|
Size: 1936
Comment:
|
Size: 2201
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 26: | Line 26: |
| * '''Group ICA''' [[attachment:MLBE14_ica.pdf]] (additional material: [[attachment:MLBE14_icaAdditional.pdf]]) ---- /!\ '''Edit conflict - other version:''' ---- |
|
| Line 27: | Line 30: |
---- /!\ '''Edit conflict - your version:''' ---- ---- /!\ '''End of edit conflict''' ---- |
Block-Seminar "Machine Learning for Biomedical Engineering"
Termine und Informationen
Erster Termin für Themenvergabe |
Montag, 28.04.2014, 10:00 in MAR 4.033 |
Verantwortlich |
Prof. Dr. Klaus-Robert Müller |
Dozent: |
Wojciech Samek (wojciech.samek@tu-berlin.de, Raum MAR 4.060) |
Sprache |
Englisch |
This seminar takes a closer look at specific applications of machine learning algorithms in the field of biomedical engineering.
Students will read, understand, evaluate and present selected research papers on machine learning methods in different applications settings. At the end of the semester, each student will present his/her topic in a 20 min talk (+ 10 min discussion) in English.
The topics of the seminar are:
Brain–computer interfaces MLBE14_bci.pdf (additional material: MLBE14_bci.zip)
Bag-of-words representation MLBE14_bow.pdf
Analysis of Changes MLBE14_change.pdf
Image-Based Cytometry MLBE14_cytometry.pdf
ECG Analysis MLBE14_ecg.pdf
Myoelectric Control of Prostheses MLBE14_emg.pdf
Fingerprints MLBE14_fingerprint.pdf
Histopathological Image Analysis MLBE14_histo.pdf
Hidden Markov Models MLBE14_hmm.pdf
Group ICA MLBE14_ica.pdf (additional material: MLBE14_icaAdditional.pdf)
![/!\](/moin_static199/modern/img/alert.png "/!\"){kind=small}
Edit conflict - other version:
Group ICA MLBE14_ica.pdf
Edit conflict - your version:
End of edit conflict
Monte Carlo Methods MLBE14_mc.pdf
Analysis of Microarray Data MLBE14_microarray.pdf
Quality assessment using EEG MLBE14_quality.pdf
Segmentation of MRI MLBE14_mri.pdf
Biomedical Sensors MLBE14_sensors.pdf
Wavelets Analysis MLBE14_wavelets.pdf