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On the use of Machine Learning methods in rock art research with application to automatic painted rock art identification
6 references·13 citing·36 second hop
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this work references cited by second hop

References

  • 2017Human occupation of northern Australia by 65,000 years ago1,184 cited
  • 1993Journey in time : the world's longest continuing art tradition : the 50,000 year story of the Australian aboriginal rock art of Arnhem land109 cited
  • 1988The rock paintings of Arnhem Land, Australia : social, ecological and material culture change in the Post-Glacial period75 cited
  • 2020Maliwawa figures—a previously undescribed Arnhem Land rock art style64 cited
  • 2021Artificial Intelligence, 3D Documentation, and Rock Art—Approaching and Reflecting on the Automation of Identification and Classification of Rock Art Images63 cited
  • 2019Connecting to the ancestors: Why rock art is important for indigenous Australians and their well-being32 cited

Cited by

  • 2024Digitising the Deep Past: Machine Learning for Rock Art Motif Classification in an Educational Citizen Science Application12 cited
  • 2024Old and New Approaches in Rock Art: Using Animal Motifs to Identify Palaeohabitats4 cited
  • 2026Reevaluating Hand Stencil Phenomena in Cave Art: A Step Forward towards the Characterization of Symbolic Patterns during the Upper Palaeolithic in Europe2 cited
  • 2025Exploring Artificial Intelligence Capabilities in the Detection and Classification of Prehistoric Rock Art Paintings1 cited
  • 2025Using digital archaeology and machine learning to determine sex in finger flutings1 cited
  • 2026Inteligencia artificial en el arte rupestre: límites, posibilidades y desafíos de una evolución incierta1 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2025Recognizing past shapes: sex differentiation through deep learning on European Upper Palaeolithic hand stencils0 cited
  • 2025A Comprehensive Framework for Rock Painting Preservation: Data Acquisition, Database Construction, and AI-Based Retrieval0 cited
  • 2025From Pixels to Patterns: Artificial Intelligence and Digital Imaging for Rock Art Interpretation0 cited
  • 2026Localised decorrelation stretch (L-DCS) for improved visibility of large, dense rock art scenes0 cited
  • 2026Deep learning-based classification of Yinshan rock art and future research directions0 cited
  • 2026Inteligencia artificial generativa y documentación sintética en el estudio del arte rupestre0 cited
  • 2026A Dual-Task Assisted Model for Rock Art Dating: An Application Study Based on Transfer Learning and Handcrafted Feature Fusion0 cited