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Critical steps in an environmental metaproteomics workflow
- Nebauer, Daniel J., Pearson, Leanne A., Neilan, Brett A.
Evaluating teachers’ effectiveness in classrooms: an ML-based assessment portfolio
- Sabharwal, Renu, Miah, Shah J.
Application of inclined channels in the hydrodynamic classification of minerals by particle size
- Starrett, J. B., Galvin, K. P.
Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review
- Alalawi, Khalid, Athauda, Rukshan, Chiong, Raymond
- Al-Gheethi, Adel Ali, Alagamalai, Rubashini A., Noman, Efaq Ali, Saphira Radin Mohamed, Radin Maya, Naidu, Ravi
- Shaukat, Kamran, Luo, Suhuai, Varadharajan, Vijay
Accelerating Code Search with Deep Hashing and Code Classification
- Gu, Wenchao, Wang, Yanlin, Du, Lun, Zhang, Hongyu, Han, Shi, Zhang, Dongmei, Lyu, Michael R.
International Consensus Recommendations for Eosinophilic Gastrointestinal Disease Nomenclature
- Dellon, Evan S., Gonsalves, Nirmala, Blanchard, Carine, Bonis, Peter A., Bose, Paroma, Bredenoord, Albert J., Chang, Joy W., Chehade, Mirna, Collins, Margaret H., Di Lorenzo, Carlo, Dias, Jorge Amil, Dohil, Ranjan, Abonia, J. Pablo, Dupont, Christophe, Falk, GW, Ferreira, CT, Fox, AT, Genta, RM, Greuter, T, Gupta, SK, Hirano, I, Hiremath, GS, Horsley-Silva, JL, Alexander, Jeffrey A., Ishihara, S, Ishimura, N, Jensen, ET, Gutiérrez-Junquera, C, Katzka, DA, Khoury, P, Kinoshita, Y, Kliewer, KL, Koletzko, S, Leung, J, Arva, Nicoleta C., Liacouras, CA, Lucendo, AJ, Martin, LJ, McGowan, EC, Menard-Katcher, C, Metz, DC, Miller, TL, Moawad, FJ, Muir, AB, Mukkada, VA, Atkins, Dan, Murch, S, Nhu, QM, Nomura, I, Nurko, S, Ohtsuka, Y, Oliva, S, Orel, R, Papadopoulou, A, Patel, DA, Pesek, RD, Attwood, Stephen E., Peterson, KA, Philpott, H, Putnam, PE, Richter, JE, Rosen, R, Ruffner, MA, Safroneeva, E, Schreiner, P, Schoepfer, A, Schroeder, SR, Auth, Marcus K. H., Shah, N, Souza, RF, Spechler, SJ, Spergel, JM, Straumann, A, Talley, Nicholas J., Thapar, N, Vandenplas, Y, Venkatesh, RD, Vieira, MC, Bailey, Dominique D., von Arnim, U, Walker, Marjorie M., Wechsler, JB, Wershil, BK, Wright, BL, Yamada, Y, Yang, G-Y, Zevit, N, Rothenberg, ME, Furuta, GT, Biederman, Luc, Aceves, SS
New challenges for gravity concentration and classification of fine particles
- Galvin, K. P., Iveson, S. M.
Predicting Deflagration and Detonation in Detonation Tube
- Namazi, Samira, Brankovic, Ljiljana, Moghtaderi, Behdad, Zanganeh, Jafar
The Wagiman Landscape: Mental Maps and Prototypes
An analysis of Blessed Friday sale at a retail store using classification models
- Shaukat, Kamran, Luo, Suhuai, Abbas, Nadir, Mahboob Alam, Talha, Ehtesham Tahir, Muhammad, Hameed, Ibrahim A.
Automatic recognition of specific local cortical folding patterns
- Borne, Léonie, Riviére, Denis, Cachia, Arnaud, Roca, Pauline, Mellerio, Charles, Oppenheim, Catherine, Mangin, Jean-François
Early Detection of Under-Performing Students Using Machine Learning Algorithms
- Alalawi, Khalid, Chiong, Raymond, Athauda, Rukshan
- Guilbault, Emy, Renner, Ian, Mahony, Michael, Beh, Eric
Integration of hard and soft supervised machine learning for flood susceptibility mapping
- Andaryani, Soghra, Nourani, Vahid, Haghighi, Ali Torabi, Keesstra, Saskia
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
- Guo, Zizheng, Shi, Yu, Huang, Faming, Fan, Xuanmei, Huang, Jinsong
- Fahd, Kiran, Miah, Shah Jahan, Ahmed, Khandakar
Five strategies for accommodating overdispersion in correspondence analysis
- Beh, Eric J., Lombardo, Rosaria
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