@article{1439648,
      recid = {1439648},
      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 I /. International Conference on  Artificial Neural Networks (European Neural Network  Society)},
      pages = {1 online resource (xxiii, 617 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 adversarial  machine learning, anomaly detection, attention and  transformers, audio and multimodal applications,  bioinformatics and biosignal analysis, capsule networks and  cognitive models. *The conference was held online 2021 due  to the COVID-19 pandemic.},
      url = {http://library.usi.edu/record/1439648},
      doi = {https://doi.org/10.1007/978-3-030-86362-3},
}