Tuomo Sipola

Picture of Tuomo Sipola from August 2012

Ph.D. (information technology), M.A. student (Latin)
University of Jyväskylä

Currently at CAP Data Technologies and Koodilehto.

Contact

Publications

Journal articles

[6] Antti Juvonen, Tuomo Sipola, and Timo Hämäläinen. Online anomaly detection using dimensionality reduction techniques for HTTP log analysis. Computer Networks, 91:46-56, 2015. [PDF]

[5] Tuomo Sipola, Tapani Ristaniemi, and Amir Averbuch. Gear classification and fault detection using a diffusion map framework. Pattern Recognition Letters, 53:53-61, 2015. [PDF]

[4] Fengyu Cong, Tuomas Puoliväli, Vinoo Alluri, Tuomo Sipola, Iballa Burunat, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, and Tapani Ristaniemi. Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis. Journal of Neuroscience Methods, 223:74-84, 2014. [PDF]

[3] Paavo Nieminen, Ilkka Pölönen, and Tuomo Sipola. Research literature clustering using diffusion maps. Journal of Informetrics, 7(4):874-886, 2013. [PDF]

[2] Tuomo Sipola, Antti Juvonen, and Joel Lehtonen. Dimensionality reduction framework for detecting anomalies from network logs. Engineering Intelligent Systems, 20(1):87-97, 2012. [PDF]

[1] Fengyu Cong, Tuomo Sipola, Tiina Huttunen-Scott, Xiaonan Xu, Tapani Ristaniemi, and Heikki Lyytinen. Hilbert-Huang versus Morlet wavelet transformation on mismatch negativity of children in uninterrupted sound paradigm. Nonlinear Biomedical Physics, 3:1, 2009. [PDF]

Conference papers

[6] Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi, Vinoo Alluri, Petri Toiviainen, Elvira Brattico, and Asoke K. Nandi. Diffusion map for clustering fMRI spatial maps extracted by independent component analysis. In Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on, Southampton, United Kingdom, September 2013. IEEE. [PDF] [arXiv]

[5] Antti Juvonen and Tuomo Sipola. Combining conjunctive rule extraction with diffusion maps for network intrusion detection. In The Eighteenth IEEE Symposium on Computers and Communications (ISCC 2013), pages 411-416, Split, Croatia, July 2013. [PDF]

[4] Yaniv Shmueli, Tuomo Sipola, Gil Shabat, and Amir Averbuch. Using affinity perturbations to detect web traffic anomalies. In Proceedings of the 10th International Conference on Sampling Theory and Applications (SampTA), pages 444-447, Bremen, Germany, July 2013. EURASIP. [PDF]

[3] Antti Juvonen and Tuomo Sipola. Adaptive framework for network traffic classification using dimensionality reduction and clustering. In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on, pages 274-279, St. Petersburg, Russia, October 2012. IEEE. [PDF]

[2] Tuomo Sipola, Antti Juvonen, and Joel Lehtonen. Anomaly detection from network logs using diffusion maps. In Lazaros Iliadis and Chrisina Jayne, editors, Engineering Applications of Neural Networks, volume 363 of IFIP Advances in Information and Communication Technology, pages 172-181. Springer, 2011. [PDF]

[1] Fengyu Cong, Tuomo Sipola, Xiaonan Xu, Tiina Huttunen-Scott, Heikki Lyytinen, and Tapani Ristaniemi. Concatenated trial based Hilbert-Huang transformation on event-related potentials. In Proc. International Joint Conference on Neural Networks 2010 (IEEE World Congress on Computational Intelligence), pages 1379-1383, 2010.

Book chapters

[1] Tuomo Sipola. Knowledge discovery from network logs. In Martti Lehto and Pekka Neittaanmäki, editors, Cyber Security: Analytics, Technology and Automation, volume 78 of Intelligent Systems, Control and Automation: Science and Engineering, chapter 12, pages 195-203. Springer, Berlin, Heidelberg, 2015. [PDF not available due to Springer's copyright policy, please see my dissertation instead.]

Technical reports and preprints

[2] Antti Juvonen and Tuomo Sipola. Anomaly detection framework using rule extraction for efficient intrusion detection. arXiv:1410.7709 [cs.NI], 2014. [PDF] [arXiv]

[1] Tuomo Sipola, Tapani Ristaniemi, and Amir Averbuch. Gear classification and fault detection using a diffusion map framework. Reports of the Department of Mathematical Information Technology Series B. Scientific Computing, No. B 6/2013, University of Jyväskylä, 2013. [PDF]

Theses

[2] Doctoral dissertation Knowledge discovery using diffusion maps about analysis of high-dimensional datasets. 2013. [PDF]

[1] Master's thesis Applying Hilbert-Huang Transform to Mismatch Negativity about advanced EEG signal processing. 2009. [PDF]


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