Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• A classification of $\protect \mathbb{R}$-Fuchsian subgroups of Picard modular groups 

  Parkkonen, Jouni; Paulin, Frédéric (CEDERAM - Centre de diffusion de revues académiques mathématiques, 2018)

• The Truth is Out There : Focusing on Smaller to Guess Bigger in Image Classification 

  Terziyan, Vagan; Kaikova, Olena; Malyk, Diana; Branytskyi, Vladyslav (Elsevier, 2023)

  In Artificial Intelligence (AI) in general and in Machine Learning (ML) in particular, which are important and integral components of modern Industry 4.0, we often deal with uncertainty, e.g., lack of complete information ...

• Neutrino interaction classification with a convolutional neural network in the DUNE far detector 

  DUNE Collaboration (American Physical Society, 2020)

  The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure CP-violation in the neutrino sector as part of a wider physics program. A deep learning approach based on ...

• Comparison of feature importance measures as explanations for classification models 

  Saarela, Mirka; Jauhiainen, Susanne (Springer, 2021)

  Explainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature ...

• Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation 

  Terziyan, Vagan; Vitko, Oleksandra (Elsevier, 2023)

  Smart manufacturing uses emerging deep learning models, and particularly Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), for different industrial diagnostics tasks, e.g., classification, ...