Image Recognition with a Large Database Using Method of Directed Enumeration Alternatives Modification. - Andrey V. Savchenko (RSFDGrC, 2011)

Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network. - Andrey V. Savchenko (ANNPR, 2012)

Face Recognition in Real-Time Applications: A Comparison of Directed Enumeration Method and K-d Trees. - Andrey V. Savchenko (BIR, 2012)

Directed enumeration method in image recognition. - Andrey V. Savchenko (Pattern Recognit., 2012)

Real-Time Image Recognition with the Parallel Directed Enumeration Method. - Andrey V. Savchenko (ICVS, 2013)

Fuzzy Phonetic Decoding Method in a Phoneme Recognition Problem. - Lyudmila V. Savchenko; Andrey V. Savchenko (NOLISP, 2013)

Phonetic words decoding software in the problem of Russian speech recognition. - Andrey V. Savchenko (Autom. Remote. Control., 2013)

Probabilistic neural network with homogeneity testing in recognition of discrete patterns set. - Andrey V. Savchenko (Neural Networks, 2013)

A Fast Mathematical Morphological Algorithm of Video-Based Moving Forklift Truck Detection in Noisy Environment. - Vladimir O. Chernousov; Andrey V. Savchenko (AIST, 2014)

Nonlinear Transformation of the Distance Function in the Nearest Neighbor Image Recognition. - Andrey V. Savchenko (CompIMAGE, 2014)

Semi-automated Speaker Adaptation: How to Control the Quality of Adaptation? - Andrey V. Savchenko (ICISP, 2014)

Classification of a Sequence of Objects with the Fuzzy Decoding Method. - Andrey V. Savchenko; Lyudmila V. Savchenko (RSCTC, 2014)

Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition. - Andrey V. Savchenko (CoRR, 2014)

Noise Resistant Morphological Algorithm of Moving Forklift Truck Detection on Noisy Image Data. - Vladimir O. Chernousov; Andrey V. Savchenko (Int. J. Concept. Struct. Smart Appl., 2014)

Sequential Hierarchical Image Recognition Based on the Pyramid Histograms of Oriented Gradients with Small Samples. - Andrey V. Savchenko; Vladimir R. Milov; Natalya S. Belova (AIST, 2015)

An Optimal Greedy Approximate Nearest Neighbor Method in Statistical Pattern Recognition. - Andrey V. Savchenko (PReMI, 2015)

Statistical Testing Of Segment Homogeneity In Classification Of Piecewise-Regular Objects. - Andrey V. Savchenko; Natalya S. Belova (Int. J. Appl. Math. Comput. Sci., 2015)

Towards the creation of reliable voice control system based on a fuzzy approach. - Andrey V. Savchenko; Lyudmila V. Savchenko (Pattern Recognit. Lett., 2015)

Classification of Dangerous Situations for Small Sample Size Problem in Maintenance Decision Support Systems. - Vladimir R. Milov; Andrey V. Savchenko (AIST, 2016)

Pattern Classification with the Probabilistic Neural Networks Based on Orthogonal Series Kernel. - Andrey V. Savchenko (ISNN, 2016)

The maximal likelihood enumeration method for the problem of classifying piecewise regular objects. - Andrey V. Savchenko (Autom. Remote. Control., 2016)

Fast multi-class recognition of piecewise regular objects based on sequential three-way decisions and granular computing. - Andrey V. Savchenko (Knowl. Based Syst., 2016)

Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks. - Anastasiia D. Sokolova; Angelina S. Kharchevnikova; Andrey V. Savchenko (AIST, 2017)

Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search. - Andrey V. Savchenko (IbPRIA, 2017)

Group-level emotion recognition using transfer learning from face identification. - Alexandr G. Rassadin; Alexey S. Gruzdev; Andrey V. Savchenko (ICMI, 2017)

Neural Networks Compression for Language Modeling. - Artem M. Grachev; Dmitry I. Ignatov; Andrey V. Savchenko (PReMI, 2017)

Sequential Three-Way Decisions in Efficient Classification of Piecewise Stationary SpeechSignals. - Andrey V. Savchenko (IJCRS (2), 2017)

Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework. - Andrey V. Savchenko (CoRR, 2017)

Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition. - Andrey V. Savchenko; Natalya S. Belova (CoRR, 2017)

Clustering and maximum likelihood search for efficient statistical classification with medium-sized databases. - Andrey V. Savchenko (Optim. Lett., 2017)

Maximum-likelihood approximate nearest neighbor method in real-time image recognition. - Andrey V. Savchenko (Pattern Recognit., 2017)

