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Ghazaleh Khodabandelou
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2020 – today
- 2024
- [j17]Mamadou Dia
, Ghazaleh Khodabandelou
Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning. Biomed. Signal Process. Control. 89: 105712 (2024) - [j16]Mamadou Dia
Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video. Comput. Methods Programs Biomed. 257: 108439 (2024) - [j15]Roghayeh Mojarad, Abdelghani Chibani, Ferhat Attal, Ghazaleh Khodabandelou
A hybrid and context-aware framework for normal and abnormal human behavior recognition. Soft Comput. 28(6): 4821-4845 (2024) - [j14]Ghazaleh Khodabandelou
A Recurrent Neural Network Optimization Method for Anticipation of Hierarchical Human Activity. IEEE Trans Autom. Sci. Eng. 21(3): 4657-4673 (2024) - [c19]Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
Revitalizing Nash Equilibrium in GANs for Human Face Image Generation. IJCNN 2024: 1-8 - [i6]Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani:
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews. CoRR abs/2403.19441 (2024) - [i5]Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, Zuheng Ming:
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review. CoRR abs/2410.00034 (2024) - 2023
- [j13]Ghazaleh Khodabandelou
A fuzzy convolutional attention-based GRU network for human activity recognition. Eng. Appl. Artif. Intell. 118: 105702 (2023) - [j12]Mohaddeseh Koosha
A hierarchical estimation of multi-modal distribution programming for regression problems. Knowl. Based Syst. 260: 110129 (2023) - [c18]Mamadou Dia
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews. CBMS 2023: 700-705 - [c17]Mohamed Arbane, Mohamed Essaid Khanouche, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation. IJCNN 2023: 1-6 - [c16]Hazar Zilelioglu
Conditional Human Activity Signal Generation and Generative Classification with a GPT-2 Model. IJCNN 2023: 1-8 - 2022
- [j11]Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
Generic semi-supervised adversarial subject translation for sensor-based activity recognition. Neurocomputing 500: 649-661 (2022) - [c15]Hazar Zilelioglu
Modelling Companion Animals' Well-being based on Activity Recognition and Biological Rhythms Monitoring. CSCI 2022: 1816-1818 - [c14]Koussaila Moulouel, Mohamed Arbane, Abdelghani Chibani, Ghazaleh Khodabandelou, Yacine Amirat:
Stream Reasoning approach for Anticipating Human Activities in Ambient Intelligence environments. ICTAI 2022: 666-671 - 2021
- [j10]Ghazaleh Khodabandelou
Link traffic speed forecasting using convolutional attention-based gated recurrent unit. Appl. Intell. 51(4): 2331-2352 (2021) - [j9]Ghazaleh Khodabandelou, Amir Nakib:
H-polytope decomposition-based algorithm for continuous optimization. Inf. Sci. 558: 50-75 (2021) - [j8]Ghazaleh Khodabandelou
Attention-Based Gated Recurrent Unit for Gesture Recognition. IEEE Trans Autom. Sci. Eng. 18(2): 495-507 (2021) - 2020
- [j7]Mehdi Katranji
Deep multi-task learning for individuals origin-destination matrices estimation from census data. Data Min. Knowl. Discov. 34(1): 201-230 (2020) - [j6]Ghazaleh Khodabandelou, Etienne Routhier, Julien Mozziconacci
Genome annotation across species using deep convolutional neural networks. PeerJ Comput. Sci. 6: e278 (2020) - [j5]Florent Chiaroni
Counter-examples generation from a positive unlabeled image dataset. Pattern Recognit. 107: 107527 (2020) - [i4]Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition. CoRR abs/2012.03682 (2020)
2010 – 2019
- 2019
- [j4]Ghazaleh Khodabandelou
Fuzzy neural network with support vector-based learning for classification and regression. Soft Comput. 23(23): 12153-12168 (2019) - [j3]Ghazaleh Khodabandelou
Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata. IEEE Trans. Mob. Comput. 18(9): 2034-2047 (2019) - [c13]Ghazaleh Khodabandelou, Mehdi Katranji, Sami Kraiem, Walid Kheriji, Fouad Hadj-Selem
Attention-based Gated Recurrent Unit for Links Traffic Speed Forecasting. ITSC 2019: 2577-2583 - [i3]Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. CoRR abs/1910.01968 (2019) - 2018
- [c12]Danya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi
Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data. ECML/PKDD (3) 2018: 569-584 - [i2]Ghazaleh Khodabandelou, Vincent Gauthier, Marco Fiore, Mounim A. El-Yacoubi:
Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata. CoRR abs/1810.12909 (2018) - 2017
- [c11]Danya Bachir, Vincent Gauthier, Mounim A. El-Yacoubi
Using mobile phone data analysis for the estimation of daily urban dynamics. ITSC 2017: 626-632 - 2016
- [c10]Ghazaleh Khodabandelou, Vincent Gauthier
Population estimation from mobile network traffic metadata. WoWMoM 2016: 1-9 - [i1]Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi
Population estimation from mobile network traffic metadata. CoRR abs/1610.06947 (2016) - 2015
- [j2]Ghazaleh Khodabandelou, Charlotte Hug, Camille Salinesi:
Mining Users' Intents from Logs. Int. J. Inf. Syst. Model. Des. 6(2): 43-71 (2015) - 2014
- [j1]Rébecca Deneckère, Charlotte Hug, Ghazaleh Khodabandelou, Camille Salinesi:
Intentional Process Mining: Discovering and Modeling the Goals Behind Processes using Supervised Learning. Int. J. Inf. Syst. Model. Des. 5(4): 22-47 (2014) - [c9]Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi:
Supervised vs. Unsupervised Learning for Intentional Process Model Discovery. BMMDS/EMMSAD 2014: 215-229 - [c8]Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi:
Unsupervised discovery of intentional process models from event logs. MSR 2014: 282-291 - [c7]Ghazaleh Khodabandelou, Charlotte Hug, Camille Salinesi:
A novel approach to process mining: Intentional process models discovery. RCIS 2014: 1-12 - 2013
- [c6]Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi:
Process Mining Versus Intention Mining. BMMDS/EMMSAD 2013: 466-480 - [c5]Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi, Marko Bajec, Elena Kornyshova, Marko Jankovic:
Cots Products To Trace Method Enactment: Review And Selection. ECIS 2013: 50 - [c4]Marko Jankovic, Marko Bajec, Ghazaleh Khodabandelou, Rébecca Deneckère, Charlotte Hug, Camille Salinesi:
Intelligent Agile Method Framework. ENASE 2013: 232-237 - [c3]Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi:
Supervised Intentional Process Models Discovery using Hidden Markov Models. INFORSID 2013: 471-486 - [c2]Ghazaleh Khodabandelou:
Contextual recommendations using intention mining on process traces: Doctoral consortium paper. RCIS 2013: 1-6 - [c1]Ghazaleh Khodabandelou, Charlotte Hug, Rébecca Deneckère, Camille Salinesi:
Supervised intentional process models discovery using Hidden Markov models. RCIS 2013: 1-11
Coauthor Index
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