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Ackermann, Chris
Aggarwal, Charu
Amantullah, Brian
Ariel, Fuxman
Arredondo, Jaime
Arredondo, Jaime
Arti, Ramesh
Augustine, Eriq
Babaki, Behrouz
Bach, Stephen H.
Bach, Stephen
Barash, Vladimir
Beard, Mitchell
Bengio, Yoshua
Bert, Huang
Bhattacharya, Indrajit
Bhattacharya, Indrajit
Bilgic, Mustafa
Bilgic, Mustafa
Blake, Brian
Blondeel, Marjon
Borgatti, Steve
Boyd-Graber, Jordan
Bradley, Skaggs
Broecheler, Matthias
Broecheler, Matthias
Brownstein, John
Brownstein, John
Butler, Patrick
Cadena, Jose
Carlson, Bjorn
Carstea, Eugene
Chajewska, Ursulza
Chang, Johnnie
Chen, Daozheng
Chen, Yunfei
Chen, Robert
Choi, Jonghyun
Cohen, William
Cook, Diane
Daozheng, Chen
Daume, Hal
David, Jacobs
Davis, Larry
Davis, Larry
De Cock, Martine
Deshpande, Amol
Deshpande, Amol
Dhanya, Sridhar
Diehl, Christopher
Dietterich, Thomas
Djeraba, Chabane
Domingos, Pedro
Dong, Xin Luna
Dong, Luna
Dong, Xin Luna
Doppa, Janardhan
Doyle, Andy
Dzeroski, Saso
Eirinaki, Magdalini
Eliassi-Rad, Tina
Elsayed, Tamer
Embar, Varun
Eric, Norris
Fakhraei, Shobeir
Fakhraei, Shobeir
Faloutsos, Christos
Farnadi, Golnoosh
Fayed, Youssef
Feldman, Ronen
Ford, Jim
Foulds, James
Foulds, James
Friedman, Nir
Friedman, Nir
Friedman, Mark
Fromherz, Markus
Gallagher, Brian
Gazen, Bora C.
Getoor, Lise
Ghosh, Saurav
Ghosh, Saurav
Golbeck, Jennifer
Golbeck, Jennifer
Goldwasser, Dan
Goldwasser, Dan
Grant, John
Grossman, Robert
Grycner, Adam
Grycner, Adam
Guiver, John
Gupta, Dipak
Gupta, Dipak
Haidarian-Shahri, Hamid
Halgin, Daniel
Han, Jiawei
He, Xinran
Healy, Patrick
Holder, Lawrence
Hollis, Victoria
Hossam, Sharara
Huang, Bert
Huang, Bert
Hung, Edward
Hwang, Heasoo
III, Hal Daume
Islamaj, Rezarta
Islamaj, Rezarta
Isley, Steve
Jacobs, David
Jaebong, Yoo
Janet, Mann
Jay, Pujara
Jihie, Kim
Jr., Nick Short
Kang, Jeonhyung
Kang, Hyunmo
Katz, Graham
Katz, Graham
Kayali, Moe
Khamis, Sameh
Khandpur, Rupinder
Kim, Sungchul
Kimmig, Angelika
Kimmig, Angelika
Kini, Nikhil
Knoblock, Craig
Koehly, Laura
Koehly, Laura
Koh, Eunyee
Kok, Stanley
Kolcz, Alek
Koller, Daphne
Koller, Daphne
Korkmaz, Gizem
Kouki, Pigi
Kouki, Pigi
Kuhlman, Christopher
Kumar, Shachi
Kumar, Shachi
Kuter, Ugur
Lansky, Amy
Lauw, Hady
Lavedan, Christian
Lavrac, Nada
Lerman, Kristina
Licamele, Louis
Lilyana, Mihalkova
Lisa, Singh
Liu, Xiangyang
Liu, Huan
Liu, Yan
London, Ben
London, Ben
Lu, Qing
Machanavajjhala, Ashwin
Machanavajjhala, Ashwin
Mack, Kendra
Macskassy, Sofus
Mann, Janet
Marathe, Achla
Marcum, Christopher
Marcum, Christopher
Mares, David
Mares, David
Maulik, Ujjwal
Mekaru, Sumiko
Mekaru, Sumiko
Memory, Alex
Memory, Alex
Miao, Hui
Miao, Hui
Michelson, Matthew
Mihalkova, Lilyana
Milic-Frayling, Natasa
Miller, Renee
Miller, Renee J
Minton, Steve
Minton, Steven
Mitkus, Shruti
Moens, Marie-Francine
Motoda, Hiroshi
Mount, Stephen
Moustafa, Walaa Eldin
Moustafa, Walaa
Moustafa, Walaa
Muggleton, Stephen
Mustafa, Bilgic
Muthiah, Sathappan
Myra, Norton
Namata, Galileo Mark
Namata, Galileo
Namata, Galileo
Navlakha, Saket
Nikolov, Nikola S.
