| Visual analytics in deep learning: An interrogative survey for the next frontiers F Hohman, M Kahng, R Pienta, DH Chau IEEE transactions on visualization and computer graphics 25 (8), 2674-2693, 2018 | 701 | 2018 |
| Netprobe: a fast and scalable system for fraud detection in online auction networks S Pandit, DH Chau, S Wang, C Faloutsos 📸 Proceedings of the 16th international conference on World Wide Web …, 2007 | 580 | 2007 |
| Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector ST Chen, C Cornelius, J Martin, DH Chau ⭐ Machine Learning and Knowledge Discovery in Databases: European …, 2019 | 522 | 2019 |
| ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models M Kahng, PY Andrews, A Kalro, DH Chau 🚀 IEEE transactions on visualization and computer graphics — deployed at …, 2018 | 455 | 2018 |
| Keeping the bad guys out: Protecting and vaccinating deep learning with jpeg compression N Das, M Shanbhogue, ST Chen, F Hohman, L Chen, ME Kounavis, ... 🚀 arXiv preprint arXiv:1705.02900 — tech-transferred to Intel, 2017 | 377 | 2017 |
| CNN explainer: learning convolutional neural networks with interactive visualization ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ... ❤🚀 IEEE Transactions on Visualization and Computer Graphics — went viral …, 2020 | 343* | 2020 |
| Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations F Hohman, H Park, C Robinson, DHP Chau IEEE transactions on visualization and computer graphics 26 (1), 1096-1106, 2019 | 266 | 2019 |
| Polonium: Tera-Scale Graph Mining and Inference for Malware Detection DH Chau, C Nachenberg, J Wilhelm, A Wright, C Faloutsos 🚀 SIAM International Conference on Data Mining (SDM) 2011 — deployed and …, 2011 | 261* | 2011 |
| Shield: Fast, practical defense and vaccination for deep learning using jpeg compression N Das, M Shanbhogue, ST Chen, F Hohman, S Li, L Chen, ME Kounavis, ... 🚀 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 250 | 2018 |
| FairVis: Visual analytics for discovering intersectional bias in machine learning ÁA Cabrera, W Epperson, F Hohman, M Kahng, J Morgenstern, DH Chau 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 46-56, 2019 | 235 | 2019 |
| DiffusionDB: A large-scale prompt gallery dataset for text-to-image generative models ZJ Wang, E Montoya, D Munechika, H Yang, B Hoover, DH Chau ❤🏆 arXiv preprint arXiv:2210.14896 — ACL'23 Best Paper, Honorable Mention …, 2022 | 233 | 2022 |
| Apolo: making sense of large network data by combining rich user interaction and machine learning DH Chau, A Kittur, JI Hong, C Faloutsos Proceedings of the SIGCHI conference on human factors in computing systems …, 2011 | 233 | 2011 |
| A linguistic analysis of how people describe software problems AJ Ko, BA Myers, DH Chau Visual Languages and Human-Centric Computing (VL/HCC'06), 127-134, 2006 | 233 | 2006 |
| Guilt by association: large scale malware detection by mining file-relation graphs A Tamersoy, K Roundy, DH Chau 🚀 Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 217 | 2014 |
| Detecting fraudulent personalities in networks of online auctioneers DH Chau, S Pandit, C Faloutsos Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006 | 214 | 2006 |
| Gan lab: Understanding complex deep generative models using interactive visual experimentation M Kahng, N Thorat, DH Chau, FB Viégas, M Wattenberg ❤🚀 IEEE transactions on visualization and computer graphics — deployed …, 2018 | 208 | 2018 |
| Parallel crawling for online social networks DH Chau, S Pandit, S Wang, C Faloutsos Proceedings of the 16th international conference on World Wide Web, 1283-1284, 2007 | 202 | 2007 |
| On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE international conference on data mining, 1091-1096, 2010 | 188 | 2010 |
| Detecting insider threats in a real corporate database of computer usage activity TE Senator, HG Goldberg, A Memory, WT Young, B Rees, R Pierce, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 180 | 2013 |
| Unifying guilt-by-association approaches: Theorems and fast algorithms D Koutra, TY Ke, U Kang, DH Chau, HKK Pao, C Faloutsos Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 168 | 2011 |
Christos FaloutsosCMUZweryfikowany adres z cs.cmu.edu
