David Masip

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 26

Top Venues

CoRR

CCIA

IEEE Trans. Affect. Comput.

Pattern Recognit. Lett.

Autonomous University of Barcelona (PHD)

Education History

Autonomous University of Barcelona

PHD

Publications

Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging. CoRR (2024)
Mohammad Mahdi Dehshibi, David Masip
BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions. CoRR (2024)
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip
ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks. Vis. Comput. 40 (8) (2024)
Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
Glaucoma diagnosis in the era of deep learning: A survey. Expert Syst. Appl. 256 (2024)
Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
Deep Learning and Computer Vision for Glaucoma Detection: A Review. CoRR (2023)
Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR (2023)
Mohammad Mahdi Dehshibi, Bita Baiani, Gerard Pons, David Masip
A Deep Multimodal Learning Approach to Perceive Basic Needs of Humans From Instagram Profile. IEEE Trans. Affect. Comput. 14 (2) (2023)
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training. COINS (2022)
Gerard Pons, David Masip
Multitask, Multilabel, and Multidomain Learning With Convolutional Networks for Emotion Recognition. IEEE Trans. Cybern. 52 (6) (2022)
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks. CoRR (2022)
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
On the use of uncertainty in classifying Aedes Albopictus mosquitoes. CoRR (2021)
Cristina Bustos, Daniel Rhoads, Albert Solé-Ribalta, David Masip, Alex Arenas, Àgata Lapedriza, Javier Borge-Holthoefer
Explainable, automated urban interventions to improve pedestrian and vehicle safety. CoRR (2021)
Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. MDAI (2021)
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes. IEEE Access 9 (2021)
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
A deep convolutional neural network for classification of Aedes albopictus mosquitoes. CoRR (2021)
Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. CoRR (2021)
Neda Gholami, Mohammad Mahdi Dehshibi, Andrew Adamatzky, Antonio Rueda-Toicen, Hector Zenil, Mahmood Fazlali, David Masip
A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach. J. Inf. Process. 28 (2020)
Waseem Abbas, David Masip, Andrea Giovannucci
Limbs Detection and Tracking of Head-Fixed Mice for Behavioral Phenotyping Using Motion Tubes and Deep Learning. IEEE Access 8 (2020)
Mohammad Mahdi Dehshibi, Gerard Pons, Bita Baiani, David Masip
VICSOM: VIsual Clues from SOcial Media for psychological assessment. CoRR (2019)
Gerard Pons, David Masip
Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis. IEEE Trans. Affect. Comput. 9 (3) (2018)
Gerard Pons, David Masip
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition. CoRR (2018)
Amir H. Bakhtiary, Àgata Lapedriza, David Masip
Winner takes all hashing for speeding up the training of neural networks in large class problems. Pattern Recognit. Lett. 93 (2017)
Carles Ventura, David Masip, Àgata Lapedriza
Interpreting CNN Models for Apparent Personality Trait Regression. CVPR Workshops (2017)
Laura Calvet, Alberto Ferrer, Maria Isabel Gomes Salema, Angel A. Juan, David Masip
Combining statistical learning with metaheuristics for the Multi-Depot Vehicle Routing Problem with market segmentation. Comput. Ind. Eng. 94 (2016)
José Antonio García, David Masip, Valerio Sbragaglia, Jacopo Aguzzi
Automated Identification and Tracking of Nephrops norvegicus (L.) Using Infrared and Monochromatic Blue Light. CCIA (2016)
David Sanchez-Mendoza, David Masip, Àgata Lapedriza
Emotion recognition from mid-level features. Pattern Recognit. Lett. 67 (2015)
Amir H. Bakhtiary, Àgata Lapedriza, David Masip
Speeding Up Neural Networks for Large Scale Classification using WTA Hashing. CoRR (2015)
Amir H. Bakhtiary, Àgata Lapedriza, David Masip
Speeding Up Neural Networks for Large Scale Classification using WTA Hashing. CCIA (2015)
David Sanchez-Mendoza, David Masip, Àgata Lapedriza
Emotions Classification using Facial Action Units Recognition. CCIA (2014)
Isabel Guitart, Jordi Conesa, Luis Villarejo, Àgata Lapedriza, David Masip, Antoni Perez, Elena Planas
Opinion Mining on Educational Resources at the Open University of Catalonia. CISIS (2013)
