Verifying the Availability of Cloud Applications. - Melanie Siebenhaar; Olga Wenge; Ronny Hans; Hasan Tercan; Ralf Steinmetz (CLOSER, 2013)

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 001 (Kaleidoscope, 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)

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 001 (J. ICT Stand., 2018)

Industrial Transfer Learning: Boosting Machine Learning in Production. - Hasan Tercan; Alexandro Guajardo; Tobias Meisen (INDIN, 2019)

When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. - Christian Bitter; Hasan Tercan; Tobias Meisen; Todd Bodnar; Philipp Meisen (AI4I, 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 (HPCC/DSS/SmartCity/DependSys, 2021)

Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. - Hasan Tercan; Christian Bitter; Todd Bodnar; Philipp Meisen; Tobias Meisen (ICEIS (1), 2021)

Fault Detection in Railway Switches using Deformable Convolutional Neural Networks. - Robert F. Maack; Hasan Tercan; Alexia Fenollar Solvay; Maximilian Mieth; Tobias Meisen (INDIN, 2021)

Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows. - Robert F. Maack; Hasan Tercan; Tobias Meisen (INDIN, 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)

Machine learning and deep learning based predictive quality in manufacturing: a systematic review. - Hasan Tercan; Tobias Meisen (J. Intell. Manuf., 2022)

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. - Hasan Tercan; Tobias Meisen (KDD, 2023)

Curriculum Learning in Job Shop Scheduling using Reinforcement Learning. - Constantin Waubert de Puiseau; Hasan Tercan; Tobias Meisen (CoRR, 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)

Machine learning-based predictive quality in manufacturing processes. - Hasan Tercan (Shaker Verlag, 2023)

schlably: A Python framework for deep reinforcement learning based scheduling experiments. - Constantin Waubert de Puiseau; Jannik Peters 002; Christian Dörpelkus; Hasan Tercan; Tobias Meisen (SoftwareX, 2023)

HRSTA: A Pipeline for Reference-Based High-Resolution Skin Tone Adjustment. - Boqi Wu; Ulrich Jung; Hasan Tercan (AICCC, 2024)

Quality Prediction in Arc Welding: Leveraging Transformer Models and Discrete Representations from Vector Quantised-VAE. - Yannik Hahn; Robert F. Maack; Hasan Tercan; Tobias Meisen; Marion Purrio; Guido Buchholz; Matthias Angerhausen (CIKM, 2024)

CenterPoint Transformer for BEV Object Detection with Automotive Radar. - Loveneet Saini; Yu Su; Hasan Tercan; Tobias Meisen (CVPR Workshops, 2024)

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling. - Constantin Waubert de Puiseau; Christian Dörpelkus; Jannik Peters 002; Hasan Tercan; Tobias Meisen (CoRR, 2024)

Task Weighting through Gradient Projection for Multitask Learning. - Christian Bohn; Ido Freeman; Hasan Tercan; Tobias Meisen (CoRR, 2024)

A Survey on Emergent Language. - Jannik Peters 002; Constantin Waubert de Puiseau; Hasan Tercan; Arya Gopikrishnan; Gustavo Adolpho Lucas de Carvalho; Christian Bitter; Tobias Meisen (CoRR, 2024)

Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem. - Constantin Waubert de Puiseau; Fabian Wolz; Merlin Montag; Jannik Peters 002; Hasan Tercan; Tobias Meisen (CoRR, 2024)

AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection. - Loveneet Saini; Mirko Meuter; Hasan Tercan; Tobias Meisen (CVPR Workshops, 2025)

PCAD: A Real-World Dataset for 6D Pose Industrial Anomaly Detection. - Robert F. Maack; Lars Thun; Thomas Liang; Hasan Tercan; Tobias Meisen (WACV (Workshops), 2025)

Emergent language: a survey and taxonomy. - Jannik Peters 002; Constantin Waubert de Puiseau; Hasan Tercan; Arya Gopikrishnan; Gustavo Adolpho Lucas de Carvalho; Christian Bitter; Tobias Meisen (Auton. Agents Multi Agent Syst., 2025)

Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations. - Nils Hütten; Florian Hölken; Hasan Tercan; Tobias Meisen (CoRR, 2025)

Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR. - Adwait Chandorkar; Hasan Tercan; Tobias Meisen (CoRR, 2025)

Efficient Inter-Task Attention for Multitask Transformer Models. - Christian Bohn; Thomas Kurbiel; Klaus Friedrichs; Hasan Tercan; Tobias Meisen (CoRR, 2025)