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Adrian Silvescu
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Journal Articles
- 2010
- [j5]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): S6 (2010) - 2007
- [j4]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) - 2006
- [j3]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): 157-179 (2006) - 2004
- [j2]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): 80-89 (2004) - 2001
- [j1]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)
Conference and Workshop Papers
- 2016
- [c25]Cornelia Caragea, Adrian Silvescu, Andrea H. Tapia:
Identifying Informative Messages in Disasters using Convolutional Neural Networks. ISCRAM 2016 - 2013
- [c24]Cornelia Caragea
, Adrian Silvescu, Prasenjit Mitra, C. Lee Giles
:
Can't see the forest for the trees?: a citation recommendation system. JCDL 2013: 111-114 - 2012
- [c23]Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra:
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces. AAAI 2012: 3-9 - 2011
- [c22]Cornelia Caragea
, Adrian Silvescu, Prasenjit Mitra:
Protein Sequence Classification Using Feature Hashing. BIBM 2011: 538-543 - [c21]Adrian Silvescu, Vasant G. Honavar
:
Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction. Algorithmic Probability and Friends 2011: 339-350 - [c20]Cornelia Caragea, Adrian Silvescu, Saurabh Kataria, Doina Caragea, Prasenjit Mitra:
Classifying Scientific Publications Using Abstract Features. SARA 2011 - 2010
- [c19]Cornelia Caragea
, Adrian Silvescu, Doina Caragea
, Vasant G. Honavar
:
Semi-supervised sequence classification using abstraction augmented Markov models. BCB 2010: 257-264 - [c18]Cornelia Caragea
, Adrian Silvescu, Doina Caragea
, Vasant G. Honavar
:
Abstraction Augmented Markov Models. ICDM 2010: 68-77 - 2009
- [c17]Adrian Silvescu, Cornelia Caragea
, Vasant G. Honavar
:
Combining Super-Structuring and Abstraction on Sequence Classification. ICDM 2009: 986-991 - 2006
- [c16]Adrian Silvescu, Vasant G. Honavar:
Independence, Decomposability and Functions which Take Values into an Abelian Group. AI&M 2006 - [c15]Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar
:
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. PAKDD 2006: 45-54 - [c14]Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar
:
TRIPPER: Rule Learning Using Taxonomies. PAKDD 2006: 55-59 - 2005
- [c13]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: 580-584 - [c12]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: 175-190 - [c11]Oksana Yakhnenko, Adrian Silvescu, Vasant G. Honavar:
Discriminatively Trained Markov Model for Sequence Classification. ICDM 2005: 498-505 - [c10]Dae-Ki Kang, Jun Zhang, Adrian Silvescu, Vasant G. Honavar:
Multinomial Event Model Based Abstraction for Sequence and Text Classification. SARA 2005: 134-148 - 2004
- [c9]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: 130-137 - 2003
- [c8]Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant G. Honavar:
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. IIWeb 2003: 99-104 - [c7]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: 183-191 - [c6]Doina Caragea, Adrian Silvescu, Vasant G. Honavar:
Learning Decision Trees form Distributed Heterogeneous Autonomous Data. MAICS 2003: 10-17 - 2002
- [c5]Jun Zhang, Adrian Silvescu, Vasant G. Honavar
:
Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. SARA 2002: 316-323 - 2001
- [c4]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: 547-559 - 2000
- [c3]Doina Caragea, Adrian Silvescu, Vasant G. Honavar:
Incremental and Distributed Learning with Support Vector Machines. AAAI/IAAI 2000: 1067 - 1999
- [c2]Adrian Silvescu:
Fourier neural networks. IJCNN 1999: 488-491 - 1997
- [c1]Adrian Silvescu:
Fuzzy Modeling of Conceptual Spaces. Fuzzy Days 1997: 277-284
Informal and Other Publications
- 2011
- [i1]Adrian Silvescu, Vasant G. Honavar:
Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction. CoRR abs/1107.0434 (2011)
Coauthor Index
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