Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition

Multiple instance classification: Bag noise filtering for negative instance noise cleaning

Luengo, J., Sánchez-Tarragó, D., Prati, R. C., & Herrera, F. (2021) · Information Sciences · doi:10.1016/j.ins.2021.07.076 · Cited by 10

Suitability of Engineering-Geological Environment on the Basis of Its Permeability Coefficient: Four Case Studies of Fine-Grained Soils

Marschalko, M., Zięba, Z., Niemiec, D., Neuman, D. L., Mońka, J., & Dąbrowska, J. (2021) · Materials · doi:10.3390/ma14216411 · Cited by 10

Electrodermal activity based autonomic sleep staging using wrist wearable

Anusha, A. S., Preejith, S. P., Akl, T. J., & Sivaprakasam, M. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.103562 · Cited by 10

MmLwThV framework: A masked face periocular recognition system using thermo-visible fusion

Mishra, N. K., Kumar, S., & Singh, S. K. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03517-0 · Cited by 12

Feature Selection Based on Mud Ring Algorithm for Improving Survival Prediction of Children Undergoing Hematopoietic Stem-Cell Transplantation

Bakrawy, L. M. E., Bailek, N., Abualigah, L., Urooj, S., & Desuky, A. S. (2022) · Mathematics · doi:10.3390/math10224197 · Cited by 10

Comprehensive Framework for Assessment of Radar-Based Precipitation Data Estimates

Teegavarapu, R. S. V., Goly, A., & Wu, Q. (2015) · Journal of Hydrologic Engineering · doi:10.1061/(asce)he.1943-5584.0001277 · Cited by 10

Can ELISpot replace the tuberculin skin test for latent tuberculosis?

Greveson, K. (2009) · British Journal of Nursing · doi:10.12968/bjon.2009.18.20.45120 · Cited by 10

Regional radiation dose susceptibility within the parotid gland: Effects on salivary loss and recovery

Clark, H., Hovan, A. J., Moiseenko, V., Thomas, S., Wu, J., & Reinsberg, S. A. (2015) · Medical Physics · doi:10.1118/1.4915077 · Cited by 10

Perturbation of Posterior Inferior Temporal Cortical Activity Impairs Coarse Orientation Discrimination

Adab, H. Z., & Vogels, R. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv178 · Cited by 10

Association Between the Asp312Asn, Lys751Gln, and Arg156Arg Polymorphisms in XPD and the Risk of Prostate Cancer

Fu, W., Xiao, F., Zhang, R., Li, J., Zhao, D. H., Lin, X., Xu, Y., Song, X., Xie, Z., Wen, Q., et al. (2017) · Technology in Cancer Research & Treatment · doi:10.1177/1533034617724678 · Cited by 10

Collective information-based teaching–learning-based optimization for global optimization

Peng, Z. K., Zhang, S. X., Zheng, S. Y., & Long, Y. L. (2019) · Soft Computing · doi:10.1007/s00500-018-03741-2 · Cited by 10

Automating Gamification Personalization to the User and Beyond

Rodrigues, L., Toda, A. M., Oliveira, W., Palomino, P. T., Vassileva, J., & Isotani, S. (2022) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2022.3162409 · Cited by 23

The Gap Between Desired and Actual Level of Families Well–Being According to the Results Sociological and Demographic Married Couples Survey

Antonov, A., Карпова, В. М., & Lyalikova, S. (2021) · Living Standards of the Population in the Regions of Russia · doi:10.19181/lsprr.2021.17.1.9 · Cited by 10

The Application of Spearman Partial Correlation for Screening Predictors of Weight Loss in a Multiomics Dataset

da Rosa, J. C., Alemán, J. O., Mohabir, J. T., Liang, Y., Breslow, J. L., & Holt, P. R. (2022) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2022.0135 · Cited by 9

Novel Earned Value Management System Maturity Framework and Its Relation to Project Performance

Aramali, V., Gibson, G. E., Asmar, M. E., & Sanboskani, H. (2023) · Journal of Construction Engineering and Management · doi:10.1061/jcemd4.coeng-12985 · Cited by 9

Statistical description of fracture toughness revisited: Implications for evaluation of the reference temperature, T0 , and characteristic fracture toughness

Ruggieri, C., Leite, L. G. T. S., & Ferreira, D. C. F. (2024) · Mechanics of Materials · doi:10.1016/j.mechmat.2024.105055 · Cited by 9

