Publications
International journals
A. Khoder amd F. Dornaika. An enhanced approach to the robust discriminant analysis and class sparsity based embedding. Neural Networks, 2021.
F. Dornaika. Elastic embedding through graph convolution based regression for semisupervised classification. ACM Transactions on Knowledge Discovery from Data , 2021.
I. Bendjoudi, F. Vanderhaegen, D. Hamad, and F. Dornaika. Multi-label multi-task CNN approach for context-based emotion recognition. Information Fusion, 2021.
R. Zhu, F. Dornaika, and Y. Ruichek. Inductive Semi-supervised Learning with Graph Convolution Based Regression. Neurocomputing, In press 2021.
F. Khattar F. Luthon, and B. Larroque, F. Dornaika. Visual localization and servoing for drone use in indoor remote lab environment. Machine Vision and Applications, 2021.
F. Khattar F. Luthon, and B. Larroque, F. Dornaika. Visual localization and servoing for drone use in indoor remote lab environment. Machine Vision and Applications, 2021.
A. Khoder, F. Dornaika. A Hybrid Discriminant Embedding with Feature Selection: Application to Image Categorization. Applied Intelligence, 2021.
S. Bahrami, F. Dornaika, A. Bosaghzadeh. Joint auto-weighted graph fusion and scalable semi-supervised learning. Information Fusion, volume 66, pp. 213-228 2021.
F. Dornaika. Multi-layer Linear Embedding with feature subset selection. Knowledgeand Information Systems, ISSN: 0219-1377, 2021.
F. Dornaika. Flexible data representation with graph Convolution for semi-supervised learning. Neural Computation and Applications, 2021.
F. Dornaika, A. Baradaaji, and Y. El Traboulsi. Semi-supervised classification via simultaneous label and discriminant embedding estimation Information Sciences, volume 546, pp. 146-165, 2021.
F. Dornaika. Joint feature and instance selection using manifold data criteria: Application to image classification. Artificial Intelligence Review., 2020.
F. Dornaika, A. Moujahid, K. Wang, X. Feng. Efficient deep discriminant embedding: Application to face beauty prediction and classification. Engineering Applications of Artificial Intelligence, volume 95, 103831, 2020
O. Guehairia, A. Ouamane, F. Dornaika, and A. Taleb-Ahmed. Feature fusion via Deep Random Forest for facial age estimation. Neural Networks, volume 130, pp. 238-252, 2020.
S. Bekhouche, F. Dornaika, and A. Benlamoudi, A. Ouafi, and A. Taleb-Ahmed. A Comparative Study of Human Facial Age Estimation: Handcrafted Features vs. Deep Features. Multimedia Tools and Applications,, volume 79, pp. 26605-26622, 2020.
R. Zhu, F. Dornaika, and Y. Ruichek. Semi-supervised elastic manifold embedding with Deep Learning architecture. Pattern Recognition. volume 107, 107425, 2020.
F. Dornaika and A. Khoder. Robust Discriminant Analysis with Feature Selection and Inter-class Sparsity. Neural Networks, ISSN: 0893-6080, volume 127, pp. 141-159, 2020.
M. T. Kejani, F. Dornaika and H. Talebi. Graph Convolution Networks with Manifold Regularization for Semi-Supervised Learning. Neural Networks, volume 127, pp. 160-167, 2020
F. Bougourzi, F. Dornaika, K. Mokrani, A. Taleb-Ahmed, and Y. Ruichek. Fusion of Transformed Deep and Shallow Features (FTDS) for Image-Based Facial Expression Recognition. Expert Systems with Applications, volume 156, 113459, 2020.
A. Chergui, S. Ouchtati, S. Mavromatis, S. Bekhouche, J. Sequeira and F. Dornaika. Kinship verification through facial images using multi-scale and multi-level handcrafted features. Journal of Electronic Imaging, 29(2), 023017, 2020.
A. Bosaghzadeh and F. Dornaika. Feature extraction from null and non-null spaces of kernel local discriminant embedding for face image classification. Knowledge and Information Systems, volume 62, pp. 3217-3238, 2020.
J. Geonatxea, L. Unzueta, F. Dornaika, and O. Otaegui. Efficient deformable 3D face model tracking with limited hardware resources. Multimedia Tools and Applications, 79, pp. 12373-12400, 2020.
