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Papers matching “deep learning training data” 260

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In-context learning enables multimodal large language models to classify cancer pathology images
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, +5 more

1

citations
Multi-Task Semi-Supervised Learning For Pulmonary Lobe Segmentation
2021 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques

Jingnan Jia, Zhiwei Zhai, Irene Hernandez Giron, Marius Staring, Berend C. Stoel

5

citations
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
2021 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Jingnan Jia, Irene Hernandez Giron, Marius Staring, Berend C. Stoel

0

citations
AI, citizen science data and expert opinions: towards an improved fossil identification process
2026 PeerJ Computer Science article Computer Science Advanced Neural Network Applications Open access

Isaak Eijkelboom, Laurens Hogeweg, Django Brunink, Menno Jansen, Hansjorg Ahrens, Charlie Schouwenburg, +6 more

0

citations
Understanding transfer learning and gradient-based meta-learning techniques
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 1 patent

Mike Huisman, Aske Plaat, Jan N. van Rijn

12

citations
A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Elouan Colybes, Shirin Salehi, Anke Schmeink

0

citations
Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems
2020 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Wireless Signal Modulation Classification

Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Hikmet Sari, Fumiyuki Adachi

115

citations
Reinforcement Learning Approaches for the Optimization of the Partial Oxidation Reaction of Methane
2022 Industrial & Engineering Chemistry Research article Computer Science Reinforcement Learning in Robotics

Marius Neumann, Stefan Palkovits

22

citations
A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices
2022 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification

Biao Dong, Yuchao Liu, Guan Gui, Xue Gang Fu, Heng Dong, Bamidele Adebisi, +2 more

52

citations
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
2023 medRxiv preprint Computer Science AI in cancer detection Open access

Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more

12

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
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

5

citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

0

citations
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
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning
2021 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access cited by 2 patents

Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman

13

citations
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
2021 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Advanced Neural Network Applications cited by 1 patent

Dan Ping Jia, Mats Steinweg, Alexander Hermans, Bastian Leibe

14

citations
Large-scale modelling of sparse kinase activitydata
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Sohvi Luukkonen, Erik Meijer, Giovanni A. Tricarico, Johan Hofmans, Pieter F. W. Stouten, Gerard J. P. van Westen, +1 more

0

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
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data
2023 Artificial Intelligence in Medicine article Computer Science AI in cancer detection Open access

Silviu Tudor Marc, Xiaohong W. Gao, Heba Sailem, Judith Offman, Emmanouíl Karteris, Angeles Montero Fernandez, +6 more

8

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
Global birdsong embeddings enable superior transfer learning for bioacoustic classification
2023 Scientific Reports article Computer Science Music and Audio Processing Open access

Burooj Ghani, Stefan Kahl, Holger Klinck

165

citations
Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings
2024 Frontiers in Remote Sensing article Computer Science Music and Audio Processing Open access

Clea Parcerisas, Elena Schall, Kees te Velde, Dick B. Botteldooren, Paul Devos, Elisabeth Debusschere

19

citations
ViT-Enhanced Prompts: Integrating Pre-Trained Knowledge for Robust Continuous Learning
2025 International Conference on Multimedia Retrieval conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Guoqiang Xiao, Michael S. Lew, Song Wu

2

citations
Torus embeddings
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Dan Stowell

0

citations