Exploring unconscious user responses to affective computing in interactive prototypes: a consumer neuroscience study

Saavedra, Á., Chocarro, R., Cortiñas, M., & Rubio, N. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2504514 · Cited by 10

Hyperheuristics for a Dynamic-Mapped Multi-Objective Island-Based Model

León, C., Miranda, G., & Segura, C. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02481-8_7 · Cited by 9

Large-scale complex ontology matching through anchor-based semantic partitioning technique and confidence matrix based evolutionary algorithm

Xue, X., Tsai, P., & Chen, J. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.109516 · Cited by 9

Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms

Márquez, A. A., Márquez, F. A., & Peregrín, A. (2009) · Evolutionary Intelligence · doi:10.1007/s12065-009-0026-z · Cited by 9

Process Validation of Urban Freight and Logistics Models

Donnelly, R., Thompson, R. G., & Wigan, M. R. (2012) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2012.03.117 · Cited by 9

MOODLE EN LA ENSEÑANZA PRESENCIAL Y MIXTA DEL INGLÉS EN CONTEXTOS UNIVERSITARIOS (MOODLE IN BLENDED AND FACE-TO-FACE INTERACTIVE TEACHING OF ENGLISH AT THE UNIVERSITY LEVEL)

Rey, I. G., García, E., & García, M. R. (2012) · RIED Revista Iberoamericana de Educación a Distancia · doi:10.5944/ried.1.12.926 · Cited by 9

A SAS macro for computing statistical tests for two-way table and stability indices of nonparametric method from genotype-by-environment interaction

Akbarpour, O., Dehghani, H., Sorkhi-Lalelo, B., & Kang, M. S. (2016) · Acta Scientiarum Agronomy · doi:10.4025/actasciagron.v38i1.26381 · Cited by 9

Prospective clinical evaluation of a novel anatomic cuff for forearm crutches in patients with osteoarthritis

Hügle, T., Arnieri, A., Bünter, M., Schären, S., & Mündermann, A. (2017) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-017-1459-7 · Cited by 9

Can Anyone Hear Us? An Exploration of Echo Chambers at a Land-Grant University

Ruth, T., Rumble, J. N., Galindo-Gonzalez, S., Lundy, L. K., Carter, H., & Folta, K. (2019) · Journal of Applied Communications · doi:10.4148/1051-0834.2242 · Cited by 8

Enhancing Rolling Horizon Evolution with Policy and Value Networks

Tong, X., Liu, W., & Li, B. (2019) · IEEE Conference on Games (CoG) · doi:10.1109/cig.2019.8848041 · Cited by 9

Effects of Spatial Variability in the Groundwater Isotopic Composition on Hydrograph Separation Results for a Pre‐Alpine Headwater Catchment

Kiewiet, L., van Meerveld, I., & Seibert, J. (2020) · Water Resources Research · doi:10.1029/2019wr026855 · Cited by 9

Variación espacio-temporal de larvas de peces en el golfo de Guayaquil, Ecuador

Calderón-Peralta, G., Ayora-Macias, G., & Solís-Coello, P. (2020) · Boletín de Investigaciones Marinas y Costeras · doi:10.25268/bimc.invemar.2020.49.1.778 · Cited by 9

Muscle Synergies Reliability in the Power Clean Exercise

Santos, P., Vaz, J. R., Correia, P. F. M. M., Valamatos, M. J., Veloso, A., & Pezarat‐Correia, P. (2020) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk5040075 · Cited by 9

On the Impact of Aesthetic Defects on the Maintainability of Mobile Graphical User Interfaces: An Empirical Study

Soui, M., Chouchane, M., Bessghaier, N., Mkaouer, M. W., & Kessentini, M. (2021) · Information Systems Frontiers · doi:10.1007/s10796-020-10100-w · Cited by 9

Does Demographic Characteristics Affect Remittance Behavior? An Analysis of Migrants in the UAE

Khan, I., & Akhtar, M. A. (2021) · Contemporary Review of the Middle East · doi:10.1177/23477989211032474 · Cited by 9

Projecting spatiotemporal variations of sunshine duration with regards to climate change in Iran as a step towards clean energy

Ghanghermeh, A., Roshan, G., & Halabian, A. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102630 · Cited by 9

