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May 2018

May

08

Lisbon

Abstract: Genetic testing has long been a major promise to foster personalized healthcare and personalized wellness. The major barrier to its success and massification is the gap between getting the genetic data and providing actionable advice, alongside the high cost of the tests themselves as well as data modelling challenges. Recent trends in genetic testing are showing strong signals that the adoption curve is about to grow significantly, particularly with the adoption of wellness genetic tests. Moreover, there is clear…

May

22

Lisbon

DESCRIPTION Abstract: We want to guess the position of a target, based only on how weakly or strongly its emitted wireless signal is received at a few places. Assuming usual probabilistic properties of wireless channels, we proceed to frame this problem as a maximum likelihood (ML) estimation problem. The ML estimate, however, is deceptively hard to compute, for it lies in the bowels of a difficult nonconvex minimisation problem. With dim hopes of quickly computing the global minimiser, we honourably…

June 2018

Jun

04

Lisbon

Big and small corporations are lost trying to figure out who are the main Key Opinion Leaders of their industry in Social Media. What would a company need to do in order to let their marketing departments search through all social media data? Let’s discuss during this session the experience of building a company dedicated to locating KOPs for their products based on what their target audience is saying. Binfluencer, a Startup based in Madrid has taken this challenge and…

Jun

05

Lisbon

Booking cancellations contribute negatively to the production of accurate forecasts, a critical tool in the hospitality industry. To lessen this influence, hotels implement rigid cancellation policies and overbooking strategies, which in turn can negatively impact revenue and the hotel’s social reputation. To tackle the uncertainty arising from booking cancellations, we combined data from eight hotels’ bookings management systems with data from other sources (weather, holidays, events, social reputation, and online prices/inventory) to develop booking cancellation prediction models. To test these…

Jun

13

Porto

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…

Jun

13

Porto

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…

Jun

26

Lisbon

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

Jan

23

Coimbra

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

May

30

Lisbon

“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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