@article{1439644,
      recid = {1439644},
      author = {Farkaš, Igor, and Masulli, Paolo, and Otte, Sebastian, and  Wermter, Stefan,},
      title = {Artificial neural networks and machine learning -- ICANN  2021 : 30th International Conference on Artificial Neural  Networks, Bratislava, Slovakia, September 14-17, 2021,  Proceedings., Part II /. International Conference on  Artificial Neural Networks (European Neural Network  Society)},
      pages = {1 online resource (xxiii, 651 pages) :},
      note = {"This year, due to the still unresolved pandemic, the  Organizing Committee, together with the Executive Committee  of ENNS decided to organize ICANN 2021 online  ..."--Preface},
      abstract = {The proceedings set LNCS 12891, LNCS 12892, LNCS 12893,  LNCS 12894 and LNCS 12895 constitute the proceedings of the  30th International Conference on Artificial Neural  Networks, ICANN 2021, held in Bratislava, Slovakia, in  September 2021.* The total of 265 full papers presented in  these proceedings was carefully reviewed and selected from  496 submissions, and organized in 5 volumes. In this  volume, the papers focus on topics such as computer vision  and object detection, convolutional neural networks and  kernel methods, deep learning and optimization, distributed  and continual learning, explainable methods, few-shot  learning and generative adversarial networks. *The  conference was held online 2021 due to the COVID-19  pandemic.},
      url = {http://library.usi.edu/record/1439644},
      doi = {https://doi.org/10.1007/978-3-030-86340-1},
}