding Workflows Using Neurophysiological Signals

iReview: an Intelligent Code Review Evaluation Tool using Biofeedback

A Comparative Analysis of Cognitive Load Surrogates Using the Eye-Tracker in Code Comprehension

On the Adaptability of ML Reliability Estimation Techniques to Federated Settings

NRevisit: A Cognitive Behavioral Metric for Code Understandability Assessment

The lookAfterRisk Project: Dynamic Cardiovascular Risk Assessment based on Remote Monitoring Solutions

On the viability of ECG features for seizure anticipation on long-term data

Comparison of an interpretable data-driven approach with state of the art classifiers: Application to cardiovascular risk assessment

HeartCycle: Advanced sensors for telehealth applications

Beat-to-beat cardiac output inference using heart sounds

A Clinical Interpretable Approach Applied to Cardiovascular Risk Assessment

Telehealth streams reduction based on pattern recognition techniques for events detection and efficient storage in EHR

Software code complexity assessment using EEG features