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Irina Naskinova

Observed names: I Naskinova, Наскинова, Ирина
ORCID: 0009-0009-7794-4265
Observed ORCID: 0009-0009-7794-4265
OpenAlex ID: A5006250449
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
2021 · Laura Judith Marcos-Zambrano, Kanita Karaduzovic-Hadziabdic, et al. · Frontiers in Microbiology · 451
Deep learning in microbiome analysis: a comprehensive review of neural network models
2025 · Piotr Przymus, Krzysztof Rykaczewski, et al. · Frontiers in Microbiology · 96
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Transfer learning with NASNet-Mobile for Pneumonia X-ray classification
2022 · Irina Naskinova · Asian-European Journal of Mathematics · 20
Hybrid Stochastic–Machine Learning Framework for Postprandial Glucose Prediction in Type 1 Diabetes
2025 · Irina Naskinova, Mikhail Kolev, et al. · Algorithms · 10
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Machine Learning-Based Blood Pressure Prediction Using Cardiovascular Disease Data: A Comprehensive Comparative Study
2026 · Irina Naskinova, Mikhail Kolev, et al. · Electronics · 8
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Forecasting Strategies in Retail: Utilizing Advanced Machine Learning Methods while Safeguarding Privacy
2024 · Irina Naskinova, Mikhail Kolev, et al. · Journal of Physics Conference Series · 7
On Convolutional Neural Networks for Chest X-ray Classification
2021 · I Naskinova · IOP Conference Series Materials Science and Engineering · 3
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A Comprehensive Benchmark of Machine Learning Methods for Blood Glucose Prediction in Type 1 Diabetes: A Multi-Dataset Evaluation
2026 · Mikhail Kolev, Irina Naskinova, et al. · Applied Sciences · 2
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Signal-Derived Feature Analysis for Cuffless Blood Pressure Estimation: Comparing Machine Learning and Deep Learning on ICU Physiological Waveforms
2026 · Irina Naskinova, Mikhail Kolev, et al. · AI · 2
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On a Mathematical Model of a General Autoimmune Disease
2023 · Mikhail Kolev, Nikolay Netov, et al. · Axioms · 2
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On the innate immune response to intracellular bacterial infections
2020 · Irina Naskinova, Mikhail Kolev, et al. · Asian-European Journal of Mathematics · 2
Posterior Bias of the Drift Estimator in a Hierarchical Ornstein–Uhlenbeck Model for Adverse Life Events
2026 · Irina Naskinova, Mariyan Milev, et al. · WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS · 1
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A Hierarchical Stochastic Differential Equation Framework with Particle-Filter Inference for Latent-State Dynamics around Life-Event Mentions on Reddit
2026 · Irina Naskinova, Mariyan Milev, et al. · WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS · 1
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Advancing Predictive Maintenance Modeling for Renewable Energy Systems
2025 · Irina Naskinova, Meglena D. Lazarova, et al. · Journal of Physics Conference Series · 1
Data-centric Reliability Modeling for Energy Assets
2025 · Irina Naskinova, Stanislava Stoilova, et al. · Journal of Physics Conference Series · 1
A Minority of the Variance in Single-Recall Nutrient-Density Pattern Scores Is Between-Person: A Reliability and Regression-Calibration Framework
2026 · Irina Naskinova, Mikhail Kolev, et al. · Nutrients
Serology-Anchored Comparison of Self-Reported Vaccination: Reported Hepatitis B Series Completion Exceeds Vaccine-Consistent Immunity in the Same Participants
2026 · Irina Naskinova, Mikhail Kolev, et al. · Vaccines
Negative-Control Calibration and E-Value Bounding of Cancer-Survivor Mortality Contrasts: A Design-Aware Competing-Risks Analysis
2026 · Irina Naskinova, Mikhail Kolev, et al. · Cancers
Movement Intensity in the Minutes Before a Fall: A Lag-Controlled, Activity-Matched Time-Stratified Case-Crossover Analysis of Home Monitoring in Multiple Sclerosis
2026 · Irina Naskinova, Mikhail Kolev, et al. · Journal of Clinical Medicine
What a Near-Perfect AUROC Does Not Show: Random-Panel and Label-Permutation Controls for a Sepsis Blood-Transcriptome Signature
2026 · Mikhail Kolev, Irina Naskinova, et al. · International Journal of Molecular Sciences
Internal Accuracy Is Not Transportability: Testing an Inflammation–Anemia–Cardiorenal Biomarker Panel for Chronic Kidney Disease from NHANES to an External Cohort
2026 · Irina Naskinova, Mikhail Kolev, et al. · Preprints.org
Bidirectional Associations Between Blood Glucose and Blood Pressure: A Data-Driven Causal Analysis Using Structural Equation Modelling and Granger Causality on NHANES Longitudinal Data
2026 · Irina Naskinova, Mikhail Kolev, et al. · Journal of Clinical Medicine
The Nonlinear Relationship Between Fasting Plasma Glucose, HbA1c, and Blood Pressure: A Cross-Sectional Analysis of 54,881 Adults from NHANES 1999–2023
2026 · Mikhail Kolev, Irina Naskinova, et al. · Algorithms
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Leveraging mathematical and computational algorithms in developing binomial neural networks for X-ray image classification
2025 · Irina Naskinova, Mikhail Kolev, et al. · AIP conference proceedings
Mathematical and Computer Models for Intelligent Data Analysis in Medicine
2023 · Наскинова, Ирина · Bulgarian Portal for Open Science
Works count: 25
Citation count: 607
H-index: 6
I10-index: 4
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