ANALISIS SISTEM ANTRIAN PADA LOKET PEMBAYARAN PT. PLN (PERSERO) AREA BALI SELATAN RAYON KUTA

MARTHA, N. G. P., SUKARSA, I. K. G., & KENCANA, I. P. E. N. (2012) · E-Jurnal Matematika · doi:10.24843/mtk.2012.v01.i01.p002 · Cited by 9

Hybrid Black Hole Algorithm for Bi-Criteria Job Scheduling on Parallel Machines

Jeet, K., Dhir, R., & Singh, P. (2016) · International Journal of Intelligent Systems and Applications · doi:10.5815/ijisa.2016.04.01 · Cited by 9

Characterization and mapping of a QTL derived from Solanum habrochaites associated with elevated rutin content (quercetin-3-rutinoside) in tomato

Hanson, P. M., Schafleitner, R., Huang, S., Tan, C.-W., Ledesma, D. R., & Yang, R.-Y. (2014) · Euphytica · doi:10.1007/s10681-014-1180-7 · Cited by 9

Second home tourism in the Algarve – The perception of public managers

D’Emery, R., Pinto, H., & de Almeida, C. R. (2017) · Revista Brasileira de Pesquisa em Turismo · doi:10.7784/rbtur.v11i2.1246 · Cited by 9

On integrating re-ranking and rank list fusion techniques for image retrieval

Arun, K. S., Govindan, V. K., & Kumar, S. D. M. (2017) · International Journal of Data Science and Analytics · doi:10.1007/s41060-017-0056-z · Cited by 9

Impact of a Programme for Water Affordability on Residential Consumption: Implementation of the “Programa Mínimo Vital de Agua Potable” in Bogotá, Colombia

Vargas, L. J., Mingoti, S. A., & Heller, L. (2018) · Water · doi:10.3390/w10020158 · Cited by 9

BoolTest: The Fast Randomness Testing Strategy Based on Boolean Functions with Application to DES, 3-DES, MD5, MD6 and SHA-256

Sýs, M., Klinec, D., Kubíček, K., & Švenda, P. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-11039-0_7 · Cited by 9

Increase in the Acute:Chronic Workload Ratio relates to Injury Risk in Competitive Runners

Dijkhuis, T. B., Otter, R., Aiello, M., Velthuijsen, H., & LEMMINK, K. A. P. M. (2020) · International Journal of Sports Medicine · doi:10.1055/a-1171-2331 · Cited by 9

A study of the use of multi‐objective evolutionary algorithms to learn Boolean queries: A comparative study

López-Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21060 · Cited by 9

Deconstructing student perception of incivility in the nursing education triad

Beck, J. (2009) · doi:10.31390/gradschool_dissertations.2511 · Cited by 9

A Scoring Model to Assess Organizations' Technology Transfer Capabilities: The Case of a Power Utility in the Northwest USA

Lavoie, J. R. (2000) · doi:10.15760/etd.6871 · Cited by 9

An Artificial Neural Network Approach to Predict the Future Land Use Land Cover of Great Malang Region, IndonesiaPreprint

Ramdani, F., Setiawan, B. D., Rusydi, A. N., & Furqon, M. T. (2021) · Preprints.org · doi:10.20944/preprints202103.0247.v1 · Cited by 9

Adaptive Differential Evolution with the Stagnation Termination Mechanism

Liu, Y., Zheng, L., & Cai, B. (2024) · Mathematics · doi:10.3390/math12203168 · Cited by 8

Label-Aware Causal Feature Selection

Ling, Z., Wu, J., Zhang, Y., Zhou, P., Wu, X., Yu, K., & Wu, X. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3522580 · Cited by 8

Performance Measurement of Gesture-Based Human–Machine Interfaces Within eXtended Reality Head-Mounted Displays

Angrisani, L., D’Arco, M., Benedetto, E. D., Duraccio, L., Regio, F. L., Sansone, M., & Tedesco, A. (2025) · Sensors · doi:10.3390/s25092831 · Cited by 8

Peer tutoring in higher education: power from pedagogical training

Lin, P., Zhou, Q., Ma, J., Wang, X., & Wu, J. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04860-6 · Cited by 13

Insufficient reporting quality in large language model studies in the field of radiology