Norman, Joseph
Norton, Myra
Nsoesie, Elaine
Nsoesie, Elaine
Ntoulas, Alexcandros
O'Donovan, John
O'Leary, Dianne
ODonovan, John
Oard, Doug
Odonovan, John
Onukwugha, Eberechukwu
Ottosson, Gregor
Panagiotis, Papadimitriou
Panayiotis, Tsaparas
Parikh, Harsh
Pfeffer, Avi
Pfeffer, Avi
Piatetsky-Shapiro, Gregory
Plangprasopchok, Anon
Polymeropoulos, Mihales
Polyzotis, Neoklis
Pujara, Jay
Pujara, Jay
Ramakrishnan, Naren
Ramakrishnan, Naren
Ramesh, Arti
Ramesh, Arti
Rand, William
Rao, Nikhil S
Raschid, Louiqa
Raschid, Louiqa
Rastegari, Mohammad
Rathod, Priyang
Rekatsinas, Theodoros
Rekatsinas, Theodoros
Rhee, Jeanne
Riloff, Ellen
Rodrigues, Eduarda Mendes
Rodriguez, Mario
Roussopoulos, Nick
Roy, Sudeepa
Saha, Barna
Sahami, Mehran
Salami, Babak
Saraf, Parang
Sarawagi, Sunita
Sayyadi, Hassan
Schaffer, James
Schaffer, James
Scheffer, Tobias
Schmidler, Scott
Schnaitter, Karl
See, Kane
Segal, Eran
Sehgal, Vivek
Self, Nathan
Sen, Prithviraj
Sen, Prithviraj
Shahar, Yuval
Sharara, Hossam
Sharara, Hossam
Shashanka, Madhusudana
Shitian, Shen
Shneiderman, Ben
Singh, Lisa
Sisman, Bunyamin
Skomoroch, Peter
Small, Peter
Smith, Marc
Somasundaran, Swapna
Sopan, Awalin
Springer, Aaron
Sridhar, Dhanya
Srinivasan, Aravind
Srinivasan, Sriram
Srivastava, Ashok
Srivastava, Divesh
Srivastava, Divesh
Staats, Brian
Stephen, Bach
Subbaian, Karthik
Subrahmanian, V. S.
Suciu, Dan
Summers, Kristin
Tadepalli, Prasad
Taskar, Benjamin
Terzi, Evimaria
Thompson, Spencer K.
Ting, Hua
Tom, Yeh
Tomkins, Sabina
Tomkins, Sabina
Trinh, Khoa
Udrea, Octavian
Viechnicki, Peter
Volpi, Simona
Vullikanti, Anil
Walker, Marilyn
Wang, Wei
Wei, Hao
Weikum, Gerhard
Weikum, Gerhard
Welser, Howard
Whittaker, Steve
Wiebe, Janyce
Wilbur, John
Wilbur, John
Yu, Philip
Yu, Jun
Zaki, Mohammed
Zavorin, Ilya
Zhang, Yi
Zhang, Yue
Zhao, Liang
Zhao, Bin
Zheleva, Elena
Zheleva, Elena
desJardins, Marie
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Keyword
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Cognition
Comparative Analysis
Complexity theory
Data engineering
Discussion Forums
First-order probabilistic models
HL-MRFs
Knowledge engineering
LDA
Lifted inference and learning
MOOC
MOOC Discussion Forums
MOOCs
Metadata
Model Comparison
Online Courses
PAC-Bayes
Par-factor graphs
Probabilistic logic
Probabilistic programming
SRL
Schema mapping
Seeded LDA
Socio-behavioral models
Statistical relational learning
Task analysis
Templated graphical models
Uncertain Graphs
Visualizing Uncertainty
anonymity online
bioinformatics gene expression analysis antipsychotic pharmacogenetics
collective classification
collective mapping discovery
data integration
defect
feature generation
functional biological signals
gene expression bioinformatics drug therapeutics
generalization bounds
groups
high school MOOCs
inference mechanisms
influence
latent variable models
learner engagement
learning analytics
learning theory
meta data
online education
optimisation
optimization
potential mappings
privacy
probabilistic modeling
probabilistic reasoning techniques
probabilistic soft logic
probability
professional networks
schema mapping optimization problem
search
sensitive attribute inference
social media
social networks
splice-site
statistical relational language
structured prediction
student learning
tutorial
uncertainty handling
web
Export 35 results:
BibTex
Author
Title
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Year
]
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2019
S. Srinivasan
,
Babaki, B.
