A MATLAB toolbox for Self Organizing Maps and supervised neural network learning strategies D Ballabio, M Vasighi Chemometrics and intelligent laboratory systems 118, 24-32, 2012 | 164 | 2012 |
Community detection in complex networks by detecting and expanding core nodes through extended local similarity of nodes K Berahmand, A Bouyer, M Vasighi IEEE Transactions on Computational Social Systems 5 (4), 1021-1033, 2018 | 111 | 2018 |
Disease-specific protein corona sensor arrays may have disease detection capacity G Caracciolo, R Safavi-Sohi, R Malekzadeh, H Poustchi, M Vasighi, ... Nanoscale Horizons, 1063-1076, 2019 | 82 | 2019 |
Genetic algorithms for architecture optimisation of counter-propagation artificial neural networks D Ballabio, M Vasighi, V Consonni, M Kompany-Zareh Chemometrics and intelligent laboratory systems 105 (1), 56-64, 2011 | 74 | 2011 |
Effects of supervised Self Organising Maps parameters on classification performance D Ballabio, M Vasighi, P Filzmoser Analytica chimica acta 765, 45-53, 2013 | 25 | 2013 |
A directed batch growing approach to enhance the topology preservation of self-organizing map M Vasighi, H Amini Applied Soft Computing 55, 424, 2017 | 22 | 2017 |
Nuclear magnetic resonance-based screening of thalassemia and quantification of some hematological parameters using chemometric methods M Arjmand, M Kompany-Zareh, M Vasighi, N Parvizzadeh, Z Zamani, ... Talanta 81 (4-5), 1229-1236, 2010 | 20 | 2010 |
Diagnosis of coronary heart disease based on 1H NMR spectra of human blood plasma using genetic algorithm‐based feature selection M Vasighi, A Zahraei, S Bagheri, J Vafaeimanesh Journal of Chemometrics 27 (10), 318-322, 2013 | 16 | 2013 |
Classification Ability of Self Organizing Maps in Comparison with Other Classification Methods M Vasighi, M Kompany-Zareh MATCH Communications in Mathematical and in Computer Chemistry 70, 29, 2013 | 16 | 2013 |
Efficient portfolio construction by means of CVaR and k‐means++ clustering analysis: Evidence from the NYSE F Soleymani, M Vasighi International Journal of Finance & Economics 27 (3), 3679-3693, 2022 | 14 | 2022 |
Sequence-based prediction of plant allergenic proteins: machine learning classification approach M Nedyalkova, M Vasighi, A Azmoon, L Naneva, V Simeonov ACS omega 8 (4), 3698-3704, 2023 | 12 | 2023 |
Inhibition ability of natural compounds on receptor-binding domain of SARS-CoV2: an in silico approach M Nedyalkova, M Vasighi, S Sappati, A Kumar, S Madurga, V Simeonov Pharmaceuticals 14 (12), 1328, 2021 | 12 | 2021 |
Structural classification of proteins using texture descriptors extracted from the cellular automata image H Kavianpour, M Vasighi Amino Acids 49 (2), 261-271, 2017 | 11 | 2017 |
A multilevel approach for screening natural compounds as an antiviral agent for COVID-19 M Vasighi, J Romanova, M Nedyalkova Computational Biology and Chemistry 98, 107694, 2022 | 9 | 2022 |
Oblique rotation of factors: a novel pattern recognition strategy to classify fluorescence excitation–emission matrices of human blood plasma for early diagnosis of colorectal … M Shahbazy, M Vasighi, M Kompany-Zareh, D Ballabio Molecular BioSystems 12 (6), 1963-1975, 2016 | 9 | 2016 |
Persistent organic pollutants (POPs)-QSPR classification models by means of machine learning strategies E Vakarelska, M Nedyalkova, M Vasighi, V Simeonov Chemosphere 287, 132189, 2022 | 7 | 2022 |
Resolution of near-infrared spectral data from distillation of binary mixtures and calculation of band boundaries of feasible solutions for species profiles M Kompany-Zareh, M Vasighi Fuel processing technology 89 (2), 203-213, 2008 | 4 | 2008 |
Correction: Disease-specific protein corona sensor arrays may have disease detection capacity G Caracciolo, R Safavi-Sohi, R Malekzadeh, H Poustchi, M Vasighi, ... Nanoscale Horizons 5 (2), 372-372, 2020 | 3 | 2020 |
Data Science: From Research to Application M Bohlouli, BS Bigham, Z Narimani, M Vasighi, E Ansari Springer, 2020 | 2 | 2020 |
Multiple growing self-organizing map for data classification M Vasighi, S Abbasi International Symposium on Artificial Intelligence and Signal Processing …, 2017 | 2 | 2017 |