| Tensor decomposition for signal processing and machine learning ND Sidiropoulos, L De Lathauwer, X Fu, K Huang, EE Papalexakis, ... IEEE Transactions on Signal Processing 65 (13), 3551-3582, 2017 | 1292 | 2017 |
| Tensors for data mining and data fusion: Models, applications, and scalable algorithms EE Papalexakis, C Faloutsos, ND Sidiropoulos ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-44, 2016 | 377 | 2016 |
| Gigatensor: scaling tensor analysis up by 100 times-algorithms and discoveries U Kang, E Papalexakis, A Harpale, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 340 | 2012 |
| ParCube: Sparse Parallelizable Tensor Decompositions EE Papalexakis, C Faloutsos, ND Sidiropoulos | 236 | 2012 |
| All you need is low (rank) defending against adversarial attacks on graphs N Entezari, SA Al-Sayouri, A Darvishzadeh, EE Papalexakis Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 168 | 2020 |
| From K-means to higher-way co-clustering: multilinear decomposition with sparse latent factors EE Papalexakis, ND Sidiropoulos, R Bro IEEE Transactions on Signal Processing, 2013 | 167 | 2013 |
| HaTen2: Billion-scale Tensor Decompositions I Jeon, EE Papalexakis, U Kang, C Faloutsos IEEE ICDE 2015, 2015 | 165 | 2015 |
| NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks M Mongiovı, P Bogdanov, R Ranca, EE Papalexakis, C Faloutsos, ... | 146 | 2013 |
| FLEXIFACT: Scalable Flexible Factorization of Coupled Tensors on Hadoop A Beutel, A Kumar, E Papalexakis, PP Talukdar, C Faloutsos, EP Xing NIPS 2013 Big Learning Workshop, 2013 | 144 | 2013 |
| Do more Views of a Graph help? Community Detection and Clustering in Multi-Graphs EE Papalexakis, L Akoglu, D Ienco 16th International Conference on Information Fusion, 2013 | 132 | 2013 |
| Com2: Fast Automatic Discovery of Temporal (’Comet’) Communities M Araujo, S Papadimitriou, S Günnemann, C Faloutsos, P Basu, A Swami, ... PAKDD 2014, 2014 | 126 | 2014 |
| Structure-revealing data fusion E Acar, EE Papalexakis, G Gürdeniz, MA Rasmussen, AJ Lawaetz, ... BMC bioinformatics 15 (1), 1-17, 2014 | 115 | 2014 |
| Unsupervised content-based identification of fake news articles with tensor decomposition ensembles S Hosseinimotlagh, EE Papalexakis Proceedings of the Workshop on Misinformation and Misbehavior Mining on the …, 2018 | 97 | 2018 |
| Semi-supervised content-based detection of misinformation via tensor embeddings GB Guacho, S Abdali, N Shah, EE Papalexakis 2018 IEEE/ACM international conference on advances in social networks …, 2018 | 96 | 2018 |
| SPARTan: Scalable PARAFAC2 for large & sparse data I Perros, EE Papalexakis, F Wang, R Vuduc, E Searles, M Thompson, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 80 | 2017 |
| Parallel randomly compressed cubes: A scalable distributed architecture for big tensor decomposition ND Sidiropoulos, EE Papalexakis, C Faloutsos IEEE Signal Processing Magazine 31 (5), 57-70, 2014 | 77 | 2014 |
| Webly supervised joint embedding for cross-modal image-text retrieval NC Mithun, R Panda, EE Papalexakis, AK Roy-Chowdhury Proceedings of the 26th ACM international conference on Multimedia, 1856-1864, 2018 | 75 | 2018 |
| TENSORSPLAT: Spotting Latent Anomalies in Time D Koutra, EE Papalexakis, C Faloutsos | 75 | 2012 |
| Network Anomaly Detection using Co-clustering EE Papalexakis, A Beutel, P Steenkiste | 66 | 2012 |
| Heigen: Spectral analysis for billion-scale graphs U Kang, B Meeder, EE Papalexakis, C Faloutsos IEEE Transactions on knowledge and data engineering 26 (2), 350-362, 2012 | 65 | 2012 |
Christos FaloutsosCMUcs.cmu.edu의 이메일 확인됨