,
Farnadi, G.
, and
Getoor, L.
,
“
Lifted Hinge-Loss Markov Random Fields
”
, in
AAAI Conference on Artificial Intelligence (AAAI)
, 2019.
Google Scholar
BibTex
srinivasan-aaai19.pdf
(417.5 KB)
2015
J. Foulds
,
Kumar, S.
, and
Getoor, L.
,
“
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
”
, in
International Conference on Machine Learning (ICML)
, 2015.
Google Scholar
BibTex
Foulds2015LatentTopicNetworks.pdf
(382.53 KB)
A. Kimmig
,
Mihalkova, L.
, and
Getoor, L.
,
“
Lifted graphical models: a survey
”
,
Machine Learning Journal
, vol. 99, pp. 1–45, 2015.
Google Scholar
BibTex
kimmig-mlj15.pdf
(785.58 KB)
2014
A. Ramesh
,
Goldwasser, D.
,
Huang, B.
,
III, H. Daume
, and
Getoor, L.
,
“
Learning Latent Engagement Patterns of Students in Online Courses
”
, in
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence
, 2014.
Google Scholar
BibTex
ramesh-aaai14.pdf
(505.47 KB)
A. Kimmig
,
Mihalkova, L.
, and
Getoor, L.
,
“
Lifted graphical models: a survey
”
,
Machine Learning
, pp. 1-45, 2014.
Google Scholar
BibTex
2013
J. Kang
,
Lerman, K.
, and
Getoor, L.
,
“
LA-LDA: A Limited Attention Topic Model for Social Recommendation
”
, in
The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013)
, 2013.
Google Scholar
BibTex
kang-sbp13.pdf
(622.52 KB)
J. Pujara
,
Miao, H.
,
Getoor, L.
, and
Cohen, W.
,
“
Large-Scale Knowledge Graph Identification using PSL
”
, in
ICML Workshop on Structured Learning (SLG)
, 2013.
Google Scholar
BibTex
pujara_slg13.pdf
(277.63 KB)
J. Pujara
,
Miao, H.
,
Getoor, L.
, and
Cohen, W.
,
“
Large-Scale Knowledge Graph Identification using PSL
”
, in
AAAI Fall Symposium on Semantics for Big Data
, 2013.
Google Scholar
BibTex
pujara_s4bd13.pdf
(306.96 KB)
S. H. Bach
,
Huang, B.
, and
Getoor, L.
,
“
Large-margin Structured Learning for Link Ranking
”
, in
NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications
, 2013.
Google Scholar
BibTex
bach-fna13.pdf
(210.09 KB)
S. H. Bach
,
Huang, B.
, and
Getoor, L.
,
“
Learning Latent Groups with Hinge-loss Markov Random Fields
”
, in
ICML Workshop on Inferning: Interactions between Inference and Learning
, 2013.
Google Scholar
BibTex
bach-inferning13.pdf
(348.79 KB)
2012
J. Pujara
and
Skomoroch, P.
,
“
Large-Scale Hierarchical Topic Models
”
, in
NIPS Workshop on BigLearn
, 2012.
Google Scholar
BibTex
pujara_biglearn12.pdf
(189.96 KB)
T. Rekatsinas
,
Deshpande, A.
, and
Getoor, L.
,
“
Local Structure and Determinism in Probabilistic Databases
”
, in
SIGMOD
, 2012.
Google Scholar
BibTex
rekatsinas-sigmod12.pdf
(490.28 KB)
2011
L. Mihalkova
,
Moustafa, W. Eldin
, and
Getoor, L.
,
“
Learning to Predict Web Collaborations
”
, in
WSDM Workshop on User Modeling for Web Applications
, 2011.
Google Scholar
BibTex
mihalkova-wikiCollabs.pdf
(353.9 KB)
L. Mihalkova
and
Getoor, L.
,
“
Lifted Graphical Models: A Survey
”
. 2011.
Google Scholar
BibTex
1107.4966v2.pdf
(446.54 KB)
2010
J. Doppa
,
Yu, J.
,
Tadepalli, P.
, and
Getoor, L.
,
“
Learning Algorithms for Link Prediction based on Chance Constraints
”
, in
European Conference on Machine Learning (ECML)
, 2010.
Google Scholar
BibTex
doppa-ecml10.pdf
(203 KB)
G. Mark Namata
and
Getoor, L.
,
“
Link Prediction
”
,
Encyclopedia of Machine Learning
, 2010.
Google Scholar
BibTex
2009
M. Bilgic
and
Getoor, L.
,
“
Link-based Active Learning
”
, in
NIPS Workshop on Analyzing Networks and Learning with Graphs
, 2009.
