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07/28/2023
Few-shot Image Classification based on Gradual Machine Learning
Few-shot image classification aims to accurately classify unlabeled imag...
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12/23/2020
Active Deep Learning on Entity Resolution by Risk Sampling
While the state-of-the-art performance on entity resolution (ER) has bee...
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12/07/2020
Adaptive Deep Learning for Entity Resolution by Risk Analysis
The state-of-the-art performance on entity resolution (ER) has been achi...
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12/06/2019
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Machine-learning-based entity resolution has been widely studied. Howeve...
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06/06/2019
Gradual Machine Learning for Aspect-level Sentiment Analysis
The state-of-the-art solutions for Aspect-Level Sentiment Analysis (ALSA...
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10/29/2018
Gradual Machine Learning for Entity Resolution
Usually considered as a classification problem, entity resolution can be...
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05/31/2018
Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective
Pure machine-based solutions usually struggle in the challenging classif...
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05/31/2018
Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective
Pure machine-based solutions usually struggle in challenging classificat...
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03/15/2018
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees
Even though many approaches have been proposed for entity resolution (ER...
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03/15/2018
i-HUMO: An Interactive Human and Machine Cooperation Framework for Entity Resolution with Quality Guarantees
Even though many approaches have been proposed for entity resolution (ER...
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09/30/2017
Enabling Quality Control for Entity Resolution: A Human and Machine Cooperation Framework
Even though many machine algorithms have been proposed for entity resolu...
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09/30/2017