A. Bosaghzadeh and F. Dornaika. Incremental and dynamic graph construction with application to image classification. Expert Systems with Applications, volume 144, 113117, 2020.
F. Dornaika, Y. El Traboulsi, and Y. Ruichek. Parameter self-tuning schemes for the two phase test sample sparse representation classifier. International Journal of Machine Learning and Cybernetics,, 11(7), 1387-1403, 2020.
F. Dornaika. Sparse graphs using global and local smoothness constraints. International Journal of Machine Learning and Cybernetics, 11(6), pp. 1241-1251, 2020.
F. Dornaika, K. Wang, I. Arganda-Carreras, A. Elorza, and A. Moujahid. Toward Graphbased Semi-supervised Face Beauty Prediction. Expert Systems with Applications,, volume 142, 112990, 2020.
F. Dornaika, S. Bekhouche, and I. Arganda-Carreras. Robust regression with deep Convolutional Neural Networks for facial age estimation: An empirical study. Expert Systems with Applications, volume 141, 112942, 2020.
F. Dornaika. Multi-layer manifold learning with feature selection. Applied Intelligence, 50, pp. 1859-1871, 2020.
F. Dornaika, A. Elorza, K. Wang and I. Arganda-Carreras. Image-based face beauty analysis via graph-Based semi-supervised learning. Multimedia Tools and Applications,, 79, pp. 3005-3030, 2020.
F. Dornaika, and L. Weng. Sparse graphs with smoothness constraints: Application to dimensionality reduction and semi-supervised classification. Pattern Recognition. Volume 95, pp. 285-295, November 2020.
F. Dornaika, I. Arganda-Carreras, and O. Serradilla. Transfer learning and feature fusion for kinship verification. Neural Computation and Applications, 32, pp. 7139-7151, 2020.
C. Chahla, H. Snoussi, F. Abdallah, and F. Dornaika. Learned vs. handcrafted features for person re-identification. International Journal of Pattern Recognition and Artificial Intelligence, 34(04), 2020.
F. Dornaika, K. Hammoudi, M. Melkemi, and T. Phan. An efficient pyramid multi-level image descriptor: Application to image-based parking lot monitoring. Signal, Image and Video Processing. 13, pp. 1611-1617, 2019.
F. Dornaika. Active two phase Collaborative Representation Classifier. ACM Transactions on Knowledge Discovery from Data, 13:4, pp. 36:1-36:10, 2019.
F. Dornaika, A. Elorza, K. Wang and I. Arganda-Carreras. Non-linear, flexible, semisupervised learning scheme for face beauty scoring. Journal of Electronic Imaging. 28(4), pp. 1-14-14, July 2019.
R. Zhu, F. Dornaika, and Y. Ruichek. Joint graph based embedding and feature weighting for image classification. Pattern Recognition. Volume 93, pp. 458-469, September 2019.
F. Bougourzi, K. Mokrani, Y. Ruichek, F. Dornaika, A. Ouafi, and A. Taleb-Ahmed. Fusion of transformed shallow features for facial expression recognition. IET Image Processing. 13(9), pp. 1479-1489, April 2019.
A. Moujahid, and F. Dornaika. Multi-scale multi-block covariance descriptor with feature selection. Neural Computation and Applications, pp. 1-12, 2019
F. Dornaika and Y. El Traboulsi. Joint sparse graph and flexible embedding for graphbased semi-supervised learning. Neural Networks, Volume 114, pp.91-95, 2019.
R. Zhu, F. Dornaika, and Y. Ruichek. Learning a discriminant graph-based embeddingwith feature selection for image categorization. Neural Networks, Volume 111, pp. 35-46, 2019.
S. Bahrami, A. Bosaghzadeh, and F. Dornaika. Multi similarity metric fusion in graph-based semi-supervised learning. Computation. 7(1), pp. 1-16, 2019.
F. Dornaika, I. Arganda-Carreras, and C. Belver. Age estimation in facial images through transfer learning. Machine Vision and Applications, 30:1, pp. 177-187, 2019.
A. Moujahid and F. Dornaika. A Pyramid multi-level face descriptor: Application to kinship verification. Multimedia Tools and Applications, volume 78(7), pp. 9335-9354, 2019.
