Anton Schwaighofer

Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers

Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori

JAMA | November 2020

Publication Video Github Project

Budget Optimization for Sponsored Search:Censored Learning in MDPs

Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer

Uncertainty in Artificial Intelligence (UAI) | August 2012

Publication

Scalable Clustering and Keyword Suggestion for Online Advertisements

Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich

Proceedings of ADKDD 2009: 3rd Annual International Workshop on Data Mining and Audience Intelligence for Advertising | January 2009

Publication

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach

Anton Schwaighofer

Journal of Chemical Information and Modelling | January 2007, Vol 47(2): pp. 407-424

Publication Publication

Estimating the Domain of Applicability for Machine Learning QSAR RModels: A Study on Aqueous Solubility of Drug Discovery Molecules

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

Journal of Computer Aided Molecular Design | January 2007

Publication

Gaussian Processes in Practice

Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela

January 2007

(Editors)

Publication

Machine Learning Models for Lipophilicity and their Domain of Applicability

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

Molecular Pharmaceutics | January 2007, Vol 4: pp. 524-538

Publication

Predicting Lipophilicity of Drug Discovery Molecules using Gaussian Process Models

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

ChemMedChem | January 2007, Vol 2: pp. 1265-1267

Publication

Structure Learning with Nonparametric Decomposable Models

Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter

Artificial Neural Networks - ICANN 2007 | January 2007

Publication

Learning Gaussian Process Kernels via Hierarchical Bayes

Anton Schwaighofer, Volker Tresp, Kai Yu

Advances in Neural Information Processing Systems 17 | January 2005

Advances in Neural Information Processing Systems 17

Publication

Learning Gaussian Processes from Multiple Tasks

Kai Yu, Volker Tresp, Anton Schwaighofer

Machine Learning: Proceedings of the 22nd International Conference (ICML 2005) | January 2005

Publication

GPPS: A Gaussian Process Positioning System for Cellular Networks

Anton Schwaighofer, Marian Grigoraş, Volker Tresp, Clemens Hoffmann

Advances in Neural Information Processing Systems 16 | January 2004

Publication

Mining Functional Modules in Genetic Networks with Decomposable Graphical Models

Mathäus Dejori, Anton Schwaighofer, Volker Tresp, Martin Stetter

OMICS A Journal of Integrative Biology | January 2004, Vol 8: pp. 176-188

Publication

Probabilistic Memory Based Collaborative Filtering: Learning Individual and Social Preferences

Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel

IEEE Transactions on Knowledge and Data Engineering | January 2004, Vol 16: pp. 56-69

Publication

Classification of Rheumatoid Joint Inflammation Based on Laser Imaging

Anton Schwaighofer, Volker Tresp, Peter Mayer, Andreas Krause, Jürgen Beuthan, Helmut Rost, Gerhard Metzger, Gerhard A. Müller, Alexander K. Scheel

IEEE Transactions on Biomedical Engineering | January 2003, Vol 50: pp. 375-382

Publication

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang, Hong-Jiang Zhang

Uncertainty in Artificial Intelligence: Proceedings of the 19th Conference (UAI-2003) | January 2003

Publication

The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging

Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller

Advances in Neural Information Processing Systems 15 | January 2003

Advances in Neural Information Processing Systems 15

Publication

Transductive and Inductive Methods for Approximate Gaussian Process Regression

Anton Schwaighofer, Volker Tresp

Advances in Neural Information Processing Systems 15 | January 2003

Publication

Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers

Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori

JAMA | November 2020

Publication Video Github Project

Budget Optimization for Sponsored Search:Censored Learning in MDPs

Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer

Uncertainty in Artificial Intelligence (UAI) | August 2012

Publication

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach

Anton Schwaighofer

Journal of Chemical Information and Modelling | January 2007, Vol 47(2): pp. 407-424

Publication Publication

Estimating the Domain of Applicability for Machine Learning QSAR RModels: A Study on Aqueous Solubility of Drug Discovery Molecules

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

Journal of Computer Aided Molecular Design | January 2007

Publication

Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers

Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori

JAMA | November 2020

Publication Video Github Project

Predicting Lipophilicity of Drug Discovery Molecules using Gaussian Process Models

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

ChemMedChem | January 2007, Vol 2: pp. 1265-1267

Publication

Machine Learning Models for Lipophilicity and their Domain of Applicability

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

Molecular Pharmaceutics | January 2007, Vol 4: pp. 524-538

Publication

Classification of Rheumatoid Joint Inflammation Based on Laser Imaging

Anton Schwaighofer, Volker Tresp, Peter Mayer, Andreas Krause, Jürgen Beuthan, Helmut Rost, Gerhard Metzger, Gerhard A. Müller, Alexander K. Scheel

IEEE Transactions on Biomedical Engineering | January 2003, Vol 50: pp. 375-382

Publication

Budget Optimization for Sponsored Search:Censored Learning in MDPs

Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer

Uncertainty in Artificial Intelligence (UAI) | August 2012

Publication

Scalable Clustering and Keyword Suggestion for Online Advertisements

Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich

Proceedings of ADKDD 2009: 3rd Annual International Workshop on Data Mining and Audience Intelligence for Advertising | January 2009

Publication

Gaussian Processes in Practice

Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela

January 2007

(Editors)

