Design and Validation of a Mental and Social Stress Induction Protocol - Towards Load-invariant Physiology-based Stress Detection. - Camille Jeunet; Fabien Lotte; Christian Mühl (PhyCS, 2014)

Towards improved BCI based on human learning principles. - Fabien Lotte; Camille Jeunet (BCI, 2015)

Continuous Tactile Feedback for Motor-Imagery Based Brain-Computer Interaction in a Multitasking Context. - Camille Jeunet; Chi Thanh Vi; Daniel Spelmezan; Bernard N'Kaoua; Fabien Lotte; Sriram Subramanian (INTERACT (1), 2015)

Towards Explanatory Feedback for User Training in Brain-Computer Interfaces. - Julia Schumacher; Camille Jeunet; Fabien Lotte (SMC, 2015)

Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study. - Suzy Teillet; Fabien Lotte; Bernard N'Kaoua; Camille Jeunet (SMC, 2016)

When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces. - Jérémy Frey; Jelena Mladenovic; Fabien Lotte; Camille Jeunet; Léa Pillette (CHI Extended Abstracts, 2017)

Towards a Cognitive Model of MI-BCI User Training. - Camille Jeunet; Bernard N'Kaoua; Fabien Lotte (GBCIC, 2017)

Online Classification accuracy is a Poor Metric to Study Mental imagery-based BCI User Learning: an Experimental Demonstration and New Metrics. - Fabien Lotte; Camille Jeunet (GBCIC, 2017)

Peanut: Personalised Emotional Agent for Neurotechnology User-Training. - Léa Pillette; Camille Jeunet; Boris Mansencal; Roger Nkambou; Bernard N'Kaoua; Fabien Lotte (GBCIC, 2017)

"Do You Feel in Control?": Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments. - Camille Jeunet; Louis Albert; Ferran Argelaguet; Anatole Lécuyer (IEEE Trans. Vis. Comput. Graph., 2018)

Are users' traits informative enough to predict/explain their mental-imagery based BCI performances? - Camille Benaroch; Fabien Lotte; Camille Jeunet (GBCIC, 2019)

Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces. - Léa Pillette; Camille Jeunet; Roger Nkambou; Bernard N'Kaoua; Fabien Lotte (CoRR, 2019)

Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated Approach. - André Tricot; Sébastien Puma; Rémi Capa; Michel Audiffren; Nathalie André; Florence Lespiau; Stéphanie Roussel 002; Camille Jeunet; Emilie Massa; Dominique Bellec; Elisabeth Fonteneau; Pom Charras (H-WORKLOAD, 2020)

Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users' Performance. - Eidan Tzdaka; Camille Benaroch; Camille Jeunet; Fabien Lotte (SMC, 2020)

Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials. - Hakim Si-Mohammed; Catarina Lopes Dias; Maria Duarte; Ferran Argelaguet; Camille Jeunet; Géry Casiez; Gernot R. Müller-Putz; Anatole Lécuyer; Reinhold Scherer (VR, 2020)

A physical learning companion for Mental-Imagery BCI User Training. - Léa Pillette; Camille Jeunet; Boris Mansencal; Roger N'Kambou; Bernard N'Kaoua; Fabien Lotte (Int. J. Hum. Comput. Stud., 2020)

Towards BCI-Based Interfaces for Augmented Reality: Feasibility, Design and Evaluation. - Hakim Si-Mohammed; Jimmy Petit; Camille Jeunet; Ferran Argelaguet; Fabien Spindler; Andéol Évain; Nicolas Roussel 001; Géry Casiez; Anatole Lécuyer (IEEE Trans. Vis. Comput. Graph., 2020)

Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy. - Maria-Isabel Casso; Camille Jeunet; Raphaëlle N. Roy (NER, 2021)

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - Xiaoxi Wei; A. Aldo Faisal; Moritz Grosse-Wentrup; Alexandre Gramfort; Sylvain Chevallier; Vinay Jayaram; Camille Jeunet; Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; et al. (NeurIPS (Competition and Demos), 2021)

Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications. - Anton Nijholt; José Luis Contreras-Vidal; Camille Jeunet; Aleksander Väljamäe (Frontiers Comput. Sci., 2022)