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ORCIDAndrey V. Savchenko
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- affiliation: National Research University Higher School of Economics, Nizhny Novgorod, Russia
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2020 – today
- 2025
[j31]Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov
, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev:
Learning transactions representations for information management in banks: Mastering local, global, and external knowledge. Int. J. Inf. Manag. Data Insights 5(1): 100323 (2025)- [j30]Yazan Dayoub, Andrey V. Savchenko, Ilya Makarov:
Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network. IEEE Open J. Comput. Soc. 6: 109-118 (2025) - [c66]Oleg Kachan, Andrey V. Savchenko, Gleb Gusev:
Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem. KDD (1) 2025: 625-635 - [i28]Oleg Kachan, Andrey V. Savchenko, Gleb Gusev:
Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem. CoRR abs/2503.03418 (2025) - [i27]Andrey V. Savchenko:
HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition. CoRR abs/2503.10399 (2025) - 2024
- [j29]Ilia Semenkov, Aleksei Karpov, Andrey V. Savchenko, Ilya Makarov:
Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild. IEEE Access 12: 5163-5176 (2024) - [j28]Andrey V. Savchenko:
AutoFace: How to Obtain Mobile Neural Network-Based Facial Feature Extractor in Less Than 10 Minutes? IEEE Access 12: 25106-25118 (2024) - [j27]Matvey Gerasyov, Andrey V. Savchenko, Ilya Makarov:
Enhancing Autonomous Driving With Spatial Memory and Attention in Reinforcement Learning. IEEE Access 12: 173316-173324 (2024) - [c65]Egor Churaev, Andrey V. Savchenko:
To Kill a Student's Disengagement: Personalized Engagement Detection in Facial Video. AIED Companion (1) 2024: 329-337 - [c64]Andrey V. Savchenko:
Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild. CVPR Workshops 2024: 4703-4712 - [c63]Andrey V. Savchenko, Anna P. Sidorova:
EmotiEffNet and Temporal Convolutional Networks in Video-based Facial Expression Recognition and Action Unit Detection. CVPR Workshops 2024: 4849-4859 - [c62]Andrey V. Savchenko, Dmitry Maslov, Ilya Makarov:
Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet. ECAI 2024: 4439-4442 - [c61]Bashar M. Deeb, Andrey V. Savchenko, Ilya Makarov:
CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition. ECAI 2024: 4479-4482 - [c60]Mikhail Mozikov, Nikita Severin, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov:
InsideOut: Unifying Emotional LLMs to Foster Empathy. ECAI 2024: 4499-4502 - [c59]Veronika Ganeeva, Andrey Sakhovskiy, Kuzma Khrabrov, Andrey V. Savchenko, Artur Kadurin, Elena Tutubalina:
Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures. EMNLP (Findings) 2024: 12994-13013 - [c58]Danil Kononykhin, Mikhail Mozikov, Kirill Mishtal, Pavel Kuznetsov, Dmitrii Abramov, Nazar Sotiriadi, Yury Maximov, Andrey V. Savchenko, Ilya Makarov:
From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT. SIGSPATIAL/GIS 2024: 649-652 - [c57]Ildar Nurgaliev, Andre Kuzminykh, Andrey V. Savchenko, Ilya Makarov:
Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real Adaptation. ICDM (Workshops) 2024: 895-898 - [c56]Veronika Ganeeva, Kuzma Khrabrov, Artur Kadurin, Andrey V. Savchenko, Elena Tutubalina:
Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task. Tiny Papers @ ICLR 2024 - [c55]Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey V. Savchenko:
GigaPevt: Multimodal Medical Assistant. IJCAI 2024: 8614-8618 - [c54]Andrey V. Savchenko, Lyudmila V. Savchenko:
Inside Out: Emotional Multiagent Multimodal Dialogue Systems. IJCAI 2024: 8784-8788 - [c53]Yazan Dayoub, Andrey V. Savchenko, Ilya Makarov:
Pose Networks Unveiled: Bridging the Gap for Monocular Depth Perception. ISMAR-Adjunct 2024: 584-587 - [c52]Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey V. Savchenko, Alexey Zaytsev:
From Variability to Stability: Advancing RecSys Benchmarking Practices. KDD 2024: 5701-5712 - [c51]Aleksei Artemiev, Daniil Parinov, Alexey Grishanov, Ivan Borisov, Alexey Vasilev, Daniil Muravetskii, Aleksey Rezvykh, Aleksei Goncharov, Andrey V. Savchenko:
Leveraging Summarization for Unsupervised Dialogue Topic Segmentation. NAACL-HLT (Findings) 2024: 4697-4704 - [c50]Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov, Galina Zubkova, Nikolai Zenovkin, Aleksei Goncharov, Andrey V. Savchenko:
