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Simon Heilig
- No papers found
- ESANN 2022 - Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification [Details]
- ESANN 2009 - Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers [Details]
- ESANN 2021 - Behavior Constraining in Weight Space for Offline Reinforcement Learning [Details]
- ESANN 2024 - Why long model-based rollouts are no reason for bad Q-value estimates [Details]
- ESANN 2015 - Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction [Details]
- ESANN 2018 - Continuous convolutional object tracking [Details]
- ESANN 2024 - Robustness and Regularization in Hierarchical Re-Basin [Details]
- ESANN 2000 - Nonlinear, statistical data-analysis for the optimal construction of neural-network inputs with the concept of a mutual information [Details]
- ESANN 2012 - A hybrid CMOS/memristive nanoelectronic circuit for programming synaptic weights [Details]
- ESANN 2009 - A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises [Details]
- ESANN 2023 - On Instance Weighted Clustering Ensembles [Details]
- ESANN 2020 - Machine learning in the biopharma industry [Details]
- ESANN 2022 - Real-time capable Ensemble Estimation for 2D Object Detection [Details]
- No papers found
- ESANN 2022 - Improving Laplacian Pyramids Regression with Localization in Frequency and Time [Details]
- No papers found
- ESANN 2013 - A competitive approach for human activity recognition on smartphones [Details]
- ESANN 2002 - Estimating probabilities for unbounded categorization problems [Details]
- ESANN 2007 - Adaptive Global Metamodeling with Neural Networks [Details]
- ESANN 2020 - Gaussian process regression for the estimation of stable univariate time-series processes [Details]
- ESANN 2016 - Extending a two-variable mean to a multi-variable mean [Details]
- ESANN 2017 - Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation [Details]
- ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
- ESANN 2024 - Reconstruction of Mammography Projections using Image-to-Image Translation Techniques [Details]
- ESANN 2008 - Emergence of stimulus-specific synchronous response through STDP in recurrent neural networks [Details]
- ESANN 2017 - Degrees of Freedom in Regression Ensembles [Details]
- ESANN 2014 - Exploiting similarity in system identification tasks with recurrent neural networks [Details]
- ESANN 1993 - Motion processing in the retina: about a velocity matched filter [Details]
- ESANN 1997 - From retinal circuits to motion processing: a neuromorphic approach to velocity estimation [Details]
- ESANN 1997 - Scene categorisation by curvilinear component analysis of low frequency spectra [Details]
- ESANN 2002 - Searching for the embedded manifolds in high-dimensional data, problems and unsolved questions [Details]
- ESANN 2013 - Detection and quantification in real-time polymerase chain reaction [Details]
- ESANN 2016 - Deep multi-task learning with evolving weights [Details]
- ESANN 2019 - Pixel-wise Conditioning of Generative Adversarial Networks [Details]
- ESANN 2014 - Extreme learning machines for Internet traffic classification [Details]
- ESANN 2000 - Robust Bayes Point Machines [Details]