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Ackermann, Chris
Aggarwal, Charu
Amantullah, Brian
Arredondo, Jaime
Augustine, Eriq
Augustine*, Eriq
Babaki, Behrouz
Babaki, Behrouz
Bach, Stephen H.
Barash, Vladimir
Beard, Mitchell
Bengio, Yoshua
Bhattacharya, Indrajit
Bilgic, Mustafa
Blake, Brian
Blondeel, Marjon
Borgatti, Steve
Boyd-Graber, Jordan
Bradley, Skaggs
Broecheler, Matthias
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, D.
Daume-III, Hal
Davis, Larry
De Cock, Martine
Deshpande, Amol
Diehl, Christopher
Dietterich, Thomas
Djeraba, Chabane
Domingos, Pedro
Dong, Xin Luna
Doppa, Janardhan
Doyle, Andy
Dzeroski, S.
Eirinaki, Magdalini
Eliassi-Rad, Tina
Elsayed, Tamer
Embar, Varun
Fakhraei, Shobeir
Faloutsos, Christos
Farnadi, Golnoosh
Farnadi, Golnoosh
Fayed, Youssef
Feldman, Ronen
Ford, Jim
Foulds, James
Friedman, Nir
Friedman, Mark
Fromherz, Markus
Fuxman, Ariel
Gallagher, Brian
Gazen, Bora C.
Getoor, Lise
Getoor, Lise
Ghosh, Saurav
Golbeck, Jennifer
Goldwasser, Dan
Grant, John
Grossman, Robert
Grycner, Adam
Guiver, John
Gupta, Dipak
Haidarian-Shahri, Hamid
Halgin, Daniel
He, Xinran
Healy, Patrick
Holder, L.
Hollis, Victoria
Huang, Bert
Hung, Edward
Hwang, Heasoo
III, Hal Daume
Islamaj, Rezarta
Isley, Steve
Jacobs, David
Jr., Nick Short
Kang, Jeonhyung
Kang, Hyunmo
Katz, Graham
Khamis, Sameh
Khandpur, Rupinder
Kim, Jihie
Kim, Sungchul
Kimmig, Angelika
Kimmig, Angelika
Kini, Nikhil
Knoblock, Craig
Koehly, Laura
Koh, Eunyee
Kok, Stanley
Kolcz, Alek
Koller, Daphne
Korkmaz, Gizem
Kouki, Pigi
Kouki, Pigi
Kuhlman, Christopher
Kumar, Shachi
Kuter, Ugur
Lansky, Amy
Lauw, Hady
Lavedan, Christian
Lavrac, N.
Lerman, Kristina
Licamele, Louis
Liu, Xiangyang
Liu, Huan
Liu, Yan
London, Ben
Lu, Qing
Machanavajjhala, Ashwin
Mack, Kendra
Macskassy, Sofus
Mann, Janet
Marathe, Achla
Marcum, Christopher
Mares, David
Maulik, U.
Mekaru, Sumiko
Memory, Alex
Memory, Alex
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
Muggleton, Stephen
Muthiah, Sathappan
Namata, Galileo Mark
Navlakha, Saket
Nikolov, Nikola S.
Norman, Joseph
Norris, Eric
Norton, Myra
Nsoesie, Elaine
Ntoulas, Alexcandros
O'Leary, Dianne P.
ODonovan, John
Oard, Doug
Onukwugha, Eberechukwu
Ottosson, Gregor
Papadimitriou, Panagiotis
Pfeffer, Avi
Piatetsky-Shapiro, Gregory
Plangprasopchok, Anon
Polymeropoulos, Mihales
Polyzotis, Neoklis
Pujara, Jay
Pujara, Jay
Pujra, Jay
Ramakrishnan, Naren
Ramesh, Arti
Ramesh, Arti
Rand, William
Rao, Nikhil S
Raschid, Louiqa
Rastegari, Mohammad
Rathod, Priyang
Reddy, Charu C. Aggarwa
Rekatsinas, Theodoros
Rhee, Jeanne
Riloff, Ellen
Rodrigues, Eduarda Mendes
Rodriguez, Mario
Roussopoulos, Nick
Saha, Barna
Sahami, Mehran
Saraf, Parang
Sarawagi, Sunita
Sayyadi, Hassan
Schaffer, James
Scheffer, Tobias
Schmidler, Scott
Schnaitter, Karl
See, Kane
Segal, Eran
Sehgal, Vivek
Self, Nathan
Sen, Prithviraj
Shahar, Yuval
Sharara, Hossam
Shashanka, Madhusudana
Shen, Shitian
Shneiderman, Ben
Singh, Lisa
Skomoroch, Peter
Small, Peter
Smith, Marc
Somasundaran, Swapna
Sopan, Awalin
Springer, Aaron
Sridhar, Dhanya
Srinivasan, Aravind
Srinivasan, Sriram
Srinivasan*, Sriram
Srivastava, Ashok
Srivastava, Divesh
Staats, Brian
Subbaian, Karthik
Subrahmanian, V. S.
