Character-Level Interaction in Multimodal Computer-Assisted Transcription of Text Images. - Daniel Martín-Albo; Verónica Romero 001; Alejandro H. Toselli; Enrique Vidal 001 (IbPRIA, 2011)

Multimodal Computer-Assisted transcription of Text Images at Character-Level Interaction. - Daniel Martín-Albo; Verónica Romero 001; Alejandro H. Toselli; Enrique Vidal 001 (Int. J. Pattern Recognit. Artif. Intell., 2012)

An Experimental Study of Pruning Techniques in Handwritten Text Recognition Systems. - Daniel Martín-Albo; Verónica Romero 001; Enrique Vidal 001 (IbPRIA, 2013)

Interactive Off-Line Handwritten Text Transcription Using On-Line Handwritten Text as Feedback. - Daniel Martín-Albo; Verónica Romero 001; Enrique Vidal 001 (ICDAR, 2013)

Training of On-Line Handwriting Text Recognizers with Synthetic Text Generated Using the Kinematic Theory of Rapid Human Movements. - Daniel Martín-Albo; Rejean Plamondon; Enrique Vidal 001 (ICFHR, 2014)

Escritoire: A Multi-touch Desk with e-Pen Input for Capture, Management and Multimodal Interactive Transcription of Handwritten Documents. - Daniel Martín-Albo; Verónica Romero 001; Enrique Vidal 001 (IbPRIA, 2015)

Improving sigma-lognormal parameter extraction. - Daniel Martín-Albo; Rejean Plamondon; Enrique Vidal 001 (ICDAR, 2015)

On the Design of Personal Digital Bodyguards: Impact of Hardware Resolution on Handwriting Analysis. - Daniel Martín-Albo; Luis A. Leiva; Rejean Plamondon (ICFHR, 2016)

G3: bootstrapping stroke gestures design with synthetic samples and built-in recognizers. - Daniel Martín-Albo; Luis A. Leiva (MobileHCI Adjunct, 2016)

Strokes of insight: User intent detection and kinematic compression of mouse cursor trails. - Daniel Martín-Albo; Luis A. Leiva; Jeff Huang 002; Réjean Plamondon (Inf. Process. Manag., 2016)

Gestures à Go Go: Authoring Synthetic Human-Like Stroke Gestures Using the Kinematic Theory of Rapid Movements. - Luis A. Leiva; Daniel Martín-Albo; Réjean Plamondon (ACM Trans. Intell. Syst. Technol., 2016)

Synthesizing Stroke Gestures Across User Populations: A Case for Users with Visual Impairments. - Luis A. Leiva; Daniel Martín-Albo; Radu-Daniel Vatavu (CHI, 2017)

The Kinematic Theory Produces Human-Like Stroke Gestures. - Luis A. Leiva; Daniel Martín-Albo; Réjean Plamondon (Interact. Comput., 2017)

KeyTime: Super-Accurate Prediction of Stroke Gesture Production Times. - Luis A. Leiva; Daniel Martín-Albo; Réjean Plamondon; Radu-Daniel Vatavu (CHI, 2018)

Crowdsourcing Online Handwriting Acquisition to Develop and Deploy a Unicode Character Classifier. - Francisco Alvaro; Daniel Martín-Albo (ICFHR, 2018)

GATO: predicting human performance with multistroke and multitouch gesture input. - Luis A. Leiva; Daniel Martín-Albo; Radu-Daniel Vatavu (MobileHCI, 2018)

Predicting stroke gesture input performance for users with motor impairments. - Ovidiu-Ciprian Ungurean; Radu-Daniel Vatavu; Luis A. Leiva; Daniel Martín-Albo (MobileHCI Adjunct, 2018)

iMuSciCA: Interactive Music Science Collaborative Activities for STEAM Learning. - Vassilis Katsouros; Evita F. Fotinea; Renaat Frans; Erica Andreotti; Petros Stergiopoulos; Manolis Chaniotakis; Thomas Fischer; Robert Piéchaud; Zoltan Karpati; Pierre Laborde; Daniel Martín-Albo; Fotini Simistira; et al. (Designing for the User Experience in Learning Systems, 2018)

Stroke Gesture Synthesis in Human-Computer Interaction. - Luis A. Leiva; Daniel Martín-Albo; Radu-Daniel Vatavu; Réjean Plamondon (The Lognormality Principle, 2020)

Omnis Prædictio: Estimating the full spectrum of human performance with stroke gestures. - Luis A. Leiva; Radu-Daniel Vatavu; Daniel Martín-Albo; Réjean Plamondon (Int. J. Hum. Comput. Stud., 2020)