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Maria L. Vaida

Observed names: Maria L Vaida, Maria Vaida, VAIDA, MARIA, Vaida, Maria
ORCID: 0000-0002-7869-1900
Observed ORCID: 0000-0002-7869-1900
OpenAlex ID: A5039675211
Interaction of high-fat diet and brain trauma alters adipose tissue macrophages and brain microglia associated with exacerbated cognitive dysfunction
2024 · Rebecca J. Henry, James P. Barrett, et al. · Journal of Neuroinflammation · 36
Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains
2026 · Maria Vaida, Ziyuan Huang · Frontiers in Artificial Intelligence · 24
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Hypergraph Link Prediction: Learning Drug Interaction Networks Embeddings
2019 · Maria Vaida, Kevin Purcell · International Conference on Machine Learning and Applications · 21
M-GNN: A Graph Neural Network Framework for Lung Cancer Detection Using Metabolomics and Heterogeneous Graph Modeling
2025 · Maria Vaida, Jiawen Wu, et al. · International Journal of Molecular Sciences · 18
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ADAM-1: An AI Reasoning and Bioinformatics Model for Alzheimer’s Disease Detection and Microbiome-Clinical Data Integration
2025 · Ziyuan Huang, Vishaldeep Kaur Sekhon, et al. · IEEE Access · 16
Identification of a Novel Biomarker Panel for Breast Cancer Screening
2024 · Maria L. Vaida, Kamala Arumalla, et al. · International Journal of Molecular Sciences · 16
Metabolomics-Based Machine Learning Models Accurately Predict Breast Cancer Estrogen Receptor Status
2024 · Kamala K. Arumalla, Jean-François Haince, et al. · International Journal of Molecular Sciences · 12
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Molecular Pathway Changes Associated with Different Post-Conditioning Exercise Interventions After Experimental TBI
2024 · James P. Barrett, Taryn G. Aubrecht, et al. · Journal of Neurotrauma · 5
Translational impact of machine learning-driven predictive modeling with pathway-based plasma metabolomic biomarkers for lung cancer detection
2026 · Eyad Himdiat, Jean-François Haince, et al. · Frontiers in Oncology · 3
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Learning Gene Regulatory Networks using Graph Granger Causality
2022 · Pranita Patil, Maria Vaida · EPiC series in computing · 3
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Semi-Supervised Graph Neural Network with Probabilistic Modeling to Mitigate Uncertainty
2020 · Maria Vaida, Pranita Patil · International Conference on Information System and Data Mining (ICISDM) · 3
Interferon-β Deficiency Selectively Modulates Chronic Microglial Pathways after Traumatic Brain Injury
2026 · James P. Barrett, Rebecca J. Henry, et al. · Journal of Neurotrauma · 2
SEFA: Semantic Embedding-Based Feature Augmentation of Biomedical Language-Model Embeddings Improves Interpretable Metabolomic Prediction of Lung Cancer
2026 · Jiawen Wu, Jean-François Haince, et al. · Biomedicines · 1
Smoking-Stratified Signal Decomposition and Feature Selection for Never-Smoker Cancer Classification in a Combined Lung–Breast Metabolomics Cohort
2026 · Bharadwaj Popuri, Jean-François Haince, et al. · International Journal of Molecular Sciences · 1
Improving calibration and subgroup equity in diabetes readmission prediction using causal reweighting of LSTM models
2026 · Sapna Sharma, Maria L. Vaida · Informatics in Medicine Unlocked · 1
Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures
2025 · Huang, Ziyuan, Newman, Mark, et al. · arXiv (Cornell University) · 1
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A mass-difference graph resolves a pre-diagnostic lung cancer lipid signature into a desaturation and chain-elongation series in never-smoking women
2026 · Vaida, Maria, Huang, Ziyuan · Zenodo (CERN European Organization for Nuclear Research)
CDR-Informed Graph Neural Network for Plasma Metabolomics in Lung Cancer and Pulmonary Neuroendocrine Neoplasms
2026 · Eyad Himdiat, Jean-François Haince, et al. · International Journal of Molecular Sciences
An Equal-Byte Non-Inferiority Protocol for Storage-Aware, Reproducible Evaluation of Replay-Based Continual Learning
2026 · Lava Kumar Polu, Maria L. Vaida, et al. · Machine Learning and Knowledge Extraction
Positive Backward Transfer Under Family-Grouped Task Sequences in Replay-Based Continual Learning: A Confirmatory Study on an Abstract-Reasoning Benchmark
2026 · POLU, LAVA KUMAR, VAIDA, MARIA, et al.
Faster on the Device, Not Cheaper on Paper: Neural CDE vs Neural ODE
2026 · Lava Kumar Polu, Maria L Vaida, et al.
ADAM‐1: A Novel AI driven approach to Alzheimer's disease Research and Multi‐modal Data Analytics
2025 · Ziyuan Huang, Vishaldeep Kaur Sekhon, et al. · Alzheimer s & Dementia
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Abstract P1-03-29: Targeted Human Plasma Metabolomics for Lobular Breast Cancer Biomarker Discovery
2025 · Jean-Francois Haince, Maria L. Vaida, et al. · Clinical Cancer Research
Advancing Heart Failure Prediction: A Comparative Study of Traditional Machine Learning, Neural Networks, and Stacking Generative AI Models
2025 · Howard H. Nguyen, Maria Vaida, et al. · International Conference on Information and Computer Technologies (ICICT)
Works count: 26
Citation count: 163
H-index: 7
I10-index: 7
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