Richters, Dorothee, Michael Lass, Andrea Walther, Christian Plessl, and Thomas Kühne. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.”https://doi.org/10.4208/cicp.OA-2018-0053__Communications in Computational Physics 25, no. 2 (2019): 564–85.https://doi.org/10.4208/cicp.OA-2018-0053 .
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.”https://doi.org/10.1007/s00287-019-01187-w__Informatik Spektrum, 2019.https://doi.org/10.1007/s00287-019-01187-w .
LibreCat: /record/12871
DOI: 10.1007/s00287-019-01187-w

Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.”https://doi.org/10.1007/978-3-030-12598-1_41__In Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:516–528. Lecture Notes in Computer Science. East Lansing, Michigan, USA: Springer International Publishing, 2019.https://doi.org/10.1007/978-3-030-12598-1_41 .
LibreCat: /record/46338
DOI: 10.1007/978-3-030-12598-1_41

Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality in Multi-Objective Optimization — More Boon than Bane?”https://doi.org/10.1007/978-3-030-12598-1_11__In Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture Notes in Computer Science. East Lansing, MI, USA: Springer, 2019.https://doi.org/10.1007/978-3-030-12598-1_11 .
LibreCat: /record/46343
DOI: 10.1007/978-3-030-12598-1_11

Kerschke, Pascal, Holger H Hoos, Frank Neumann, and Heike Trautmann. “Automated Algorithm Selection: Survey and Perspectives.”https://doi.org/10.1162/evco_a_00242__Evolutionary Computation (ECJ) 27, no. 1 (2019): 3–45.https://doi.org/10.1162/evco_a_00242 .
LibreCat: /record/46345
DOI: 10.1162/evco_a_00242

Bossek, Jakob, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, and Heike Trautmann. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.”https://doi.org/10.1145/3299904.3340307__In Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), edited by Tobias Friedrich, Carola Doerr, and Dirk Arnold, 58–71. Potsdam, Germany, 2019.https://doi.org/10.1145/3299904.3340307 .
LibreCat: /record/46339
DOI: 10.1145/3299904.3340307

Bossek, J, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PA and Expected Running Time.” In Learning and Intelligent Optimization, edited by R Battiti, M Brunato, I Kotsireas, and P Pardalos, 11353:215–219. Lecture Notes in Computer Science. Cham: Springer, 2019.
LibreCat: /record/46337

Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” Business and Information Systems Engineering (BISE) 61, no. 3 (2019): 277–297.
LibreCat: /record/46344

Carnein, Matthias, Leschek Homann, Heike Trautmann, and Gottfried Vossen. “A Recommender System Based on Omni-Channel Customer Data.” In Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 65–74. Moscow, Russia, 2019.
LibreCat: /record/46340

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

Grimme, Christian, Pascal Kerschke, Michael T M Emmerich, Mike Preuss, André H Deutz, and Heike Trautmann. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.”https://doi.org/10.1063/1.5090019__In AIP Conference Proceedings, 020052-1-020052–54. Leiden, The Netherlands: AIP Publishing, 2019.https://doi.org/10.1063/1.5090019 .
LibreCat: /record/46342
DOI: 10.1063/1.5090019

Dröse, Jennifer. “Comprehending Mathematical Problem Texts – Fostering Subject-Specific Reading Strategies for Creating Mental Text Representation.” In Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education, edited by U. T. Jankvist, M. van den Heuvel-Panhuizen, and M. Veldhuis. Utrecht: Freudenthal Group &; ERME, 2019.
LibreCat: /record/45388

Dröse, Jennifer. “Mathematical and Linguistic Features of Word Problems in Grade 4 and 5 German Textbooks – A Compara-Tive Corpus Linguistic Approach.” In Proceedings of the Third International Conference on Mathematics Textbook Research and Development , edited by S. Rezat, M. Hattermann, J. Schumacher, and H. Wuschke, 161–66. Paderborn, 2019.
LibreCat: /record/45389

Faulwasser, Tim, K. Flaßkamp, Sina Ober-Blöbaum, and Karl Worthmann. “Towards Velocity Turnpikes in Optimal Control of Mechanical Systems.” edited by IFAC-PapersOnLine, 52(16):490–95, 2019.
LibreCat: /record/29867

Gburrek, Tobias, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, and Petra Wagner. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.”https://doi.org/10.21437/SSW.2019-15__In Proc. 10th ISCA Speech Synthesis Workshop, 81–86, 2019.https://doi.org/10.21437/SSW.2019-15 .
LibreCat: /record/15237
DOI: 10.21437/SSW.2019-15

Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.” In DCA Workshop, New York, USA, 2019.
LibreCat: /record/15794

Ebbers, Janek, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, and Walter Kellermann. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” In CAMSAP 2019, Guadeloupe, West Indies, 2019.
LibreCat: /record/15796

Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.”https://doi.org/10.1007/978-3-030-25147-5_7__In Applications in Statistical Computing, edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, and Maurizio Vichi, 93–123. Springer, 2019.https://doi.org/10.1007/978-3-030-25147-5_7 .
LibreCat: /record/46336
DOI: 10.1007/978-3-030-25147-5_7

Trautmann, Heike. Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2019.
LibreCat: /record/46335

Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.”https://doi.org/10.1162/evco_a_00236__Evolutionary Computation (ECJ) 27, no. 1 (2019): 99–127.https://doi.org/10.1162/evco_a_00236 .
LibreCat: /record/46346
DOI: 10.1162/evco_a_00236