Summers, Kristin
Tadepalli, Prasad
Taskar, Benjamin
Terzi, Evimaria
Thompson, Spencer K.
Ting, Hua
Tomkins, Sabina
Trinh, Khoa
Tsaparas, Panayiotis
Udrea, Octavian
Viechnicki, Peter
Volpi, Simona
Vullikanti, Anil
Walker, Marilyn
Wang, Wei
Weikum, Gerhard
Welser, Howard
Whittaker, Steve
Wiebe, Janyce
Wilbur, John
Yeh, Tom
Yoo, Jaebong
Yu, Jiawei Han Philip
Yu, Jun
Zaki, Mohammed
Zavorin, Ilya
Zhang, Yi
Zhang, Yue
Zhao, Liang
Zhao, Bin
Zheleva, Elena
desJardins, Marie
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Conference Paper
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Book Chapter
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Year
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2020
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2003
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Keyword
any
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 316 results:
BibTex
Author
Title
[
Year
]
2008
Saha, B.
&
Getoor, L.
Group Proximity Measure for Recommending Groups in Online Social Networks
.
2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD)
(2008).
Google Scholar
BibTex
kddw-saha.pdf
(311.36 KB)
Kang, H.
,
Getoor, L.
,
Shneiderman, B.
,
Bilgic, M.
&
Licamele, L.
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation
.
IEEE Transactions on Visualization and Computer Graphics
14,
999–1014 (2008).
Google Scholar
BibTex
kang-tvcg08.pdf
(3.63 MB)
Smith, M.
,
Barash, V.
,
Getoor, L.
&
Lauw, H.
Leveraging Social Context for Searching Social Media
.
CIKM Workshop on Search in Social Media
(2008).
Google Scholar
BibTex
Elsayed, T.
,
Oard, D.
,
Namata, G. Mark
&
Getoor, L.
Personal Name Resolution in Email: A Heuristic Approach
. (2008).
Google Scholar
BibTex
LAMP_150.pdf
(397.61 KB)
Zheleva, E.
&
Getoor, L.
Preserving the Privacy of Sensitive Relationships in Graph Data
.
Proceedings of the First SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007)
4890,
153-171 (Springer, 2008).
Google Scholar
BibTex
Elsayed, T.
,
Oard, D.
&
Namata, G. Mark
.
Resolving Personal Names in Email Using Context Expansion
.
46th Annual Meeting of the Association of Computational Linguistics
265–268 (2008).
Google Scholar
BibTex
elsayed-acl08.pdf
(294.84 KB)
Dietterich, T.
,
Domingos, P.
,
Getoor, L.
,
Muggleton, S.
&
Tadepalli, P.
Structured machine learning: the next ten years
.
Machine Learning
73,
3–23 (2008).
Google Scholar
BibTex
Zheleva, E.
,
Kolcz, A.
&
Getoor, L.
Trusting Spam Reporters: A Reporter-based Reputation System for Email Filtering
.
ACM Transactions on Information Systems
27,
(2008).
Google Scholar
BibTex
zheleva-tois08.pdf
(447.31 KB)
Zheleva, E.
,
Getoor, L.
,
Golbeck, J.
&
Kuter, U.
Using Friendship Ties and Family Circles for Link Prediction
.
2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD)
(2008).
Google Scholar
BibTex
zheleva-snakdd08.pdf
(656.31 KB)
2009
Sen, P.
,
Deshpande, A.
&
Getoor, L.
Bisimulation-based Approximate Lifted Inference
.
Uncertainty in Artificial Intelligence
(2009).
Google Scholar
BibTex
uai09.pdf
(240.89 KB)
Doppa, J.
,
Yu, J.
,
Tadepalli, P.
&
Getoor, L.
Chance-Constrained Programs for Link Prediction
.
NIPS Workshop on Analyzing Networks and Learning with Graphs
(2009).
Google Scholar
BibTex
doppa-nips09wkshp.pdf
(161.38 KB)
Zheleva, E.
,
Sharara, H.
&
Getoor, L.
Co-evolution of Social and Affiliation Networks
.
15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
(2009).
Google Scholar
BibTex
fp659-zheleva.pdf
(900 KB)
Namata, G. Mark
,
Sen, P.
,
Bilgic, M.
&
Getoor, L.
Text Mining: Classification, Clustering, and Applications
(
Sahami, M.
