| Year |
Citation |
Score |
| 2021 |
de Abreu Fontes J, Anzanello MJ, Brito JBG, Bucco GB, Fogliatto FS, Puglia FDP. Combining wavelength importance ranking to the random forest classifier to analyze multiclass spectral data. Forensic Science International. 328: 110998. PMID 34551367 DOI: 10.1016/j.forsciint.2021.110998 |
0.334 |
|
| 2020 |
Assis C, Gama EM, Nascentes CC, de Oliveira LS, Anzanello MJ, Sena MM. A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends. Food Chemistry. 325: 126953. PMID 32387940 DOI: 10.1016/J.Foodchem.2020.126953 |
0.347 |
|
| 2020 |
Brito JBG, Bucco GB, John DK, Ferrão MF, Ortiz RS, Mariotti KC, Anzanello MJ. Wavenumber selection based on Singular Value Decomposition for sample classification. Forensic Science International. 309: 110191. PMID 32092622 DOI: 10.1016/J.Forsciint.2020.110191 |
0.451 |
|
| 2020 |
Peres FAP, Peres TN, Fogliatto FS, Anzanello MJ. Strategies for synchronizing chocolate conching batch process data using dynamic time warping. Journal of Food Science and Technology. 57: 122-133. PMID 31975715 DOI: 10.1007/S13197-019-04037-5 |
0.418 |
|
| 2020 |
Lucini FR, Tonetto LM, Fogliatto FS, Anzanello MJ. Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews Journal of Air Transport Management. 83: 101760. DOI: 10.1016/J.Jairtraman.2019.101760 |
0.355 |
|
| 2020 |
Rocha M, Silva CAM, Junior RGS, Anzanello M, Yamashita GH, Lindau LA. Selecting the most relevant variables towards clustering bus priority corridors Public Transport. DOI: 10.1007/S12469-020-00245-X |
0.344 |
|
| 2019 |
Fogliatto FS, Anzanello MJ, Soares F, Brust-Renck PG. Decision Support for Breast Cancer Detection: Classification Improvement Through Feature Selection. Cancer Control : Journal of the Moffitt Cancer Center. 26: 1073274819876598. PMID 31538497 DOI: 10.1177/1073274819876598 |
0.377 |
|
| 2019 |
Rocha M, Anzanello M, Caleffi F, Cybis H, Yamashita G. A multivariate-based variable selection framework for clustering traffic conflicts in a brazilian freeway. Accident; Analysis and Prevention. 132: 105269. PMID 31445462 DOI: 10.1016/J.Aap.2019.105269 |
0.415 |
|
| 2019 |
Soares F, Anzanello MJ, Fogliatto FS, Ortiz RS, Mariotti KC, Ferrão MF. Enhancing counterfeit and illicit medicines grouping via feature selection and X-ray fluorescence spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 174: 198-205. PMID 31174131 DOI: 10.1016/J.Jpba.2019.05.064 |
0.391 |
|
| 2019 |
Dos Santos MK, de Cassia Mariotti K, Kahmann A, Anzanello MJ, Ferrão MF, de Araújo Gomes A, Limberger RP, Ortiz RS. Comparison between counterfeit and authentic medicines: A novel approach using differential scanning calorimetry and hierarchical cluster analysis. Journal of Pharmaceutical and Biomedical Analysis. 166: 304-309. PMID 30685655 DOI: 10.1016/J.Jpba.2019.01.029 |
0.345 |
|
| 2019 |
Peres FAP, Peres TN, Fogliatto FS, Anzanello MJ. Fault detection in batch processes through variable selection integrated to multiway principal component analysis Journal of Process Control. 80: 223-234. DOI: 10.1016/J.Jprocont.2019.06.002 |
0.456 |
|
| 2019 |
Yamashita GH, Anzanello MJ, Soares F, Rocha MK, Fogliatto FS, Rodrigues NP, Rodrigues E, Celso PG, Manfroi V, Hertz PF. Hierarchical classification of sparkling wine samples according to the country of origin based on the most informative chemical elements Food Control. 106: 106737. DOI: 10.1016/J.Foodcont.2019.106737 |
0.42 |
|
| 2019 |
Blanck M, Ribeiro JLD, Anzanello MJ. A relational exploratory study of business incubation and smart cities - Findings from Europe Cities. 88: 48-58. DOI: 10.1016/J.Cities.2018.12.032 |
0.311 |
|
| 2019 |
Lohmann M, Anzanello MJ, Fogliatto FS, Silveira GCd. Grouping workers with similar learning profiles in mass customization production lines Computers & Industrial Engineering. 131: 542-551. DOI: 10.1016/J.Cie.2019.03.012 |
0.385 |
|
| 2019 |
