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ORCIDVolker Tresp
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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2021
[c137]Yunpu Ma, Volker Tresp:
Causal Inference under Networked Interference and Intervention Policy Enhancement. AISTATS 2021: 3700-3708- [c136]Max Berrendorf, Evgeniy Faerman, Volker Tresp:
Active Learning for Entity Alignment. ECIR (1) 2021: 48-62 - [i69]Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp:
Temporal Knowledge Graph Forecasting with Neural ODE. CoRR abs/2101.05151 (2021) - [i68]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Visual Reasoning by Exploiting The Knowledge in Texts. CoRR abs/2102.04760 (2021) - [i67]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. CoRR abs/2102.10055 (2021) - [i66]Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl:
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. CoRR abs/2103.03939 (2021) - [i65]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. CoRR abs/2103.08107 (2021) - [i64]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR abs/2103.10367 (2021) - [i63]Jindong Gu, Volker Tresp, Han Hu:
Capsule Network is Not More Robust than Convolutional Network. CoRR abs/2103.15459 (2021) - 2020
- [j34]Dietrich Trautmann
, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze:
Relational and Fine-Grained Argument Mining. Datenbank-Spektrum 20(2): 99-105 (2020) - [j33]Heiko Paulheim, Volker Tresp, Zhiyuan Liu:
Representation Learning for the Semantic Web. J. Web Semant. 61-62: 100570 (2020) - [c135]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI 2020: 4123-4131 - [c134]Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. ACCV (4) 2020: 36-52 - [c133]Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp:
Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. AKBC 2020 - [c132]Mehwish Alam, Paul Groth, Pascal Hitzler, Heiko Paulheim, Harald Sack, Volker Tresp:
CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. CIKM 2020: 3523-3524 - [c131]Yunpu Ma, Zhen Han, Volker Tresp:
Learning with Temporal Knowledge Graphs. CIKM (Workshops) 2020 - [c130]Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du:
Controllable Multi-Character Psychology-Oriented Story Generation. CIKM 2020: 1675-1684 - [c129]Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. CVPR 2020: 7283-7291 - [c128]Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. ECAI 2020: 1159-1165 - [c127]Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl:
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) 2020: 3-11 - [c126]Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze:
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. EMNLP (1) 2020: 7117-7130 - [c125]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. EMNLP (1) 2020: 7301-7316 - [c124]Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen:
Künstliche Intelligenz - Die dritte Welle. GI-Jahrestagung 2020: 91-95 - [c123]Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. ICASSP 2020: 1040-1044 - [c122]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI 2020: 1-11 - [c121]Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. ICPR 2020: 3597-3604 - [c120]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. ICPR 2020: 10449-10456 - [i62]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR abs/2001.00461 (2020) - [i61]Yunpu Ma, Yuyi Wang, Volker Tresp:
Quantum Machine Learning Algorithm for Knowledge Graphs. CoRR abs/2001.01077 (2020) - [i60]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. CoRR abs/2001.03436 (2020) - [i59]Max Berrendorf, Evgeniy Faerman, Volker Tresp:
Active Learning for Entity Alignment. CoRR abs/2001.08943 (2020) - [i58]Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: Semantic Decoding for Perception and Memory. CoRR abs/2001.11027 (2020) - [i57]Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. CoRR abs/2001.11612 (2020) - [i56]Rui Zhao, Volker Tresp, Wei Xu:
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning. CoRR abs/2002.01963 (2020) - [i55]Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp:
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank. CoRR abs/2002.06914 (2020) - [i54]Yunpu Ma, Yuyi Wang, Volker Tresp:
Causal Inference under Networked Interference. CoRR abs/2002.08506 (2020) - [i53]Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp:
Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. CoRR abs/2003.13432 (2020) - [i52]Rajat Koner, Poulami Sinhamahapatra, Volker Tresp:
Relation Transformer Network. CoRR abs/2004.06193 (2020) - [i51]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR abs/2006.13365 (2020) - [i50]Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann:
Scene Graph Reasoning for Visual Question Answering. CoRR abs/2007.01072 (2020) - [i49]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR abs/2007.01083 (2020) - [i48]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. CoRR abs/2007.04146 (2020) - [i47]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp:
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR abs/2007.05292 (2020) - [i46]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. CoRR abs/2007.14175 (2020) - [i45]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. CoRR abs/2008.04042 (2020) - [i44]Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. CoRR abs/2009.09140 (2020) - [i43]Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du:
Controllable Multi-Character Psychology-Oriented Story Generation. CoRR abs/2010.05230 (2020) - [i42]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. CoRR abs/2011.03984 (2020) - [i41]Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. CoRR abs/2011.10084 (2020) - [i40]Jindong Gu, Volker Tresp:
Interpretable Graph Capsule Networks for Object Recognition. CoRR abs/2012.01674 (2020) - [i39]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. CoRR abs/2012.15537 (2020)
2010 – 2019
- 2019
- [j32]Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding models for episodic knowledge graphs. J. Web Semant. 59 (2019) - [c119]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp:
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. ESWC 2019: 179-193 - [c118]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. ICHI 2019: 1-10 - [c117]Rui Zhao, Xudong Sun, Volker Tresp:
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. ICML 2019: 7553-7562 - [c116]Marcel Hildebrandt, Mohamed Khalil, Christoph Bergs, Volker Tresp, Roland Wüchner, Kai-Uwe Bletzinger, Michael Heizmann:
Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. INDIN 2019: 1327-1332 - [c115]Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten Kortuem, Volker Tresp:
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. DART/MIL3ID@MICCAI 2019: 3-10 - [i38]Rui Zhao, Volker Tresp:
Curiosity-Driven Experience Prioritization via Density Estimation. CoRR abs/1902.08039 (2019) - [i37]Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang:
Variational Quantum Circuit Model for Knowledge Graphs Embedding. CoRR abs/1903.00556 (2019) - [i36]Sahand Sharifzadeh, Max Berrendorf, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. CoRR abs/1905.00966 (2019) - [i35]Rui Zhao, Xudong Sun, Volker Tresp:
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. CoRR abs/1905.08786 (2019) - [i34]Jindong Gu, Volker Tresp:
Saliency Methods for Explaining Adversarial Attacks. CoRR abs/1908.08413 (2019) - [i33]Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten Kortuem, Volker Tresp:
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. CoRR abs/1910.02702 (2019) - [i32]Ilja Manakov, Volker Tresp:
Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders. CoRR abs/1910.02713 (2019) - [i31]Jindong Gu, Volker Tresp:
Semantics for Global and Local Interpretation of Deep Neural Networks. CoRR abs/1910.09085 (2019) - [i30]Jindong Gu, Volker Tresp:
Contextual Prediction Difference Analysis. CoRR abs/1910.09086 (2019) - [i29]Ilja Manakov, Markus Rohm, Volker Tresp:
Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck. CoRR abs/1911.07460 (2019) - [i28]Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. CoRR abs/1911.07968 (2019) - [i27]Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl:
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR abs/1911.08342 (2019) - [i26]Jindong Gu, Volker Tresp:
Neural Network Memorization Dissection. CoRR abs/1911.09537 (2019) - 2018
- [j31]Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp:
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Manifestos 7(1): 52-68 (2018) - [j30]Pasquale Minervini, Volker Tresp, Claudia d'Amato, Nicola Fanizzi:
Adaptive Knowledge Propagation in Web Ontologies. ACM Trans. Web 12(1): 2:1-2:28 (2018) - [c114]Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. ACCV (3) 2018: 119-134 - [c113]Rui Zhao, Volker Tresp:
Energy-Based Hindsight Experience Prioritization. CoRL 2018: 113-122 - [c112]Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching:
Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. ICHI 2018: 152-162 - [c111]Rui Zhao, Volker Tresp:
Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. LaCATODA@IJCAI 2018: 1-7 - [c110]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. IJCAI 2018: 5214-5218 - [c109]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler:
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) 2018: 271-287 - [c108]Rui Zhao, Volker Tresp:
Efficient Dialog Policy Learning via Positive Memory Retention. SLT 2018: 823-830 - [c107]Rui Zhao, Volker Tresp:
Learning Goal-Oriented Visual Dialog via Tempered Policy Gradient. SLT 2018: 868-875 - [c106]Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier:
Holistic Representations for Memorization and Inference. UAI 2018: 403-413 - [r2]Volker Tresp, Maximilian Nickel:
Relational Models. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i25]Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding Models for Episodic Memory. CoRR abs/1807.00228 (2018) - [i24]Rui Zhao, Volker Tresp:
Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. CoRR abs/1807.00737 (2018) - [i23]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. CoRR abs/1808.08941 (2018) - [i22]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. CoRR abs/1809.00204 (2018) - [i21]Rui Zhao, Volker Tresp:
Energy-Based Hindsight Experience Prioritization. CoRR abs/1810.01363 (2018) - [i20]Rui Zhao, Volker Tresp:
Efficient Dialog Policy Learning via Positive Memory Retention. CoRR abs/1810.01371 (2018) - [i19]Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. CoRR abs/1812.02100 (2018) - 2017
- [c105]Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. ESANN 2017 - [c104]Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang:
Embedding Learning for Declarative Memories. ESWC (1) 2017: 202-216 - [c103]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. ICHI 2017: 46-55 - [c102]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. ICML 2017: 3891-3900 - [c101]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. MLHC 2017: 164-176 - [c100]Volker Tresp, Yunpu Ma, Stephan Baier:
