Mathematics & AI

Mathematics & AI

Mathematics & AI is an open-access, peer-reviewed journal at the intersection of mathematics and artificial intelligence. The journal publishes original research in mathematical foundations of AI, machine learning theory, optimization, statistical learning, neural network analysis, computational mat...
Vol. 1, No. 2 (2026) — MathAI 2026 Selected Papers

Vol. 1, No. 2 (2026) — MathAI 2026 Selected Papers

Special Issue EN APC: Free Deadline: 09 May 2026
Selected papers from the Mathematics of AI 2026 Conference. This special issue features original research exploring mathematical foundations of artificial intelligence, including optimization theory, statistical learning, approximation theory, and computational mathematics for modern AI systems.
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Articles (18)

AI-Based Detection of Unwanted Behavior: The Paradoxical Effect of Standard Data Augmentation in Video Surveillance

Maksim Emelianov

Art. 4
A MONOTONE SYSTEM GENERATOR FOR SOLVING BIG DATA AGGREGATION PROBLEMS

Rifqat Davronov, F.T.Adilova

Art. 5
Deep Learning for Educational Video Analysis: Benchmarking ASR Systems and Pipeline Optimization

Gordey Zuev, Elena Kantonistova

Art. 6
The Evolution of Mind: Emergence of Collective Intelligence through Logical-Probabilistic Knowledge Dynamics in Multi-Agent ENIGMA Metaverse Ecosystems

Andrey Nechesov, Janne Ruponen, Sergey Barykin

Art. 7
OLORA+: A HYBRID APPROACH TO PARAMETER- EFFICIENT FINE-TUNING OF LARGE LANGUAGE MODELS

Samariddin

Art. 8
Interpretable Emotion Attribution in Social Graphs: A Comparative Analysis of Rule-Based, Transformer, and LLM Models

Usman Babayo Gidado, Anton Kolonin

Art. 10
Hybrid Bi-Level Index for Shortest Paths in Temporal Networks

Maksim

Art. 11
A Systematic Study of Gate Functions in Soft Adaptive Policy Optimization

Egor Denisov, Svetlana Glazyrina, Maksim Kryzhanovskiy, Roman Ischenko

Art. 12
Improving Fairness in AI-Powered Recrutiment: An Interpretable Resume Screening System

Natalia Agapova, Rustam A. Lukmanov

Art. 14
Explainable AI for Mathematics: Proofs as Code with Knowledge Graph and Domain Ontology Support

Oli Ataeva, Khalov A., Tuchkova N.

Art. 17
Hybrid UAV Hazard Detection Approach Based on Open-Vocabulary Detection and MIVAR Expert System

Aleksandra Yurievna Maksimova

Art. 19
Implementation of a Cryptographic Hash Function Based on a Deep Neural Network.

Дмитрий Владимирович, Gorin,D

Art. 20
Mathematics of natural Intelligence

Evgenii Vityaev

Art. 21
Detecting Hallucinations In LLM Responses Using Token-level Log-probability Signals

Vadim Eliseev, Aleksandra Yurievna Maksimova

Art. 22
Estimating Importance of Highly Correlated Features Using Matrix Factorization

Alexander Minkin

Art. 23
Operator Learning for High-Dimensional Symplastic Growth Dynamics with Stochastic Cell Division

Ulyana Zubairova

Art. 27
Dynamic Data Classification Based on a Semi-Supervised Local Poisson Label Propagation Method

Constantin

Art. 28
Aligning the Number of Parameters with the Number of Linear Regions for Improved Neural Network Approximation

Alex Lecxis

Art. 31