Frédéric Li

According to our database, Frédéric Li authored at least 23 papers between 2015 and 2023.

Collaborative distances:

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

2023

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data.

Muhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar, Xinyu Huang, Martje Buss, Leonie Kloep, Corinna Peifer, Barbara Kozusznik, Anita Pollak, Adrian Pyszka, Olaf Flak, Marcin Grzegorzek

Comput. Biol. Medicine, November, 2023

Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition.

Philip Gouverneur, Frédéric Li, Kimiaki Shirahama, Luisa Luebke, Waclaw M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek

Sensors, February, 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

Embedding-Based Music Emotion Recognition Using Composite Loss.

Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama

IEEE Access, 2023

WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living.

Robert Schumann, Frédéric Li, 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

A Dataset for classification of road and types using EOG smart glasses.

Rafal Doniec, Natalia Piaseczna, Frédéric Li

Dataset, September, 2022

A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars.

Hawzhin Hozhabr Pour, Frédéric Li, Lukas Wegmeth, Christian Trense, Rafal Doniec, Marcin Grzegorzek, Roland Wismüller

Sensors, 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

Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data.

Gabriela Augustinov, Muhammad Adeel Nisar, Frédéric Li, Seyed Amir Hossein Tabatabaei, Marcin Grzegorzek, Keywan Sohrabi, Sebastian J. F. Fudickar

Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence, 2022

2021

Deep learning for time-series classification enhanced by transfer learning based on sensor modality discrimination.

Frédéric Li

PhD thesis, 2021

Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition.

Philip Gouverneur, Frédéric Li, Waclaw M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek

Sensors, 2021

Cross-modal Music Emotion Recognition Using Composite Loss-based Embeddings.

Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama

CoRR, 2021

2020

Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition.

Muhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, Xinyu Huang, Marcin Grzegorzek

Sensors, 2020

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification.

Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang, Marcin Grzegorzek

Sensors, 2020

Sleep stage classification for child patients using DeConvolutional Neural Network.

Xinyu Huang, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek

Artif. Intell. Medicine, 2020

2018

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.

Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Marcin Grzegorzek

Sensors, 2018

Sensor Headband for Emotion Recognition in a Virtual Reality Environment.

David Krönert, Armin Grünewald, Frédéric Li, Marcin Grzegorzek, Rainer Brück

Proceedings of the Information Technology in Biomedicine, 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

2017

Real-Time Gesture Recognition using a Particle Filtering Approach.

Frédéric Li, Lukas Köping, Sebastian Schmitz, Marcin Grzegorzek

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Gait Recognition Using Motion Trajectory Analysis.

Muhammad Hassan Khan, Frédéric Li, Muhammad Shahid Farid, Marcin Grzegorzek

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

2015

Extracting 3D Trajectories of Objects from 2D Videos using Particle Filter.

Zeyd Boukhers, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Object detection and depth estimation for 3D trajectory extraction.

Zeyd Boukhers, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek

Proceedings of the 13th International Workshop on Content-Based Multimedia Indexing, 2015