Lucas Drumond

29 papers A* 1A 4B 5C 3Misc 2Journal 2Unranked 12
YearRankTypeTitle / Venue / Authors
2018 B conf
Learning to Forecast Pedestrian Intention from Pose Dynamics.
Intelligent Vehicles Symposium
Omair Ghori, Radek Mackowiak, Miguel Ángel Bautista, Niklas Beuter, Lucas Drumond, Ferran Diego, Björn Ommer
2016 B conf
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF.
COLING
Rosa Tsegaye Aga, Lucas Drumond, Christian Wartena, Lars Schmidt-Thieme
2016 B conf
Learning Thesaurus Relations from Distributional Features.
LREC
Rosa Tsegaye Aga, Christian Wartena, Lucas Drumond, Lars Schmidt-Thieme
2016 — conf
Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.
LWDA
Nghia Duong-Trung, Nicolas Schilling, Lucas Drumond, Lars Schmidt-Thieme
2016 J jnl
Multi-Relational Learning at Scale with ADMM.
CoRR
Lucas Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme
2015 — conf
Hyperparameter Optimization with Factorized Multilayer Perceptrons.
ECML/PKDD (2)
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
2015 B conf
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons.
ICTAI
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
2013 B conf
Supervised Dimensionality Reduction via Nonlinear Target Estimation.
DaWaK
Josif Grabocka, Lucas Drumond, Lars Schmidt-Thieme
2013 — conf
Towards real-time collaborative filtering for big fast data.
WWW (Companion Volume)
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lucas Drumond, Lars Schmidt-Thieme
2012 — conf
Factorization techniques for student performance classification and ranking.
UMAP Workshops
Lucas Drumond, Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme
2012 A conf
Multi-relational matrix factorization using bayesian personalized ranking for social network data.
WSDM
Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
2012 — conf
Personalized Ranking for Non-Uniformly Sampled Items.
KDD Cup
Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
2012 Misc conf
Predicting RDF triples in incomplete knowledge bases with tensor factorization.
SAC
Lucas Drumond, Steffen Rendle, Lars Schmidt-Thieme
2012 A conf
Real-time top-n recommendation in social streams.
RecSys
Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl
2012 — conf
Using factorization machines for student modeling.
UMAP Workshops
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Lars Schmidt-Thieme
2012 A conf
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter.
CIKM
Ernesto Diaz-Aviles, Lucas Drumond, Zeno Gantner, Lars Schmidt-Thieme, Wolfgang Nejdl
2011 — conf
Matrix and Tensor Factorization for Predicting Student Performance.
CSEDU (1)
Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme
2011 A conf
Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques.
ICWSM
Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztián Búza, Lars Schmidt-Thieme
2010 Misc conf
Extracting ontology concept hierarchies from text using Markov logic.
SAC
Lucas Drumond, Rosario Girardi
2010 A* conf
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations.
ICDM
Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme
2010 — conf
Recommender system for predicting student performance.
RecSysTEL@RecSys
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme
2009 C conf
A Knowledge-based Retrieval Model.
SEKE
Fabio Silva, Rosario Girardi, Lucas Drumond
2009 — conf
Implementation Issues of the Infonorma Multi-agent Recommender System.
ICEIS (4)
Lucas Drumond, Rosario Girardi, Djefferson Maranhão, Geraldo Abrantes
2008 — conf
A Case Study on Domain Analysis of Semantic Web Multi-Agent Recommender Systems.
ICSOFT (ISDM/ABF)
Roberval Mariano, Rosario Girardi, Adriana Leite, Lucas Drumond, Djefferson Maranhão
2008 C conf
A Similarity Analysis Model for Semantic Web Information Filtering Applications.
SEKE
Lucas Drumond, Rosario Girardi, Fabio Silva
2008 — conf
A Survey of Ontology Learning Procedures.
WONTO
Lucas Drumond, Rosario Girardi
2008 J jnl
A multi-agent legal recommender system.
Artif. Intell. Law
Lucas Drumond, Rosario Girardi
2007 — conf
A Case Study on the Application of the MAAEM Methodology for the Specification Modeling of Recommender Systems in the Legal Domain.
ICEIS (4)
Lucas Drumond, Rosario Girardi, Adriana Leite
2007 C conf
Architectural design of a multi-agent recommender system for the legal domain.
ICAIL
Lucas Drumond, Rosario Girardi, Adriana Leite