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Mustafa Bilgic 0001
Person information
- affiliation: Illinois Institute of Technology, Chicago, IL, USA
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2020 – today
- 2024
- [c28]Ruo Yang, Binghui Wang, Mustafa Bilgic:
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach. CIKM 2024: 2890-2899 - [c27]Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, Mustafa Bilgic:
How Does Empowering Users with Greater System Control Affect News Filter Bubbles? ICWSM 2024: 943-957 - [c26]Karthik Shivaram, Mustafa Bilgic, Matthew A. Shapiro, Aron Culotta:
Characterizing Online Criticism of Partisan News Media Using Weakly Supervised Learning. ICWSM 2024: 1436-1450 - [c25]Karthik Shivaram, Mustafa Bilgic, Matthew A. Shapiro, Aron Culotta:
Forecasting Political News Engagement on Social Media. ICWSM 2024: 1451-1462 - [i5]Ruo Yang, Binghui Wang, Mustafa Bilgic:
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach. CoRR abs/2409.16429 (2024) - 2023
- [j11]Ruo Yang, Ping Liu, Mustafa Bilgic:
The Analysis of the Expected Change in the Classification Probability of the Predicted Label. Trans. Mach. Learn. Res. 2023 (2023) - [c24]Ruo Yang, Binghui Wang, Mustafa Bilgic:
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. CVPR 2023: 23725-23734 - [c23]Juanyan Wang, Mustafa Bilgic:
Context-Aware Feature Selection and Classification. IJCAI 2023: 4317-4325 - [i4]Ruo Yang, Binghui Wang, Mustafa Bilgic:
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. CoRR abs/2303.14242 (2023) - 2022
- [j10]Jonathan M. Matthews
, Brooke Schuster, Sara Saheb Kashaf, Ping Liu
OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics. PLoS Comput. Biol. 18(11): 1010584 (2022) - [c22]Juanyan Wang
Ranking-Constrained Learning with Rationales for Text Classification. ACL (Findings) 2022: 2034-2046 - [c21]Siva K. Balasubramanian, Mustafa Bilgic, Aron Culotta, Libby Hemphill, Anita Nikolich, Matthew A. Shapiro:
Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls. ICWSM 2022: 2-11 - [c20]Karthik Shivaram, Ping Liu, Matthew A. Shapiro, Mustafa Bilgic, Aron Culotta:
Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation. RecSys 2022: 220-228 - [i3]Siva K. Balasubramanian, Mustafa Bilgic, Aron Culotta, Libby Hemphill, Anita Nikolich
Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls. CoRR abs/2204.01790 (2022) - 2021
- [c19]Ping Liu, Mustafa Bilgic:
Relational Classification of Biological Cells in Microscopy Images. AAAI 2021: 344-352 - [c18]Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, Mustafa Bilgic:
The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms. WWW 2021: 3791-3801
2010 – 2019
- 2019
- [i2]Vinesh Kannan, Matthew A. Shapiro, Mustafa Bilgic:
Hindsight Analysis of the Chicago Food Inspection Forecasting Model. CoRR abs/1910.04906 (2019) - 2018
- [j9]Manali Sharma, Mustafa Bilgic
Learning with rationales for document classification. Mach. Learn. 107(5): 797-824 (2018) - 2017
- [j8]Manali Sharma, Mustafa Bilgic:
Evidence-based uncertainty sampling for active learning. Data Min. Knowl. Discov. 31(1): 164-202 (2017) - [j7]Maria Eugenia Ramirez-Loaiza, Manali Sharma, Geet Kumar, Mustafa Bilgic:
Active learning: an empirical study of common baselines. Data Min. Knowl. Discov. 31(2): 287-313 (2017) - [j6]Caner Komurlu, Jinjian Shao, Banu Akar, Elif S. Bayrak, Eric M. Brey, Ali Cinar, Mustafa Bilgic
Active inference for dynamic Bayesian networks with an application to tissue engineering. Knowl. Inf. Syst. 50(3): 917-943 (2017) - [r2]Galileo Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor:
Collective Classification. Encyclopedia of Machine Learning and Data Mining 2017: 238-242 - 2016
- [c17]Caner Komurlu, Mustafa Bilgic:
Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks. AAAI Workshop: AI for Smart Grids and Smart Buildings 2016 - [c16]Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza:
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation. ECML/PKDD (3) 2016: 209-225 - 2015
- [c15]Manali Sharma, Di Zhuang, Mustafa Bilgic:
Active Learning with Rationales for Text Classification. HLT-NAACL 2015: 441-451 - 2014
- [c14]Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic:
Anytime Active Learning. AAAI 2014: 2048-2054 - [c13]Caner Komurlu, Jinjian Shao, Mustafa Bilgic:
Dynamic Bayesian Network Modeling of Vascularization in Engineered Tissues. BMA@UAI 2014: 89-98 - [i1]Mustafa Bilgic, Lise Getoor:
Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. CoRR abs/1401.3881 (2014) - 2013
- [c12]Manali Sharma, Mustafa Bilgic:
Most-Surely vs. Least-Surely Uncertain. ICDM 2013: 667-676 - [c11]Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic:
Towards anytime active learning: interrupting experts to reduce annotation costs. IDEA@KDD 2013: 87-94 - 2012
- [c10]Mustafa Bilgic:
Combining Active Learning and Dynamic Dimensionality Reduction. SDM 2012: 696-707 - [c9]Mustafa Bilgic, Paul N. Bennett:
Active query selection for learning rankers. SIGIR 2012: 1033-1034 - 2011
- [j5]Mustafa Bilgic, Lise Getoor:
Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition. J. Artif. Intell. Res. 41: 69-95 (2011) - [j4]Daozheng Chen, Mustafa Bilgic, Lise Getoor, David W. Jacobs:
Dynamic Processing Allocation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2174-2187 (2011) - 2010
- [b1]Mustafa Bilgic:
Cost-sensitive Information Acquisition in Structured Domains. University of Maryland, College Park, MD, USA, 2010 - [c8]Mustafa Bilgic, Lise Getoor:
Active Inference for Collective Classification. AAAI 2010: 1652-1655 - [c7]Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor:
Active Learning for Networked Data. ICML 2010: 79-86 - [r1]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor:
Collective Classification. Encyclopedia of Machine Learning 2010: 189-193
2000 – 2009
- 2009
- [j3]Mustafa Bilgic, Lise Getoor:
Reflect and correct: A misclassification prediction approach to active inference. ACM Trans. Knowl. Discov. Data 3(4): 20:1-20:32 (2009) - 2008
- [j2]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad:
Collective Classification in Network Data. AI Mag. 29(3): 93-106 (2008) - [j1]Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa Bilgic, Louis Licamele:
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation. IEEE Trans. Vis. Comput. Graph. 14(5): 999-1014 (2008) - [c6]Mustafa Bilgic, Lise Getoor:
Effective label acquisition for collective classification. KDD 2008: 43-51 - 2007
- [c5]Mustafa Bilgic, Lise Getoor:
VOILA: Efficient Feature-value Acquisition for Classification. AAAI 2007: 1225-1230 - [c4]Mustafa Bilgic, Galileo Namata, Lise Getoor:
Combining Collective Classification and Link Prediction. ICDM Workshops 2007: 381-386 - 2006
- [c3]Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman:
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. IEEE VAST 2006: 43-50 - 2005
- [c2]Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman:
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. GD 2005: 505-507 - [c1]Louis Licamele, Mustafa Bilgic, Lise Getoor, Nick Roussopoulos:
Capital and benefit in social networks. LinkKDD 2005: 44-51
Coauthor Index
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