• Deep magnitude management of clinical code embeddings to predict unplanned hospital readmissionsBignoumba, Nzamba; Bertl, Markus; Mellouli, Nedra; Ben Yahia, SadokResearch Square2024 / 32 p. : ill https://doi.org//10.21203/rs.3.rs-4705729/v1
• Evaluation of deep learning-based depression detection using medical claims dataBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkArtificial intelligence in medicine2024 / art. 102745, 16 p. : ill https://doi.org/10.1016/j.artmed.2023.102745
• Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987
• A new efficient ALignment-driven Neural Network for mortality prediction from irregular multivariate time series dataBignoumba, Nzamba; Mellouli, Nedra; Ben Yahia, SadokExpert systems with applications2024 / art. 122148 https://doi.org/10.1016/j.eswa.2023.122148
• Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajalBignoumba, Nzamba2024 https://doi.org/10.23658/taltech.49/2024 https://www.ester.ee/record=b5700796*est https://digikogu.taltech.ee/et/Item/19abb999-27b2-46a1-8fe6-1f1c43a5fe0d
• Stacking deep-learning model, stories and drawing properties for automatic scene generationElloumi, Samir; Bignoumba, NzambaInternational journal of advanced computer science and applications2023 / p. 894-911 https://doi.org/10.14569/IJACSA.2023.0140197 https://www.scopus.com/sourceid/21100867241 https://www.scopus.com/record/display.uri?eid=2-s2.0-85147729783&origin=inward&txGid=90c1b6b502a881f73013dad7d8bea3f5 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20ADV%20COMPUT%20SC&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000932471900001