David Sanchez-Mendoza, David Masip, Xavier Baró, Àgata Lapedriza
Emotion Detection Using Hybrid Structural and Appearance Descriptors. MDAI (2013)
Angel A. Juan, Javier Faulin, Josep Jorba, Daniel Riera, David Masip, Barry B. Barrios
On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics. J. Oper. Res. Soc. 62 (6) (2011)
Mario Rojas Quiñones, David Masip, Jordi Vitrià
Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models. IbPRIA (2011)
Mario Rojas Quiñones, David Masip, Jordi Vitrià
Predicting dominance judgements automatically: A machine learning approach. FG (2011)
Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol
Online error correcting output codes. Pattern Recognit. Lett. 32 (3) (2011)
Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol
Adding Classes Online in Error Correcting Output Codes Framework. ICPR (2010)
Mario Rojas Quiñones, David Masip, Alexander Todorov, Jordi Vitrià
Automatic point-based facial trait judgments evaluation. CVPR (2010)
Santi Caballé, Àgata Lapedriza, David Masip, Fatos Xhafa, Ajith Abraham
Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices. J. Digit. Inf. Manag. 8 (5) (2010)
Angel A. Juan, Daniel Riera, David Masip, Josep Jorba, Javier Faulin
A Simulation-based Methodology to Assist Decision-makers in Real Vehicle Routing Problems. ICEIS (2) (2009)
Santi Caballé, Àgata Lapedriza, David Masip, Fatos Xhafa, Ajith Abraham
Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices. J. Digit. Inf. Manag. 7 (5) (2009)
David Masip, Àgata Lapedriza, Jordi Vitrià
Boosted Online Learning for Face Recognition. IEEE Trans. Syst. Man Cybern. Part B 39 (2) (2009)
Oriol Pujol, David Masip
Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary. IEEE Trans. Pattern Anal. Mach. Intell. 31 (6) (2009)
Àgata Lapedriza, Santi Seguí, David Masip, Jordi Vitrià
A sparse Bayesian approach for joint feature selection and classifier learning. Pattern Anal. Appl. 11 (3-4) (2008)
David Masip, Àgata Lapedriza, Jordi Vitrià
Multitask Learning - An Application to Incremental Face Recognition. VISAPP (1) (2008)
David Masip, Jordi Vitrià
Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Trans. Neural Networks 19 (4) (2008)
Àgata Lapedriza, David Masip, Jordi Vitrià
Subject Recognition Using a New Approach for Feature Selection. VISAPP (2) (2008)
Àgata Lapedriza, David Masip, Jordi Vitrià
On the use of independent tasks for face recognition. CVPR (2008)
Maite López-Sánchez, Jesús Cerquides, David Masip, Anna Puig
Classification of biomedical high-resolution micro-CT images for direct volume rendering. Artificial Intelligence and Applications (2007)
David Masip, Àgata Lapedriza, Jordi Vitrià
Face verification by sharing knowledge from different subjects. VISAPP (2) (2007)
Àgata Lapedriza, David Masip, Jordi Vitrià
A Hierarchical Approach for Multi-task Logistic Regression. IbPRIA (2) (2007)
Àgata Lapedriza, David Masip, Jordi Vitrià
On the Use of External Face Features for Identity Verification. J. Multim. 1 (4) (2006)
David Masip, Jordi Vitrià
Boosted discriminant projections for nearest neighbor classification. Pattern Recognit. 39 (2) (2006)
Àgata Lapedriza, David Masip, Jordi Vitrià
Face Verification using External Features. FGR (2006)
Àgata Lapedriza, David Masip, Jordi Vitrià
Experimental Study of the Usefulness of External Face Features for Face Classification. CCIA (2005)
Àgata Lapedriza, David Masip, Jordi Vitrià
The Contribution of External Features to Face Recognition. IbPRIA (2) (2005)
David Masip, Ludmila Kuncheva, Jordi Vitrià
An ensemble-based method for linear feature extraction for two-class problems. Pattern Anal. Appl. 8 (3) (2005)
David Masip, Jordi Vitrià
Feature extraction for nearest neighbor classification: Application to gender recognition. Int. J. Intell. Syst. 20 (5) (2005)
David Masip, Marco Bressan, Jordi Vitrià
Feature Extraction Methods for Real-Time Face Detection and Classification. EURASIP J. Adv. Signal Process. 2005 (13) (2005)
Àgata Lapedriza, David Masip, Jordi Vitrià
Are External Face Features Useful for Automatic Face Classification? CVPR Workshops (2005)
David Masip, Jordi Vitrià
An Experimental Comparison of Dimensionality Reduction for Face Verification Methods. IbPRIA (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Masip