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1. Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks

2. A Preliminary Study to Examining Per-class Performance Bias via Robustness Distributions

3. Implementation Patterns for Zone Architectures in Enterprise-Grade Data Lakes

9. Hyper-parameter Optimization for Latent Spaces

10. Efficient Local Search for Pseudo Boolean Optimization

11. Semi-supervised Co-ensembling for AutoML

12. Next Big Challenges in Core AI Technology

19. PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation

20. Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling

21. Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification

24. Modeling Data Lakes with Data Vault: Practical Experiences, Assessment, and Lessons Learned

25. Leveraging the Data Lake: Current State and Challenges

26. Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling

29. Algorithm Configuration Landscapes : More Benign Than Expected?

30. Portfolio-Based Algorithm Selection for Circuit QBFs

31. LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization

35. The Stuttgart IT Architecture for Manufacturing : An Architecture for the Data-Driven Factory

37. An Experimental Study of Adaptive Capping in irace

38. Context-Aware Decision Information Packages: An Approach to Human-Centric Smart Factories

39. Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation

41. MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework

42. The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers

43. Quantifying the Similarity of Algorithm Configurations

44. Solving Multi-codebook Quantization in the GPU

45. Revisiting Additive Quantization

46. ValueApping: An Analysis Method to Identify Value-Adding Mobile Enterprise Apps in Business Processes

47. Programming by Optimisation Meets Parameterised Algorithmics: A Case Study for Cluster Editing

48. Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection

49. From Sequential Algorithm Selection to Parallel Portfolio Selection

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