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Luca Miglior
- ESANN 2025 - Towards Efficient Molecular Property Optimization with Graph Energy Based Models [Details]
- ESANN 2018 - Learning compressed representations of blood samples time series with missing data [Details]
- ESANN 1994 - Memory, learning and neuromediators [Details]
- ESANN 2025 - Exoplanet detection in angular and spectral differential imaging with an accelerated proximal gradient algorithm [Details]
- ESANN 2021 - Combining Attack Success Rate and DetectionRate for effective Universal Adversarial Attacks [Details]
- ESANN 2025 - A Model of Memristive Nanowire Neuron for Recurrent Neural Networks [Details]
- ESANN 2026 - Memristive-Friendly Hadamard Reservoirs [Details]
- ESANN 2020 - Biochemical Pathway Robustness Prediction with Graph Neural Networks [Details]
- ESANN 2010 - An automated SOM clustering based on data topology [Details]
- ESANN 2015 - Bernoulli bandits: an empirical comparison [Details]
- ESANN 2017 - Comparison of adaptive MCMC methods [Details]
- ESANN 2009 - Improving BAS committee performance with a semi-supervised approach [Details]
- ESANN 2019 - Human feedback in continuous actor-critic reinforcement learning [Details]
- ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
- ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
- ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
- ESANN 2026 - Where to grow: a surprisingly straightforward criterion to detect under-expressive layers [Details]
- ESANN 2023 - On Transformer Autoregressive Decoding for Multivariate Time Series Forecasting [Details]
- ESANN 1997 - Recurrent neural networks and motor programs [Details]
- ESANN 2000 - Support Vector Committee Machines [Details]
- ESANN 2002 - State reconstruction of piecewise linear maps using a clustering machine [Details]
- ESANN 2012 - Towards biologically realistic multi-compartment neuron model emulation in analog VLSI [Details]
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- ESANN 2022 - 1D vs 2D convolutional neural networks for scalp high frequency oscillations identification [Details]
- ESANN 2025 - Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers [Details]
- ESANN 2026 - Learning and Reasoning on Knowledge and Heterogeneous Graphs in the era of Graph Foundation and Large Language Models [Details]
- ESANN 2007 - Kernel PCA based clustering for inducing features in text categorization [Details]
- ESANN 2009 - Monotonic Recurrent Bounded Derivative Neural Network [Details]
- ESANN 2011 - Comparison of the Complex Valued and Real Valued Neural Networks Trained with Gradient Descent and Random Search Algorithms [Details]
- ESANN 2012 - Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem [Details]
- No papers found
- ESANN 2022 - Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets [Details]
- ESANN 2014 - Fine-tuning of support vector machine parameters using racing algorithms [Details]
- ESANN 2017 - A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets [Details]
- ESANN 2003 - Anticipated synchronization in neuron models [Details]
- ESANN 2020 - Detection of abnormal driving situations using distributed representations and unsupervised learning [Details]
- ESANN 2018 - Towards cognitive automotive environment modelling: reasoning based on vector representations [Details]
- ESANN 2019 - Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions [Details]
- ESANN 2019 - Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture [Details]
- ESANN 1998 - On the robust design of uncoupled CNNs [Details]
- ESANN 2019 - Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems [Details]