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Florence d'Alché-Buc
- ESANN 2006 - Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data [Details]
- ESANN 1994 - High-order Boltzmann machines applied to the Monk's problems [Details]
- ESANN 1996 - Application of high-order Boltzmann machines in OCR [Details]
- ESANN 1997 - Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences [Details]
- ESANN 1998 - ANN for facial information processing: a review of recent approaches [Details]
- ESANN 2022 - Minkowski logarithmic error: A physics-informed neural network approach for wind turbine lifetime assessment [Details]
- No papers found
- ESANN 2017 - Uncertain photometric redshifts via combining deep convolutional and mixture density networks [Details]
- ESANN 2024 - Stable Diffusion Dataset Generation for Downstream Classification Tasks [Details]
- ESANN 1997 - Neural network for color contrast gain control [Details]
- ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
- ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
- ESANN 2022 - Pruning Weightless Neural Networks [Details]
- No papers found
- ESANN 2007 - "Kernelized" Self-Organizing Maps for Structured Data [Details]
- ESANN 2015 - Exploiting the ODD framework to define a novel effective graph kernel [Details]
- ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
- No papers found
- ESANN 2014 - Probabilistic automata simulation with single layer weightless neural networks [Details]
- ESANN 2014 - Training a classical weightless neural network in a quantum computer [Details]
- ESANN 2014 - Vector space weightless neural networks [Details]
- ESANN 2019 - A WNN model based on Probabilistic Quantum Memories [Details]
- ESANN 2012 - enhanced emotion recognition by feature selection to animate a talking head [Details]
- ESANN 2025 - Efficient Training of Neural SDEs Using Stochastic Optimal Control [Details]
- ESANN 2023 - An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection [Details]
- ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
- No papers found
- ESANN 2020 - Machine learning framework for control in classical and quantum domains [Details]
- ESANN 2025 - Interpretable machine learning for the diagnosis of hyperkinetic movement disorders [Details]
- ESANN 2024 - Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts [Details]
- ESANN 2024 - SAT Instances Generation Using Graph Variational Autoencoders [Details]
- ESANN 2024 - Sequential Continual Pre-Training for Neural Machine Translation [Details]
- ESANN 2023 - A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation. [Details]
- No papers found
- ESANN 2022 - Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets [Details]
- ESANN 2020 - Self-organized dynamic attractors in recurrent neural networks [Details]
- ESANN 2023 - Trends and Challenges for Sign Language Recognition with Machine Learning [Details]
- ESANN 2016 - Spatial Chirp-Z Transformer Networks [Details]
- ESANN 2019 - Conditional BRUNO: a neural process for exchangeable labelled data [Details]
- ESANN 2001 - Texture analysis with the Volterra model using conjugate gradient optimisation [Details]
- ESANN 2002 - Biologically-inspired human motion detection [Details]
- ESANN 2025 - The Regulatory Character of Boredom in AI - Towards a Self-Regulating System based on Spiking Neural Networks [Details]