Search Results - "Wang, Jane"

Image Fusion With Convolutional Sparse Representation by Liu, Yu, Chen, Xun, Ward, Rabab K., Jane Wang, Z.

“…As a popular signal modeling technique, sparse representation (SR) has achieved great success in image fusion over the last few years with a number of…”
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Reinforcement Learning, Fast and Slow by Botvinick, Matthew, Ritter, Sam, Wang, Jane X., Kurth-Nelson, Zeb, Blundell, Charles, Hassabis, Demis

“…Deep reinforcement learning (RL) methods have driven impressive advances in artificial intelligence in recent years, exceeding human performance in domains…”
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Meta-learning in natural and artificial intelligence by Wang, Jane X

“…•Multiple scales of learning (and hence meta-learning) are ubiquitous in nature.•Many existing lines of work in neuroscience and cognitive science touch upon…”
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FROM SPARSE TO DENSE FUNCTIONAL DATA AND BEYOND by Zhang, Xiaoke, Wang, Jane-Ling

“…Nonparametric estimation of mean and covariance functions is important in functional data analysis. We investigate the performance of local linear smoothers…”
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Prefrontal cortex as a meta-reinforcement learning system by Wang, Jane X., Kurth-Nelson, Zeb, Kumaran, Dharshan, Tirumala, Dhruva, Soyer, Hubert, Leibo, Joel Z., Hassabis, Demis, Botvinick, Matthew

“…Over the past 20 years, neuroscience research on reward-based learning has converged on a canonical model, under which the neurotransmitter dopamine ‘stamps…”
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Deep Reinforcement Learning and Its Neuroscientific Implications by Botvinick, Matthew, Wang, Jane X., Dabney, Will, Miller, Kevin J., Kurth-Nelson, Zeb

“…The emergence of powerful artificial intelligence (AI) is defining new research directions in neuroscience. To date, this research has focused largely on deep…”
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Expanding the Enzyme Universe: Accessing Non‐Natural Reactions by Mechanism‐Guided Directed Evolution by Renata, Hans, Wang, Z. Jane, Arnold, Frances H.

“…High selectivity and exquisite control over the outcome of reactions entice chemists to use biocatalysts in organic synthesis. However, many useful reactions…”
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A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson’s disease by Lee, Soojin, Hussein, Ramy, Ward, Rabab, Jane Wang, Z., McKeown, Martin J.

“…Parkinson’s disease (PD) is expected to become more common, particularly with an aging population. Diagnosis and monitoring of the disease typically rely on…”
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Deep learning for the partially linear Cox model by Zhong, Qixian, Mueller, Jonas, Wang, Jane-Ling

“…While deep learning approaches to survival data have demonstrated empirical success in applications, most of these methods are difficult to interpret and…”
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Mean and Covariance Estimation for Functional Snippets by Lin, Zhenhua, Wang, Jane-Ling

“…We consider estimation of mean and covariance functions of functional snippets, which are short segments of functions possibly observed irregularly on an…”
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Numerical method for quasi-static adhesive elastic contact subjected to tangential loading by Chen, Yin, Zhang, Mengqi, Jane Wang, Q.

“…•A three-dimensional numerical model of adhesive elastic contact based on the Boussinesq-Cerruti integral equations for elasticity and the Maugis-Dugdale model…”
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Functional Data Analysis by Wang, Jane-Ling, Chiou, Jeng-Min, Müller, Hans-Georg

“…With the advance of modern technology, more and more data are being recorded continuously during a time interval or intermittently at several discrete time…”
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Modified Toxicity Probability Interval Design: A Safer and More Reliable Method Than the 3 + 3 Design for Practical Phase I Trials by YUAN JI, WANG, Sue-Jane

“…The 3 + 3 design is the most common choice among clinicians for phase I dose-escalation oncology trials. In recent reviews, more than 95% of phase I trials…”
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Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review by Zou, Liang, Ge, Chang, Wang, Z Jane, Cretu, Edmond, Li, Xiaoou

“…During the last decades, smart tactile sensing systems based on different sensing techniques have been developed due to their high potential in industry and…”
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Novel Flexible Wearable Sensor Materials and Signal Processing for Vital Sign and Human Activity Monitoring by Servati, Amir, Zou, Liang, Wang, Z Jane, Ko, Frank, Servati, Peyman

“…Advances in flexible electronic materials and smart textile, along with broad availability of smart phones, cloud and wireless systems have empowered the…”
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Neural Networks for Partially Linear Quantile Regression by Zhong, Qixian, Wang, Jane-Ling

“…Deep learning has enjoyed tremendous success in a variety of applications but its application to quantile regression remains scarce. A major advantage of the…”
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A deep community based approach for large scale content based X-ray image retrieval by Haq, Nandinee Fariah, Moradi, Mehdi, Wang, Z. Jane

“…•Similar image retrieval techniques can be used in clinical decision support systems.•Deep community based large-scale retrieval framework is proposed for…”
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Mountaineers on Mount Everest: Effects of age, sex, experience, and crowding on rates of success and death by Huey, Raymond B, Carroll, Cody, Salisbury, Richard, Wang, Jane-Ling

“…Mount Everest is an extreme environment for humans. Nevertheless, hundreds of mountaineers attempt to summit Everest each year. In a previous study we analyzed…”
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Targeted enhancement of cortical-hippocampal brain networks and associative memory by Wang, Jane X., Rogers, Lynn M., Gross, Evan Z., Ryals, Anthony J., Dokucu, Mehmet E., Brandstatt, Kelly L., Hermiller, Molly S., Voss, Joel L.

“…The influential notion that the hippocampus supports associative memory by interacting with functionally distinct and distributed brain regions has not been…”
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Enhancing the Formation of Porous Potato Starch by Combining α‐Amylase or Glucoamylase Digestion with Acid Hydrolysis by Gonzalez, Ana, Wang, Ya‐Jane

“…Granular porous starch has been prepared from A‐type starch, but not from B‐type starch, due, in part, to the smooth, dense surface of B‐type starch. This…”
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