Extraction of Visual Features for Recommendation of Products via Deep Learning. - Elena Andreeva 002; Dmitry I. Ignatov; Artem M. Grachev; Andrey V. Savchenko (AIST, 2018)

Emotion Recognition of a Group of People in Video Analytics Using Deep Off-the-Shelf Image Embeddings. - Alexander V. Tarasov; Andrey V. Savchenko (AIST, 2018)

Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features. - Andrey V. Savchenko (ICPR, 2018)

Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition. - Andrey V. Savchenko (SACI, 2018)

Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN. - Andrey V. Savchenko (CoRR, 2018)

Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features. - Andrey V. Savchenko; Natalya S. Belova (Expert Syst. Appl., 2018)

Multi-label Image Set Recognition in Visually-Aware Recommender Systems. - Kirill V. Demochkin; Andrey V. Savchenko (AIST, 2019)

Fast Nearest-Neighbor Classifier Based on Sequential Analysis of Principal Components. - Anastasiia D. Sokolova; Andrey V. Savchenko (AIST, 2019)

User Modeling on Mobile Device Based on Facial Clustering and Object Detection in Photos and Videos. - Ivan S. Grechikhin; Andrey V. Savchenko (IbPRIA (2), 2019)

Scene Recognition in User Preference Prediction Based on Classification of Deep Embeddings and Object Detection. - Andrey V. Savchenko; Alexandr G. Rassadin (ISNN (2), 2019)

Compression of recurrent neural networks for efficient language modeling. - Artem M. Grachev; Dmitry I. Ignatov; Andrey V. Savchenko (Appl. Soft Comput., 2019)

User Preference Prediction in Visual Data on Mobile Devices. - Andrey V. Savchenko; Kirill V. Demochkin; Ivan S. Grechikhin (CoRR, 2019)

Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning. - Andrey V. Savchenko (CoRR, 2019)

Sequential three-way decisions in multi-category image recognition with deep features based on distance factor. - Andrey V. Savchenko (Inf. Sci., 2019)

Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet. - Andrey V. Savchenko (PeerJ Comput. Sci., 2019)

Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors. - Ilya Gavrikov; Andrey V. Savchenko (AIST (Supplement), 2020)

Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. - Andrey V. Savchenko; Anton Alekseev 001; Sejeong Kwon; Elena Tutubalina; Evgeny Myasnikov; Sergey I. Nikolenko (COLING, 2020)

A New Sport Teams Logo Dataset for Detection Tasks. - Andrey Kuznetsov; Andrey V. Savchenko (ICCVG, 2020)

Detection and Recognition of Food in Photo Galleries for Analysis of User Preferences. - Evgeniy V. Miasnikov; Andrey V. Savchenko (ICIAR (1), 2020)

MobileEmotiFace: Efficient Facial Image Representations in Video-Based Emotion Recognition on Mobile Devices. - Polina Demochkina; Andrey V. Savchenko (ICPR Workshops (5), 2020)

Event Recognition Based on Classification of Generated Image Captions. - Andrey V. Savchenko; Evgeniy V. Miasnikov (IDA, 2020)

Sequential Analysis with Specified Confidence Level and Adaptive Convolutional Neural Networks in Image Recognition. - Andrey V. Savchenko (IJCNN, 2020)

Event Recognition with Automatic Album Detection based on Sequential Grouping of Confidence Scores and Neural Attention. - Andrey V. Savchenko (IJCNN, 2020)

Optimization of Gain in Symmetrized Itakura-Saito Discrimination for Pronunciation Learning. - Andrey V. Savchenko; Vladimir V. Savchenko; Lyudmila V. Savchenko (MOTOR, 2020)

Gender domain adaptation for automatic speech recognition task. - Artem Sokolov; Andrey V. Savchenko (CoRR, 2020)

Probabilistic Neural Network With Complex Exponential Activation Functions in Image Recognition. - Andrey V. Savchenko (IEEE Trans. Neural Networks Learn. Syst., 2020)

Group-Level Affect Recognition in Video Using Deviation of Frame Features. - Andrey V. Savchenko; Lyudmila V. Savchenko; Natalya S. Belova (AIST, 2021)

User Preference Prediction in Visual Data on Mobile Devices. - Andrey V. Savchenko (IJCNN, 2021)

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks. - Andrey V. Savchenko (SISY, 2021)

Speaker-Aware Training of Speech Emotion Classifier with Speaker Recognition. - Lyudmila V. Savchenko; Andrey V. Savchenko (SPECOM, 2021)

Temporal Graph Network Embedding with Causal Anonymous Walks Representations. - Ilya Makarov; Andrey V. Savchenko; Arseny Korovko; Leonid Sherstyuk; Nikita Severin; Aleksandr Mikheev; Dmitrii Babaev (CoRR, 2021)

