Travelled to:
1 × Belgium
1 × Brazil
1 × China
1 × France
1 × India
1 × Japan
1 × Switzerland
1 × The Netherlands
1 × United Kingdom
2 × Korea
2 × Spain
3 × Germany
3 × Portugal
4 × Italy
7 × USA
Collaborated with:
S.Ferilli D.Malerba N.Fanizzi G.Semeraro C.d'Amato T.M.A.Basile N.D.Mauro D.Redavid O.Altamura M.Biba F.A.Lisi ∅ M.Ceci M.Berardi L.Iannone D.Grieco B.D.Carolis P.Minervini O.Licchelli P.Lops A.Lanza G.Bombini M.F.Costabile C.D.Antifora G.d.Gennaro C.Brunk M.J.Pazzani B.Fazzinga G.Gottlob T.Lukasiewicz
Talks about:
learn (12) document (11) logic (7) techniqu (6) machin (6) induct (6) base (6) semant (5) layout (5) program (4)
Person: Floriana Esposito
DBLP: Esposito:Floriana
Contributed to:
Wrote 39 papers:
- DocEng-2014-FerilliGRE #detection #order
- Abstract argumentation for reading order detection (SF, DG, DR, FE), pp. 45–48.
- KEOD-2014-RedavidFCE #guidelines
- Guidelines and Tool for Meaningful OWL-S Services Annotations (DR, SF, BDC, FE), pp. 130–137.
- DocEng-2013-Esposito #documentation #machine learning
- Symbolic machine learning methods for historical document processing (FE), pp. 1–2.
- DocEng-2013-FerilliER #documentation #html #multi
- Hi-Fi HTML rendering of multi-format documents in DoMinUS (SF, FE, DR), pp. 173–176.
- ICDAR-2013-MauroEF #web
- Finding Critical Cells in Web Tables with SRL: Trying to Uncover the Devil’s Tease (NDM, FE, SF), pp. 882–886.
- SAC-2013-MinerviniFdE #predict #rank #semantics
- Rank prediction for semantically annotated resources (PM, NF, Cd, FE), pp. 333–338.
- ICDAR-2011-FerilliBEB #recognition
- A Contour-Based Progressive Technique for Shape Recognition (SF, TMAB, FE, MB), pp. 723–727.
- KEOD-2010-RedavidEI #case study #comparative #distributed #framework #perspective #semantics #web #web service
- A Comparative Study on Semantic Web Services Frameworks from the Dynamic Orchestration Perspective (DR, FE, LI), pp. 355–359.
- SAC-2010-EspositoFd #nondeterminism #validation
- Recovering uncertain mappings through structural validation and aggregation with the MoTo system (FE, NF, Cd), pp. 1428–1432.
- SAC-2010-FanizzidE #induction #towards
- Towards the induction of terminological decision trees (NF, Cd, FE), pp. 1423–1427.
- SAC-2010-dAmatoEFFGL #induction #reasoning #semantics #web
- Inductive reasoning and semantic web search (Cd, FE, NF, BF, GG, TL), pp. 1446–1447.
- ICDAR-2009-FerilliBEB #analysis #layout
- A Distance-Based Technique for Non-Manhattan Layout Analysis (SF, MB, FE, TMAB), pp. 231–235.
- ICEIS-AIDSS-2009-BombiniMBFE #framework #learning #logic programming
- A Logic Programming Framework for Learning by Imitation (GB, NDM, TMAB, SF, FE), pp. 218–223.
- ICPR-2008-FerilliBBE #comprehension #documentation #incremental #layout #machine learning
- Incremental machine learning techniques for document layout understanding (SF, MB, TMAB, FE), pp. 1–4.
- CIKM-2007-FanizzidE #clustering #concept #induction #knowledge base #metric #random #semantics
- Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases (NF, Cd, FE), pp. 51–60.
- ICDAR-2007-EspositoFMB #automation #documentation #first-order #incremental #learning #logic #web
- Incremental Learning of First Order Logic Theories for the Automatic Annotations of Web Documents (FE, SF, NDM, TMAB), pp. 1093–1097.