&
Srivastava, A.
) (Taylor and Francis Group, 2009).
Google Scholar
BibTex
Polymeropoulos, M.
et al.
Common effect of antipsychotics on the biosynthesis and regulation of fatty acids and cholesterol supports a key role of lipid homeostasis in schizophrenia.
Schizophrenia Research
(2009).
Google Scholar
BibTex
Barash, V.
,
Smith, M.
,
Getoor, L.
&
Welser, H.
Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context
.
International Conference on Weblogs and Social Media
(2009).
Google Scholar
BibTex
barash-icwsm09.pdf
(171.16 KB)
Sharara, H.
,
Singh, L.
,
Getoor, L.
&
Mann, J.
The Dynamics of Actor Loyalty to Groups in Affiliation Networks
.
International Conference on Advances in Social Networks Analysis and Mining
(2009).
Google Scholar
BibTex
sharara_asonam09.pdf
(446.61 KB)
Chen, D.
,
Bilgic, M.
,
Getoor, L.
&
Jacobs, D.
Efficient Resource-constrained Retrospective Analysis of Long Video Sequences
.
NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications
(2009).
Google Scholar
BibTex
chen-nips09-wkshp.pdf
(383.38 KB)
Sayyadi, H.
&
Getoor, L.
Future Rank: Ranking Scientific Articles by Predicting their Future PageRank
.
2009 SIAM International Conference on Data Mining (SDM09)
(2009).
Google Scholar
BibTex
sayyadi_futureRank_sdm09.pdf
(621.55 KB)
Deshpande, A.
,
Getoor, L.
&
Sen, P.
Managing and Mining Uncertain Data
(
Aggarwal, C.
) (Springer, 2009).
Google Scholar
BibTex
pgm-chapter.pdf
(570.7 KB)
Namata, G. Mark
&
Getoor, L.
Identifying Graphs From Noisy and Incomplete Data
.
1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
(2009).
Google Scholar
BibTex
namatag-kddu09.pdf
(241.7 KB)
Schnaitter, K.
,
Polyzotis, N.
&
Getoor, L.
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications
.
International Conference on Very Large Data Bases
(2009).
Google Scholar
BibTex
schnaitter-vldb09.pdf
(743.29 KB)
Bilgic, M.
&
Getoor, L.
Link-based Active Learning
.
NIPS Workshop on Analyzing Networks and Learning with Graphs
(2009).
Google Scholar
BibTex
mbilgic-nips09wkshp.pdf
(116.35 KB)
Saha, B.
&
Getoor, L.
On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch
.
2009 SIAM International Conference on Data Mining (SDM09)
(2009).
Google Scholar
BibTex
saha-sdm08.pdf
(233.12 KB)
Somasundaran, S.
,
Namata, G. Mark
,
Getoor, L.
&
Wiebe, J.
Opinion Graphs for Polarity and Discourse Classification
.
TextGraphs-4: Graph-based Methods for Natural Language Processing
(2009).
Google Scholar
BibTex
somasundaran-textgraphs09.pdf
(289.75 KB)
Namata, G. Mark
&
Getoor, L.
A Pipeline Approach to Graph Identification
.
Seventh International Workshop on Mining and Learning with Graphs
(2009).
Google Scholar
BibTex
namatag-mlg09.pdf
(93.77 KB)
Sen, P.
,
Deshpande, A.
&
Getoor, L.
PrDB: Managing and Exploiting Rich Correlations in Probabilistic Databases
.
VLDB Journal, special issue on uncertain and probabilistic databases
(2009).
Google Scholar
BibTex
sen-vldbj09.pdf
(1.12 MB)
Broecheler, M.
&
Getoor, L.
Probabilistic Similarity Logic
.
International Workshop on Statistical Relational Learning (SRL'09)
(2009).
Google Scholar
BibTex
broecheler-srl09.pdf
(176.13 KB)
Bilgic, M.
&
Getoor, L.
Reflect and Correct: A Misclassification Prediction Approach to Active Inference
.
ACM Transactions on Knowledge Discovery from Data
3,
1–32 (2009).
Google Scholar
BibTex
bilgic-tkdd09.pdf
(3.66 MB)
Sen, P.
Representing and Querying Uncertain Data
. (2009).
Google Scholar
BibTex
thesis.pdf
(1.12 MB)
Somasundaran, S.
,
Namata, G. Mark
,
Wiebe, J.
&
Getoor, L.
Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification
.
Conference on Empirical Methods in Natural Language Processing
(2009).
Google Scholar
BibTex
somasundaran-emnlp09.pdf
(390.93 KB)
Zheleva, E.
&
Getoor, L.
