Reconfigurable Random Forest Implementation on FPGA
M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA, Paderborn University, 2023.

Data Analytics for Predictive Maintenance of Time Series Data
N. Yadalam Murali Kumar, Data Analytics for Predictive Maintenance of Time Series Data, Paderborn University, 2023.

The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate
L. Bittel, S. Gharibian, M. Kliesch, in: Proceedings of the 38th Computational Complexity Conference (CCC), 2023, p. 34:1-34:24.

On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling
S. Pukrop, On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling, 2023.

Utilizing Redundancy in Distributed Heterogeneous Storage
F. Schneider, Utilizing Redundancy in Distributed Heterogeneous Storage, 2023.

Graph Neural Network-based Anomaly Detection in  Smart Grid Energy Consumption
A. Ranade, Graph Neural Network-Based Anomaly Detection in  Smart Grid Energy Consumption, 2023.

Highly accurate deep compressed facial recognition
O. Ali, Highly Accurate Deep Compressed Facial Recognition, 2023.

Virtual On-Demand Volunteer System Based on Delaunay Triangulation
N. Ashri, Virtual On-Demand Volunteer System Based on Delaunay Triangulation, 2023.

Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks
M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023).

Improving the End-of-Line Test of Custom-Built Geared Motors using Clustering based on Neural Networks
N. N., Improving the End-of-Line Test of Custom-Built Geared Motors Using Clustering Based on Neural Networks, 2023.

Neuro-Symbolic Class Expression Learning
C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).

Computing and Compressing Electron Repulsion Integrals on FPGAs
X. Wu, T. Kenter, R. Schade, T. Kühne, C. Plessl, in: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173.

Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).

Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions
A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.

IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran
R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.

Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325 (2023).

Finite-data error bounds for Koopman-based prediction and control
F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).

Multi-Objective Optimization for Sparse Deep Neural Network Training
S.S. Hotegni, S. Peitz, M.B. Berkemeier, ArXiv:2308.12243 (2023).

Efficient time stepping for numerical integration using reinforcement  learning
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, SIAM Journal on Scientific Computing 45 (2023) 9–5.

Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs
F.M. Schloots, Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs, Springer Fachmedien Wiesbaden, Wiesbaden, 2023.

ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids
O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, O. Schweins, Journal of Open Source Software 8 (2023).

Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht
L. Höper, C. Schulte, MNU journal 76 (2023) 314–320.

On the impossibility of surviving (iterated) deletion of weakly dominated strategies in rational MPC
J. Blömer, J. Bobolz, H. Bröcher, in: 2023.

A Generic Construction of an Anonymous Reputation System and Instantiations from Lattices
J. Blömer, J. Bobolz, L.A. Porzenheim, in: 2023.

Minimizing Eye Movements and Distractions in Head-Mounted Augmented Reality through Eye-Gaze Adaptiveness
D. Wecker, E. Yigitbas, in: Proceedings of the ACM Symposium on Spatial User Interaction (SUI 2023), ACM, 2023.

GaMoVR: Gamification-Based UML Learning Environment in Virtual Reality
E. Yigitbas, M. Schmidt, A. Bucchiarone, S. Gottschalk, G. Engels, Science of Computer Programming (2023).

Transitional Cross Reality Interfaces for Spatially Demanding Search and Collect Tasks 
L. Schmidt, E. Yigitbas, in: Proceedings of the 27th International Workshop on Personalization and Recommendation, GI DL, 2023.

ABIS 2023 – 27th International Workshop on Personalization and Recommendation
T. Neumayr, E. Yigitbas, M. Augstein, E. Herder, in: Proceedings of the Mensch &; Computer (2023), 2023.

Routing in Hypergraphs
V. Deppe, Routing in Hypergraphs, 2023.

ARIadne – An Explanation Model for Digital Artefacts
F. Winkelnkemper, L. Höper, C. Schulte, Informatics in Education (2023).

Virtual Reality Collaboration Platform for Agile Software Development
E. Yigitbas, I. Witalinski, S. Gottschalk, G. Engels, in: Proceedings of the 24th International Conference on Product-Focused Software Process Improvement (PROFES 2023), Springer, 2023.

Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits
M.C. Wohlleben, L. Muth, S. Peitz, W. Sextro, in: Proceedings in Applied Mathematics and Mechanics, Wiley, 2023.

An Integrative View of the Transformations towards Sustainability and Digitalization: The Case for a Dual Transformation
C. Kürpick, A. Rasor, M. Scholtysik, A. Kühn, C. Koldewey, R. Dumitrescu, Procedia CIRP 119 (2023) 614–619.

Projektmanagement Und Vorgehensmodelle 2023 - Nachhaltige IT-Projekte
A. Kalenborn, M. Fazal-Baqaie, O. Linssen, A. Volland, E. Yigitbas, M. Engstler, M. Bertram, eds., Projektmanagement Und Vorgehensmodelle 2023 - Nachhaltige IT-Projekte, Gesellschaft für Informatik e.V, 2023.

Lessons Learned from the Introduction of Systems Engineering
D. Wilke, R. Grothe, L. Bretz, H. Anacker, R. Dumitrescu, Systems 11 (2023).

Soziotechnische Gestaltung einer intelligenten Personaleinsatzplanung
S. Gabriel, D. Bentler, M. Bansmann, B. Andrew Latos, A. Kühn, R. Dumitrescu, Zeitschrift Für Wirtschaftlichen Fabrikbetrieb 118 (2023) 64–68.

Soziotechnisches Risikomanagement als Erfolgsfaktor für die Digitale Transformation
J.S. Menzefricke, S. Gabriel, T. Gundlach, D. Hobscheidt, C. Kürpick, F. Schnasse, M. Scholtysik, H. Seif, C. Koldewey, R. Dumitrescu, in: Schwerpunkt Business Model Innovation, Springer Fachmedien Wiesbaden, Wiesbaden, 2023.

Partizipatives Gestaltungsvorgehen bei der Einführung künstlicher Intelligenz in produzierenden Unternehmen
D. Bentler, S. Gabriel, B.A. Latos, O. Dietrich, R. Dumitrescu, G.W. Maier, in: GfA-Frühjahrskongress 2023, GfA, Sankt Augustin, 2023.

Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics
J. Weller, D. Roesmann, S. Eggert, S. von Enzberg, I. Gräßler, R. Dumitrescu, Procedia CIRP 119 (2023) 514–520.

Design of individual simulation games in manufacturing companies for game-based learning
F. Machon, S. Gabriel, B. Latos, C. Holtkötter, B. Lütkehoff, L. Asmar, A. Kühn, R. Dumitrescu, Procedia CIRP 119 (2023) 1017–1022.

Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects
J. Brock, S. von Enzberg, A. Kühn, R. Dumitrescu, Procedia CIRP 119 (2023) 602–607.

Targeted-oriented selection of engineering methods
D. Wilke, A. Schierbaum, H. Anacker, R. Dumitrescu, Procedia CIRP 119 (2023) 788–793.

On the Membership and Correctness Problem for State Serializability and Value Opacity
J. König, On the Membership and Correctness Problem for State Serializability and Value Opacity, 2023.

XCS for Self-awareness in Autonomous Computing Systems
T. Hansmeier, XCS for Self-Awareness in Autonomous Computing Systems, 2023.

Improved Hardness Results for the Guided Local Hamiltonian Problem
S. Gharibian, R. Hayakawa, F.L. Gall, T. Morimae, in: Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), 2023, pp. 1–19.

Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering
L. Humpert, M. Wäschle, S. Horstmeyer, H. Anacker, R. Dumitrescu, A. Albers, Procedia CIRP 119 (2023) 693–698.

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2023, pp. 129–139.

Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
R.P. Prager, H. Trautmann, in: J. Correia, S. Smith, R. Qaddoura (Eds.), Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2023, pp. 411–425.

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets
L. Schäpermeier, P. Kerschke, C. Grimme, H. Trautmann, in: M. Emmerich, A. Deutz, H. Wang, A.V. Kononova, B. Naujoks, K. Li, K. Miettinen, I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization, Springer Nature Switzerland, Cham, 2023, pp. 291–304.

Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python
R.P. Prager, H. Trautmann, Evolutionary Computation (2023) 1–25.