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IJCNN
2006
IEEE
15 years 6 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
ICAIL
2007
ACM
15 years 4 months ago
The Legal-RDF Ontology. A Generic Model for Legal Documents
Legal-RDF.org1 publishes a practical ontology that models both the layout and content of a document and metadata about the document; these have been built using data models implici...
John McClure
121
Voted
BMCBI
2010
126views more  BMCBI 2010»
15 years 20 days ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
93
Voted
BMCBI
2010
183views more  BMCBI 2010»
15 years 20 days ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
87
Voted
BMCBI
2010
105views more  BMCBI 2010»
15 years 20 days ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson