Artikel dengan mandat akses publik - Mustafa BilgicPelajari lebih lanjut
Tersedia di suatu tempat: 15
Active learning: an empirical study of common baselines
ME Ramirez-Loaiza, M Sharma, G Kumar, M Bilgic
Data mining and knowledge discovery 31, 287-313, 2017
Mandat: US National Science Foundation
Evidence-based uncertainty sampling for active learning
M Sharma, M Bilgic
Data Mining and Knowledge Discovery 31, 164-202, 2017
Mandat: US National Science Foundation
OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics
JM Matthews, B Schuster, SS Kashaf, P Liu, R Ben-Yishay, ...
PLoS computational biology 18 (11), e1010584, 2022
Mandat: US National Institutes of Health
The interaction between political typology and filter bubbles in news recommendation algorithms
P Liu, K Shivaram, A Culotta, MA Shapiro, M Bilgic
Proceedings of the web conference 2021, 3791-3801, 2021
Mandat: US National Science Foundation
Active learning with rationales for identifying operationally significant anomalies in aviation
M Sharma, K Das, M Bilgic, B Matthews, D Nielsen, N Oza
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
Mandat: US National Science Foundation, US National Aeronautics and Space Administration
IDGI: A framework to eliminate explanation noise from integrated gradients
R Yang, B Wang, M Bilgic
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandat: US National Science Foundation
Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks.
C Komurlu, M Bilgic
AAAI Workshop: AI for Smart Grids and Smart Buildings, 2016
Mandat: US National Science Foundation
Learning with rationales for document classification
M Sharma, M Bilgic
Machine Learning 107, 797-824, 2018
Mandat: US National Science Foundation
Reducing cross-topic political homogenization in content-based news recommendation
K Shivaram, P Liu, M Shapiro, M Bilgic, A Culotta
Proceedings of the 16th ACM conference on Recommender Systems, 220-228, 2022
Mandat: US National Science Foundation
Disciplinary learning from an authentic engineering context
C Langman, J Zawojewski, P McNicholas, A Cinar, E Brey, M Bilgic, ...
Journal of Pre-College Engineering Education Research (J-PEER) 9 (1), 5, 2019
Mandat: US National Science Foundation
Computer vision reveals hidden variables underlying NF-κB activation in single cells
P Patel, N Drayman, P Liu, M Bilgic, S Tay
Science Advances 7 (43), eabg4135, 2021
Mandat: US National Science Foundation, US National Institutes of Health
Active inference for dynamic Bayesian networks with an application to tissue engineering
C Komurlu, J Shao, B Akar, ES Bayrak, EM Brey, A Cinar, M Bilgic
Knowledge and Information Systems 50, 917-943, 2017
Mandat: US National Science Foundation
Relational classification of biological cells in microscopy images
P Liu, M Bilgic
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 344-352, 2021
Mandat: US National Science Foundation
Towards learning with feature-based explanations for document classification
M Sharma, M Bilgic
IJCAI Workshop on BeyondLabeler-Human is More than a Labeler, 1-7, 2016
Mandat: US National Science Foundation
Deep learning reveals hidden variables underlying NF-κB activation in single cells
P Patel, N Drayman, P Liu, M Bilgic, S Tay
bioRxiv, 687848, 2019
Mandat: US National Science Foundation, US National Institutes of Health
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