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Vitaly Romanov
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2020 – today
- 2023
- [c9]Vitaly Romanov, Gcinizwe Dlamini, Aidar Valeev, Vladimir Ivanov:
Leveraging Transformer and Graph Neural Networks for Variable Misuse Detection. ENASE 2023: 727-733 - 2022
- [c8]Vitaly Romanov, Vladimir Ivanov:
Assessing the Importance of Global Relationships for Source Code Analysis Using Graph Neural Networks. ISDA (3) 2022: 437-447 - [c7]Albina Khusainova, Vitaly Romanov, Adil Khan:
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output. MWE@LREC2022 2022: 81-88 - 2021
- [c6]Vladimir Ivanov, Vitaly Romanov, Giancarlo Succi
:
Predicting Type Annotations for Python using Embeddings from Graph Neural Networks. ICEIS (1) 2021: 548-556 - [c5]Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov:
Hierarchical Transformer for Multilingual Machine Translation. VarDial@EACL 2021: 12-20 - [i3]Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov:
Hierarchical Transformer for Multilingual Machine Translation. CoRR abs/2103.03589 (2021) - [i2]Vitaly Romanov, Albina Khusainova:
Evaluation of Morphological Embeddings for the Russian Language. CoRR abs/2103.06628 (2021) - [i1]Vitaly Romanov, Albina Khusainova:
Evaluation of Morphological Embeddings for English and Russian Languages. CoRR abs/2103.06884 (2021) - 2020
- [c4]Vitaly Romanov, Vladimir Ivanov, Giancarlo Succi
:
Representing Programs with Dependency and Function Call Graphs for Learning Hierarchical Embeddings. ICEIS (2) 2020: 360-366 - [c3]Vitaly Romanov, Vladimir Ivanov, Giancarlo Succi
:
Approaches for Representing Software as Graphs for Machine Learning Applications. ICS 2020: 529-534 - [c2]Vitaly Romanov:
Evaluating importance of edge types when using graph neural network for predicting return types of Python functions. SPLASH (Companion) 2020: 25-27
2010 – 2019
- 2019
- [c1]Vitaly Romanov, Albina Khusainova:
Evaluation of Morphological Embeddings for the Russian Language. NLPIR 2019: 144-148 - [p1]Ivan Nikitin, Vitaly Romanov, Giancarlo Succi
:
Developing WLAN-Based Intelligent Positioning System for Presence Detection with Limited Sensors. Guide to Ambient Intelligence in the IoT Environment 2019: 95-131
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last updated on 2024-05-08 21:46 CEST by the dblp team
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