14 citations · 24 across the 9 of their papers we have counts for
10 papers
LLM Agents Factory: Retrieval of Domain-Specific LLM Agents
Vitalii Belov, Artyom Sosedka, Andrey Sakhovskiy +3
Large language model (LLM) agents improve task performance by decomposing problems into role-specialized behaviors. However, their practical deployment is often limited by the comp…
SoccerNet 2026 Challenges Results
Anthony Cioppa, Silvio Giancola, Håkan Ardö +102
The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video underst…
PINE: Pipeline for Important Node Exploration in Attributed Networks
Elizaveta Kovtun, Maksim Makarenko, Natalia Semenova +2
A graph with semantically attributed nodes are a common data structure in a wide range of domains. It could be interlinked web data or citation networks of scientific publications.…
Unleashing the power of novel conditional generative approaches for new materials discovery
Lev Novitskiy, Vladimir Lazarev, Mikhail Tiutiulnikov +6
For a very long time, computational approaches to the design of new materials have relied on an iterative process of finding a candidate material and modeling its properties. AI ha…
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends
Andrei Zaichenko, Aleksei Kazakov, Elizaveta Kovtun +1
The study of the stock market with the attraction of machine learning approaches is a major direction for revealing hidden market regularities. This knowledge contributes to a prof…
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
Huy Pham, Konstantin Egorov, Alexey Kazakov +1
Cardiovascular disease remains a significant problem in modern society. Among non-invasive techniques, the electrocardiogram (ECG) is one of the most reliable methods for detecting…
Relationships between patenting trends and research activity for green energy technologies
Regina Tuganova, Anna Permyakova, Anna Kuznetsova +5
Green technology is viewed as a means of creating a sustainable society and a catalyst for sustainable development by the global community. It is responsible for both the potential…
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells
Alexey Korovin, Artem Vasilyev, Fedor Egorov +5
Efficient defect detection in solar cell manufacturing is crucial for stable green energy technology manufacturing. This paper presents a deep-learning-based automatic detection mo…
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements
Semen Budennyy, Alexey Kazakov, Elizaveta Kovtun +1
Pharmaceutical companies operate in a strictly regulated and highly risky environment in which a single slip can lead to serious financial implications. Accordingly, the announceme…
Boosting Heterogeneous Catalyst Discovery by Structurally Constrained Deep Learning Models
Alexey N. Korovin, Innokentiy S. Humonen, Artem I. Samtsevich +4
The discovery of new catalysts is one of the significant topics of computational chemistry as it has the potential to accelerate the adoption of renewable energy sources. Recently…