Hasan Tercan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Convolutional Neural Networks

Quality Prediction

Machine Learning

Top Venues

J. Intell. Manuf.

Publications

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 (2024)
Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning. CoRR (2023)
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 (2023)
Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Hasan Tercan, Tobias Meisen
: A Python framework for deep reinforcement learning based scheduling experiments. SoftwareX 22 (2023)
Hasan Tercan, Tobias Meisen
Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. KDD (2023)
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) (2022)
Robert F. Maack, Hasan Tercan, Tobias Meisen
Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows. INDIN (2022)
Hasan Tercan, Tobias Meisen
Machine learning and deep learning based predictive quality in manufacturing: a systematic review. J. Intell. Manuf. 33 (7) (2022)
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)
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)
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)
Robert F. Maack, Hasan Tercan, Alexia Fenollar Solvay, Maximilian Mieth, Tobias Meisen
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks. INDIN (2021)
Hasan Tercan, Alexandro Guajardo, Tobias Meisen
Industrial Transfer Learning: Boosting Machine Learning in Production. INDIN (2019)
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) (2018)
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)
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) (2017)
Melanie Siebenhaar, Olga Wenge, Ronny Hans, Hasan Tercan, Ralf Steinmetz
Verifying the Availability of Cloud Applications. CLOSER (2013)