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Machine learning: Algorithms, real-world applications and research directions

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Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases

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A Comprehensive Survey of Clustering Algorithms

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AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems

Sarker, I. H. (2022) · SN Computer Science · doi:10.1007/s42979-022-01043-x · Cited by 1,208

A sparse texture representation using local affine regions

Lazebnik, S., Schmid, C., & Ponce, J. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.151 · Cited by 1,123

One in two cancer patients is significantly distressed: Prevalence and indicators of distress

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The role of biodiversity for element cycling and trophic interactions: an experimental approach in a grassland community

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Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective

Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00765-8 · Cited by 570

The Human Nasal Microbiota and Staphylococcus aureus Carriage

Frank, D. N., Feazel, L. M., Bessesen, M. T., Price, C. S., Janoff, E. N., & Pace, N. R. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010598 · Cited by 422

Slicing: A New Approach for Privacy Preserving Data Publishing

Li, T., Li, N., Zhang, J., & Molloy, I. (2012) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2010.236 · Cited by 312

Manifold Discriminant Analysis

Wang, R., & Chen, X. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206850 · Cited by 285

ClustOfVar: An R Package for the Clustering of Variables

Chavent, M., Kuentz-Simonet, V., Liquet, B., & Saracco, J. (2012) · Journal of Statistical Software · doi:10.18637/jss.v050.i13 · Cited by 273

Data scientists in software teams: State of the art and challenges

Kim, M., Zimmermann, T., DeLine, R., & Begel, A. (2018) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2017.2754374 · Cited by 199

TRDB--The Tandem Repeats Database

Gelfand, Y., Rodriguez, A., & Benson, G. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkl1013 · Cited by 159

Intelligent system for lighting control in smart cities

De Paz, J. F., Bajo, J., Rodríguez, S., Villarrubia, G., & Corchado, J. M. (2016) · Information Sciences · doi:10.1016/j.ins.2016.08.045 · Cited by 146

Automobile insurance classification ratemaking based on telematics driving data

Huang, Y., & Meng, S. (2019) · Decision Support Systems · doi:10.1016/j.dss.2019.113156 · Cited by 119

A typology of user liability to IT addiction

Vaghefi, I., Lapointe, L., & Boudreau‐Pinsonneault, C. (2017) · Information Systems Journal · doi:10.1111/isj.12098 · Cited by 92

Structured sampling of olfactory input by the fly mushroom body

Zheng, Z., Li, F., Fisher, C., Ali, I. J., Sharifi, N., Calle-Schuler, S., Hsu, J., Masoodpanah, N., Kmecova, L., Kazimiers, T., et al. (2022) · Current Biology · doi:10.1016/j.cub.2022.06.031 · Cited by 75

ClockstaR: choosing the number of relaxed-clock models in molecular phylogenetic analysis

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Variability in vegetation and surface fuels across mixed-conifer-dominated landscapes with over 40 years of natural fire

Collins, B. M., Lydersen, J. M., Fry, D. L., Wilkin, K., Moody, T., & Stephens, S. L. (2016) · Forest Ecology and Management · doi:10.1016/j.foreco.2016.09.010 · Cited by 60

The Influence of the Task on Programmer Behaviour

Ying, A. T. T., & Robillard, M. P. (2011) · 2011 IEEE 19th International Conference on Program Comprehension · doi:10.1109/icpc.2011.35 · Cited by 41

Identification of different user types for designing household food waste interventions

Coskun, A. (2021) · International Journal of Sustainable Engineering · doi:10.1080/19397038.2021.1886372 · Cited by 24

Everyone Talks Everything With ChatGPT: Students' Uses of ChatGPT and Their Impact on Learning Performance

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