Cristian R. Munteanu

Orcid: 0000-0002-5628-2268

According to our database1, Cristian R. Munteanu authored at least 27 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy.
J. Cheminformatics, December, 2024

MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products.
J. Cheminformatics, December, 2024

Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques.
CoRR, 2024

2023
Exploring Target Identification for Drug Design with K-Nearest Neighbors' Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

2020
Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques.
Comput. Biol. Medicine, 2020

2019
Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models.
CoRR, 2019

A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications.
CoRR, 2019

Identification of coenzyme-binding proteins with machine learning algorithms.
Comput. Biol. Chem., 2019

2018
Evaluation as a Continuous Improvement Process in the Learning of Programming Languages.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2017
Experimental-Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov-Shannon Entropy Invariants.
J. Chem. Inf. Model., 2017

Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity.
Expert Syst. Appl., 2017

SNOMED2HL7: A tool to normalize and bind SNOMED CT concepts to the HL7 Reference Information Model.
Comput. Methods Programs Biomed., 2017

2015
Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein-Protein and Protein-Nucleic Acid Interfaces.
J. Chem. Inf. Model., 2015

RRegrs: an R package for computer-aided model selection with multiple regression models.
J. Cheminformatics, 2015

Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using <sup>1</sup>H Magnetic Resonance Spectroscopy data.
Expert Syst. Appl., 2015

eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.
J. Biomed. Semant., 2015

2014
Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors.
J. Chem. Inf. Model., 2014

ANN Multiscale Model of Anti-HIV Drugs Activity vs AIDS Prevalence in the US at County Level Based on Information Indices of Molecular Graphs and Social Networks.
J. Chem. Inf. Model., 2014

The first eNanoMapper prototype: A substance database to support safe-by-design.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
The Rücker-Markov invariants of complex Bio-Systems: Applications in Parasitology and Neuroinformatics.
Biosyst., 2013

2012
Nanoinformatics: developing new computing applications for nanomedicine.
Computing, 2012

2011
Automatic feature extraction using genetic programming: An application to epileptic EEG classification.
Expert Syst. Appl., 2011

SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification.
Proceedings of the Advances in Computational Intelligence, 2011


2010
An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

2009
Prot-2S: a new python web tool for protein secondary structure studies.
Int. J. Bioinform. Res. Appl., 2009

Data Mining in Complex Diseases Using Evolutionary Computation.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009


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