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2020 – today
- 2024
[j26]Mona Ashtari-Majlan
, Mohammad Mahdi Dehshibi, David Masip:
Glaucoma diagnosis in the era of deep learning: A survey. Expert Syst. Appl. 256: 124888 (2024)- [j25]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): 5407-5419 (2024) - [i13]Mohammad Mahdi Dehshibi, David Masip:
BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions. CoRR abs/2402.13955 (2024) - [i12]Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip:
Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging. CoRR abs/2403.05702 (2024) - 2023
- [j24]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): 944-956 (2023) - [i11]Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR abs/2303.08081 (2023) - [i10]Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip:
Deep Learning and Computer Vision for Glaucoma Detection: A Review. CoRR abs/2307.16528 (2023) - 2022
- [j23]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): 224-233 (2022) - [j22]Gerard Pons, David Masip:
Multitask, Multilabel, and Multidomain Learning With Convolutional Networks for Emotion Recognition. IEEE Trans. Cybern. 52(6): 4764-4771 (2022) - [c25]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training. COINS 2022: 1-5 - [i9]Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip:
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks. CoRR abs/2203.01289 (2022) - 2021
- [j21]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes. IEEE Access 9: 72681-72690 (2021) - [c24]Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. MDAI 2021: 168-180 - [i8]Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. CoRR abs/2105.13783 (2021) - [i7]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 abs/2110.11672 (2021) - [i6]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
On the use of uncertainty in classifying Aedes Albopictus mosquitoes. CoRR abs/2110.15912 (2021) - [i5]Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
A deep convolutional neural network for classification of Aedes albopictus mosquitoes. CoRR abs/2110.15956 (2021) - 2020
- [j20]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: 37891-37901 (2020) - [j19]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: 161-168 (2020)
2010 – 2019
- 2019
- [j18]Waseem Abbas, David Masip Rodo:
Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey. Sensors 19(15): 3274 (2019) - [i4]Waseem Abbas, David Masip Rodo:
Locomotion and gesture tracking in mice and small animals for neurosceince applications: A survey. CoRR abs/1903.10422 (2019) - [i3]Mohammad Mahdi Dehshibi, Gerard Pons, Bita Baiani, David Masip:
VICSOM: VIsual Clues from SOcial Media for psychological assessment. CoRR abs/1905.06203 (2019) - 2018
- [j17]Gerard Pons, David Masip:
Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis. IEEE Trans. Affect. Comput. 9(3): 343-350 (2018) - [i2]Gerard Pons, David Masip:
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition. CoRR abs/1802.06664 (2018) - 2017
- [j16]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: 38-47 (2017) - [c23]Carles Ventura, David Masip, Àgata Lapedriza:
Interpreting CNN Models for Apparent Personality Trait Regression. CVPR Workshops 2017: 1705-1713 - 2016
- [j15]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: 93-104 (2016) - [c22]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: 9-18 - 2015
- [j14]David Sánchez-Mendoza, David Masip, Àgata Lapedriza:
Emotion recognition from mid-level features. Pattern Recognit. Lett. 67: 66-74 (2015) - [c21]Amir H. Bakhtiary, Àgata Lapedriza, David Masip:
Speeding Up Neural Networks for Large Scale Classification using WTA Hashing. CCIA 2015: 173-182 - [i1]Amir H. Bakhtiary, Àgata Lapedriza, David Masip:
Speeding Up Neural Networks for Large Scale Classification using WTA Hashing. CoRR abs/1504.07488 (2015) - 2014
- [c20]David Sánchez-Mendoza, David Masip, Àgata Lapedriza:
Emotions Classification using Facial Action Units Recognition. CCIA 2014: 55-64 - 2013
- [c19]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: 385-390 - [c18]David Sánchez-Mendoza, David Masip, Xavier Baró, Àgata Lapedriza:
Emotion Detection Using Hybrid Structural and Appearance Descriptors. MDAI 2013: 105-116 - 2012
- [c17]David Masip Rodo, Alexander Todorov, Jordi Vitrià Marca:
The Role of Facial Regions in Evaluating Social Dimensions. ECCV Workshops (2) 2012: 210-219 - 2011
