Conception of a digital Sales Bonus System based on Blockchain Technology
N. N., Conception of a Digital Sales Bonus System Based on Blockchain Technology, 2019.
LibreCat: /record/45231

Textaufgaben lesen und verstehen lernen – Entwicklungsforschungsstudie zur mathematikspezifischen Leseverständnisförderung
J. Dröse, Textaufgaben lesen und verstehen lernen – Entwicklungsforschungsstudie zur mathematikspezifischen Leseverständnisförderung, Springer Spektrum, Heidelberg, 2019.
LibreCat: /record/45387

Scaffolding für fachbezogene textsortenspezifische Lesestrategien – Entwicklungsforschungsstudie zur Förderung des Umgangs mit Textaufgaben
J. Dröse, S. Prediger, in: B. Ahrenholz, S. Jeuk, B. Lütke, J. Paetsch, H. Roll (Eds.), Fachunterricht, Sprachbildung und Sprachkompetenzen , de Gruyter, Berlin, 2019, pp. 107–134.
LibreCat: /record/45390

Know your analysis: how instrumentation aids understanding static analysis
P. Schubert, R. Leer, B. Hermann, E. Bodden, in: Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019, 2019.
LibreCat: /record/14898
DOI: 10.1145/3315568.3329965

Frühe mathematische Bildung im elementarpädagogischen Alltag
J. Bruns, L. Eichen, KiTa aktuell Österreich 7 (2019) 85–86.
LibreCat: /record/45689

VimaS_num: Measuring situational perception in mathematics of early childhood teachers
J. Bruns, H. Gasteiger, in: M. Graven, H. Venkat, A. Essien, P. Vale (Eds.), Proceedings of the 43rd Conference of the International Group for the Psychology of Mathematics Education, 2019, pp. 129–136.
LibreCat: /record/36529

Mathematical pedagogical content knowledge of early childhood teachers: a standardized situation-related measurement approach
H. Gasteiger, J. Bruns, C. Benz, E. Brunner, P. Sprenger, ZDM 52 (2019) 193–205.
LibreCat: /record/21531
DOI: 10.1007/s11858-019-01103-2

Mathematikdidaktischen Wissen von frühpädagogischen Fachkräften aus kognitiv-situationsbezogener Perspektive – Theoretisches Konstrukt und empirische Erfassung
J. Bruns, H. Gasteiger, in: A. Frank, S. Krauss, K. Binder (Eds.), Beiträge zum Mathematikunterricht 2019, WTM-Verlag,  Münster, 2019, pp. 169–172.
LibreCat: /record/36542
DOI: 10.17877/DE290R-20771

Selbst erstellte Skizzen beim mathematischen Modellieren: Ergebnisse einer empirischen Untersuchung [Self-generated drawings for modelling problems: Findings of an empirical study]
J. Schönherr, Selbst erstellte Skizzen beim mathematischen Modellieren: Ergebnisse einer empirischen Untersuchung [Self-generated drawings for modelling problems: Findings of an empirical study], Springer Spektrum, Wiesbaden, 2019.
LibreCat: /record/45331

Implementing a Real-time System on a Platform FPGA operated with ReconOS
C. Lienen, Implementing a Real-Time System on a Platform FPGA Operated with ReconOS, Universität Paderborn, n.d.
LibreCat: /record/15874

A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices
D. Richters, M. Lass, A. Walther, C. Plessl, T. Kühne, Communications in Computational Physics 25 (2019) 564–585.
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

FPGAs im Rechenzentrum
M. Platzner, C. Plessl, Informatik Spektrum (2019).
LibreCat: /record/12871
DOI: 10.1007/s00287-019-01187-w

Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, East Lansing, Michigan, USA, 2019, pp. 516–528.
LibreCat: /record/46338
DOI: 10.1007/978-3-030-12598-1_41

Multimodality in Multi-Objective Optimization — More Boon than Bane?
C. Grimme, P. Kerschke, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), Springer, East Lansing, MI, USA, 2019, pp. 126–138.
LibreCat: /record/46343
DOI: 10.1007/978-3-030-12598-1_11

Automated Algorithm Selection: Survey and Perspectives
P. Kerschke, H.H. Hoos, F. Neumann, H. Trautmann, Evolutionary Computation (ECJ) 27 (2019) 3–45.
LibreCat: /record/46345
DOI: 10.1162/evco_a_00242

Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, H. Trautmann, in: T. Friedrich, C. Doerr, D. Arnold (Eds.), Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Potsdam, Germany, 2019, pp. 58–71.
LibreCat: /record/46339
DOI: 10.1145/3299904.3340307

Multi-Objective Performance Measurement: Alternatives to PA and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P. Pardalos (Eds.), Learning and Intelligent Optimization, Springer, Cham, 2019, pp. 215–219.
LibreCat: /record/46337

Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms
M. Carnein, H. Trautmann, Business and Information Systems Engineering (BISE) 61 (2019) 277–297.
LibreCat: /record/46344

A Recommender System Based on Omni-Channel Customer Data
M. Carnein, L. Homann, H. Trautmann, G. Vossen, in: Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), Moscow, Russia, 2019, pp. 65–74.
LibreCat: /record/46340

Customer Segmentation Based on Transactional Data Using Stream Clustering
M. Carnein, H. Trautmann, in: Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), Macau, China, 2019, pp. 280–292.
LibreCat: /record/46341