dblp: Künstliche Intelligenz, Volume 36 (original) (raw)

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Volume 36, Number 1, March 2022

Learning Computational Thinking

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    Anni-Yasmin Turhan:
    A Double Take at Conferences: The Hybrid Format. 1-4
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    Nina Bonderup Dohn, Yasmin B. Kafai, Anders I. Mørch, Marco Ragni:
    Survey: Artificial Intelligence, Computational Thinking and Learning. 5-16
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    Andrea Valente, Emanuela Marchetti:
    Simplifying Programming for Non-technical Students: A Hermeneutic Approach. 17-33
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    Siri Krogh Nordby, Annette Hessen Bjerke, Louise Mifsud:
    Primary Mathematics Teachers' Understanding of Computational Thinking. 35-46
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    Ane Bjerre Odgaard:
    What is the Problem? A Situated Account of Computational Thinking as Problem-Solving in Two Danish Preschools. 47-57
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    Roland Hachmann:
    The Cyber Weapon: Decomposing Puzzles in Unplugged Computational Thinking Practices with Computational Objects. 59-68
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    Anna Keune:
    Fabric-Based Computing: (Re)examining the Materiality of Computer Science Learning Through Fiber Crafts. 69-72
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    Andreas Lindenskov Tamborg, Raimundo Elicer, Daniel Spikol:
    Programming and Computational Thinking in Mathematics Education. 73-81
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    Nina Bonderup Dohn, Marco Ragni:
    Expertise depends on reasoning through alternative scenarios. 83-85
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    Anders I. Mørch, Yasmin B. Kafai:
    Computational Thinking as a Social Movement. 87-90
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    Noha A. Sarhan, Mikko Lauri, Simone Frintrop:
    Multi-phase Fine-Tuning: A New Fine-Tuning Approach for Sign Language Recognition. 91-98
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    Marcis Pinnis, Stephan Busemann, Arturs Vasilevskis, Josef van Genabith:
    The German EU Council Presidency Translator. 99-104
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    News. 105-108
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    News. 109-112
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    Helen Piel, Rudolf Seising:
    In Memoriam Pamela McCorduck. 113-115

Volume 36, Number 2, September 2022

Application of AI in Digital Forensics

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    Britta Wrede:
    AI: Back to the Roots? 117-120
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    Johannes Fähndrich, Wilfried Honekamp, Roman Povalej, Heiko Rittelmeier, Silvio Berner:
    Special Issue on Application of AI in Digital Forensics. 121-124
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    Gero Szepannek, Karsten Lübke:
    Explaining Artificial Intelligence with Care. 125-134
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    Tommy Bergmann, Martin Klöden, Jan Dressler, Dirk Labudde:
    Automatic Classification of Bloodstains with Deep Learning Methods. 135-141
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    Abiodun A. Solanke, Maria Angela Biasiotti:
    Digital Forensics AI: Evaluating, Standardizing and Optimizing Digital Evidence Mining Techniques. 143-161
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    Michael Spranger, Jian Xi, Lukas Jaeckel, Jenny Felser, Dirk Labudde:
    MoNA: A Forensic Analysis Platform for Mobile Communication. 163-169
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    Sven Becker, Marie-Luise Heuschkel, Sabine Richter, Dirk Labudde:
    COMBI: Artificial Intelligence for Computer-Based Forensic Analysis of Persons. 171-180
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    Johannes Fähndrich, Roman Povalej, Heiko Rittelmeier, Silvio Berner:
    Interview: AI Expert Prof. Müller on XAI. 181-184
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    Anders I. Mørch, Yasmin B. Kafai:
    Correction to: Computational Thinking as a Social Movement. 185
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    Seonghun Kim, Yeonju Jang, Seongyune Choi, Woojin Kim, HeeSeok Jung, Soohwan Kim, Hyeoncheol Kim:
    Correction to: Analyzing Teacher Competency with TPACK for K-12 AI Education. 187
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    Timon Felske, Sebastian Bader, Thomas Kirste:
    Automatic Generation of Personalised and Context-Dependent Textual Interventions During Neuro-rehabilitation. 189-193
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    Walter F. Bodmer:
    Some Thoughts on AI Stimulated by Michael Wooldridge's Book "The Road to Conscious Machines. The Story of AI". 195-199
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    News. 201-206

Volume 36, Number 3, December 2022

Explainable AI

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    Ute Schmid, Britta Wrede:
    Explainable AI. 207-210
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    Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
    Agnostic Explanation of Model Change based on Feature Importance. 211-224
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    Johannes Rabold:
    A Neural-Symbolic Approach for Explanation Generation Based on Sub-concept Detection: An Application of Metric Learning for Low-Time-Budget Labeling. 225-235
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    Matthias Kerzel, Jakob Ambsdorf, Dennis Becker, Wenhao Lu, Erik Strahl, Josua Spisak, Connor Gaede, Tom Weber, Stefan Wermter:
    What's on Your Mind, NICO? 237-254
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    Isabelle Augenstein:
    Habilitation Abstract: Towards Explainable Fact Checking. 255-258
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    Justin Baudisch, Birte Richter, Thorsten Jungeblut:
    A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment. 259-266
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    Philipp Beckerle:
    Human-Robot Body Experience: An Artificial Intelligence Perspective. 267-270
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    Bettina Finzel, Anna Saranti, Alessa Angerschmid, David E. Tafler, Bastian Pfeifer, Andreas Holzinger:
    Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs. 271-285
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    Mareike Hartmann, Han Du, Nils Feldhus, Ivana Kruijff-Korbayová, Daniel Sonntag:
    XAINES: Explaining AI with Narratives. 287-296
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    Michael C. Thrun:
    Identification of Explainable Structures in Data with a Human-in-the-Loop. 297-301
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    Ute Schmid, Britta Wrede:
    What is Missing in XAI So Far? 303-315
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    Josephine Beryl Fisher, Vivien Lohmer, Friederike Kern, Winfried Barthlen, Sebastian Gaus, Katharina J. Rohlfing:
    Exploring Monological and Dialogical Phases in Naturally Occurring Explanations. 317-326
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    Ute Schmid:
    Constructing Explainability - Interdisciplinary Framework to Actively Shape Explanations in XAI. 327-331
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    News. 333-337
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    Ubbo Visser:
    Inflation? 339-340

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