Miha Mlakar

According to our database, Miha Mlakar authored at least 9 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors.

Martin Gjoreski, Vito Janko, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Mitja Lustrek, Matjaz Gams

Inf. Fusion, 2020

2019

Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge.

Vito Janko, Martin Gjoreski, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Matjaz Gams, Mitja Lustrek

Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018

Physical Fitness Forecasting and Risk Estimation in Slovenian Schoolchildren.

Anton Gradisek, Miha Mlakar, Matej Cigale, Luka Lajovic, Mitja Lustrek, Maroje Soric, Gregor Starc, Bojan Leskosek, Gregor Jurak

Proceedings of the Data, 2018

A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge.

Vito Janko, Nina Resçiç, Miha Mlakar, Vid Drobnic, Matjaz Gams, Gasper Slapnicar, Martin Gjoreski, Jani Bizjak, Matej Marinko, Mitja Lustrek

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge.

Martin Gjoreski, Vito Janko, Nina Resçiç, Miha Mlakar, Mitja Lustrek, Jani Bizjak, Gasper Slapnicar, Matej Marinko, Vid Drobnic, Matjaz Gams

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Analyzing tennis game through sensor data with machine learning and multi-objective optimization.

Miha Mlakar, Mitja Lustrek

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2015

Evolutionary Multiobjective Optimization Based on Gaussian Process Modeling.

Miha Mlakar

Informatica (Slovenia), 2015

GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models.

Miha Mlakar, Dejan Petelin, Tea Tusar, Bogdan Filipic

Eur. J. Oper. Res., 2015

2012

Discrete vs. continuous multiobjective optimization of continuous casting of steel.

Miha Mlakar, Tea Tusar, Bogdan Filipic

Proceedings of the Genetic and Evolutionary Computation Conference, 2012