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38 Publikationen
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
Koravuna, S., Sanaullah, S., Jungeblut, T., & Rückert, U. (2023). Digit Recognition Using Spiking Neural Networks on FPGA. In I. Rojas, G. Joya, & A. Catala (Eds.), Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (pp. 406–417). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43085-5_32
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2023 | Konferenzbeitrag | FH-PUB-ID: 3622
Stecker, B., & Brandt-Pook, H. (2023). Application of Object Detection Models for the Detection of Kitchen Furniture - A Comparison. In L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, & J. M. Zurada (Eds.), Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II (pp. 91–101). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42508-0_9
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2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, T., Schöne, M., Kohlhase, M., Nelles, O., & Kuhn, M. (2022). Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes. In H. Yin, D. Camacho, & P. Tino (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (pp. 379–390). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-21753-1_37
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2022 | Konferenzbeitrag | FH-PUB-ID: 3050 | 
Vieth, M., Grimmelsmann, N., Schneider, A., & Hammer, B. (2022). Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In H. Yin, D. Camacho, & P. Tino (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (Vol. 13756, pp. 326–337). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-21753-1_32
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2022 | Buchbeitrag | FH-PUB-ID: 2483
Badami, M., Benatallah, B., & Baez Gonzalez, M. (2022). Systematic Literature Review Search Query Refinement Pipeline: Incremental Enrichment and Adaptation. In X. Franch, G. Poels, F. Gailly, & M. Snoeck (Eds.), Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings (pp. 129–146). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-07472-1_8
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2022 | Buchbeitrag | FH-PUB-ID: 2481
Baez Gonzalez, M., Cappiello, C., Cutrupi, C. M., Matera, M., Possaghi, I., Pucci, E., … Pasquale, A. (2022). Supporting Natural Language Interaction with the Web. In T. Di Noia, I.-Y. Ko, M. Schedl, & C. Ardito (Eds.), Web Engineering. 22nd International Conference, ICWE 2022, Bari, Italy, July 5–8, 2022, Proceedings (pp. 383–390). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-09917-5_26
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2022 | Buchbeitrag | FH-PUB-ID: 2480
Bouguelia, S., Brabra, H., Benatallah, B., Baez Gonzalez, M., Zamanirad, S., & Kheddouci, H. (2022). Context Knowledge-Aware Recognition of Composite Intents in Task-Oriented Human-Bot Conversations. In X. Franch, G. Poels, F. Gailly, & M. Snoeck (Eds.), Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings (pp. 237–252). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-07472-1_14
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2022 | Buchbeitrag | FH-PUB-ID: 2479
Ramírez, J., Baez Gonzalez, M., Berro, A., Benatallah, B., & Casati, F. (2022). Crowdsourcing Syntactically Diverse Paraphrases with Diversity-Aware Prompts and Workflows. In X. Franch, G. Poels, F. Gailly, & M. Snoeck (Eds.), Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings (pp. 253–269). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-07472-1_15
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2022 | Buchbeitrag | FH-PUB-ID: 2401
Bouguelia, S., Berro, A., Benatallah, B., Baez Gonzalez, M., Brabra, H., Zamanirad, S., & Kheddouci, H. (2022). Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services. In J. Troya, B. Medjahed, M. Piattini, L. Yao, P. Fernández, & A. Ruiz-Cortés (Eds.), Service-Oriented Computing. 20th International Conference, ICSOC 2022, Seville, Spain, November 29 – December 2, 2022, Proceedings (pp. 575–583). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-20984-0_41
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2020 | Konferenzbeitrag | FH-PUB-ID: 2668
Ostrau, C., Homburg, J., Klarhorst, C., Thies, M., & Rückert, U. (2020). Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. In I. Farkaš, P. Masulli, & S. Wermter (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II (pp. 610–621). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-61616-8_49
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