Adrian Silvescu

According to our database1, Adrian Silvescu authored at least 30 papers between 1997 and 2016.

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

Timeline

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Bibliography

2016
Identifying Informative Messages in Disasters using Convolutional Neural Networks.
Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

2013
Can't see the forest for the trees?: a citation recommendation system.
Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

2012
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Classifying Scientific Publications Using Abstract Features.
Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

Protein Sequence Classification Using Feature Hashing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
BMC Bioinform., 2010

Abstraction Augmented Markov Models.
Proceedings of the ICDM 2010, 2010

Semi-supervised sequence classification using abstraction augmented Markov models.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Combining Super-Structuring and Abstraction on Sequence Classification.
Proceedings of the ICDM 2009, 2009

2007
Glycosylation site prediction using ensembles of Support Vector Machine classifiers.
BMC Bioinform., 2007

2006
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data.
Knowl. Inf. Syst., 2006

TRIPPER: Rule Learning Using Taxonomies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Independence, Decomposability and Functions which Take Values into an Abelian Group.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

2005
Multinomial Event Model Based Abstraction for Sequence and Text Classification.
Proceedings of the Abstraction, 2005

Discriminatively Trained Markov Model for Sequence Classification.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources.
Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

Information Integration from Semantically Heterogeneous Biological Data Sources.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

2004
A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees.
Int. J. Hybrid Intell. Syst., 2004

Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
Learning Decision Trees form Distributed Heterogeneous Autonomous Data.
Proceedings of the MAICS 2003, 2003

Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach.
Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003

Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

2002
Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction.
Proceedings of the Abstraction, 2002

2001
Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series.
Complex Syst., 2001

Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

2000
Incremental and Distributed Learning with Support Vector Machines.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Fourier neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

1997
Fuzzy Modeling of Conceptual Spaces.
Proceedings of the Computational Intelligence, 1997


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