A textual-based featuring approach for depression detection using machine learning classifiers and social media texts

- Chiong, Raymond, Budhi, Gregorius Satia, Dhakal, Sandeep, Chiong, Fabian

Accurate multiple sclerosis detection and prediction using advanced image processing and deep learning

- Afzal, Hafiz Muhammad Rehan

An Innovative framework to improve course and student outcomes

- Alalawi, Khalid, Athauda, Rukshan, Chiong, Raymond

Assessing anatomy education: A perspective from design.

- Roxburgh, Mark, Evans, Darrell J. R.

Automatic recognition of specific local cortical folding patterns

- Borne, Léonie, Riviére, Denis, Cachia, Arnaud, Roca, Pauline, Mellerio, Charles, Oppenheim, Catherine, Mangin, Jean-François

Beyond occam's razor in system identification: Double-descent when modeling dynamics

- Ribeiro, Antonio H., Hendriks, Johannes N., Wills, Adrian G., Schön, Thomas B.

Building a Systematic Online Living Evidence Summary of COVID-19 Research

- Hair, Kaitlyn, Sena, Emily S., Wilson, Emma, Currie, Gillian, Macleod, Malcolm, Bahor, Zsanett, Sena, Chris, Ayder, Can, Liao, Jing, Tanriver Ayder, Ezgi, Ghanawi, Joly, Tsang, Anthony, Collins, Anne, Carstairs, Alice, Antar, Sarah, Drax, Katie, Neves, Kleber, Ottavi, Thomas, Chow, Yoke Yue, Henry, David, Hood, Rebecca J.

Coverage prediction for accelerating compiler testing

- Chen, Junjie, Wang, Guancheng, Hao, Dan, Xiong, Yingfei, Zhang, Hongyu, Zhang, Lu, Xie, Bing

Development of a Machine-Learning-Based Classifier for the Identification of Head and Body Impacts in Elite Level Australian Rules Football Players

- Goodin, Peter, Gardner, Andrew J., Dokani, Nasim, Nizette, Ben, Ahmadizadeh, Saeed, Edwards, Suzi, Iverson, Grant L.

Early Detection of Under-Performing Students Using Machine Learning Algorithms

- Alalawi, Khalid, Chiong, Raymond, Athauda, Rukshan

Effects of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction

- Huang, Faming, Cao, Yu, Fan, Xuanmei, Li, Wenbin, Huang, Jinsong, Zhou, Chuangbing, Fan, Wenyan

Fast Outage Analysis of Large-Scale Production Clouds with Service Correlation Mining

- Wang, Yaohui, Li, Guozheng, Xu, Zhangwei, Zhao, Pu, Qiao, Bo, Li, Liqun, Zhang, Xu, Lin, Qingwei, Wang, Zijian, Kang, Yu, Zhou, Yangfan, Zhang, Hongyu, Gao, Feng, Sun, Jeffrey, Yang, Li, Lee, Pochian

How to make use of unlabeled observations in species distribution modeling using point process models

- Guilbault, Emy, Renner, Ian, Mahony, Michael, Beh, Eric

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

- De Brouwer, Edward, Becker, Thijs, Kappos, Ludwig, Sola, Patrizia, Cartechini, Elisabetta, Lechner-Scott, Jeannette, Alroughani, Raed, Gerlach, Oliver, Kalincik, Tomas, Granella, Franco, Grand'Maison, Francois, Bergamaschi, Roberto, Moreau, Yves, José Sá, M, Van Wijmeersch, B, Soysal, A, Sanchez-Menoyo, JL, Solaro, C, Boz, C, Iuliano, G, Buzzard, K, Aguera-Morales, E, Terzi, M, Havrdova, Eva Kubala, Trivio, TC, Spitaleri, D, Van Pesch, V, Shaygannejad, V, Moore, F, Oreja-Guevara, C, Maimone, D, Gouider, R, Csepany, T, Ramo-Tello, C, Trojano, Maria, Peeters, L, Eichau, Sara, Ozakbas, Serkan, Onofrj, Marco, Grammond, Pierre, Kuhle, Jens

Machine learning and mixture clustering methods for molecular drug discovery: prediction and characterisation of drugs and druggable targets

- Shafi, Shanjeeda

MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes

- Bretzner, Martin, Bonkhoff, Anna K., Marinescu, Razvan, Wang, Clinton, Regenhardt, Robert W., Leclerc, Xavier, Lopes, Renaud, Benavente, Oscar R., Cole, John W., Donatti, Amanda, Griessenauer, Christoph J., Heitsch, Laura, Schirmer, Markus D., Levi, Christopher R., Jood, K, Jimenez-Conde, J, Kittner, SJ, Lemmens, R, Levi, CR, McArdle, PF, McDonough, CW, Meschia, JF, Phuah, C-L, Hong, Sungmin, Rolfs, A, Ropele, S, Rosand, J, Roquer, J, Rundek, T, Sacco, RL, Schmidt, R, Sharma, P, Slowik, A, Sousa, A, Dalca, Adrian V., Stanne, TM, Strbian, D, Tatlisumak, T, Thijs, V, Vagal, A, Wasselius, J, Woo, D, Wu, O, Zand, R, Worrall, BB, Donahue, Kathleen L., Maguire, JM, Lindgren, A, Jern, C, Golland, P, Kuchcinski, G, Rost, NS, Giese, Anne-Katrin, Etherton, Mark R., Rist, Pamela M., Nardin, Marco

Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study

- Sudarshan, Vidya K., Brabrand, Mikkel, Range, Troels Martin, Wiil, Uffe Kock

Predicting building-related carbon emissions: a test of machine learning models

- Boateng, Emmanuel B., Twumasi, Emmanuella A., Darko, Amos, Tetteh, Mershack O., Chan, Albert P. C.

Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach

- Sutter, Ben, Chiong, Raymond, Budhi, Gregorius Satia, Dhakal, Sandeep

Predicting student performance in a blended learning environment using learning management system interaction data

- Fahd, Kiran, Miah, Shah Jahan, Ahmed, Khandakar