Google Scholar
BibTex
mbilgic-nips09wkshp.pdf
(116.35 KB)
2008
M. Smith
,
Barash, V.
,
Getoor, L.
, and
Lauw, H.
,
“
Leveraging Social Context for Searching Social Media
”
, in
CIKM Workshop on Search in Social Media
, 2008.
Google Scholar
BibTex
2007
O. Udrea
,
Getoor, L.
, and
Miller, R.
,
“
Leveraging Data and Structure in Ontology Integration
”
, in
Proceedings of ACM-SIGMOD 2007 International Conference on Management
, 2007, pp. 449–460.
Google Scholar
BibTex
p449.pdf
(509.48 KB)
P. Sen
and
Getoor, L.
,
“
Link-based Classification
”
. University of Maryland, 2007.
Google Scholar
BibTex
senum-tr07.pdf
(511.11 KB)
2006
I. Bhattacharya
and
Getoor, L.
,
“
A Latent Dirichlet Model for Unsupervised Entity Resolution
”
, in
SIAM Conference on Data Mining (SDM)
, 2006.
Google Scholar
BibTex
bhattacharyasdm06.pdf
(209.24 KB)
2005
L. Getoor
and
Diehl, C.
,
“
Link Mining: A Survey
”
,
SigKDD Explorations Special Issue on Link Mining
, vol. 7, 2005.
Google Scholar
BibTex
L. Getoor
,
Link-based Classification
, 1st ed., vol. 1. Springer-Verlag, 2005, p. 189--207.
Google Scholar
BibTex
getoor-book05.pdf
(273.43 KB)
2003
L. Getoor
,
“
Link Mining: A New Data Mining Challenge
”
,
SIGKDD Explorations, volume
, vol. 5, p. 85- -89, 2003.
Google Scholar
BibTex
Q. Lu
and
Getoor, L.
,
“
Link-based Classification
”
, in
Proceedings of the International Conference on Machine Learning (ICML)
, 2003.
Google Scholar
BibTex
lu-icml03.pdf
(195.81 KB)
Q. Lu
and
Getoor, L.
,
“
Link-based Classification Using Labeled and Unlabeled Data
”
, in
ICML Workshop on "The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining
, 2003.
Google Scholar
BibTex
icml03-ws.pdf
(274.65 KB)
Q. Lu
and
Getoor, L.
,
“
Link-based Text Classification
”
, in
IJCAI Workshop on "Text Mining and Link Analysis"
, 2003.
Google Scholar
BibTex
ijcai03-ws.pdf
(97.25 KB)
2002
L. Getoor
,
Friedman, N.
,
Koller, D.
, and
Taskar, B.
,
“
Learning Probabilistic Models of Link Structure
”
,
Journal of Machine Learning Research
, vol. 3, p. 679- -707, 2002.
Google Scholar
BibTex
jmlr02.pdf
(502.22 KB)
L. Getoor
,
Friedman, N.
, and
Koller, D.
,
“
Learning Structured Statistical Models from Relational Data
”
,
Electronic Transactions on Artificial Intelligence
, vol. 6, 2002.
Google Scholar
BibTex
2001
L. Getoor
,
Friedman, N.
,
Koller, D.
, and
Taskar, B.
,
“
Learning Probabilistic Models of Relational Structure
”
, in
Proceedings of International Conference on Machine Learning (ICML)
, 2001.
Google Scholar
BibTex
icml01.pdf
(157.91 KB)
L. Getoor
,
Friedman, N.
,
Koller, D.
, and
Pfeffer, A.
,
Learning Probabilistic Relational Models
, 1st ed., vol. 1. Springer-Verlag, 2001, p. 307--335.
Google Scholar
BibTex
L. Getoor
,
Friedman, N.
,
Koller, D.
, and
Pfeffer, A.
,
“
Learning Probabilistic Relational Models
”
, in
Relational Data Mining
, 2001.
Google Scholar
BibTex
lprm-ch.pdf
(376 KB)
L. Getoor
,
“
Learning Statistical Models from Relational Data
”
, Stanford, 2001.
Google Scholar
BibTex
getoor-thesis.pdf
(3.39 MB)
2000
L. Getoor
,
Koller, D.
,
Taskar, B.
, and
Friedman, N.
,
“
Learning Probabilistic Relational Models with Structural Uncertainty
”
, in
Proceedings of the AAAI Workshop on Learning Statistical Models from Relational Data
, 2000.
Google Scholar
BibTex
1999
N. Friedman
,
Getoor, L.
,
Koller, D.
, and
Pfeffer, A.
,
“
Learning Probabilistic Relational Models
”
, in
International Joint Conference on Articial Intelligence
, 1999.
Google Scholar
BibTex
icjai99.pdf
(156.94 KB)