Learning with Knowledge Graphs. NeSy 2017 - [c99]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. International Semantic Web Conference (1) 2017: 53-68 - [i18]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. CoRR abs/1707.01786 (2017) - [i17]Volker Tresp, Yunpu Ma:
The Tensor Memory Hypothesis. CoRR abs/1708.02918 (2017) - [i16]Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. CoRR abs/1711.04679 (2017) - [i15]Stephan Baier, Volker Tresp:
Tensor Decompositions for Modeling Inverse Dynamics. CoRR abs/1711.04683 (2017) - 2016
- [j29]Daniel Sonntag, Volker Tresp, Sonja Zillner, Alexander Cavallaro, Matthias Hammon, André Reis, Peter A. Fasching, Martin Sedlmayr, Thomas Ganslandt, Hans-Ulrich Prokosch, Klemens Budde, Danilo Schmidt, Carl Hinrichs, Thomas Wittenberg, Philipp Daumke, Patricia G. Oppelt:
The Clinical Data Intelligence Project - A smart data initiative. Inform. Spektrum 39(4): 290-300 (2016) - [j28]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp:
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies. J. Data Semant. 5(4): 229-248 (2016) - [j27]Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich:
A Review of Relational Machine Learning for Knowledge Graphs. Proc. IEEE 104(1): 11-33 (2016) - [j26]Simon Haykin, Volker Tresp, Jon Atli Benediktsson:
Big Data: Practical Applications [Scanning the Issue]. Proc. IEEE 104(11): 2082-2084 (2016) - [j25]Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu:
Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proc. IEEE 104(11): 2180-2206 (2016) - [c98]Yinchong Yang, Cristóbal Esteban, Volker Tresp:
Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. ESWC 2016: 199-213 - [c97]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass:
Predicting the co-evolution of event and Knowledge Graphs. FUSION 2016: 98-105 - [c96]Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp:
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. ICHI 2016: 93-101 - [c95]Stephan Baier, Denis Krompass, Volker Tresp:
Learning representations for discrete sensor networks using tensor decompositions. MFI 2016: 84-89 - [e2]Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9853, Springer 2016, ISBN 978-3-319-46130-4 [contents] - [i14]Cristóbal Esteban, Oliver Staeck, Yinchong Yang, Volker Tresp:
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. CoRR abs/1602.02685 (2016) - [i13]Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu:
Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare. CoRR abs/1606.08075 (2016) - [i12]Volker Tresp, Maximilian Nickel:
Relational Models. CoRR abs/1609.03145 (2016) - [i11]Yinchong Yang, Peter A. Fasching, Markus Wallwiener, Tanja N. Fehm, Sara Y. Brucker, Volker Tresp:
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. CoRR abs/1612.00611 (2016) - [i10]Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp:
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Reports 6(4): 57-79 (2016) - 2015
- [j24]Denis Krompaß, Cristóbal Esteban, Volker Tresp, Martin Sedlmayr, Thomas Ganslandt:
Exploiting Latent Embeddings of Nominal Clinical Data for Predicting Hospital Readmission. Künstliche Intell. 29(2): 153-159 (2015) - [c94]Cristóbal Esteban, Danilo Schmidt, Denis Krompass, Volker Tresp:
Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model. ICHI 2015: 130-139 - [c93]Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp:
Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. ICDM 2015: 94-108 - [c92]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. International Semantic Web Conference (1) 2015: 640-655 - [i9]Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich:
A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction. CoRR abs/1503.00759 (2015) - [i8]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. CoRR abs/1508.02593 (2015) - [i7]Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß:
Learning with Memory Embeddings. CoRR abs/1511.07972 (2015) - [i6]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß:
Predicting the Co-Evolution of Event and Knowledge Graphs. CoRR abs/1512.06900 (2015) - 2014
- [j23]Yi Huang, Volker Tresp, Maximilian Nickel, Achim Rettinger, Hans-Peter Kriegel:
A scalable approach for statistical learning in semantic graphs. Semantic Web 5(1): 5-22 (2014) - [j22]Marco Balduini, Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp:
Reality mining on micropost streams - Deductive and inductive reasoning for personalized and location-based recommendations. Semantic Web 5(5): 341-356 (2014) - [c91]Denis Krompass, Maximilian Nickel, Volker Tresp:
Large-scale factorization of type-constrained multi-relational data. DSAA 2014: 18-24 - [c90]Maximilian Nickel, Xueyan Jiang, Volker Tresp:
Reducing the Rank in Relational Factorization Models by Including Observable Patterns. NIPS 2014: 1179-1187 - [c89]Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp:
Probabilistic Latent-Factor Database Models. LD4KD 2014 - [c88]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp:
Learning to Propagate Knowledge in Web Ontologies. URSW 2014: 13-24 - [c87]Denis Krompaß, Maximilian Nickel, Volker Tresp:
Querying Factorized Probabilistic Triple Databases. International Semantic Web Conference (2) 2014: 114-129 - [p2]Tilman Becker, Catherina Burghart, Kawa Nazemi, Patrick Ndjiki-Nya, Thomas Riegel, Ralf Schäfer, Thomas Sporer, Volker Tresp, Jens Wissmann:
Core Technologies for the Internet of Services. Towards the Internet of Services 2014: 59-88 - [p1]Volker Tresp, Yi Huang, Maximilian Nickel:
Querying the Web with Statistical Machine Learning.