| You Are What Apps You Use: Demographic Prediction Based on User's Apps E Malmi, I Weber Proceedings of the 10th International AAAI Conference on Web and Social Media, 2016 | 64 | 2016 |
| DopeLearning: A computational approach to rap lyrics generation E Malmi, P Takala, H Toivonen, T Raiko, A Gionis Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 55 | 2016 |
| Encode, Tag, Realize: High-Precision Text Editing E Malmi, S Krause, S Rothe, D Mirylenka, A Severyn EMNLP-IJCNN, 2019 | 31 | 2019 |
| Semi-supervised detection of collective anomalies with an application in high energy particle physics T Vatanen, M Kuusela, E Malmi, T Raiko, T Aaltonen, Y Nagai The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 29 | 2012 |
| Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns E Malmi, TMT Do, D Gatica-Perez Proceedings of the 11th International Conference on Mobile and Ubiquitous …, 2012 | 25 | 2012 |
| Behavioral event measurement system and related method H Verkasalo, S Kayal, M Kontturi, E Malmi US Patent 9,471,912, 2016 | 22 | 2016 |
| DiscoFuse: A Large-Scale Dataset for Discourse-based Sentence Fusion M Geva, E Malmi, I Szpektor, J Berant NAACL 2019, 2019 | 18 | 2019 |
| Semi-supervised anomaly detection–towards model-independent searches of new physics M Kuusela, T Vatanen, E Malmi, T Raiko, T Aaltonen, Y Nagai Journal of Physics: Conference Series 368 (1), 012032, 2012 | 18 | 2012 |
| Automatic Prediction of Discourse Connectives E Malmi, D Pighin, S Krause, M Kozhevnikov LREC, 2018 | 15 | 2018 |
| CaBS: A cascaded brain tumor segmentation approach E Malmi, S Parambath, JM Peyrat, J Abinahed, S Chawla Proceedings MICCAI Brain, Tumor Segmentation (BRATS), 42-47, 2015 | 14 | 2015 |
| From Foursquare to my Square: Learning Check-in Behavior from Multiple Sources E Malmi, TMT Do, D Gatica-Perez Proceedings of the International AAAI Conference on Weblogs and Social Media …, 2013 | 13 | 2013 |
| Responsible team players wanted: an analysis of soft skill requirements in job advertisements F Calanca, L Sayfullina, L Minkus, C Wagner, E Malmi EPJ Data Science 8 (1), 13, 2019 | 11 | 2019 |
| Lagrangian relaxations for multiple network alignment E Malmi, S Chawla, A Gionis Data Mining and Knowledge Discovery 31 (5), 1331-1358, 2017 | 9 | 2017 |
| Validating indirect fire models with field experiments BM Åkesson, E Lappi, VH Pettersson, E Malmi, S Syrjänen, M Vulli, ... The Journal of Defense Modeling and Simulation 10 (4), 425-434, 2013 | 9 | 2013 |
| Active network alignment: a matching-based approach E Malmi, A Gionis, E Terzi Proceedings of the International Conference on Information and Knowledge …, 2017 | 8 | 2017 |
| Quality matters: Usage-based app popularity prediction E Malmi Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014 | 8 | 2014 |
| Multivariate techniques for identifying diffractive interactions at the LHC M Kuusela, JW Lämsä, E Malmi, P Mehtälä, R Orava International Journal of Modern Physics A 25 (08), 1615-1647, 2010 | 8 | 2010 |
| Domain adaptation for resume classification using convolutional neural networks L Sayfullina, E Malmi, Y Liao, A Jung Proceedings of the 6th International Conference on Analysis of Images …, 2017 | 7 | 2017 |
| Beyond rankings: comparing directed acyclic graphs E Malmi, N Tatti, A Gionis Data mining and knowledge discovery 29 (5), 1233-1257, 2015 | 7 | 2015 |
| Learning representations for soft skill matching L Sayfullina, E Malmi, J Kannala International conference on analysis of images, social networks and texts …, 2018 | 6 | 2018 |
Aristides GionisKTH Royal Institute of Technology, and Aalto UniversityVerified email at kth.se
