2023
I-CEE: Tailoring Explanations of Image Classifications Models to User Expertise
Yao Rong, Peizhu Qian, Vaibhav Unhelkar, Enkelejda Kasneci
Leveraging Saliency-Aware Gaze Heatmaps for Multiperspective Teaching of Unknown Objects
Andreas Zell, Enkelejda Kasneci, Valentin Bolz, Daniel Weber
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
Virmarie Maquiling, Sean Anthony Byrne, Diederick C Niehorster, Marcus Nyström, Enkelejda Kasneci
Caution to the exemplars: On the intriguing effects of example choice on human trust in xai
Tobias Leemann, Yao Rong, Thai-Trang Nguyen, Enkelejda Kasneci, Gjergji Kasneci
Testing different function fitting methods for mobile eye-tracker calibration
Börn Severitt, Thomas Kübler, Enkelejda Kasneci
Investigating social comparison behaviour in an immersive virtual reality classroom based on eye-movement data
Lisa Hasenbein, Philipp Stark, Ulrich Trautwein, Hong Gao, Enkelejda Kasneci, Richard Göllner
Could Human Gaze Augment Detectors of Synthetic Images?
Nikolaos Fotopoulos, Clara Riedmiller, Efe Bozkir, Panagiotis Tsinganos, Dimitris Ampeliotis, Gjergji Kasneci, Enkelejda Kasneci, Athanassios Skodras
2023 24th International Conference on Digital Signal Processing (DSP)
Lubaina T Arsiwala-Scheppach, Nora Castner, Csaba Rohrer, Sarah Mertens, Enkelejda Kasneci, Jose Eduardo Cejudo Grano de Oro, Joachim Krois, Falk Schwendicke
Lubaina T Arsiwala-Scheppach, Nora Castner, Csaba Rohrer, Sarah Mertens, Enkelejda Kasneci, Jose Eduardo Cejudo Grano de Oro, Joachim Krois, Falk Schwendicke
Journal of Dentistry
DeepTLF: robust deep neural networks for heterogeneous tabular data
Vadim Borisov, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci
International Journal of Data Science and Analytics
Watch out for those bananas! gaze based mario kart performance classification
Wolfgang Fuhl, Björn Severitt, Nora Castner, Babette Bühler, Johannes Meyer, Daniel Weber, Regine Lendway, Ruikun Hou, Enkelejda Kasneci
Proceedings of the 2023 Symposium on Eye Tracking Research and Applications
Taking Another Look at Intelligence-Personality Associations: An Eye-Tracking Approach
Lisa Bardach, Aki Schumacher, Ulrich Trautwein, Enkelejda Kasneci, Maike Tibus, Franz Wortha, Peter Gerjets, Tobias Appel
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection
Yao Rong, Xiangyu Wei, Tianwei Lin, Yueyu Wang, Enkelejda Kasneci
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Exploring Human Perception while Reading Fake and Real News Articles
Yasasi Abeysinghe, Gavindya Jayawardana, Autumn Woodson, Efe Bozkir, Enkelejda Kasneci, Andrew Duchowski, Sampath Jayarathna
Detecting Teacher Expertise in an Immersive VR Classroom: Leveraging Fused Sensor Data with Explainable Machine Learning Models
H. Gao, E. Bozkir, P. Stark, P. Goldberg, G. Meixner, E. Kasneci, and R. Gollner, in 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Sydney, Australia, 2023 pp. 683-692. doi: 10.1109/ISMAR59233.2023.00083
A Multimodal Smartwatch-Based Interaction Concept for Immersive Environments
Matěj Lang, Clemens Strobel, Felix Weckesser, Danielle Langlois, Enkelejda Kasneci, Barbora Kozlíková, Michael Krone
Computers & Graphics Volume 117, December 2023, Pages 85-95
Automated Hand-Raising Detection in Classroom Videos: A View-Invariant and Occlusion-Robust Machine Learning Approach
Babette Bühler, Ruikun Hou, Efe Bozkir, Patricia Goldberg, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci. 24th International Conference, AIED 2023, Tokyo, Japan. Volume 13916 of Lecture Notes in Computer Science, pages 102-113, Springer, 2023.
