Adrian Silvescu

Publication Activity (10 Years)

Years Active: 1997-2016
Publications (10 Years): 1

Top Topics

High Dimensional Feature Spaces

Disaster Management

Convolutional Neural Networks

Top Venues

Publications

Cornelia Caragea, Adrian Silvescu, Andrea H. Tapia
Identifying Informative Messages in Disasters using Convolutional Neural Networks. ISCRAM (2016)
Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra, C. Lee Giles
Can't see the forest for the trees?: a citation recommendation system. JCDL (2013)
Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces. AAAI (2012)
Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra
Protein Sequence Classification Using Feature Hashing. BIBM (2011)
Adrian Silvescu, Vasant G. Honavar
Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction. Algorithmic Probability and Friends (2011)
Cornelia Caragea, Adrian Silvescu, Saurabh Kataria, Doina Caragea, Prasenjit Mitra
Classifying Scientific Publications Using Abstract Features. SARA (2011)
Adrian Silvescu, Vasant G. Honavar
Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction CoRR (2011)
Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar
Semi-supervised sequence classification using abstraction augmented Markov models. BCB (2010)
Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar
Abstraction Augmented Markov Models. ICDM (2010)
Cornelia Caragea, Doina Caragea, Adrian Silvescu, Vasant G. Honavar
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models. BMC Bioinform. 11 (S-8) (2010)
Adrian Silvescu, Cornelia Caragea, Vasant G. Honavar
Combining Super-Structuring and Abstraction on Sequence Classification. ICDM (2009)
Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant G. Honavar
Glycosylation site prediction using ensembles of Support Vector Machine classifiers. BMC Bioinform. 8 (2007)
Jun Zhang, Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. Knowl. Inf. Syst. 9 (2) (2006)
Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar
TRIPPER: Rule Learning Using Taxonomies. PAKDD (2006)
Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. PAKDD (2006)
Adrian Silvescu, Vasant G. Honavar
Independence, Decomposability and Functions which Take Values into an Abelian Group. AI&M (2006)
Oksana Yakhnenko, Adrian Silvescu, Vasant G. Honavar
Discriminatively Trained Markov Model for Sequence Classification. ICDM (2005)
Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar
Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. DILS (2005)
Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar
Information Integration from Semantically Heterogeneous Biological Data Sources. DEXA Workshops (2005)
Dae-Ki Kang, Jun Zhang, Adrian Silvescu, Vasant G. Honavar
Multinomial Event Model Based Abstraction for Sequence and Text Classification. SARA (2005)
Doina Caragea, Adrian Silvescu, Vasant G. Honavar
A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. Int. J. Hybrid Intell. Syst. 1 (2) (2004)
Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant G. Honavar
Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. ICDM (2004)
Doina Caragea, Adrian Silvescu, Vasant G. Honavar
Learning Decision Trees form Distributed Heterogeneous Autonomous Data. MAICS (2003)
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant G. Honavar
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. IIWeb (2003)
Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant G. Honavar
Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach. IRI (2003)
Jun Zhang, Adrian Silvescu, Vasant G. Honavar
Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. SARA (2002)
Doina Caragea, Adrian Silvescu, Vasant G. Honavar
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Adrian Silvescu, Vasant G. Honavar
Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series. Complex Syst. 13 (1) (2001)
Doina Caragea, Adrian Silvescu, Vasant G. Honavar
Incremental and Distributed Learning with Support Vector Machines. AAAI/IAAI (2000)
Adrian Silvescu
Fourier neural networks. IJCNN (1999)
Adrian Silvescu
Fuzzy Modeling of Conceptual Spaces. Fuzzy Days (1997)