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Tuomo Sipola
Tuomo Sipola
Senior Researcher, Jamk University of Applied Sciences
Verified email at jamk.fi
Title
Cited by
Cited by
Year
Online anomaly detection using dimensionality reduction techniques for HTTP log analysis
A Juvonen, T Sipola, T Hämäläinen
Computer Networks 91, 46-56, 2015
902015
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, 1-8, 2009
392009
Anomaly detection from network logs using diffusion maps
T Sipola, A Juvonen, J Lehtonen
IFIP Advances in Information and Communication Technology, 2011
372011
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
332014
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
232012
Research literature clustering using diffusion maps
P Nieminen, I Pölönen, T Sipola
Journal of Informetrics 7 (4), 874-886, 2013
212013
Dimensionality reduction framework for detecting anomalies from network logs
T Sipola, A Juvonen, J Lehtonen
Engineering Intelligent Systems 20 (1/2), 2012
172012
Gear classification and fault detection using a diffusion map framework
T Sipola, T Ristaniemi, A Averbuch
Pattern Recognition Letters 53, 53-61, 2015
122015
Artificial intelligence in the IoT era: A review of edge AI hardware and software
T Sipola, J Alatalo, T Kokkonen, M Rantonen
2022 31st Conference of Open Innovations Association (FRUCT), 320-331, 2022
102022
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
102020
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
92013
One-pixel attack deceives computer-assisted diagnosis of cancer
J Korpihalkola, T Sipola, S Puuska, T Kokkonen
2021 4th International Conference on Signal Processing and Machine Learning …, 2021
8*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
82021
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
82013
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
62021
Anomaly detection framework using rule extraction for efficient intrusion detection
A Juvonen, T Sipola
arXiv preprint arXiv:1410.7709, 2014
62014
Knowledge discovery using diffusion maps
T Sipola
Jyväskylä studies in computing, 2013
52013
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
52010
Using affinity perturbations to detect web traffic anomalies
Y Shmueli, T Sipola, G Shabat, A Averbuch
International Conference on Sampling Theory and Applications, 2013
42013
Cyber range: preparing for crisis or something just for technical people?
J Päijänen, K Saharinen, J Salonen, T Sipola, J Vykopal, T Kokkonen
Proceeding of the 20th European Conference on Cyber Warfare and Security …, 2021
32021
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