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Anton Schwaighofer

Learning Gaussian processes from multiple tasks
2005 · Kai Yu, Volker Tresp, et al. · International Conference on Machine Learning · 382
Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing
2022 · Benedikt Boecking, Naoto Usuyama, et al. · Lecture notes in computer science · 380
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Probabilistic memory-based collaborative filtering
2004 · Kai Yu, A. Schwaighofer, et al. · IEEE Transactions on Knowledge and Data Engineering · 299
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
2023 · Shruthi Bannur, Stephanie Hyland, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 279
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MAIRA-2: Grounded Radiology Report Generation
2024 · Bannur, Shruthi, Bouzid, Kenza, et al. · arXiv (Cornell University) · 243
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Learning Gaussian Process Kernels via Hierarchical Bayes
2004 · Anton Schwaighofer, Volker Tresp, et al. · 177
Exploring scalable medical image encoders beyond text supervision
2025 · Fernando Pérez-García, Harshita Sharma, et al. · Nature Machine Intelligence · 173
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GPPS: A Gaussian Process Positioning System for Cellular Networks
2003 · Anton Schwaighofer, Marian Grigoraş, et al. · 134
Active label cleaning for improved dataset quality under resource constraints
2022 · Mélanie Bernhardt, Daniel C. Castro, et al. · Nature Communications · 127
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MAIRA-1: A specialised large multimodal model for radiology report generation
2023 · Hyland, Stephanie L., Bannur, Shruthi, et al. · arXiv (Cornell University) · 115
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Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
2024 · Nur Yildirim, Hannah Richardson, et al. · CHI Conference on Human Factors in Computing Systems · 110
Budget Optimization for Sponsored Search: Censored Learning in MDPs
2012 · Amin, Kareem, Kearns, Michael, et al. · arXiv (Cornell University) · 85
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Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers
2020 · Ozan Oktay, Jay Nanavati, et al. · JAMA Network Open · 83
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Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach
2007 · Anton Schwaighofer, Timon Schroeter, et al. · Journal of Chemical Information and Modeling · 80
Transductive and Inductive Methods for Approximate Gaussian Process Regression
2002 · Anton Schwaighofer, Volker Tresp · 75
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
2012 · Yu, Kai, Schwaighofer, Anton, et al. · arXiv (Cornell University) · 72
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Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules
2007 · Timon Sebastian Schroeter, Anton Schwaighofer, et al. · Journal of Computer-Aided Molecular Design · 71
Exploring the Boundaries of GPT-4 in Radiology
2023 · Qianchu Liu, Stephanie Hyland, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 40
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Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules
2007 · Timon Sebastian Schroeter, Anton Schwaighofer, et al. · Journal of Computer-Aided Molecular Design · 40
A Probabilistic Approach to Classifying Metabolic Stability
2008 · Anton Schwaighofer, Timon Schroeter, et al. · Journal of Chemical Information and Modeling · 39
Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
2024 · Kenza Bouzid, Harshita Sharma, et al. · Nature Communications · 35
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Machine Learning Models for Lipophilicity and Their Domain of Applicability
2007 · Timon Schroeter, Anton Schwaighofer, et al. · Molecular Pharmaceutics · 33
How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars
2009 · Anton Schwaighofer, Timon Schroeter, et al. · Combinatorial Chemistry & High Throughput Screening · 31
Predicting Lipophilicity of Drug‐Discovery Molecules using Gaussian Process Models
2007 · Timon S. Schroeter, Anton Schwaighofer, et al. · ChemMedChem · 31
Classification of rheumatoid joint inflammation based on laser imaging
2003 · A. Schwaighofer, V. Tresp, et al. · IEEE Transactions on Biomedical Engineering · 30
Works count: 72
Citation count: 3,394
H-index: 26
I10-index: 35
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