Automatic inference of programming performance and experience from typing patterns J Leinonen, K Longi, A Klami, A Vihavainen Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016 | 67 | 2016 |
Identification of programmers from typing patterns K Longi, J Leinonen, H Nygren, J Salmi, A Klami, A Vihavainen Proceedings of the 15th Koli Calling conference on computing education …, 2015 | 45 | 2015 |
Transfer-learning methods in programming course outcome prediction J Lagus, K Longi, A Klami, A Hellas ACM Transactions on Computing Education (TOCE) 18 (4), 1-18, 2018 | 25 | 2018 |
Semi-supervised convolutional neural networks for identifying wi-fi interference sources K Longi, T Pulkkinen, A Klami Asian Conference on Machine Learning, 391-406, 2017 | 20 | 2017 |
Typing patterns and authentication in practical programming exams J Leinonen, K Longi, A Klami, A Ahadi, A Vihavainen Proceedings of the 2016 ACM Conference on Innovation and Technology in …, 2016 | 19 | 2016 |
Exploring factors that affect performance on introductory programming courses K Longi Helsingfors universitet, 2016 | 15 | 2016 |
Sensor placement for spatial Gaussian processes with integral observations K Longi, C Rajani, T Sillanpää, J Mäkinen, T Rauhala, A Salmi, ... Conference on Uncertainty in Artificial Intelligence, 1009-1018, 2020 | 8 | 2020 |
Non-linearities in Gaussian processes with integral observations V Tanskanen, K Longi, A Klami 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 7 | 2020 |
Ultrasonic fouling detector powered by machine learning T Sillanpää, T Rauhala, J Mäkinen, C Rajani, K Longi, A Klami, A Salmi, ... 2019 IEEE International Ultrasonics Symposium (IUS), 1639-1642, 2019 | 6 | 2019 |
Localizing a target inside an enclosed cylinder with a single chaotic cavity transducer augmented with supervised machine learning T Sillanpää, K Longi, J Mäkinen, T Rauhala, A Klami, A Salmi, ... AIP Advances 11 (11), 115104, 2021 | 3 | 2021 |
Traversing Time with Multi-Resolution Gaussian Process State-Space Models K Longi, J Lindinger, O Duennbier, M Kandemir, A Klami, B Rakitsch Learning for Dynamics and Control Conference, 366-377, 2022 | 1 | 2022 |
Gaussian Processes and Convolutional Neural Networks for Modeling Sensor Data K Longi Helsingin yliopisto, 2022 | | 2022 |