| 2021 | ICMLA | Disease Prediction Based on Individual's Medical History Using CNN. | Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung |
| 2018 | ICANN | An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities. | Alexander Gepperth, Ayanava Sarkar, Thomas Kopinski |
| 2017 | IJCNN | A large-scale multi-pose 3D-RGB object database. | Fabian Sachara, Finn Handmann, Nico Cremer, Thomas Kopinski, Alexander Gepperth, Uwe Handmann |
| 2016 | ICANN | A Deep Learning Approach for Hand Posture Recognition from Depth Data. | Thomas Kopinski, Fabian Sachara, Alexander Gepperth, Uwe Handmann |
| 2016 | ICARCV | A time-of-flight-based hand posture database for human-machine interaction. | Thomas Kopinski, Alexander R. T. Gepperth, Uwe Handmann |
| 2016 | Mobiquitous | A Deep Learning Approach to Mid-air Gesture Interaction for Mobile Devices from Time-of-Flight Data. | Thomas Kopinski, Fabian Sachara, Uwe Handmann |
| 2015 | ESANN | A simple technique for improving multi-class classification with neural networks. | Thomas Kopinski, Alexander Gepperth, Uwe Handmann |
| 2015 | IJCNN | A pragmatic approach to multi-class classification. | Thomas Kopinski, Stephane Magand, Uwe Handmann, Alexander Rainer Tassilo Gepperth |
| 2014 | ICANN | Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors. | Thomas Kopinski, Alexander Rainer Tassilo Gepperth, Stefan Geisler, Uwe Handmann |