Bibek Paudel
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Iteratively learning embeddings and rules for knowledge graph reasoning
W Zhang, B Paudel, L Wang, J Chen, H Zhu, W Zhang, A Bernstein, ...
The world wide web conference, 2366-2377, 2019
Interaction embeddings for prediction and explanation in knowledge graphs
W Zhang, B Paudel, W Zhang, A Bernstein, H Chen
Proceedings of the twelfth ACM international conference on web search and …, 2019
An ecosystem service perspective on urban nature, physical activity, and health
RP Remme, H Frumkin, AD Guerry, AC King, L Mandle, C Sarabu, ...
Proceedings of the National Academy of Sciences 118 (22), e2018472118, 2021
Updatable, accurate, diverse, and scalable recommendations for interactive applications
B Paudel, F Christoffel, C Newell, A Bernstein
ACM Transactions on Interactive Intelligent Systems (TiiS) 7 (1), 1-34, 2016
Blockbusters and wallflowers: Accurate, diverse, and scalable recommendations with random walks
F Christoffel, B Paudel, C Newell, A Bernstein
Proceedings of the 9th ACM Conference on Recommender Systems, 163-170, 2015
Increased duration of pollen and mold exposure are linked to climate change
B Paudel, T Chu, M Chen, V Sampath, M Prunicki, KC Nadeau
Scientific reports 11 (1), 12816, 2021
Benefits of diverse news recommendations for democracy: A user study
L Heitz, JA Lischka, A Birrer, B Paudel, S Tolmeijer, L Laugwitz, ...
Digital Journalism 10 (10), 1710-1730, 2022
Advances and novel developments in environmental influences on the development of atopic diseases
SS Alkotob, C Cannedy, K Harter, H Movassagh, B Paudel, M Prunicki, ...
Allergy 75 (12), 3077-3086, 2020
Adversarial Learning for Debiasing Knowledge Graph Embeddings
M Arduini, L Noci, F Pirovano, C Zhang, YR Shrestha, B Paudel
MLG at KDD Conference 2020. The 16th International Workshop on Mining and …, 2020
A deep learning pipeline for patient diagnosis prediction using electronic health records
L Franz, YR Shrestha, B Paudel
BioKDD at KDD Conference 2020. The 19th International Workshop on Data …, 2020
Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering
B Paudel, T Haas, A Bernstein
Proceedings of the 11th ACM Conference on Recommender Systems, 2017
Random walks with erasure: Diversifying personalized recommendations on social and information networks
B Paudel, A Bernstein
Proceedings of the Web Conference 2021, 2046-2057, 2021
Random walk TripleRush: asynchronous graph querying and sampling
P Stutz, B Paudel, M Verman, A Bernstein
Proceedings of the 24th International Conference on World Wide Web, 1034-1044, 2015
Loss aversion in recommender systems: Utilizing negative user preference to improve recommendation quality
B Paudel, S Luck, A Bernstein
CARS-BDA at WSDM 2019. The First International Workshop on Context-Aware …, 2018
Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning
M Baumgartner*, W Zhang*, B Paudel*(equal contribution), D Dell’Aglio, ...
International Semantic Web Conference, 2018
Towards automatic bias detection in knowledge graphs
D Keidar, M Zhong, C Zhang, YR Shrestha, B Paudel
arXiv preprint arXiv:2109.10697, 2021
A framework for evaluating personalized ranking systems by fusing different evaluation measures
T Eftimov, B Paudel, G Popovski, D Kocev
Big Data Research 25, 100211, 2021
Exploring a standardized language for describing foods using embedding techniques
G Popovski, B Paudel, T Eftimov, BK Seljak
2019 IEEE International Conference on Big Data (Big Data), 5172-5176, 2019
User-defined redundancy in web archives
B Paudel, A Anand, K Berberich
Proceeding of the 2013 ACM Workshop on Large-Scale Distributed Systems for …, 2013
Mix and rank: A framework for benchmarking recommender systems
B Paudel, D Kocev, T Eftimov
2019 IEEE International Conference on Big Data (Big Data), 3717-3726, 2019
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