Utku Genc

Anomalib: A Deep Learning Library for Anomaly Detection

Samet Akçay, Dick Ameln, Ashwin Vaidya et al. · 2022 IEEE International Conference on Image Processing (ICIP) · 2022 · 119 citations

Custom Algorithms, Anomaly Detection, Machine Learning +15

Semi-supervised model personalization for improved detection of learner's emotional engagement

Neşe Alyüz, Eda Okur, Ece Oktay et al. · 2016 · 30 citations

Machine Learning, Learning Content, Affective Design +22

Human Expert Labeling Process (HELP): Towards a Reliable Higher-order User State Labeling Process and Tool to Assess Student Engagement

Sinem Aslan, Sinem Emine Mete, Eda Okur et al. · Educational Technology archive · 2017 · 27 citations

Engineering, Assess Student Engagement, User Experience +10

An unobtrusive and multimodal approach for behavioral engagement detection of students

Neşe Alyüz, Eda Okur, Utku Genc et al. · 2017 · 25 citations

Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?

Neşe Alyüz, Eda Okur, Ece Oktay et al. · 2016 · 14 citations

Cognitive Science, Affective Variable, Emotional Engagement Model +13