Lucas Drumond

发表

Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification

Lars Schmidt-Thieme, Artus Krohn-Grimberghe, Lucas Drumond, 2014, PAKDD.

Personalized Ranking for Non-Uniformly Sampled Items

Lars Schmidt-Thieme, Zeno Gantner, Lucas Drumond, 2012, KDD Cup.

A Knowledge-based Retrieval Model

Lucas Drumond, Fabio Silva, Rosario Girardi, 2009, SEKE.

Geo_ML @ MediaEval Placing Task 2015

Lars Schmidt-Thieme, Nghia Duong-Trung, Lucas Drumond, 2015, MediaEval.

Extracting ontology concept hierarchies from text using Markov logic

Lucas Drumond, Rosario Girardi, Lucas Drumond, 2010, SAC '10.

A Survey of Ontology Learning Procedures

Lucas Drumond, Rosario Girardi, Lucas Drumond, 2008, WONTO.

Learning Attribute-to-Feature Mappings for Cold-Start Recommendations

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2010, 2010 IEEE International Conference on Data Mining.

Factorization Techniques for Predicting Student Performance

Lars Schmidt-Thieme, Alexandros Nanopoulos, Artus Krohn-Grimberghe, 2012 .

Predicting RDF triples in incomplete knowledge bases with tensor factorization

Lars Schmidt-Thieme, Steffen Rendle, Lucas Drumond, 2012, SAC '12.

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons

Lars Schmidt-Thieme, Nicolas Schilling, Lucas Drumond, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Hyperparameter Optimization with Factorized Multilayer Perceptrons

Lars Schmidt-Thieme, Nicolas Schilling, Lucas Drumond, 2015, ECML/PKDD.

Learning Thesaurus Relations from Distributional Features

Lars Schmidt-Thieme, Christian Wartena, Lucas Drumond, 2016, LREC.

Supervised Dimensionality Reduction via Nonlinear Target Estimation

Lars Schmidt-Thieme, Josif Grabocka, Lucas Drumond, 2013, DaWaK.

Using factorization machines for student modeling

Lars Schmidt-Thieme, Nguyen Thai-Nghe, Lucas Drumond, 2012, UMAP Workshops.

Multi-Relational Factorization Models for Predicting Student Performance

Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, 2011 .

Multi-relational matrix factorization using bayesian personalized ranking for social network data

Lars Schmidt-Thieme, Artus Krohn-Grimberghe, Lucas Drumond, 2012, WSDM '12.

Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF

Lars Schmidt-Thieme, Christian Wartena, Lucas Drumond, 2016, COLING.

Personalized Deep Learning for Tag Recommendation

Lars Schmidt-Thieme, Josif Grabocka, Lucas Drumond, 2017, PAKDD.

An Information Retrieval Model for the Semantic Web

Lucas Drumond, Rosario Girardi, Fabio Augusto de Santana Silva, 2009, 2009 Sixth International Conference on Information Technology: New Generations.

Recommender system for predicting student performance

Lars Schmidt-Thieme, Artus Krohn-Grimberghe, Nguyen Thai-Nghe, 2010, RecSysTEL@RecSys.

Real-time top-n recommendation in social streams

Lars Schmidt-Thieme, Ernesto Diaz-Aviles, Lucas Drumond, 2012, RecSys.

Matrix and Tensor Factorization for Predicting Student Performance

Lars Schmidt-Thieme, Alexandros Nanopoulos, Nguyen Thai-Nghe, 2011, CSEDU.

Towards real-time collaborative filtering for big fast data

Lars Schmidt-Thieme, Ernesto Diaz-Aviles, Lucas Drumond, 2013, WWW.

What is happening right now ... that interests me?: online topic discovery and recommendation in twitter

Lars Schmidt-Thieme, Zeno Gantner, Ernesto Diaz-Aviles, 2012, CIKM.

Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques

Lars Schmidt-Thieme, Philipp Cimiano, Lucas Drumond, 2011, ICWSM.

Optimizing Multi-Relational Factorization Models for Multiple Target Relations

Lars Schmidt-Thieme, Ernesto Diaz-Aviles, Lucas Drumond, 2014, CIKM.

Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream

Lars Schmidt-Thieme, Nicolas Schilling, Nghia Duong-Trung, 2016, LWDA.

Recommender system for predicting student performance

L. Schmidt-Thieme, Lucas Drumond, A. Krohn-Grimberghe, 2010, RecSysTEL@RecSys.