Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

“…Future studies incorporating higher dimensional brain imaging/phenotype features, and/or using more advanced machine and deep learning methods may yield more encouraging prospects.…”
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Effect of carbides on the corrosion resistance of industrial corrosion resistant alloys by Muhammad Redzuan.

“…The amount of chromium carbides precipitated was evaluated using microscopic examination and point count method. The specimens were subjected to ASTM A262 Practice B for corrosion rate quantification. …”
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Evaluating the socio-environmental impacts of monoculture cashew expansion in the Northern Western Ghats, India by Anushka Rege

“…Lastly, I compared bird diversity across cashew plantations, privately owned forests and government-controlled forests, using both acoustic methods and point count methods. I further examined how landscape-level covariates influenced the bird species richness and abundances. …”
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Automatic paddy planthopper detection and counting using faster R-CNN by Khairunniza-Bejo, Siti, Ibrahim, Mohd Firdaus, Hanafi, Marsyita, Jahari, Mahirah, Ahmad Saad, Fathinul Syahir, Mhd Bookeri, Mohammad Aufa

“…Most of the available automated counting methods are limited to populations of a small density and often do not consider those with a high density, which require more complex solutions due to overlapping objects. …”
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Deep reinforcement learning for optimal resource allocation by Ng, Steffi Si Yu

“…In addition, this project will practice parameter tuning methods on the algorithm to obtain a parameter set that can achieve the most optimal result.…”
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Night vision with unmanned surface vehicle (USV) by Ang, Claryl Hui Ern

“…Besides that, this research also involves sourcing code on a deep learning method for transferring night-time images to daytime images. …”
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Placing objects in context via inpainting for out-of-distribution segmentation by De Jorge, P, Volpi, R, Dokania, PK, Torr, PHS, Rogez, G

“…In our experiments, we present different anomaly segmentation datasets based on POC-generated data and show that POC can improve the performance of recent state-of-the-art anomaly fine-tuning methods across several standardized benchmarks. …”

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling by Han, Xu, Kim, Jung-jae, Kwoh, Chee Keong

“…We also apply our active learning method for the task of named entity recognition. …”
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Query cost estimation in DBMS with deep learning by Acharya, Atul

“…Our experiments showed that the TreeGBM was ∼120 times faster than state-of-the-art learned methods while maintaining good prediction scores. …”
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Comparison of character recognition performance - bayes classifier and neural network methods by Low, Siew Eng.

“…In this project, two learning schemes had been tested and verified, in the recognition unit within the image processing environment of the Machine Vision Tool, namely the Bayes classifier method and the neural network-error back propagation gradient descent learning method. Their performances were analysed and compared. …”
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Building student preparedness and confidence: Insights from the global classroom mock job interview by Hanisah, Kasbon, Azimah, Ahmad Zaki, Farah Liyana, Ahmad A'azmey

“…Yet, a merely traditional formal learning method can be uninteresting, thus a more effective learning experience can be introduced including international collaborative approach. …”
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Factor modeling for clustering high-dimensional time series by Zhang, Bo, Pan, Guangming, Yao, Qiwei, Zhou, Wang

“…We propose a new unsupervised learning method for clustering a large number of time series based on a latent factor structure. …”
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Value investing with machine learning: the South American market by Chen, Ye

“…The primary machine learning method employed in this study is LSTM (Long Short-Term Memory), which performs well with time series data such as financial data of companies. …”
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An artificial sensory neuron with tactile perceptual learning by Wan, Changjin, Chen, Geng, Fu, Yangming, Wang, Ming, Matsuhisa, Naoji, Pan, Shaowu, Pan, Liang, Yang, Hui, Wan, Qing, Zhu, Liqiang, Chen, Xiaodong

“…Furthermore, the recognition error rate can be dramatically decreased from 44% to 0.4% by integrating with the machine learning method. This work represents a step toward the design and use of neuromorphic electronic skin with artificial intelligence for robotics and prosthetics.…”
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Doing time : inducing temporal graphs by Bramsen, Philip James

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The study of Rashomon effects on machine learning : a case study on breast cancer by Wee, Yu Hui

“…This theory has been translated into a popular machine learning method: Random Forests which uses bootstrapping (bagging) algorithms to create a set of uncorrelated decision trees that together make the decision (prediction) of the final result. …”
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Health monitoring of induction motor with impedance analysis and artificial intelligence by Lee, Kai Quan

“…The proposed technique for detecting stator winding faults in induction motors discussed in this study is a non-intrusive Machine Learning method. The early stages of any stator winding faults can be detected by using frequency and impedance magnitude data as my main parameters. …”
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Learning Bregman distance functions for semi-supervised clustering by Wu, Lei., Hoi, Steven C. H., Jin, Rong., Zhu, Jianke., Yu, Nenghai.

“…We verify the efficacy of the proposed distance learning method with extensive experiments on semi-supervised clustering. …”
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Layer-wise learning framework for deep networks by Yu, Haoyao

“…The case examples demonstrate a rational compromise regarding layer-wise trainability and precision while validating the applicability of the proposed layer-wise learning method to determine the optimal number of layers for real-world scenarios.…”
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Design of interactive multimedia courseware in data structures & algorithms - IV by Melly

“…Online learning has also become a more popular platform than the traditional classroom learning method. Data Structures and Algorithms as one of the key foundations that one should possess before developing software applications or getting in programming related field, is incorporated in this project as an E-Learning courseware. …”
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