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2020 – today
- 2024
[c10]Loveneet Saini, Yu Su, Hasan Tercan, Tobias Meisen:
CenterPoint Transformer for BEV Object Detection with Automotive Radar. CVPR Workshops 2024: 4451-4460- [i6]Constantin Waubert de Puiseau, Christian Dörpelkus, Jannik Peters, Hasan Tercan, Tobias Meisen:
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling. CoRR abs/2406.07325 (2024) - [i5]Christian Bohn, Ido Freeman, Hasan Tercan, Tobias Meisen:
Task Weighting through Gradient Projection for Multitask Learning. CoRR abs/2409.01793 (2024) - [i4]Jannik Peters
, Constantin Waubert de Puiseau, Hasan Tercan, Arya Gopikrishnan, Gustavo Adolpho Lucas De Carvalho, Christian Bitter, Tobias Meisen:
A Survey on Emergent Language. CoRR abs/2409.02645 (2024) - [i3]Constantin Waubert de Puiseau, Fabian Wolz, Merlin Montag, Jannik Peters, Hasan Tercan, Tobias Meisen:
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem. CoRR abs/2409.02697 (2024) - 2023
- [b1]Hasan Tercan:
Machine learning-based predictive quality in manufacturing processes. University of Wuppertal, Germany, Shaker Verlag 2023, ISBN 978-3-8440-9200-4, pp. 1-155 - [j5]Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Hasan Tercan, Tobias Meisen:
schlably: A Python framework for deep reinforcement learning based scheduling experiments. SoftwareX 22: 101383 (2023) - [c9]Hasan Tercan, Tobias Meisen:
Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. KDD 2023: 4914-4923 - [i2]Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen:
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning. CoRR abs/2305.10192 (2023) - [i1]Yannik Hahn, Robert F. Maack, Guido Buchholz, Marion Purrio, Matthias Angerhausen, Hasan Tercan, Tobias Meisen:
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes. CoRR abs/2310.12632 (2023) - 2022
- [j4]Hasan Tercan, Philipp Deibert, Tobias Meisen:
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer. J. Intell. Manuf. 33(1): 283-292 (2022) - [j3]Hasan Tercan, Tobias Meisen:
Machine learning and deep learning based predictive quality in manufacturing: a systematic review. J. Intell. Manuf. 33(7): 1879-1905 (2022) - [c8]Robert F. Maack, Hasan Tercan, Tobias Meisen:
Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows. INDIN 2022: 329-334 - 2021
- [c7]Christian Bitter, Hasan Tercan, Tobias Meisen, Todd Bodnar, Philipp Meisen:
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. AI4I 2021: 25-29 - [c6]Miguel Alves Gomes, Hasan Tercan, Todd Bodnar, Philipp Meisen, Tobias Meisen:
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter. HPCC/DSS/SmartCity/DependSys 2021: 1278-1285 - [c5]Hasan Tercan, Christian Bitter, Todd Bodnar, Philipp Meisen, Tobias Meisen:
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. ICEIS (1) 2021: 610-617 - [c4]Robert F. Maack, Hasan Tercan, Alexia Fenollar Solvay, Maximilian Mieth, Tobias Meisen:
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks. INDIN 2021: 1-6
2010 – 2019
- 2019
- [c3]Hasan Tercan, Alexandro Guajardo, Tobias Meisen:
Industrial Transfer Learning: Boosting Machine Learning in Production. INDIN 2019: 274-279 - 2018
- [j2]You Wang, Hasan Tercan, Torsten Hermanns, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz:
Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process. J. ICT Stand. 6(3): 203-216 (2018) - 2017
- [j1]Hasan Tercan, Toufik Al Khawli, Urs Eppelt, Christian Büscher, Tobias Meisen, Sabina Jeschke:
Improving the laser cutting process design by machine learning techniques. Prod. Eng. 11(2): 195-203 (2017) - [c2]You Wang, Hasan Tercan, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz:
Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process. Kaleidoscope 2017: 1-5 - 2013
- [c1]Melanie Siebenhaar, Olga Wenge, Ronny Hans, Hasan Tercan, Ralf Steinmetz:
Verifying the Availability of Cloud Applications. CLOSER 2013: 489-494
Coauthor Index
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last updated on 2024-10-11 18:20 CEST by the dblp team
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