Jukka Kortelainen

发表

A Correlation-Driven Mapping For Deep Learning application in detecting artifacts within the EEG

Nooshin Bahador, Kristo Erikson, Jouko Laurila, 2020, Journal of neural engineering.

TRECVID 2004 Experiments at MediaTeam Oulu

Jukka Kortelainen, Mika Rautiainen, Matti Hosio, 2004, TRECVID.

EEG-based recognition of video-induced emotions: Selecting subject-independent feature set

Jukka Kortelainen, Tapio Seppänen, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic Parametrization of Somatosensory Evoked Potentials With Chirp Modeling

Hasan Al-Nashash, Jukka Kortelainen, Kai Noponen, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Experimental comparison of connectivity measures with simulated EEG signals

Jukka Kortelainen, Tapio Seppänen, Minna J. Silfverhuth, 2012, Medical & Biological Engineering & Computing.

Multimodal emotion recognition by combining physiological signals and facial expressions: A preliminary study

Matti Pietikäinen, Jukka Kortelainen, Tapio Seppänen, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing

Nooshin Bahador, Kristo Erikson, Jouko Laurila, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

High-Frequency Electroencephalographic Activity in Left Temporal Area Is Associated with Pleasant Emotion Induced by Video Clips

Jukka Kortelainen, Tapio Seppänen, Eero Väyrynen, 2015, Comput. Intell. Neurosci..

Assessing EEG slow wave activity during anesthesia using Hilbert-Huang Transform

Jukka Kortelainen, Eero Väyrynen, J. Kortelainen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic classification of penicillin-induced epileptic EEG spikes

Jukka Kortelainen, Eila Sonkajarvi, Kalervo Suominen, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Correlation between muscular and nerve signals responsible for hand grasping in non-human primates

Nitish V. Thakor, Jukka Kortelainen, Shih-Cheng Yen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classifier-based learning of nonlinear feature manifold for visualization of emotional speech prosody

Jukka Kortelainen, Tapio Seppänen, Eero Väyrynen, 2013, IEEE Transactions on Affective Computing.

Novel Modeling of Somatosensory Evoked Potentials for the Assessment of Spinal Cord Injury

Hasan Al-Nashash, Jukka Kortelainen, Hasan Mir, 2018, IEEE Transactions on Biomedical Engineering.

Depth of Anesthesia During Multidrug Infusion: Separating the Effects of Propofol and Remifentanil Using the Spectral Features of EEG

Jukka Kortelainen, Tapio Seppänen, Eero Väyrynen, 2011, IEEE Transactions on Biomedical Engineering.

EEG-based detection of awakening from isoflurane anesthesia in rats

Nitish V. Thakor, Jukka Kortelainen, Tapio Seppänen, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Invariant trajectory classification of dynamical systems with a case study on ECG

Jukka Kortelainen, Tapio Seppänen, Kai Noponen, 2009, Pattern Recognit..

Classification of phases of hand grasp task by the extraction of miniature compound nerve action potentials (mCNAPs)

Nitish V. Thakor, Jukka Kortelainen, Shih-Cheng Yen, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Multi-modal emotion analysis from facial expressions and electroencephalogram

Matti Pietikäinen, Guoying Zhao, Antti Moilanen, 2016, Comput. Vis. Image Underst..

Using Hilbert-Huang Transform to assess EEG slow wave activity during anesthesia in post-cardiac arrest patients

Jouko Laurila, Tero Ala-Kokko, Jukka Kortelainen, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Effect of isoflurane on somatosensory evoked potentials in a rat model

Hasan Al-Nashash, Nitish V. Thakor, Jukka Kortelainen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Morphology-preserving reconstruction of times series with missing data for enhancing deep learning-based classification

Jukka Kortelainen, Seppo Mustola, Nooshin Bahador, 2021, Biomed. Signal Process. Control..

Verbalization has regulatory influences on autonomic activity during recall of unpleasant experience

Jukka Kortelainen, Tapio Seppänen, Antti Rantanen, 2021, Speech Commun..

Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia

Jukka Kortelainen, Seppo Mustola, Nooshin Bahador, 2021, Inf. Fusion.

Deep learning-based classification of multichannel bio-signals using directedness transfer learning

Jukka Kortelainen, Nooshin Bahador, 2022, Biomed. Signal Process. Control..

The effect of anaesthesia on somatosensory evoked potential measurement in a rat model

Hasan Al-Nashash, Jukka Kortelainen, Ashwati Vipin, 2016, Laboratory animals.

Electrocardiogram quality classification based on robust best subsets linear prediction error

Jukka Kortelainen, Kai Noponen, Suvi Tiinanen, 2011, 2011 Computing in Cardiology.