Ard Kastrati

According to our database, Ard Kastrati authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Interpretable and Attention-Based Method for Gaze Estimation Using Electroencephalography.

Nina Weng, Martyna Plomecka, Manuel Kaufmann, Ard Kastrati, Roger Wattenhofer, Nicolas Langer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Leveraging Eye Tracking in Digital Classrooms: A Step Towards Multimodal Model for Learning Assistance.

Sean Anthony Byrne, Nora Castner, Ard Kastrati, Martyna Beata Plomecka, William Schaefer, Enkelejda Kasneci, Zoya Bylinskii

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

2022

FACT: Learning Governing Abstractions Behind Integer Sequences.

Peter Belcak, Ard Kastrati, Flavio Schenker, Roger Wattenhofer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications.

Lukas Wolf, Ard Kastrati, Martyna Beata Plomecka, Jie-Ming Li, Dustin Klebe, Alexander Veicht, Roger Wattenhofer, Nicolas Langer

Proceedings of the International Conference on Machine Learning, 2022

Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation.

Ard Kastrati, Martyna Beata Plomecka, Joël Küchler, Nicolas Langer, Roger Wattenhofer

Proceedings of The 1st Gaze Meets ML workshop, 2022

A gaze-based study design to explore how competency evolves during a photo manipulation task.

Nora Castner, Bela Umlauf, Ard Kastrati, Martyna Beata Plomecka, William Schaefer, Enkelejda Kasneci, Zoya Bylinskii

Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

2021

EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction.

Ard Kastrati, Martyna Plomecka, Damian Pascual, Lukas Wolf, Victor Gillioz, Roger Wattenhofer, Nicolas Langer

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Using Deep Learning to Classify Saccade Direction from Brain Activity.

Ard Kastrati, Martyna Plomecka, Roger Wattenhofer, Nicolas Langer

Proceedings of the 2021 Symposium on Eye Tracking Research and Applications, 2021

2020

Multi-Threshold Asynchronous Reliable Broadcast and Consensus.

Martin Hirt, Ard Kastrati, Chen-Da Liu-Zhang

IACR Cryptol. ePrint Arch., 2020

Brief Announcement: Multi-Threshold Asynchronous Reliable Broadcast and Consensus.

Martin Hirt, Ard Kastrati, Chen-Da Liu-Zhang

Proceedings of the 34th International Symposium on Distributed Computing, 2020