A5068152332- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Data Mining Algorithms and Applications
- Advanced Clustering Algorithms Research
- Data Management and Algorithms
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Electricity Theft Detection Techniques
- Recommender Systems and Techniques
- Parkinson's Disease Mechanisms and Treatments
- Complex Network Analysis Techniques
- Neurological disorders and treatments
- Fuzzy Logic and Control Systems
- Urban Transport and Accessibility
- Statistical Methods and Inference
- Algorithms and Data Compression
- Advanced Malware Detection Techniques
- Computer Graphics and Visualization Techniques
- Face and Expression Recognition
- Rough Sets and Fuzzy Logic
- Explainable Artificial Intelligence (XAI)
- Forest ecology and management
- Parallel Computing and Optimization Techniques
- Voice and Speech Disorders
- Digital Marketing and Social Media
University of the Basque Country
2011-2025
Polymat
2010
Abstract Non-motor manifestations of Parkinson’s disease (PD) appear early and have a significant impact on the quality life patients, but few studies evaluated their predictive potential with machine learning algorithms. We 9 algorithms for discriminating PD patients from controls using wide collection non-motor clinical features two databases: Biocruces (96 subjects) PPMI (687 subjects). In addition, we whether combination both databases could improve individual results. For each database...
This paper presents a novel approach for screening women in their first trimester of pregnancy to identify those at high risk having child with Down syndrome (DS), using machine learning algorithms. Various models, including statistical, linear, and ensemble were trained pseudo-anonymized dataset 90,532 patients. dataset, containing less than 1% positive cases, was obtained from Cruces University Hospital, public health hospital (Osakidetza) Baracaldo, Basque Country, Spain. The models...
The management of urban transportation systems represents one the most formidable challenges for local government that generates several problems related to well-being and comfort public commute travel in their daily life. Improvements various policies practical measures can move us closer ideal sustainable areas with systems. Nevertheless, these aspirations no way ensure unanimity over effective actions take extent benefits. In response, a mathematical model has been developed...
SAHN is a widely used agglomerative hierarchical clustering method. Nevertheless it not an incremental algorithm and therefore suitable for many real application areas where all data available at the beginning of process. Some authors proposed variants SAHN. Their goal was to obtain same results in environments. This approach practical since frequently must rebuild hierarchy, or big part it, often leads completely different structures. We propose novel algorithm, called SIHC, that updates...
The Fast Fourier Transform (FFT) is an essential primitive that has been applied in various fields of science and engineering. In this paper, we present a study the Nvidia's cuFFT library - proprietary FFT implementation for Graphics Processing Units to identify impact two configuration parameters have its execution. One useful feature it can be used efficiently calculate several FFTs at once. work analyse effect on memory consumption execution time order find trade-off. Another important...