An Experimental Comparison of Dimensionality Reduction for Face Verification Methods. - David Masip; Jordi Vitrià (IbPRIA, 2003)

Experimental Study of the Usefulness of External Face Features for Face Classification. - Àgata Lapedriza; David Masip; Jordi Vitrià (CCIA, 2005)

Are External Face Features Useful for Automatic Face Classification? - Àgata Lapedriza; David Masip; Jordi Vitrià (CVPR Workshops, 2005)

The Contribution of External Features to Face Recognition. - Àgata Lapedriza; David Masip; Jordi Vitrià (IbPRIA (2), 2005)

Feature Extraction Methods for Real-Time Face Detection and Classification. - David Masip; Marco Bressan 001; Jordi Vitrià (EURASIP J. Adv. Signal Process., 2005)

Feature extraction for nearest neighbor classification: Application to gender recognition. - David Masip; Jordi Vitrià (Int. J. Intell. Syst., 2005)

An ensemble-based method for linear feature extraction for two-class problems. - David Masip; Ludmila Kuncheva; Jordi Vitrià (Pattern Anal. Appl., 2005)

Face Classification Using Discriminative Features and Classifier Combination. - David Masip Rodo (2005)

Face Verification using External Features. - Àgata Lapedriza; David Masip; Jordi Vitrià (FGR, 2006)

On the Use of External Face Features for Identity Verification. - Àgata Lapedriza; David Masip; Jordi Vitrià (J. Multim., 2006)

Boosted discriminant projections for nearest neighbor classification. - David Masip; Jordi Vitrià (Pattern Recognit., 2006)

Classification of biomedical high-resolution micro-CT images for direct volume rendering. - Maite López-Sánchez; Jesús Cerquides; David Masip; Anna Puig (Artificial Intelligence and Applications, 2007)

A Hierarchical Approach for Multi-task Logistic Regression. - Àgata Lapedriza; David Masip; Jordi Vitrià (IbPRIA (2), 2007)

Face verification by sharing knowledge from different subjects. - David Masip; Àgata Lapedriza; Jordi Vitrià (VISAPP (2), 2007)

On the use of independent tasks for face recognition. - Àgata Lapedriza; David Masip; Jordi Vitrià (CVPR, 2008)

Subject Recognition Using a New Approach for Feature Selection. - Àgata Lapedriza; David Masip; Jordi Vitrià (VISAPP (2), 2008)

Multitask Learning - An Application to Incremental Face Recognition. - David Masip; Àgata Lapedriza; Jordi Vitrià (VISAPP (1), 2008)

A sparse Bayesian approach for joint feature selection and classifier learning. - Àgata Lapedriza; Santi Seguí; David Masip; Jordi Vitrià (Pattern Anal. Appl., 2008)

Shared Feature Extraction for Nearest Neighbor Face Recognition. - David Masip; Jordi Vitrià (IEEE Trans. Neural Networks, 2008)

Feature extraction in face recognition: on the use of internal and external features. - David Masip (VDM Verlag Dr. Müller, Saarbrücken, Germany, 2008)

A Simulation-based Methodology to Assist Decision-makers in Real Vehicle Routing Problems. - Angel A. Juan; Daniel Riera; David Masip; Josep Jorba 001; Javier Faulin (ICEIS (2), 2009)

Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices. - Santi Caballé; Àgata Lapedriza; David Masip; Fatos Xhafa; Ajith Abraham (J. Digit. Inf. Manag., 2009)

Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary. - Oriol Pujol; David Masip (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Boosted Online Learning for Face Recognition. - David Masip; Àgata Lapedriza; Jordi Vitrià (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Automatic point-based facial trait judgments evaluation. - Mario Rojas Quiñones; David Masip; Alexander Todorov; Jordi Vitrià (CVPR, 2010)

Adding Classes Online in Error Correcting Output Codes Framework. - Sergio Escalera; David Masip; Eloi Puertas; Petia Radeva; Oriol Pujol (ICPR, 2010)

Predicting dominance judgements automatically: A machine learning approach. - Mario Rojas Quiñones; David Masip; Jordi Vitrià (FG, 2011)

Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models. - Mario Rojas Quiñones; David Masip; Jordi Vitrià (IbPRIA, 2011)

On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics. - Angel A. Juan; Javier Faulin; Josep Jorba 001; Daniel Riera; David Masip; Barry B. Barrios (J. Oper. Res. Soc., 2011)

Online error correcting output codes. - Sergio Escalera; David Masip; Eloi Puertas; Petia Radeva; Oriol Pujol (Pattern Recognit. Lett., 2011)

The Role of Facial Regions in Evaluating Social Dimensions. - David Masip Rodo; Alexander Todorov; Jordi Vitrià Marca (ECCV Workshops (2), 2012)

Opinion Mining on Educational Resources at the Open University of Catalonia. - Isabel Guitart; Jordi Conesa; Luis Villarejo; Àgata Lapedriza; David Masip; Antoni Perez; Elena Planas (CISIS, 2013)

