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Interactive Visual Analysis of Transcribed Multi-Party Discourse.

, , , , , and . ACL (System Demonstrations), page 49-54. Association for Computational Linguistics, (2017)

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Archaeological Scavenger Hunt on Mobile Devices: From e-Education to e-Business - A Triple Adaptive Mobile Application for Supporting Experts, Tourists and Children., , , and . ICE-B, page 131-136. SciTePress, (2011)Use of Wiki Systems in Archaeology - Privacy, Security and Data Protection as Key Problems., , , , and . ICE-B, page 120-123. SciTePress, (2010)Interactive Visual Analysis of Transcribed Multi-Party Discourse., , , , , and . ACL (System Demonstrations), page 49-54. Association for Computational Linguistics, (2017)A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop., , , , , and . CoRR, (2017)Explainable AI: The New 42?, , , , , , , and . CD-MAKE, volume 11015 of Lecture Notes in Computer Science, page 295-303. Springer, (2018)ArchaeoApp Rome Edition (AARE): Making Invisible Sites Visible - e-Business Aspects of Historic Knowledge Discovery via Mobile Devices., , , , and . DCNET/ICE-B/OPTICS, page 115-122. SciTePress, (2012)Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining., , , and . Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, volume 8401 of Lecture Notes in Computer Science, Springer, (2014)Interactive machine learning: experimental evidence for the human in the algorithmic loop - A case study on Ant Colony Optimization., , , , , , and . Appl. Intell., 49 (7): 2401-2414 (2019)Darwin, Lamarck, or Baldwin: Applying Evolutionary Algorithms to Machine Learning Techniques., , , , , and . WI-IAT (1), page 449-453. IEEE Computer Society, (2014)Can we Trust Machine Learning Results? Artificial Intelligence in Safety-Critical Decision Support., , , and . ERCIM News, (2018)