PEER: Empowering Writing with Large Language Models
Part of the Lecture Notes in Computer Science book series (LNCS,volume 14200)
Kathrin Seßler, Tao Xiang, Lukas Bogenrieder, Enkelejda Kasneci
Assessing Student Errors in Experimentation Using Artificial Intelligence and Large Language Models: A Comparative Study with Human Raters
Arne Bewersdorff, Kathrin Seßler, Armin Baur, Enkelejda Kasneci, Claudia Nerdel
V-ir-Net: A Novel Neural Network for Pupil and Corneal Reflection Detection trained on Simulated Light Distributions
Virmarie Maquiling, Sean Anthony Byrne, Marcus Nyström, Enkelejda Kasneci, Diederick C. Niehorster
MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction
LEyes: A Lightweight Framework for Deep Learning- Based Eye Tracking using Synthetic Eye Images
Sean Anthony Byrne, Virmarie Maquiling, Marcus Nyström, Enkelejda Kasneci, Diederick C. Niehorster
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
Hallgarten, Philipp, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, and Enkelejda Kasneci.
Efficient GNN Explanation via Learning Removal-based Attribution
Rong, Yao, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, and Xia Hu.
Pupil Diameter during Counting Tasks as Potential Baseline for Virtual Reality Experiments
Stark, Philipp, Tobias Appel, Milo J. Olbrich, and Enkelejda Kasneci. "Pupil Diameter during Counting Tasks as Potential Baseline for Virtual Reality Experiments." In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, pp. 1-7. 2023.
Leveraging Eye Tracking in Digital Classrooms: A Step Towards Multimodal Model for Learning Assistance
Byrne, Sean Anthony, Nora Castner, Ard Kastrati, Martyna Plomecka, William Schaefer, Enkelejda Kasneci, and Zoya Bylinskii. "Leveraging Eye Tracking in Digital Classrooms: A Step Towards Multimodal Model for Learning Assistance." In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, pp. 1-6. 2023.
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Bozkir, Efe, Süleyman Özdel, Mengdi Wang, Brendan David-John, Hong Gao, Kevin Butler, Eakta Jain, and Enkelejda Kasneci. "Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges." arXiv preprint arXiv:2305.14080 (2023).
Old or Modern? A Computational Model for Classifying Poem Comprehension using Microsaccades
Lenhart, Patrizia, Enkeleda Thaqi, Nora Castner, and Enkelejda Kasneci. "Old or Modern? A Computational Model for Classifying Poem Comprehension using Microsaccades." In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, pp. 1-2. 2023.
Exploring the Effects of Scanpath Feature Engineering for Supervised Image Classification Models
Byrne, Sean Anthony, Virmarie Maquiling, Adam Peter Frederick Reynolds, Luca Polonio, Nora Castner, and Enkelejda Kasneci. "Exploring the Effects of Scanpath Feature Engineering for Supervised Image Classification Models." Proceedings of the ACM on Human-Computer Interaction 7, no. ETRA (2023): 1-18.
Precise localization of corneal reflections in eye images using deep learning trained on synthetic data
Byrne, Sean Anthony, Marcus Nyström, Virmarie Maquiling, Enkelejda Kasneci, and Diederick C. Niehorster. "Precise localization of corneal reflections in eye images using deep learning trained on synthetic data." arXiv preprint arXiv:2304.05673 (2023).
Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction
Daniel Weber, Wolfgang Fuhl, Enkelejda Kasneci, Andreas Zell, HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023.
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Enkelejda Kasneci, Kathrin Sessler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, Stephan Krusche, Gitta Kutyniok, Tilman Michaeli, Claudia Nerdel, Jürgen Pfeffer, Oleksandra Poquet, Michael Sailer, Albrecht Schmidt, Tina Seidel, Matthias Stadler, Jochen Weller, Jochen Kuhn, Gjergji Kasneci. Learning and Individual Differences 103 (2023) 102274, 2023.
Static Laser Feedback Interferometry based Gaze Estimation for Wearable Glasses
Johannes Meyer, Stefan Gering, Enkelejda Kasneci. IEEE Sensors Journal, 2023.
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh. arXiv:2302.02865, 2023.
When are post-hoc conceptual explanations identifiable?
Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, and Gjergji Kasneci. Uncertainty in Artificial Intelligence (UAI), 2023.
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, and Enkelejda Kasneci. NeurIPS Datasets and Benchmarks, 2023.
Exploring Gender Differences in Computational Thinking Learning in a VR Classroom: Developing Machine Learning Models Using Eye-Tracking Data and Explaining the Models
Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner and Enkelejda Kasneci. International Journal of Artificial Intelligence in Education, pages 1–26.
Towards Human-centered Explainable AI: User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-Trang, Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci. arXiv:2210.11584, 2022.
Artificial Intelligence based Position Detection for Hydraulic Cylinders using Scattering Parameters
Chen Xin, Thomas Motz, Wolfgang Fuhl, Andreas Hartel and Enkelejda Kasneci. arXiv:2209.01010, 2022.