| Nonnegative matrix tri-factorization with graph regularization for community detection in social networks YPN Chakraborty, K Sycara Proceedings of the AAAI, 2083-2089, 2015 | 166 | 2015 |
| Optimizing Sentence Modeling and Selection for Document Summarization. W Yin, Y Pei IJCAI 15, 1383-1389, 2015 | 140 | 2015 |
| Are chatgpt and gpt-4 general-purpose solvers for financial text analytics? a study on several typical tasks X Li, S Chan, X Zhu, Y Pei, Z Ma, X Liu, S Shah arXiv preprint arXiv:2305.05862, 2023 | 120 | 2023 |
| Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware S Liu, DC Mocanu, ARR Matavalam, Y Pei, M Pechenizkiy Neural Computing and Applications 33, 2589-2604, 2021 | 103 | 2021 |
| Twitter rumour detection in the health domain R Sicilia, SL Giudice, Y Pei, M Pechenizkiy, P Soda Expert Systems with Applications 110, 33-40, 2018 | 100 | 2018 |
| ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks Y Pei, T Huang, W Van Ipenburg, M Pechenizkiy Machine Learning 111 (2), 519-541, 2022 | 88 | 2022 |
| DHNE: Network representation learning method for dynamic heterogeneous networks Y Yin, LX Ji, JP Zhang, YL Pei IEEE Access 7, 134782-134792, 2019 | 69 | 2019 |
| EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features N Ahmadi, Y Pei, E Carrette, AP Aldenkamp, M Pechenizkiy Brain informatics 7, 1-22, 2020 | 65 | 2020 |
| Selfish sparse rnn training S Liu, DC Mocanu, Y Pei, M Pechenizkiy International Conference on Machine Learning, 6893-6904, 2021 | 46 | 2021 |
| DocLLM: A layout-aware generative language model for multimodal document understanding D Wang, N Raman, M Sibue, Z Ma, P Babkin, S Kaur, Y Pei, ... arXiv preprint arXiv:2401.00908, 2023 | 42 | 2023 |
| Hop-count based self-supervised anomaly detection on attributed networks T Huang, Y Pei, V Menkovski, M Pechenizkiy Joint European conference on machine learning and knowledge discovery in …, 2022 | 37 | 2022 |
| Detection of alcoholism based on EEG signals and functional brain network features extraction N Ahmadi, Y Pei, M Pechenizkiy 2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017 | 35 | 2017 |
| Tink: A temporal graph analytics library for apache flink W Lightenberg, Y Pei, G Fletcher, M Pechenizkiy Companion Proceedings of the The Web Conference 2018, 71-72, 2018 | 34 | 2018 |
| Sampling business process event logs using graph‐based ranking model C Liu, Y Pei, L Cheng, Q Zeng, H Duan Concurrency and Computation: Practice and Experience 33 (5), e5974, 2021 | 32 | 2021 |
| struc2gauss: Structural role preserving network embedding via Gaussian embedding Y Pei, X Du, J Zhang, G Fletcher, M Pechenizkiy Data Mining and Knowledge Discovery 34, 1072-1103, 2020 | 29* | 2020 |
| Abstraction of analytical models from cognitive models of human control of robotic swarms K Sycara, C Lebiere, Y Pei, D Morrison, Y Tang, M Lewis Proceedings of ICCM 2015-13th international conference on cognitive modeling …, 2015 | 29 | 2015 |
| LogRank: An approach to sample business process event log for efficient discovery C Liu, Y Pei, Q Zeng, H Duan Knowledge Science, Engineering and Management: 11th International Conference …, 2018 | 28 | 2018 |
| Mining user interests from personal photos P Xie, Y Pei, Y Xie, E Xing Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 26 | 2015 |
| Bridging the performance gap between fgsm and pgd adversarial training T Huang, V Menkovski, Y Pei, M Pechenizkiy arXiv preprint arXiv:2011.05157, 2020 | 25 | 2020 |
| Health-related rumour detection on Twitter R Sicilia, SL Giudice, Y Pei, M Pechenizkiy, P Soda 2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017 | 25 | 2017 |
Mykola PechenizkiyEindhoven University of TechnologyEmail được xác minh tại tue.nl
