Showing items with similar title or keywords.

• 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)

• 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 ...

• Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging 

  Nevalainen, Olli; Honkavaara, Eija; Tuominen, Sakari; Viljanen, Niko; Hakala, Teemu; Yu, Xiaowei; Hyyppä, Juha; Saari, Heikki; Pölönen, Ilkka; Imai, Nilton N.; Tommaselli, Antonio M. G. (MPDI, 2017)

  Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. ...

• 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, ...