Erscheinungsdatum | Titel | Beteiligte Person(en) |
21-Feb-2021 | Explainable deep learning for medical time series data | Frick, Thomas; Glüge, Stefan; Rahimi, Abbas; Benini, Luca; Brunschwiler, Thomas |
16-Nov-2020 | The collaborative learning cellular automata density classification problem | Schüle, Martin |
16-Nov-2020 | Echo state network with chaos noise for time series prediction | Uwate, Yoko; Schüle, Martin; Ott, Thomas; Noshio, Yoshifumi |
Nov-2020 | Self-organized division of labor in networks of forecasting models for time series with regime switches | Gygax, Gregory; Füchslin, Rudolf Marcel; Ott, Thomas |
Nov-2020 | Impact of noise and network size in coupled maps with asymmetric influence amplification | Miniussi, Myriam; Ott, Thomas; Fellermann, Harold |
15-Okt-2020 | Towards creating a new triple store for literature-based discovery | Koroleva, Anna; Anisimova, Maria; Gil, Manuel |
2-Sep-2020 | A hybrid deep learning approach for forecasting air temperature | Gygax, Gregory; Schüle, Martin |
21-Jan-2020 | Influence of input image configurations on output of a convolutional neural network to detect cerebral aneurysms | Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto |
Jan-2020 | Comparison of statistical learning approaches for cerebral aneurysm rupture assessment | Detmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven, et al. |