Search Results for author: Gisele Miranda

Found 2 papers, 2 papers with code

Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning

1 code implementation14 Feb 2024 Sina Borzooei, Leonardo Scabini, Gisele Miranda, Saba Daneshgar, Lukas Deblieck, Piet De Langhe, Odemir Bruno, Bernard De Baets, Ingmar Nopens, Elena Torfs

Activated sludge settling characteristics, for example, are affected by microbial community composition, varying by changes in operating conditions and influent characteristics of wastewater treatment plants (WWTPs).

Data Augmentation Transfer Learning

Adding Seemingly Uninformative Labels Helps in Low Data Regimes

2 code implementations ICML 2020 Christos Matsoukas, Albert Bou I Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith

Evidence suggests that networks trained on large datasets generalize well not solely because of the numerous training examples, but also class diversity which encourages learning of enriched features.

Tumor Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.