Volker Tresp

According to our database1, Volker Tresp
  • authored at least 156 papers between 1990 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
Adaptive Knowledge Propagation in Web Ontologies.
TWEB, 2018

Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152).
Dagstuhl Manifestos, 2018

Improving Information Extraction from Images with Learned Semantic Models.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Tensor Decompositions for Modeling Inverse Dynamics.
CoRR, 2017

Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks.
CoRR, 2017

The Tensor Memory Hypothesis.
CoRR, 2017

Tensor-Train Recurrent Neural Networks for Video Classification.
CoRR, 2017

Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions.
Proceedings of the Semantic Web - ISWC 2017, 2017

Learning with Knowledge Graphs.
Proceedings of the Twelfth International Workshop on Neural-Symbolic Learning and Reasoning, 2017

Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models.
Proceedings of the Machine Learning for Health Care, 2017

Tensor-Train Recurrent Neural Networks for Video Classification.
Proceedings of the 34th International Conference on Machine Learning, 2017

Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Embedding Learning for Declarative Memories.
Proceedings of the Semantic Web - 14th International Conference, 2017

2016
Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare.
Proceedings of the IEEE, 2016

A Review of Relational Machine Learning for Knowledge Graphs.
Proceedings of the IEEE, 2016

Big Data: Practical Applications [Scanning the Issue].
Proceedings of the IEEE, 2016

Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies.
J. Data Semantics, 2016

The Clinical Data Intelligence Project - A smart data initiative.
Informatik Spektrum, 2016

Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152).
Dagstuhl Reports, 2016

Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding.
CoRR, 2016

Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare.
CoRR, 2016

Relational Models.
CoRR, 2016

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks.
CoRR, 2016

Learning representations for discrete sensor networks using tensor decompositions.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Predicting the co-evolution of event and Knowledge Graphs.
Proceedings of the 19th International Conference on Information Fusion, 2016

Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling.
Proceedings of the Semantic Web. Latest Advances and New Domains, 2016

2015
Exploiting Latent Embeddings of Nominal Clinical Data for Predicting Hospital Readmission.
KI, 2015

Learning with Memory Embeddings.
CoRR, 2015

A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction.
CoRR, 2015

Type-Constrained Representation Learning in Knowledge Graphs.
CoRR, 2015

Predicting the Co-Evolution of Event and Knowledge Graphs.
CoRR, 2015

Type-Constrained Representation Learning in Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2015, 2015

Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams.
Proceedings of the Advances in Data Mining: Applications and Theoretical Aspects, 2015

Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014
Querying the Web with Statistical Machine Learning.
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014

Core Technologies for the Internet of Services.
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014

Relational Models.
Encyclopedia of Social Network Analysis and Mining, 2014

A scalable approach for statistical learning in semantic graphs.
Semantic Web, 2014

Reality mining on micropost streams - Deductive and inductive reasoning for personalized and location-based recommendations.
Semantic Web, 2014

Learning to Propagate Knowledge in Web Ontologies.
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Querying Factorized Probabilistic Triple Databases.
Proceedings of the Semantic Web - ISWC 2014, 2014

Probabilistic Latent-Factor Database Models.
Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), 2014

Reducing the Rank in Relational Factorization Models by Including Observable Patterns.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Large-scale factorization of type-constrained multi-relational data.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Mixture Approximations to Bayesian Networks
CoRR, 2013

Towards a New Science of a Clinical Data Intelligence.
CoRR, 2013

Logistic Tensor Factorization for Multi-Relational Data.
CoRR, 2013

Tensor Factorization for Multi-relational Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

An Analysis of Tensor Models for Learning on Structured Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Location-Based Mobile Recommendations by Hybrid Reasoning on Social Media Streams.
Proceedings of the Semantic Technology - Third Joint International Conference, 2013

2012
BOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streams.
J. Web Sem., 2012

Context-aware tensor decomposition for relation prediction in social networks.
Social Netw. Analys. Mining, 2012

Mining the Semantic Web - Statistical learning for next generation knowledge bases.
Data Min. Knowl. Discov., 2012

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
CoRR, 2012

Infinite Hidden Relational Models.
CoRR, 2012

Deep answers for naturally asked questions on the web of data.
Proceedings of the 21st World Wide Web Conference, 2012

Factorizing YAGO: scalable machine learning for linked data.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Link Prediction in Multi-relational Graphs using Additive Models.
Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data, 2012

Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction.
Proceedings of the Semantic Web: Research and Applications, 2012

Natural Language Questions for the Web of Data.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Statistical relational learning of trust.
Machine Learning, 2011

Semantic Traffic-Aware Routing Using the LarKC Platform.
IEEE Internet Computing, 2011

Making Sense of Location-based Micro-posts Using Stream Reasoning.
Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages, 2011

A Three-Way Model for Collective Learning on Multi-Relational Data.
Proceedings of the 28th International Conference on Machine Learning, 2011

Graphical Models for Relations - Modeling Relational Context.
Proceedings of the KDIR 2011, 2011

A Novel Metric for Information Retrieval in Semantic Networks.
Proceedings of the Semantic Web: ESWC 2011 Workshops, 2011

Towards BOTTARI: Using Stream Reasoning to Make Sense of Location-Based Micro-posts.
Proceedings of the Semantic Web: ESWC 2011 Workshops, 2011

Modeling and Learning Context-Aware Recommendation Scenarios Using Tensor Decomposition.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics.
IEEE Intelligent Systems, 2010

Multivariate Prediction for Learning on the Semantic Web.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Digging for knowledge with information extraction: a case study on human gene-disease associations.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Statistical Relational Learning with Formal Ontologies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Multi-Relational Learning with Gaussian Processes.
Proceedings of the IJCAI 2009, 2009

