Eric Järpe

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Eric Järpe

Eric Järpe, Senior Lecturer, PhD



Family Name: Järpe
Given Name: Eric
Role: Senior Lecturer
Title: PhD
Subject: Mathematics, Probability, Mathematical Statistics
Organization: Halmstad University
Email: eric.jarpe@hh.se
url: http://dixon.hh.se/erja
Phone: 
Cell Phone: +46-729-77-36-26




Journal publications registered in DiVA

Jens Lundström, Eric Järpe, Antanas Verikas (2016). Detecting and exploring deviating behaviour of smart home residents. Expert systems with applications. 55, pp. 429-440

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
Application areas:
Courses:
  Teaching: Applied Mathematics and Statistics for Computer ForensicsCryptography Methods and Computer SecurityEngineering MathematicsPerspectives on Intelligent SystemsPerspectives on Electrical EngineeringPerspectives on Data SciencePerspectives on MechatronicsScienti c Method and Research Ethics Bachelor Thesis (15 credits)