On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: J. Fieldsend, M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359–356–359.
LibreCat: /record/46305
DOI: 10.1145/3520304.3528998

Process-Oriented Stream Classification Pipeline: A Literature Review
L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 1–44.
LibreCat: /record/46309
DOI: 10.3390/app12189094

The objective that freed me: a multi-objective local search approach for continuous single-objective optimization
P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, C. Grimme, Natural Computing 1 (2022) 1–15.
LibreCat: /record/46308
DOI: 10.1007/s11047-022-09919-w

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 192–206.
LibreCat: /record/46302

Das Stützpunktsystem im paralympischen Leistungssport. Eine empirische Studie unter Berücksichtigung der Perspektive von Para-Athletinnen und -Athleten sowie des Stützpunktpersonals. 
S. Radtke, M.P. Freier, Das Stützpunktsystem im paralympischen Leistungssport. Eine empirische Studie unter Berücksichtigung der Perspektive von Para-Athletinnen und -Athleten sowie des Stützpunktpersonals. , Sportverlag Strauß, 2022.
LibreCat: /record/34922

Das Stützpunktsystem im paralympischen Leistungssport. Eine empirische Studie unter Berücksichtigung der Perspektive von Para-Athletinnen und -Athleten sowie des Stützpunktpersonals. 
S. Radtke, M.P. Freier, Das Stützpunktsystem im paralympischen Leistungssport. Eine empirische Studie unter Berücksichtigung der Perspektive von Para-Athletinnen und -Athleten sowie des Stützpunktpersonals. , Sportverlag Strauß, 2022.
LibreCat: /record/48098

 An approach to teaching data science in middle school
S. Podworny, Y. Fleischer, in: U.T. Jankvist, R. Elicer, A. Clark-Wilson, H.-G. Weigand, M. Thomson (Eds.), Proceedings of the 15th International Conference on Technology in Mathematics Teaching (ICTMT 15), Danish School of Education, Aarhus, Denmark, 2022, pp. 308–315.
LibreCat: /record/48106

 Teaching machine learning with decision trees in middle school using CODAP
Y. Fleischer, S. Podworny, in: U.T. Jankvist, R. Elicer, A. Clark-Wilson, H.-G. Weigand, M. Thomson (Eds.), Proceedings of the 15th International Conference on Technology in Mathematics Teaching (ICTMT 15), Danish School of Education, Aarhus, Denmark, 2022, pp. 280–281.
LibreCat: /record/48103

A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING
S. PODWORNY, S. HÜSING, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).
LibreCat: /record/48108
DOI: 10.52041/serj.v21i2.46

Grade 6 Students’ Perception and Use of Data-Based Decision Trees
S. Podworny, Y. Fleischer, S. Hüsing, in: Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, International Association for Statistical Education, 2022.
LibreCat: /record/48105
DOI: 10.52041/iase.icots11.t2h3

Jupyter Notebooks for Teaching, Learning, and Doing Data Science
Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, in: Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, International Association for Statistical Education, 2022.
LibreCat: /record/48102
DOI: 10.52041/iase.icots11.t10e3

An example of rich, real and multivariate survey data for use in school
S. Podworny, Y. Fleischer, D. Stroop, R. Biehler, in: 2022.
LibreCat: /record/48107

Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen
S. Podworny, mathematik lehren 232 (2022) 36–40.
LibreCat: /record/48104

Privacy-Preserving Graph Convolutional Networks for Text Classification
T. Igamberdiev, I. Habernal, in: Proceedings of the Thirteenth Language Resources and Evaluation Conference, European Language Resources Association, Marseille, France, 2022, pp. 338–350.
LibreCat: /record/48299

DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting
T. Igamberdiev, T. Arnold, I. Habernal, in: Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 2927–2933.
LibreCat: /record/48300

How reparametrization trick broke differentially-private text representation learning
I. Habernal, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Association for Computational Linguistics, 2022.
LibreCat: /record/48298
DOI: 10.18653/v1/2022.acl-short.87

Qualification of Different Carbon Fiber Reinforced Polyether Ether Ketone Materials for the FFF Process
E. Moritzer, J. Wächter, in: Fukuoka (Japan), 2022.
LibreCat: /record/48354

Bewertung von IR-Schweißverbindungen an kurzfaserverstärkten Thermoplasten mittels digitaler Bildkorrelation
K. Gevers, L. Schraa, K. Uhlig, P. Töws, M. Stommel, Bewertung von IR-Schweißverbindungen an Kurzfaserverstärkten Thermoplasten Mittels Digitaler Bildkorrelation, 2022.
LibreCat: /record/48353

Schweißnahtkennwerte für die lebensdaueroptimierte Bauteilauslegung von hochtemperaturbeständigen Thermoplasten
V. Schöppner, S. Vogtschmidt, Schweißnahtkennwerte Für Die Lebensdaueroptimierte Bauteilauslegung von Hochtemperaturbeständigen Thermoplasten, Koblenz, 2022.
LibreCat: /record/48356

On the Wave to Successful Mixing
V. Schöppner, M. Dörner, M. Frank, C. Schall, On the Wave to Successful Mixing, 2022.
LibreCat: /record/48358