291. Machine learning heralding a new development phase in molecular dynamics simulationsEva Prašnikar, Martin Ljubič, Andrej Perdih, Jure Borišek, 2024, review article Keywords: molecular dynamics simulations, machine learning, deep learning, artificial intelligence Full text (file, 4,40 MB) This document has more files! More... |
292. Differentiating viral and bacterial infectionsGregor Gunčar, Matjaž Kukar, Tim Smole, Sašo Moškon, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Notar, Manca Köster, Marjeta Tušek Jelenc, Žiga Osterc, Marko Notar, 2024, original scientific article Keywords: viruses, bacteria, machine learning Full text (file, 3,89 MB) This document has more files! More... |
293. Creating AI business value through BPM capabilitiesAleš Zebec, Mojca Indihar Štemberger, 2024, original scientific article Keywords: business process, information technology, artificial intelligence, IT business value, firm performance, business process automation, business process innovation, organisational learning, BPM capabilities, business process performance Full text (file, 2,21 MB) This document has more files! More... |
294. Towards machine learned generative designLuka Gradišar, Matevž Dolenc, Robert Klinc, 2024, original scientific article Keywords: computational design, generative design, machine learning, optimization, surrogate modelling Full text (file, 8,89 MB) This document has more files! More... |
295. Deep Face DecoderJanez Križaj, Richard O. Plesh, Mahesh Banavar, Stephanie Schuckers, Vitomir Štruc, 2024, original scientific article Keywords: deep face templates, template inversion, face recognition, deep learning, explainability, interpretability Full text (file, 6,68 MB) This document has more files! More... |
296. 3D-Var data assimilation using a variational autoencoderBoštjan Melinc, Žiga Zaplotnik, 2024, original scientific article Keywords: meteorology, data assimilation, machine learning, neural networks, variational autoencoder, 3D-Var, analysis increments, background errors Full text (file, 30,31 MB) This document has more files! More... |
|