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WISHFUL - Website extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage.

Shahania, S., Spiliopoulou, M., & Broneske, D. (2023).
WISHFUL - Website extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage. In Delir Haghighi, P. et al. (Hrsg.), Information Integration and Web Intelligence (iiWAS 2023) (S. 20-26). Cham: Springer. https://doi.org/10.1007/978-3-031-48316-5_3
Abstract

Extracting information from diverse websites is increasingly important, especially for analyzing vast data sets to detect trends, gain insights. By studying job ads, researchers can monitor employer demand shifts, assisting policymakers in aiding affected workers and industries. However, extraction faces challenges like varied website formats, dynamic content, and duplicate data. This study introduces a method for extracting data from diverse private university websites involving keyword identification, website categorization, and extraction pipelines.

Does the higher education experience affect political interest, efficacy, and participation? Comparing dropouts to graduates and ‘non-starters’.

Mishra, S., Klein, D., & Müller, L. (2023).
Does the higher education experience affect political interest, efficacy, and participation? Comparing dropouts to graduates and ‘non-starters’. European Journal of Higher Education. https://doi.org/10.1080/21568235.2023.2276853

Large language models and low-resource languages: An examination of Armenian NLP.

Avetisyan, H., & Broneske, D. (2023).
Large language models and low-resource languages: An examination of Armenian NLP. Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), 2023, 199-210.

Pragmatische Tools oder kreativer Umgang? Qualitative Methoden in der anwendungsorientierten Hochschulforschung.

Behrmann, L., İkiz-Akıncı, D., & Rückamp, V. (2023).
Pragmatische Tools oder kreativer Umgang? Qualitative Methoden in der anwendungsorientierten Hochschulforschung. Forum Qualitative Sozialforschung 24(3). www.qualitative-research.net, https://doi.org/10.17169/fqs-24.3.3968 (Abgerufen am: 26.09.2023) (online first). https://doi.org/10.17169/fqs-24.3.3968

A strategy for retrospective evaluation of students SQL learning engagements.

Obionwu, C. V., Kalu, K. O., Blockhaus, P., Broneske, D., & Saake, G. (2023).
A strategy for retrospective evaluation of students SQL learning engagements. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023) (S. 1-7). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252347

Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system.

Obionwu, C. V., Abbas, S. M. L., Padmanabhan, V., Tiwari, T., Broneske, D., & Saake, G. (2023).
Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (S. 1-6). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252423

FPGA-integrated bag of little bootstraps accelerator for approximate database query processing.

Burtsev, V., Wilhelm, M., Drewes, A., Gurumurthy, B., Broneske, D., Pionteck, T., & Saake, G. (2023).
FPGA-integrated bag of little bootstraps accelerator for approximate database query processing. In F. Palumbo, G. Keramidas, N. Voros, & P. C. Diniz (Hrsg.), Applied Reconfigurable Computing. Architectures, Tools, and Applications (ARC 2023). Lecture Notes in Computer Science (S. 115-130). Cham: Springer.

Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch.

Safikhani, P., & Broneske, D. (2023).
Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch. In D. C. Wyld & D. Nagamalai (Hrsg.), Computer Science & Information Technology (CS & IT) (S. 23-38). Chennai, Tamil Nadu, India: AIRCC Publishing Corporation.

Decoding the encoded - Linguistic secrets of language models: A systematic literature review.

Avetisyan, H., & Broneske, D. (2023).
Decoding the encoded - Linguistic secrets of language models: A systematic literature review. In D. C. Wyld & D. Nagamalai (Hrsg.), Computer Science & Information Technology (CS & IT) (S. 67-88). Chennai, Tamil Nadu, India: AIRCC Publishing Corporation.

Investigating respondents’ willingness to participate in video-based web surveys.

Höhne, J. K., Ziller, C., & Lenzner, T. (2023).
Investigating respondents’ willingness to participate in video-based web surveys. International Journal of Market Research. https://doi.org/10.1177/14707853231198788 (Abgerufen am: 06.09.2023) (online first). https://doi.org/10.1177/14707853231198788

What happens when two multi-query optimization paradigms combine?

Gurumurthy, B., Bidarkar, V. R., Broneske, D., Pionteck, T., & Saake, G. (2023).
What happens when two multi-query optimization paradigms combine? In A. Abelló, P. Vassiliadis, O. Romero, & R. Wrembel (Hrsg.), Advances in Databases and Information Systems (ADBIS 2023). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-42914-9_6

Investigating lakehouse-backbones for vehicle sensor data.

Vox, C., Broneske, D., Piewek, J., Feigel, J., & Saake, G. (2023).
Investigating lakehouse-backbones for vehicle sensor data. In C. Strauss, T. Amagasa, G. Kotsis, A. M. Tjoa, & I. Khalil (Hrsg.), Database and Expert Systems Applications (DEXA 2023). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-39847-6_17

Mustervertrag Datennutzung KonsortSWD (Version 2.0.0).

Schallaböck, J., Kreuzer, T., Hoffstätter, U., & Buck, D. (2023).
Mustervertrag Datennutzung KonsortSWD (Version 2.0.0). Hannover: DZHW. https://doi.org/10.5281/zenodo.8186162

Investigating direction effects in rating scales with five and seven points in a probability-based online panel.

Höhne, J. K., Krebs, D., & Kühnel, S. (2023).
Investigating direction effects in rating scales with five and seven points in a probability-based online panel. Survey Research Methods, 17(2), 193-204. https://doi.org/10.18148/srm/2023.v17i2.8006

Automatic instructional feedback, and a lecture hub system: A strategy towards nurturing the acquisition of a structured engagement behavior.

Obionwu, V., Toulouse, V., Broneske, D., & Saake, G. (2023).
Automatic instructional feedback, and a lecture hub system: A strategy towards nurturing the acquisition of a structured engagement behavior. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, & C. Quix (Hrsg.), Data Management Technologies and Applications. DATA DATA 2022 2021. Communications in Computer and Information Science. Cham: Springer. https://doi.org/10.1007/978-3-031-37890-4_11
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