Asynchronous integration of audio and visual sources in bi-modal automatic speech recognition. - Paul Deléglise; Alexandrina Rogozan; Mamoun Alissali (EUSIPCO, 1996)

A wavelet representation evaluation for stop-consonants classification. - Christophe Gérard; Marc Baudry; Alexandrina Rogozan (EUSIPCO, 1996)

Asynchronous integration of visual information in an automatic speech recognition system. - Mamoun Alissali; Paul Deléglise; Alexandrina Rogozan (ICSLP, 1996)

Adaptive determination of audio and visual weights for automatic speech recognition. - Alexandrina Rogozan; Paul Deléglise; Mamoun Alissali (AVSP, 1997)

Continuous visual speech recognition using geometric lip-shape models and neural networks. - Alexandrina Rogozan; Paul Deléglise (EUROSPEECH, 1997)

Hybrid Hidden Markow model / neural network models for speechreading. - Alexandrina Rogozan; Paul Deléglise (ESANN, 1998)

Adaptive fusion of acoustic and visual sources for automatic speech recognition. - Alexandrina Rogozan; Paul Deléglise (Speech Commun., 1998)

Discriminative Learning of Visual Data for Audiovisual Speech Recognition. - Alexandrina Rogozan (Int. J. Artif. Intell. Tools, 1999)

Text Categorization pror to Indexing for the CISMEF Health Catalogue. - Alexandrina Rogozan; Aurélie Névéol; Stéfan Jacques Darmoni (AIME, 2003)

Using CISMeF MeSH "Encapsulated" terminology and a categorization algorithm for health resources. - Aurélie Névéol; Lina Fatima Soualmia; Magaly Douyère; Alexandrina Rogozan; Benoît Thirion; Stéfan Jacques Darmoni (Int. J. Medical Informatics, 2004)

A Benchmark Evaluation of the French MeSH Indexers. - Aurélie Névéol; Vincent Mary; Arnaud Gaudinat; Célia Boyer; Alexandrina Rogozan; Stéfan Jacques Darmoni (AIME, 2005)

Indexation automatique de ressources de santé à l'aide de paires de descripteurs MeSH. - Aurélie Névéol; Alexandrina Rogozan; Stéfan Jacques Darmoni (TALN (Articles courts), 2005)

MedIC at ImageCLEF 2006: Automatic Image Categorization and Annotation Using Combined Visual Representations. - Filip Florea; Alexandrina Rogozan; Eugen Barbu; Abdelaziz Bensrhair; Stéfan Jacques Darmoni (CLEF, 2006)

MedIC/CISMeF at ImageCLEF 2006: Image Annotation and Retrieval Tasks. - Filip Florea; Alexandrina Rogozan; Valeriu Cornea; Abdelaziz Bensrhair; Stéfan Jacques Darmoni (CLEF (Working Notes), 2006)

Medical Image Categorization using a Texture Based Symbolic Description. - Filip Florea; Eugen Barbu; Alexandrina Rogozan; Abdelaziz Bensrhair; Vasile Buzuloiu (ICIP, 2006)

Using texture-based symbolic features for medical image representation. - Filip Florea; Eugen Barbu; Alexandrina Rogozan; Abdelaziz Bensrhair (ICPR (2), 2006)

Multi-modal Categorization of Medical Images Using Texture-based Symbolic Representations. - Filip Florea; Eugen Barbu; Alexandrina Rogozan; Abdelaziz Bensrhair (PRIS, 2006)

Automatic indexing of online health resources for a French quality controlled gateway. - Aurélie Névéol; Alexandrina Rogozan; Stéfan Jacques Darmoni (Inf. Process. Manag., 2006)

Fusion des approches visuelles et contextuelles pour l'annotation des images médicales. - Filip Florea; Valeriu Cornea; Alexandrina Rogozan; Abdelaziz Bensrhair; Stéfan Jacques Darmoni (EGC, 2007)

Genetically designed multiple-kernels for improving the SVM performance. - Laura Diosan; Mihai Oltean; Alexandrina Rogozan; Jean-Pierre Pécuchet (GECCO, 2007)

Improving SVM Performance Using a Linear Combination of Kernels. - Laura Diosan; Mihai Oltean; Alexandrina Rogozan; Jean-Pierre Pécuchet (ICANNGA (2), 2007)

Evolving kernel functions for SVMs by genetic programming. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (ICMLA, 2007)

Automatic alignment of medical vs. general terminologies. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (ESANN, 2008)

Optimising Multiple Kernels for SVM by Genetic Programming. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (EvoCOP, 2008)

Apport des traitements morphosyntaxiques pour l'alignement des définitions par une classification SVM. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (EGC, 2008)

Kernel and Feature Selection for Visible and Infrared based Obstacle Recognition. - Anca Apatean; Alexandrina Rogozan; Abdelaziz Bensrhair (ITSC, 2008)

Evolutionary Optimisation of Kernel and Hyper-Parameters for SVM. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (MCO, 2008)

Automatic Alignment of Medical Terminologies with General Dictionaries for an Efficient Information Retrieval. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (Information Retrieval in Biomedicine, 2009)

SVM-based obstacle classification in visible and infrared images. - Anca Apatean; Alexandrina Rogozan; Abdelaziz Bensrhair (EUSIPCO, 2009)

Combining SURF-based local and global features for road obstacle recognition in far infrared images. - Bassem Besbes; Anca Apatean; Alexandrina Rogozan; Abdelaziz Bensrhair (ITSC, 2010)

Pedestrian recognition based on hierarchical codebook of SURF features in visible and infrared images. - Bassem Besbes; Alexandrina Rogozan; Abdelaziz Bensrhair (Intelligent Vehicles Symposium, 2010)

Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (Int. J. Artif. Intell. Tools, 2010)

Evidential combination of SVM road obstacle classifiers in visible and far infrared images. - Bassem Besbes; Sonda Ammar; Yousri Kessentini; Alexandrina Rogozan; Abdelaziz Bensrhair (Intelligent Vehicles Symposium, 2011)

Towards a robust and fast color stereo matching for intelligent vehicle application. - Alina Dana Miron; Samia Ainouz 001; Alexandrina Rogozan; Abdelaziz Bensrhair (ICIP, 2012)

Intensity self similarity features for pedestrian detection in Far-Infrared images. - Alina Dana Miron; Bassem Besbes; Alexandrina Rogozan; Samia Ainouz 001; Abdelaziz Bensrhair (Intelligent Vehicles Symposium, 2012)

Improving classification performance of Support Vector Machine by genetically optimising kernel shape and hyper-parameters. - Laura Diosan; Alexandrina Rogozan; Jean-Pierre Pécuchet (Appl. Intell., 2012)

Fusion of Smile, Valence and NGram Features for Automatic Affect Detection. - Ovidiu Serban; Ginevra Castellano; Alexandre Pauchet; Alexandrina Rogozan; Jean-Pierre Pécuchet (ACII, 2013)

Modelling Context to Solve Conflicts in SentiWordNet. - Ovidiu Serban; Alexandre Pauchet; Alexandrina Rogozan; Jean-Pierre Pécuchet (ACII, 2013)

Pedestrian Recognition by Using a Kernel-Based Multi-modality Approach. - Adela-Maria Sirbu; Alexandrina Rogozan; Laura Diosan; Abdelaziz Bensrhair (SYNASC, 2014)

A robust cost function for stereo matching of road scenes. - Alina Dana Miron; Samia Ainouz 001; Alexandrina Rogozan; Abdelaziz Bensrhair (Pattern Recognit. Lett., 2014)

Pedestrian recognition using a dynamic modality fusion approach. - Adela-Maria Rus; Alexandrina Rogozan; Laura Diosan; Abdelaziz Bensrhair (ICCP, 2015)

Pedestrian Recognition by Using a Dynamic Modality Selection Approach. - Adela-Maria Rus; Alexandrina Rogozan; Laura Diosan; Abdelaziz Bensrhair (ITSC, 2015)

Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF. - Bassem Besbes; Alexandrina Rogozan; Adela-Maria Rus; Abdelaziz Bensrhair; Alberto Broggi (Sensors, 2015)

An Evaluation of the Pedestrian Classification in a Multi-Domain Multi-Modality Setup. - Alina Dana Miron; Alexandrina Rogozan; Samia Ainouz 001; Abdelaziz Bensrhair; Alberto Broggi (Sensors, 2015)

Driver head pose estimation using efficient descriptor fusion. - Nawal Alioua; Aouatif Amine; Alexandrina Rogozan; Abdelaziz Bensrhair; Mohammed Rziza (EURASIP J. Image Video Process., 2016)

Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks. - Danut Ovidiu Pop; Alexandrina Rogozan; Fawzi Nashashibi; Abdelaziz Bensrhair (ESANN, 2017)

Pedestrian recognition through different cross-modality deep learning methods. - Danut Ovidiu Pop; Alexandrina Rogozan; Fawzi Nashashibi; Abdelaziz Bensrhair (ICVES, 2017)

Incremental Cross-Modality deep learning for pedestrian recognition. - Danut Ovidiu Pop; Alexandrina Rogozan; Fawzi Nashashibi; Abdelaziz Bensrhair (Intelligent Vehicles Symposium, 2017)

Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning. - Danut Ovidiu Pop; Alexandrina Rogozan; Fawzi Nashashibi; Abdelaziz Bensrhair (ESANN, 2019)

Multi-Task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction. - Danut Ovidiu Pop; Alexandrina Rogozan; Clément Chatelain 001; Fawzi Nashashibi; Abdelaziz Bensrhair (IEEE Access, 2019)

Random Signal Cut for Improving Multimodal CNN Robustness of 2D Road Object Detection. - Robin Condat; Alexandrina Rogozan; Abdelaziz Bensrhair (ESANN, 2020)

GFD-Retina: Gated Fusion Double RetinaNet for Multimodal 2D Road Object Detection. - Robin Condat; Alexandrina Rogozan; Abdelaziz Bensrhair (ITSC, 2020)

Cross-modal verification for 3D object detection. - Haodi Zhang; Alexandrina Rogozan; Abdelaziz Bensrhair (ESANN, 2021)

Accelerate High Resolution Image Pedestrian Detection With Non-Pedestrian Area Estimation. - Haodi Zhang; Danut Ovidiu Pop; Alexandrina Rogozan; Abdelaziz Bensrhair (IEEE Access, 2021)

Pedestrian Recognition Using Cross-Modality Learning in Convolutional Neural Networks. - Danut Ovidiu Pop; Alexandrina Rogozan; Fawzi Nashashibi; Abdelaziz Bensrhair (IEEE Intell. Transp. Syst. Mag., 2021)

Identifying and Deactivating Unusable Modalities to Improve Multimodal CNN Robustness for Road Scene Understanding. - Robin Condat; Alexandrina Rogozan; Samia Ainouz 001; Abdelaziz Bensrhair (ITSC, 2022)

An enhanced N-point interpolation method to eliminate average precision distortion. - Haodi Zhang; Alexandrina Rogozan; Abdelaziz Bensrhair (Pattern Recognit. Lett., 2022)