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Elia Biganzoli
- ESANN 2008 - Machine learning in cancer research: implications for personalised medicine [Details]
- ESANN 2021 - Complex Data: Learning Trustworthily, Automatically, and with Guarantees [Details]
- ESANN 2021 - Slope: A First-order Approach for Measuring Gradient Obfuscation [Details]
- ESANN 2023 - Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization [Details]
- ESANN 2023 - Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness [Details]
- ESANN 2019 - Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction [Details]
- ESANN 2019 - Societal Issues in Machine Learning: When Learning from Data is Not Enough [Details]
- ESANN 1993 - Probabilistic decision trees ans multilayered perceptrons [Details]
- ESANN 2004 - Three dimensional frames of reference transformations using gain modulated populations of neurons [Details]
- ESANN 1999 - A general approach to construct RBF net-based classifier [Details]
- ESANN 1999 - On the invertibility of the RBF model in a predictive control strategy [Details]
- ESANN 2017 - Detection of non-recurrent road traffic events based on clustering indicators [Details]
- ESANN 2025 - Performance monitoring and wear comprehension through Neural Network [Details]
- ESANN 2017 - Investigating optical transmission error correction using wavelet transforms [Details]
- ESANN 1998 - Lazy learning for control design [Details]
- ESANN 2000 - A multi-steap ahead prediction method based on local dynamic properties [Details]
- ESANN 2025 - Efficient Training of Neural SDEs Using Stochastic Optimal Control [Details]
- ESANN 2009 - Multi-task Preference learning with Gaussian Processes [Details]
- ESANN 2018 - Active Learning based on Transfer Learning Techniques for Image Classification [Details]
- ESANN 2000 - An optimization neural network model with time-dependent and lossy dynamics [Details]
- ESANN 2020 - Gaussian process regression for the estimation of stable univariate time-series processes [Details]
- ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
- ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
- ESANN 2013 - Learning control under uncertainty: A probabilistic Value-Iteration approach [Details]
- ESANN 2004 - Robust Bayesian Mixture Modelling [Details]
- ESANN 2026 - On the Rank Properties of the Renormalization Trick in GCNs [Details]
- ESANN 2021 - Convolutional Neural Network Architecture for Classification of Aircraft Engines Flight Time Series [Details]
- ESANN 2006 - A time-scale correlation-based blind separation method applicable to correlated sources [Details]
- ESANN 2005 - An artificial neural network for analysing the survival of patients with colorectal cancer [Details]
- ESANN 2009 - Does dimensionality reduction improve the quality of motion interpolation? [Details]
- ESANN 2024 - Unpaired Image-to-Image Translation to Improve Log End Identification [Details]
- ESANN 2015 - Towards a Tomographic Index of Systemic Risk Measures [Details]
- ESANN 2010 - Identifying informative features for ERP speller systems based on RSVP paradigm [Details]
- ESANN 2008 - Improvement in Game Agent Control Using State-Action Value Scaling [Details]
- ESANN 2016 - Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics [Details]
- ESANN 2025 - Do not get lost in projection: finding the right distance for meaningful UMAP embeddings [Details]
- ESANN 2018 - K-spectral centroid: extension and optimizations [Details]
- ESANN 2019 - Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality [Details]