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15 Publikationen
2024 | Buchbeitrag | FH-PUB-ID: 5368
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2024). A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, & C. Jayne (Eds.), Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings (pp. 317–328). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-62495-7_24
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2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2024). A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, & C. Jayne (Eds.), Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings (pp. 317–328). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-62495-7_24
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2023 | Buchbeitrag | FH-PUB-ID: 3222
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. In L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, & E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings (pp. 191–202). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34204-2_17
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2023 | Buchbeitrag | FH-PUB-ID: 3633
Eller, D., Laak, M. M. J., Becking, D., Schmitz, A.-K., Seelmeyer, U., Waag, P., & Weinhardt, M. (2023). Exchanging Files Securely in a Stationary Telepresence Consultation System Using Jitsi Meet. In C. Stephanidis, M. Antona, S. Ntoa, & G. Salvendy (Eds.), HCI International 2023 Posters. 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part III (pp. 60–67). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35998-9_9
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2022 | Konferenzbeitrag | FH-PUB-ID: 2276
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2022). SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In L. Iliadis, C. Jayne, A. Tefas, & E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings (pp. 40–51). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-08223-8_4
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2022 | Buchbeitrag | FH-PUB-ID: 2687
Schultenkämper, S., & Bäumer, F. (2022). The Only Link You’ll Ever Need: How Social Media Reference Landing Pages Speed Up Profile Matching. In A. Lopata, D. Gudonienė, & R. Butkienė (Eds.), Information and Software Technologies. 28th International Conference, ICIST 2022, Kaunas, Lithuania, October 13–15, 2022, Proceedings (pp. 136–147). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-16302-9_10
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2021 | Konferenzbeitrag | FH-PUB-ID: 1791
Denisov, S., & Bäumer, F. (2021). How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets. In A. Lopata, D. Gudonienė, & R. Butkienė (Eds.), Information and Software Technologies. 27th International Conference, ICIST 2021, Kaunas, Lithuania, October 14–16, 2021, Proceedings (pp. 353–366). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-88304-1_28
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2021 | Konferenzbeitrag | FH-PUB-ID: 2302
Laak, M. M. J., Schmitz, A.-K., Becking, D., Seelmeyer, U., Waag, P., & Weinhardt, M. (2021). STellaR – A Stationary Telepresence Counselling System for Collaborative Work on Paper Documents. In C. Stephanidis, M. Antona, & S. Ntoa (Eds.), HCI International 2021 - Late Breaking Posters. 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part II (pp. 383–389). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-90179-0_49
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2018 | Buchbeitrag | FH-PUB-ID: 1741
Bäumer, F., & Geierhos, M. (2018). NLP in OTF Computing: Current Approaches and Open Challenges. In R. Damaševičius & G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings (pp. 559–570). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-99972-2_46
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2018 | Artikel | FH-PUB-ID: 1762
Bäumer, F., Kersting, J., Kuršelis, V., & Geierhos, M. (2018). Rate Your Physician: Findings from a Lithuanian Physician Rating Website. Communications in Computer and Information Science, 920, 43–58. https://doi.org/10.1007/978-3-319-99972-2_4
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2018 | Buchbeitrag | FH-PUB-ID: 1742
Bäumer, F., Kersting, J., Kuršelis, V., & Geierhos, M. (2018). Rate Your Physician: Findings from a Lithuanian Physician Rating Website. In R. Damaševičius & G. Vasiljevienė (Eds.), Information and Software Technologies. 24th International Conference, ICIST 2018, Vilnius, Lithuania, October 4–6, 2018, Proceedings (pp. 43–58). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-99972-2_4
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2017 | Buchbeitrag | FH-PUB-ID: 1746
Bäumer, F., Grote, N., Kersting, J., & Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damaševičius & V. Mikašytė (Eds.), Information and Software Technologies (pp. 77–89). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-67642-5_7
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2016 | Buchbeitrag | FH-PUB-ID: 1749
Bäumer, F., & Geierhos, M. (2016). Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings (Vol. 639, pp. 549–558). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-46254-7_44
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2015 | Buchbeitrag | FH-PUB-ID: 1781
Bäumer, F., Geierhos, M., & Schulze, S. (2015). A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015, Proceedings (pp. 3–15). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-24770-0_1
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2010 | Konferenzbeitrag | FH-PUB-ID: 5832
Berlik, S., & Nasiri, M. (2010). An Adaptive Fuzzy Model Predictive Control System for the Textile Fiber Industry. In E. Hüllermeier, R. Kruse, & F. Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications (pp. 729–736). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_75
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