Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition

An Empirical Investigation of Fault Triggers in Android Operating System

Qin, F., Zheng, Z., Li, X., Qiao, Y., & Trivedi, K. S. (2017) · IEEE Pacific Rim International Symposium on Dependable Computing (PRDC) · doi:10.1109/prdc.2017.27 · Cited by 26

Development and Psychometric Properties of the Detection of Sexual Abuse Risk Screening Scale (DSARss)

Gil‐Llario, M. D., Ballester‐Arnal, R., Morell‐Mengual, V., Caballero-Gascón, L., & Castro‐Calvo, J. (2019) · Sexual Abuse · doi:10.1177/1079063219858061 · Cited by 26

The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies

Verhaak, R. G. W., Staal, F. J. T., Valk, P. J. M., Löwenberg, B., Reinders, M. J. T., & de Ridder, D. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-105 · Cited by 26

A Survey of Data Quality Measurement and Monitoring Tools

Ehrlinger, L., & Wöß, W. (2022) · Frontiers in Big Data · doi:10.3389/fdata.2022.850611 · Cited by 25

Classical Monofactorial (Parametric and Non-parametric) Tests

Březina, V. (2020) · Springer eBooks · doi:10.1007/978-3-030-46216-1_20 · Cited by 27

Research on the Factors Influencing the Spatial Quality of High-Density Urban Streets: A Framework Using Deep Learning, Street Scene Images, and Principal Component Analysis

Li, K. (2024) · Land · doi:10.3390/land13081161 · Cited by 28

Method of Criteria Selection and Weights Calculation in the Process of Web Projects Evaluation

Ziemba, P., Piwowarski, M., Jankowski, J., & Wątróbski, J. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11289-3_69 · Cited by 25

Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma

Simoes, R. D. M., Tripathi, S., & Emmert‐Streib, F. (2012) · BMC Systems Biology · doi:10.1186/1752-0509-6-38 · Cited by 25

SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems

Hadavandi, E., Shahrabi, J., & Hayashi, Y. (2015) · Soft Computing · doi:10.1007/s00500-015-1623-7 · Cited by 25

Investigating student and staff perceptions of students' experiences in teaching laboratories through the lens of meaningful learning

George-Williams, S., Karis, D., Ziebell, A., Kitson, R. R. A., Coppo, P., Schmid, S., Thompson, C. D., & Overton, T. (2018) · Chemistry Education Research and Practice · doi:10.1039/c8rp00188j · Cited by 25

Type-2 Fuzzy PCA Approach in Extracting Salient Features for Molecular Cancer Diagnostics and Prognostics

Singh, V., Verma, N. K., & Cui, Y. (2019) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2019.2917814 · Cited by 27

Adoption of Sustainable Water Management Practices among Farmers in Saudi Arabia

Alotaibi, B. A., & Kassem, H. S. (2021) · Sustainability · doi:10.3390/su132011260 · Cited by 25

Beta-Band Frequency Peaks Inside the Subthalamic Nucleus as a Biomarker for Motor Improvement After Deep Brain Stimulation in Parkinson's Disease

Michmizos, K. P., Frangou, P., Stathis, P. G., Sakas, D. E., & Nikita, K. S. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2344102 · Cited by 24

Genetic algorithm and Tabu search based methods for molecular 3D-structure prediction

Hedar, A.-R., Ali, A. F., & Hamid, T. H. A. (2011) · Numerical Algebra Control and Optimization · doi:10.3934/naco.2011.1.191 · Cited by 25

The Communication Behavior of German MPs on Twitter: Preaching to the Converted and Attacking Opponents

Hegelich, S., & Shahrezaye, M. (2015) · European Policy Analysis · doi:10.18278/epa.1.2.8 · Cited by 25

Incidence and risk factors of early postoperative complications in patients after decompressive craniectomy: a 5-year experience

Hanko, M., Soršák, J., Snopko, P., Opšenák, R., Zeleňák, K., & Kolarovszki, B. (2020) · European Journal of Trauma and Emergency Surgery · doi:10.1007/s00068-020-01367-4 · Cited by 25

The “serendipitous brain”: Low expectancy and timing uncertainty of conscious events improve awareness of unconscious ones (evidence from the Attentional Blink)

Lasaponara, S., Dragone, A., Lecce, F., Russo, F. D., & Doricchi, F. (2015) · Cortex · doi:10.1016/j.cortex.2015.05.029 · Cited by 26

