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Chapter and Conference Paper
Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss
Face expression recognition is an important task whose aim is to classify a face image to a kind of expression such as happy, sad, or surprise, etc. This task is challenging due to the ambiguities in expressio...
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Chapter and Conference Paper
Incremental Recommendation Algorithm Based on the Influence Propagation Model
Recently, Graph based recommendation algorithms have gained more and more attention due to their flexible and unified embedding representation of both users and items as well as the effective modeling of conte...
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Chapter and Conference Paper
Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network
Previous studies have shown that neurodegenerative diseases, specifically Alzheimer’s disease (AD), primarily affect brain network function due to neuropathological burdens that spread throughout the network, ...
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Chapter and Conference Paper
Multimodal Approaches for Alzheimer’s Detection Using Patients’ Speech and Transcript
Alzheimer’s disease (AD) is a common form of dementia that severely impacts patient health. As AD impairs the patient’s language understanding and expression ability, the speech of AD patients can serve as an ...
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Chapter and Conference Paper
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition
The functional neural imaging technology sheds new light on characterizing the neural activity at each brain region and the information exchange from region to region. However, it is challenging to reverse-eng...
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Chapter
A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery
Although numerous deep neural networks have been explored for aircraft detection using synthetic aperture radar (SAR) imagery, limited work has been conducted with their performance comparison, since different...
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Chapter and Conference Paper
Mouse Dynamics Based Bot Detection Using Sequence Learning
The abuse of web bots poses a great threat to daily life. There are lots of methods proposed to detect web bots. However, these web detection methods focus on specific application tasks such as chat bot, game ...
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Chapter and Conference Paper
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold
Functional resonance magnetic imaging (fMRI) technology has been widely used in understanding cognition and behavior by characterizing the functional interaction between distant brain regions. Since the networ...
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Chapter and Conference Paper
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training
The deep neural network achieves superior performance in various tasks. However, it is notoriously known that its training needs a considerable time cost to refine a large number of parameters. We proposed a d...
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Chapter and Conference Paper
Discovering Spreading Pathways of Neuropathological Events in Alzheimer’s Disease Using Harmonic Wavelets
A plethora of neuroscience studies show that neurodegenerative diseases such as Alzheimer’s disease (AD) manifest network dysfunction much earlier before the onset of clinical symptoms, where neuropathological...
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Chapter and Conference Paper
Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering
Multi-view graph-based clustering aims to partition samples via fusing similarity graphs from different views into a unified graph. The clustering performance relies on the accuracy of similarity measurement. ...
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Chapter
Anwendungsorientierung in der Hochschulbildung als Zukunfts- und Erfolgsmodell
„Mehr Anwendungsorientierung“ sowie „höherer gesellschaftlicher Nutzen“ lauten zwei zentrale hochschulpolitische Entwicklungslinien zur weiteren Ausdifferenzierung und Profilbildung der Wissenschaftssysteme in...
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Chapter
Neues Konzept, Gesamtprozess, Integration
Um die Jahrhundertwende wurden in China zahleiche Bachelor-Hochschulen neu gegründet. Um sich den Herausforderungen der wirtschaftlichen und gesellschaftlichen Entwicklung sowie der eigenen Entwicklung zu stel...
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Chapter and Conference Paper
Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold
Network neuroscience has been widely studied in understanding brain functions as well as the neurobiological underpinnings of cognition and behavior that are related to the development of neuro-disorders. Sinc...
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Chapter and Conference Paper
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention
Automatic nasopharyngeal carcinoma (NPC) segmentation in magnetic resonance (MR) images remains challenging since NPC is infiltrative and typically has a small or even tiny volume, making it indiscernible from...
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Chapter and Conference Paper
A Deep Learning Approach to Web Bot Detection Using Mouse Behavioral Biometrics
Web bots are automated scripts that perform online tasks like human. Abuse of bot technology poses various threats to the security of websites. Recently, mouse dynamics has been applied to bot detection by ana...
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Chapter and Conference Paper
Detecting Anomalous Ratings Using Matrix Factorization for Recommender Systems
Personalization recommendation techniques play a key role in the popular E-commerce services such as Amazon, TripAdvisor and etc. In practice, collaborative filtering recommender systems are highly vulnerable ...
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Chapter and Conference Paper
User Authentication Using Motion Sensor Data from Both Wearables and Smartphones
With the increasing popularity of wearable devices, it is common to use several smart devices simultaneously including smartphones. With embedded accelerometers and gyroscopes, the smart devices naturally cons...
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Chapter and Conference Paper
MDAGenera: An Efficient and Accurate Simulator for Multiple Displacement Amplification
The advance of single cell sequencing advocates a new era to delineate intratumor heterogeneity and traces the evolution of single cells at molecular level. However, current single cell technology is hindered ...
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Chapter and Conference Paper
Identifying Intrusion Infections via Probabilistic Inference on Bayesian Network
Identifying whether system objects are infected or not on a compromised system is a complex and error-prone task. Most existing solutions follow a traditional causal analysis method which tries to precisely co...
