********** Paper #18: Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach (2024) Akujuobi et al. When: 13:30PM, 21/Nov/2024 Where: C6.3.26 ********** Don’t forget to read the paper beforehand and come prepared...
Title: Mingling with the Good to Backdoor Federated Learning Speaker: Nuno Neves, LASIGE/DI-FCUL Date: November 22nd, 14h30 Where: FCUL, 6.3.27 Abstract: Federated learning (FL) is a decentralized machine learning technique that allows multiple entities to jointly...
Title: Multimodal Learning for Breast Cancer Risk Prediction Speaker: João Mendes, IBEB & LASIGE Date: November, 29th, 14h30 Where: FCUL, 6.3.27 Abstract: Breast cancer, a leading cause of cancer-related morbidity, demands innovative approaches for early detection...
LASIGE is very proud and honored to congratulate its seven recent PhD graduates: Diogo Lima, “A Geographical-Aware State Deployment Service for Fog Computing”, supervised by Hugo Miranda; Diogo Soares, “Triclustering Three-way Temporal and...
On 11 December 2024, LASIGE held the second session of ‘LASIGE Talks’, a fortnightly event designed to showcase recently awarded publications or cutting-edge work in progress by researchers at the research centre, consolidating the scientific culture of the LASIGE...