A5055703518- Data Mining Algorithms and Applications
- Rough Sets and Fuzzy Logic
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Online Learning and Analytics
- Time Series Analysis and Forecasting
- Imbalanced Data Classification Techniques
- Interprofessional Education and Collaboration
- Healthcare Policy and Management
- Data Stream Mining Techniques
- Semantic Web and Ontologies
- Intelligent Tutoring Systems and Adaptive Learning
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Algorithms and Data Compression
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Recommender Systems and Techniques
- Machine Learning and Data Classification
- Image Retrieval and Classification Techniques
- Evolutionary Algorithms and Applications
- Network Security and Intrusion Detection
- EEG and Brain-Computer Interfaces
- Advanced Text Analysis Techniques
- Complex Network Analysis Techniques
University of Lisbon
2009-2024
Instituto Politécnico de Lisboa
2009-2024
University of Beira Interior
2024
Instituto Superior Técnico
2001-2023
Universidade Nova de Lisboa
2021
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2005-2012
Abstract Modelling students' behaviours has reached a status that can only be overcome by improving the ability of predicting results on teamwork. Indeed, teamwork is an important piece learning process, but understanding their mechanisms and achieved far from being solved traditional classifiers. In this paper, we address problem results, propose recommender system suggests new teams, in context given curricular unit. Any student, who looking for team, may use system; particular, he ask...
Measuring evocative emotions in affective interactions has become a critical step for effective engagements with computers. Electro dermal activity is believed to accurately isolate sympathetic responses, revealing paths excitement, attention and arousal, differentiate emotional states. However, the inability deal varying amplitude length of responses across individuals led its use as simple intensity barometer. Thus, two questions remain unanswered. To which extent can electro be used...
Modeling the dependencies among multiple temporal attributes derived from integrated healthcare databases represents an unprecedented opportunity to support medical and administrative decisions. However, existing predictive models are not yet able successfully anticipate health conditions based on (sparse) time sequences repositories of health-records. To tackle this problem, we propose new learn expressive structure, a time-enriched item set sequence, which captures both cross-attribute...
Expanding loco-regional nodes harvesting is expected to increase survival. This improvement may be associated stage migration (SM). However, the great bulk of harvested lymph observed in large dissections negative. M&M: 830 patients who received R0 gastrectomy for adenocarcinoma were included. pN+ with <26 (n = 209) included a simulation "offer 26 nodes" - SM (proportional and exponential based) was simulated analysed through machine learning algorithms. Overall Survival (OS), native stages,...
One important challenge in data mining is the ability to deal with complex, voluminous and dynamic data. Indeed, due great advances technology, many real world applications appear form of continuous streams, as opposed traditional static datasets. Several techniques have been proposed explore particular for discovery frequent co-occurrences However, one common criticisms pointed out pattern fact that it generates a huge number patterns, independent user expertise, making very hard analyze...