Travelled to:
1 × Austria
1 × Canada
1 × China
1 × India
1 × Japan
1 × Spain
1 × Sweden
1 × Turkey
1 × USA
3 × United Kingdom
Collaborated with:
A.Marcelli A.D.Cioppa A.S.d.Freca L.P.Cordella F.Fontanella C.D'Elia F.Tortorella M.Vento M.Garruto A.Santoro P.Foggia C.Marrocco
Talks about:
classifi (4) algorithm (3) reliabl (3) combin (3) learn (3) dynam (3) evolutionari (2) handwritten (2) handwrit (2) approach (2)
Person: Claudio De Stefano
DBLP: Stefano:Claudio_De
Contributed to:
Wrote 13 papers:
- ICPR-2014-CordellaSFF #classification #random #reliability
- Random Forest for Reliable Pre-classification of Handwritten Characters (LPC, CDS, FF, ASdF), pp. 1319–1324.
- ICPR-2010-CordellaSFMF #classification #performance
- Combining Single Class Features for Improving Performance of a Two Stage Classifier (LPC, CDS, FF, CM, ASdF), pp. 4352–4355.
- ICPR-2010-CordellaSMS #graph #order #traversal
- Writing Order Recovery from Off-Line Handwriting by Graph Traversal (LPC, CDS, AM, AS), pp. 1896–1899.
- ICDAR-2009-StefanoFFM #classification #evolution #learning #network
- Learning Bayesian Networks by Evolution for Classifier Combination (CDS, FF, ASdF, AM), pp. 966–970.
- ICPR-v2-2006-StefanoDMF #learning
- Improving Dynamic Learning Vector Quantization (CDS, CD, AM, ASdF), pp. 804–807.
- ICPR-v2-2004-StefanoGM #approach #feature model #multi #online #segmentation
- A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction (CDS, MG, AM), pp. 614–617.
- ICPR-v4-2004-StefanoDM #approach #learning
- A Dynamic Approach to Learning Vector Quantization (CDS, CD, AM), pp. 601–604.
- ICDAR-2003-StefanoCM #algorithm #classification #reliability #search-based
- Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms (CDS, ADC, AM), pp. 671–675.
- ICPR-v2-2002-StefanoCM #adaptation #classification #multi
- An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers (CDS, ADC, AM), pp. 192–195.
- ICDAR-2001-StefanoCM #algorithm #segmentation
- An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms (CDS, ADC, AM), pp. 952–956.
- ICDAR-1999-StefanoCM #algorithm #recognition
- Handwritten Numeral Recognition by means of Evolutionary Algorithms (CDS, ADC, AM), pp. 804–807.
- ICPR-1996-StefanoFTV #distance #using
- A distance measure for structural descriptions using circular arcs as primitives (CDS, PF, FT, MV), pp. 290–294.
- ICDAR-1993-StefanoTV #reliability #using
- Using entropy for drawing reliable templates (CDS, FT, MV), pp. 345–348.