Suh, P. S., Jeong, S. Y., Ueda, D., Shim, W. H., Heo, H., Woo, C.-Y., Park, H., & Suh, C. H. (2026) · Insights into Imaging · doi:10.1186/s13244-026-02236-1 · Cited by 10

Pattern and Drivers of White-Tailed Deer (Odocoileus virginianus) Herbivory on Tree Saplings across a Plateau Landscape

Evans, J. P., Oldfield, C. A., Cecala, K. K., Hiers, J. K., de Ven, C. V., & Armistead, M. (2016) · Forests · doi:10.3390/f7050101 · Cited by 8

A Nonparametric Approach to Signal Detection in Non-Gaussian Noise

Chen, C., Xu, W., Pan, Y., Zhu, H., & Wang, J. (2022) · IEEE Signal Processing Letters · doi:10.1109/lsp.2022.3143031 · Cited by 8

Enhancing pest control interventions by linking species distribution model prediction and population density assessment of pine wilt disease vectors in South Korea

Kim, I., Nam, Y., Park, S., Cho, W., Choi, K., & Ko, D. W. (2024) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2023.1305573 · Cited by 8

Why Shapley Value and Its Variants Are Useful in Machine Learning (and in Other Applications)

Bokati, L., Kosheleva, O. M., Крейнович, В., & Thạch, N. N. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-43601-7_10 · Cited by 8

Evaluating Bicycle Path Roughness: A Comparative Study Using Smartphone and Smart Bicycle Light Sensors

Ahmed, T., Pirdavani, A., Wets, G., & Janssens, D. (2024) · Sensors · doi:10.3390/s24227210 · Cited by 8

The problem of percentile rank scores used with small reference sets

Bornmann, L. (2013) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22720 · Cited by 8

Applying Rasch analysis to evaluate measurement equivalence of different administration formats of the Activity Limitation scale of the Cambridge Pulmonary Hypertension Outcome Review (CAMPHOR)

Twiss, J., McKenna, S. P., Graham, J., Swetz, K. M., Sloan, J., & Gomberg‐Maitland, M. (2016) · Health and Quality of Life Outcomes · doi:10.1186/s12955-016-0462-2 · Cited by 8

Development of a Scale for the Attitude Towards Children’s Rights Education

Öztürk, A., & Doğanay, A. (2017) · Educational Process International Journal · doi:10.22521/edupij.2017.63.3 · Cited by 8

Penerapan Model Student Teams Achievement Division Terhadap Kemampuan Pemahaman Konsep Matematika Siswa Kelas VIII

Yanuar, Y., Sukmawati, K. I., & Arifin, S. (2019) · UNION Jurnal Ilmiah Pendidikan Matematika · doi:10.30738/union.v7i1.3151 · Cited by 8

Asymmetry in Usability Evaluation of the Assistive Technology among Users With and Without Disabilities

Bajcar, B., Borkowska, A., & Jach, K. (2020) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2020.1798084 · Cited by 8

Enter the Shark Tank: The Impact of Business Models on Early Stage Financing

Böttcher, T. P., Bootz, V., Zubko, Т., Weking, J., Böhm, M., & Krcmar, H. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-86800-0_20 · Cited by 8

Impacts of IDEF0-Based Models on the Usefulness, Learning, and Value Metrics of Scrum and XP Project Management Guides

Mora, M., Adelakun, O., Galván-Cruz, S., & Fen, W. (2021) · Engineering Management Journal · doi:10.1080/10429247.2021.1958631 · Cited by 8

TREATMENT OF NON-SPECIFIC CHRONIC LOW BACK PAIN: RESISTANCE TRAINING WITH OR WITHOUT USING WEIGHTS?

de Oliveira, C. T., Kanas, M., & Wajchenberg, M. (2021) · Revista Brasileira de Medicina do Esporte · doi:10.1590/1517-8692202127062020_0121 · Cited by 8

Assessment of the principal factors influencing the silver cyanidation process by using Plackett-Burman experimental design

Zmirli, Z., Driouich, A., Harfaoui, S. E., Mohssine, A., Mountacer, H., Sallek, B., & Chaair, H. (2022) · Scientific African · doi:10.1016/j.sciaf.2022.e01137 · Cited by 8

Rules embedded harris hawks optimizer for large-scale optimization problems

Samma, H., & Sama, A. S. B. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07146-z · Cited by 8

Translating transcriptomic findings from cancer model systems to humans through joint dimension reduction

