| 2025 | Explainable Artificial Intelligence for Doctors Decision Support in Diagnosing Spinal Pathologies. | Aleksandra Vatian, Alexey Zubanenko, Pavel Ulyanov, Alexander Golubev, Artem Beresnev, Natalia F. Gusarova |
| 2025 | Bayesianization of ML Models in Forecasting Small Data Sequences with Missing Values. | Aleksandra Vatian, Ivan Tomilov, Keram Goguev, Oksana Romakina, Anna Arsenyeva, Dmitriy Dobrenko, Natalia F. Gusarova |
| 2025 | Enhancing Medical Image Analysis with Multi-Task Learning Using Visual Transformers. | Aleksandra Vatian, Ivan Tomilov, Mikhail Gritskikh, Natalia V. Dobrenko, Anton Kharytonov, Yuliya Valitova, Natalia F. Gusarova |
| 2025 | Near-Optimal Mixed Partial Replications Versus Uniform Replication. | Ralf Vamosi |
| 2025 | Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System. | Phuwich Uthansakul, Pichchaya Petchsritong, Adis Khetubol |
| 2025 | Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics. | Piotr Urbanczyk, Aleksandra Urbanczyk, Magdalena Krl, Leszek Rutkowski, Marek Kisiel-Dorohinicki |
| 2025 | Socio-Cognitive Agent-Oriented Evolutionary Algorithm with Trust-Based Optimization. | Aleksandra Urbanczyk, Krzysztof Czech, Piotr Urbanczyk, Marek Kisiel-Dorohinicki, Aleksander Byrski |
| 2025 | Will It Blend? Mixing Numerical and Machine-Learned Physics Quantities for Accurate on-the-Fly Surrogate Modeling. | Michael Tynes, Kyle Chard, Ian T. Foster, Logan T. Ward |
| 2025 | MAVS: An Ensemble-Based Multi-agent Framework for Fake News Detection. | Dhruv Tyagi, Anurag Singh, Hocine Cherifi |
| 2025 | SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding. | Long Viet Truong, Minh Tien Dam, Tuan Anh Nguyen, Linh Thuy Thi Nguyen, Duong Trung Dinh |
| 2025 | ConvNeXt Fine-Tuning for Accurate Classification of 300 Cooking Ingredients. | Nhan Thanh Tran, Vuong Quoc Le, Thinh Ba Le, Duc Le Tai Nguyen, Long Phi Nguyen, Khanh Hong Vo |
| 2025 | Scheduling in Workflow-as-a-Service Model with Pre-parameterized DAG Using Inaccurate Estimates. | Victor V. Toporkov, Dmitry Yemelyanov, Artem Bulkhak |
| 2025 | NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish. | Aleksandra Tomaszewska, Dariusz Czerski, Bartosz Zuk, Maciej Ogrodniczuk |
| 2025 | A Thermodynamically Consistent Model for Compressible Fluid Flow in Fractured Porous Elastic Media. | Dongchun Tang, Minfu Feng, Shuyu Sun |
| 2025 | Data-Centric Parallel Programming Abstractions for High Performance Computations. | Domenico Talia |
| 2025 | Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects. | Ayato Takii, Naoki Kabuo, Masashi Yamakawa, Yusei Kobayashi, Shinichi Asao, Seiichi Takeuchi, Makoto Tsubokura |
| 2025 | Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems. | Krzysztof Szerszen, Eugeniusz Zieniuk |
| 2025 | Leveraging Positional Bias of LLM In-Context Learning with Class-Few-Shot and Maj-Min Alternating Ordering. | Aleksander Szczesny, Maciej Markiewicz, Lukasz Radlinski, Przemyslaw Kazienko |
| 2025 | AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering. | Tomasz Szandala |
| 2025 | Dynamic Neural Network with Matrix-Extended Residual Connections. | Szymon Swiderski, Agnieszka Jastrzebska |
| 2025 | Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset. | Adam Sulek, Jakub Klimczak, Jakub Jonczyk, Tomasz Koscilek, Tomasz Danel, Barbara Pucelik |
| 2025 | AI-Enhanced Agent-Based Modelling Approach for Forced Displacement Predictions. | Diana Suleimenova, Yani Xue, Auke Tas, William Low |
| 2025 | Bias or Justice? Analyzing LLM Sentencing Variability in Theft Indictments Across Gender, Ethnicity, and Education Factors. | Karol Struniawski, Ryszard Kozera, Aleksandra Konopka |
| 2025 | Decision-Making of Homogeneous Multiple Classifiers Based on Attribute Characterisation by Discretisation. | Urszula Stanczyk, Beata Zielosko, Grzegorz Baron |
| 2025 | Preserving Informative Content of Condition Attributes in Data Transformations for CRSA. | Urszula Stanczyk, Beata Zielosko, Grzegorz Baron |