From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “deep learning training” 980

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Pokémon Red via Reinforcement Learning
2025 IEEE Conference on Games (CoG) conference-paper Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Daniel Addis, David Rubinstein, Fränk Zimmer, Mike Preuß, Peter J. Whidden

8

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Identification of electrical rotational activity in noisy cardiac tissue recordings using a deep neural network
2022 EP Europace article Medicine Cardiac electrophysiology and arrhythmias

Tim De Coster, Nina Kudryashova, Georgy Derevyanko, AAF De Vries, DA Pijnappels, AV Panfilov

2

citations
Automatic Pulmonary Function Estimation From Chest CT Scans Using Deep Regression Neural Networks: The Relation Between Structure and Function in Systemic Sclerosis
2023 IEEE Access article Medicine Radiomics and Machine Learning in Medical Imaging Open access

Jingnan Jia, Emiel R. Marges, Jeska Kirsten De Vries-Bouwstra, Maarten K. Ninaber, Lucia J.M. Kroft, Anne A. Schouffoer, +2 more

6

citations
From subthalamic local field potentials to the selection of chronic deep brain stimulation contacts in Parkinson's disease - A systematic review
2025 Brain stimulation review Medicine Deep Brain Stimulation and Movement Disorders Open access

Marjolein Muller, Mark F.C. van Leeuwen, Carel F. E. Hoffmann, Niels Anthony Van Der Gaag, Rodi Zutt, Saskia van der Gaag, +2 more

6

citations
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
2023 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann

7

citations
Multi-label segmentation of carpal bones in MRI using expansion transfer learning
2025 Physics in Medicine and Biology article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent

Stefan Raith, Matthias Deitermann, Tobias Pankert, Ali Modabber, Frank Hölzle, Frank Hildebrand, +1 more

6

citations
Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis
2026 Nature Communications article Engineering Biosensors and Analytical Detection Open access

Christin Puthur, Betty Nabatte, Carson Paige Moore, Theresia H. Abdoel, René Paulussen, Pafue Christy Nganjimi, +8 more

2

citations
Cautious optimism for deep parameterized quantum circuits
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto, Aroosa Ijaz, Alissa Wilms, Jens Eisert, +2 more

1

citations
Demo: Testing AI-Driven Mac Learning in Autonomic Networks
2024 Proceedings/Proceedings - International Conference on Network Protocols conference-paper Computer Science Wireless Networks and Protocols

Leonard Paeleke, Navid Keshtiarast, Paul Seehofer, Roland Bless, Holger Karl, Marina Petrova, +1 more

1

citations
Demo: Testing AI-driven MAC Learning in Autonomic Networks
2024 arXiv (Cornell University) preprint Computer Science Software-Defined Networks and 5G Open access

Leonard Paeleke, Navid Keshtiarast, Paul Seehofer, Roland Bless, Holger Karl, Marina Petrova, +1 more

0

citations
Data-driven modeling for evaluating deformation of a deep excavation near existing tunnels
2025 Underground Space article Engineering Geotechnical Engineering and Analysis Open access

Fengwen Lai, Songyu Liu, Jim S. Shiau, Mingpeng Liu, Guojun Cai, Ming Yu Huang

41

citations
From subthalamic local field potentials to the selection of chronic deep brain stimulation contacts in Parkinson’s disease - A systematic review
2024 medRxiv preprint Medicine Neurological disorders and treatments Open access

Marjolein Muller, Mark F.C. van Leeuwen, Carel F. E. Hoffmann, Niels Anthony Van Der Gaag, Rodi Zutt, Saskia van der Gaag, +2 more

2

citations
Deep convolutional neural networks for surface coal mines determination from sentinel-2 images
2021 European Journal of Remote Sensing article Engineering Remote-Sensing Image Classification Open access

Logambal Madhuanand, Pankaj Sadavarte, Antoon J. H. Visschedijk, Hugo Denier van der Gon, Ilse Aben, Frank Osei

32

citations
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more

19

citations
Deep data compression for approximate ultrasonic image formation
2020 Utrecht University Repository (Utrecht University) book Computer Science Advanced Data Compression Techniques Open access

Georgios Pilikos, Lars Hörchens, K.J. Batenburg, T. van Leeuwen, Felix Lucka, Mathematical Modeling, +1 more

9

citations
Enhancing D-Band FMCW Radar Tracking for In-Air Writing Through Weakly Supervised Deep Association
2026 IEEE Transactions on Radar Systems article Engineering Radar Systems and Signal Processing Open access

Salah Abouzaid, Leander Nothelle, Nils Pohl

0

citations
A machine-learning-based tool for open cluster membership determination in Gaia DR3
2023 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access

M. G. J. van Groeningen, A. Castro-Ginard, A. G. A. Brown, L. Casamiquela, C. Jordi

31

citations
Exploration of the UMAP Algorithm for Assessment of Similarity between Synthetic and Real-world Image Datasets
2025 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Alexander Moriz, Gabriel Ochoa de Zabalegui Apraiz, Dominik Wolfschläger, Amon Göppert, Robert Heinrich Schmitt

1

citations
Toward Robust Quantitative Photoacoustic Tomography via Learned Iterative Methods
2026 IEEE Transactions on Computational Imaging article Engineering Photoacoustic and Ultrasonic Imaging Open access

Janek Gröhl, Felix F. Lucka, Andreas Hauptmann

2

citations
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
2022 Computing and Software for Big Science article Computer Science Adversarial Robustness in Machine Learning Open access

Annika Stein, Xavier Coubez, S. Mondal, Andrzej Novak, Alexander SCHMIDT

6

citations
Adaptive Indoor Area Localization for Perpetual Crowdsourced Data Collection
2020 Sensors article Engineering Indoor and Outdoor Localization Technologies Open access

Marius Laska, Jörg Blankenbach, Ralf Klamma

14

citations
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning
2025 Machine Learning article Computer Science Time Series Analysis and Forecasting Open access

Wadie Skaf, Mitra Baratchi, Holger H. Hoos

1

citations
Meta-learning spiking neural networks with surrogate gradient descent
2022 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Kenneth Michael Stewart, Emre Neftci

38

citations
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
2022 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Emre Neftci

2

citations