J. Sinkkonen

发表

Gabor filters: an informative way for analysing event-related brain activity

R. Näätänen, H. Tiitinen, J. Sinkkonen, 1995, Journal of Neuroscience Methods.

Selective attention enhances the auditory 40-Hz transient response in humans

K. Reinikainen, R. Näätänen, H. Tiitinen, 1993, Nature.

Towards Optimal Recording and Analysis of the Mismatch Negativity

M. Tervaniemi, J. Sinkkonen, 2000, Audiology and Neurotology.

Test–retest reliability of mismatch negativity for duration, frequency and intensity changes

R. Ilmoniemi, M. Tervaniemi, R. Näätänen, 1999, Clinical Neurophysiology.

Language-specific phoneme representations revealed by electric and magnetic brain responses

R. Ilmoniemi, P. Alku, R. Näätänen, 1997, Nature.

A Block Model Suitable for Sparse Graphs

Samuel Kaski, Janne Sinkkonen, Juuso Parkkinen, 2009 .

Temporal window of integration of auditory information in the human brain.

R. Ilmoniemi, H. Yabe, M. Tervaniemi, 1998, Psychophysiology.

Visual cortex activation in blind humans during sound discrimination

R. Ilmoniemi, C. Standertskjöld-Nordenstam, R. Näätänen, 1995, Neuroscience Letters.

The mismatch negativity for duration decrement of auditory stimuli in healthy subjects.

M Huotilainen, R Näätänen, M. Tervaniemi, 1998, Electroencephalography and clinical neurophysiology.

Task effects on fatigue symptoms in overnight driving.

H Summala, H Häkkänen, J. Sinkkonen, 1999, Ergonomics.

A simple infinite topic mixture for rich graphs and relational data

Samuel Kaski, Janne Sinkkonen, Janne Aukia, 2008 .

Principle of Learning Metrics for Data Analysis

Samuel Kaski, Janne Sinkkonen, Samuel Kaski, 2004 .

RAPID COMMUNICATION Scalp-Recorded Optical Signals Make Sound Processing in the Auditory Cortex Visible?

Risto Näätänen, Monica Fabiani, Gabriele Gratton, 1999, NeuroImage.

COMPUTATIONAL BIOLOGY AND BIOINFORMATICS

Cigdem Demir, Alexander Schliep, John Hawkins, 2005 .

Analysis of Gene Expression Data Using Semi-Supervised Clustering

Samuel Kaski, Janne Sinkkonen, Petri Törönen, 2001 .

9th International Conference on Neural Information Processing (ICONIP'02), Singapore, November 18-22, 2002

Samuel Kaski, Janne Sinkkonen, Janne Peltonen, 2002 .

Modeling of relevance

Jarkko Venna, Samuel Kaski, Kai Puolamäki, 2008 .

Learning Metri s for Self-Organizing Maps

Samuel Kaski, Jaakko Peltonen, Janne Sinkkonen, 2001 .

Clustering Gene Expression Data by MutualInformation with Gene Fun tionSamuel Kaski

J. Sinkkonen, Janne Nikkil, 2001 .

Finite Sequential Information Bottleneck (fsIB)

Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski, 2003 .

Electrophysiological evidence for cross-modal plasticity in humans with early- and late-onset blindness.

R J Ilmoniemi, M Huotilainen, O Salonen, 1997, Psychophysiology.

Learning Metrics and Discriminative Clustering

Janne Sinkkonen, J. Sinkkonen, 2022 .

Clustering Based on Conditional Distributions in an Auxiliary Space

Samuel Kaski, Janne Sinkkonen, Samuel Kaski, 2002, Neural Computation.

Clustering Gene Expression Data by Mutual Information with Gene Function

Samuel Kaski, Janne Sinkkonen, Janne Nikkilä, 2001, ICANN.

Clustering by Similarity in an Auxiliary Space

Samuel Kaski, Janne Sinkkonen, Samuel Kaski, 2000, IDEAL.

Bankruptcy analysis with self-organizing maps in learning metrics

Samuel Kaski, Jaakko Peltonen, Janne Sinkkonen, 2001, IEEE Trans. Neural Networks.

Discriminative clustering

Samuel Kaski, Arto Klami, Janne Sinkkonen, 2005, Neurocomputing.

Principle of Learning Metrics for Exploratory Data Analysis

Samuel Kaski, Janne Sinkkonen, Samuel Kaski, 2004, J. VLSI Signal Process..