F. Dornaika, L. Weng, and Z. Jin. Structured sparse graphs using manifold constraints for visual data analysis. Neurocomputing. Volume 315, pp. 107-114, November 2018.
Y. El Traboulsi, F. Dornaika, and Y. Ruichek. Semi-supervised two phase test sample sparse representation classifier. Knowledge-Based Systems. Volume 160, pp. 16{27, November 2018
F. Dornaika and Y. El Traboulsi. Proposals for local basis selection for the sparse representation based classifier. Signal, Image and Video Processing. Volume 12, issue:8, pp. 1595{1601 2018.
F. Dornaika, I. Kamal Aldine. Instance selection using non-linear sparse modeling. IEEE Transactions on Circuits and Systems for Video Technology. volume: 28, issue:6, pp. 1457-1461, June 2018
I. Arganda-Carreras, T. Manoliu, N. Mazuras, F. Schulze, J. E. Iglesias, K. Bühler, A. Jenett, F. Rouyer, and P. Andrey. A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain. Frontiers in neuroinformatics 12 (2018): 13.
Y. El Traboulsi and F. Dornaika. Flexible semi-supervised embedding based on adaptive loss regression: Application to image categorization. Information Sciences, volume 444, pp. 1-19, May 2018.
A. Moujahid and F. Dornaika. Feature Selection for Spatially Enhanced LBP: Application to Face Recognition. International Journal of Data Science and Analytics, 2018.
F. Dornaika, I. Kamal Aldine. Instance selection using non-linear sparse modeling. IEEE Transactions on Circuits and Systems for Video Technology, 2017.
F. Dornaika, M. Kejani, and A. Bosaghzadeh. Graph Construction Using Adaptive Local Hybrid Coding Scheme. Neural Networks, Volume 95, pp. 91-101, November 2017.
F. Dornaika, R. Dahbi, A. Bosaghzadeh, and Y. Ruichek. Efficient dynamic graph Construction for inductive semi-supervised learning. Neural Networks, Volume 94, pp. 192-203, October 2017.
A. Moujahid, F. Dornaika, Y. Ruichek, and K. Hammoudi. Towards semantic segmentation of orthophoto images using graph-based community identification. Neural Computation and Applications, pp. 1-9, June 2017.
S. Bekhouche, A. Ouafi, F. Dornaika, A. Taleb-Ahmed, and A. Hadid. Pyramid multi-Level features for facial demographic estimation. Expert Systems with Applications, Volume 80, 1, pp. 297-310, September 2017.
C. Chahla, H. Snoussi, F. Abdallah, and F. Dornaika. Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization. Engineering Applications of Artificial Intelligence, volume 58, pp. 27-33, February 2017.
F. Dornaika and Y. El Traboulsi. Matrix exponential based semi-supervised discriminant embedding. Pattern Recognition. Volume 61, pp. 92-103, January 2017.
A. Núñez-Marcos, G. Azkune, I. Arganda-Carreras. Vision-Based Fall Detection with Convolutional Neural Networks. Wireless Communications and Mobile Computing 2017, 1-16.
C. Belver, I. Arganda-Carreras, F. Dornaika. Evaluating Age Estimation Using Deep Convolutional Neural Nets. Electronic Imaging 2017 (17), 100-105.
I. Arganda-Carreras, V. Kaynig, C. Rueden, K. W. Eliceiri, J. Schindelin, A. Cardona, H. S. Seung. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinformatics 2017; 33 (15): 2424-2426. doi:10.1093/bioinformatics/btx180
L. Weng, F. Dornaika and Z. Jin. Flexible constrained sparsity preserving embedding. Pattern Recognition, volume 60, pp. 813-823, December 2016.
L. Weng, F. Dornaika and Z. Jin. Graph Construction Based on data self-representativeness and Laplacian smoothness. Neurocomputing, volume 207, pp. 476-487, 2016.
F. Dornaika, A. Assoum, A. Moujahid, I. Arganda-Carreras. An Empirical Study of Global Descriptors for Image-based Localization in Dense Urban Scenes. International Journal of Sensors Wireless Communications and Control, Volume 6, Number 3, December 2016, pp. 142-152(11).
Y. Ruichek, F. Dornaika, and M. El Najjar. Sensors technologies and methods for perception systems in intelligent vehicles, Journal of Sensors, vol. 2016, 2016.
