Journal publications registered in DiVA
Miguel Angel Ortiz-Barrios, Jens Lundström, Jonathan Synnott, Eric Järpe, Anita Sant'Anna (2020). Complementing real datasets with simulated data : a regression-based approach. Multimedia tools and applications.
Jens Lundström, Eric Järpe, Antanas Verikas (2016). Detecting and exploring deviating behaviour of smart home residents. Expert systems with applications. 55, pp. 429-440
Hemakumar Lalith Premaratne, Eric Järpe, Josef Bigun (2006). Lexicon and hidden Markov model-based optimisation of the recognised Sinhala script. Pattern Recognition Letters. 27(6), pp. 696-705
Conference publications registered in DiVA
Martin Cooney, Linda Ong, Sepideh Pashami, Eric Järpe, Awais Ashfaq (2019). Avoiding improper treatment of dementia patients by care robots. The Dark Side of Human-Robot Interaction: Ethical Considerations and Community Guidelines for the Field of HRI. HRI Workshop, Daegu, South Korea, March 11, 2019.
Martin Cooney, Linda Ong, Sepideh Pashami, Eric Järpe, Awais Ashfaq (2019). Avoiding Improper Treatment of Dementia Patients by Care Robots. The Dark Side of Human-Robot Interaction: Ethical Considerations and Community Guidelines for the Field of HRI. HRI Workshop, Daegu, South Korea, March 11, 2019.
Rebeen Ali Hamad, Eric Järpe, Jens Lundström (2018). Stability analysis of the t-SNE algorithm for human activity pattern data. The 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), Miyazaki, Japan, Oct. 7-10, 2018.
Jens Lundström, Jonathan Synnott, Eric Järpe, Christopher Nugent (2015). Smart Home Simulation using Avatar Control and Probabilistic Sampling. SmartE: Closing the Loop – The 2nd IEEE PerCom Workshop on Smart Environments, St. Louis, Missouri, USA, March 23-27, 2015.
Thorsteinn Rögnvaldsson, Henrik Norrman, Stefan Byttner, Eric Järpe (2014). Estimating p-Values for Deviation Detection. SASO 2014 - Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Imperial College, London, United Kingdom, September 8-12, 2014.
Subject areas: Mathematics, Probability, Mathematical Statistics, Cryptology
Teaching: Applied Mathematics and Statistics for Computer Forensics, Cryptography Methods and Computer Security, Engineering Mathematics, Perspectives on Intelligent Systems, Perspectives on Electrical Engineering, Perspectives on Data Science, Perspectives on Mechatronics, Scienti c Method and Research Ethics Bachelor Thesis (15 credits)