Adrian Silvescu

Publications

2007

• [41] Caragea, C., Sinapov, J., Silvescu, A., Dobbs, D., Honavar, V., (2007) Glycosylation site prediction using ensembles of Support Vector Machine classifiers, BMC Bioinformatics, 2007, 8:438.

• [40] Caragea, C., Sinapov, J., Silvescu, A., Dobbs, D., Honavar, V., (2007) Prediction of Glycosylation Sites using Machine Learning Approaches, The Eleventh Annual International Conference on Research in Computational Molecular Biology, Poster, Oakland, California (RECOMB2007).

2006

• [39] Caragea, C., Sinapov, J., Silvescu, A., Dobbs, D., Honavar, V., (2006) Prediction of Glycosylation Sites using Machine Learning Approaches, 4th Annual Rocky Mountain Bioinformatics Conference (ROCKY’06), December 1-3, Snowmass, Colorado, 2006.

• [38]Vasile F., Silvescu A., Kang D.-K., and Honavar V., TRIPPER: Rule learning using taxonomies, Proceedings of the Tenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), Singapore, April 9-12, 2006; Lecture Notes in Artificial Intelligence, 2006, Springer-Verlag (to appear). [longer version] 

• [37] Kang D.-K., Silvescu A., and Honavar V., RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification, Proceedings of the Tenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), Singapore, April 9-12, 2006; Lecture Notes in Artificial Intelligence, 2006, Springer-Verlag (to appear).

• [36] Silvescu, A. and Honavar, V. (2006). Independence, Decomposability and functions which take values into an Abelian Group. In: Proceedings of the Ninth International Symposium on Artificial Intelligence and Mathematics (AIMATH 2006). [longer version] [talk]

2005

• [35] Caragea, D., Bao, J., Pathak, J., Silvescu, A., Andorf, C., Dobbs, D., and Honavar, V. (2005). Information Integration from Semantically Heterogeneous Biological Data Sources. In: 3rd Intl. Workshop on Biological Data Management (BIDM-2005), at 16th Intl. Conference on Database and Expert Systems (DEXA-2005).

• [34] Yakhnenko, O., Silvescu, A., and Honavar, V. (2005). Discriminatively Trained Markov Model for Sequence Classification. In: IEEE Conference on Data Mining (ICDM 2005). Houston, Texas. IEEE Press.

• [33] Vasile, F., Silvescu, A., Kang, D-K., and Honavar, V. (2005). TRIPPER: Rule Learning Using Attribute Value Taxonomies. In: AAAI Workshop on Human-Comprehensible Machine Learning. Pittsburgh, PA. [talk]

• [32] Caragea, D., Silvescu, A., Pathak, J., Bao, J., Andorf, C., Dobbs, D., and Honavar, V. (2005). Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. In: Data Integration in Life Sciences (DILS 2005) Springer-Verlag Lecture Notes in Computer Science. San Diego. Vol. 3615. pp. 175-190. Berlin: Springer-Verlag.

• [31] Kang, D-K., Zhang, J., Silvescu, A., and Honavar, V. (2005). Multinomial Event Model Based Abstraction for Sequence and Text Classification. In: Proceedings of the Symposium on Abstraction, Reformulation, and Approximation (SARA 2005). Edinburgh, UK. Vol. 3607. pp. 134-148. Berlin: Springer-Verlag.

• [30] Andorf., C., and Silvescu, A., Dobbs, D. and Honavar, V. (2005). Learning Classifiers for Assigning Protein Sequences to Gene Ontology Functional Families. Annual Meeting of the International Society for Computational Biology (ISMB 2005), Poster Extended Abstract, Detroit, Michigan.

• [29] Caragea, D., Silvescu, A., Pathak, J., Bao, J., Andorf., C., Yan, C., Dobbs, D. and Honavar, V. (2005). Knowledge Acquisition from Autonomous, Distributed, Semantically Heterogeneous Data Sources. Annual Meeting of the International Society for Computational Biology (ISMB 2005), Poster Extended Abstract, Detroit, Michigan.

• [28] Zhang, J., Kang, D-K., Silvescu, A. and Honavar, V. (2005). Learning Compact and Accurate Naive Bayes Classifiers from Attribute Value Taxonomies and Data. In: Knowledge and Information Systems.  

2004

• [27] Silvescu A. (2004). Automated ontology Elicitation and Usage. Thesis Proposal. [slides]

• [26] Silvescu A., and Honavar V. (2004). A Graphical Model for Shallow Parsing Sequences. In: The Proceedings of the AAAI-04 Workshop on Adaptive Text Extraction and Mining (ATEM-2004). July 2004, San Jose CA. [poster]

• [25] Silvescu, A., Andorf, C., Dobbs, D., Honavar, V. (2004). Inter-element dependency models for sequence classification. Technical Report. June 2004.

• [24] Caragea, D., Silvescu, A., and Honavar, V. (2004). A Framework for Learning from Distributed Data Using Sufficient Statistics and its Application to Learning Decision Trees. International Journal of Hybrid Intelligent Systems. Vol. 1, No. 2. Invited Paper.

• [23] Andorf, C., Silvescu, A., Dobbs, D. and Honavar, V. (2004). Learning Classifiers for Assigning Protein Sequences to Gene Ontology Functional Families. In: Fifth International Conference on Knowledge Based Computer Systems (KBCS 2004). India.

