Subscribe to this collection to receive daily e-mail notification of new additions

Issue Date	Title	Author(s)
Jan-2020	Interpretability of deep learning methods in carotid artery image classification and semantic segmentation	Fady, Christopher; Castela Ibáñez, Susana
30-Jun-2020	Human explainability through an auxiliary Neural Network	Garcia Sánchez, Albert
25-Jun-2020	Deep learning for predictive maintenance of rolling bearings	Domingo Colomer, Laia
30-Jun-2020	Validation of White Matter Hyperintensities automatic segmentation methods	Arcas Cuerda, Àlex
10-Jul-2019	Particle Swarm Optimization (PSO) and two real world applications	Prat Martí, Albert
2-Sep-2019	De novo design of small molecules using variational and conditional variational autoencoders	Zavodnik, Ŝpela
30-Jun-2019	Particle Swarm Optimization (PSO) and two real world applications	Valls Canudas, Núria
2-Sep-2019	GR2ASP: Guided re-identification risk analysis platform	Rolandus Hagedoorn, Tom
1-Jul-2019	Man-made structures detection from space	Ribas Fernández, Eduard
1-Jul-2019	Agent-based models for assessing the risk of default propagation in interconnected sectorial financial networks	Van Amerongen, Philippe; Mir Mora, Ramon; Sánchez de la Blanca Contreras, Sergi
2-Sep-2019	Non-acted multi-view audio-visual dyadic interactions. Project master thesis: multitask learning for facial attributes analysis	Masdeu Ninot, Andreu
2-Sep-2019	Applying deep learning for food image analysis	Marrugat Torregrosa, Gerard
28-Jun-2019	Generating synthetic intestine images	Ivanov, Stefan
2-Sep-2019	Non-acted multi-view audio-visual dyadic interactions. Project non-verbal emotion recognition in dyadic scenarios and speaker segmentation	Lázaro Herrasti, Pablo
1-Jul-2019	Bioactivity-oriented de novo design of small molecules by conditional variational autoencoders	Castrelo Cid, Alex
2-Sep-2019	Non-acted multi-view audio-visual dyadic Interactions. Project master thesis: multi-modal local and recurrent non-verbal emotion recognition in dyadic scenarios	Barco Terrones, Rubén
2-Sep-2018	Proteomics analysis of septic and cardiogenic shock	Zambrana Seguí, Carme
2-Sep-2018	A study of escoltes catalans census	Solans Noguero, David
2-Sep-2018	Using recurrent neural networks to predict the time for an event	Maragall Cambra, Manel
1-Jul-2018	Sentiment analysis of student evaluation of teaching	Ikauniece, Indra

Recent Submissions

Optimizing Product pricing and sales forecasting through advanced data science: a case study at Schneider Electric Iberia

Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia

Using deep learning techniques in click-through rate prediction focusing on a DeepFM model and a comparative analysis of the volatility of prediction vectors of different models

Using deep learning techniques in click-through rate prediction, focusing on a deep and cross network and an analysis on the use of different hashing buckets

Unleashing the power of communication: exploring the dynamics of slack channel networks and project success