Mustafa Bilgic

According to our database, Mustafa Bilgic authored at least 37 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Context-Aware Feature Selection and Classification.

Juanyan Wang, Mustafa Bilgic

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients.

Ruo Yang, Binghui Wang, Mustafa Bilgic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics.

Jonathan M. Matthews, Brooke Schuster, Sara Saheb Kashaf, Ping Liu, Rakefet Ben-Yishay, Dana Ishay-Ronen, Evgeny Izumchenko, Le Shen, Christopher R. Weber, Margaret Bielski, Sonia S. Kupfer, Mustafa Bilgic, Andrey Rzhetsky, Savas Tay

PLoS Comput. Biol., November, 2022

Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation.

Karthik Shivaram, Ping Liu, Matthew A. Shapiro, Mustafa Bilgic, Aron Culotta

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls.

Siva K. Balasubramanian, Mustafa Bilgic, Aron Culotta, Libby Hemphill, Anita Nikolich, Matthew A. Shapiro

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Ranking-Constrained Learning with Rationales for Text Classification.

Juanyan Wang, Manali Sharma, Mustafa Bilgic

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms.

Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, Mustafa Bilgic

Proceedings of the WWW '21: The Web Conference 2021, 2021

Relational Classification of Biological Cells in Microscopy Images.

Ping Liu, Mustafa Bilgic

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Hindsight Analysis of the Chicago Food Inspection Forecasting Model.

Vinesh Kannan, Matthew A. Shapiro, Mustafa Bilgic

CoRR, 2019

2018

Learning with rationales for document classification.

Manali Sharma, Mustafa Bilgic

Mach. Learn., 2018

2017

Collective Classification.

Galileo Namata, Prithviraj Sen, Mustafa Bilgic, Lise Getoor

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Active inference for dynamic Bayesian networks with an application to tissue engineering.

Caner Komurlu, Jinjian Shao, Banu Akar, Elif S. Bayrak, Eric M. Brey, Ali Cinar, Mustafa Bilgic

Knowl. Inf. Syst., 2017

Evidence-based uncertainty sampling for active learning.

Manali Sharma, Mustafa Bilgic

Data Min. Knowl. Discov., 2017

Active learning: an empirical study of common baselines.

Maria Eugenia Ramirez-Loaiza, Manali Sharma, Geet Kumar, Mustafa Bilgic

Data Min. Knowl. Discov., 2017

2016

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation.

Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks.

Caner Komurlu, Mustafa Bilgic

Proceedings of the AI for Smart Grids and Smart Buildings, 2016

2015

Active Learning with Rationales for Text Classification.

Manali Sharma, Di Zhuang, Mustafa Bilgic

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Dynamic Bayesian Network Modeling of Vascularization in Engineered Tissues.

Caner Komurlu, Jinjian Shao, Mustafa Bilgic

Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014

Anytime Active Learning.

Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Towards anytime active learning: interrupting experts to reduce annotation costs.

Maria Eugenia Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Most-Surely vs. Least-Surely Uncertain.

Manali Sharma, Mustafa Bilgic

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Active query selection for learning rankers.

Mustafa Bilgic, Paul N. Bennett

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Combining Active Learning and Dynamic Dimensionality Reduction.

Mustafa Bilgic

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011

Dynamic Processing Allocation in Video.

Daozheng Chen, Mustafa Bilgic, Lise Getoor, David W. Jacobs

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition.

Mustafa Bilgic, Lise Getoor

J. Artif. Intell. Res., 2011

2010

Collective Classification.

Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor

Proceedings of the Encyclopedia of Machine Learning, 2010

Cost-sensitive Information Acquisition in Structured Domains.

Mustafa Bilgic

PhD thesis, 2010

Active Learning for Networked Data.

Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Active Inference for Collective Classification.

Mustafa Bilgic, Lise Getoor

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Reflect and correct: A misclassification prediction approach to active inference.

Mustafa Bilgic, Lise Getoor

ACM Trans. Knowl. Discov. Data, 2009

2008

Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation.

Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa Bilgic, Louis Licamele

IEEE Trans. Vis. Comput. Graph., 2008

Collective Classification in Network Data.

Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad

AI Mag., 2008

Effective label acquisition for collective classification.

Mustafa Bilgic, Lise Getoor

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Combining Collective Classification and Link Prediction.

Mustafa Bilgic, Galileo Namata, Lise Getoor

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

VOILA: Efficient Feature-value Acquisition for Classification.

Mustafa Bilgic, Lise Getoor

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

D-Dupe: An Interactive Tool for Entity Resolution in Social Networks.

Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman

Proceedings of the 1st IEEE Symposium On Visual Analytics Science And Technology, 2006

2005

Capital and benefit in social networks.

Louis Licamele, Mustafa Bilgic, Lise Getoor, Nick Roussopoulos

Proceedings of the 3rd international workshop on Link discovery, 2005