To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles
.
18th International World Wide Web conference (WWW)
(2009).
Google Scholar
BibTex
fp660-zheleva.pdf
(538.92 KB)
Zheleva, E.
&
Getoor, L.
To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles
.
The Web Conference (WWW)
(University of Maryland, 2009).
Google Scholar
BibTex
zheleva-cs-tr4926.pdf
(366.68 KB)
2010
Bilgic, M.
&
Getoor, L.
Active Inference for Collective Classification
.
Twenty-Fourth Conference on Artificial Intelligence (AAAI NECTAR Track)
1652–1655 (2010).
Google Scholar
BibTex
bilgic-aaai10.pdf
(387.53 KB)
Sharara, H.
,
Getoor, L.
&
Norton, M.
An Active Learning Approach for Identifying Key Opinion Leaders
.
The 2nd Workshop on Information in Networks (WIN)
(2010).
Google Scholar
BibTex
Bilgic, M.
,
Mihalkova, L.
&
Getoor, L.
Active Learning for Networked Data
.
Proceedings of the 27th International Conference on Machine Learning (ICML-10)
(2010).
Google Scholar
BibTex
bilgic-icml10.pdf
(515.65 KB)
Sharara, H.
,
Getoor, L.
&
Norton, M.
Active Surveying
.
NIPS Workshop on Networks Across Disciplines in Theory and Applications
(2010).
Google Scholar
BibTex
Sharara, H.
,
Norton, M.
&
Getoor, L.
Active Surveying for Leadership Identification
.
The International Sunbelt Social Networks Conference XXX
(2010).
Google Scholar
BibTex
Pujara, J.
&
Getoor, L.
Coarse-to-Fine, Cost-Sensitive Classification of E-Mail
.
NIPS Workshop on Coarse-to-Fine Processing
(2010).
Google Scholar
BibTex
pujara_nips10.pdf
(258.86 KB)
Sen, P.
,
Namata, G. Mark
,
Bilgic, M.
&
Getoor, L.
Collective Classification
.
Encyclopedia of Machine Learning
(2010).
Google Scholar
BibTex
Broecheler, M.
&
Getoor, L.
Computing marginal distributions over continuous Markov networks for statistical relational learning
.
Advances in Neural Information Processing Systems (NIPS)
(2010).
Google Scholar
BibTex
broecheler-nips10.pdf
(382.51 KB)
Bach, S. H.
,
Broecheler, M.
,
Kok, S.
&
Getoor, L.
Decision-Driven Models with Probabilistic Soft Logic
.
NIPS Workshop on Predictive Models in Personalized Medicine
(2010).
Google Scholar
BibTex
bach-pmpm10.pdf
(246.79 KB)
Sharara, H.
&
Getoor, L.
Group Detection
.
Encyclopedia of Machine Learning
(2010).
Google Scholar
BibTex
Plangprasopchok, A.
,
Lerman, K.
&
Getoor, L.
Growing a tree in the forest: constructing folksonomies by integrating structured metadata
.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(2010).
Google Scholar
BibTex
plang-kdd10.pdf
(705.71 KB)
Zheleva, E.
,
Getoor, L.
&
Sarawagi, S.
Higher-order Graphical Models for Classification in Social and Affiliation Networks
.
NIPS Workshop on Networks Across Disciplines: Theory and Applications
(2010).
Google Scholar
BibTex
zheleva-nips2010.pdf
(200.43 KB)
Licamele, L.
&
Getoor, L.
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
.
BMC Bioinformatics
(2010).
Google Scholar
BibTex
Bilgic, M.
Information Acquisition in Structured Domains
. (2010).
Google Scholar
BibTex
mbilgic-phdthesis.pdf
(4.68 MB)
Doppa, J.
,
Yu, J.
,
Tadepalli, P.
&
Getoor, L.
Learning Algorithms for Link Prediction based on Chance Constraints
.
European Conference on Machine Learning (ECML)
(2010).
Google Scholar
BibTex
doppa-ecml10.pdf
(203 KB)
Namata, G. Mark
&
Getoor, L.
Link Prediction
.
Encyclopedia of Machine Learning
(2010).
Google Scholar
BibTex
Hwang, H.
,
Lauw, H.
,
Getoor, L.
&
Ntoulas, A.
Organizing User Search Histories
.
IEEE Transactions on Knowledge and Data Engineering
(2010).
Google Scholar
BibTex
Broecheler, M.
,
Mihalkova, L.
&
Getoor, L.
Probabilistic Similarity Logic
.
Conference on Uncertainty in Artificial Intelligence
(2010).
Google Scholar
BibTex
broecheler-uai10.pdf
(399.54 KB)
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