Amirhessam Tahmassebi

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	799	776
h-индекс	13	13
i10-индекс	20	20

220

110

165

201620172018201920202021202220233 18 86 75 108 182 203 117

Публичен достъп

Преглед на всички

13 статии

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Съавтори

Anke Meyer-BaeseProfessor of Scientific Computing, Florida State UniversityПотвърден имейл адрес: fsu.edu
Amir H. GandomiProfessor of Data Science, University of Technology SydneyПотвърден имейл адрес: msu.edu
Katja PinkerMemorial Sloan Kettering Cancer CenterПотвърден имейл адрес: mskcc.org
Behshad MohebaliGoogleПотвърден имейл адрес: fsu.edu
Thomas HelbichMedical University ViennaПотвърден имейл адрес: akhwien.at
Elizabeth Anne MorrisProf & Chair Radiology UC Davis HealthПотвърден имейл адрес: ucdavis.edu
Anneke GoudriaanArkin Mental Health Institute & Amsterdam UMC, Dept. of Psychiatry, University of AmsterdamПотвърден имейл адрес: amc.uva.nl
Antonio GarcíaFull Professor, Dept. Electronics and Computer Technology, University of GranadaПотвърден имейл адрес: ugr.es
Marc LobbesAssistant professor RadiologyПотвърден имейл адрес: mumc.nl
Pascal BaltzerMedizinische Universität WienПотвърден имейл адрес: meduniwien.ac.at
Paola ClauserMedical University of ViennaПотвърден имейл адрес: meduniwien.ac.at
Wolfgang BanzhafKoza Chair in Genetic Programming, Michigan State University, USAПотвърден имейл адрес: msu.edu
Uwe Meyer-BaeseFlorida State UniversityПотвърден имейл адрес: fsu.edu
Lianne SchmaalUniversity of Melbourne, Melbourne, Australia. Orygen, Melbourne, Australia. VU University MedicalПотвърден имейл адрес: unimelb.edu.au
Simon FongAssociate Professor, University of MacauПотвърден имейл адрес: umac.mo
Lia MorraAssistant Professor, Politecnico di TorinoПотвърден имейл адрес: polito.it
Andrés OrtizFull Professor at University of Málaga. BioSiP LabПотвърден имейл адрес: ic.uma.es
Mehrtash MotamediUniversity of British ColumbiaПотвърден имейл адрес: civil.ubc.ca
Martin DyrbaGerman Center for Neurodegenerative Diseases (DZNE)Потвърден имейл адрес: dzne.de
Alper BuldumProfessor, Department of Mechanical Engineering, University of AkronПотвърден имейл адрес: uakron.edu

Следене

Amirhessam Tahmassebi

PhD in Computational Science, Department of Scientific Computing, Florida State University

Потвърден имейл адрес: FSU.edu - Начална страница

Data Science Machine Learning Pattern Recognition Scientific Computing Algorithms


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Impact of machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy and survival outcomes in … A Tahmassebi, GJ Wengert, TH Helbich, Z Bago-Horvath, S Alaei, ... Investigative radiology 54 (2), 110, 2019	183	2019
Probabilistic neural networks: a brief overview of theory, implementation, and application B Mohebali, A Tahmassebi, A Meyer-Baese, AH Gandomi Handbook of probabilistic models, 347-367, 2020	84	2020
Evolutionary machine learning: A survey A Telikani, A Tahmassebi, W Banzhaf, AH Gandomi ACM Computing Surveys (CSUR) 54 (8), 1-35, 2021	63	2021
Deep learning in medical imaging: fmri big data analysis via convolutional neural networks A Tahmassebi, AH Gandomi, I McCann, MHJ Schulte, AE Goudriaan, ... Proceedings of the Practice and Experience on Advanced Research Computing, 1-4, 2018	51	2018
Building energy consumption forecast using multi-objective genetic programming A Tahmassebi, AH Gandomi Measurement 118, 164-171, 2018	49	2018
Multi-stage optimization of a deep model: A case study on ground motion modeling A Tahmassebi, AH Gandomi, S Fong, A Meyer-Baese, SY Foo PloS one 13 (9), e0203829, 2018	26	2018
Optimized naive-bayes and decision tree approaches for fmri smoking cessation classification A Tahmassebi, AH Gandomi, MHJ Schulte, AE Goudriaan, SY Foo, ... Complexity 2018, 2018	26	2018
ideeple: Deep learning in a flash A Tahmassebi Disruptive Technologies in Information Sciences 10652, 177-193, 2018	24	2018
An evolutionary approach for fmri big data classification A Tahmassebi, AH Gandomi, I McCann, MHJ Schulte, L Schmaal, ... 2017 IEEE Congress on Evolutionary Computation (CEC), 1029-1036, 2017	24	2017
AI‐Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer A Meyer‐Base, L Morra, A Tahmassebi, M Lobbes, U Meyer‐Base, ... Journal of Magnetic Resonance Imaging 54 (3), 686-702, 2021	23	2021
Determining disease evolution driver nodes in dementia networks A Tahmassebi, AM Amani, K Pinker-Domenig, A Meyer-Baese Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018	16	2018
Genetic programming based on error decomposition: A big data approach A Tahmassebi, AH Gandomi Genetic programming theory and practice XV, 135-147, 2018	16	2018
High performance gp-based approach for fmri big data classification A Tahmassebi, AH Gandomi, A Meyer-Bäse Proceedings of the Practice and Experience in Advanced Research Computing …, 2017	14	2017
Dynamical graph theory networks techniques for the analysis of sparse connectivity networks in dementia A Tahmassebi, K Pinker-Domenig, G Wengert, M Lobbes, A Stadlbauer, ... Smart Biomedical and Physiological Sensor Technology XIV 10216, 43-50, 2017	13	2017
Handbook of probabilistic models P Samui, DT Bui, S Chakraborty, R Deo Butterworth-Heinemann, 2019	12	2019
Genetic Programming Theory and Practice XVI W Banzhaf, L Spector, L Sheneman Springer International Publishing, 2019	12	2019
An evolutionary online framework for MOOC performance using EEG data A Tahmassebi, AH Gandomi, A Meyer-Baese 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018	12	2018
The driving regulators of the connectivity protein network of brain malignancies A Tahmassebi, K Pinker-Domenig, G Wengert, M Lobbes, A Stadlbauer, ... Smart Biomedical and Physiological Sensor Technology XIV 10216, 8-15, 2017	12	2017
An explainable prediction framework for engineering problems: case studies in reinforced concrete members modeling A Tahmassebi, M Motamedi, AH Alavi, AH Gandomi Engineering Computations 39 (2), 609-626, 2022	11	2022
A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using raspberry pi B Mohebali, A Tahmassebi, AH Gandomi, A Meyer-Baese Big Data: Learning, Analytics, and Applications 10989, 1098902, 2019	11	2019

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