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Automatic Detection and Classification of Argumentation in a Legal Case (Automatische detectie en classificatie van de argumentatie in een juridische zaak) KU Leuven

The huge amount of documents available in the legal domain calls for computational tools supporting efficient and intelligent search and filtering of information. Over the last several years, machine-learning oriented research in information retrieval and document classification has spawned a number of systems capable of handling structural content management, helping users to automatically or semi-automatically identify relevant structured ...

Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study KU Leuven

Davy Preuveneers, Vera Rimmer, Ilias Tsingenopoulos, Jan Spooren, Wouter Joosen
The adoption of machine learning and deep learning is on the rise in the cybersecurity domain where these AI methods help strengthen traditional system monitoring and threat detection solutions. However, adversaries too are becoming more effective in concealing malicious behavior amongst large amounts of benign behavior data. To address the increasing time-to-detection of these stealthy attacks, interconnected and federated learning systems can ...

Passive case detection of malaria in Ratanakiri Province (Cambodia) to detect villages at higher risk for malaria Instituut voor Tropische Geneeskunde Universiteit Antwerpen

Somony Heng, Lies Durnez, Sokny Mao, Sovannaroth Siv, Sochantha Tho, Vanna Mean, Vincent Sluydts, Marc Coosemans

Background: Cambodia reduced malaria incidence by more than 75% between 2000 and 2015, a target of the Millennium Development Goal 6. The Cambodian Government aims to eliminate all forms of malaria by 2025. The country's malaria incidence is highly variable at provincial level, but less is known at village level. This study used passive case detection (PCD) data at village level in Ratanakiri Province from 2010 to 2014 to describe incidence ...

Duplicate detection for for digital audio archive management : two case studies Universiteit Gent

Joren Six, Federica Bressan, Koen Renders
This chapter focuses on identification of duplicate audio material in large digital music archives. The music information retrieval (MIR) problem to efficiently find duplicate in large collections is a solved problem. There are even off-the-shelf systems available to find duplicates. The applications of this technology, however, are still too unknown and underexploited. This chapter describes duplicate detection and its many applications which ...

Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece Vrije Universiteit Brussel Universiteit Gent

Bruno Cornelis, Tijana Ruzic, Emile Gezels, Ann Dooms, Aleksandra Pizurica, Ljiljana Platisa, Jan Paul Herman Cornelis, Maximiliaan Martens, Marc De Mey, Ingrid Daubechies, et al.
Digital image processing is proving to be of great help in the analysis and documentation of our vast cultural heritage. In this paper, we present a new method for the virtual restoration of digitized paintings with special attention for the Ghent Altarpiece (1432), a large polyptych panel painting of which very few digital reproductions exist. We achieve our objective by detecting and digitally removing cracks. The detection of cracks is ...

Will Smartphone Applications Replace the Insertable Cardiac Monitor in the Detection of Atrial Fibrillation? The First Comparison in a Case Report of a Cryptogenic Stroke Patient Universiteit Hasselt

Femke WOUTERS, Henri GRUWEZ, Julie VRANKEN, Dieter MESOTTEN, Pieter VANDERVOORT
Background and CaseThis case report exemplifies the clinical application of non-invasive photoplethysmography (PPG)-based rhythm monitoring in the awakening mobile health (mHealth) era to detect symptomatic and asymptomatic paroxysmal atrial fibrillation (AF) in a cryptogenic stroke patient. Despite extensive diagnostic workup, the etiology remains unknown in one out of three ischemic strokes (i.e., cryptogenic stroke). Prolonged cardiac ...

Pulmonary tuberculosis case detection in a medium incidence middle-income country Instituut voor Tropische Geneeskunde

Larissa Otero Vegas
Case detection is central to tuberculosis (TB) control. Missed or delayed diagnoses lead to longer periods of infectiousness that sustain TB transmission. Modelling indicates that detecting 70% of smear-positive pulmonary TB cases and curing 85% of them - the present World Health Organization targets - can decrease TB incidence by 10% per year. However, in 2014, worldwide, only 63% of the estimated smear-positive cases were detected and notified ...