BibSLEIGH — Amr

Travelled to:

1 × Australia
1 × Canada
1 × Italy
1 × Spain
1 × Sweden
2 × France
8 × USA

Collaborated with:

A.J.Smola E.P.Xing H.Mohtasseb V.Josifovski D.Cobham S.Bekhet W.W.Cohen M.Aly D.A.Hafeth L.Hong J.Eisenstein J.Zhu A.Q.Li S.Ravi A.AlTadmri R.F.Murphy R.Nallapati N.Du M.Farajtabar L.Song W.Zhang J.Yang A.Das T.Anastasakos Y.Low B.Kanagal S.Pandey J.Yuan L.G.Pueyo M.Li D.G.Andersen J.W.Park J.Long E.J.Shekita B.Su

Talks about:

model (7) topic (4) user (4) behavior (3) applic (3) text (3) commonsens (2) distribut (2) document (2) scalabl (2)

Person: Amr Ahmed

DBLP: Ahmed:Amr

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

Wrote 17 papers:

KDD-2015-DuFASS #clustering #documentation #process: Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams (ND, MF, AA, AJS, LS), pp. 219–228.
KDD-2015-ZhangAYJS #email #information management: Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails (WZ, AA, JY, VJ, AJS), pp. 2257–2266.
ICPR-2014-BekhetA #using #video: Compact Signature-Based Compressed Video Matching Using Dominant Color Profiles (DCP) (SB, AA), pp. 3933–3938.
KDD-2014-LiARS #complexity #modelling #topic: Reducing the sampling complexity of topic models (AQL, AA, SR, AJS), pp. 891–900.
KDIR-2014-HafethAC #analysis #case study #classification: Text Analysis of User-Generated Contents for Health-care Applications — Case Study on Smoking Status Classification (DAH, AA, DC), pp. 242–249.
OSDI-2014-LiAPSAJLSS #distributed #machine learning #parametricity #scalability: Scaling Distributed Machine Learning with the Parameter Server (ML, DGA, JWP, AJS, AA, VJ, JL, EJS, BYS), pp. 583–598.
ICML-c3-2013-AhmedHS #documentation #modelling #process: Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling (AA, LH, AJS), pp. 1426–1434.
KDD-2013-AhmedS #modelling #parametricity #scalability: The dataminer’s guide to scalable mixed-membership and nonparametric bayesian models (AA, AJS), p. 1529.
CIKM-2012-AhmedADSA #behaviour #feature model #multi: Web-scale multi-task feature selection for behavioral targeting (AA, MA, AD, AJS, TA), pp. 1737–1741.
VLDB-2012-KanagalAPJYP #behaviour #learning #recommendation #taxonomy #using: Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior (BK, AA, SP, VJ, JY, LGP), pp. 956–967.
ICML-2011-EisensteinAX #generative #modelling: Sparse Additive Generative Models of Text (JE, AA, EPX), pp. 1041–1048.
KDD-2011-AhmedLAJS #behaviour #distributed #scalability: Scalable distributed inference of dynamic user interests for behavioral targeting (AA, YL, MA, VJ, AJS), pp. 114–122.
KEOD-2011-MohtassebAAC #ontology: PsychoNet 2 — Contextualized and Enriched Psycholinguistic Commonsense Ontology (HM, AA, AA, DC), pp. 339–343.
KEOD-2010-MohtassebA #named #ontology: PsychoNet — A Psycholinguistc Commonsense Ontology (HM, AA), pp. 159–164.
ICML-2009-ZhuAX #classification #modelling #named #topic: MedLDA: maximum margin supervised topic models for regression and classification (JZ, AA, EPX), pp. 1257–1264.
KDD-2009-AhmedXCM #biology #mining #modelling #topic: Structured correspondence topic models for mining captioned figures in biological literature (AA, EPX, WWC, RFM), pp. 39–48.
KDD-2008-NallapatiAXC #modelling #topic: Joint latent topic models for text and citations (RN, AA, EPX, WWC), pp. 542–550.