Hamid Alinejad-Rokny
Orcid: 0000-0002-2189-9153
According to our database1,
Hamid Alinejad-Rokny
authored at least 50 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks.
Inf. Fusion, 2025
2024
BMC Bioinform., December, 2024
Neural Comput. Appl., January, 2024
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023.
Appl. Intell., January, 2024
ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance.
CoRR, 2024
Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks.
CoRR, 2024
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare.
CoRR, 2024
Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies.
CoRR, 2024
Comput. Biol. Medicine, 2024
Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
2023
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.
Neural Comput. Appl., October, 2023
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.
Comput. Biol. Medicine, June, 2023
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review.
Inf. Fusion, May, 2023
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease.
Comput. Biol. Medicine, May, 2023
Algorithms, March, 2023
DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants.
PLoS Comput. Biol., 2023
A comparison of deep neural network models for cluster cancer patients through somatic point mutations.
J. Ambient Intell. Humaniz. Comput., 2023
Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023
HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer.
BMC Bioinform., December, 2022
Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.
PLoS Comput. Biol., September, 2022
Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm.
IEEE Trans. Instrum. Meas., 2022
MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments.
PLoS Comput. Biol., 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence.
CoRR, 2022
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.
Comput. Biol. Medicine, 2022
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types.
BMC Bioinform., 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022
2021
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues.
J. Biomed. Informatics, 2021
Bioinform., 2021
Artif. Intell. Rev., 2021
Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
J. Intell. Fuzzy Syst., 2020
2019
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019
2018
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions.
Neurocomputing, 2018
Neurocomputing, 2018
2015
A method to avoid errors associated with the analysis of hypermutated viral sequences by alignment-based methods.
J. Biomed. Informatics, 2015
Proposing a classifier ensemble framework based on classifier selection and decision tree.
Eng. Appl. Artif. Intell., 2015
2014
Data Aggregation in Wireless Sensor Networks Based on Environmental Similarity: A Learning Automata Approach.
J. Networks, 2014
Artif. Intell. Rev., 2014
2013
J. Exp. Theor. Artif. Intell., 2013