162 citations · 172 across the 5 of their papers we have counts for
5 papers
Calibrating Perception Uncertainty for Autonomous Driving
Markus Kängsepp, Meelis Kull
Autonomous driving systems must be capable of making quick decisions based on the perceived environment and specific driving conditions. Perception models in these systems perform…
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers
Markus Kängsepp, Kaspar Valk, Meelis Kull
Every uncalibrated classifier has a corresponding true calibration map that calibrates its confidence. Deviations of this idealistic map from the identity map reveal miscalibration…
Correlated daily time series and forecasting in the M4 competition
Anti Ingel, Novin Shahroudi, Markus Kängsepp +3
We participated in the M4 competition for time series forecasting and describe here our methods for forecasting daily time series. We used an ensemble of five statistical forecasti…
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp +3
Class probabilities predicted by most multiclass classifiers are uncalibrated, often tending towards over-confidence. With neural networks, calibration can be improved by temperatu…
Change Blindness in 3D Virtual Reality
Madis Vasser, Markus Kängsepp, Jaan Aru
In the present change blindness study subjects explored stereoscopic three dimensional (3D) environments through a virtual reality (VR) headset. A novel method that tracked the sub…