BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Canada
1 × Italy
1 × Switzerland
4 × Germany
Collaborated with:
M.Ceci D.Malerba C.Loglisci N.Barile S.Rawles P.A.Flach P.Guccione A.Ciampi A.Muolo H.L.Viktor E.Paquet H.Guo C.Caruso F.Fumarola C.Valente
Talks about:
relat (4) transduct (3) data (3) regress (2) train (2) learn (2) mine (2) everywher (1) paradigm (1) interpol (1)

Person: Annalisa Appice

DBLP DBLP: Appice:Annalisa

Contributed to:

MLDM 20122012
SAC 20122012
SAC 20102010
MLDM 20092009
MLDM 20072007
ICML 20042004
MLDM 20032003

Wrote 8 papers:

MLDM-2012-CeciAVMPG #classification #paradigm #relational
Transductive Relational Classification in the Co-training Paradigm (MC, AA, HLV, DM, EP, HG), pp. 11–25.
SAC-2012-GuccioneCAMM #clustering #network
Trend cluster based interpolation everywhere in a sensor network (PG, AC, AA, DM, AM), pp. 827–828.
SAC-2010-AppiceCM #learning
Transductive learning for spatial regression with co-training (AA, MC, DM), pp. 1065–1070.
SAC-2010-CeciALM #approach #data mining #mining #ranking #relational
Complex objects ranking: a relational data mining approach (MC, AA, CL, DM), pp. 1071–1077.
MLDM-2009-CeciALCFVM #data type #detection #mining #relational
Relational Frequent Patterns Mining for Novelty Detection from Data Streams (MC, AA, CL, CC, FF, CV, DM), pp. 427–439.
MLDM-2007-CeciABM #learning #relational
Transductive Learning from Relational Data (MC, AA, NB, DM), pp. 324–338.
ICML-2004-AppiceCRF #multi #problem
Redundant feature elimination for multi-class problems (AA, MC, SR, PAF).
Simplification Methods for Model Trees with Regression and Splitting Nodes (MC, AA, DM), pp. 20–34.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.