- SAC-2007-FanizzidE #retrieval
- Instance-based retrieval by analogy (NF, Cd, FE), pp. 1398–1402.
- SAC-2006-dAmatoFE #concept #difference
- A dissimilarity measure for ALC concept descriptions (Cd, NF, FE), pp. 1695–1699.
- ICDAR-2005-EspositoFBM #documentation
- Intelligent Document Processing (FE, SF, TMAB, NDM), pp. 1100–1104.
- ICEIS-v5-2004-EspositoLLS #education #library #personalisation
- Personalizing Digital Libraries for Education (FE, OL, PL, GS), pp. 279–284.
- ECDL-2003-FerilliEBM #automation #classification #induction
- Automatic Induction of Rules for Classification and Interpretation of Cultural Heritage Material (SF, FE, TMAB, NDM), pp. 152–163.
- ICDAR-2003-MalerbaEACB #approach #documentation #layout #machine learning
- Correcting the Document Layout: A Machine Learning Approach (DM, FE, OA, MC, MB), p. 97–?.
- ICML-2003-BerardiCEM #analysis #layout #learning #logic programming #source code
- Learning Logic Programs for Layout Analysis Correction (MB, MC, FE, DM), pp. 27–34.
- ECDL-2001-SemeraroFFE #classification #documentation #modelling
- Document Classification and Interpretation through the Inference of Logic-Based Models (GS, SF, NF, FE), pp. 59–70.
- ICDAR-2001-MalerbaELA #automation #component #comprehension #dependence #documentation #image #logic
- Automated Discovery of Dependencies Between Logical Components in Document Image Understanding (DM, FE, FAL, OA), pp. 174–178.
- MLDM-2001-MalerbaELL #first-order #induction #recognition
- First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps (DM, FE, AL, FAL), pp. 88–101.
- ECDL-2000-SemeraroEFF #interactive #learning #library #profiling #tool support
- Interaction Profiling in Digital Libraries through Learning Tools (GS, FE, NF, SF), pp. 229–238.
- ICML-2000-EspositoFFS #refinement
- Ideal Theory Refinement under Object Identity (FE, NF, SF, GS), pp. 263–270.
- ICDAR-1999-AltamuraEM #adaptation #analysis #documentation #interactive
- WISDOM++: An Interactive and Adaptive Document Analysis System (OA, FE, DM), pp. 366–369.
- MLDM-1999-AltamuraELM #documentation #learning
- Symbolic Learning Techniques in Paper Document Processing (OA, FE, FAL, DM), pp. 159–173.
- ECDL-1998-CostabileESFF #adaptation #interface #visual notation
- Interacting With IDL: The Adaptive Visual Interface (MFC, FE, GS, NF, SF), pp. 515–534.
- ECDL-1997-SemeraroEMFF #library #machine learning #online
- Machine Learning + On-line Libraries = IDL (GS, FE, DM, NF, SF), pp. 195–214.
- ICDAR-1997-EspositoMSAG #library #machine learning #semantics
- Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques (FE, DM, GS, CDA, GdG), pp. 722–727.
- LOPSTR-1997-SemeraroEMFF #datalog #framework #incremental #induction #logic #synthesis
- A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories (GS, FE, DM, NF, SF), pp. 300–321.
- ICDAR-v1-1995-EspositoMS #analysis #approach #knowledge-based #layout
- A knowledge-based approach to the layout analysis (FE, DM, GS), pp. 466–471.
- LOPSTR-1995-SemeraroEM #datalog #refinement #source code
- Ideal Refinement of Datalog Programs (GS, FE, DM), pp. 120–136.
- LOPSTR-1994-SemeraroEMBP #case study #learning #logic #source code
- Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL (GS, FE, DM, CB, MJP), pp. 183–198.
- ICDAR-1993-EspositoMS #automation #comprehension #documentation
- Automated acquisition of rules for document understanding (FE, DM, GS), pp. 650–654.
- SEKE-1993-EspositoMS #information management #machine learning #refinement
- Machine Learning Techniques for Knowledge Acquisition and Refinement (FE, DM, GS), pp. 319–323.