Defesa de Tese: Marcos Vinícius de Freitas Borges
Data da publicação: 23 de janeiro de 2025. Categoria: Defesas de Tese, Notícias
Título: A Syntactic-Semantic Analysis Method for Automatic API Connection Points Discovery in Systems-of-Information Systems Data: 30/01/2025 Horário: 14h Local: Google Meet: https://meet.google.com/eny-adcw-qrt Resumo: Establishing interoperability links is a significant challenge in systems-of-information systems (SoIS) engineering. Even with constituent systems (CS) interfaces documentation, achieving such links is a difficult, time-consuming, and error-prone task that requires attention […]
Defesa de Tese: Paulo Artur de Sousa Duarte
Data da publicação: 25 de outubro de 2024. Categoria: Defesas de Tese, Notícias
Título: RECITAAL: REquirement Catalog of InteroperabiliTy Ambient Assisted Living systems Data: 01/11/2024 Horário: 14h00 Local: Sala de Seminários do GREat – Bloco 942-A Resumo: With the gradual increase in the population of older adults in the world, some initiatives have been created that use technologies and concepts from recent paradigms (e.g. Internet of Things […]
Defesa de Tese: Iago Castro Chaves
Data da publicação: 21 de agosto de 2024. Categoria: Defesas de Tese, Notícias
Título: Differentially Private Selection using Smooth Sensitivity Data: 28/08/2024 Horário: 09h30 Local: Sala de Seminários – Bloco 952 Resumo: Differentially private selection mechanisms offer strong privacy guarantees for queries whose canonical outcome is the top-scoring element r within a finite set R according to a dataset-dependent utility function. While selection queries are pervasive throughout data […]
Defesa de Tese: André Luís da Costa Mendonça
Data da publicação: 14 de agosto de 2024. Categoria: Defesas de Tese, Notícias
Título: PEG: Local Differential Privacy for Edge-Attributed Graphs Data: 23/08/2024 Horário: 14h Local: Sala de Seminários – Bloco 952 Resumo: Edge-attributed graphs are a particular class of graphs designed to represent networks whose edge content indicates a relationship between two nodes. The study of edge-attributed graphs finds applications in diverse fields, such as anomaly […]
Defesa de Tese: Alan Lucas Silva Matias
Data da publicação: 14 de agosto de 2024. Categoria: Defesas de Tese, Notícias
Título: Deep Representation Learning and Amortized Inference for Gaussian Processes Data: 23/08/2024 Horário: 09h00 Local: Sala de Seminários – Bloco 952 e Google Meet (meet.google.com/dej-nwbg-tfi) Resumo: Deep Kernel Learning (DKL) enables using Gaussian Process (GP) models for complex data domains (e.g. images and graphs) by coupling standard kernels and deep neural networks. However, training DKL is […]