Publication

Structure Learning with Nonparametric Decomposable Models

Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter

Artificial Neural Networks - ICANN 2007 | January 2007

Publication

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach

Anton Schwaighofer

Journal of Chemical Information and Modelling | January 2007, Vol 47(2): pp. 407-424

Publication Publication

Learning Gaussian Process Kernels via Hierarchical Bayes

Anton Schwaighofer, Volker Tresp, Kai Yu

Advances in Neural Information Processing Systems 17 | January 2005

Advances in Neural Information Processing Systems 17

Publication

Learning Gaussian Processes from Multiple Tasks

Kai Yu, Volker Tresp, Anton Schwaighofer

Machine Learning: Proceedings of the 22nd International Conference (ICML 2005) | January 2005

Publication

GPPS: A Gaussian Process Positioning System for Cellular Networks

Anton Schwaighofer, Marian Grigoraş, Volker Tresp, Clemens Hoffmann

Advances in Neural Information Processing Systems 16 | January 2004

Publication

Probabilistic Memory Based Collaborative Filtering: Learning Individual and Social Preferences

Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel

IEEE Transactions on Knowledge and Data Engineering | January 2004, Vol 16: pp. 56-69

Publication

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang, Hong-Jiang Zhang

Uncertainty in Artificial Intelligence: Proceedings of the 19th Conference (UAI-2003) | January 2003

Publication

Mining Functional Modules in Genetic Networks with Decomposable Graphical Models

Mathäus Dejori, Anton Schwaighofer, Volker Tresp, Martin Stetter

OMICS A Journal of Integrative Biology | January 2004, Vol 8: pp. 176-188

Publication

Transductive and Inductive Methods for Approximate Gaussian Process Regression

Anton Schwaighofer, Volker Tresp

Advances in Neural Information Processing Systems 15 | January 2003

Publication

The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging

Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller

Advances in Neural Information Processing Systems 15 | January 2003

Advances in Neural Information Processing Systems 15

Publication

Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers

Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori

JAMA | November 2020

Publication Video Github Project

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach

Anton Schwaighofer

Journal of Chemical Information and Modelling | January 2007, Vol 47(2): pp. 407-424

Publication Publication

Predicting Lipophilicity of Drug Discovery Molecules using Gaussian Process Models

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

ChemMedChem | January 2007, Vol 2: pp. 1265-1267

Publication

Estimating the Domain of Applicability for Machine Learning QSAR RModels: A Study on Aqueous Solubility of Drug Discovery Molecules

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

Journal of Computer Aided Molecular Design | January 2007

Publication

Machine Learning Models for Lipophilicity and their Domain of Applicability

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

Molecular Pharmaceutics | January 2007, Vol 4: pp. 524-538

Publication

Probabilistic Memory Based Collaborative Filtering: Learning Individual and Social Preferences

Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel

IEEE Transactions on Knowledge and Data Engineering | January 2004, Vol 16: pp. 56-69

Publication

Mining Functional Modules in Genetic Networks with Decomposable Graphical Models

Mathäus Dejori, Anton Schwaighofer, Volker Tresp, Martin Stetter

OMICS A Journal of Integrative Biology | January 2004, Vol 8: pp. 176-188

Publication

Classification of Rheumatoid Joint Inflammation Based on Laser Imaging

Anton Schwaighofer, Volker Tresp, Peter Mayer, Andreas Krause, Jürgen Beuthan, Helmut Rost, Gerhard Metzger, Gerhard A. Müller, Alexander K. Scheel

IEEE Transactions on Biomedical Engineering | January 2003, Vol 50: pp. 375-382

Publication

Budget Optimization for Sponsored Search:Censored Learning in MDPs

Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer

Uncertainty in Artificial Intelligence (UAI) | August 2012

Publication

Scalable Clustering and Keyword Suggestion for Online Advertisements

Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich

Proceedings of ADKDD 2009: 3rd Annual International Workshop on Data Mining and Audience Intelligence for Advertising | January 2009

Publication

Gaussian Processes in Practice

Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela

January 2007

(Editors)

Publication

Structure Learning with Nonparametric Decomposable Models

Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter

Artificial Neural Networks - ICANN 2007 | January 2007

Publication

Learning Gaussian Process Kernels via Hierarchical Bayes

Anton Schwaighofer, Volker Tresp, Kai Yu

Advances in Neural Information Processing Systems 17 | January 2005

Advances in Neural Information Processing Systems 17

Publication

Learning Gaussian Processes from Multiple Tasks

Kai Yu, Volker Tresp, Anton Schwaighofer

Machine Learning: Proceedings of the 22nd International Conference (ICML 2005) | January 2005

Publication

GPPS: A Gaussian Process Positioning System for Cellular Networks

Anton Schwaighofer, Marian Grigoraş, Volker Tresp, Clemens Hoffmann

Advances in Neural Information Processing Systems 16 | January 2004

Publication

Transductive and Inductive Methods for Approximate Gaussian Process Regression

Anton Schwaighofer, Volker Tresp

Advances in Neural Information Processing Systems 15 | January 2003

Publication

The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging

Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller

Advances in Neural Information Processing Systems 15 | January 2003

Advances in Neural Information Processing Systems 15

Publication

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang, Hong-Jiang Zhang

Uncertainty in Artificial Intelligence: Proceedings of the 19th Conference (UAI-2003) | January 2003

Publication