Lucas Drumond

Publication Activity (10 Years)

Years Active: 2007-2018
Publications (10 Years): 5

Top Topics

Matrix Factorization

Relational Learning

Supervised Dimensionality Reduction

Personalized Ranking

Top Venues

Publications

Omair Ghori, Radek Mackowiak, Miguel Ángel Bautista, Niklas Beuter, Lucas Drumond, Ferran Diego, Björn Ommer
Learning to Forecast Pedestrian Intention from Pose Dynamics. Intelligent Vehicles Symposium (2018)
Nghia Duong-Trung, Nicolas Schilling, Lucas Drumond, Lars Schmidt-Thieme
Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream. LWDA (2016)
Lucas Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme
Multi-Relational Learning at Scale with ADMM. CoRR (2016)
Rosa Tsegaye Aga, Christian Wartena, Lucas Drumond, Lars Schmidt-Thieme
Learning Thesaurus Relations from Distributional Features. LREC (2016)
Rosa Tsegaye Aga, Lucas Drumond, Christian Wartena, Lars Schmidt-Thieme
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF. COLING (2016)
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons. ICTAI (2015)
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
Hyperparameter Optimization with Factorized Multilayer Perceptrons. ECML/PKDD (2) (2015)
Josif Grabocka, Lucas Drumond, Lars Schmidt-Thieme
Supervised Dimensionality Reduction via Nonlinear Target Estimation. DaWaK (2013)
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lucas Drumond, Lars Schmidt-Thieme
Towards real-time collaborative filtering for big fast data. WWW (Companion Volume) (2013)
Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
Multi-relational matrix factorization using bayesian personalized ranking for social network data. WSDM (2012)
Lucas Drumond, Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
Factorization techniques for student performance classification and ranking. UMAP Workshops (2012)
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Lars Schmidt-Thieme
Using factorization machines for student modeling. UMAP Workshops (2012)
Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
Personalized Ranking for Non-Uniformly Sampled Items. KDD Cup (2012)
Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl
Real-time top-n recommendation in social streams. RecSys (2012)
Ernesto Diaz-Aviles, Lucas Drumond, Zeno Gantner, Lars Schmidt-Thieme, Wolfgang Nejdl
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter. CIKM (2012)
Lucas Drumond, Steffen Rendle, Lars Schmidt-Thieme
Predicting RDF triples in incomplete knowledge bases with tensor factorization. SAC (2012)
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme
Matrix and Tensor Factorization for Predicting Student Performance. CSEDU (1) (2011)
Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztian Buza, Lars Schmidt-Thieme
Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques. ICWSM (2011)
Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations. ICDM (2010)
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme
Recommender system for predicting student performance. RecSysTEL@RecSys (2) (2010)
Lucas Drumond, Rosario Girardi
Extracting ontology concept hierarchies from text using Markov logic. SAC (2010)
Fabio Silva, Rosario Girardi, Lucas Drumond
A Knowledge-based Retrieval Model. SEKE (2009)
Lucas Drumond, Rosario Girardi, Djefferson Maranhão, Geraldo Abrantes
Implementation Issues of the Infonorma Multi-agent Recommender System. ICEIS (4) (2009)
Roberval Mariano, Rosario Girardi, Adriana Leite, Lucas Drumond, Djefferson Maranhão
A Case Study on Domain Analysis of Semantic Web Multi-Agent Recommender Systems. ICSOFT (ISDM/ABF) (2008)
Lucas Drumond, Rosario Girardi
A Survey of Ontology Learning Procedures. WONTO (2008)
Lucas Drumond, Rosario Girardi, Fabio Silva
A Similarity Analysis Model for Semantic Web Information Filtering Applications. SEKE (2008)
Lucas Drumond, Rosario Girardi
A multi-agent legal recommender system. Artif. Intell. Law 16 (2) (2008)
Lucas Drumond, Rosario Girardi, Adriana Leite
A Case Study on the Application of the MAAEM Methodology for the Specification Modeling of Recommender Systems in the Legal Domain. ICEIS (4) (2007)
Lucas Drumond, Rosario Girardi, Adriana Leite
Architectural design of a multi-agent recommender system for the legal domain. ICAIL (2007)