Price, B. A., Marron, J. S., Mose, L. E., Perou, C. M., & Parker, J. S. (2023) · Communications Biology · doi:10.1038/s42003-023-04529-3 · Cited by 8

Neurological signs and pre‐ and post‐traction low‐field MRI findings in Dobermanns with disc‐associated cervical spondylomyelopathy

Stabile, F., Bernardini, M., Bevilacqua, G., Ekiri, A. B., Stefani, A. D., & Risio, L. D. (2015) · Journal of Small Animal Practice · doi:10.1111/jsap.12326 · Cited by 8

INCREMENTAL DEVELOPMENT OF FAULT PREDICTION MODELS

Jiang, Y., Čukić, B., Menzies, T., & Lin, J. (2013) · International Journal of Software Engineering and Knowledge Engineering · doi:10.1142/s0218194013500447 · Cited by 8

ARIEX: Automated ranking of information extractors

Jiménez, P., Corchuelo, R., & Sleiman, H. A. (2015) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.11.004 · Cited by 8

Optimal solar radiation sensor network design using spatial and geostatistical analyses

Teegavarapu, R. S. V., Pathak, C. S., Mecikalski, J. R., & Srikishen, J. (2015) · Journal of Spatial Science · doi:10.1080/14498596.2015.1051147 · Cited by 8

An empirical look at the nature index

Bornmann, L., & Haunschild, R. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23682 · Cited by 8

Differentiating Cancer From Normal Protein-Protein Interactions Through Network Analysis

Sahoo, R., Rani, T. S., & Bhavani, S. D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804203-8.00017-1 · Cited by 8

Fast no-reference image sharpness measure for blurred images in discrete cosine transform domain

De, K., & Masilamani, V. (2016) · IEEE Students’ Technology Symposium · doi:10.1109/techsym.2016.7872692 · Cited by 8

NO-REFERENCE IMAGE QUALITY MEASURE FOR IMAGES WITH MULTIPLE DISTORTIONS USING RANDOM FORESTS FOR MULTI METHOD FUSION

De, K., & Masilamani, V. (2018) · Image Analysis & Stereology · doi:10.5566/ias.1534 · Cited by 8

The Influence of Field Trip on Junior High School Students’ Naturalistic Intelligence and Problem-Solving Skill in Ecosystem Subject

Adisendjaja, Y. H., Abdi, M. M. K., Amprasto, A., & Fardhani, I. (2019) · Jurnal Pendidikan IPA Indonesia · doi:10.15294/jpii.v8i3.19532 · Cited by 8

Incremental one-class classifier based on convex–concave hull

Hamidzadeh, J., & Moradi, M. (2020) · Pattern Analysis and Applications · doi:10.1007/s10044-020-00876-7 · Cited by 8

An Evolutionary ILS-Perturbation Technique

Lozano, M., & García‐Martínez, C. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88439-2_1 · Cited by 8

Fault tolerance of information processing in gene networks

Emmert‐Streib, F., & Dehmer, M. (2008) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2008.10.032 · Cited by 8

Parallel Distributed Two-Level Evolutionary Multiobjective Methodology for Granularity Learning and Membership Functions Tuning in Linguistic Fuzzy Systems

Vega, M. A. D., Bardallo, J. M., Márquez, F. A., & Peregrín, A. (2009) · International Conference on Intelligent Systems Design and Applications (ISDA) · doi:10.1109/isda.2009.225 · Cited by 8

The COVID-19 Pandemic Mental Health Questionnaire (CoPaQ): Psychometric Evaluation and Compliance with Countermeasures in Psychiatric Inpatients and Non-clinical IndividualsPreprint

Rek, S. V., Bühner, M., Reinhard, M. A., Freeman, D. H., Keeser, D., Adorjan, K., Falkai, P., & Padberg, F. (2021) · Research Square · doi:10.21203/rs.3.rs-403892/v1 · Cited by 8

Statistical experiment design for animal researchPreprint

Sorzano, C. Ó. S. (2023) · doi:10.31219/osf.io/e9s25 · Cited by 9

Cutting—Edge Soft Computing Technologies for Rock Mass Excavatability: Transforming Prediction with Hybrid GA—MLP and GEP—Based Criteria

Huang, S., & Zhou, J. (2025) · Rock Mechanics and Rock Engineering · doi:10.1007/s00603-025-04760-w · Cited by 9

