Ghazaleh Khodabandelou

According to our database, Ghazaleh Khodabandelou authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A hybrid and context-aware framework for normal and abnormal human behavior recognition.

Roghayeh Mojarad, Abdelghani Chibani, Ferhat Attal, Ghazaleh Khodabandelou, Yacine Amirat

Soft Comput., March, 2024

2023

A hierarchical estimation of multi-modal distribution programming for regression problems.

Mohaddeseh Koosha, Ghazaleh Khodabandelou, Mohammad Mehdi Ebadzadeh

Knowl. Based Syst., 2023

A fuzzy convolutional attention-based GRU network for human activity recognition.

Ghazaleh Khodabandelou, Huiseok Moon, Yacine Amirat, Samer Mohammed

Eng. Appl. Artif. Intell., 2023

Conditional Human Activity Signal Generation and Generative Classification with a GPT-2 Model.

Hazar Zilelioglu, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat

Proceedings of the International Joint Conference on Neural Networks, 2023

DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation.

Mohamed Arbane, Mohamed Essaid Khanouche, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat

Proceedings of the International Joint Conference on Neural Networks, 2023

A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews.

Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Generic semi-supervised adversarial subject translation for sensor-based activity recognition.

Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat

Neurocomputing, 2022

Stream Reasoning approach for Anticipating Human Activities in Ambient Intelligence environments.

Koussaila Moulouel, Mohamed Arbane, Abdelghani Chibani, Ghazaleh Khodabandelou, Yacine Amirat

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Modelling Companion Animals' Well-being based on Activity Recognition and Biological Rhythms Monitoring.

Hazar Zilelioglu, Ioana Ocnarescu, Ghazaleh Khodabandelou, Abdelghani Chibani, Clément Bataille, Jérôme Mlynarczyk, Yacine Amirat, Solène Le Bars

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Attention-Based Gated Recurrent Unit for Gesture Recognition.

Ghazaleh Khodabandelou, Pyeong-Gook Jung, Yacine Amirat, Samer Mohammed

IEEE Trans Autom. Sci. Eng., 2021

H-polytope decomposition-based algorithm for continuous optimization.

Ghazaleh Khodabandelou, Amir Nakib

Inf. Sci., 2021

Link traffic speed forecasting using convolutional attention-based gated recurrent unit.

Ghazaleh Khodabandelou, Walid Kheriji, Fouad Hadj-Selem

Appl. Intell., 2021

2020

Counter-examples generation from a positive unlabeled image dataset.

Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux

Pattern Recognit., 2020

Genome annotation across species using deep convolutional neural networks.

Ghazaleh Khodabandelou, Etienne Routhier, Julien Mozziconacci

PeerJ Comput. Sci., 2020

Deep multi-task learning for individuals origin-destination matrices estimation from census data.

Mehdi Katranji, Sami Kraiem, Laurent Moalic, Guilhem Sanmarty, Ghazaleh Khodabandelou, Alexandre Caminada, Fouad Hadj-Selem

Data Min. Knowl. Discov., 2020

Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition.

Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat

CoRR, 2020

2019

Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata.

Ghazaleh Khodabandelou, Vincent Gauthier, Marco Fiore, Mounim A. El-Yacoubi

IEEE Trans. Mob. Comput., 2019

Fuzzy neural network with support vector-based learning for classification and regression.

Ghazaleh Khodabandelou, Mohammad Mehdi Ebadzadeh

Soft Comput., 2019

Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification.

Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux

CoRR, 2019

Attention-based Gated Recurrent Unit for Links Traffic Speed Forecasting.

Ghazaleh Khodabandelou, Mehdi Katranji, Sami Kraiem, Walid Kheriji, Fouad Hadj-Selem

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data.

Danya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi, Eric Vachon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Using mobile phone data analysis for the estimation of daily urban dynamics.

Danya Bachir, Vincent Gauthier, Mounim A. El-Yacoubi, Ghazaleh Khodabandelou

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016

Population estimation from mobile network traffic metadata.

Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi, Marco Fiore

Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

2015

Mining Users' Intents from Logs.

Ghazaleh Khodabandelou, Charlotte Hug, Camille Salinesi

Int. J. Inf. Syst. Model. Des., 2015

2014

Intentional Process Mining: Discovering and Modeling the Goals Behind Processes using Supervised Learning.

Rébecca Deneckère, Charlotte Hug, Ghazaleh Khodabandelou, Camille Salinesi

Int. J. Inf. Syst. Model. Des., 2014

A novel approach to process mining: Intentional process models discovery.

Ghazaleh Khodabandelou, Charlotte Hug, Camille Salinesi

Proceedings of the IEEE 8th International Conference on Research Challenges in Information Science, 2014

Unsupervised discovery of intentional process models from event logs.

Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi

Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

Supervised vs. Unsupervised Learning for Intentional Process Model Discovery.

Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2014

2013

Contextual recommendations using intention mining on process traces: Doctoral consortium paper.

Ghazaleh Khodabandelou

Proceedings of the IEEE 7th International Conference on Research Challenges in Information Science, 2013

Supervised Intentional Process Models Discovery using Hidden Markov Models.

Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi

Proceedings of the Actes du XXXIème Congrès INFORSID, Paris, France, 29-31 Mai 2013., 2013

Intelligent Agile Method Framework.

Marko Jankovic, Marko Bajec, Ghazaleh Khodabandelou, Rébecca Deneckère, Charlotte Hug, Camille Salinesi

Proceedings of the ENASE 2013, 2013

Cots Products To Trace Method Enactment: Review And Selection.

Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi, Marko Bajec, Elena Kornyshova, Marko Jankovic

Proceedings of the 21st European Conference on Information Systems, 2013

Process Mining Versus Intention Mining.

Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2013