Getoor, Lise - Institute for Advanced Computer Studies & Department of Computer Science, University of Maryland at College Park

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Getoor, Lise - Institute for Advanced Computer Studies & Department of Computer Science, University of Maryland at College Park

Coevolution of Social and Affiliation Networks Elena Zheleva
Statistical Models of Musiclistening Sessions in Social Media
Active Inference for Retrieval in Camera Networks Daozheng Chen1
Probabilistic Similarity Logic Matthias Brocheler
Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders Hossam Sharara
Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context
Bisimulation-based Approximate Lifted Inference Prithviraj Sen
Title of dissertation: COST-SENSITIVE INFORMATION ACQUISITION
Chance-Constrained Programs for Link Prediction Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli
Efficient Resource-constrained Retrospective Analysis of Long Video Sequences
Reducing Label Cost by Combining Feature Labels and Crowdsourcing
Declarative Analysis of Noisy Information Networks Walaa Eldin Moustafa #1
FutureRank: Ranking Scientific Articles by Predicting their Future PageRank Hassan Sayyadi
Statistical Models of Music-listening Sessions in Social Media
Coarse-to-Fine, Cost-Sensitive Classification of jay@cs.umd.edu
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
A Pipeline Approach to Graph Identification Galileo Mark Namata NAMATAG@CS.UMD.EDU
Co-evolution of Social and Affiliation Networks Elena Zheleva
Learning Algorithms for Link Prediction based on Chance Constraints
A Probabilistic Approach for Learning Folksonomies from Structured Data
Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing
Learning to Predict Web Collaborations Lilyana Mihalkova
Journal of Artificial Intelligence Research 41 (2011) 69-95 Submitted 10/10; published 05/11 Value of Information Lattice: Exploiting Probabilistic
Active Inference for Collective Classification Mustafa Bilgic and Lise Getoor
Active Learning for Networked Data Mustafa Bilgic mbilgic@cs.umd.edu
Active Surveying Hossam Sharara
Using Classifier Cascades for Scalable E-Mail Classification
Title of dissertation: PREDICTION, EVOLUTION AND PRIVACY IN SOCIAL AND AFFILIATION NETWORKS
G-PARE: A Visual Analytic Tool for Comparative Analysis of Uncertain Graphs
Collective Graph Identification Galileo Mark Namata