Fluoride Risk Assessment from Consumption of Different Foods Commercialized in a European Region

Jáudenes-Marrero, J. R., Gutiérrez, A. J., Paz, S., Rubio, C., & Hardisson, A. (2020) · Applied Sciences · doi:10.3390/app10186582 · Cited by 24

Combining Tensor Slice and Singular Value for Blind Light Field Image Quality Assessment

Pan, Z., Yu, M., Jiang, G., Xu, H., & Ho, Y. (2021) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2021.3056959 · Cited by 24

Increased activation product of complement 4 protein in plasma of individuals with schizophrenia

Kalinowski, A., Liliental, J., Anker, L. A., Linkovski, O., Culbertson, C. J., Hall, J. N., Pattni, R., Sabatti, C., Noordsy, D. L., Hallmayer, J. F., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01583-5 · Cited by 24

Ondansetron-droperidol combination vs. ondansetron or droperidol monotherapy in the prevention of postoperative nausea and vomiting

Matsota, P. K., Angelidi, M., Pandazi, A., Tzirogiannis, K. N., Panoutsopoulos, G. I., & Kostopanagiotou, G. G. (2015) · Archives of Medical Science · doi:10.5114/aoms.2015.50968 · Cited by 24

Evaluation of Depression in Subacute Low Back Pain: A Case Control Study

López‐López, D. (2017) · Pain Physician · doi:10.36076/ppj.2017.e505 · Cited by 24

Complexity reduction and interpretability improvement for fuzzy rule systems based on simple interpretability measures and indices by bi-objective evolutionary rule selection

Galende, M., Sainz-Palmero, G. I., & Fuente, M. J. (2011) · Soft Computing · doi:10.1007/s00500-011-0748-6 · Cited by 24

Slow and steady is not as easy as it sounds: interlimb coordination at slow speed is associated with elevated attentional demand especially in older adults

Fujiyama, H., Hinder, M. R., Garry, M. I., & Summers, J. J. (2013) · Experimental Brain Research · doi:10.1007/s00221-013-3511-7 · Cited by 24

Biases in atmospheric CO 2 estimates from correlated meteorology modeling errors

Miller, S. M., Hayek, M., Andrews, A. E., FUNG, I. Y., & Liu, J. (2015) · Atmospheric chemistry and physics · doi:10.5194/acp-15-2903-2015 · Cited by 24

Integrating a differential evolution feature weighting scheme into prototype generation

Isaac Triguero, A., Derrac, J., García, S., & Herrera, F. (2012) · Neurocomputing · doi:10.1016/j.neucom.2012.06.009 · Cited by 24

Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem

Nalluri, M. R., Krithivasan, K., Gao, X., & Roy, D. S. (2019) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-019-01047-9 · Cited by 23

The external–internal loop of interference: Two types of attention and their influence on the learning abilities of mice

Sauce, B., Wass, C., Smith, A., Kwan, S. A., & Matzel, L. D. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.10.005 · Cited by 25

An Update on Severe Acute Respiratory Syndrome Coronavirus 2 Diversity in the US National Capital Region: Evolution of Novel and Variants of Concern

Morris, C. P., Luo, C. H., Amadi, A., Schwartz, M. C., Gallagher, N., Ray, S. C., Pekosz, A. S., & Mostafa, H. H. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab636 · Cited by 25

Öğretim Materyali’ne İlişkin Motivasyon Ölçeği (ÖMMÖ) Türkçe Uyarlama Çalışması

Dinçer, S., & Doğanay, A. (2016) · İlköğretim Online · doi:10.17051/io.2016.19056 · Cited by 25

An Investigation of the Ship Safety Distance for Bridges across Waterways Based on Traffic Distribution

Son, W.-J., Lee, J.-S., Lee, H.-T., & Cho, I.-S. (2020) · Journal of Marine Science and Engineering · doi:10.3390/jmse8050331 · Cited by 23

A Naturalistic Study of MST Dissemination in 13 Ohio Communities

Carstens, C. A., Panzano, P. C., Massatti, R. R., Roth, D., & Sweeney, H. A. (2008) · The Journal of Behavioral Health Services & Research · doi:10.1007/s11414-008-9124-4 · Cited by 23

Influence of soil particle shape on saturated hydraulic conductivity

Zięba, Z. (2016) · Journal of Hydrology and Hydromechanics · doi:10.1515/johh-2016-0054 · Cited by 23

