Possible significance of spatial heterogeneities of local visual features for face perception. - Vitaly V. Babenko; Daria Alekseeva; Denis V. Yavna (F1000Research, 2015)

Applying Machine Learning to LTE Traffic Prediction: Comparison of Bagging, Random Forest, and SVM. - Nikolai Stepanov; Daria Alekseeva; Aleksandr Ometov; Elena Simona Lohan (ICUMT, 2020)

On Machine Learning Applicability to Transaction Time Prediction for Time-Critical C-ITS Applications. - Nikolai Stepanov; Albert Veprev; Alexandra Sharapova; Daria Alekseeva; Mikhail M. Komarov; Elena Simona Lohan; Aleksandr Ometov (TSP, 2021)

Comparison of Machine Learning Techniques Applied to Traffic Prediction of Real Wireless Network. - Daria Alekseeva; Nikolai Stepanov; Albert Veprev; Alexandra Sharapova; Elena Simona Lohan; Aleksandr Ometov (IEEE Access, 2021)

Towards the Advanced Data Processing for Medical Applications Using Task Offloading Strategy. - Daria Alekseeva; Aleksandr Ometov; Elena Simona Lohan (WiMob, 2022)

The future of computing paradigms for medical and emergency applications. - Daria Alekseeva; Aleksandr Ometov; Otso Arponen; Elena Simona Lohan (Comput. Sci. Rev., 2022)

Managing Perceived Loneliness and Social-Isolation Levels for Older Adults: A Survey with Focus on Wearables-Based Solutions. - Aditi Site; Elena Simona Lohan; Outi Jolanki; Outi Valkama; Rosana Rubio Hernandez; Rita Latikka; Daria Alekseeva; Saigopal Vasudevan; Samuel Olaiya Afolaranmi; Aleksandr Ometov; Atte Oksanen; José L. Martínez Lastra; et al. (Sensors, 2022)

Hybrid Edge-Cloud Computational Offloading for XR Medical Applications. - Daria Alekseeva; Aleksandr Ometov (FMEC, 2024)

Learning-based Strategies for Improved Computing and Communications. - Daria Alekseeva (2024)

Enhancing Extended Reality Assisted Surgery through a Field-of-View Video Delivery Optimization. - Daria Alekseeva; Anzhelika Mezina; Radim Burget; Otso Arponen; Elena Simona Lohan; Aleksandr Ometov (Comput. Networks, 2025)