F. Dornaika, Y. El Traboulsi, and A. Assoum. Inductive and flexible feature extraction for Semi-Supervised pattern categorization, Pattern Recognition, volume 60, pp. 275-285, December 2016.
F. Dornaika, A. Moujahid, Y. El Merabet, and Y. Ruichek. Building detection from orthophotos using a Machine Learning approach: An empirical study on image segmentation and descriptors. Expert Systems with Applications, volume 58 Issue C, pp. 130-142, October 2016.
D. Legland, I. Arganda-Carreras, P. Andrey. MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ. Bioinformatics 2016; 32 (22): 3532-3534. doi: 10.1093/bioinformatics/btw413
K. Hammoudi, H. Benhabilis, A. Jandial, F. Dornaika, and J. Mouzna. Developing a vision-based adaptive parking space management system. International Journal of Sensors, Wireless Communications and Control, volume 6, issue 3, 2016.
F. Dornaika I. Kamal Aldine, and A. Hadid. Kernel sparse modeling for prototype selection. Knowledge-Based Systems, volume 107, pp. 61-69, September 2016.
F. Dornaika, C. Chahla, F. Khattar, F. Abdallah, and H. Snoussi. Discriminant sparse label sensitive embedding: Application to image-based face pose estimation. Engineering Applications of Artificial Intelligence, volume 50, pp. 168-176, April 2016.
F. Dornaika and Y. El Traboulsi. Learning flexible graph-based semi-supervised embedding. IEEE Transactions on Cybernetics, volume: 46, issue: 1, pp. 2006-2018, January 2016.
I. Arganda-Carreras, S. C. Turaga, D. R. Berger, D. Ciresan, A. Giusti, L. M. Gambardella, J. Schmidhuber, D. Laptev, S. Dwivedi, J. M. Buhmann, T. Liu, M. Seyedhosseini, T. Tasdizen, L. Kamentsky, R. Burget, V. Uher, X. Tan, C. Sun, T. D. Pham, E. Bas, M. G. Uzunbas, A. Cardona, J. Schindelin, and H. S. Seung. Crowdsourcing the creation of image segmentation algorithms for connectomics. Frontiers in Neuroanatomy, vol. 9, no. 142, 2015.
F. Dornaika and A. Bosaghzadeh. Adaptive graph construction using Data self-representativeness for pattern classification. Information Sciences. 325, pp. 118-139, December 2015.
F. Dornaika and I. Kamal Aldine. Decremental sparse modeling representative selection for prototype selection. Pattern Recognition. 48:11, pp. 3717-3727, November 2015.
Y. El Traboulsi, F. Dornaika and A. Assoum. Kernel Flexible Manifold Embedding for pattern classification. Neurocomputing. Volume 167, 1, pp. 517-527, November 2015.
F. Dornaika, A. Moujahid, A. Bosaghzadeh, Y. El Merabet, and Y. Ruichek. Object classification using hybrid holistic descriptors: Application to building detection in aerial orthophotos. Polibits Journal. 51, pp. 11-17, 2015.
K. Hammoudi, H. Benhabiles, M. Kasraoui, N. Ajam, F. Dornaika, K. Radhakrishnan, K. Bandi, Q. Cai, S. Liu. Developing vision-based and cooperative vehicular embedded systems for enhancing road monitoring services. Elsevier Procedia Computer Science, June 2015.
F. Dornaika, A. Bosaghzadeh, H. Salmane, and Y. Ruichek. Graph-based semi-supervised learning with Local Binary Patterns for holistic object categorization. Expert Systems with Applications. Volume 41, Issue 17, pp. 7744-7753, December 2014.
F. Dornaika, A. Bosaghzadeh, H. Salmane, and Y. Ruichek. A graph construction method using LBP self-representativeness for outdoor object categorization. Engineering Applications of Artificial Intelligence. ISSN: 0952-1976, 34, pp. 294-302, November 2014.
L. Unzueta, W. Pimenta, J. Goenetxea, L. Santos, and F. Dornaika. Efficient generic face model fitting to images and videos. Image and Vision Computing. 32, pp. 321-334, 2014.
N. Oses, F. Dornaika, and A. Moujahid. Image-based delineation and classification of built heritage masonry. Remote Sensing, 6(3), pp. 1863-1889, February 2014.
