Galina Zubkova

21 papers A* 4A 1B 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark. EMNLP Ivan Sviridov, Amina Miftakhova, Artemiy Tereshchenko, Galina Zubkova, Pavel Blinov, Andrey V. Savchenko
2025	J	`jnl`	3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark. CoRR Ivan Sviridov, Amina Miftakhova, Artemiy Tereshchenko, Galina Zubkova, Pavel Blinov, Andrey V. Savchenko
2025	A	`conf`	CardioSyntax: End-to-End SYNTAX Score Prediction - Dataset, Benchmark and Method. WACV Alexander Ponomarchuk, Ivan Kruzhilov, Gleb Mazanov, Ruslan Utegenov, Artem Shadrin, Galina Zubkova, Ivan Bessonov, Pavel Blinov
2025	A*	`conf`	Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation. ACM Multimedia Konstantin Egorov, Stepan Botman, Pavel Blinov, Galina Zubkova, Anton Ivaschenko, Alexander Kolsanov, Andrey V. Savchenko
2025	J	`jnl`	Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation. CoRR Konstantin Egorov, Stepan Botman, Pavel Blinov, Galina Zubkova, Anton Ivaschenko, Alexander Kolsanov, Andrey V. Savchenko
2025	—	`conf`	MADD: Multi-Agent Drug Discovery Orchestra. EMNLP (Findings) Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kaluzhnaya, Andrey V. Savchenko
2025	J	`jnl`	MADD: Multi-Agent Drug Discovery Orchestra. CoRR Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kaluzhnaya, Andrey V. Savchenko
2025	A*	`conf`	RuCCoD: Towards Automated ICD Coding in Russian. EMNLP Alexandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov, Airat Valiev, Vladimir Makharev, Petr Anokhin, Galina Zubkova, Elena Tutubalina
2025	J	`jnl`	RuCCoD: Towards Automated ICD Coding in Russian. CoRR Aleksandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov, Airat Valiev, Vladimir Makharev, Petr Anokhin, Galina Zubkova, Elena Tutubalina
2024	J	`jnl`	End-to-end SYNTAX score prediction: benchmark and methods. CoRR Alexander Ponomarchuk, Ivan Kruzhilov, Galina Zubkova, Artem Shadrin, Ruslan Utegenov, Ivan Bessonov, Pavel Blinov
2024	A*	`conf`	GigaPevt: Multimodal Medical Assistant. IJCAI Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey V. Savchenko
2024	J	`jnl`	GigaPevt: Multimodal Medical Assistant. CoRR Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey V. Savchenko
2024	—	`conf`	MedSyn: LLM-Based Synthetic Medical Text Generation Framework. ECML/PKDD (10) Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov, Galina Zubkova, Nikolai Zenovkin, Aleksei Goncharov, Andrey V. Savchenko
2024	J	`jnl`	MedSyn: LLM-based Synthetic Medical Text Generation Framework. CoRR Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov, Galina Zubkova, Nikolai Zenovkin, Aleksei Goncharov, Andrey V. Savchenko
2023	J	`jnl`	Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making. CoRR Dmitriy Umerenkov, Galina Zubkova, Aleksandr Nesterov
2023	J	`jnl`	Neural network-based coronary dominance classification of RCA angiograms. CoRR Ivan Kruzhilov, Egor Ikryannikov, Artem Shadrin, Ruslan Utegenov, Galina Zubkova, Ivan Bessonov
2022	B	`conf`	NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. AIME Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
2022	J	`jnl`	NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. CoRR Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
2022	—	`conf`	RuCCoN: Clinical Concept Normalization in Russian. ACL (Findings) Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko
2022	B	`conf`	RuMedBench: A Russian Medical Language Understanding Benchmark. AIME Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh
2022	J	`jnl`	RuMedBench: A Russian Medical Language Understanding Benchmark. CoRR Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.