Hasan Tercan

According to our database, Hasan Tercan authored at least 17 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

<i>schlably</i>: A Python framework for deep reinforcement learning based scheduling experiments.

Constantin Waubert de Puiseau, Jannik Peters, Christian Dörpelkus, Hasan Tercan, Tobias Meisen

SoftwareX, May, 2023

Machine learning-based predictive quality in manufacturing processes.

Hasan Tercan

PhD thesis, 2023

Towards a Deep Learning-based Online Quality Prediction System for Welding Processes.

Yannik Hahn, Robert F. Maack, Guido Buchholz, Marion Purrio, Matthias Angerhausen, Hasan Tercan, Tobias Meisen

CoRR, 2023

Curriculum Learning in Job Shop Scheduling using Reinforcement Learning.

Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen

CoRR, 2023

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning.

Hasan Tercan, Tobias Meisen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Machine learning and deep learning based predictive quality in manufacturing: a systematic review.

Hasan Tercan, Tobias Meisen

J. Intell. Manuf., 2022

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer.

Hasan Tercan, Philipp Deibert, Tobias Meisen

J. Intell. Manuf., 2022

Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows.

Robert F. Maack, Hasan Tercan, Tobias Meisen

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021

Fault Detection in Railway Switches using Deformable Convolutional Neural Networks.

Robert F. Maack, Hasan Tercan, Alexia Fenollar Solvay, Maximilian Mieth, Tobias Meisen

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application.

Hasan Tercan, Christian Bitter, Todd Bodnar, Philipp Meisen, Tobias Meisen

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter.

Miguel Alves Gomes, Hasan Tercan, Todd Bodnar, Philipp Meisen, Tobias Meisen

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails.

Christian Bitter, Hasan Tercan, Tobias Meisen, Todd Bodnar, Philipp Meisen

Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2019

Industrial Transfer Learning: Boosting Machine Learning in Production.

Hasan Tercan, Alexandro Guajardo, Tobias Meisen

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018

Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process.

You Wang, Hasan Tercan, Torsten Hermanns, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz

J. ICT Stand., 2018

2017

Improving the laser cutting process design by machine learning techniques.

Hasan Tercan, Toufik Al Khawli, Urs Eppelt, Christian Büscher, Tobias Meisen, Sabina Jeschke

Prod. Eng., 2017

Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process.

You Wang, Hasan Tercan, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz

Proceedings of the 2017 ITU Kaleidoscope: Challenges for a Data-Driven Society, 2017

2013

Verifying the Availability of Cloud Applications.

Melanie Siebenhaar, Olga Wenge, Ronny Hans, Hasan Tercan, Ralf Steinmetz

Proceedings of the CLOSER 2013, 2013