متابعة
Markus Kängsepp
Markus Kängsepp
PhD Student of Computer Science, University of Tartu
بريد إلكتروني تم التحقق منه على ut.ee
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration
M Kull, M Perello Nieto, M Kängsepp, T Silva Filho, H Song, P Flach
Advances in neural information processing systems 32, 2019
4122019
VREX: an open-source toolbox for creating 3D virtual reality experiments
M Vasser, M Kängsepp, M Magomedkerimov, K Kilvits, V Stafinjak, ...
BMC psychology 5, 1-8, 2017
462017
Telmo de Menezes e Silva Filho, Hao Song, and Peter A. Flach. Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration
M Kull, M Perelló-Nieto, M Kängsepp
Conference on Neural Information Processing Systems (NeurIPS) 53, 54-58, 2019
202019
TS Filho, H. Song, and P. Flach,“Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration,”
M Kull, MP Nieto, M Kängsepp
Advances in Neural Information Processing Systems (NeurIPS), 2019
132019
Correlated daily time series and forecasting in the M4 competition
A Ingel, N Shahroudi, M Kängsepp, A Tättar, V Komisarenko, M Kull
International Journal of Forecasting 36 (1), 121-128, 2020
92020
TS Filho, H
M Kull, M Perello-Nieto, M Kängsepp
Song, and P. Flach,“Beyond temperature scaling: Obtaining well-calibrated …, 2019
72019
Calibrated perception uncertainty across objects and regions in bird's-eye-view
M Kängsepp, M Kull
arXiv preprint arXiv:2211.04340, 2022
52022
Telmo de Menezes e Silva Filho, Hao Song, and Peter A
M Kull, M Perelló-Nieto, M Kängsepp
Flach. Beyond temperature scaling: Obtaining well-calibrated multiclass …, 2019
52019
Virtual reality toolbox for experimental psychology—Research demo
M Vasser, M Kängsepp, K Kilvits, T Kivisik, J Aru
2015 IEEE virtual reality (VR), 361-362, 2015
52015
Virtual Reality Environment for Studying Change Blindness
M Kängsepp
Bachelor's thesis. Institute of Computer Science, University of Tartu, 2015
22015
Filho, TS; Song, H.; and Flach
M Kull, M Perello-Nieto, M Kängsepp
Beyond temperature scaling: Obtaining well-calibrated multiclass …, 0
2
On the usefulness of the fit-on-test view on evaluating calibration of classifiers
M Kängsepp, K Valk, M Kull
Machine Learning 114 (4), 105, 2025
12025
Calibration of Convolutional Neural Networks
M Kängsepp
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–13