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Inferring Network Structures via Signal Lasso
Inferring the connectivity structure of networked systems from data is a...
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A Design Process of Visual Analytics Applications using Conceptual Graph
State-of-the-art visual analytics techniques in application domains are ...
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AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
Existing methods for skeleton-based action recognition mainly focus on i...
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Session-layer Attack Traffic Classification by Program Synthesis
Writing classification rules to identify malicious network traffic is a ...
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Fast algorithms for robust principal component analysis with an upper bound on the rank
The robust principal component analysis (RPCA) decomposes a data matrix ...
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Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities
While Massive Open Online Course (MOOCs) platforms provide knowledge in ...
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Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students
Massive Open Online Courses (MOOCs) exhibit a remarkable heterogeneity o...
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Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study
Gamification design has benefited from data-driven approaches to creatin...
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Analysing gamification elements in educational environments using an existing Gamification taxonomy
Gamification has been widely employed in the educational domain over the...
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Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach
Millions of people have enrolled and enrol (especially in the Covid-19 p...
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Social Engagement versus Learning Engagement – An Exploratory Study of FutureLearn Learners
Massive Open Online Courses (MOOCs) continue to see increasing enrolment...
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Exploring Navigation Styles in a FutureLearn MOOC
This paper presents for the first time a detailed analysis of fine-grain...
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Social Interactions Clustering MOOC Students: An Exploratory Study
An exploratory study on social interactions of MOOC students in FutureLe...
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Measure the Impact of Institution and Paper via Institution-citation Network
This paper investigates the impact of institutes and papers over time ba...
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Contrastive Visual-Linguistic Pretraining
Several multi-modality representation learning approaches such as LXMERT...
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Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
Dynamic skeletal data, represented as the 2D/3D coordinates of human joi...
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Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces
In this paper, we study the asymptotical properties of least squares reg...
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SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition
In this paper, a new perspective is presented for skeleton-based action ...
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Mobility Inference on Long-Tailed Sparse Trajectory
Analyzing the urban trajectory in cities has become an important topic i...
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Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Graph convolutional networks (GCNs), which generalize CNNs to more gener...
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Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision
Pose-based action recognition has drawn considerable attention recently....
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What Are You Looking at? Detecting Human Intention in Gaze based Human-Robot Interaction
In gaze based Human-Robot Interaction (HRI), it is important to determin...
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A study of multivalent q-starlike functions connected with circular domain
In the present article, our aim is to examine some useful problems inclu...
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Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation
Rapidly estimating the remaining wall thickness (RWT) is paramount for t...
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Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study
Gamification frameworks can aid in gamification planning for education. ...
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Fine-Grained Named Entity Recognition using ELMo and Wikidata
Fine-grained Named Entity Recognition is a task whereby we detect and cl...
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MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
The prevalence of networked sensors and actuators in many real-world sys...
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Realizing data features by deep nets
This paper considers the power of deep neural networks (deep nets for sh...
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Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions
Hyper-kernels endowed by hyper-Reproducing Kernel Hilbert Space (hyper-R...
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Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis
Airdrops are a popular method of distributing cryptocurrencies and token...
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Adaptive Spectral Graph Convolutional Networks for Skeleton-Based Action Recognition
Traditional deep methods for skeleton-based action recognition usually s...
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Fast and Strong Convergence of Online Learning Algorithms
In this paper, we study the online learning algorithm without explicit r...
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Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network
Distributed learning is an effective way to analyze big data. In distrib...
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Real-time 3D Human Tracking for Mobile Robots with Multisensors
Acquiring the accurate 3-D position of a target person around a robot pr...
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Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction
When a measurement falls outside the quantization or measurable range, i...
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A Novel Artificial Fish Swarm Algorithm for Pattern Recognition with Convex Optimization
Image pattern recognition is an important area in digital image processi...
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Functional Hashing for Compressing Neural Networks
As the complexity of deep neural networks (DNNs) trend to grow to absorb...
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Place classification with a graph regularized deep neural network model
Place classification is a fundamental ability that a robot should posses...
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Pinball Loss Minimization for One-bit Compressive Sensing
The one-bit quantization can be implemented by one single comparator, wh...
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