MedSyn: LLM-Based Synthetic Medical Text Generation Framework. ECML/PKDD (10) 2024: 215-230 - [c49]Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko:
Neural Click Models for Recommender Systems. SIGIR 2024: 2553-2558 - [e14]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
Recent Trends in Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers. Communications in Computer and Information Science 1905, Springer 2024, ISBN 978-3-031-67007-7 [contents] - [e13]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14486, Springer 2024, ISBN 978-3-031-54533-7 [contents] - [i26]Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey V. Savchenko, Alexey Zaytsev:
From Variability to Stability: Advancing RecSys Benchmarking Practices. CoRR abs/2402.09766 (2024) - [i25]Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey V. Savchenko:
GigaPevt: Multimodal Medical Assistant. CoRR abs/2402.16654 (2024) - [i24]Andrey V. Savchenko:
HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction. CoRR abs/2403.11590 (2024) - [i23]Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Alexandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev:
Universal representations for financial transactional data: embracing local, global, and external contexts. CoRR abs/2404.02047 (2024) - [i22]Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov:
The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games. CoRR abs/2406.03299 (2024) - [i21]Irina Abdullaeva, Andrei Filatov, Mikhail Orlov, Ivan Karpukhin, Viacheslav Vasilev, Denis Dimitrov, Andrey Kuznetsov, Ivan Kireev, Andrey V. Savchenko:
ESQA: Event Sequences Question Answering. CoRR abs/2407.12833 (2024) - [i20]Andrey V. Savchenko:
HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and Compound Facial Expression Recognition. CoRR abs/2407.13184 (2024) - [i19]Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov, Galina Zubkova, Nikolai Zenovkin, Aleksei Goncharov, Andrey V. Savchenko:
MedSyn: LLM-based Synthetic Medical Text Generation Framework. CoRR abs/2408.02056 (2024) - [i18]Dzhambulat Mollaev, Alexander Kostin, Postnova Maria, Ivan Karpukhin, Ivan Kireev, Gleb Gusev, Andrey V. Savchenko:
Multimodal Banking Dataset: Understanding Client Needs through Event Sequences. CoRR abs/2409.17587 (2024) - [i17]Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko:
Neural Click Models for Recommender Systems. CoRR abs/2409.20055 (2024) - 2023
- [j26]Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov:
Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator. IEEE Access 11: 65977-65990 (2023) - [j25]Andrey V. Savchenko, Lyudmila V. Savchenko:
Three-way classification for sequences of observations. Inf. Sci. 648: 119540 (2023) - [j24]Egor Churaev, Andrey V. Savchenko:
A standalone software for real-time facial analysis in online conferences and e-lessons. Softw. Impacts 16: 100507 (2023) - [c48]Long Nguyen, Andrey V. Savchenko:
Learning Facial Expression Recognition In-the-Wild from Synthetic Data Based on an Ensemble of Lightweight Neural Networks. AIST (Supplement) 2023: 209-221 - [c47]Andrey V. Savchenko:
EmotiEffNets for Facial Processing in Video-based Valence-Arousal Prediction, Expression Classification and Action Unit Detection. CVPR Workshops 2023: 5716-5724 - [c46]Andrey V. Savchenko:
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction. ICML 2023: 30119-30129 - [c45]Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov:
Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. RecSys 2023: 919-925 - [i16]Andrey V. Savchenko:
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition. CoRR abs/2303.09162 (2023) - 2022
- [j23]Andrey V. Savchenko, Natalya S. Belova:
Sequential analysis in Fourier probabilistic neural networks. Expert Syst. Appl. 207: 117885 (2022) - [j22]Andrey V. Savchenko, Vladimir V. Savchenko, Lyudmila V. Savchenko:
Gain-optimized spectral distortions for pronunciation training. Optim. Lett. 16(7): 2095-2113 (2022) - [j21]Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev:
Temporal network embedding framework with causal anonymous walks representations. PeerJ Comput. Sci. 8: e858 (2022) - [j20]Andrey V. Savchenko, Kirill V. Demochkin, Ivan S. Grechikhin:
Preference prediction based on a photo gallery analysis with scene recognition and object detection. Pattern Recognit. 121: 108248 (2022) - [j19]Andrey V. Savchenko:
HSEmotion: High-speed emotion recognition library. Softw. Impacts 14: 100433 (2022) - [j18]Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov:
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network. IEEE Trans. Affect. Comput. 13(4): 2132-2143 (2022) - [c44]Andrey V. Savchenko:
Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets. CVPR Workshops 2022: 2358-2365 - [c43]Andrey V. Savchenko:
MT-EmotiEffNet for Multi-task Human Affective Behavior Analysis and Learning from Synthetic Data. ECCV Workshops (6) 2022: 45-59 - [c42]Andrey V. Savchenko:
Personalized Frame-Level Facial Expression Recognition in Video. ICPRAI (1) 2022: 447-458 - [c41]Anastasiia D. Sokolova, Andrey V. Savchenko:
Open-Set Face Identification with Sequential Analysis and Out-of-Distribution Data Detection*. IJCNN 2022: 1-8 - [c40]Andrey V. Savchenko:
Recommending Restaurants based on Classification of Photos from the Gallery of Mobile Device. SISY 2022: 431-436 - [e12]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e11]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents] - [i15]Andrey V. Savchenko:
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices. CoRR abs/2203.13436 (2022) - [i14]Andrey V. Savchenko:
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images. CoRR abs/2207.09508 (2022) - 2021
- [j17]Andrey V. Savchenko:
Fast inference in convolutional neural networks based on sequential three-way decisions. Inf. Sci. 560: 370-385 (2021) - [j16]Angelina S. Kharchevnikova, Andrey V. Savchenko:
Efficient video face recognition based on frame selection and quality assessment. PeerJ Comput. Sci. 7: e391 (2021) - [c39]Andrey V. Savchenko, Lyudmila V. Savchenko, Natalya S. Belova:
Group-Level Affect Recognition in Video Using Deviation of Frame Features. AIST 2021: 199-207 - [c38]Andrey V. Savchenko:
User Preference Prediction in Visual Data on Mobile Devices. IJCNN 2021: 1-7 - [c37]Andrey V. Savchenko:
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks. SISY 2021: 119-124 - [c36]Lyudmila V. Savchenko, Andrey V. Savchenko:
Speaker-Aware Training of Speech Emotion Classifier with Speaker Recognition. SPECOM 2021: 614-625 - [e10]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e9]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [i13]Andrey V. Savchenko:
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks. CoRR abs/2103.17107 (2021) - [i12]Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev:
Temporal Graph Network Embedding with Causal Anonymous Walks Representations. CoRR abs/2108.08754 (2021) - 2020
- [j15]Andrey V. Savchenko:
Probabilistic Neural Network With Complex Exponential Activation Functions in Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(2): 651-660 (2020) - [c35]Ilya Gavrikov, Andrey V. Savchenko:
Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors. AIST (Supplement) 2020: 140-148 - [c34]Andrey V. Savchenko, Anton Alekseev, Sejeong Kwon, Elena Tutubalina, Evgeny Myasnikov, Sergey I. Nikolenko:
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. COLING 2020: 1886-1892 - [c33]Andrey Kuznetsov, Andrey V. Savchenko:
A New Sport Teams Logo Dataset for Detection Tasks. ICCVG 2020: 87-97 - [c32]Evgeniy V. Miasnikov, Andrey V. Savchenko:
Detection and Recognition of Food in Photo Galleries for Analysis of User Preferences. ICIAR (1) 2020: 83-94 - [c31]Polina Demochkina, Andrey V. Savchenko:
MobileEmotiFace: Efficient Facial Image Representations in Video-Based Emotion Recognition on Mobile Devices. ICPR Workshops (5) 2020: 266-274 - [c30]Andrey V. Savchenko, Evgeniy V. Miasnikov:
Event Recognition Based on Classification of Generated Image Captions. IDA 2020: 418-430 - [c29]Andrey V. Savchenko:
Sequential Analysis with Specified Confidence Level and Adaptive Convolutional Neural Networks in Image Recognition. IJCNN 2020: 1-8 - [c28]Andrey V. Savchenko:
Event Recognition with Automatic Album Detection based on Sequential Grouping of Confidence Scores and Neural Attention. IJCNN 2020: 1-8 - [c27]Andrey V. Savchenko, Vladimir V. Savchenko, Lyudmila V. Savchenko:
Optimization of Gain in Symmetrized Itakura-Saito Discrimination for Pronunciation Learning. MOTOR 2020: 440-454 - [e8]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [i11]Artem Sokolov, Andrey V. Savchenko:
Gender domain adaptation for automatic speech recognition task. CoRR abs/2010.04224 (2020)
