---
res:
  bibo_abstract:
  - Neural-network classifiers achieve high accuracy when predicting the class of
    an input that they were trained to identify. Maintaining this accuracy in dynamic
    environments, where inputs frequently fall outside the fixed set of initially
    known classes, remains a challenge. The typical approach is to detect inputs from
    novel classes and retrain the classifier on an augmented dataset. However, not
    only the classifier but also the detection mechanism needs to adapt in order to
    distinguish between newly learned and yet unknown input classes. To address this
    challenge, we introduce an algorithmic framework for active monitoring of a neural
    network. A monitor wrapped in our framework operates in parallel with the neural
    network and interacts with a human user via a series of interpretable labeling
    queries for incremental adaptation. In addition, we propose an adaptive quantitative
    monitor to improve precision. An experimental evaluation on a diverse set of benchmarks
    with varying numbers of classes confirms the benefits of our active monitoring
    framework in dynamic scenarios.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Anna
      foaf_name: Lukina, Anna
      foaf_surname: Lukina
      foaf_workInfoHomepage: http://www.librecat.org/personId=CBA4D1A8-0FE8-11E9-BDE6-07BFE5697425
  - foaf_Person:
      foaf_givenName: Christian
      foaf_name: Schilling, Christian
      foaf_surname: Schilling
      foaf_workInfoHomepage: http://www.librecat.org/personId=3A2F4DCE-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-3658-1065
  - foaf_Person:
      foaf_givenName: Thomas A
      foaf_name: Henzinger, Thomas A
      foaf_surname: Henzinger
      foaf_workInfoHomepage: http://www.librecat.org/personId=40876CD8-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-2985-7724
  bibo_doi: 10.1007/978-3-030-88494-9_3
  bibo_volume: '12974 '
  dct_date: 2021^xs_gYear
  dct_identifier:
  - UT:000719383800003
  dct_isPartOf:
  - http://id.crossref.org/issn/0302-9743
  - http://id.crossref.org/issn/1611-3349
  - http://id.crossref.org/issn/9-783-0308-8493-2
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_subject:
  - monitoring
  - neural networks
  - novelty detection
  dct_title: 'Into the unknown: active monitoring of neural networks@'
...