Lucas Drumond

Affiliations:
  • University of Hildesheim, Department of Computer Science


According to our database1, Lucas Drumond authored at least 36 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Bosch Deep Learning Hardware Benchmark.
CoRR, 2020

2018
Learning to Forecast Pedestrian Intention from Pose Dynamics.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
Personalized Deep Learning for Tag Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016
Multi-Relational Learning at Scale with ADMM.
CoRR, 2016

Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.
Proceedings of the Conference "Lernen, 2016

Learning Thesaurus Relations from Distributional Features.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF.
Proceedings of the COLING 2016, 2016

2015
Hyperparameter Optimization with Factorized Multilayer Perceptrons.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Geo_ML @ MediaEval Placing Task 2015.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
Factorization models for multi-relational data.
PhD thesis, 2014

Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Optimizing Multi-Relational Factorization Models for Multiple Target Relations.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Towards real-time collaborative filtering for big fast data.
Proceedings of the 22nd International World Wide Web Conference, 2013

Supervised Dimensionality Reduction via Nonlinear Target Estimation.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012
Personalized Ranking for Non-Uniformly Sampled Items.
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Multi-relational matrix factorization using bayesian personalized ranking for social network data.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Using factorization machines for student modeling.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Factorization techniques for student performance classification and ranking.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Predicting RDF triples in incomplete knowledge bases with tensor factorization.
Proceedings of the ACM Symposium on Applied Computing, 2012

Real-time top-n recommendation in social streams.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

What is happening right now ... that interests me?: online topic discovery and recommendation in twitter.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Matrix and Tensor Factorization for Predicting Student Performance.
Proceedings of the CSEDU 2011, 2011

2010
Recommender system for predicting student performance.
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, 2010

Extracting ontology concept hierarchies from text using Markov logic.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Learning Attribute-to-Feature Mappings for Cold-Start Recommendations.
Proceedings of the ICDM 2010, 2010

2009
A Knowledge-based Retrieval Model.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

An Information Retrieval Model for the Semantic Web.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

Implementation Issues of the Infonorma Multi-agent Recommender System.
Proceedings of the ICEIS 2009, 2009

2008
A multi-agent legal recommender system.
Artif. Intell. Law, 2008

A Survey of Ontology Learning Procedures.
Proceedings of the 3rd Workshop on Ontologies and their Applications, 2008

A Similarity Analysis Model for Semantic Web Information Filtering Applications.
Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

A Case Study on Domain Analysis of Semantic Web Multi-Agent Recommender Systems.
Proceedings of the ICSOFT 2008, 2008

2007
A Case Study on the Application of the MAAEM Methodology for the Specification Modeling of Recommender Systems in the Legal Domain.
Proceedings of the ICEIS 2007, 2007

Architectural design of a multi-agent recommender system for the legal domain.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Law, 2007


  Loading...