Fast inference in convolutional neural networks based on sequential three-way decisions. - Andrey V. Savchenko (Inf. Sci., 2021)

Efficient video face recognition based on frame selection and quality assessment. - Angelina S. Kharchevnikova; Andrey V. Savchenko (PeerJ Comput. Sci., 2021)

Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets. - Andrey V. Savchenko (CVPR Workshops, 2022)

MT-EmotiEffNet for Multi-task Human Affective Behavior Analysis and Learning from Synthetic Data. - Andrey V. Savchenko (ECCV Workshops (6), 2022)

Personalized Frame-Level Facial Expression Recognition in Video. - Andrey V. Savchenko (ICPRAI (1), 2022)

Open-Set Face Identification with Sequential Analysis and Out-of-Distribution Data Detection*. - Anastasiia D. Sokolova; Andrey V. Savchenko (IJCNN, 2022)

Recommending Restaurants based on Classification of Photos from the Gallery of Mobile Device. - Andrey V. Savchenko (SISY, 2022)

Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices. - Andrey V. Savchenko (CoRR, 2022)

HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images. - Andrey V. Savchenko (CoRR, 2022)

Sequential analysis in Fourier probabilistic neural networks. - Andrey V. Savchenko; Natalya S. Belova (Expert Syst. Appl., 2022)

Gain-optimized spectral distortions for pronunciation training. - Andrey V. Savchenko; Vladimir V. Savchenko; Lyudmila V. Savchenko (Optim. Lett., 2022)

Temporal network embedding framework with causal anonymous walks representations. - Ilya Makarov; Andrey V. Savchenko; Arseny Korovko; Leonid Sherstyuk; Nikita Severin; Dmitrii Kiselev; Aleksandr Mikheev; Dmitrii Babaev (PeerJ Comput. Sci., 2022)

Preference prediction based on a photo gallery analysis with scene recognition and object detection. - Andrey V. Savchenko; Kirill V. Demochkin; Ivan S. Grechikhin (Pattern Recognit., 2022)

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network. - Andrey V. Savchenko; Lyudmila V. Savchenko; Ilya Makarov (IEEE Trans. Affect. Comput., 2022)

HSEmotion: High-speed emotion recognition library. - Andrey V. Savchenko (Softw. Impacts, 2022)

Learning Facial Expression Recognition In-the-Wild from Synthetic Data Based on an Ensemble of Lightweight Neural Networks. - Long Nguyen; Andrey V. Savchenko (AIST (Supplement), 2023)

EmotiEffNets for Facial Processing in Video-based Valence-Arousal Prediction, Expression Classification and Action Unit Detection. - Andrey V. Savchenko (CVPR Workshops, 2023)

Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction. - Andrey V. Savchenko (ICML, 2023)

Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. - Nikita Severin; Andrey V. Savchenko; Dmitrii Kiselev; Maria Ivanova; Ivan Kireev; Ilya Makarov (RecSys, 2023)

Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator. - Andrey V. Savchenko; Lyudmila V. Savchenko; Ilya Makarov (IEEE Access, 2023)

EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition. - Andrey V. Savchenko (CoRR, 2023)

A standalone software for real-time facial analysis in online conferences and e-lessons. - Egor Churaev; Andrey V. Savchenko (Softw. Impacts, 2023)

Three-way classification for sequences of observations. - Andrey V. Savchenko; Lyudmila V. Savchenko (Inf. Sci., 2023)

To Kill a Student's Disengagement: Personalized Engagement Detection in Facial Video. - Egor Churaev; Andrey V. Savchenko (AIED Companion (1), 2024)

Temporal Modeling via TCN and Transformer for Audio-Visual Emotion Recognition. - Aleksei A. Andreev; Andrey V. Savchenko (AIST, 2024)

Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild. - Andrey V. Savchenko (CVPR Workshops, 2024)

EmotiEffNet and Temporal Convolutional Networks in Video-based Facial Expression Recognition and Action Unit Detection. - Andrey V. Savchenko; Anna P. Sidorova (CVPR Workshops, 2024)

CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition. - Bashar M. Deeb; Andrey V. Savchenko; Ilya Makarov (ECAI, 2024)

InsideOut: Unifying Emotional LLMs to Foster Empathy. - Mikhail Mozikov; Nikita Severin; Maria Glushanina; Mikhail Baklashkin; Andrey V. Savchenko; Ilya Makarov (ECAI, 2024)

Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet. - Andrey V. Savchenko; Dmitry Maslov; Ilya Makarov (ECAI, 2024)

