About me

Antti Juvonen

Hi, I’m Antti. I’m from Finland but currently living in Tokyo, Japan. I’m working as Senior Machine Learning Engineer @ Cogent Labs. I got a PhD in IT and co-founded CAP Data Technologies. I’m a Software Engineer at heart, and in addition to programming I have been researching or applying Machine Learning since around 2011.

My interests include programming (mostly Python), Machine Learning, AI, Big Data and technology. I’m also a big fan of presenting complicated concepts in a simple way and will write about my (personal) observations in the blog.

Links

• GitHub
• Twitter
• LinkedIn

Publications

• PhD dissertation
  • Intrusion detection applications using knowledge discovery and data mining. Jyväskylä studies in computing 205. University of Jyväskylä, Finland. 2014.
• Journal papers
  • Antti Juvonen, Tuomo Sipola, and Timo Hämäläinen. Online anomaly detection using dimensionality reduction techniques for HTTP log analysis. Computer Networks, Vol. 91, pp. 46-56, 2015.
  • Tuomo Sipola, Antti Juvonen and Joel Lehtonen. Dimensionality reduction framework for detecting anomalies from network logs. Engineering Intelligent Systems , Vol. 20, Iss. 1–2, pp. 87–97, 2012.
• Conference papers
  • Antti Juvonen and Timo Hämäläinen. An efficient network log anomaly detection system using random projection dimensionality reduction. New Technologies, Mobility and Security (NTMS), 2014 6th International Conference on , 2014.
  • Antti Juvonen and Tuomo Sipola. Combining conjunctive rule extraction with diffusion maps for network intrusion detection. The Eighteenth IEEE Symposium on Computers and Communications (ISCC 2013) , pp. 411–416, 2013.
  • Mikhail Zolotukhin, Timo Hämäläinen and Antti Juvonen. Growing hierarchical self-organizing maps and statistical distribution models for online detecion of web attacks. Web Information Systems and Technologies. Lecture Notes in Business Information Processing , Vol. 140, pp. 281–295, 2013.
  • Antti Juvonen and Tuomo Sipola. Adaptive framework for network traffic classification using dimensionality reduction and clustering. Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on, pp. 274–279, 2012.
  • Tuomo Sipola, Antti Juvonen and Joel Lehtonen. Anomaly detection from network logs using diffusion maps. Engineering Applications of Neural Networks , IFIP Advances in Information and Communication Technology, Vol. 363, pp. 172–181, 2011.
• Other
  • Antti Juvonen and Tuomo Sipola. Anomaly detection framework using rule extraction for efficient intrusion detection. arXiv:1410.7709 [cs.NI], Technical report, 2014.