Bibek Paudel | DeepAI

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∙ 09/19/2021

Towards Automatic Bias Detection in Knowledge Graphs

With the recent surge in social applications relying on knowledge graphs...

0 Daphna Keidar, et al. ∙

∙ 02/18/2021

Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks

Most existing personalization systems promote items that match a user's ...

0 Bibek Paudel, et al. ∙

∙ 06/29/2020

Adversarial Learning for Debiasing Knowledge Graph Embeddings

Knowledge Graphs (KG) are gaining increasing attention in both academia ...

14 Mario Arduini, et al. ∙

∙ 06/23/2020

A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records

Augmentation of disease diagnosis and decision-making in healthcare with...

0 Leopold Franz, et al. ∙

∙ 09/03/2019

Cross-Cutting Political Awareness through Diverse News Recommendations

The suggestions generated by most existing recommender systems are known...

0 Bibek Paudel, et al. ∙

∙ 03/21/2019

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Reasoning is essential for the development of large knowledge graphs, es...

8 Wen Zhang, et al. ∙

∙ 03/12/2019

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Knowledge graph embedding aims to learn distributed representations for ...

32 Wen Zhang, et al. ∙

∙ 12/29/2018

Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality

Negative user preference is an important context that is not sufficientl...

0 Bibek Paudel, et al. ∙

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