Efficient characterization method for big automotive datasets used for perception system development and verification

P Kowalczyk, M Komorkiewicz, P Skruch… - IEEE Access, 2022 - ieeexplore.ieee.org
The paper proposes a formal approach for describing and evaluating the datasets that are
used in automotive applications for machine learning, testing, and validation purposes …

[PDF][PDF] Robust multivariate correlation techniques: A confirmation analysis using COVID-19 data set

FZ Okwonu, NA Ahad, JS Apanapudor… - Pertanika Journal of …, 2021 - academia.edu
Robust multivariate correlation techniques are proposed to determine the strength of the
association between two or more variables of interest since the existing multivariate …

Evaluation of the handshake turing test for anthropomorphic robots

R Stock-Homburg, J Peters, K Schneider… - Companion of the 2020 …, 2020 - dl.acm.org
Handshakes are fundamental and common greeting and parting gestures among humans.
They are important in shaping first impressions as people tend to associate character traits …

Team: a parameter-free algorithm to teach collaborative robots motions from user demonstrations

L Panchetti, J Zheng, M Bouri, M Mielle - arXiv preprint arXiv:2209.06940, 2022 - arxiv.org
Learning from demonstrations (LfD) enables humans to easily teach collaborative robots
(cobots) new motions that can be generalized to new task configurations without retraining …

PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

FZ Okwonu, NA Ahad, JS Apanapudor, FI Arunaye - pertanika.upm.edu.my
Robust multivariate correlation techniques are proposed to determine the strength of the
association between two or more variables of interest since the existing multivariate …

PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

FZ Okwonu, NA Ahad, IE Okoloko, JS Apanapudor… - pertanika.upm.edu.my
The sample mean classifier, such as the nearest mean classifier (NMC) and the Bayes
classifier, is not robust due to the influence of outliers. Enhancing the robust performance of …