Jukka Heikkonen


Professor, Computer Science (Department of Future Technologies)

jukhei@utu.fi
+358 2 333 8531
Vesilinnantie 5
Turku





Publications
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A Deep Auto-Encoder based Approach for Intrusion Detection System (2018) 2018 20th International Conference on Advanced Communication Technology (ICACT) Fatimeh Farahnakian, Jukka Heikkonen
(
A4 Article in conference proceedings)

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018) 2018 21st International Conference on Intelligent Transportation Systems (ITSC) Mohammad-Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen
(
A4 Article in conference proceedings)

Anomaly-based Intrusion Detection Using Deep Neural Networks (2018)
International Journal of Digital Content Technology and Its Applications
Farahnakian Fahimeh, Heikkonen Jukka
(
A1 Journal article – refereed)

Comparison of estimators and feature selection procedures in forest inventory based on airborne laser scanning and digital aerial imagery (2018)
Scandinavian Journal of Forest Research
Pohjankukka J., Tuominen S., Pitkänen J., Pahikkala T., Heikkonen J.
(
A1 Journal article – refereed)

Future Educational Technology with Big Data and Learning Analytics (2018) 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE) Kanth R., Laakso M., Nevalainen P., Heikkonen J.
(
A4 Article in conference proceedings)

Image Analysis and Development of Graphical User Interface for Pole Vault Action (2018) Rajeev Kanth, Jukka-Pekka Skön, Kari Lehtomäki, Paavo Nevalainen, Petra Virjonen, Mikko-Jussi Laakso, Jukka Heikkonen
(
A1 Journal article – refereed)

Molecular atlas of postnatal mouse heart development (2018)
Journal of the American Heart Association
Talman V., Teppo J., Pöhö P., Movahedi P., Vaikkinen A., Karhu S. T., Trošt K., Suvitaival T., Heikkonen J., Pahikkala T., Kotiaho T., Kostiainen R., Varjosalo M., Ruskoaho H.
(
A1 Journal article – refereed)

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018) 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
(
A4 Article in conference proceedings)

Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC). Targeted analysis. Interim Report (2018) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Siiri Silm, Anto Aasa
(
D4 Published development or research report or study)

Ship Movement Prediction Using k-NN Method (2018) 2018 Baltic Geodetic Congress (BGC Geomatics) Petra Virjonen, Paavo Nevalainen, Tapio Pahikkala, Jukka Heikkonen
(
A4 Article in conference proceedings)

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers (2018)
Data Mining and Knowledge Discovery
Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala
(
A1 Journal article – refereed)

Time-Gated Raman Spectroscopy for Quantitative Determination of Solid-State Forms of Fluorescent Pharmaceuticals (2018)
Analytical Chemistry
Lipiäinen T, Pessi J, Movahedi P, Koivistoinen J, Kurki L, Tenhunen M, Yliruusi J, Juppo AM, Heikkonen J, Pahikkala T, Strachan CJ
(
A1 Journal article – refereed)

Tree Detection around Forest Harvester Based on Onboard LiDAR Measurements (2018) Proceedings - 2018 Baltic Geodetic Congress, BGC-Geomatics 2018 Sihvo Satu, Virjonen Petra, Nevalainen Paavo, Heikkonen Jukka
(
A4 Article in conference proceedings)

Wheel rut measurements by forest machine-mounted LiDAR sensors - accuracy and potential for operational applications? (2018)
International Journal of Forest Engineering
Aura Salmivaara, Mikko Miettinen, Leena Finér, Samuli Launiainen, Heikki Korpunen, Sakari Tuominen, Jukka Heikkonen, Paavo Nevalainen, Matti Sirén, Jari Ala-Ilomäki, Jori Uusitalo
(
A1 Journal article – refereed)

A/B-Test of Retention and Monetization Using the Cox Model (2017) Proceedings, The Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17) Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
(
A4 Article in conference proceedings)

Estimating the prediction performance of spatial models via spatial k-fold cross validation (2017)
International Journal of Geographical Information Science
Pohjankukka J, Pahikkala T, Nevalainen P, Heikkonen J
(
A1 Journal article – refereed)

Estimating the Rut Depth by UAV Photogrammetry (2017)
Remote Sensing
Paavo Nevalainen, Aura Salmivaara, Jari Ala-Ilomäki, Samuli Launiainen, Juuso Hiedanpää, Leena Finér, Tapio Pahikkala, Jukka Heikkonen
(
A1 Journal article – refereed)

Playtime Measurement with Survival Analysis (2017)
IEEE Transactions on Computational Intelligence and AI in Games
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
(
A1 Journal article – refereed)

Real-Time Swimmer Tracking on Sparse Camera Array (2017) Pattern Recognition Applications and Methods: 5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers Paavo Nevalainen, M. Hashem Haghbayan, Antti Kauhanen, Jonne Pohjankukka, Mikko-Jussi Laakso, Jukka Heikkonen
(
A4 Article in conference proceedings)

Triangular Curvature Approximation of Surfaces: Filtering the Spurious Mode (2017) Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017) Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen and Tapio Pahikkala
(
A4 Article in conference proceedings)


Last updated on 2019-23-05 at 02:19