2010 – 2019
- 2019
- [j14]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of recurrent neural networks for efficient language modeling. Appl. Soft Comput. 79: 354-362 (2019) - [j13]Andrey V. Savchenko:
Sequential three-way decisions in multi-category image recognition with deep features based on distance factor. Inf. Sci. 489: 18-36 (2019) - [j12]Andrey V. Savchenko:
Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet. PeerJ Comput. Sci. 5: e197 (2019) - [c26]Anastasiia D. Sokolova, Andrey V. Savchenko:
Fast Nearest-Neighbor Classifier Based on Sequential Analysis of Principal Components. AIST 2019: 73-80 - [c25]Kirill V. Demochkin, Andrey V. Savchenko:
Multi-label Image Set Recognition in Visually-Aware Recommender Systems. AIST 2019: 291-297 - [c24]Ivan S. Grechikhin, Andrey V. Savchenko:
User Modeling on Mobile Device Based on Facial Clustering and Object Detection in Photos and Videos. IbPRIA (2) 2019: 429-440 - [c23]Andrey V. Savchenko, Alexandr G. Rassadin:
Scene Recognition in User Preference Prediction Based on Classification of Deep Embeddings and Object Detection. ISNN (2) 2019: 422-430 - [e7]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [i10]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of Recurrent Neural Networks for Efficient Language Modeling. CoRR abs/1902.02380 (2019) - [i9]Andrey V. Savchenko, Kirill V. Demochkin, Ivan S. Grechikhin:
User Preference Prediction in Visual Data on Mobile Devices. CoRR abs/1907.04519 (2019) - [i8]Andrey V. Savchenko:
Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning. CoRR abs/1911.11010 (2019) - 2018
- [j11]Andrey V. Savchenko, Natalya S. Belova:
Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features. Expert Syst. Appl. 108: 170-182 (2018) - [c22]Alexander V. Tarasov, Andrey V. Savchenko:
Emotion Recognition of a Group of People in Video Analytics Using Deep Off-the-Shelf Image Embeddings. AIST 2018: 191-198 - [c21]Elena Andreeva, Dmitry I. Ignatov, Artem M. Grachev, Andrey V. Savchenko:
Extraction of Visual Features for Recommendation of Products via Deep Learning. AIST 2018: 201-210 - [c20]Andrey V. Savchenko:
Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features. ICPR 2018: 3262-3267 - [c19]Andrey V. Savchenko:
Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition. SACI 2018: 515-520 - [e6]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5 - 7, 2018. CEUR Workshop Proceedings 2268, CEUR-WS.org 2018 [contents] - [e5]Wil M. P. van der Aalst, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman:
Analysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10716, Springer 2018, ISBN 978-3-319-73012-7 [contents] - [e4]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11179, Springer 2018, ISBN 978-3-030-11026-0 [contents] - [i7]Andrey V. Savchenko:
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN. CoRR abs/1807.07718 (2018) - 2017
- [j10]Andrey V. Savchenko:
Clustering and maximum likelihood search for efficient statistical classification with medium-sized databases. Optim. Lett. 11(2): 329-341 (2017) - [j9]Andrey V. Savchenko:
Maximum-likelihood approximate nearest neighbor method in real-time image recognition. Pattern Recognit. 61: 459-469 (2017) - [c18]Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V. Savchenko:
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks. AIST 2017: 223-230 - [c17]Andrey V. Savchenko:
Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search. IbPRIA 2017: 42-49 - [c16]Alexandr G. Rassadin, Alexey S. Gruzdev, Andrey V. Savchenko:
Group-level emotion recognition using transfer learning from face identification. ICMI 2017: 544-548 - [c15]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Neural Networks Compression for Language Modeling. PReMI 2017: 351-357 - [c14]Andrey V. Savchenko:
Sequential Three-Way Decisions in Efficient Classification of Piecewise Stationary SpeechSignals. IJCRS (2) 2017: 264-277 - [e3]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science 661, 2017, ISBN 978-3-319-52919-6 [contents] - [e2]Wil M. P. van der Aalst, Mikhail Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman, Dmitry I. Ignatov:
Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27 - 29, 2017. CEUR Workshop Proceedings 1975, CEUR-WS.org 2017 [contents] - [i6]Andrey V. Savchenko:
Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework. CoRR abs/1708.02733 (2017) - [i5]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Neural Networks Compression for Language Modeling. CoRR abs/1708.05963 (2017) - [i4]Andrey V. Savchenko, Natalya S. Belova:
Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition. CoRR abs/1708.07972 (2017) - [i3]Alexandr G. Rassadin, Alexey S. Gruzdev, Andrey V. Savchenko:
Group-level Emotion Recognition using Transfer Learning from Face Identification. CoRR abs/1709.01688 (2017) - [i2]Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V. Savchenko:
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks. CoRR abs/1709.05675 (2017) - 2016
- [j8]Andrey V. Savchenko:
The maximal likelihood enumeration method for the problem of classifying piecewise regular objects. Autom. Remote. Control. 77(3): 443-450 (2016) - [j7]Andrey V. Savchenko:
Fast multi-class recognition of piecewise regular objects based on sequential three-way decisions and granular computing. Knowl. Based Syst. 91: 252-262 (2016) - [c13]Vladimir R. Milov, Andrey V. Savchenko:
Classification of Dangerous Situations for Small Sample Size Problem in Maintenance Decision Support Systems. AIST 2016: 338-345 - [c12]Andrey V. Savchenko:
Pattern Classification with the Probabilistic Neural Networks Based on Orthogonal Series Kernel. ISNN 2016: 505-512 - [e1]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Supplementary Proceedings of the Fifth International Conference on Analysis of Images, Social Networks and Texts (AIST 2016), Yekaterinburg, Russia, April 6-8, 2016. CEUR Workshop Proceedings 1710, CEUR-WS.org 2016 [contents] - 2015
- [j6]Andrey V. Savchenko, Natalya S. Belova:
Statistical Testing Of Segment Homogeneity In Classification Of Piecewise-Regular Objects. Int. J. Appl. Math. Comput. Sci. 25(4): 915-925 (2015) - [j5]Andrey V. Savchenko, Lyudmila V. Savchenko:
Towards the creation of reliable voice control system based on a fuzzy approach. Pattern Recognit. Lett. 65: 145-151 (2015) - [c11]Andrey V. Savchenko, Vladimir R. Milov, Natalya S. Belova:
Sequential Hierarchical Image Recognition Based on the Pyramid Histograms of Oriented Gradients with Small Samples. AIST 2015: 14-23 - [c10]Andrey V. Savchenko:
An Optimal Greedy Approximate Nearest Neighbor Method in Statistical Pattern Recognition. PReMI 2015: 236-245 - 2014
- [j4]Vladimir O. Chernousov, Andrey V. Savchenko:
Noise Resistant Morphological Algorithm of Moving Forklift Truck Detection on Noisy Image Data. Int. J. Concept. Struct. Smart Appl. 2(2): 36-54 (2014) - [c9]Vladimir O. Chernousov, Andrey V. Savchenko:
A Fast Mathematical Morphological Algorithm of Video-Based Moving Forklift Truck Detection in Noisy Environment. AIST 2014: 57-65 - [c8]Andrey V. Savchenko:
Nonlinear Transformation of the Distance Function in the Nearest Neighbor Image Recognition. CompIMAGE 2014: 261-266 - [c7]Andrey V. Savchenko:
Semi-automated Speaker Adaptation: How to Control the Quality of Adaptation? ICISP 2014: 638-646 - [c6]Andrey V. Savchenko, Lyudmila V. Savchenko:
Classification of a Sequence of Objects with the Fuzzy Decoding Method. RSCTC 2014: 309-318 - [i1]Andrey V. Savchenko:
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition. CoRR abs/1411.5555 (2014) - 2013
- [j3]Andrey V. Savchenko:
Phonetic words decoding software in the problem of Russian speech recognition. Autom. Remote. Control. 74(7): 1225-1232 (2013) - [j2]Andrey V. Savchenko:
Probabilistic neural network with homogeneity testing in recognition of discrete patterns set. Neural Networks 46: 227-241 (2013) - [c5]Andrey V. Savchenko:
Real-Time Image Recognition with the Parallel Directed Enumeration Method. ICVS 2013: 123-132 - [c4]Lyudmila V. Savchenko, Andrey V. Savchenko:
Fuzzy Phonetic Decoding Method in a Phoneme Recognition Problem. NOLISP 2013: 176-183 - 2012
- [j1]Andrey V. Savchenko:
Directed enumeration method in image recognition. Pattern Recognit. 45(8): 2952-2961 (2012) - [c3]Andrey V. Savchenko:
Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network. ANNPR 2012: 93-103 - [c2]Andrey V. Savchenko:
Face Recognition in Real-Time Applications: A Comparison of Directed Enumeration Method and K-d Trees. BIR 2012: 187-199 - 2011
- [c1]Andrey V. Savchenko:
Image Recognition with a Large Database Using Method of Directed Enumeration Alternatives Modification. RSFDGrC 2011: 338-341
Coauthor Index
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