189 Result(s)
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Article
Tracking treatment effect heterogeneity in evolving environments
Heterogeneous treatment effect (HTE) estimation plays a crucial role in develo** personalized treatment plans across various applications. Conventional approaches assume that the observed data are independen...
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Article
Margin distribution and structural diversity guided ensemble pruning
Ensemble methods that train and combine multiple learners have always been among the state-of-the-art learning methods, and ensemble pruning aims at generating a smaller-sized ensemble with even better general...
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Article
Towards enabling learnware to handle heterogeneous feature spaces
The learnware paradigm was recently proposed by Zhou (2016) with the wish of develo** the learnware market to help users build models more efficiently by reusing existing well-performed models rather than start...
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Chapter and Conference Paper
Mining the Potential Temporal Features Based on Wearable EEG Signals for Driving State Analysis
Fatigue driving is considered to be one of the main factors causing traffic accidents, so fatigue driving detection technology has an important role in road safety. Currently, EEG-based detection is one of the...
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Chapter and Conference Paper
Stress Expression Identification Model for Emotion-Driven Association Calculation over Social Network Blogs
Emotion and stress expression are deeply intertwined. Analyzing blog data from social network platforms reveals that specific emotions often appear simultaneously with expressions indicating stress, and emotio...
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Article
Geometrically Preserved Dual Projections Learning for Multi-label Classification
Multi-label classification encounters great challenges in processing high dimensional input feature and output label spaces. In this paper, we propose a geometrically preserved dual projections learning of bot...
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Article
Dual projection learning with adaptive graph smoothing for multi-label classification
In multi-label learning, the high dimensions of both label and feature spaces pose great challenges to multi-label classification. In this paper, we propose dual projection learning with adaptive graph smoothi...
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Article
Heterogeneous dual network with feature consistency for domain adaptation person re-identification
To reduce the noisy pseudo-labels generated by clustering for unsupervised domain adaptation (UDA) person re-identification (re-ID), the method of collaborative training between dual networks has been proposed...
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Chapter and Conference Paper
Leg Mass Influences the Jum** Performance of Compliant One-legged Robots
Compliant leg behavior and the spring-loaded inverted pendulum (SLIP) model help understand the dynamics of legged locomotion while few works could be found discussing the effects of leg mass, which is an intr...
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Article
Design and Dynamic Analysis of a Compliant Leg Configuration towards the Biped Robot’s Spring-Like Walking
The spring-loaded inverted pendulum (SLIP) model has been proven successfully applied to implement spring-like walking for biped robots. This work presents a compliant leg configuration that can meet the requi...
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Chapter and Conference Paper
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution
Ensemble learning trains and combines multiple base learners for a single learning task, and has been among the state-of-the-art learning techniques. Ensemble pruning tries to select a subset of base learners ...
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Chapter and Conference Paper
Gene Expression PPI Network Clustering Analysis Between Endometrial Cancer and Ovarian Cancer
Recently, computer intelligent analysis as a significant technical means to discuss the differential mutant genes expression with the PPI network is current hot issues. In this paper, we mainly focus on discus...
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Chapter and Conference Paper
Emotional Expression Analysis Based on Fine-Grained Emotion Quantification Model Via Social Media
Social media has gradually become an essential part of individuals, where unrestrained emotions are shared on the public platform. Emotion is the nature production of physiological reaction which can even affe...
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Chapter and Conference Paper
Retina Macular Edema and Age-Related Macular Degeneration Feature Recognition Method Based on the OCT Images
Diabetic Macular Edema (DME) and Age-related Macular Degeneration (AMD) are the main causes of vision loss in patients with retinal diseases. Computer-assisted, deep learning-based enables intelligent analysis...
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Chapter and Conference Paper
Automatic Identification and Classification Method for Diabetic Retinopathy FFA Image Processing
Diabetic retinopathy (DR) is one of the most significant manifestations of diabetic microvascular lesions. In this paper, we proposed a sub-divisional algorithm of diabetic retinopathy degree (SADRD) algorithm...
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Chapter and Conference Paper
Dynamic Token Distribution Model for Privacy Protection of Mobile Users
With the growing maturity of cloud computing and the wider application range, deploying applications on cloud computing platform has become a common way in the Internet industry. The user privacy of cloud serv...
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Chapter and Conference Paper
Modeling Interactions Among Microservices Communicating via FIFO or Bag Buffers
Interactions among individual microservices communicating asynchronously via FIFO or bag buffers vary significantly even for the same buffer size. Different interactions among microservices will lead to differ...
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Article
Multi-label optimal margin distribution machine
Multi-label support vector machine (Rank-SVM) is a classic and effective algorithm for multi-label classification. The pivotal idea is to maximize the minimum margin of label pairs, which is extended from SVM....
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Article
Handling concept drift via model reuse
In many real-world applications, data are often collected in the form of a stream, and thus the distribution usually changes in nature, which is referred to as concept drift in the literature. We propose a novel ...
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Chapter and Conference Paper
Wavelet-Based Emotion Recognition Using Single Channel EEG Device
Using computer technology to recognize emotion is the key to realize high-level human-computer interaction. Compared with facial and behavioral, physiological data such as EEG can detect real emotions more eff...
