A [rede.APPIA] é a lista de distribuição de correio electrónico da APPIA, com o objectivo de divulgar notícias de interesse para a comunidade científica da Inteligência Artificial, disponível através do endereço rede [at] appia [ponto] pt.
DaSSWeb – Data Science and Statistics Webinar
Tuesday, 23 February, 14:30
Speaker: Anabela Carneiro (FEP, U.Porto and CEF.UP)
Title: Decomposition Methods in Economics to Assess which Covariates Matter
Zoom link: videoconf-colibri.zoom.us/j/81745596464
Abstract: It is very common in empirical research to estimate several regression models to check the robustness of the results or to evaluate how the estimate of the coefficient of interest changes as we add a set of covariates to a baseline model. For example, in explaining the sources of the gender wage gap, very often researchers estimate multiple wage equations in order to evaluate how the gender-dummy coefficient changes as individual and job characteristics are added to the model and then attribute this difference to the new set of variables included in the model. This approach is not exempt of criticism as the order in which covariates are added is not irrelevant. In this seminar, I will present a decomposition technique, proposed by Gelbach (2016), that appeals to the omitted variable bias formula to unambiguously disentangle the contribution of each covariate to the change in the estimate of the coefficient of the variable under scrutiny. This procedure was applied to matched employer-employee data in Portugal to decompose the sources of the wage losses of displaced workers (Raposo, Portugal & Carneiro, 2021).
The Fundamentals of VFX in Foundry Nuke course aims to provide the participants with technical skills, enhancing their abilities both analytical and aesthetic competences in the development, production and workflow of Digital Compositing and VFX for Digital Games and Films, being able to manage both, the software technical and creative components within the characteristics inherent to this process, as well as endow the participant with analytical knowledge of the workflow with Nuke. We will also study the VFX Pipelines, rendering, formats, finishing and we will be taking a look at the end, for the rules of a professional showreel in Digital Compositing.
Detailed information about this advanced course (including summary/description of the course, calendar, study plan, registration details, contacts, among other information) is available on the Advanced Courses website: Fundamentals of VFX in Foundry Nuke
Richi Páramo, a professional with 16 years of experience in the VFX Industry, has worked in international productions such as Interstellar, Deadpool and The Mandalorian among others. In addition to of being a VFX Artist Compositor, he is also Educational Consultant for Foundry, he is recognized as official Nuke instructor and he has trained companies such as Sony Playstation, MPC, Televisa and Framestore. He has created an affective training method for the ForgeVFX School and also at the moment he is Co-Director of the Master Degree in Compositing for VFX at the U-Tad University of Madrid.
The Natural Language Processing course will focus on the development of tools to process texts in natural language. While most examples and tools will be presented with emphasis to the Portuguese language, the concepts are language independent and can be applied to other languages. The main goals of the course is for the participants to understand the different tasks of processing text, to extract information and perform reasoning on it. Classes will be mainly hand-ons, using freely available tools applied to specific contexts.
Detailed information about this advanced course (including summary/description of the course, calendar, study plan, registration details, contacts, among other information) is available on the Advanced Courses website: Natural Language Processing
Computers are improving their ability to express and recognize affect. This might be the first step for the development of emotional computers. This course intends to provide participants with an overview of how emotions are represented in the brain and how they can be perceived on data resulting from human behaviour and physiology. Emotional metrics can be extracted from text (sentiment analysis), voice, facial images and biometric data such as electroencephalogram, electrodermal activity and heart rate.
Detailed information about this advanced course (including summary/description of the course, calendar, study plan, registration details, contacts, among other information) is available on the Advanced Courses website: Affective Computing