Lista de obras - Volker Tresp - Dominio Público Uruguay

A Knowledge Graph Perspective on Supply Chain Resilience ⬇️

A Neural Network Approach for Three-Dimensional Object Recognition ⬇️

scholarly article by Volker Tresp published 1991 in Advances in Neural Information Processing Systems 3

A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context

artículo científico publicado en 2019

A Review of Relational Machine Learning for Knowledge Graphs ⬇️

artículos científicos

A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction ⬇️

scholarly article by Volker Tresp & Thomas Briegel published 1998 in Advances in Neural Information Processing Systems 10

A Three-Way Model for Collective Learning on Multi-Relational Data ⬇️

artículo científico publicado en 2011

A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs

artículo científico

A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes

artículo científico publicado en 2020

Active Learning for Entity Alignment ⬇️

Assessment of proximal finger joint inflammation in patients with rheumatoid arthritis, using a novel laser-based imaging technique

artículo científico publicado en 2002

BOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streams

article

Big Data: Practical Applications [Scanning the Issue]

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

preprint published on 25 June 2020 that uses PyKEEN for large-scale reproduction and benchmarking

CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications

Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model ⬇️

Classification of rheumatoid joint inflammation based on laser imaging

artículo científico publicado en 2003

Combining Estimators Using Non-Constant Weighting Functions ⬇️

artículo científico publicado en 1995

Digging for knowledge with information extraction

Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies

artículo científico publicado en 2016

Discovering Structure in Continuous Variables Using Bayesian Networks ⬇️

artículo científico publicado en 1996

Early Brain Damage ⬇️

Efficient Methods for Dealing with Missing Data in Supervised Learning ⬇️

artículo científico publicado en 1995

Embedding Learning for Declarative Memories

artículo científico publicado en 2017

Extraction of semantic biomedical relations from text using conditional random fields

artículo científico publicado en 2008

Factorizing YAGO

artículo científico publicado en 2012

Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models ⬇️

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

artículo científico publicado en 2023

GPPS: A Gaussian Process Positioning System for Cellular Networks ⬇️

artículo científico publicado en 2004

Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering

artículo científico publicado en 2021

HUMAN-MACHINE COLLABORATION FOR MEDICAL IMAGE SEGMENTATION

artículo científico publicado en 2020

Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging ⬇️

artículo científico publicado en 1996

Improving Inductive Link Prediction Using Hyper-relational Facts

artículo científico publicado en 2021

Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions

artículo científico publicado en 2017

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods

Learning Gaussian Process Kernels via Hierarchical Bayes ⬇️

artículo científico publicado en 2005

Mining functional modules in genetic networks with decomposable graphical models

scientific article published on 01 January 2004

Mixtures of Gaussian Processes ⬇️

Network Structuring and Training Using Rule-based Knowledge ⬇️

artículo científico publicado en 1993

Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency ⬇️

artículo científico publicado en 1992

Nonlinear Markov Networks for Continuous Variables ⬇️

Predicting Visual Acuity by Using Machine Learning in Patients Treated for Neovascular Age-Related Macular Degeneration

artículo científico publicado en 2018

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings ⬇️

artículo científico publicado en 2021

QNEAT: Natural Evolution of Variational Quantum Circuit Architecture

artículo científico publicado en 2023

Querying Factorized Probabilistic Triple Databases

artículo científico publicado en 2014

Reducing the Rank in Relational Factorization Models by Including Observable Patterns ⬇️

artículo científico publicado en 2014

Robust Neural Network Regression for Offline and Online Learning ⬇️

scholarly article by Thomas Briegel & Volker Tresp published 2000 in Advances in Neural Information Processing Systems 12

Semantic Traffic-Aware Routing Using the LarKC Platform

Soft Clustering on Graphs ⬇️

artículo científico publicado en 2006

Some Solutions to the Missing Feature Problem in Vision ⬇️

artículo científico publicado en 1993

Stochastic Relational Models for Discriminative Link Prediction ⬇️

artículo científico publicado en 2007

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

artículo científico publicado en 2003

Towards BOTTARI: Using Stream Reasoning to Make Sense of Location-Based Micro-posts

Towards LarKC: A Platform for Web-Scale Reasoning

Training Neural Networks with Deficient Data ⬇️

artículo científico publicado en 1994

Transductive and Inductive Methods for Approximate Gaussian Process Regression ⬇️

artículo científico publicado en 2003

Type-Constrained Representation Learning in Knowledge Graphs

artículo científico publicado en 2015

Minería de la Web Semántica

artículo científico publicado en febrero de 2012

Lista de obras de Volker Tresp

A Knowledge Graph Perspective on Supply Chain Resilience ⬇️

A Neural Network Approach for Three-Dimensional Object Recognition ⬇️

A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context

A Review of Relational Machine Learning for Knowledge Graphs ⬇️

A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction ⬇️

A Three-Way Model for Collective Learning on Multi-Relational Data ⬇️

A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs

A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes

Active Learning for Entity Alignment ⬇️

Assessment of proximal finger joint inflammation in patients with rheumatoid arthritis, using a novel laser-based imaging technique

BOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streams

Big Data: Practical Applications [Scanning the Issue]

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications

Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model ⬇️

Classification of rheumatoid joint inflammation based on laser imaging

Combining Estimators Using Non-Constant Weighting Functions ⬇️

Digging for knowledge with information extraction

Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies

Discovering Structure in Continuous Variables Using Bayesian Networks ⬇️

Early Brain Damage ⬇️

Efficient Methods for Dealing with Missing Data in Supervised Learning ⬇️

Embedding Learning for Declarative Memories

Extraction of semantic biomedical relations from text using conditional random fields

Factorizing YAGO

Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models ⬇️

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

GPPS: A Gaussian Process Positioning System for Cellular Networks ⬇️

Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering

HUMAN-MACHINE COLLABORATION FOR MEDICAL IMAGE SEGMENTATION

Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging ⬇️

Improving Inductive Link Prediction Using Hyper-relational Facts

Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods

Learning Gaussian Process Kernels via Hierarchical Bayes ⬇️

Mining functional modules in genetic networks with decomposable graphical models

Mixtures of Gaussian Processes ⬇️

Network Structuring and Training Using Rule-based Knowledge ⬇️

Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency ⬇️

Nonlinear Markov Networks for Continuous Variables ⬇️

Predicting Visual Acuity by Using Machine Learning in Patients Treated for Neovascular Age-Related Macular Degeneration

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings ⬇️

QNEAT: Natural Evolution of Variational Quantum Circuit Architecture

Querying Factorized Probabilistic Triple Databases

Reducing the Rank in Relational Factorization Models by Including Observable Patterns ⬇️

Robust Neural Network Regression for Offline and Online Learning ⬇️

Semantic Traffic-Aware Routing Using the LarKC Platform

Soft Clustering on Graphs ⬇️

Some Solutions to the Missing Feature Problem in Vision ⬇️

Stochastic Relational Models for Discriminative Link Prediction ⬇️

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

Towards BOTTARI: Using Stream Reasoning to Make Sense of Location-Based Micro-posts

Towards LarKC: A Platform for Web-Scale Reasoning

Training Neural Networks with Deficient Data ⬇️

Transductive and Inductive Methods for Approximate Gaussian Process Regression ⬇️

Type-Constrained Representation Learning in Knowledge Graphs

Minería de la Web Semántica