| Using network traffic logs for search enhancement A Borkovsky, DM Cook, JM Langlois, T Poutanen, H Zha US Patent 7,398,271, 2008 | 139 | 2008 |
| Evolutionary and structural analyses of SARS-CoV-2 D614G spike protein mutation now documented worldwide S Isabel, L Graņa-Miraglia, JM Gutierrez, C Bundalovic-Torma, HE Groves, ... Scientific reports 10 (1), 1-9, 2020 | 127 | 2020 |
| DropoutNet: Addressing Cold Start in Recommender Systems. M Volkovs, GW Yu, T Poutanen NIPS, 4957-4966, 2017 | 101 | 2017 |
| NetCents: A Lightweight Protocol for Secure Micropayments. T Poutanen, HM Hinton, M Stumm USENIX Workshop on Electronic Commerce, 25-36, 1998 | 69 | 1998 |
| SIMD parallelization of applications that traverse irregular data structures B Ren, G Agrawal, JR Larus, T Mytkowicz, T Poutanen, W Schulte Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation …, 2013 | 68 | 2013 |
| Content-based neighbor models for cold start in recommender systems M Volkovs, GW Yu, T Poutanen Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017 | 61 | 2017 |
| Temporally ordered binary search method and system TJ Poutanen, J Forbes US Patent 5,978,795, 1999 | 34 | 1999 |
| Using network traffic logs for search enhancement A Borkovsky, DM Cook, JM Langlois, T Poutanen, H Zha US Patent 8,203,952, 2012 | 16 | 2012 |
| Using network traffic logs for search enhancement A Borkovsky, DM Cook, JM Langlois, T Poutanen, H Zha US Patent 7,996,397, 2011 | 15 | 2011 |
| Using network traffic logs for search engine index updates A Borkovsky, DM Cook, JM Langlois, T Poutanen, H Zha US Patent 8,509,266, 2013 | 10 | 2013 |
| Concurrent traversal of multiple binary trees T Poutanen US Patent 8,078,642, 2011 | 10 | 2011 |
| Fine-grained parallel traversals of irregular data structures B Ren, G Agrawal, JR Larus, T Mytkowicz, T Poutanen, W Schulte 2012 21st International Conference on Parallel Architectures and Compilation …, 2012 | 6 | 2012 |
| Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data M Ravaut, H Sadeghi, KK Leung, M Volkovs, K Kornas, V Harish, ... NPJ digital medicine 4 (1), 1-12, 2021 | 3 | 2021 |
| Learning document embeddings with convolutional neural network architectures M Volkovs, TJ Poutanen US Patent 10,360,303, 2019 | 2 | 2019 |
| NetCents protocol for inexpensive Internet payments TJ Poutanen | 2 | 1999 |
| Method and system for making recommendations from binary data using neighbor-score matrix and latent factors M Volkovs, T Poutanen US Patent 10,932,003, 2021 | 1 | 2021 |
| Development of a Multivariable Model for COVID-19 Risk Stratification Based on Gradient Boosting Decision Trees JM Gutierrez, M Volkovs, T Poutanen, T Watson, L Rosella medRxiv, 2020 | 1 | 2020 |
| Encoding and accessing position data T Poutanen US Patent 9,507,827, 2016 | 1 | 2016 |
| Method and System for making Recommendation from Binary Data Using Neighbor-Score Matrix and Latent Factors M Volkovs, T Poutanen US Patent App. 17/150,799, 2021 | | 2021 |
| Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes M Ravaut, V Harish, H Sadeghi, KK Leung, M Volkovs, K Kornas, ... JAMA network open 4 (5), e2111315-e2111315, 2021 | | 2021 |
