Subject-Independent Detection of Yes/No Decisions Using EEG Recordings During Motor Imagery Tasks: A Novel Machine-Learning Approach with Fine-Graded EEG Spectrum. - Pascal Penava; Marie-Louise Brozat; Yara Zimmermann; Johannes Breitenbach; Patrick Ulrich; Ricardo Buettner (HICSS, 2023)

A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks. - Pascal Penava; Ricardo Buettner (IEEE Access, 2023)

A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition. - David Richard Tom Hax; Pascal Penava; Samira Krodel; Liliya Razova; Ricardo Buettner (IEEE Access, 2024)

A Novel Deep Learning-Based Approach for Defect Detection of Synthetic Leather Using Gaussian Filtering. - Christopher Mai; Pascal Penava; Ricardo Buettner (IEEE Access, 2024)

Oracle Bone Inscription Character Recognition Based on a Novel Convolutional Neural Network Architecture. - Christopher Mai; Pascal Penava; Ricardo Buettner (IEEE Access, 2024)

Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data. - Pascal Penava; Ricardo Buettner (IEEE Access, 2024)

A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing. - Sara Auweiler; Melina Mueller; Diana Puhla; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

Improvement of Deep Learning Models Using Retinal Filter: A Systematic Evaluation of the Effect of Gaussian Filtering With a Focus on Industrial Inspection Data. - Ricardo Buettner; Christopher Mai; Pascal Penava (IEEE Access, 2025)

Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review. - Luca Eisentraut; Johanna Hosch; Maksym Roytenberg; Amélie Benecke; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens. - Luca Eisentraut; Christopher Mai; Johanna Hosch; Amélie Benecke; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones. - Daniel Heuschmid; Oliver Wacker; Yannick Zimmermann; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data. - Celina Rieck; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data. - Pascal Penava; Ricardo Buettner (Electron. Mark., 2025)