Travelled to:
1 × Australia
1 × China
1 × Finland
1 × Germany
1 × Portugal
1 × Singapore
1 × Spain
1 × Switzerland
1 × The Netherlands
1 × United Kingdom
2 × France
3 × USA
Collaborated with:
P.Gallinari N.Usunier C.Goutte T.Truong L.Ralaivola Y.Kim É.Gaussier J.Pessiot M.Kovesi H.Zaragoza R.Babbar I.Partalas A.Krithara J.Renders P.Goswami S.Moura F.Maes A.Tombros M.Lalmas S.Tollari M.Detyniecki C.Marsala A.Fakeri-Tabrizi
Talks about:
document (6) learn (6) rank (5) summar (4) text (4) base (4) multilingu (3) algorithm (3) cluster (3) automat (3)
Person: Massih-Reza Amini
DBLP: Amini:Massih=Reza
Contributed to:
Wrote 17 papers:
- ICML-2015-RalaivolaA
- Entropy-Based Concentration Inequalities for Dependent Variables (LR, MRA), pp. 2436–2444.
- ECIR-2014-GoswamiMGAM #information retrieval
- Exploring the Space of IR Functions (PG, SM, ÉG, MRA, FM), pp. 372–384.
- SIGIR-2014-BabbarPGA #approach #classification #distributed #ranking #scalability
- Re-ranking approach to classification in large-scale power-law distributed category systems (RB, IP, ÉG, MRA), pp. 1059–1062.
- SIGIR-2012-KovesiGA #categorisation #learning #multi #online #performance
- Fast on-line learning for multilingual categorization (MK, CG, MRA), pp. 1071–1072.
- SIGIR-2011-AminiU #automation #detection #learning #multi #summary
- Transductive learning over automatically detected themes for multi-document summarization (MRA, NU), pp. 1193–1194.
- SIGIR-2010-AminiGU #categorisation #multi #self
- Combining coregularization and consensus-based self-training for multilingual text categorization (MRA, CG, NU), pp. 475–482.
- SIGIR-2010-KimAGG #clustering #documentation #multi
- Multi-view clustering of multilingual documents (YMK, MRA, CG, PG), pp. 821–822.
- ECIR-2009-TollariDMFAG #concept #image #retrieval #visual notation
- Exploiting Visual Concepts to Improve Text-Based Image Retrieval (ST, MD, CM, AFT, MRA, PG), pp. 701–705.
- SIGIR-2009-AminiU #algorithm #information management #multi #ranking #summary
- Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization (MRA, NU), pp. 704–705.
- CIKM-2008-KimPAG #clustering #documentation
- An extension of PLSA for document clustering (YMK, JFP, MRA, PG), pp. 1345–1346.
- ECIR-2008-KritharaARG #classification #documentation #fault
- Semi-supervised Document Classification with a Mislabeling Error Model (AK, MRA, JMR, CG), pp. 370–381.
- SIGIR-2008-AminiTG #algorithm #learning #ranking
- A boosting algorithm for learning bipartite ranking functions with partially labeled data (MRA, TVT, CG), pp. 99–106.
- ICEIS-AIDSS-2007-PessiotTUAG #collaboration #learning #rank
- Learning to Rank for Collaborative Filtering (JFP, TVT, NU, MRA, PG), pp. 145–151.
- CIKM-2005-AminiTULG #documentation #learning #using #xml
- Learning to summarise XML documents using content and structure (MRA, AT, NU, ML, PG), pp. 297–298.
- ECIR-2005-AminiUG #algorithm #automation #clustering #ranking #summary
- Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms (MRA, NU, PG), pp. 142–156.
- SIGIR-2002-AminiG #learning #summary #using
- The use of unlabeled data to improve supervised learning for text summarization (MRA, PG), pp. 105–112.
- ACIR-1999-AminiZG #automation #information management #modelling #sequence
- Sequence Models for Automatic Highlighting and Surface Information Extraction (MRA, HZ, PG).