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People: Dr. Lucas Rêgo Drumond
Office hour:
C036 Spl, upon request
Phone, Fax, Email:
Phone: +49 5121/ 883-40384
Fax: +49 5121 / 883-40361
e-mail:
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany

Teaching:

Publications:


    Books:
    • Lucas Drumond (2014):
      Factorization Models for Multi-Relational Data, PhD thesis, University of Hildesheim, Cuvillier (Available in www.amazon.de) .
    Articles:
    • Rosa Tsegaye Aga, Lucas Drumond, Christian Wartena, Lars Schmidt-Thieme (2016 ):
      Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF , in Proceedings of COLING 2016, 26th International Conference on Computational Linguistics , , pp. 2708–2717 .
    • Rosa Tsegaye Aga, Christian Wartena, Lucas Drumond, Lars Schmidt-Thieme (2016 ):
      Learning Thesaurus Relations from Distributional Features , in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) , European Language Resources Association (ELRA) , pp. 442-446 .
    • Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme (2015):
      Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons, in 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015), Vietri sul Mare, Italy. PDF
    • Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme (2015):
      Hyperparameter Optimization with Factorized Multilayer Perceptrons, in Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML'15), Porto, Portugal. PDF
    • Lucas Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Wolfgang Nejdl (2014):
      Optimizing Multi-Relational Factorization Models for MultipleTarget Relations , in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014) , Shanghai, China. PDF
    • Lucas Drumond, Lars Schmidt-Thieme, Christoph Freudenthaler, Artus Krohn-Grimberghe (2014):
      Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification , in Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, (PAKDD 2014) , Tainan, Taiwan. PDF
    • Josif Grabocka, Lucas Drumond, Lars Schmidt-Thieme (2013):
      Supervised Dimensionality Reduction Via Nonlinear Target Estimation, in Proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 . PDF
    • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Lars Schmidt-Thieme (2012):
      Using factorization machines for student modeling, in Workshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization, Montreal, Canada. PDF
    • Ernesto Diaz-Aviles, Lucas Drumond, Zeno Gantner, Lars Schmidt-Thieme, Wolfgang Nejdl (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 (CIKM 2012) . PDF
    • Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl (2012):
      Real-Time Top-N Recommendation within Social Streams , Proceedings of the 6th ACM International Conference on Recommender Systems (RecSys'12) . PDF
    • Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme (2012):
      Personalized Ranking for Non-Uniformly Sampled Items, Journal of Machine Learning Research Workshop and Conference Proceedings . PDF
    • Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme (2012):
      Multi-Relational Matrix Factorization using Bayesian Personalized Ranking for Social Network Data , Proceedings of the Fifth ACM International Conference on Web Search and Data Mining . PDF
    • Lucas Drumond, Steffen Rendle, Lars Schmidt-Thieme (2012):
      Predicting RDF Triples in Incomplete Knowledge Bases with Tensor Factorization, in Proceedings of the 27th ACM International Symposium on Applied Computing, Riva del Garda, Italy. PDF
    • Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme (2011):
      Bayesian Personalized Ranking for Non-Uniformly Sampled Items, in KDD Cup Workshop 2011, San Diego, USA. PDF
    • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Lars Schmidt-Thieme (2011):
      Multi-Relational Factorization Models for Predicting Student Performance, in KDD 2011 Workshop on Knowledge Discovery in Educational Data (KDDinED 2011). Held as part of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. PDF
    • Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztian Buza, Lars Schmidt-Thieme (2011):
      Scalable event-based clustering of social media via record linkage techniques, in Fifth International AAAI Conference on Weblogs and Social Media. PDF
    • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
      Factorization Techniques for Predicting Student Performance, to appear in Educational Recommender Systems and Technologies: Practices and Challenges (ERSAT 2011): Santos, O. C. and Boticario, J. G. (Eds.), IGI Global. PDF
    • Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
      Matrix and Tensor Factorization for Predicting Student Performance, in Proceedings of the 3rd International Conference on Computer Supported Education (CSEDU 2011). Best Student Paper Award. PDF
    • Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme (2010):
      Learning Attribute-to-Feature Mappings for Cold-Start Recommendations, in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia. PDF
    • Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme (2010):
      Recommender System for Predicting Student Performance, in Proceedings of ACM RecSys 2010 Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Elsevier Computer Science Procedia, pp. 2811-2819. PDF
    • Lucas Drumond, Rosario Girardi, Alisson Lindoso, Leandro Balby Marinho (2006):
      A Semantic Web Based Recommender System for the Legal Domain, in Proceedings of the European Conference on Artificial Intelligence (ECAI 2006). Riva del Garda, Italia. August 28th to 29th, 2006. Workshop on Recommender Systems , Ed. IOS Press., pp. 81-83.
    • Lucas Drumond, Rosario Girardi (2008):
      A Multi-agent Legal Recommender System, Artificial Intelligence and Law 2:175-207.
    • Lucas Drumond, Rosario Girardi (2008):
      A Survey of Ontology Learning Procedures, in Proceedings of the 3rd Workshop on Ontologies and Their Applications collocated with SBIA 2008, Salvador, Brazil.
    • Lucas Drumond, Rosario Girardi (2009):
      An Experiment Using Markov Logic Networks to Extract Ontology Concepts from Text, in Proceedings of the II International Workshop on Web and Text Intelligence (WTI 2009), Sao Carlos, Brazil, pp. 1-10.
    • Lucas Drumond, Rosario Girardi, Fabio Silva (2008):
      A Similarity Analysis Model for Semantic Web Information Filtering Applications, in Proceedings of the 20th International Conference on Software Engineering and Knowledge Engineering. Boston: Knowledge Systems Institute, pp. 638-642.