Cooperative co-evolution with sensitivity analysis-based budget assignment strategy for large-scale global optimization

Mahdavi, S., Rahnamayan, S., & Shiri, M. E. (2017) · Applied Intelligence · doi:10.1007/s10489-017-0926-z · Cited by 23

Asymmetric Release Planning: Compromising Satisfaction against Dissatisfaction

Nayebi, M., & Ruhe, G. (2018) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2018.2810895 · Cited by 23

Blind Image Quality Assessment of Natural Scenes Based on Entropy Differences in the DCT Domain

Yang, X., Li, F., Zhang, W., & He, L. (2018) · Entropy · doi:10.3390/e20110885 · Cited by 24

Fighting Accounting Fraud Through Forensic Data AnalyticsPreprint

Jofre, M., & Gerlach, R. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3176288 · Cited by 23

The odds ratio: Principles and applications

Kalra, A. (2016) · Journal of the Practice of Cardiovascular Sciences · doi:10.4103/2395-5414.182992 · Cited by 22

Differential evolution utilizing a handful top superior individuals with bionic bi-population structure for the enhancement of optimization performance

Meng, Z., Pan, J., & Zheng, W. (2018) · Enterprise Information Systems · doi:10.1080/17517575.2018.1491064 · Cited by 22

Combined weighted multi-objective optimizer for instance reduction in two-class imbalanced data problem

Hamidzadeh, J., Kashefi, N., & Moradi, M. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2020.103500 · Cited by 22

Empirical study of the relationship between design patterns and code smells

Alfadel, M., Aljasser, K., & Alshayeb, M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231731 · Cited by 31

Measuring Ethical Organizational Culture: Validation of the Spanish Version of the Shortened Corporate Ethical Virtues Model

Arias, J. T., Ruiz‐Palomino, P., & Córdoba, M. D. P. R. (2021) · Journal of Business Ethics · doi:10.1007/s10551-020-04687-y · Cited by 22

Kinetic Modelling of Betalain Stability and Color Changes in Yogurt During Storage

Güneşer, O. (2021) · Polish Journal of Food and Nutrition Sciences · doi:10.31883/pjfns/134393 · Cited by 24

The transition to first year chemistry: student, secondary and tertiary educator's perceptions of student preparedness

Leong, E. Y. M., Mercer, A., Danczak, S., Kyne, S. H., & Thompson, C. D. (2021) · Chemistry Education Research and Practice · doi:10.1039/d1rp00068c · Cited by 23

International R&D sourcing, innovation and firm age: The advantage of ‘born-international sourcers’

Asimakopoulos, G., Revilla, A. J., & Rodríguez, A. (2022) · Technovation · doi:10.1016/j.technovation.2022.102662 · Cited by 22

Assessment of the diagnostic performance of serological tests in areas where Leishmania infantum and Leishmania tarentolae occur in sympatry

Iatta, R., Carbonara, M., Morea, A., Trerotoli, P., Benelli, G., Nachum‐Biala, Y., Mendoza‐Roldan, J. A., Cavalera, M. A., Baneth, G., Bandi, C., et al. (2023) · Parasites & Vectors · doi:10.1186/s13071-023-05981-0 · Cited by 22

Bis[3,5‐bis(benzylidene)‐4‐oxo‐1‐piperidinyl]amides: A Novel Class of Potent Cytotoxins

Das, S., Das, U., Varela-Ramı́rez, A., Lema, C., Aguilera, R. J., Balzarini, J. M., Clercq, E. D., Dimmock, S. G., Gorecki, D. K. J., & Dimmock, J. R. (2011) · ChemMedChem · doi:10.1002/cmdc.201100199 · Cited by 22

Parallel hyperheuristics for the frequency assignment problem

Segura, C., Miranda, G., & León, C. (2010) · Memetic Computing · doi:10.1007/s12293-010-0044-5 · Cited by 22

Hashtags and followers

García-Martín, E., Lavesson, N., & Doroud, M. (2016) · Social Network Analysis and Mining · doi:10.1007/s13278-016-0320-6 · Cited by 22

Accounting for data variability, a key factor in in vivo/in vitro relationships: application to the skin sensitization potency (in vivo LLNA versus in vitro DPRA) example

Dimitrov, S. D., Detroyer, A., Piroird, C., Gomes, C., Eilstein, J., Pauloin, T., Kuseva, C. D., Ivanova, H., Popova, I., Karakolev, Y. H., et al. (2016) · Journal of Applied Toxicology · doi:10.1002/jat.3318 · Cited by 22

