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Hasan Tercan
ORCID
Publication Activity (10 Years)
Years Active: 2013-2024
Publications (10 Years): 16
Top Topics
Convolutional Neural Networks
Assembly Line
Quality Prediction
Machine Learning
Top Venues
CoRR
INDIN
J. Intell. Manuf.
SoftwareX
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Publications
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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)