Regularized discriminative clustering

Samuel Kaski, Arto Klami, Janne Sinkkonen, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Discriminative Clustering: Vector Quantization in Learning Metrics

Samuel Kaski, Janne Sinkkonen, Samuel Kaski, 2003 .

R EG U L AR I Z ED DISC R I M I NATIVE CLUSTERING

Samuel Kaski, Janne Sinkkonen, Samuel Kaski, 2003 .

Discriminative Clustering: Optimal Contingency Tables by Learning Metrics

Samuel Kaski, Janne Sinkkonen, Janne Nikkilä, 2002, ECML.

Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics

Samuel Kaski, Jaakko Peltonen, Janne Sinkkonen, 2001, DaWaK.

Learning metrics for self-organizing maps

Samuel Kaski, Jaakko Peltonen, Janne Sinkkonen, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Associative clustering for exploring dependencies between functional genomics data sets

Samuel Kaski, Janne Sinkkonen, Leo Lahti, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Infinite factorization of multiple non-parametric views

Samuel Kaski, Simon Rogers, Mark A. Girolami, 2010, Machine Learning.

The auditory transient 40‐Hz response is insensitive to changes in stimulus features

Janne Sinkkonen, Hannu Tiitinen, Risto Naatanen, 1994, Neuroreport.

Component models for large networks

Janne Sinkkonen, Samuel Kaski, Janne Aukia, 2008, 0803.1628.

Harmonic partials facilitate pitch discrimination in humans: electrophysiological and behavioral evidence

M Huotilainen, R Näätänen, M. Tervaniemi, 2000, Neuroscience Letters.

Long-term stimulation attenuates the transient 40-Hz response.

R. Näätänen, H. Tiitinen, P. May, 1994, Neuroreport.

Sequential information bottleneck for finite data

Samuel Kaski, Jaakko Peltonen, Janne Sinkkonen, 2004, ICML.

Test–retest stability of the magnetic mismatch response (MMNm)

Risto Näätänen, Juha Virtanen, Oili Salonen, 2005, Clinical Neurophysiology.

Male genital variation in a moth Pammene luedersiana (Lepidoptera: Tortricidae)

J. Sinkkonen, M. Mutanen, Seppo Rytkönen, 2007 .

Interaction between representations of different features of auditory sensory memory.

R. Ilmoniemi, R. Näätänen, J. Knuutila, 1993, Neuroreport.

Analysis of speech sounds is left-hemisphere predominant at 100-150ms after sound onset.

O Bertrand, R Näätänen, O. Bertrand, 1999, Neuroreport.

Specific changes in somatosensory evoked magnetic fields during recovery from sensorimotor stroke

R J Ilmoniemi, O Salonen, H J Aronen, 2000, Annals of neurology.

Low-Rank Approximations of Second-Order Document Representations

Arto Klami, Janne Sinkkonen, Jarkko Lagus, 2019, CoNLL.

Infinite mixtures for multi-relational categorical data

Samuel Kaski, J. Sinkkonen, Janne Aukia, 2008 .

Associative Clustering

Samuel Kaski, Janne Sinkkonen, Leo Lahti, 2004, ECML.

Analysis of speech sounds is left-hemisphere predominant at 100-150ms after sound onset.

P. Alku, J. Virtanen, T. Rinne, 1999, Neuroreport.

Learning metrics and discriminative clustering

J. Sinkkonen, 2003 .

Discriminative clustering of text documents

Samuel Kaski, Jaakko Peltonen, Janne Sinkkonen, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Discriminative Clustering in Fisher Metrics

Samuel Kaski, Jarkko Salojärvi, Janne Sinkkonen, 2003 .

A Topography-Preserving Latent Variable Model with Learning Metrics

Samuel Kaski, Janne Sinkkonen, Samuel Kaski, 2001, WSOM.

Age‐related functional differences between auditory cortices: a whole- head MEG study

Risto Näätänen, Juha Virtanen, Minna Huotilainen, 1995, Neuroreport.

An efficient block model for clustering sparse graphs

András A. Benczúr, Janne Sinkkonen, Ádám Gyenge, 2010, MLG '10.

Inferring Vertex Properties from Topology in Large Networks

Samuel Kaski, Janne Sinkkonen, Janne Aukia, 2007, MLG.

Feasibility and patient acceptability of a commercially available wearable and a smart phone application in identification of motor states in parkinson’s disease

U. Pesonen, E. Pekkonen, J. Sinkkonen, 2023, PLOS digital health.