Selpi Selpi

Projektledare at Department of Applied Mechanics, Vehicle Safety, Accident Prevention

Selpi is a project leader at the department of Applied Mechanics, division of Vehicle Safety. Within this division, she belongs to the research group Accident Prevention. For most days, she can be visited at SAFER. (Lindholmspiren 3, Lindholmen Science Park, Göteborg).Her research interests include understanding how drivers behave differently from one another in different situations (e.g., driving styles) and exploring the application of machine learning and data mining for analysis of large-scale naturalistic driving data.

Source: chalmers.se

Projects

2015–2016

Driver modelling and cross-cultural analysis of driving styles based on large-scale driving data

Selpi Selpi Department of Applied Mechanics, Vehicle Safety, Accident Prevention
The swedish foundation for international cooperation in reserach and higher education (STINT)

2015–2016

Att bättre förstå körstil från naturalistisk kördata

Selpi Selpi Department of Applied Mechanics, Vehicle Safety, Accident Prevention
Swedish Transport Administration

There might be more projects where Selpi Selpi participates, but you have to be logged in as a Chalmers employee to see them.

Publications

2015

Mutual Recognition Methodology Development

Carol A.C. Flannagan, Paul E. Green, Kathleen D. Klinich et al
Report
2015

Driving Signature Extraction

Ekim Yurtsever, Chiyomi Miyajima, . Selpi et al
Proceedings of the 3rd International Symposium on Future Active Safety Technology Towards Zero Traffic Accidents (FAST-zero 2015)
Conference paper - peer reviewed
2015

The effect of curve geometry on driver behaviour in curves by using naturalistic driving data

Andréa Palmberg, Jakob Imberg, . Selpi et al
Proceedings of the 3rd International Symposium on Future Active Safety Technology Towards Zero Traffic Accidents (FAST-zero 2015)
Conference paper - peer reviewed
2015

A Review of Research on Driving Styles and Road Safety

Fridulv Sagberg, . Selpi, Giulio Francesco Bianchi Piccinini et al
Human Factors. Vol. 57 (No. 7, November 2015), p. 1248– 1275
Scientific journal article - peer reviewed
2012

Investigating visually distracted driver reactions in rear-end crashes and near crashes based on 100-car study data

Henrik Lind, . Selpi, Marco Dozza et al
In D. de Waard, N. Merat, A.H. Jamson, Y. Barnard, and O.M.J. Carsten (Eds.) (2012). Human Factors of Systems and Technology, p. 201-211
Conference paper - peer reviewed
2012

Deliverable D5.3: Final delivery of data and answers to questionnaires

Stefanie Schoch, Leandro Guidotti, Andràs Csepinszky et al
Report
2012

Deliverable D11.3: Final Report

Christoph Kessler, Aria Etemad, Giancarlo Alessandretti et al
Report
2012

Deliverable D3.3: Data management in euroFOT

. Selpi, Samuel Borgen, Jonas Bärgman et al
Report
2011

On data security and analysis platforms for analysis of naturalistic driving data

Jonas Bärgman, Helena Gellerman, Jordanka Kovaceva et al
Proceedings of the 8th European Congress and Exhibition on Intelligent Transport Systems and Services, June 2011, Lyon
Conference paper - peer reviewed
2011

Automatic real-time FACS-coder to anonymise drivers in eye tracker videos

. Selpi, Torsten Wilhelm, Marcus Jansson et al
Proceedings of the IEEE International Conference on Computer Vision. 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011, Barcelona, 6-13 November 2011, p. 1986-1993
Conference paper - peer reviewed
2009

Predicting functional upstream open reading frames in Saccharomyces cerevisiae

. Selpi, Christopher H. Bryant, Graham J.L. Kemp et al
BMC Bioinformatics. Vol. 10, p. 451
Scientific journal article - peer reviewed
2008

Using mRNA Secondary Structure Predictions Improves Recognition of Known Yeast Functional uORFs

. Selpi, C. H. Bryant, Graham J.L. Kemp et al
Wehenkel, L., d'Alché-Buc, F., Moreau, Y. and Geurts, P. (eds.) MLSB08, The Second International Workshop on Machine Learning in Systems Biology, Brussels, 13-14 September 2008., p. 85-93
Conference paper - peer reviewed
2007

Using Inductive Logic Programming to Predict Functional Upstream Open Reading Frames in Yeast

. Selpi, C. H. Bryant, Graham J.L. Kemp et al
15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Vienna, Austria, 21-25 July 2007
Conference poster
2006

A First Step towards Learning which uORFs Regulate Gene Expression

. Selpi, C. H. Bryant, Graham J.L. Kemp et al
Journal of Integrative Bioinformatics. Vol. 3 (2), p. 31
Scientific journal article - peer reviewed
2005

Using the Functional Data Model to Store and Query Recursive Biological Data

Graham J.L. Kemp, . Selpi, Merja Karjalainen et al
Workshop on Database Issues in Biological Databases (DBiBD),8-9 January 2005, Edinburgh, UK , p. 24-28
Conference paper - non peer reviewed
2004

Pathway and Protein Interaction Data: from XML to FDM Database

Graham J.L. Kemp, . Selpi,
Lecture Notes in Computer Science. Vol. 2994, p. 212-219
Scientific journal article - peer reviewed