Beuren GM, Anzanello MJ. Variable selection using statistical non-parametric tests for classifying production batches into multiple classes Chemometrics and Intelligent Laboratory Systems. 193: 103830. DOI: 10.1016/J.Chemolab.2019.103830 |
0.48 |
|
| 2018 |
Kahmann A, Anzanello MJ, Fogliatto FS, Chaovalitwongse WA, Marcelo MCA, Ferrão MF, Ortiz RS, Mariotti KC. Interval importance index to select relevant ATR-FTIR wavenumber Intervals for falsified drug classification. Journal of Pharmaceutical and Biomedical Analysis. 158: 494-503. PMID 29966946 DOI: 10.1016/J.Jpba.2018.06.046 |
0.453 |
|
| 2018 |
Kahmann A, Anzanello MJ, Fogliatto FS, Marcelo MCA, Ferrão MF, Ortiz RS, Mariotti KC. Wavenumber selection method to determine the concentration of cocaine and adulterants in cocaine samples. Journal of Pharmaceutical and Biomedical Analysis. 152: 120-127. PMID 29414003 DOI: 10.1016/J.Jpba.2018.01.050 |
0.318 |
|
| 2018 |
Soares F, Anzanello MJ, Fogliatto FS, Marcelo MCA, Ferrão MF, Manfroi V, Pozebon D. Element selection and concentration analysis for classifying South America wine samples according to the country of origin Computers and Electronics in Agriculture. 150: 33-40. DOI: 10.1016/J.Compag.2018.03.027 |
0.422 |
|
| 2018 |
Soares F, Anzanello MJ. Support vector regression coupled with wavelength selection as a robust analytical method Chemometrics and Intelligent Laboratory Systems. 172: 167-173. DOI: 10.1016/J.Chemolab.2017.12.007 |
0.388 |
|
| 2017 |
Soares F, Becker K, Anzanello MJ. A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening. Artificial Intelligence in Medicine. PMID 28939302 DOI: 10.1016/J.Artmed.2017.09.004 |
0.348 |
|
| 2017 |
Caleffi F, Anzanello MJ, Cybis HB. A multivariate-based conflict prediction model for a Brazilian freeway. Accident; Analysis and Prevention. 98: 295-302. PMID 27810671 DOI: 10.1016/J.Aap.2016.10.025 |
0.42 |
|
| 2017 |
Tortorella G, Fettermann D, Anzanello M. Implementação da manufatura enxuta e os comportamentos das lideranças: uma pesquisa exploratória Revista ProduçãO Online. 17: 857-882. DOI: 10.14488/1676-1901.V17I3.2675 |
0.34 |
|
| 2017 |
Tortorella G, Fettermann D, Anzanello M, Sawhney R. Lean manufacturing implementation, context and behaviors of multi-level leadership: A mixed-methods exploratory research Journal of Manufacturing Technology Management. 28: 867-891. DOI: 10.1108/Jmtm-06-2017-0128 |
0.356 |
|
| 2017 |
Anzanello M, Mazzillo C, Tortorella G, Marodin G. Variable selection framework for allocating products to recommended replenishment models in VMI applications Journal of Advances in Management Research. 14: 128-142. DOI: 10.1108/Jamr-07-2016-0058 |
0.511 |
|
| 2017 |
Kahmann A, Anzanello MJ, Marcelo MCA, Pozebon D. Near infrared spectroscopy and element concentration analysis for assessing yerba mate (Ilex paraguariensis) samples according to the country of origin Computers and Electronics in Agriculture. 140: 348-360. DOI: 10.1016/J.Compag.2017.06.007 |
0.48 |
|
| 2017 |
Soares F, Anzanello MJ, Marcelo MCA, Ferrão MF. A non-equidistant wavenumber interval selection approach for classifying diesel/biodiesel samples Chemometrics and Intelligent Laboratory Systems. 167: 171-178. DOI: 10.1016/J.Chemolab.2017.06.005 |
0.461 |
|
| 2016 |
Anzanello MJ, Yamashita G, Marcelo M, Fogliatto FF, Ortiz RS, Mariotti K, Ferrão MF. A Genetic Algorithm-Based Framework for Wavelength Selection on Sample Categorization. Drug Testing and Analysis. PMID 27860446 DOI: 10.1002/Dta.2138 |
0.43 |
|
| 2016 |
Serafini L, Anzanello MJ, Kahmann A. Heurística para minimização do atraso total de tarefas baseada em curvas de aprendizado e aspectos ergonômicos Revista ProduçãO Online. 16: 550-574. DOI: 10.14488/1676-1901.V16I2.1982 |
0.337 |
|
| 2016 |
Marcelo MCA, Mariotti KC, Ortiz RS, Ferrão MF, Anzanello MJ. Scott test evaluation by multivariate image analysis in cocaine samples Microchemical Journal. 127: 87-93. DOI: 10.1016/J.Microc.2016.02.012 |
0.322 |
|
| 2016 |
