Mariofanna G. Milanova
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: University of Louisville (2001–2002); Emory University (2006); Universidade de São Paulo (1999); Universidade do Porto (2000–2002); Xavier University (2018); Norwegian University of Science and Technology (2009); Bulgarian Academy of Sciences (2001–2002); University of Arkansas System (2004–2025); Technical University of Sofia (1996); Sofia University "St. Kliment Ohridski" (1997); Instituto Politécnico Nacional (2002); University of Aveiro (2012)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Mariofanna G. Milanova is a professor at the University of Arkansas at Little Rock, with a research focus that spans machine learning, artificial intelligence, and computational methods. Her work investigates the application of deep learning models, such as LSTMs and Transformers, for complex tasks like financial time series forecasting and audio classification on edge devices. Milanova has also explored the performance impacts of various techniques, including data augmentation and model-compression methods, within TensorFlow convolutional neural networks.
Her research group has been involved in projects funded by the National Science Foundation (NSF), including an I-Corps award for developing a computer vision-based intelligent service recommendation system. Milanova's publication record includes work on algorithms, natural language processing, and computational biology, alongside studies in areas like visual attention in deep learning and information flow analysis. She is recognized as a high-impact researcher, with a notable publication count and citation record.
Metrics
- h-index: 18
- Publications: 178
- Citations: 1,179
Positions
-
Professor 2001–presentUniversity of Arkansas at Little Rock Computer Science ORCID
-
Visiting Professor 2000–2001University of Lousville Electrical & Computer Engineering ORCID
Selected Publications
-
Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization (2026)
-
Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization (2026)
-
Federated Learning-Based Road Defect Detection with Transformer Models for Real-Time Monitoring (2025)
-
Parsing Requirements for Automatic Prompting of Large Language Models for Requirements Validation (2025)
-
Entity Resolution Using Transformers for Synthetic Datasets (2025)
-
Deep Neural Network with RIS-Powered Wireless Communication Systems for Channel Modeling (2025)
-
Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach (2025)
-
Unveiling Alzheimer’s Progression: AI-Driven Models for Classifying Stages of Cognitive Impairment Through Medical Imaging (2025)
-
Large Language Models for Classification of Functional and Nonfunctional Requirements (2025)
-
Towards Smarter Road Maintenance: YOLOv7-Seg for Real-Time Detection of Surface Defects (2025)
-
A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing (2025)
-
LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting (2025)
-
Novel EEG feature selection based on hellinger distance for epileptic seizure detection (2025)
-
Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods (2024)
-
Novel EEG Classification Based on Hellinger Distance for Seizure Epilepsy Detection (2024)
Federal Grants 1 $50,000 total
I-Corps: Computer Vision-Based Intelligent Service Recommendation System
Collaboration Network
Top Collaborators
- Multi-layer Image Transmission with Inverse Pyramidal Decomposition
- Non-linear image representation based on IDP with NN
- Lossless compression of biometric image data
- Documents Image Compression with IDP and Adaptive RLE
- Content Based Image Retrieval Using Adaptive Inverse Pyramid Representation
Showing 5 of 27 shared publications
- Multi-layer Image Transmission with Inverse Pyramidal Decomposition
- Non-linear image representation based on IDP with NN
- Lossless compression of biometric image data
- Documents Image Compression with IDP and Adaptive RLE
- Content Based Image Retrieval Using Adaptive Inverse Pyramid Representation
Showing 5 of 27 shared publications
- Non-linear image representation based on IDP with NN
- Lossless compression of biometric image data
- Documents Image Compression with IDP and Adaptive RLE
- Content Based Image Retrieval Using Adaptive Inverse Pyramid Representation
- Resistant image watermarking in the phases of the Complex Hadamard Transform coefficients
Showing 5 of 16 shared publications
- Non-linear image representation based on IDP with NN
- Content Based Image Retrieval Using Adaptive Inverse Pyramid Representation
- Multimedia watermarking with complex Hadamard transform in the inverse pyramid decomposition
- Resistant image watermarking in the phases of the Complex Hadamard Transform coefficients
- Combined visual attention model for video sequences
Showing 5 of 14 shared publications
- Real time intention recognition
- Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security
- Perceptual Judgments to Detect Computer Generated Forged Faces in Social Media
- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix-(2 × 2) Hierarchical SVD
- Real Time Eye Gaze Estimation
Showing 5 of 9 shared publications
- Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
- Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and Challenges
- Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials
- Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat’s Barrel Cortex
- Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials
Showing 5 of 8 shared publications
- Image segmentation with active contours based on selective visual attention
- Contour-Based Image Segmentation Using Selective Visual Attention
- Objective video quality assessment for tracking moving objects from video sequences
- Attention in Image Sequences: Biology, Computational Models, and Applications
- Extraction of human body contours and position analysis
Showing 5 of 7 shared publications
- Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
- Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials
- Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat’s Barrel Cortex
- Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials
- Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification
Showing 5 of 7 shared publications
- Human Action Recognition: Contour-Based and Silhouette-Based Approaches
- Scene Analysis Using Morphological Mathematics and Fuzzy Logic
- An Evolutionary Optimization Control System for Remote Sensing Image Processing
- Natural image segmentation using morphological mathematics and fuzzy logic
- A Hybrid Morphological Active Contour for Natural Images
Showing 5 of 7 shared publications
- Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses
- EEG Signal Processing for Brain–Computer Interfaces
- Face recognition based on subject dependent Hidden Markov Models
- A Sequential Monte Carlo Approach for Brain Source Localization
- Towards an Adaptive Brain-Computer Interface – An Error Potential Approach
- Objective video quality assessment for tracking moving objects from video sequences
- Perception-based image/video quality metric using CIELAB color space
- Explaining Multimodal Image Retrieval Using A Vision and Language Task Model
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Entity Resolution Using Transformers for Synthetic Datasets
- Performance Analysis of Deep Learning Model-Compression Techniques for Audio Classification on Edge Devices
- Intelligent Traffic Control System Using YOLO Algorithm for Traffic Congested Cities
- Active Learning Monitoring in Classroom Using Deep Learning Frameworks
- Deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms
- Performance Analysis of Deep Learning Model Compression Techniques for Audio Classification on Edge Devices
- Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat’s Barrel Cortex
- Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials
- Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification
- Bayesian approach to analysis of protein patterns for identification of myeloma cancer
- Human Action Recognition: Contour-Based and Silhouette-Based Approaches
- Scene Analysis Using Morphological Mathematics and Fuzzy Logic
- A Hybrid Morphological Active Contour for Natural Images
- A MORPHOLOGICAL MULTIPHASE ACTIVE CONTOUR FOR VASCULAR SEGMENTATION
- The Impact of Multi-Optimizers and Data Augmentation on TensorFlow Convolutional Neural Network Performance
- 3D Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier
- Classification of Alzheimer Disease based on Normalized Hu Moment Invariants and Multiclassifier
- Human actions recognition based on 3D deep neural network
Similar Researchers
Based on overlapping research topics