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Deep Learning Methods for Multimodal Action Recognition

Speaker: Nuno Garcia.

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Making Data Science Personal

Speaker: Simon Harper (University of Manchester).

Abstract: We will discuss how data science can be applied to precision medicine and how this requires a different way of thinking and understanding than we typically exhibit when looking at big data.

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Resource-Aware Session Types for Digital Contracts

Speaker: Ankush Das (Carnegie Mellon University).

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Online Experiments with Volunteers: Lessons Learned from Eight Years of LabintheWild

Speaker: Katharina Reinecke (University of Washington).

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Computational Modeling in Human-Computer Interaction

Speaker: Nikola Banovic (University of Michigan).

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Existence and Complexity of Equilibria in Congestion Games

Speaker: Diogo Poças.

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Data is People: Ethics and Education for Data Science

Por Casey Fiesler (University of Colorado Boulder).

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Generating and Ranking Candidate Data Models from Background Knowledge

Por Daniela Oliveira.

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Ciências ULisboa lidera plataforma SATO

Melhorar o funcionamento e a otimização energética de edifícios e equipamentos, resolvendo algumas das suas limitações, é um dos objetivos do projeto “Self Assessment Towards Optimization of Building Energy (SATO)”, liderado pela Ciências ULisboa e que tem início marcado para o próximo mês de outubro. O projeto integra 16 parceiros europeus da academia e dos sectores público e empresarial e representa a primeira grande colaboração científica entre o LASIGE e o IDL.

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SafeComp 2020: 39th International Conference on Computer Safety, Reliability and Security

Between 15 and 18 September 2020, occurs the SafeComp 2020: 39th International Conference on Computer Safety, Reliability and Security, which is organized by members of LASIGE (António Casimiro, Bernardo Ferreira, Ibéria Medeiros, Pedro Ferreira) and whose general chair and program co-chair is António Casimiro.

This year the key theme of the conference is "Safe AI in critical systems", with around 150 participants from 18 countries registering.

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