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Papers matching “deep neural network training” 228

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3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
2022 IEEE Intelligent Vehicles Symposium conference-paper Computer Science Advanced Data Compression Techniques Open access

Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, +1 more

11

citations
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
2024 SIAM Journal on Scientific Computing article Computer Science Neural Networks and Applications

Danimir T. Doncevic, Alexander Mitsos, Y. P. Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, +1 more

9

citations
Pixel-level deep-learning segmentation of myoendocardial biopsies network (SOME-Net)
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science AI in cancer detection Open access

0

citations
Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kartikey Ahlawat

0

citations
UCITransNet: A Deep Neural Model with FC-CRFs and Object-Level Data Augmentation for Cell Instance Segmentation
2023 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection

Zequan Liu, Suhong Wang, Zidong Chen, Zhifeng Xiao

1

citations
Decomposing neural networks as mappings of correlation functions
2022 Physical Review Research article Computer Science Neural Networks and Applications Open access

Kirsten Fischer, Alexandre René, Christian Keup, Moritz Layer, David Dahmen, Moritz Helias

12

citations
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems
2022 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification

Xixi Zhang, Haitao Zhao, Hongbo Zhu, Bamidele Adebisi, Guan Gui, Haris Gacanin, +1 more

115

citations
The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA
2023 Algorithms article Computer Science Cryptographic Implementations and Security Open access

Guilherme Perin, Lichao Wu, Stjepan Picek

6

citations
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
2024 International Symposium on Wireless Communication Systems conference-paper Computer Science IoT and Edge/Fog Computing

Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad, Haris Gacanin, Aydin Sezgin

5

citations
Assessing the performance of implicit ensembling of neural networks for proteochemometric modeling with RandomNets
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods

Chiel Jespers, Olivier J. M. Béquignon, Mike Preuß, Gerard J. P. van Westen

0

citations
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
2024 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad, Haris Gacanin, Aydin Sezgin

0

citations
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
2025 arXiv (Cornell University) preprint Computer Science Cryptographic Implementations and Security Open access

Sengim Karayalçın, Marina Krček, Stjepan Picek

0

citations
Digital image processing with deep learning for automated cutting tool wear detection
2020 Procedia Manufacturing article Computer Science Advanced Neural Network Applications Open access cited by 2 patents

Thomas Bergs, Carsten Holst, Pranjul Gupta, Thorsten Augspurger

172

citations
Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients
2021 Sensors article Computer Science Medical Image Segmentation Techniques Open access

Leanne L. G. C. Ackermans, Leroy Volmer, Leonard Wee, Ralph Brecheisen, Patricia Sánchez González, Alexander P. Seiffert, +5 more

53

citations
Technical and clinical validation of a novel deep learning-based white matter hyperintensity segmentation tool
2025 Cerebral Circulation - Cognition and Behavior article Computer Science Medical Image Segmentation Techniques Open access

Benno G. Gesierich, Lukas Pirpamer, Dominik Meier, Michael Amann, Minne N. Cerfontaine, Frank‐Erik de Leeuw, +8 more

7

citations
Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets
2021 preprint Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

2

citations
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets
2022 Computers & Geosciences article Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

30

citations
Wind turbine feature detection using deep learning and synthetic data
2026 conference-paper Computer Science Advanced Neural Network Applications

Arash Shahirpour, Jakob Elias Gebler, Manuel Sanders, Tim Reuscher

0

citations
Convergence rates of deep ReLU networks for multiclass classification
2022 Electronic Journal of Statistics article Computer Science Stochastic Gradient Optimization Techniques Open access

Thijs Bos, Johannes Schmidt-Hieber

21

citations
Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning
2022 IEEE/ACM Transactions on Audio Speech and Language Processing article Computer Science Speech and Audio Processing

Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Märtin, Anke Schmeink

22

citations
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training
2020 conference-paper Computer Science Machine Learning and Data Classification

Philipp Gräbel, Gregor Nickel, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, +3 more

3

citations
Frequency-Independent Ambisonics Upscaling Using Deep Learning
2026 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech and Audio Processing

Egke Chatzimoustafa, Peter Jax

0

citations
Adversarial Examples on Object Recognition: A Comprehensive Survey
2020 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Alex Serban, Erik Poll, Joost Visser

11

citations
Machine learning based 3D object detection for navigation in unstructured environments
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) conference-paper Computer Science Advanced Neural Network Applications

Gjorgji Nikolovski, Michael Reke, Ingo Elsen, Stefan Schiffer

8

citations
Influence of Image Quantization on the Sim-to-Real Gap of Synthetically Trained Deep Learning Models
2026 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Advanced Neural Network Applications

Alexander Moriz, Meike Huber, Robert Heinrich Schmitt

0

citations