A. Rogozan

发表

Semantic Propagation on Contextonyms using SentiWordNet

A. Pauchet, O. Şerban, A. Rogozan, 2012 .

Modality Categorization by Textual Annotations Interpretation in Medical Imaging

S. Darmoni, A. Rogozan, F. Florea, 2005 .

EVOLUTIONARY OPTIMISATION OF KERNEL FUNCTIONS FOR SVMS

A. Rogozan, J. Pécuchet, Laura Dios, 2008 .

Improving classification performance of Support Vector Machine by genetically optimising kernel shape and hyper-parameters

Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet, 2010, Applied Intelligence.

SVM-based fast pedestrian recognition using a hierarchical codebook of local features

Alexandrina Rogozan, Abdelaziz Bensrhair, Bassem Besbes, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Hybrid Hidden Markow model / neural network models for speechreading

Alexandrina Rogozan, Paul Deléglise, P. Deléglise, 1998, ESANN.

Combining image content and annotated text for medical image categorization and retrieval

E. Barbu, A. Rogozan, F. Florea, 2006 .

STEREOMATCHING USING RADIOMETRIC INVARIANT MEASURES

Horia F. Pop, Samia Ainouz, A. Rogozan, 2011 .

Adaptive determination of audio and visual weights for automatic speech recognition

Alexandrina Rogozan, Paul Deléglise, Mamoun Alissali, 1997, AVSP.

Automatic alignment of medical vs. general terminologies

Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet, 2008, ESANN.

Acceleration of Pedestrian Detection in High Resolution Image

A. Rogozan, A. Bensrhair, Haodi Zhang, 2022 .

Improving classification performance of Support Vector Machine by genetically optimising kernel shape and hyper-parameters

A. Rogozan, J. Pécuchet, L. Dioşan, 2012, Applied Intelligence.

Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming

Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet, 2010, Int. J. Artif. Intell. Tools.

Evolutionary Optimisation of Kernel and Hyper-Parameters for SVM

Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet, 2008, MCO.

Optimising Multiple Kernels for SVM by Genetic Programming

Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet, 2008, EvoCOP.

Evolving kernel functions for SVMs by genetic programming

Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Genetically designed multiple-kernels for improving the SVM performance

Mihai Oltean, Laura Diosan, Alexandrina Rogozan, 2007, GECCO '07.

Automatic indexing of online health resources for a French quality controlled gateway

Stéfan Jacques Darmoni, Alexandrina Rogozan, Aurélie Névéol, 2006, Inf. Process. Manag..

Adaptive fusion of acoustic and visual sources for automatic speech recognition

Alexandrina Rogozan, Paul Deléglise, P. Deléglise, 1998, Speech Commun..

A robust cost function for stereo matching of road scenes

Alexandrina Rogozan, Samia Ainouz, Abdelaziz Bensrhair, 2014, Pattern Recognit. Lett..

Multi-Task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction

Fawzi Nashashibi, Alexandrina Rogozan, Abdelaziz Bensrhair, 2019, IEEE Access.

An enhanced N-point interpolation method to eliminate average precision distortion

A. Rogozan, A. Bensrhair, Haodi Zhang, 2022, Pattern Recognit. Lett..

Driver head pose estimation using efficient descriptor fusion

M. Rziza, A. Amine, A. Rogozan, 2016, EURASIP J. Image Video Process..

Visible-infrared fusion schemes for road obstacle classification

Alexandrina Rogozan, Abdelaziz Bensrhair, Anca Apatean, 2013 .

Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF

Alexandrina Rogozan, Alberto Broggi, Abdelaziz Bensrhair, 2015, Sensors.

SVM-based obstacle classification in visible and infrared images

Alexandrina Rogozan, Abdelaziz Bensrhair, Anca Apatean, 2009, 2009 17th European Signal Processing Conference.

Obstacle recognition using multiple kernel in visible and infrared images

Alexandrina Rogozan, Abdelaziz Bensrhair, Anca Apatean, 2009, 2009 IEEE Intelligent Vehicles Symposium.

Kernel and Feature Selection for Visible and Infrared based Obstacle Recognition

Alexandrina Rogozan, Abdelaziz Bensrhair, Anca Apatean, 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

Image Features Extraction, Selection and Fusion for Computer Vision

Alexandrina Rogozan, Abdelaziz Bensrhair, Anca Apatean, 2016 .

Identifying and Deactivating Unusable Modalities to Improve Multimodal CNN Robustness for Road Scene Understanding

Samia Ainouz, A. Rogozan, A. Bensrhair, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

GFD-Retina: Gated Fusion Double RetinaNet for Multimodal 2D Road Object Detection

Alexandrina Rogozan, Abdelaziz Bensrhair, Robin Condat, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Random Signal Cut for Improving Multimodal CNN Robustness of 2D Road Object Detection

Alexandrina Rogozan, Abdelaziz Bensrhair, Robin Condat, 2020, ESANN.

Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks

Fawzi Nashashibi, Alexandrina Rogozan, Abdelaziz Bensrhair, 2017, ESANN.

Visible speech modelling and hybrid hidden Markov models/neural networks based learning for lipreading

P. Deleglise, A. Rogozan, P. Deléglise, 1998, Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174).

Fusion of Smile, Valence and NGram Features for Automatic Affect Detection

Alexandre Pauchet, Ginevra Castellano, Alexandrina Rogozan, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Sensors for Obstacle Detection - A Survey

A. Bensrhair, A. Discant, A. Rogozan, 2007, 2007 30th International Spring Seminar on Electronics Technology (ISSE).

A Benchmark Evaluation of the French MeSH Indexers

Stéfan Jacques Darmoni, Alexandrina Rogozan, Aurélie Névéol, 2005, AIME.

A Benchmark Evaluation of the French MeSH Indexing Systems

Stéfan Jacques Darmoni, Aurélie Névéol, Arnaud Gaudinat, 2005 .

Enhancing the MeSH thesaurus to retrieve French online health resources in a quality-controlled gateway.

Aurélie Névéol, Jean-Philippe Leroy, Lina F Soualmia, 2004, Health information and libraries journal.

Evolving kernel functions for SVMs by genetic programming

Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet, 2007, ICMLA 2007.

An Evaluation of the Pedestrian Classification in a Multi-Domain Multi-Modality Setup

Alexandrina Rogozan, Alberto Broggi, Samia Ainouz, 2015, Sensors.

Pedestrian Recognition by Using a Kernel-Based Multi-modality Approach

Laura Diosan, Alexandrina Rogozan, Abdelaziz Bensrhair, 2014, 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Continuous visual speech recognition using geometric lip-shape models and neural networks

Alexandrina Rogozan, Paul Deléglise, P. Deléglise, 1997, EUROSPEECH.

Asynchronous integration of visual information in an automatic speech recognition system

Alexandrina Rogozan, Paul Deléglise, Mamoun Alissali, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Asynchronous integration of audio and visual sources in bi-modal automatic speech recognition

Alexandrina Rogozan, Paul Deléglise, Mamoun Alissali, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Intensity self similarity features for pedestrian detection in Far-Infrared images

Alexandrina Rogozan, Samia Ainouz, Abdelaziz Bensrhair, 2012, 2012 IEEE Intelligent Vehicles Symposium.

Pedestrian recognition based on hierarchical codebook of SURF features in visible and infrared images

Alexandrina Rogozan, Abdelaziz Bensrhair, Bassem Besbes, 2010, 2010 IEEE Intelligent Vehicles Symposium.

Ruttier Obstacle Classification by use of Fractional B-spline Wavelets and Moments

A. Bensrhair, A. Discant, E. Lupu, 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".