NNDLS – poster session papers

  1. A novel DNN-based image watermarking algorithm – Slavko Kovačević, Kosta Pavlovic, Igor Djurovic
  2. Autoregressive Label-Conditioned Autoencoder for Controllable Image-To-Video Generation – Kacper Kubicki, Krzysztof Slot
  3. Building energy use intensity prediction with artificial neural networks – Kamil Stokfiszewski, Przemysław Sztoch, Ryszard Sztoch, Agnieszka Wosiak
  4. Comparison of time series forecasting methods in industrial applications – Maciej Rubczyński, Łukasz Grala, Jakub Wawrzyniak, Natalia Szóstak
  5. Evaluation of Dermatological Asymmetry Measure of Shape by Machine Learning Methods – Łukasz Wąs, Piotr Milczarski, Sławomir Wiak
  6. Evaluation of factor analisys based on Dermatological Asymmetry Measure of Shape – Łukasz Wąs, Sławomir Wiak, Łukasz Szymański
  7. Increasing Skin Lesions Classification Rates using Convolutional Neural Networks with Invariant Dataset Augmentation and the Three-Point Checklist of Dermoscopy –  Piotr Milczarski, Norbert Borowski, Michał Beczkowski
  8. Local Energy Redistribution Units For Space Dimensionality Reduction In Data Classification – Dariusz Puchala
  9. Massively Organizing Neural Interface: Detection of Anomalies in Insurance Claims – Jacek Wolski
  10. Omniglot Datasets Comparison using CGPM – Pamela Krzypkowska
  11. Tiny neural networks for point cloud analysis – Jakub Walczak, Adam Wojciechowski