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ORCIDLuiza Sayfullina
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2010 – 2019
- 2019
[b1]Luiza Sayfullina:
Machine Learning Methods for Classification of Unstructured Data. Aalto University, Espoo, Finland, 2019- [j2]Federica Calanca
, Luiza Sayfullina, Lara Minkus, Claudia Wagner, Eric Malmi:
Responsible team players wanted: an analysis of soft skill requirements in job advertisements. EPJ Data Sci. 8(1): 13:1-13:20 (2019) - 2018
- [c5]Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. AIST 2018: 141-152 - [i3]Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. CoRR abs/1807.07741 (2018) - [i2]Federica Calanca, Luiza Sayfullina, Lara Minkus, Claudia Wagner, Eric Malmi:
Responsible team players wanted: an analysis of soft skill requirements in job advertisements. CoRR abs/1810.07781 (2018) - 2017
- [j1]Paolo Palumbo, Luiza Sayfullina, Dmitriy Komashinskiy, Emil Eirola, Juha Karhunen:
A pragmatic android malware detection procedure. Comput. Secur. 70: 689-701 (2017) - [c4]Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung:
Domain Adaptation for Resume Classification Using Convolutional Neural Networks. AIST 2017: 82-93 - [i1]Luiza Sayfullina, Eric Malmi, Yiping Liao, Alex Jung:
Domain Adaptation for Resume Classification Using Convolutional Neural Networks. CoRR abs/1707.05576 (2017) - 2016
- [c3]Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Juha Karhunen:
Android Malware Detection: Building Useful Representations. ICMLA 2016: 201-206 - 2015
- [c2]Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Miché, Amaury Lendasse, Juha Karhunen:
Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. TrustCom/BigDataSE/ISPA (1) 2015: 198-205 - 2014
- [c1]Luiza Sayfullina, Magnus Westerlund, Kaj-Mikael Björk, Hannu T. Toivonen:
HP Trend Filtering Using Gaussian Mixture Model Weighted Heuristic. ICTAI 2014: 989-996
Coauthor Index
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