Here is a list of my publications. You can also consult my Google Scholar profile if you prefer.

2025

Article in an international peer-reviewed journal

[7] Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors. Florent Imbert, Eric Anquetil, Yann Soullard, Romain Tavenard. Pattern Recognition.

Conference Paper

[9] Write on Paper and Get the Online Digital Trace: A New Era for Handwriting. Florent Imbert, Yann Soullard, Eric Anquetil, Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Peter Kämpf. 22nd Conference of the International Graphonomics Society (IGS 2025).

[10] AI Must not be Fully Autonomous. Tosin Adewumi, Lama Alkhaled, Florent Imbert, Hui Han, Nudrat Habib, Karl Löwenmark. Northern Lights Deep Learning Conference 2026.

[11] A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN). F. Imbert, T. Adewumi and H. Han. 37th International Conference on Tools with Artificial Intelligence (ICTAI) 2025.

2024

Conference Paper

[6] Domain adaptation for handwriting trajectory reconstruction from IMU sensors. Florent Imbert, Romain Tavenard, Yann Soullard, Eric Anquetil. ICDAR 2024 Workshops, ADAPDA, Aug 2024, Athènes, Greece.

[5] KIHT: Kaligo-based Intelligent Handwriting Teacher. Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, et al.. DATE 2024, Mar 2024, Valencia, Spain.

Communication at the SIFED symposium in France without proceeding

[8] Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors. Florent Imbert, Eric Anquetil, Yann Soullard, Romain Tavenard., Symposium International Francophone sur l’Ecrit et le Document (SIFED’2024), 2024, Nantes, France

2023

Article in an international peer-reviewed journal (+ presentation at ICDAR 2023 – Journal Track)

[2] Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network. Wassim Swaileh, Florent Imbert, Yann Soullard, Romain Tavenard, Eric Anquetil, IJDAR (2023)

Conference Paper

[4] Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. Alexey Serdyuk, Fabian Kreß, Micha Hiegle, Tanja Harbaum, Jürgen Becker, et al.. IEEE 9th World Forum on Internet of Things, Oct 2023, Aveiro, Portugal.

Conference poster at the SIFED symposium in France without proceeding

[3] Adaptation de domaine pour la reconstruction de la trajectoire du stylo à partir de capteurs cinématiques, Florent Imbert, Eric Anquetil, Romain Tavenard, Yann Soullard, Symposium International Francophone sur l’Ecrit et le Document (SIFED’2023), Juin 2023, Paris, France

2022

Communication at the SIFED symposium in France without proceeding

[1] Toward Deep neural network for pen trajectory reconstruction from kinematic sensors, Florent Imbert, Eric Anquetil, Romain Tavenard, Yann Soullard, Wassim Swaileh, Symposium International Francophone sur l’Ecrit et le Document (SIFED’2022), Oct 2022, Rennes, France