B. Raducanu and F. Dornaika. Embedding new observations via sparse-coding for non-linear Manifold Learning. Pattern Recognition. 47:1, pp. 480-492, January 2014.
K. Hammoudi, F. Dornaika, B. Soheilian, B. Vallet, J. McDonald, and N. Paparoditis. A Synergistic Approach for Recovering Occlusion-free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data. International Journal of Advanced Robotics Systems. vol. 10:316, 2013.
A. Bosaghzadeh A. Moujahid, and F. Dornaika. Parameterless Local Discriminant Embedding. Neural Processing Letters, 38:1, pp. 53-67, August 2013.
F. Dornaika and A. Bosaghzadeh. Exponential Local Discriminant Embedding and its application to face recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part B, volume 43, number 3, pp. 921-934, June 2013.
F. Dornaika and A. Assoum. Enhanced and parameterless Locality Preserving Projections for face recognition. Neurocomputing, volume 99, pp. 448-457, January 2013.
F. Dornaika, A. Moujahid, and B. Raducanu. Facial expression recognition in videos using tracked facial actions: Classifier performance analysis. Engineering Applications of Artificial Intelligence, volume 26, number 1, pp. 467-477, January 2013.
B. Raducanu and F. Dornaika. Texture-independent recognition of facial expressions in image snapshots and videos. Machine Vision and Applications, volume 24, Issue 4, pp. 811-820, 2013.
K. Hammoudi, F. Dornaika, B. Soheilian, B. Vallet, J. McDonald, N. Paparoditis. Recovering occlusion-free textured 3D maps of urban facades by a synergistic use of terrestrial images, 3D point clouds and Area-based information. Journal of Procedia Engineering (Elsevier), Special Issue of International Symposium on Robotics and Intelligent Sensors, pp. 971-980 September 2012.
F. Dornaika and F. Chakik. Efficient object detection and tracking in video sequences. Journal of the Optical Society of America A, ISSN: 1084-7529, volume 29, number 6, pp. 928-935, June 2012.
B. Raducanu and F. Dornaika. A supervised non-linear Dimensionality Reduction approach for manifold learning. Pattern Recognition. ISSN: 0031-3203, volume 45, pp. 2432-2444, June 2012.
F. Dornaika and J. Elder. Image registration for foveated panoramic sensing. ACM Transactions on Multimedia Computing, Communications, and Applications, ISSN: 1551-6857, volume 8, number 2, pp. 17:1-20, May 2012.
F. Dornaika, J. M. Alvarez, A. D. Sappa, and A. Lopez. A new framework for stereo sensor pose through road segmentation and registration. IEEE Transactions on Intelligent Transportation Systems. ISSN: 1524-9050, volume 12, number 4, pp. 954-966, December 2011.
F. Dornaika, E. Lazkano, and B. Sierra. Improving dynamic facial expression recognition with feature subset selection, Pattern Recognition Letters, volume 32, number 5, pp. 740-748, April 2011.
K. Hammoudi and F. Dornaika. A featureless approach to 3D polyhedral building modeling from aerial images, Sensors Journal, volume 11, number 1, pp. 228-259, January 2011.
F. Dornaika and B. Raducanu. 3D face pose detection and tracking using monocular videos: tool and application. IEEE Transactions on Systems, Man, and Cybernetics, Part B, volume 39, number 4, pp. 935-944, August 2009.
F. Dornaika and A. Sappa. A featureless and stochastic approach to on-board stereo vision system pose. Image and Vision Computing, volume 27, number 9, pp. 1382-1393, August 2009.
F. Dornaika and A. Sappa. Instantaneous 3D motion from image derivatives using the least trimmed square regression. Pattern Recognition Letters, volume 30, number 5, pp. 535-543, April 2009.
Book chapters
L. Weng, F. Dornaika, and Z. Jin. Constrained data self-representative graph construction. Semi-supervised Learning: Background, Applications and Future Directions. Nova Science Publishers, 2017.
I. Arganda-Carreras, P. Andrey. Designing Image Analysis Pipelines in Light Microscopy: A Rational Approach. Light Microscopy: Methods and Protocols, 185-207, 2017.
