| 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 | 182 | 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 | 175 | 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 | 94 | 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 | 78 | 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 | 75 | 2015 |
| 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 | 33 | 2020 |
| 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 | 31 | 2021 |
| 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 | 30 | 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 | 29 | 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 | 24 | 2017 |
| 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 | 22 | 2022 |
| 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 | 13 | 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 | 12 | 2018 |
| 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 | 10 | 2021 |
| 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 | 10 | 2018 |
| Towards automatic bias detection in knowledge graphs D Keidar, M Zhong, C Zhang, YR Shrestha, B Paudel arXiv preprint arXiv:2109.10697, 2021 | 5 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 2 | 2019 |
Abraham BernsteinProfessor of Computer Science, University of ZurichVerified email at ifi.uzh.ch
