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| ||'''Termin für Präsentation'''|| Dienstag, 02.07.2014, 9:00 in MAR 4.044 || | |
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| At the end of the semester, each student will present his/her topic in a 20 min talk (+ 10 min discussion) in English. | At the end of the semester, each student will present his/her topic in a 25-30 min talk (+ questions) in English. |
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| * '''Brain–computer interfaces in neurological rehabilitation''' [[attachment:MLBE14_bci.pdf]] (additional material: [[attachment:MLBE14_bci.zip]]) * '''Bag-of-words representation for biomedical time series''' [[attachment:MLBE14_bow.pdf]] * '''Change-Point Detection''' [[attachment:MLBE14_change.pdf]] |
* '''Brain–computer interfaces''' [[attachment:MLBE14_bci.pdf]] (additional material: [[attachment:MLBE14_bci.zip]]) * '''Bag-of-words representation''' [[attachment:MLBE14_bow.pdf]] * '''Analysis of Changes''' [[attachment:MLBE14_change.pdf]] |
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| * '''Group ICA''' [[attachment:MLBE14_ica.pdf]] (additional material: [[attachment:MLBE14_icaAdditional.pdf]]) | |
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| * '''Analysis of Microarray Data''' [[attachment:MLBE14_microarray.pdf]] * '''Quality assessment using EEG''' [[attachment:MLBE14_quality.pdf]] |
* '''Analysis of Microarray Data''' [[attachment:MLBE14_microarray.pdf]] (additional material: [[attachment:MLBE14_microarrayAdditional.pdf]]) * '''Quality assessment using EEG''' [[attachment:MLBE14_quality.pdf]] (additional material: [[attachment:MLBE14_qualityAdditional.pdf]]) |
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| * '''Biomedical Sensors''' [[attachment:MLBE14_sensors.pdf]] | * '''Biomedical Sensors''' [[attachment:MLBE14_sensors.pdf]] (additional material: [[attachment:MLBE14_sensorsAdditional.pdf]]) |
Block-Seminar "Machine Learning for Biomedical Engineering"
Termine und Informationen
Erster Termin für Themenvergabe |
Montag, 28.04.2014, 10:00 in MAR 4.033 |
Termin für Präsentation |
Dienstag, 02.07.2014, 9:00 in MAR 4.044 |
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 25-30 min talk (+ questions) 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)
Monte Carlo Methods MLBE14_mc.pdf
Analysis of Microarray Data MLBE14_microarray.pdf (additional material: MLBE14_microarrayAdditional.pdf)
Quality assessment using EEG MLBE14_quality.pdf (additional material: MLBE14_qualityAdditional.pdf)
Segmentation of MRI MLBE14_mri.pdf
Biomedical Sensors MLBE14_sensors.pdf (additional material: MLBE14_sensorsAdditional.pdf)
Wavelets Analysis MLBE14_wavelets.pdf