Associating the Severity of Vulnerabilities with their Description

Toloudis, D., Spanos, G., & Angelis, L. (2016) · Lecture notes in business information processing · doi:10.1007/978-3-319-39564-7_22 · Cited by 22

Search‐based model transformations

Fleck, M., Troya, J., & Wimmer, M. (2016) · Journal of Software Evolution and Process · doi:10.1002/smr.1804 · Cited by 22

Reproducibility of peak oxygen consumption and the impact of test variability on classification of individual training responses in young recreationally active adults

Edgett, B. A., Bonafiglia, J. T., Raleigh, J. P., Rotundo, M. P., Giles, M. D., Whittall, J. P., & Gurd, B. J. (2017) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12459 · Cited by 26

Statistical Study of Machine Learning Algorithms Using Parametric and Non-Parametric Tests

Khadse, V. M., Mahalle, P. N., & Shinde, G. R. (2020) · International Journal of Ambient Computing and Intelligence · doi:10.4018/ijaci.2020070105 · Cited by 21

Heat Maps: Perfect Maps for Quick Reading? Comparing Usability of Heat Maps with Different Levels of Generalization

Słomska-Przech, K., Panecki, T., & Pokojski, W. (2021) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi10080562 · Cited by 21

Colour Preference of the Deer Ked Lipoptena fortisetosa (Diptera: Hippoboscidae)

Andreani, A., Rosi, M. C., Guidi, R., Jafrancesco, D., Farini, A., Belcari, A., & Sacchetti, P. (2021) · Insects · doi:10.3390/insects12090845 · Cited by 21

Production of flavor compounds from rice bran by yeasts metabolisms of Kluyveromyces marxianus and Debaryomyces hansenii

Güneşer, O., Yüceer, Y. K., HOŞOĞLU, M. İ., Toğay, S. Ö., & Elibol, M. (2022) · Brazilian Journal of Microbiology · doi:10.1007/s42770-022-00766-6 · Cited by 22

An Enhanced Spectral Fusion 3D CNN Model for Hyperspectral Image Classification

Zhou, J., Zeng, S., Xiao, Z., Zhou, J., Li, H., & Kang, Z. (2022) · Remote Sensing · doi:10.3390/rs14215334 · Cited by 24

A Novel Binary Artificial Jellyfish Search Algorithm for Solving 0–1 Knapsack Problems

Yıldızdan, G., & Baş, E. (2023) · Neural Processing Letters · doi:10.1007/s11063-023-11171-x · Cited by 21

Reconciling questions about dichotomizing variables in criminal justice research

Iselin, A.-M. R., Gallucci, M., & Decoster, J. (2013) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2013.07.002 · Cited by 22

Company Profitability Before and After IPO. Is it a Windows Dressing or Equity Dilution Effect?

Pastusiak, R., Bolek, M., Malaczewski, M., & Kacprzyk-Murawska, M. (2015) · Prague Economic Papers · doi:10.18267/j.pep.540 · Cited by 21

Towards a software vulnerability prediction model using traceable code patterns and software metrics

Sultana, K. Z. (2017) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase.2017.8115724 · Cited by 21

Solution of Short-Term Hydrothermal Scheduling Problem Using Quasi-Reflected Symbiotic Organisms Search Algorithm Considering Multi-fuel Cost Characteristics of Thermal Generator

Das, S., Bhattacharya, A., & Chakraborty, A. K. (2017) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-017-2973-5 · Cited by 21

Two Meta-Heuristics Designed to Solve the Minimum Connected Dominating Set Problem for Wireless Networks Design and Management

Hedar, A.-R., Ismail, R., El-Sayed, G. A., & Khayyat, K. M. J. (2018) · Journal of Network and Systems Management · doi:10.1007/s10922-018-9480-1 · Cited by 21

Shape-based outlier detection in multivariate functional data

Lejeune, C., Mothe, J., Soubki, A., & Teste, O. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.105960 · Cited by 21

Cytokine profiling: variation in immune modulation with preterm birth vs. uncomplicated term birth identifies pivotal signals in pathogenesis of preterm birth

Denney, J. M., Nelson, E. L., Wadhwa, P., Waters, T. P., Mathew, L., Goldenberg, R. L., & Culhane, J. F. (2020) · Journal of Perinatal Medicine · doi:10.1515/jpm-2020-0025 · Cited by 21

Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems

Robles, I., Alcalá, R., Benítez, J. M., & Herrera, F. (2009) · Evolutionary Intelligence · doi:10.1007/s12065-009-0025-0 · Cited by 21

Influência da distância da borda e do adensamento foliar sobre a abundância de plantas pioneiras em um fragmento de floresta tropical submontana na Estação Ecológica de Wenceslau Guimarães (Bahia, Brasil)

Rigueira, D. M. G., Molinari, A. L. M., Mariano, D. L. S., Reis, R. M., Portugal, A. B., Santana, N. D. S., & dos Santos, R. A. (2012) · Acta Botanica Brasilica · doi:10.1590/s0102-33062012000100019 · Cited by 21

Comparison of correlation measures for nominal data

Islam, T. U., & Rizwan, M. (2021) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2020.1869984 · Cited by 20

A parallel programming assessment for stream processing applications on multi-core systems

Andrade, G., Griebler, D., dos Santos, R. P., & Fernandes, L. G. (2022) · Computer Standards & Interfaces · doi:10.1016/j.csi.2022.103691 · Cited by 20

Solving multimodal optimization problems using adaptive differential evolution with archive

Agrawal, S., & Tiwari, A. (2022) · Information Sciences · doi:10.1016/j.ins.2022.09.023 · Cited by 20

An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System

Stolfi, D. H., & Danoy, G. (2022) · Applied Sciences · doi:10.3390/app122010218 · Cited by 20

Tear Fluid Biomarkers and Quality of Life in People with Type 2 Diabetes and Dry Eye Disease

Byambajav, M., Hagan, S., Collier, A., & Shu, X. (2023) · Metabolites · doi:10.3390/metabo13060733 · Cited by 20

Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms

Mohammadi, A., Omidvar, M. N., Li, X., & Deb, K. (2015) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2015.7257248 · Cited by 20

Coastal Changes and Cultural Heritage (2): An Experiment in the Vilaine Estuary (Brittany, France)

Shi, B., Proust, J., Daire, M.-Y., López-Romero, E., Regnauld, H., & Pian, S. (2012) · The Journal of Island and Coastal Archaeology · doi:10.1080/15564894.2012.686083 · Cited by 20

Evaluation of Novel Urinary Renal Biomarkers with a Cisplatin Model of Kidney Injury: Effects of Collection Period

Pinches, M., Betts, C. J., Bickerton, S. J., Beattie, L., Burdett, L. D., Thomas, H. T., Derbyshire, N. A., & Moores, M. (2012) · Toxicologic Pathology · doi:10.1177/0192623311432437 · Cited by 20

Unravelling the pathogenic role and genotype-phenotype correlation of the USH2A p.(Cys759Phe) variant among Spanish families

Pérez-Carro, R., Blanco‐Kelly, F., Galbis‐Martínez, L., García‐García, G., Aller, E., García‐Sandoval, B., Mínguez, P., Cortón, M., Mahíllo, I., Martín-Mérida, I., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0199048 · Cited by 20

Perceptual Quality Assessment of UHD-HDR-WCG Videos

Athar, S., Costa, T., Zeng, K., & Wang, Z. (2019) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2019.8803179 · Cited by 20

CONSIDERING THE FARM WORKFORCE AS PART OF FARMERS' INNOVATIVE BEHAVIOUR: A KEY FACTOR IN INCLUSIVE ON-FARM PROCESSES OF TECHNOLOGY AND PRACTICE ADOPTION

Cofré, G., Engler, A., Klerkx, L., Bianchi, M. L., Adasme‐Berríos, C., & Cáceres, C. (2018) · Experimental Agriculture · doi:10.1017/s0014479718000315 · Cited by 20

Efficacy of speech language therapy intervention in unilateral vocal fold paralysis – a systematic review and a meta-analysis of visual-perceptual outcome measures

Alegria, R. F. D. G., Freitas, S. V., & Manso, M. C. (2020) · Logopedics Phoniatrics Vocology · doi:10.1080/14015439.2020.1762730 · Cited by 19

Clustering Sustainable Destinations: Empirical Evidence from Selected Mediterranean Countries

Glyptou, K., Kalogeras, N., Skuras, D., & Spilanis, Ι. (2022) · Sustainability · doi:10.3390/su14095507 · Cited by 19

Strategies to Reduce the Impact of Resource Consumption in the Ghanaian Construction Industry

