David Masip - RankMe

65 papers A* 2A 1B 4Misc 3Journal 39Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process. WACV Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter, David Masip, Gemma Roig
2025	J	`jnl`	Spatial-Aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis From 3D OCT Imaging. IEEE J. Biomed. Health Informatics Mona Ashtari-Majlan, David Masip
2024	J	`jnl`	ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks. Vis. Comput. Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip
2024	J	`jnl`	BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions. CoRR Mohammad Mahdi Dehshibi, David Masip
2024	J	`jnl`	Glaucoma diagnosis in the era of deep learning: A survey. Expert Syst. Appl. Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
2024	J	`jnl`	On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process. CoRR Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter, David Masip, Gemma Roig
2024	J	`jnl`	Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging. CoRR Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
2023	J	`jnl`	A Deep Multimodal Learning Approach to Perceive Basic Needs of Humans From Instagram Profile. IEEE Trans. Affect. Comput. Mohammad Mahdi Dehshibi, Bita Baiani, Gerard Pons, David Masip
2023	J	`jnl`	Deep Learning and Computer Vision for Glaucoma Detection: A Review. CoRR Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
2023	J	`jnl`	Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2022	J	`jnl`	ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks. CoRR Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip
2022	—	`conf`	Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training. COINS Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2022	J	`jnl`	Multitask, Multilabel, and Multidomain Learning With Convolutional Networks for Emotion Recognition. IEEE Trans. Cybern. Gerard Pons, David Masip
2022	J	`jnl`	On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes. IEEE J. Sel. Top. Signal Process. Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2021	J	`jnl`	A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes. IEEE Access Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2021	J	`jnl`	A deep convolutional neural network for classification of Aedes albopictus mosquitoes. CoRR Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2021	J	`jnl`	Explainable, automated urban interventions to improve pedestrian and vehicle safety. CoRR Cristina Bustos, Daniel Rhoads, Albert Solé-Ribalta, David Masip, Alex Arenas, Àgata Lapedriza, Javier Borge-Holthoefer
2021	J	`jnl`	On the use of uncertainty in classifying Aedes Albopictus mosquitoes. CoRR Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2021	B	`conf`	Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. MDAI Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol
2021	J	`jnl`	Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. CoRR Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol
2020	J	`jnl`	A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach. J. Inf. Process. Neda Gholami, Mohammad Mahdi Dehshibi, Andrew Adamatzky, Antonio Rueda-Toicen, Hector Zenil, Mahmood Fazlali, David Masip
2020	J	`jnl`	Limbs Detection and Tracking of Head-Fixed Mice for Behavioral Phenotyping Using Motion Tubes and Deep Learning. IEEE Access Waseem Abbas, David Masip, Andrea Giovannucci
2019	J	`jnl`	VICSOM: VIsual Clues from SOcial Media for psychological assessment. CoRR Mohammad Mahdi Dehshibi, Gerard Pons, Bita Baiani, David Masip
2018	J	`jnl`	Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition. CoRR Gerard Pons, David Masip
2018	J	`jnl`	Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis. IEEE Trans. Affect. Comput. Gerard Pons, David Masip
2017	—	`conf`	Interpreting CNN Models for Apparent Personality Trait Regression. CVPR Workshops Carles Ventura, David Masip, Àgata Lapedriza
2017	J	`jnl`	Winner takes all hashing for speeding up the training of neural networks in large class problems. Pattern Recognit. Lett. Amir H. Bakhtiary, Àgata Lapedriza, David Masip
2016	—	`conf`	Automated Identification and Tracking of Nephrops norvegicus (L.) Using Infrared and Monochromatic Blue Light. CCIA José Antonio García, David Masip, Valerio Sbragaglia, Jacopo Aguzzi
2016	J	`jnl`	Combining statistical learning with metaheuristics for the Multi-Depot Vehicle Routing Problem with market segmentation. Comput. Ind. Eng. Laura Calvet, Alberto Ferrer, Maria Isabel Gomes Salema, Angel A. Juan, David Masip
2015	J	`jnl`	Emotion recognition from mid-level features. Pattern Recognit. Lett. David Sánchez-Mendoza, David Masip, Àgata Lapedriza
2015	—	`conf`	Speeding Up Neural Networks for Large Scale Classification using WTA Hashing. CCIA Amir H. Bakhtiary, Àgata Lapedriza, David Masip
2015	J	`jnl`	Speeding Up Neural Networks for Large Scale Classification using WTA Hashing. CoRR Amir H. Bakhtiary, Àgata Lapedriza, David Masip
