Tuomo Sipola
Tuomo Sipola
Senior Researcher, JAMK University of Applied Sciences
Verified email at jamk.fi
Cited by
Cited by
Online anomaly detection using dimensionality reduction techniques for HTTP log analysis
A Juvonen, T Sipola, T Hämäläinen
Computer Networks 91, 46-56, 2015
Hilbert-Huang versus Morlet wavelet transformation on mismatch negativity of children in uninterrupted sound paradigm
F Cong, T Sipola, T Huttunen-Scott, X Xu, T Ristaniemi, H Lyytinen
Nonlinear biomedical physics 3 (1), 1-8, 2009
Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis
F Cong, T Puoliväli, V Alluri, T Sipola, I Burunat, P Toiviainen, AK Nandi, ...
Journal of neuroscience methods 223, 74-84, 2014
Anomaly detection from network logs using diffusion maps
T Sipola, A Juvonen, J Lehtonen
Engineering Applications of Neural Networks, 172-181, 2011
Adaptive framework for network traffic classification using dimensionality reduction and clustering
A Juvonen, T Sipola
2012 IV International Congress on Ultra Modern Telecommunications and …, 2012
Research literature clustering using diffusion maps
P Nieminen, I Pölönen, T Sipola
Journal of Informetrics 7 (4), 874-886, 2013
Dimensionality reduction framework for detecting anomalies from network logs
T Sipola, A Juvonen, J Lehtonen
Engineering Intelligent Systems 20 (1/2), 2012
Gear classification and fault detection using a diffusion map framework
T Sipola, T Ristaniemi, A Averbuch
Pattern Recognition Letters 53, 53-61, 2015
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis
T Sipola, F Cong, T Ristaniemi, V Alluri, P Toiviainen, E Brattico, AK Nandi
2013 IEEE international workshop on machine learning for signal processing …, 2013
Combining conjunctive rule extraction with diffusion maps for network intrusion detection
A Juvonen, T Sipola
2013 IEEE Symposium on Computers and Communications (ISCC), 000411-000416, 2013
Knowledge discovery using diffusion maps
T Sipola
Jyväskylä studies in computing, 2013
Concatenated trial based hilbert-huang transformation on event-related potentials
F Cong, T Sipola, X Xu, T Huttunen-Scott, H Lyytinen, T Ristaniemi
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-5, 2010
Model Fooling Attacks Against Medical Imaging: A Short Survey
T Sipola, S Puuska, T Kokkonen
Information & Security: An International Journal 46 (2), 215-224, 2020
Anomaly detection framework using rule extraction for efficient intrusion detection
A Juvonen, T Sipola
arXiv preprint arXiv:1410.7709, 2014
Using affinity perturbations to detect web traffic anomalies
Y Shmueli, T Sipola, G Shabat, A Averbuch
Proceedings of the 10th International Conference on Sampling Theory and …, 2013
One-pixel attack deceives automatic detection of breast cancer
J Korpihalkola, T Sipola, S Puuska, T Kokkonen
arXiv preprint arXiv:2012.00517, 2020
Knowledge discovery from network logs
T Sipola
Cyber security: analytics, technology and automation, 195-203, 2015
Color-Optimized One-Pixel Attack Against Digital Pathology Images
J Korpihalkola, T Sipola, T Kokkonen
2021 29th Conference of Open Innovations Association (FRUCT) 29 (1), 206-213, 2021
One-Pixel Attacks Against Medical Imaging: A Conceptual Framework
T Sipola, T Kokkonen
World Conference on Information Systems and Technologies (WorldCIST), 197-203, 2021
Chromatic and spatial analysis of one-pixel attacks against an image classifier
J Alatalo, J Korpihalkola, T Sipola, T Kokkonen
arXiv preprint arXiv:2105.13771, 2021
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