Research | AAU Campus

The Research Information System (German abbreviation: FoDok) of the University of Klagenfurt comprises the academic achievements of researchers for the time interval of their active employment at the University of Klagenfurt. The FoDok also contains the achievements of doctoral students and emeritus/retired researchers.
For the analysis on an individual level please note that the entries in the FoDok do not give a comprehensive overview of the achievements of the individual researchers.

Article in Proceedings (901)

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Erwachsenenpädagogisches Handeln von Lehrkräftefortbildner:innen.

Rotschnig S.: In: DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation 2024, S. 161 - 165.
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Article in Proceedings
Knowing in Algorithmic Regimes: Insights from a Roundtable Discussion on Methods, Interactions and Politics.

Prietl B., Büchner S., Egbert S., Jarke J., Kinder-Kurlanda K., Pöchhacker N. H.: In: Conference Proceedings of the STS Conference Graz 2023 : Critical Issues in Science, Technology‚ and Society Studies Graz: Verlag der Technischen Universität Graz, 2024, pp. 221 - 235.
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Roles, practices and competencies of STEM-teacher educators.

Rotschnig S., Zehetmeier S.: In: STEM & Open Schooling for Sustainability Education : Proceedings of the 4th Educating the Educators Conference (STEM & Open Schooling for Sustainability Education Proceedings of the 4th Educating the Educators Conference ), Münster: WTM-Verlag, 2024, pp. 175 - 178.
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Sind Sinnfluencer*innen die besseren Influencer*innen? . Theoretische Überlegungen und empirische Befunde zum Vergleich zwischen In- und Sinnfluencer*innen

Seeger C.: In: Tagungsband Content Marketing 2.0 : Marketing & Kommunikation IU Internationale Hochschule, 2024, S. 41 - 55.
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On the need for a methodology of didactical content analysis.

Kollosche D.: In: Proceedings of the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13) 2023, pp. 3128 - 3135.
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A Boxplot Metadata Configuration Impact on Time Series Forecasting and Transfer Learning..

Kambale W. V., Deeb A., Benarbia T., Al Machot F., Kyamakya K.: In: 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC) IEEE, 2023, pp. 5
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Artificial Dataset Generation for Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: A Survey..

Kazadi K. A., Kambale W. V., Benarbia T., Deeb A., Bokoro P. N., Kyamakya K.: In: 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC) IEEE, 2023, pp. 8 - 19.
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Assessing How Large Language Models Can Be Integrated with or Used for Blockchain Technology: Overview and Illustrative Case Study..

Mbula Mboma J. G., Tshimanga Tshipata O., Kambale W. V., Kyamakya K.: In: 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC) IEEE, 2023, pp. 59 - 70.
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A Vertical Systematic Generalization Towards Real IP Analog-Mixed-Signal AMS Schematics Structure Recognition..

Salem M., Deeb A., Ibrahim A., Kambale W. V., Pichler J., Al Machot F., Kyamakya K.: In: 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC) IEEE, 2023, pp. 283 - 288.
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Ensemble Transfer Learning for Time Series Forecasting: a Sensitivity Analysis Framework for a Shallow Neural Network.

Kambale W. V., Deeb A., Benarbia T., Salem M., Al Machot F., Kyamakya K.: In: 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC) IEEE, 2023, pp. 205 - 211.
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Transformers in Time Series Forecasting: A Brief Transfer Learning Performance Analysis..

Kambale W. V., Krame Kadurah D., El Bahnasawi M., Machot F. A., Benarbia T., Kyamakya K.: In: 2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC) IEEE, 2023, pp. 212 - 217.
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Ensemble Transfer Learning for Time Series Forecasting: A Comparative Sensitivity Analysis of Two Shallow Networks..

Kambale W. V., Deeb A., Machot F. A., Benarbia T., Kyamakya K.: In: Proceedings of 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS) (IEEE XPLORE DIGITAL LIBRARY ), 2023,
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A Graph-Based Approach for Applying Biologically-Inspired Slime Mold Algorithms for Repairing a Power Transmission Network after an Electromagnetic Pulse Attack.

Wogatai K., Winkler J., Elmenreich W.: In: 2023 2nd International Conference on Power Systems and Electrical Technology (PSET) Piscataway (NJ): IEEE, 2023, pp. 1 - 10.
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Energy Dissagregation on a Raspberry Pi with YoMoPie-Extension.

Winkler J., Bousbiat H., Jost S., Elmenreich W.: In: 2023 2nd International Conference on Power Systems and Electrical Technology (PSET) Piscataway (NJ): IEEE, 2023,
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UVIO: An UWB-Aided Visual-Inertial Odometry Framework with Bias-Compensated Anchors Initialization.

Delama G., Shamsfakhr F., Weiss S. M., Fontanelli D., Fornasier A.: In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Piscataway (NJ): IEEE, 2023,
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Wireless Capacitive Tactile Sensor Arrays for Sensitive/Delicate Robot Grasping.

Ergun S., Mitterer T., Khan S., Anandan N., Mishra R. B., Kosel J., Zangl H.: In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Piscataway (NJ): IEEE, 2023, pp. 10777 - 10784.
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Exploring the Potential of Self-Organizing Applications in Energy Networks.

Wogatai K.: In: IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Piscataway (NJ): IEEE, 2023,
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Dispatching in Real Frontend Fabs with Industrial Grade Discrete-Event Simulations by Deep Reinforcement Learning with Evolution Strategies.

Stöckermann P., Immordino A., Altenmüller T., Seidel G., Gebser M., Tassel P. P. A., Chan C. W., Zhang F.: In: Winter Simulation Conference (WSC 2023) IEEE Press Piscataway, 2023,
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Semiconductor Fab Scheduling with Self-Supervised and Reinforcement Learning.

Tassel P. P. A., Kovács B., Gebser M., Schekotihin K., Stöckermann P., Seidel G.: In: Winter Simulation Conference (WSC 2023) IEEE Press Piscataway, 2023,
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Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language.

Wiegand M., Kampfmeier J., Eder E., Ruppenhofer J.: In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing Association for Computational Linguistics, 2023, pp. 16280 - 16297.
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