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Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Mohamad Oueidat
  • ESANN 2025 - O-Net: a Brain Tumor segmentation architecture based on U-Net using alternated Pooling [Details]
Latifa Oukhellou
  • ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
  • ESANN 2021 - Dynamic clustering and modeling of temporal data subject to common regressive effects [Details]
  • ESANN 2021 - Machine learning and data mining for urban mobility intelligence [Details]
Latifa Oukhellou
  • ESANN 2009 - Partially-supervised learning in Independent Factor Analysis [Details]
  • ESANN 2012 - Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors [Details]
  • ESANN 2013 - Clustering the Vélib’ origin-destinations flows by means of Poisson mixture models [Details]
  • ESANN 2015 - Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions [Details]
  • ESANN 2017 - Processing, mining and visualizing massive urban data [Details]
Djaffar Ould Abdeslam
  • ESANN 2005 - Adaline-based estimation of power harmonics [Details]
Souleiman Ould el Medhi
  • ESANN 2008 - Petri nets design based on neural networks [Details]
Yacine OUSSAR
  • ESANN 2012 - enhanced emotion recognition by feature selection to animate a talking head [Details]
M.D. Out
  • ESANN 2000 - A Bayesian approach to combined neural networks forecasting [Details]
Abdullah Owaidh
  • ESANN 2014 - NMF-Density: NMF-Based Breast Density Classifier [Details]
Ozan Özdemir
  • ESANN 2024 - Embodying Language Models in Robot Action [Details]
  • ESANN 2025 - Open-Vocabulary Robotic Object Manipulation using Foundation Models [Details]
Alexey Ozerov
  • No papers found
Alexey Ozerov
  • ESANN 2022 - Feature Compression Using Dynamic Switches in Multi-split CNNs [Details]
Erhan Oztop
  • No papers found
Erhan Oztop
  • ESANN 2022 - Reinforcement learning for constructing low density sign representations of Boolean functions [Details]

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