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June 2018




Registration link: https://dei.fe.up.pt/eventos/meta-des-a-dynamic-ensemble-selection-framework-using-meta-learning/ Speaker: Robert Sabourin, U. du Quebec, Canada (http://profs.etsmtl.ca/rsabourin/) Abstract: Dynamic ensemble selection systems work by estimating the level of competence of each classifier from a pool of classifiers. Only the most competent ones are selected to classify a given test sample. This is achieved by defining a criterion to measure the level of competence of a base classifier, such as, its accuracy in local regions of the feature space around the query instance. However, using only one…




Registration link: https://dei.fe.up.pt/eventos/the-value-of-evaluation-what-does-my-machine-learning-metric-tell-me/ Speaker: Peter Flach, University of Bristol, UK (http://people.cs.bris.ac.uk/~flach/) Abstract: Machine learning, broadly defined as data-driven technology to enhance human decision making, is already in widespread use and will soon be ubiquitous and indispensable in all areas of human endeavour. Data is collected routinely in all areas of significant societal relevance including law, policy, national security, education and healthcare, and machine learning informs decision making by detecting patterns in the data. Achieving transparency, robustness and trustworthiness of these…




Single-cell sequencing technology holds the promise of unravelling cell heterogeneities hidden in ubiquitous bulk-level analyses. However, limitations of current experimental methods pose new obstacles that prevent accurate conclusions from being drawn. To overcome this, researchers have developed computational methods which aim at extracting the biological signal of interest from the noisy observations. In this talk, we will focus on probabilistic models designed for this task. First, we will overview the difficulties associated with the data. Then, we look at some…

January 2019




Dear colleagues, PhD@UC is organizing a Seminar on Introduction to Data Visualization, for scientific communication next January 23 , Wednesday, 14h30 to 16h00, in Casa Costa Alemão / III - Pólo 2. The seminar will be presented by Thiago Sobral, a PhD student in Transportation Systems in FEUP, in the MIT Portugal Program. The seminar introduces guidelines for data visualization based on theory and good practices. It also discusses traditional and recent visualization techniques. Participants will be given a bird’s-eye…

May 2019




“A dynamical systems’ perspective of the expectation-maximization-like algorithms” é o tema do ‘Priberam Machine Learning Lunch Seminar’  que terá lugar no dia 30 de maio de 2019, às 13h. O professor Sérgio Pequito (Department of Industrial and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA) é o orador convidado. Thursday, May 30th 2019, 13h00 - 14h00 Sérgio Pequito (Rensselaer Polytechnic Institute) A dynamical systems’ perspective of the expectation-maximization-like algorithms Instituto Superior Técnico - Alameda Abstract: The Expectation-Maximization (EM) algorithm is one of the most popular…

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