• [22] Kang, D.-K., Silvescu, A., Zhang, J. and Honavar, V. (2004). Generation of Attribute Value Taxonomies from Data for Accurate and Compact Classifier Construction. In: IEEE International Conference on Data Mining (ICDM 2004), Brighton, UK, November 1, 2004. [talk]

• [21] Kang, D.-K., Silvescu A., Zhang J., and Honavar V. (2004). Generation of Attribute Value Taxonomies from Data and Their Use in Data-Driven Construction of Accurate and Compact Naive Bayes Classifiers. Proceedings of Knowledge Discovery and Ontologies Workshop at ECML/PKDD 2004 (KDO 2004), Pisa, Italy, September 24, 2004. 

2003

• [20] Silvescu A., and Honavar V. (2003) Ontology Elicitation: Structural Abstraction = Structuring + Abstraction + Multiple Ontologies. Learning Workshop, Snowbird, Utah, April 2003. [poster]

• [19] Caragea, D., Silvescu, A., and Honavar, V. (2003). Decision Tree Induction from Distributed Data Sources. In: Proceedings of the Conference on Intelligent Systems Design and Applications (ISDA '03), August 10-13, 2003, Tulsa, OK, USA.

• [18] Reinoso J., Silvescu, A., Caragea, D., Pathak, J., and Honavar, V. (2003). Information Extraction and Integration from Heterogeneous, Distributed and Autonomous Information Sources - A Federated Ontology-Driven Query-Centric Approach. In: Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, October 27-29, 2003, Las Vegas, NV, USA.

• [17] Caragea, D., Reinoso, J., Silvescu, A. and Honavar, V. (2003). Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. In: Proceedings of the International Workshop on Information Integration on the Web, IJCAI August 9-15, 2003, Acapulco, Mexico.

2002

• [16] Silvescu A., Caragea D., Atramentov A. (2002). Graph Databases. Technical Report. May 2002. [ slides ]

• [15] Zhang, J., Silvescu, A., and Honavar, V. (2002). Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. In: Proceedings of Symposium on Abstraction, Reformulation, and Approximation (SARA 2002). pp. 316-323. Berlin: Springer-Verlag.

2001

• [14] Silvescu, A., and Honavar, V. (2001). Temporal Boolean Network Models of Genetic Networks and Their Inference from Gene Expression Time Series. In: Complex Systems. Vol. 13. No. 1. pp. 54-75.

• [13] Silvescu, A., Reinoso-Castillo, J., Andorf, C., Honavar, V., and Dobbs, D. (2001). Ontology-Driven Information Extraction and Knowledge Acquisition from Heterogeneous, Distributed Biological Data Sources. In: Proceedings of the IJCAI-2001 Workshop on Knowledge Discovery from Heterogeneous, Distributed, Autonomous, Dynamic Data and Knowledge Sources.

• [12] Silvescu, A., and Honavar, V. (2001). Temporal Boolean Network Models of Genetic Networks and Their Inference from Gene Expression Time Series. In: Proceedings of the Atlantic Symposium on Computational Biology, Genome Information Systems & Technology. Durham NC. [slides]

• [11] Caragea, D., Silvescu, A., and Honavar, V. (2001). Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. In: Emerging Neural Architectures Based on Neuroscience. Berlin: Springer-Verlag.

• [10] Silvescu, A., and Honavar, V. (2000). MIgories: an abstract model for interaction. Technical Report TR00-09, Department of Computer Science, Iowa State University.

• [9] Caragea, D., Silvescu, A., and Honavar, V. (2000). Agents that Learn from Distributed Dynamic Data Sources. Proceedings of the Workshop on Learning Agents, Agents 2000/ECML 2000. Stone, P. and Sen, S. (Ed.). June 3, Barcelona, Spain.

• [8] Caragea, D., Silvescu, A., and Honavar, V. (2000). Towards a Theoretical Framework for Analysis and Synthesis of Distributed and Incremental Learning Agents. Proceedings of the Workshop on Distributed and Parallel Knowledge Discovery. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.  August 20, Boston, MA, U.S.A.

• [7] Caragea, D., Silvescu, A., and Honavar, V. (2000). Incremental and Distributed Learning Using Support Vector Machines. Proceedings of the17th National Conference on Artificial Intelligence. Austin, TX., Poster Extended Abstract.

• [6] Caragea, D., Silvescu, A., and Honavar, V. (2000). Multi-Agent Learning from Distributed Data Sources. Proceedings of the Workshop on Multi-Agent learning: Theory and Practice, International Conference on Machine Learning (ICML-2000), Stanford University, Stanford CA.

1999

• [5] Silvescu A., (1999). Fourier Neural Networks. Proceedings of the International Joint Conference on Neural Networks (IJCNN 1999). Washington, DC.

1997

• [4] Silvescu A., (1997). Fuzzy Modeling of Conceptual Spaces. Computational Intelligence, Theory and Applications, International Conference, 5th Fuzzy Days, Dortmund, Germany, April 28-30, 1997.  Lecture Notes in Computer Science (LNCS), 1226, Springer.

• [3] Silvescu A., (1997). Fourier Neural Networks. M.S. Thesis, Computer Science, Faculty of Mathematics and Computer Science, University of Bucharest, Romania. (in romanian). [abstract] [see also [5]]

1996

• [2] Silvescu A., (1996). Formalism and Connectionism. Proceedings of the Second National Conference on Cognitive Science. Cluj, Romania. (in romanian). [abstract]

• [1] Silvescu A., (1996). Automatic Translation with Learning. B.S. Thesis (Diploma), Computer Science, Faculty of Mathematics and Computer Science, University of Bucharest, Romania. (in romanian). [abstract]