F. Dornaika, Y. El Traboulsi, I. Arganda-Carreras and B. Cases. Label propagation via kernel flexible manifold embedding. Semi-supervised Learning: Background, Applications and Future Directions. Nova Science Publishers, 2017.
F. Dornaika, A. Moujahid, Y. El Merabet, and Y. Ruichek. A comparative study of image segmentation algorithms and descriptors for building detection. Neural Computation in Engineering and Science. Editors: Pijush Samui, Sanjiban Sekhar Roy, and Valentina E. Balas, pp. 591--606, ISBN: 9780128113189, Academic Press, 2017.
F. Dornaika, A. Bosaghzadeh, H. Salmane, and Y. Ruichek. Object categorization using adaptive graph-based semi-supervised learning. Neural Computation in Engineering and Science. Editors: Pijush Samui, Sanjiban Sekhar Roy, and Valentina E. Balas, pp. 164-177, , ISBN: 9780128113189, Academic Press, 2017.
F. Dornaika and I. Kamal Aldine. Instance selection using non-linear sparse coding schemes. Machine Learning: Advances in Research and Applications. Nova Science Publishers, ISBN: 978-1-53612-570-2, 2017.
F. Dornaika and A. Assoum. Adaptive Locality Preserving Projections for face recognition. Advances in Face Image Analysis: Theory and Applications. Bentham Science Publishers, ISBN: 978-1-68108-111-3, pp. 68-85, 2016.
F. Dornaika , B. Raducanu, and A. Bosaghzadeh. Facial expression recognition based on multiple observations with application to social robotics. Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance. Nova Publishers, 2015.
L. Weng, Z. Jin, and F. Dornaika. Constrained graph embedding based on Sparsity Preserving Projection. Advances in Face Image Analysis: Theory and Applications. Bentham Science Publishers, ISBN: 978-1-68108-111-3, pp. 23-38, 2016.
A. Bosaghzadeh and F. Dornaika. Face recognition using Exponential Local Discriminant Embedding. Advances in Face Image Analysis: Theory and Applications. Bentham Science Publishers, ISBN: 978-1-68108-111-3, pp. 39-65, 2016.
F. Khattar, F. Dornaika, and A. Assoum. Model-less 3D face pose estimation. Advances in Face Image Analysis: Theory and Applications. Bentham Science Publishers, ISBN: 978-1-68108-111-3, pp. 131-152, 2016.
L. Unzueta, W. Pimenta, J. Goenetxea, L. Santos, and F. Dornaika. Efficient deformable 3D face model fitting to monocular images. Bentham Science Publishers, ISBN: 978-1-68108-111-3, pp. 153-178, 2016.
F. Dornaika , B. Raducanu, and A. Bosaghzadeh. Facial expression recognition based on multiple observations with application to social robotics. Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance. Nova Publishers, 2015.
F. Dornaika, F. Chakik, and A. Shahin. The Link between Maximum Entropy Principle and Support Vector Machines. Handbook of Pattern Recognition: Methods and Applications, iConcept Press, 2012.
A. Assoum and F. Dornaika. A margin-based Linear Embedding technique for visual object recognition. Handbook of Pattern Recognition: Methods and Applications, iConcept Press, 2012.
F. Dornaika and B. Raducanu. Analysis and recognition of facial expressions in videos using facial shape deformation. Facial Expressions: Dynamic Patterns, Impairments and Social Perceptions, pp. 157-178 Nova Publisher, 2012.
F. Dornaika and A. Assoum. Linear dimensionality reduction and feature selection for visual object recognition. Machine Learning: New Research, pp. 1-17, Nova Publisher, 2012. A.
Sappa, D. Gerónimo, F. Dornaika, M. Rouhani, and A. López. Moving object detection from mobile platforms using stereo data registration. Computational Intelligence Paradigms in Advanced Pattern Classification, M.R. Ogiela and L.C. Jain, editors, 2012.
F. Dornaika, A. Assoum, and A. Moujahid. Enhanced and parameterless Locality Preserving Projections for face recognition. Ambient Intelligence and Smart Environments, J.C. Augusto et al., editors, IOS press, 2011.
F. Dornaika and B. Raducanu. Subtle facial expression recognition in still images and videos. Advances in Face Image Analysis: Techniques and Technologies, Zhang Yu-Jin, editor, IGI Global, pp. 259-278, 2011.