Multi-task Affective Behaviour Analysis Based on MT-EmotiNet Models. - Andrey V. Savchenko (ECCV Workshops (15), 2024)

Smoothing Predictions of Multi-task EmotiNet Models for Compound Facial Expression Recognition. - Andrey V. Savchenko (ECCV Workshops (15), 2024)

Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures. - Veronika Ganeeva; Andrey Sakhovskiy; Kuzma Khrabrov; Andrey V. Savchenko; Artur Kadurin; Elena Tutubalina (EMNLP (Findings), 2024)

From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT. - Danil Kononykhin; Mikhail Mozikov; Kirill Mishtal; Pavel Kuznetsov; Dmitrii Abramov; Nazar Sotiriadi; Yury Maximov; Andrey V. Savchenko; Ilya Makarov (SIGSPATIAL/GIS, 2024)

Video-based learning of sign languages: one pre-train to fit them all. - Maxim Novopoltsev; Aleksandr Tulenkov; Ruslan Murtazin; Roman Akhidov; Iuliia Zemtsova; Emilia Bojarskaja; Daria Bondarenko; Andrey V. Savchenko; Ilya Makarov (ICDM (Workshops), 2024)

Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real Adaptation. - Ildar Nurgaliev; Andre Kuzminykh; Andrey V. Savchenko; Ilya Makarov (ICDM (Workshops), 2024)

LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. - Nikita Severin; Aleksei Ziablitsev; Yulia Savelyeva; Valeriy Tashchilin; Ivan Bulychev; Mikhail Yushkov; Artem Kushneruk; Amaliya Zaryvnykh; Dmitrii Kiselev; Andrey V. Savchenko; Ilya Makarov (ICDM (Workshops), 2024)

Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task. - Veronika Ganeeva; Kuzma Khrabrov; Artur Kadurin; Andrey V. Savchenko; Elena Tutubalina (Tiny Papers @ ICLR, 2024)

GigaPevt: Multimodal Medical Assistant. - Pavel Blinov; Konstantin Egorov; Ivan Sviridov; Nikolay Ivanov; Stepan Botman; Evgeniy Tagin; Stepan Kudin; Galina Zubkova; Andrey V. Savchenko (IJCAI, 2024)

Inside Out: Emotional Multiagent Multimodal Dialogue Systems. - Andrey V. Savchenko; Lyudmila V. Savchenko (IJCAI, 2024)

Pose Networks Unveiled: Bridging the Gap for Monocular Depth Perception. - Yazan Dayoub; Andrey V. Savchenko; Ilya Makarov (ISMAR-Adjunct, 2024)

From Variability to Stability: Advancing RecSys Benchmarking Practices. - Valeriy Shevchenko; Nikita Belousov; Alexey Vasilev; Vladimir Zholobov; Artyom Sosedka; Natalia Semenova; Anna Volodkevich; Andrey V. Savchenko; Alexey Zaytsev 002 (KDD, 2024)

Leveraging Summarization for Unsupervised Dialogue Topic Segmentation. - Aleksei Artemiev; Daniil Parinov; Alexey Grishanov; Ivan Borisov; Alexey Vasilev; Daniil Muravetskii; Aleksey Rezvykh; Aleksei Goncharov; Andrey V. Savchenko (NAACL-HLT (Findings), 2024)

EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas. - Mikhail Mozikov; Nikita Severin; Valeria Bodishtianu; Maria Glushanina; Ivan Nasonov; Daniil Orekhov; Pekhotin Vladislav; Ivan Makovetskiy; Mikhail Baklashkin; Vasily Lavrentyev; Akim Tsvigun; Denis Turdakov; et al. (NeurIPS, 2024)

MedSyn: LLM-Based Synthetic Medical Text Generation Framework. - Gleb Kumichev; Pavel Blinov; Yulia Kuzkina; Vasily Goncharov; Galina Zubkova; Nikolai Zenovkin; Aleksei Goncharov; Andrey V. Savchenko (ECML/PKDD (10), 2024)

Neural Click Models for Recommender Systems. - Mikhail Shirokikh; Ilya Shenbin; Anton Alekseev 001; Anna Volodkevich; Alexey Vasilev; Andrey V. Savchenko; Sergey I. Nikolenko (SIGIR, 2024)

Enhancing Autonomous Driving With Spatial Memory and Attention in Reinforcement Learning. - Matvey Gerasyov; Andrey V. Savchenko; Ilya Makarov (IEEE Access, 2024)

AutoFace: How to Obtain Mobile Neural Network-Based Facial Feature Extractor in Less Than 10 Minutes? - Andrey V. Savchenko (IEEE Access, 2024)

Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild. - Ilia Semenkov; Aleksei Karpov; Andrey V. Savchenko; Ilya Makarov (IEEE Access, 2024)

HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction. - Andrey V. Savchenko (CoRR, 2024)

Universal representations for financial transactional data: embracing local, global, and external contexts. - Alexandra Bazarova; Maria Kovaleva; Ilya Kuleshov; Evgenia Romanenkova; Alexander Stepikin; Alexandr Yugay; Dzhambulat Mollaev; Ivan Kireev; Andrey V. Savchenko; Alexey Zaytsev 002 (CoRR, 2024)

The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games. - Mikhail Mozikov; Nikita Severin; Valeria Bodishtianu; Maria Glushanina; Mikhail Baklashkin; Andrey V. Savchenko; Ilya Makarov (CoRR, 2024)

ESQA: Event Sequences Question Answering. - Irina Abdullaeva; Andrei Filatov; Mikhail Orlov; Ivan Karpukhin; Viacheslav Vasilev; Denis Dimitrov; Andrey Kuznetsov; Ivan Kireev; Andrey V. Savchenko (CoRR, 2024)

HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and Compound Facial Expression Recognition. - Andrey V. Savchenko (CoRR, 2024)

Multimodal Banking Dataset: Understanding Client Needs through Event Sequences. - Dzhambulat Mollaev; Alexander Kostin; Postnova Maria; Ivan Karpukhin; Ivan Kireev; Gleb Gusev; Andrey V. Savchenko (CoRR, 2024)

Leveraging Lightweight Facial Models and Textual Modality in Audio-visual Emotional Understanding in-the-Wild. - Andrey V. Savchenko; Lyudmila V. Savchenko (CVPR Workshops, 2025)

Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem. - Oleg Kachan; Andrey V. Savchenko; Gleb Gusev (KDD (1), 2025)

Enhancing Emotion Recognition in Speech Based on Self-Supervised Learning: Cross-Attention Fusion of Acoustic and Semantic Features. - Bashar M. Deeb; Andrey V. Savchenko; Ilya Makarov (IEEE Access, 2025)

Learning transactions representations for information management in banks: Mastering local, global, and external knowledge. - Alexandra Bazarova; Maria Kovaleva; Ilya Kuleshov; Evgenia Romanenkova; Alexander Stepikin; Aleksandr Yugay; Dzhambulat Mollaev; Ivan Kireev; Andrey V. Savchenko; Alexey Zaytsev 002 (Int. J. Inf. Manag. Data Insights, 2025)

Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network. - Yazan Dayoub; Andrey V. Savchenko; Ilya Makarov (IEEE Open J. Comput. Soc., 2025)

HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition. - Andrey V. Savchenko (CoRR, 2025)

Hallucination Detection in LLMs via Topological Divergence on Attention Graphs. - Alexandra Bazarova; Aleksandr Yugay; Andrey Shulga; Alina Ermilova; Andrei V. Sokolov; Konstantin Polev; Julia Belikova; Rauf Parchiev; Dmitry Simakov; Maxim Savchenko; Andrey V. Savchenko; Serguei Barannikov; et al. (CoRR, 2025)

3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark. - Ivan Sviridov; Amina Miftakhova; Artemiy Tereshchenko; Galina Zubkova; Pavel Blinov; Andrey V. Savchenko (CoRR, 2025)

ATGen: A Framework for Active Text Generation. - Akim Tsvigun; Daniil Vasilev; Ivan Tsvigun; Ivan Lysenko; Talgat Bektleuov; Aleksandr Medvedev; Uliana Vinogradova; Nikita Severin; Mikhail Mozikov; Andrey V. Savchenko; Rostislav Grigorev; Ramil Kuleev; et al. (CoRR, 2025)

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data. - Aleksey Lapin; Igor Hromov; Stanislav Chumakov; Mile Mitrovic; Dmitry Simakov; Nikolay O. Nikitin; Andrey V. Savchenko (CoRR, 2025)

LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models. - Aleksei Shestov; Omar Zoloev; Maksim Makarenko; Mikhail Orlov; Egor Fadeev; Ivan Kireev; Andrey V. Savchenko (CoRR, 2025)

eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion. - Daria Tikhonovich; Nikita Zelinskiy; Aleksandr V. Petrov; Mayya Spirina; Andrei Semenov; Andrey V. Savchenko; Sergei Kuliev (CoRR, 2025)

LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients. - Egor Fadeev; Dzhambulat Mollaev; Aleksei Shestov; Dima Korolev; Omar Zoloev; Ivan Kireev; Andrey V. Savchenko; Maksim Makarenko (CoRR, 2025)