Anzanello M, Fogliatto F, Marcelo MCA, Pozebon D, Ferrão MF. Wavelength selection framework for classifying food and pharmaceutical samples into multiple classes Journal of Chemometrics. 30: 346-353. DOI: 10.1002/Cem.2799 |
0.447 |
|
| 2015 |
Anzanello MJ, Kahmann A, Marcelo MC, Mariotti KC, Ferrão MF, Ortiz RS. Multicriteria wavenumber selection in cocaine classification. Journal of Pharmaceutical and Biomedical Analysis. 115: 562-9. PMID 26319749 DOI: 10.1016/J.Jpba.2015.08.008 |
0.388 |
|
| 2015 |
Cervo VL, Anzanello MJ. Seleção de variáveis para clusterização de bateladas produtivas através de ACP e remapeamento kernel Production Journal. 25: 826-833. DOI: 10.1590/0103-6513.143613 |
0.435 |
|
| 2015 |
Guimarães LBdM, Anzanello MJ, Ribeiro JLD, Saurin TA. Participatory ergonomics intervention for improving human and production outcomes of a Brazilian furniture company International Journal of Industrial Ergonomics. 49: 97-107. DOI: 10.1016/J.Ergon.2015.02.002 |
0.317 |
|
| 2015 |
Anzanello MJ, Fu K, Fogliatto FF, Ferrão MF. HATR-FTIR wavenumber selection for predicting biodiesel/diesel blends flash point Chemometrics and Intelligent Laboratory Systems. 145: 1-6. DOI: 10.1016/J.Chemolab.2015.04.008 |
0.415 |
|
| 2014 |
Anzanello MJ, Fogliatto FS, Ortiz RS, Limberger R, Mariotti K. Selecting relevant Fourier transform infrared spectroscopy wavenumbers for clustering authentic and counterfeit drug samples. Science & Justice : Journal of the Forensic Science Society. 54: 363-8. PMID 25278199 DOI: 10.1016/J.Scijus.2014.04.005 |
0.424 |
|
| 2014 |
Anzanello MJ, Ortiz RS, Limberger R, Mariotti K. PLS-DA wavenumber selection for the categorization of medicine samples based on multiple criteria. Forensic Science International. 242: 111-6. PMID 25047218 DOI: 10.1016/J.Forsciint.2014.06.034 |
0.445 |
|
| 2014 |
Holsbach N, Fogliatto FS, Anzanello MJ. [A data mining method for breast cancer identification based on a selection of variables]. Ciencia & Saude Coletiva. 19: 1295-304. PMID 24820612 DOI: 10.1590/1413-81232014194.01722013 |
0.391 |
|
| 2014 |
Anzanello MJ, Ortiz RS, Limberger R, Mariotti K. A framework for selecting analytical techniques in profiling authentic and counterfeit Viagra and Cialis. Forensic Science International. 235: 1-7. PMID 24447444 DOI: 10.1016/J.Forsciint.2013.12.005 |
0.387 |
|
| 2014 |
Zimmer J, Anzanello MJ. A new framework for predictive variable selection based on variable importance indices | Um novo método para seleção de variáveis preditivas com base em índices de importância Producao. 24: 84-93. DOI: 10.1590/S0103-65132013005000030 |
0.47 |
|
| 2014 |
Anzanello MJ, Fogliatto FS. A review of recent variable selection methods in industrial and chemometrics applications European Journal of Industrial Engineering. 8: 619-645. DOI: 10.1504/Ejie.2014.065731 |
0.437 |
|
| 2014 |
Etcheverry G, Anzanello MJ. Sequenciamento de máquinas paralelas não-relacionadas com tempos de setup dependentes das tarefas Revista ProduçãO Online. 14: 890-913. DOI: 10.14488/1676-1901.V14I3.1498 |
0.319 |
|
| 2014 |
Silveira MC, Anzanello MJ, Etcheverry GV. Programação de produção via seleção de variáveis e simulação de Monte Carlo Revista ProduçãO Online. 14: 764-788. DOI: 10.14488/1676-1901.V14I2.1603 |
0.398 |
|
| 2014 |
Anzanello MJ, Fogliatto FS, Santos L. Learning dependent job scheduling in mass customized scenarios considering ergonomic factors International Journal of Production Economics. 154: 136-145. DOI: 10.1016/J.Ijpe.2014.04.016 |
0.353 |
|
| 2014 |
Anzanello MJ, Ortiz RS, Limberger R, Mariotti K. Performance of some supervised and unsupervised multivariate techniques for grouping authentic and unauthentic Viagra and Cialis Egyptian Journal of Forensic Sciences. 4: 83-89. DOI: 10.1016/J.Ejfs.2014.03.004 |
0.378 |
|
| 2013 |
Anzanello MJ, Ortiz RS, Limbergerb RP, Mayorga P. A multivariate-based wavenumber selection method for classifying medicines into authentic or counterfeit classes. Journal of Pharmaceutical and Biomedical Analysis. 83: 209-14. PMID 23770779 DOI: 10.1016/J.Jpba.2013.05.004 |