Kukah, A. S. K., Blay, A. V. K., & Opoku, A. (2022) · Malaysian journal of real estate/International journal of real estate studies · doi:10.11113/intrest.v16n1.88 · Cited by 19

Modified total Bregman divergence driven picture fuzzy clustering with local information for brain MRI image segmentation

Lohit, H., & Kumar, D. (2023) · Applied Soft Computing · doi:10.1016/j.asoc.2023.110460 · Cited by 19

Multiple dynamic interactions from basal ganglia direct and indirect pathways mediate action selection

Li, H., & Jin, X. (2023) · eLife · doi:10.7554/elife.87644 · Cited by 22

Hip abductors and thigh muscles strength ratios and their relation to electromyography amplitude during split squat and walking lunge exercises

Šťastný, P., Tufano, J. J., Lehnert, M., Gołaś, A., Zaatar, A. M. Z., Xaverová, Z., & Maszczyk, A. (2015) · Acta Gymnica · doi:10.5507/ag.2015.011 · Cited by 19

Non-adherence to treatment in inflammatory bowel disease in Czech Republic

Červený, P., Bortlík, M., Vlček, J., Kuběna, A. A., & Lukáš, M. (2007) · Journal of Crohn s and Colitis · doi:10.1016/j.crohns.2007.08.002 · Cited by 19

On the suitability of the generalized Pareto to model extreme waves

Teixeira, R., Nogal, M., & O’Connor, A. (2018) · Journal of Hydraulic Research · doi:10.1080/00221686.2017.1402829 · Cited by 19

Differentiation and quantification of fibrosis, fat and fatty fibrosis in human left atrial myocardium using ex vivo MRI

Bouazizi, K., Rahhal, A., Kuśmia, S., Evin, M. A., Defrance, C., Cluzel, P., Berthet, M., Atassi, F., Leprince, P. N., Lebreton, G., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205104 · Cited by 19

A Large-Scale Empirical Study on Linguistic Antipatterns Affecting APIs

Aghajani, E., Nagy, C., Bavota, G., & Lanza, M. (2018) · IEEE International Conference on Software Maintenance (ICSM) · doi:10.1109/icsme.2018.00012 · Cited by 19

Mobile Screening Units for the Early Detection of Breast Cancer and Cardiovascular Disease: A Pilot Telemedicine Study in Southern Italy

Marino, M. M., Rienzo, M., Serra, N., Marino, N., Ricciotti, R., Mazzariello, L., Leonetti, C. A., Ceraldi, M. P., Casamassimi, A., Capocelli, F., et al. (2019) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2018.0328 · Cited by 19

Predictive modelling to support sensitivity analysis for robust design in aerospace engineering

Dasari, S. K., Cheddad, A., & Andersson, P. (2020) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-019-02467-5 · Cited by 19

Testing a New Structured Tool for Supporting Requirements’ Formulation and Decomposition

Fiorineschi, L., Becattini, N., Borgianni, Y., & Rotini, F. (2020) · Applied Sciences · doi:10.3390/app10093259 · Cited by 19

Strategies for controlling sleep-related intrusive thoughts, and subjective and objective sleep quality: how self-reported poor and good sleepers differ

Sella, E., & Borella, E. (2020) · Aging & Mental Health · doi:10.1080/13607863.2020.1783513 · Cited by 19

Dark fermentation effectiveness as a key step for waste biomass refineries: influence of organic matter macromolecular composition and bioavailability

Manzini, E., Scaglia, B., Schievano, A., & Adani, F. (2015) · International Journal of Energy Research · doi:10.1002/er.3347 · Cited by 19

Comparison of Dental Students’ Self‐Directed, Faculty, and Software‐Based Assessments of Dental Anatomy Wax‐Ups: A Retrospective Study

Garrett, P. H., Faraone, K. L., Patzelt, S. B. M., & Keaser, M. L. (2015) · Journal of Dental Education · doi:10.1002/j.0022-0337.2015.79.12.tb06043.x · Cited by 19

Maternal psychological distress during pregnancy does not increase the risk for adverse birth outcomes

Staneva, A., Morawska, A., Bogossian, F. E., & Wittkowski, A. (2017) · Women & Health · doi:10.1080/03630242.2017.1282395 · Cited by 20

Concurrent control of a brain–computer interface and natural overt movements

Bashford, L., Wu, J., Sarma, D., Collins, K. L., Rao, R. P. N., Ojemann, J. G., & Mehring, C. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aadf3d · Cited by 17

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Handbook of Nonparametric Statistics.

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