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Arturs Polis
- ESANN 2021 - A Relational Model for One-Shot Classification [Details]
- ESANN 2016 - Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs [Details]
- ESANN 2017 - Uncertain photometric redshifts via combining deep convolutional and mixture density networks [Details]
- ESANN 2024 - Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms [Details]
- ESANN 2024 - Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra [Details]
- ESANN 2014 - Speedy greedy feature selection: Better redshift estimation via massive parallelism [Details]
- ESANN 2015 - Autoencoding time series for visualisation [Details]
- ESANN 2024 - Self-Supervised Learning from Incrementally Drifting Data Streams [Details]
- ESANN 2005 - Graph projection techniques for Self-Organizing Maps [Details]
- ESANN 2004 - MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality [Details]
- ESANN 2009 - Applying Mutual Information for Prototype or Instance Selection in Regression Problems [Details]
- ESANN 2004 - Soft-computing techniques for time series forecasting [Details]
- ESANN 1998 - What are the main factors involved in the design of a Radial Basis Function Network? [Details]
- ESANN 2013 - ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering [Details]
- ESANN 2020 - Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis [Details]
- ESANN 1998 - Selecting among candidate basis functions by crosscorrelations [Details]
- ESANN 1999 - From regression to classification in support vector machines [Details]
- ESANN 1999 - Support vector machines vs multi-layer perceptrons in particle identification [Details]
- ESANN 2003 - On different ensembles of kernel machines [Details]
- ESANN 2003 - Reproducing kernels and regularization methods in machine learning [Details]
- ESANN 2019 - PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors [Details]
- ESANN 2006 - Generalization properties of spiking neurons trained with ReSuMe method [Details]
- ESANN 2017 - Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks [Details]
- ESANN 2019 - Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning [Details]
- ESANN 2026 - High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models [Details]
- ESANN 2020 - Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System [Details]
- ESANN 2012 - gNBXe -- a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps [Details]
- ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]
- ESANN 2004 - a preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks [Details]
- ESANN 2014 - Modeling consumption of contents and advertising in online newspapers [Details]
- ESANN 2025 - Coherence-based Sample Selection for Class-incremental Learning [Details]
- ESANN 2022 - Dynamics-aware Representation Learning via Multivariate Time Series Transformers [Details]
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- ESANN 2020 - Understanding and improving unsupervised training of Boltzman machines [Details]
- ESANN 2008 - GeoKernels: modeling of spatial data on geomanifolds [Details]
- ESANN 2025 - Inferring Underwater Topography with Finite Volume Neural Networks [Details]
- ESANN 2025 - Quantum Annealing based Feature Selection [Details]
- ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]