- [j13]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): 1085-1097 (2011) - [j12]Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol:
Online error correcting output codes. Pattern Recognit. Lett. 32(3): 458-467 (2011) - [c16]Mario Rojas Quiñones, David Masip, Jordi Vitrià:
Predicting dominance judgements automatically: A machine learning approach. FG 2011: 939-944 - [c15]Mario Rojas Quiñones, David Masip, Jordi Vitrià:
Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models. IbPRIA 2011: 371-378 - 2010
- [j11]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): 323-330 (2010) - [c14]Mario Rojas Quiñones, David Masip, Alexander Todorov, Jordi Vitrià:
Automatic point-based facial trait judgments evaluation. CVPR 2010: 2715-2720 - [c13]Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, Oriol Pujol:
Adding Classes Online in Error Correcting Output Codes Framework. ICPR 2010: 2945-2948
2000 – 2009
- 2009
- [j10]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): 290-297 (2009) - [j9]Oriol Pujol, David Masip:
Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1140-1146 (2009) - [j8]David Masip, Àgata Lapedriza, Jordi Vitrià:
Boosted Online Learning for Face Recognition. IEEE Trans. Syst. Man Cybern. Part B 39(2): 530-538 (2009) - [c12]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: 212-217 - 2008
- [b2]David Masip:
Feature extraction in face recognition: on the use of internal and external features. VDM Verlag Dr. Müller, Saarbrücken, Germany 2008, ISBN 978-3-8364-7295-1, pp. 1-158 - [j7]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): 299-308 (2008) - [j6]David Masip, Jordi Vitrià:
Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Trans. Neural Networks 19(4): 586-595 (2008) - [c11]Àgata Lapedriza, David Masip, Jordi Vitrià:
On the use of independent tasks for face recognition. CVPR 2008 - [c10]Àgata Lapedriza, David Masip, Jordi Vitrià:
Subject Recognition Using a New Approach for Feature Selection. VISAPP (2) 2008: 61-66 - [c9]David Masip, Àgata Lapedriza, Jordi Vitrià:
Multitask Learning - An Application to Incremental Face Recognition. VISAPP (1) 2008: 585-590 - 2007
- [c8]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: 373-378 - [c7]Àgata Lapedriza, David Masip, Jordi Vitrià:
A Hierarchical Approach for Multi-task Logistic Regression. IbPRIA (2) 2007: 258-265 - [c6]David Masip, Àgata Lapedriza, Jordi Vitrià:
Face verification by sharing knowledge from different subjects. VISAPP (2) 2007: 286-289 - 2006
- [j5]Àgata Lapedriza, David Masip, Jordi Vitrià:
On the Use of External Face Features for Identity Verification. J. Multim. 1(4): 11-20 (2006) - [j4]David Masip, Jordi Vitrià:
Boosted discriminant projections for nearest neighbor classification. Pattern Recognit. 39(2): 164-170 (2006) - [c5]Àgata Lapedriza, David Masip, Jordi Vitrià:
Face Verification using External Features. FGR 2006: 132-137 - 2005
- [b1]David Masip Rodo:
Face Classification Using Discriminative Features and Classifier Combination. Autonomous University of Barcelona, Spain, 2005 - [j3]David Masip, Marco Bressan, Jordi Vitrià:
Feature Extraction Methods for Real-Time Face Detection and Classification. EURASIP J. Adv. Signal Process. 2005(13): 2061-2071 (2005) - [j2]David Masip, Jordi Vitrià:
Feature extraction for nearest neighbor classification: Application to gender recognition. Int. J. Intell. Syst. 20(5): 561-576 (2005) - [j1]David Masip, Ludmila Kuncheva, Jordi Vitrià:
An ensemble-based method for linear feature extraction for two-class problems. Pattern Anal. Appl. 8(3): 227-237 (2005) - [c4]Àgata Lapedriza, David Masip, Jordi Vitrià:
Experimental Study of the Usefulness of External Face Features for Face Classification. CCIA 2005: 99-106 - [c3]Àgata Lapedriza, David Masip, Jordi Vitrià:
Are External Face Features Useful for Automatic Face Classification? CVPR Workshops 2005: 151 - [c2]Àgata Lapedriza, David Masip, Jordi Vitrià:
The Contribution of External Features to Face Recognition. IbPRIA (2) 2005: 537-544 - 2003
- [c1]David Masip, Jordi Vitrià:
An Experimental Comparison of Dimensionality Reduction for Face Verification Methods. IbPRIA 2003: 530-537
Coauthor Index
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last updated on 2024-12-12 21:02 CET by the dblp team
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