The paper “Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness”, co-authored by LASIGE’s PhD student Nuno Rodrigues has been published in Nature’s Scientific...
Title: Kind Inference for the FreeST Programming Language Speaker: Bernardo Almeida, LASIGE/DI-FCUL Date: June 6, 2023, 16h Where: Room 6.2.44 Abstract: In this seminar, I will present a kind inference algorithm for the FreeST programming language. The input to the...
The paper “Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis”, authored by LASIGE’s PhD student Diogo F. Soares and Integrated Researcher Sara C. Madeira, has been...
The paper “The use of machine learning in species threats and conservation analysis” authored by Vasco Branco, LASIGE PhD student at the University of Helsinki, Luís Correia, LASIGE integrated researcher, and Pedro Cardoso (researcher at the University of Helsinki)...
The paper “Explainable representations for relation prediction in knowledge graphs”, co-authored by LASIGE’s researchers Rita Sousa, Sara Silva, and Cátia Pesquita, has been accepted at the 20th International Conference on Principles of Knowledge...
Title: Continuum Computing for ML Based Self Adaptive IoT Applications Speaker: Nabil Abdennadher (University of Applied Sciences, Western Switzerland) When: June 19, 2023, 11:00 Where: FCUL, C6.3.27 Abstract: The proliferation of sensing device technologies, and the...
