Name
Affiliation
Papers
LUCAS DRUMOND
Corresponding author. Tel.: +49 5121 883-850; fax: +49 5121 883-859.
31
Collaborators
Citations 
PageRank 
35
395
24.27
Referers 
Referees 
References 
1128
634
374
Search Limit
1001000
Title
Citations
PageRank
Year
Multi-Relational Learning at Scale with ADMM.00.342016
Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.00.342016
Learning Thesaurus Relations from Distributional Features.00.342016
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF.00.342016
Hyperparameter Optimization with Factorized Multilayer Perceptrons70.462015
Geo_ML @ MediaEval Placing Task 2015.00.342015
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons00.342015
Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification.00.342014
Supervised Dimensionality Reduction via Nonlinear Target Estimation00.342013
Towards real-time collaborative filtering for big fast data20.402013
Real-time top-n recommendation in social streams632.112012
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter110.642012
Predicting RDF triples in incomplete knowledge bases with tensor factorization60.672012
Using factorization machines for student modeling.120.782012
Factorization techniques for student performance classification and ranking.20.382012
Multi-relational matrix factorization using bayesian personalized ranking for social network data371.582012
Personalized Ranking for Non-Uniformly Sampled Items.140.872012
Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques.140.852011
MATRIX AND TENSOR FACTORIZATION FOR PREDICTING STUDENT PERFORMANCE161.292011
Extracting ontology concept hierarchies from text using Markov logic80.562010
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations1334.942010
Recommender System for Predicting Student Performance281.292010
Implementation Issues of the Infonorma Multi-agent Recommender System00.342009
A Knowledge-based Retrieval Model10.362009
An Information Retrieval Model for the Semantic Web00.342009
A Similarity Analysis Model for Semantic Web Information Filtering Applications20.412008
A Survey of Ontology Learning Procedures321.652008
A multi-agent legal recommender system00.342008
A Case Study On Domain Analysis Of Semantic Web Multi-Agent Recommender Systems20.432008
Architectural design of a multi-agent recommender system for the legal domain30.482007
A Case Study on the Application of the MAAEM Methodology for the Specification Modeling of Recommender Systems in the Legal Domain20.392007