Emotion Detection Using Hybrid Structural and Appearance Descriptors. - David Sánchez-Mendoza; David Masip; Xavier Baró; Àgata Lapedriza (MDAI, 2013)

Emotions Classification using Facial Action Units Recognition. - David Sánchez-Mendoza; David Masip; Àgata Lapedriza (CCIA, 2014)

Speeding Up Neural Networks for Large Scale Classification using WTA Hashing. - Amir H. Bakhtiary; Àgata Lapedriza; David Masip (CCIA, 2015)

Emotion recognition from mid-level features. - David Sánchez-Mendoza; David Masip; Àgata Lapedriza (Pattern Recognit. Lett., 2015)

Automated Identification and Tracking of Nephrops norvegicus (L.) Using Infrared and Monochromatic Blue Light. - José Antonio García; David Masip; Valerio Sbragaglia; Jacopo Aguzzi (CCIA, 2016)

Combining statistical learning with metaheuristics for the Multi-Depot Vehicle Routing Problem with market segmentation. - Laura Calvet; Alberto Ferrer 002; Maria Isabel Gomes Salema; Angel A. Juan; David Masip (Comput. Ind. Eng., 2016)

Interpreting CNN Models for Apparent Personality Trait Regression. - Carles Ventura; David Masip; Àgata Lapedriza (CVPR Workshops, 2017)

Winner takes all hashing for speeding up the training of neural networks in large class problems. - Amir H. Bakhtiary; Àgata Lapedriza; David Masip (Pattern Recognit. Lett., 2017)

Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition. - Gerard Pons 002; David Masip (CoRR, 2018)

Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis. - Gerard Pons 002; David Masip (IEEE Trans. Affect. Comput., 2018)

Locomotion and gesture tracking in mice and small animals for neurosceince applications: A survey. - Waseem Abbas; David Masip Rodo (CoRR, 2019)

VICSOM: VIsual Clues from SOcial Media for psychological assessment. - Mohammad Mahdi Dehshibi; Gerard Pons 002; Bita Baiani; David Masip (CoRR, 2019)

Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey. - Waseem Abbas; David Masip Rodo (Sensors, 2019)

Limbs Detection and Tracking of Head-Fixed Mice for Behavioral Phenotyping Using Motion Tubes and Deep Learning. - Waseem Abbas; David Masip; Andrea Giovannucci (IEEE Access, 2020)

A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach. - Neda Gholami; Mohammad Mahdi Dehshibi; Andrew Adamatzky; Antonio Rueda-Toicen; Hector Zenil; Mahmood Fazlali; David Masip (J. Inf. Process., 2020)

Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. - Carlos Mougan; David Masip; Jordi Nin; Oriol Pujol (MDAI, 2021)

A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes. - Gereziher Adhane; Mohammad Mahdi Dehshibi; David Masip (IEEE Access, 2021)

Explainable, automated urban interventions to improve pedestrian and vehicle safety. - Cristina Bustos; Daniel Rhoads; Albert Solé-Ribalta; David Masip; Alex Arenas; Àgata Lapedriza; Javier Borge-Holthoefer (CoRR, 2021)

Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training. - Gereziher Adhane; Mohammad Mahdi Dehshibi; David Masip (COINS, 2022)

On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes. - Gereziher Adhane; Mohammad Mahdi Dehshibi; David Masip (IEEE J. Sel. Top. Signal Process., 2022)

Multitask, Multilabel, and Multidomain Learning With Convolutional Networks for Emotion Recognition. - Gerard Pons 002; David Masip (IEEE Trans. Cybern., 2022)

Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. - Carlos Mougan; Klaus Broelemann; David Masip; Gjergji Kasneci; Thanassis Tiropanis; Steffen Staab (CoRR, 2023)

Deep Learning and Computer Vision for Glaucoma Detection: A Review. - Mona Ashtari-Majlan; Mohammad Mahdi Dehshibi; David Masip (CoRR, 2023)

A Deep Multimodal Learning Approach to Perceive Basic Needs of Humans From Instagram Profile. - Mohammad Mahdi Dehshibi; Bita Baiani; Gerard Pons 002; David Masip (IEEE Trans. Affect. Comput., 2023)

BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions. - Mohammad Mahdi Dehshibi; David Masip (CoRR, 2024)

Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging. - Mona Ashtari-Majlan; Mohammad Mahdi Dehshibi; David Masip (CoRR, 2024)

Glaucoma diagnosis in the era of deep learning: A survey. - Mona Ashtari-Majlan; Mohammad Mahdi Dehshibi; David Masip (Expert Syst. Appl., 2024)

ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks. - Mohammad Mahdi Dehshibi; Mona Ashtari-Majlan; Gereziher Adhane; David Masip (Vis. Comput., 2024)

On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process. - Gereziher Adhane; Mohammad Mahdi Dehshibi; Dennis Vetter; David Masip; Gemma Roig (WACV, 2025)