On Top of Edge Machine Learning

Ekkono is born out of research and will always be a vital part of Ekkono’s journey. Here is a selection of publications written by Ekkonians.

Green Accelerated Hoeffding Tree

García-Martín, E., Bifet, A., Lavesson, N., König, R. and Linusson, H., 2020, December.
In Research Symposium on Tiny Machine Learning.

Nonconformity Measures and Ensemble Strategies: An Analysis of Conformal Predictor Efficiency and Validity

Linusson, H., 2021.
Doctoral dissertation, Department of Computer and Systems Sciences, Stockholm University.

Energy Efficiency in Machine Learning: Approaches to Sustainable Data Stream Mining

García-Martín, E., Grahn, H., Boeva, V., Casalicchio E., Read, J., 2019,
Doctoral dissertation, Blekinge Institute of Technology

Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality

König, R., 2009
Licentiate Thesis, School of Business and Informatics, University of Borås

Interesting regression-and model trees through variable restrictions

König, R., Johansson, U., Lindqvist, A., Brattberg, P., 2015
7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)

Rule extraction using genetic programming for accurate sales forecasting

König, R, Johansson, U
IEEE Symposium on Computational Intelligence and Data Mining (CIDM)

Optimization and Evaluation Criteria in GP Regression

König. R., Johansson. U., Niklasson. L.
International Conference on Data Mining