Tutorial summary: Learning with dependencies between several response variables.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Hierarchical Bayesian Models for Collaborative Tagging Systems.
Proceedings of the ICDM 2009, 2009

2008
Extraction of semantic biomedical relations from text using conditional random fields.
BMC Bioinformatics, 2008

Towards Machine Learning on the Semantic Web.
Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008

Towards LarKC: A Platform for Web-Scale Reasoning.
Proceedings of the 2th IEEE International Conference on Semantic Computing (ICSC 2008), 2008

Social Network Mining with Nonparametric Relational Models.
Proceedings of the Advances in Social Network Mining and Analysis, 2008

A statistical relational model for trust learning.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge.
VLSI Signal Processing, 2007

Fast Inference in Infinite Hidden Relational Models.
Proceedings of the Mining and Learning with Graphs, 2007

Robust multi-task learning with t-processes.
Proceedings of the Machine Learning, 2007

Structure Learning with Nonparametric Decomposable Models.
Proceedings of the Artificial Neural Networks, 2007

Learning Initial Trust Among Interacting Agents.
Proceedings of the Cooperative Information Agents XI, 11th International Workshop, 2007

2006
Multi-Output Regularized Feature Projection.
IEEE Trans. Knowl. Data Eng., 2006

Infinite Hidden Relational Models.
Proceedings of the UAI '06, 2006

Stochastic Relational Models for Discriminative Link Prediction.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Supervised probabilistic principal component analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Collaborative ordinal regression.
Proceedings of the Machine Learning, 2006

Active learning via transductive experimental design.
Proceedings of the Machine Learning, 2006

Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Multi-label informed latent semantic indexing.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

A Probabilistic Clustering-Projection Model for Discrete Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Soft Clustering on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Gaussian processes from multiple tasks.
Proceedings of the Machine Learning, 2005

Dirichlet enhanced relational learning.
Proceedings of the Machine Learning, 2005

Hierarchy-Regularized Latent Semantic Indexing.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Multi-Output Regularized Projection.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Dirichlet Enhanced Latent Semantic Analysis.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Probabilistic Memory-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2004

Generative binary codes.
Pattern Anal. Appl., 2004

A nonparametric hierarchical bayesian framework for information filtering.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Learning Gaussian Process Kernels via Hierarchical Bayes.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Dirichlet Enhanced Latent Semantic Analysis.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Heterogenous Data Fusion via a Probabilistic Latent-Variable Model.
Proceedings of the Organic and Pervasive Computing, 2004

2003
Classification of rheumatoid joint inflammation based on laser imaging.
IEEE Trans. Biomed. Engineering, 2003

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes.
Proceedings of the UAI '03, 2003

GPPS: A Gaussian Process Positioning System for Cellular Networks.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Knowing a tree from the forest: art image retrieval using a society of profiles.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning.
Proceedings of the Switching and Learning in Feedback Systems, 2003

Representative Sampling for Text Classification Using Support Vector Machines.
Proceedings of the Advances in Information Retrieval, 2003

A Hybrid Relevance-Feedback Approach to Text Retrieval.
Proceedings of the Advances in Information Retrieval, 2003

2002
The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Transductive and Inductive Methods for Approximate Gaussian Process Regression.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Removing redundancy and inconsistency in memory-based collaborative filtering.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Scaling Kernel-Based Systems to Large Data Sets.
Data Min. Knowl. Discov., 2001

Scalable Kernel Systems.
Proceedings of the Artificial Neural Networks, 2001

The Bayesian Committee Support Vector Machine.
Proceedings of the Artificial Neural Networks, 2001

Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
A Bayesian Committee Machine.
Neural Computation, 2000

Mixtures of Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

The generalized Bayesian committee machine.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

A learning vector quantization algorithm for probabilistic models.
Proceedings of the 10th European Signal Processing Conference, 2000

A hidden Markov model for metric and event-based data.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Neural-network models for the blood glucose metabolism of a diabetic.
IEEE Trans. Neural Networks, 1999

Mixture Approximations to Bayesian Networks.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Robust Neural Network Regression for Offline and Online Learning.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Mean field inference in a general probabilistic setting.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates.
IEEE Trans. Neural Networks, 1998

Nonlinear Time-Series Prediction with Missing and Noisy Data.
Neural Computation, 1998

Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Fraud detection in communication networks using neural and probabilistic methods.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Averaging Regularized Estimators.
Neural Computation, 1997

Representing Probabilistic Rules with Networks of Gaussian Basis Functions.
Machine Learning, 1997

A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Nonlinear Markov Networks for Continuous Variables.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Combining Regularized Neural Networks.
Proceedings of the Artificial Neural Networks, 1997

1996
Early Brain Damage.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Die besonderen Eigenschaften Neuronaler Netze bei der Approximation von Funktionen.
KI, 1995

Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Discovering Structure in Continuous Variables Using Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Videographic tomography. II. Reconstruction with fan-beam projection data.
IEEE Trans. Med. Imaging, 1994

Combining Estimators Using Non-Constant Weighting Functions.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Efficient Methods for Dealing with Missing Data in Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Training Neural Networks with Deficient Data.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Network Structuring and Training Using Rule-Based Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Some Solutions to the Missing Feature Problem in Vision.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Neuronale Netze zur Segmentierung und Clusterung von biomagnetischen Signalen.
Proceedings of the Mustererkennung 1992, 1992

Integrating Rule-Based Knowledge into Neural Computing.
Proceedings of the Mustererkennung 1992, 1992

1991
Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

A Neural Architecture for 2D and 3D Vision.
Proceedings of the Mustererkennung 1991, 1991

1990
A Neural Network Approach for Three-Dimensional Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990


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