AXES at TRECVID 2012: KIS, INS, and MED by Aly, R, Mcguinness, K, Chen, S, O'Conner, NE, Chatfield, K, Parkhi, OM, Arandjelović, R, Zisserman, A, Fernando, B, Tuytelaars, T, Oneata, D, Douze, M, Revaud, J, Schwenninger, J, Potapov, D, Wang, H, Harchaoui, Z, Verbeek, J, Schmid, C

“…This paper describes in detail our KIS, INS, and MED systems and the results and findings of our experiments.…”

medTrack : a medication and appointment adherence system by Tan, Felice Yu Ting

“…Building on the Amazon Echo Show, medTrack (a medication and appointment adherence system) aims to tackle on this issue through reminding the patient of their medication and appointment schedule at the designated time. …”
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Hand-held devices for generating force/torque perturbations by Wong, Yoke Cung.

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Management challenges of closely held Chinese family businesses in Singapore. by Chua, Wei Teck., Lim, Grace Sze Chyi., Loh, Jia Hui.

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PubMed text data mining automation for biological validation on lists of genes and pathways by Nies, Hui Wen, Zakaria, Zalmiyah, Chan, Weng Howe, Kamsani, Izyan Izzati, Hasan, Nor Shahida

“…Unfortunately, querying relevant text to excavate important information is a challenging task. PubMed text data mining is one of the applications that help explore potential cancer markers as the trend of scientific articles in PubMed is steadily increased. …”
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Neuroimaging meta regression for coordinate based meta analysis data with a spatial model by Yu, Y, Pintos Lobo, R, Riedel, MC, Bottenhorn, K, Laird, AR, Nichols, T

“…Coordinate-based meta-analysis combines evidence from a collection of neuroimaging studies to estimate brain activation. …”

An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

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Control-oriented meta-learning by Richards, Spencer M., Azizan, Navid, Slotine, Jean-Jacques, Pavone, Marco

“…Specifically, we meta-learn the adaptive controller with closed-loop tracking simulation as the base-learner and the average tracking error as the meta-objective. …”
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Meta-Learning Frameworks for Imaging Applications / by Sharma, Ashok, 1977-, editor 319639, Sengar, Sandeep Singh, 1985-, editor 656390, Singh, Parveen, 1976-, editor 656391, IGI Global Scientific Publishing (Online service) 655412

“…Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. …”
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Meta-reinforcement learning in quantitative trading by Wong, Wei Jie

“…One technique used together with reinforcement learning to train an agent to adapt to new variations of tasks is deep meta-reinforcement learning (Meta-RL) (Wang, et al., 2017). …”
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Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement by Elhakim, Tarig, Mansur, Arian, Kondo, Jordan, Omar, Omar M. F., Ahmed, Khalid, Tabari, Azadeh, Brea, Allison, Ndakwah, Gabriel, Iqbal, Shams, Allegretti, Andrew S., Fintelmann, Florian J., Wehrenberg-Klee, Eric, Bridge, Christopher, Daye, Dania

“…Multivariable logistic regression showed that SMA (OR = 0.97, p < 0.01), SMI (OR = 0.94, p = 0.03), SFA (OR = 0.99, p = 0.01), and VFA (OR = 0.99, p = 0.02) remained significant predictors of 90-day mortality when adjusted for MELD score. ROC curve analysis demonstrated that including SMA, SFA, and VFA improves the predictive power of MELD score in predicting 90-day mortality after TIPS (AUC, 0.84; 95% CI: 0.77, 0.91; p = 0.02). …”
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Ultrasensitive LSPR meta-devices for biochemical sensing by Wu, Ruhua

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A review of reporting quality in case-control studies of pancreatic cancer by MacCarthy, A, MacCarthy, A, Dhiman, P, Dhiman, P, Kirtley, S, Kirtley, S, Logullo, P, Logullo, P, Copsey, B, Copsey, B, Collins, G, Collins, G

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Meta-analysis of antecedents of information technology (IT) professionals turnover. by Kua, Shimin., Kong, Kua., Quek.

“…Information Technology (IT) Professionals, Meta-analysis, Antecedents of turnover, Relationship to turnover, Role factors, Career factors, Work factors, Job factors, Demographic factors, Organizational Commitment…”
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Financial forecasting using meta-cognitive fuzzy neural networks by Singh Akhand Pratap

“…The project tried to design a system to make investment decisions in the Stock Market using Type-2 Meta-Cognitive Fuzzy Neural Networks. Unlike simple learning mechanisms, meta-cognition attempts a selective learning approach. …”
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Meta-cognitive learning algorithm for neuro-fuzzy inference systems by Kartick Subramanian

“…Similar to Nelson and Narens model of meta-cognition, McFIS consists of a cognitive and a meta-cognitive component. …”
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On the dynamic performance of additively manufactured visco-elastic meta-materials by Le Barbenchon, L, Lißner, M

“…By combining the advantages of AM and EPU, enhanced and customized meta-materials can be created, surpassing the mechanical performance of traditional bulk materials. …”

Captions from Book Marks, a display held in Blackwell Hall, Weston Library, 24 August - 15 December 2024 by Honey, A, Evans, A, Fox, A

A hybrid meta-heuristic approach for buffer allocation in remanufacturing environment / by Vahid Abbasgholi Pourghadim, 1981- 600015, Noordin Mohd. Yusof, supervisor 238361, Wong, Kuan Yew, supervisor 185071, Fakulti Kejuruteraan Mekanikal 8081

Predicting traffic congestion evolution : a deep meta learning approach by Sun, Yidan, Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan

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