2014	—	`conf`	Emotions Classification using Facial Action Units Recognition. CCIA David Sánchez-Mendoza, David Masip, Àgata Lapedriza
2013	B	`conf`	Emotion Detection Using Hybrid Structural and Appearance Descriptors. MDAI David Sánchez-Mendoza, David Masip, Xavier Baró, Àgata Lapedriza
2013	Misc	`conf`	Opinion Mining on Educational Resources at the Open University of Catalonia. CISIS Isabel Guitart, Jordi Conesa, Luis Villarejo, Àgata Lapedriza, David Masip, Antoni Perez, Elena Planas
2011	Misc	`conf`	Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models. IbPRIA Mario Rojas Quiñones, David Masip, Jordi Vitrià
2011	J	`jnl`	On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics. J. Oper. Res. Soc. Angel A. Juan, Javier Faulin, Josep Jorba, Daniel Riera, David Masip, Barry B. Barrios
2011	J	`jnl`	Online error correcting output codes. Pattern Recognit. Lett. Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol
2011	B	`conf`	Predicting dominance judgements automatically: A machine learning approach. FG Mario Rojas Quiñones, David Masip, Jordi Vitrià
2010	B	`conf`	Adding Classes Online in Error Correcting Output Codes Framework. ICPR Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol
2010	A*	`conf`	Automatic point-based facial trait judgments evaluation. CVPR Mario Rojas Quiñones, David Masip, Alexander Todorov, Jordi Vitrià
2010	J	`jnl`	Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices. J. Digit. Inf. Manag. Santi Caballé, Àgata Lapedriza, David Masip, Fatos Xhafa, Ajith Abraham
2009	—	`conf`	A Simulation-based Methodology to Assist Decision-makers in Real Vehicle Routing Problems. ICEIS (2) Angel A. Juan, Daniel Riera, David Masip, Josep Jorba, Javier Faulin
2009	J	`jnl`	Boosted Online Learning for Face Recognition. IEEE Trans. Syst. Man Cybern. Part B David Masip, Àgata Lapedriza, Jordi Vitrià
2009	J	`jnl`	Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices. J. Digit. Inf. Manag. Santi Caballé, Àgata Lapedriza, David Masip, Fatos Xhafa, Ajith Abraham
2009	J	`jnl`	Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary. IEEE Trans. Pattern Anal. Mach. Intell. Oriol Pujol, David Masip
2008	J	`jnl`	A sparse Bayesian approach for joint feature selection and classifier learning. Pattern Anal. Appl. Àgata Lapedriza, Santi Seguí, David Masip, Jordi Vitrià
2008	—	`book`	Feature extraction in face recognition: on the use of internal and external features. David Masip
2008	—	`conf`	Multitask Learning - An Application to Incremental Face Recognition. VISAPP (1) David Masip, Àgata Lapedriza, Jordi Vitrià
2008	A*	`conf`	On the use of independent tasks for face recognition. CVPR Àgata Lapedriza, David Masip, Jordi Vitrià
2008	J	`jnl`	Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Trans. Neural Networks David Masip, Jordi Vitrià
2008	—	`conf`	Subject Recognition Using a New Approach for Feature Selection. VISAPP (2) Àgata Lapedriza, David Masip, Jordi Vitrià
2007	—	`conf`	A Hierarchical Approach for Multi-task Logistic Regression. IbPRIA (2) Àgata Lapedriza, David Masip, Jordi Vitrià
2007	—	`conf`	Classification of biomedical high-resolution micro-CT images for direct volume rendering. Artificial Intelligence and Applications Maite López-Sánchez, Jesús Cerquides, David Masip, Anna Puig
2007	—	`conf`	Face verification by sharing knowledge from different subjects. VISAPP (2) David Masip, Àgata Lapedriza, Jordi Vitrià
2006	J	`jnl`	Boosted discriminant projections for nearest neighbor classification. Pattern Recognit. David Masip, Jordi Vitrià
2006	—	`conf`	Face Verification using External Features. FGR Àgata Lapedriza, David Masip, Jordi Vitrià
2006	J	`jnl`	On the Use of External Face Features for Identity Verification. J. Multim. Àgata Lapedriza, David Masip, Jordi Vitrià
2005	J	`jnl`	An ensemble-based method for linear feature extraction for two-class problems. Pattern Anal. Appl. David Masip, Ludmila Kuncheva, Jordi Vitrià
2005	—	`conf`	Are External Face Features Useful for Automatic Face Classification? CVPR Workshops Àgata Lapedriza, David Masip, Jordi Vitrià
2005	—	`conf`	Experimental Study of the Usefulness of External Face Features for Face Classification. CCIA Àgata Lapedriza, David Masip, Jordi Vitrià
2005	J	`jnl`	Feature Extraction Methods for Real-Time Face Detection and Classification. EURASIP J. Adv. Signal Process. David Masip, Marco Bressan, Jordi Vitrià
2005	J	`jnl`	Feature extraction for nearest neighbor classification: Application to gender recognition. Int. J. Intell. Syst. David Masip, Jordi Vitrià
2005	—	`conf`	The Contribution of External Features to Face Recognition. IbPRIA (2) Àgata Lapedriza, David Masip, Jordi Vitrià
2003	Misc	`conf`	An Experimental Comparison of Dimensionality Reduction for Face Verification Methods. IbPRIA David Masip, Jordi Vitrià