Artur Piet

According to our database, Artur Piet authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning.

Xinyu Huang, Franziska Schmelter, Muhammad Tausif Irshad, Artur Piet, Muhammad Adeel Nisar, Christian Sina, Marcin Grzegorzek

Comput. Biol. Medicine, November, 2023

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation.

Xinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, Muhammad Adeel Nisar, Artur Piet, Marcin Grzegorzek

Sensors, April, 2023

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks.

Rafal Doniec, Justyna Konior, Szymon Siecinski, Artur Piet, Muhammad Tausif Irshad, Natalia Piaseczna, Md. Abid Hasan, Frédéric Li, Muhammad Adeel Nisar, Marcin Grzegorzek

Sensors, 2023

Sensor-Based Detection of Food Hypersensitivity Using Machine Learning.

Lennart Jablonski, Torge Jensen, Greta M. Ahlemann, Xinyu Huang, Vivian V. Tetzlaff-Lelleck, Artur Piet, Franziska Schmelter, Valerie S. Dinkler, Christian Sina, Marcin Grzegorzek

Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition.

Md. Abid Hasan, Frédéric Li, Artur Piet, Philip Gouverneur, Muhammad Tausif Irshad, Marcin Grzegorzek

Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

2022

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors.

Muhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, Jana Hartz, Olaf Flak, Frédéric Li, Philip Gouverneur, Artur Piet, Kerstin M. Oltmanns, Marcin Grzegorzek

Sensors, 2022

2018

Biomedical Data Acquisition and Processing to Recognize Emotions for Affective Learning.

Armin Grünewald, David Kroenert, Jonas Poehler, Rainer Brück, Frédéric Li, Julian Littau, Katrin Schnieber, Artur Piet, Marcin Grzegorzek, Henrik Kampling, Björn Niehaves

Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018