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Papers matching “learning needs” 356

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Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications
2026 The European Physical Journal C article Computer Science Adversarial Robustness in Machine Learning Open access

P. Bechtle, Lucie Flek, A. Jung, Akbar Karimi, Timo Saala, Alexander Schmidt, +4 more

0

citations
Basics of machine learning
2025 Cambridge University Press eBooks book-chapter Computer Science Machine Learning and Algorithms

Borja Requena, Kaelan Donatella, Juan Carrasquilla, Evert van Nieuwenburg, Giuseppe Carleo, Eliška Greplová, +2 more

0

citations
xAPI Made Easy: A Learning Analytics Infrastructure for Interdisciplinary Projects
2022 International Journal of Online and Biomedical Engineering (iJOE) article Computer Science Online Learning and Analytics Open access

Birte Heinemann, Matthias Ehlenz, Sergej Görzen, Ulrik Schroeder

7

citations
Learning density functionals from noisy quantum data
2025 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Emiel Koridon, Felix Frohnert, Eric Prehn, Evert van Nieuwenburg, Jordi Tura, Stefano Polla

2

citations
Reinforcement Learning-Based Control of a Hydraulic Press With Multiple Actuators
2023 ASME/BATH Symposium on Fluid Power and Motion Control (FPMC) conference-paper Computer Science Reinforcement Learning in Robotics

Faried Makansi, Jingkai Huang, Katharina Schmitz

2

citations
Virtual reality and collaborative learning: a systematic literature review
2023 Frontiers in Virtual Reality review Computer Science Virtual Reality Applications and Impacts Open access

Nesse van der Meer, Vivian van der Werf, Willem‐Paul Brinkman, Marcus M. Specht

142

citations
Over-the-Air Federated Learning Client Selection in Integrated Sensing, Computing and Communication
2024 IEEE International Conference on Communications workshops conference-paper Computer Science Privacy-Preserving Technologies in Data

Paul Zheng, Yao Pan Zhu, Anke Schmeink

2

citations
Quantum machine learning beyond kernel methods
2023 Nature Communications article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 2 patents

Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko

228

citations
In-context learning enables multimodal large language models to classify cancer pathology images
2024 Nature Communications article Computer Science AI in cancer detection Open access

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

156

citations
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
Time to reality check the promises of machine learning-powered precision medicine
2020 The Lancet Digital Health article Computer Science Machine Learning in Healthcare Open access

Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray, Maarten van Smeden, Kareem Carr, Rachel J. Sippy, +6 more

250

citations
Towards verifiable Benchmarks for Reinforcement Learning
2022 IEEE Conference on Games (CoG) conference-paper Computer Science Reinforcement Learning in Robotics

Matthias Müller-Brockhausen, Aske Plaat, Mike Preuß

3

citations
Reliable validation of Reinforcement Learning Benchmarks
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Matthias Müller-Brockhausen, Aske Plaat, Mike Preuß

0

citations
Auto deep learning for bioacoustic signals
2023 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Giulio Tosato, Joshua Luke Janssen, Kees Kamp, Pramatya Jati, Dan Stowell

0

citations
Improving unsupervised stain-to-stain translation using self-supervision and meta-learning
2022 Journal of Pathology Informatics article Computer Science AI in cancer detection Open access

Nassim Bouteldja, Barbara M. Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof

31

citations
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
2021 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Nassim Bouteldja, Barbara M. Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof

2

citations
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Gaussian Processes and Bayesian Inference

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

citations
Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: A systematic literature review
2021 ImmunoInformatics review Computer Science AI in cancer detection Open access

Amelie Echle, Narmin Ghaffari Laleh, Peter L. Schrammen, Nicholas Paul West, Christian Trautwein, Titus Josef Brinker, +6 more

47

citations
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
2023 Breast Cancer Research article Computer Science AI in cancer detection Open access

Witali Aswolinskiy, Enrico Munari, Hugo M. Horlings, Lennart Mulder, Giuseppe Salvatore Bogina, Joyce Sanders, +10 more

38

citations
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
2020 Frontiers in Psychology article Computer Science Gaussian Processes and Bayesian Inference Open access

Julian David Karch, Andreas M. Brandmaier, Manuel C. Voelkle

19

citations
Does self-paced learning in mobile flood protection unit construction in virtual reality have advantages over traditional measures?
2024 Frontiers in Virtual Reality article Computer Science Virtual Reality Applications and Impacts Open access

Patrick Querl, Raymond Leonardo Chandra, Djamel Berkaoui, Koen Castermans, Heribert Nacken

2

citations
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems
2023 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Moncef Benaicha, David Thulke, Mehmet Turan

1

citations
Stain-Independent Segmentation and Quantification of Kidney Histopathology Using Deep Learning
2022 Journal of the American Society of Nephrology conference-abstract Computer Science AI in cancer detection

Peter Boor, David Laurin Hölscher, Barbara M. Klinkhammer, Roman David Bülow, Johannes Lotz, Nick Weiss, +3 more

0

citations
Future Directions in the Theory of Graph Machine Learning
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, +3 more

0

citations
Supervised Contrastive Learning for RFF Identification With Limited Samples
2023 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification Open access

Yang Peng, Changbo Hou, Yibin Zhang, Yun Lin, Guan Gui, Haris Gacanin, +2 more

70

citations