CORTEXA
← Browse

Jorge Bernardino

3 papers indexed

crossrefMachine Learning and Knowledge Extraction2026-05-13

Automatic Index Tuning via Quantum Deep Reinforcement Learning

Jorge Duarte, Le Gruenwald, Laurent D’Orazio, Jorge Bernardino

The Index Selection Problem (ISP) refers to the task of automatically identifying the most appropriate set of indexes for a given database workload that can minimize execution costs. However, ISP is a fundamental yet complex challenge in database management systems. In the era of…

View free PDFSource page
crossrefComputers2026-03-04Cited by 4

Machine Learning and Deep Learning for Dropout Prediction in Higher Education: A Review

Beatriz Duro, Anabela Gomes, Fernanda Brito Correia, Ana Rosa Borges, Jorge Bernardino

Student dropout in Higher Education remains a persistent challenge with significant academic, social and economic consequences. Predictive analytics using traditional Machine Learning and Deep Learning have been increasingly explored to support early identification of students at…

View free PDFSource page
crossrefFuture Internet2025-04-07Cited by 11

Multi-Class Intrusion Detection in Internet of Vehicles: Optimizing Machine Learning Models on Imbalanced Data

Ágata Palma, Mário Antunes, Jorge Bernardino, Ana Alves

The Internet of Vehicles (IoV) presents complex cybersecurity challenges, particularly against Denial-of-Service (DoS) and spoofing attacks targeting the Controller Area Network (CAN) bus. This study leverages the CICIoV2024 dataset, comprising six distinct classes of benign traf…

View free PDFSource page