Molecular activity prediction by means of supervised subspace projection based ensembles of classifiers

García, G. C., García‐Pedrajas, N., Ruiz, I. L., & Gómez‐Nieto, M. Á. (2018) · SAR and QSAR in environmental research · doi:10.1080/1062936x.2017.1423376 · Cited by 7

Descriptive Statistics and Visualization with R

Paquot, M., & Larsson, T. (2020) · Springer eBooks · doi:10.1007/978-3-030-46216-1_17 · Cited by 7

ESMOTE: an overproduce-and-choose synthetic examples generation strategy based on evolutionary computation

Zhang, Z.-L., Peng, R.-R., Ruan, Y.-P., Wu, J., & Luo, X. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-08004-8 · Cited by 7

A novel multi-criteria decision analysis technique incorporating demanding essential characteristics of existing MCDA techniques

Bandyopadhyay, S. (2023) · Progress in Artificial Intelligence · doi:10.1007/s13748-023-00299-5 · Cited by 7

Break it down: comparing the effects of lecture- and module-style design for additive manufacturing educational interventions on student designers’ learning and creativity

Prabhu, R., Simpson, T. W., Miller, S. R., & Meisel, N. A. (2023) · International Journal of Design Creativity and Innovation · doi:10.1080/21650349.2023.2241049 · Cited by 9

Diagnostic accuracy of a simple qualitative ultrasound assessment for the diagnosis of high-risk gastric contents in the parturient. A prospective observational cohort study

Bouvet, L., Favre, A., Riso, A., Fabre, J., Zieleskiewicz, L., Desgranges, F., & CHASSARD, D. (2024) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2024.111404 · Cited by 7

EZ-CDM: Fast, simple, robust, and accurate estimation of circular diffusion model parameters

Qarehdaghi, H., & Rad, J. A. (2024) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02483-7 · Cited by 8

ASSESSMENT OF STUDENTS’ COGNITIVE–AFFECTIVE STATES IN LEARNING WITHIN A COMPUTER-BASED ENVIRONMENT: EFFECTS ON PERFORMANCE

Wang, R., Ryu, H. B., & Katuk, N. (2015) · Journal of Information and Communication Technology · doi:10.32890/jict2015.14.0.8161 · Cited by 7

CHECKING ORTHOGONAL TRANSFORMATIONS AND GENETIC ALGORITHMS FOR SELECTION OF FUZZY RULES BASED ON INTERPRETABILITY-ACCURACY CONCEPTS

Rey, M., Galende, M., Fuente, M. J., & Sainz-Palmero, G. I. (2012) · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488512400193 · Cited by 7

Strategies to Combat Mycosphaerella Leaf Disease in Eucalyptus globulus Plantations in Northern Spain

Pérez, S., Estébanez, C. J. R., Ortiz, A., Ortiz, F., & Tejedor, C. (2016) · Forests · doi:10.3390/f7090190 · Cited by 7

Climate Variability and Changes in Precipitation Extremes and Characteristics

Teegavarapu, R. S. V. (2016) · Springer eBooks · doi:10.1007/978-981-10-2051-3_1 · Cited by 7

Image and Video Noise: An Industry Perspective

Perry, S. W. (2018) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-319-96029-6_8 · Cited by 7

Compact memetic algorithm-based process model matching

Xue, X. (2018) · Soft Computing · doi:10.1007/s00500-018-03672-y · Cited by 7

Contrast-distorted image quality assessment based on curvelet domain features

Ahmed, I. T., Der, C. S., Hammad, B. T., & Jamil, N. (2021) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v11i3.pp2595-2603 · Cited by 7

Learning to predict the quality of distorted-then-compressed images via a deep neural network

Li, B., Tian, M., Zhang, W., Yao, H., & Wang, X. (2020) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2020.103004 · Cited by 8

Socioeconomic Risk Factors for Hospital-based Neonatal Death: A Population-based Study

Ibrahim, A. S., Salama, H., Al-Obiedly, S., Al-Rifai, H., & AlQubaisi, M. (2021) · doi:10.36502/2020/asjpch.6161 · Cited by 7

Composición y estructura de los bosques de albardón del delta frontal del río Paraná, Argentina

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Silent science: a mixed-methods analysis of faculty engagement in science communication

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