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Issue Date	Title	Author(s)
Jun-2023	Optimizing Product pricing and sales forecasting through advanced data science: a case study at Schneider Electric Iberia	Segura i Pons, Jordi
30-Jun-2023	Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia	Satorra Herbera, Pau
30-Jun-2023	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	O'Hea, JD
30-Jun-2023	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	Odding, Celine
30-Jun-2023	Unleashing the power of communication: exploring the dynamics of slack channel networks and project success	Muse Woldesembet, Eyuel
30-Jun-2023	Machine translation evaluation metrics benchmarking: from traditional MT to LLMs	López Caro, Álvaro
30-Jun-2023	Towards equitable deep learning in dermatology: assessing lesion classification fairness across skin tones	Kalb López, Thorsten Albert
3-Sep-2023	Predicting human perceptual decisions from neural activity	Ji, Junjie
30-Jun-2023	Transformers in depression detection from semi-structured psychological Interviews	Honorato López, Iker
30-Jun-2023	Towards fair machine learning in healthcare: ensuring non-discrimination for disease prediction	Herron Mulet, Claudia
30-Jun-2023	Selection of predictors for peripheral arterial disease using tree-based algorithms	Gonçalves, Margarida
30-Jun-2023	Exploring the emergence of temperature concept within deep neural networks through next-frame image prediction	Gallego Racero, Dario
30-Jun-2023	Parametric learning of probabilistic graphical models from multi-sourced data	Catalán Cerezo, David
29-Jun-2023	Synthetic training data generation from a single image for enhanced breast cancer diagnosis	Buetas Arcas, Marta
30-Jun-2023	Exposome data drift: implications for machine learning based diabetes prediction	Brosten, Peter Hannagan
30-Jun-2023	Assessing VTE risk in cancer patients using deep learning synthetic data generation and domain adaptation techniques	Bech Sala, Sergi
30-Jun-2023	Multi-modal deep learning: application to integrative modelling of electrocardiography and cardiac imaging	Athanasopoulos, Nikolaos
17-Jan-2024	Can large language models replace human in speech analysis?	Gareta Casas, Pol
16-Jan-2024	Active Learning strategies for WCE images classification	Bardají Serra, Sara
15-Jan-2023	Applying AutoML techniques in drug discovery: systematic modelling of antimicrobial drug activity on a wide spectrum of pathogens	Torre García, Marcos de la

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