0.493 |
|
| 2013 |
Ortiz RS, Mariotti Kde C, Fank B, Limberger RP, Anzanello MJ, Mayorga P. Counterfeit Cialis and Viagra fingerprinting by ATR-FTIR spectroscopy with chemometry: can the same pharmaceutical powder mixture be used to falsify two medicines? Forensic Science International. 226: 282-9. PMID 23422165 DOI: 10.1016/J.Forsciint.2013.01.043 |
0.336 |
|
| 2013 |
Anzanello MJ. Seleção de variáveis para classificação de bateladas produtivas com base em múltiplos critérios Production Journal. 23: 858-865. DOI: 10.1590/S0103-65132013005000001 |
0.511 |
|
| 2013 |
Korzenowski AL, Anzanello MJ, Portugal MS, Caten CT. Predictive models with endogenous variables for quality control in customized scenarios affected by multiple setups Computers & Industrial Engineering. 65: 729-736. DOI: 10.1016/J.Cie.2013.04.011 |
0.415 |
|
| 2012 |
Guimarães LB, Anzanello MJ, Renner JS. A learning curve-based method to implement multifunctional work teams in the Brazilian footwear sector. Applied Ergonomics. 43: 541-7. PMID 21907970 DOI: 10.1016/J.Apergo.2011.08.008 |
0.31 |
|
| 2012 |
Stroieke RE, Fogliatto FS, Anzanello MJ. Análise de conglomerados em curvas de aprendizado para formação de agrupamentos homogêneos de trabalhadores Production Journal. 23: 537-547. DOI: 10.1590/S0103-65132012005000084 |
0.339 |
|
| 2012 |
Rossini K, Anzanello MJ, Fogliatto FS. Seleção de atributos em avaliações sensoriais descritivas Production Journal. 22: 380-390. DOI: 10.1590/S0103-65132012005000032 |
0.399 |
|
| 2012 |
Souza DVSd, Neto FJK, Anzanello MJ. Avaliação de desempenho da cadeia de suprimentos balizada por critérios de competitividade empresarial Revista ProduçãO Online. 12: 756-778. DOI: 10.14488/1676-1901.V12I3.976 |
0.383 |
|
| 2012 |
Anzanello MJ, Albin SL, Chaovalitwongse WA. Multicriteria variable selection for classification of production batches European Journal of Operational Research. 218: 97-105. DOI: 10.1016/J.Ejor.2011.10.015 |
0.707 |
|
| 2011 |
Anzanello MJ, Fogliatto FS. Programação de tarefas baseada em curvas de aprendizado para linhas de produção customizadas Revista ProduçãO Online. 11: 851-870. DOI: 10.14488/1676-1901.V11I3.955 |
0.355 |
|
| 2011 |
Filomena TP, Anzanello MJ, Neto FJK, Duffey M, Campos-Nanez E. Manufacturing feature-based cost management system: A case study in Brazil Production Planning and Control. 22: 414-425. DOI: 10.1080/09537287.2010.497505 |
0.319 |
|
| 2011 |
Anzanello MJ, Fogliatto FS. Selecting the best clustering variables for grouping mass-customized products involving workers' learning International Journal of Production Economics. 130: 268-276. DOI: 10.1016/J.Ijpe.2011.01.009 |
0.416 |
|
| 2011 |
Anzanello MJ, Fogliatto FS, Rossini K. Data mining-based method for identifying discriminant attributes in sensory profiling Food Quality and Preference. 22: 139-148. DOI: 10.1016/J.Foodqual.2010.08.010 |
0.443 |
|
| 2011 |
Anzanello MJ, Fogliatto FS. Learning curve models and applications: Literature review and research directions International Journal of Industrial Ergonomics. 41: 573-583. DOI: 10.1016/J.Ergon.2011.05.001 |
0.339 |
|
| 2010 |
Anzanello MJ, Fogliatto FS. Scheduling learning dependent jobs in customised assembly lines International Journal of Production Research. 48: 6683-6699. DOI: 10.1080/00207540903307599 |
0.33 |
|
| 2009 |
Anzanello MJ, Albin SL, Chaovalitwongse WA. Selecting the best variables for classifying production batches into two quality levels Chemometrics and Intelligent Laboratory Systems. 97: 111-117. DOI: 10.1016/J.Chemolab.2009.03.004 |
0.704 |
|
| 2007 |
Anzanello MJ, Fogliatto FS. Learning curve modelling of work assignment in mass customized assembly lines International Journal of Production Research. 45: 2919-2938. DOI: 10.1080/00207540600725010 |
0.342 |
|
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