Sebastian Schmitt
Orcid: 0000-0001-7130-5483
According to our database1,
Sebastian Schmitt
authored at least 51 papers
between 2012 and 2024.
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Bibliography
2024
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
2023
Simulation-based inference for model parameterization on analog neuromorphic hardware.
Neuromorph. Comput. Eng., December, 2023
J. Chem. Inf. Model., November, 2023
From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system.
Neuromorph. Comput. Eng., September, 2023
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition.
J. Mach. Learn. Res., 2023
A supervised hybrid quantum machine learning solution to the emergency escape routing problem.
CoRR, 2023
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions.
CoRR, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2022
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times.
Evol. Comput., 2022
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Stream-Based Active Learning with Verification Latency in Non-stationary Environments.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2021
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning.
IEEE Trans. Ind. Informatics, 2021
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Knowl. Based Syst., 2021
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.
CoRR, 2021
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.
CoRR, 2021
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
2020
J. Open Source Softw., 2020
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization.
Inf. Sci., 2020
Appl. Clin. Inform., 2020
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Molecular Simulation Study on the Influence of the Scratching Velocity on Nanoscopic Contact Processes.
Proceedings of the 2nd International Conference of the DFG International Research Training Group 2057, 2020
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Norm Loss: An efficient yet effective regularization method for deep neural networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
CoRR, 2019
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
Proceedings of the Advances in Data Mining, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System.
CoRR, 2017
CoRR, 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Needle Detection in In-Plane-Acquired 3D Ultrasound Image Volumes Using Stick Filtering and a Heuristic.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2015
Needle position estimation from sub-sampled k-space data for MRI-guided interventions.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Passive 3D Needle Tip Tracking in Freehand MR-Guided Interventions with Needle Model Visualization.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
2012
Goal-Snapping: An Empirical Evaluation of Object Snapping in Tangible and Multi-Touch Interfaces.
Proceedings of the ARCS 2012 Workshops, 28. Februar - 2. März 2012, München, Germany, 2012