Client Recruitment for Federated Learning in ICU Length of Stay Prediction. - Vincent Scheltjens; Lyse Naomi Wamba Momo; Wouter Verbeke; Bart De Moor (e-Science, 2023)

Correlation Clustering Adapted for Cell Site Management of Mobile Networks in Developing Countries. - Ado Adamou Abba Ari; Yekoniya Ndjekiltemai; Jocelyn Edinio Zacko Gbadouissa; Arouna Ndam Njoya; Lyse Naomi Wamba Momo; Ousmane Thiare; Sondès Khemiri-Kallel; Abdelhak Mourad Guéroui (SAFER-TEA, 2023)

AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages. - Jiayi Wang; David Ifeoluwa Adelani; Sweta Agrawal; Ricardo Rei; Eleftheria Briakou; Marine Carpuat; Marek Masiak; Xuanli He; Sofia Bourhim; Andiswa Bukula; Muhidin Mohamed; Temitayo Olatoye; et al. (CoRR, 2023)

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages. - Jiayi Wang; David Ifeoluwa Adelani; Sweta Agrawal; Marek Masiak; Ricardo Rei; Eleftheria Briakou; Marine Carpuat; Xuanli He; Sofia Bourhim; Andiswa Bukula; Muhidin Mohamed; Temitayo Olatoye; et al. (NAACL-HLT, 2024)

Length of stay prediction for hospital management using domain adaptation. - Lyse Naomi Wamba Momo; Nyalleng Moorosi; Elaine O. Nsoesie; Frank E. Rademakers; Bart De Moor (Eng. Appl. Artif. Intell., 2024)

Target informed client recruitment for efficient federated learning in healthcare. - Vincent Scheltjens; Lyse Naomi Wamba Momo; Wouter Verbeke; Bart De Moor (BMC Medical Informatics Decis. Mak., 2024)

Understanding deep learning models for Length of Stay prediction on critically ill patients through latent space visualization. - Lyse Naomi Wamba Momo; Vincent Scheltjens; Wouter Verbeke; Frank E. Rademakers; Bart De Moor (Comput. Methods Programs Biomed., 2025)