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Applied Intelligence
November 2020, issue 11
Applied Intelligence
(APIN)
-
November 2020, issue 11
论文列表
点击这里查看 Applied Intelligence 的JCR分区、影响因子等信息
卷期号:
November 2020, issue 11
发布时间:
卷期年份:
2020
卷期官网:
https://link.springer.com/journal/10489/volumes-and-issues/50-11
本期论文列表
A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor
原文链接
谷歌学术
必应学术
百度学术
Identifying ground truth in opinion spam: an empirical survey based on review psychology
原文链接
谷歌学术
必应学术
百度学术
Boundary-connection deletion strategy based method for community detection in complex networks
原文链接
谷歌学术
必应学术
百度学术
Reinforcement learning algorithm for non-stationary environments
原文链接
谷歌学术
必应学术
百度学术
In-depth exploration of attribute information for person re-identification
原文链接
谷歌学术
必应学术
百度学术
Anchor-free multi-orientation text detection in natural scene images
原文链接
谷歌学术
必应学术
百度学术
Uniform distribution driven adaptive differential evolution
原文链接
谷歌学术
必应学术
百度学术
Dynamic feature selection method with minimum redundancy information for linear data
原文链接
谷歌学术
必应学术
百度学术
Large margin classifiers to generate synthetic data for imbalanced datasets
原文链接
谷歌学术
必应学术
百度学术
Solving artificial ant problem using two artificial bee colony programming versions
原文链接
谷歌学术
必应学术
百度学术
A new parameter reduction algorithm for interval-valued fuzzy soft sets based on Pearson’s product moment coefficient
原文链接
谷歌学术
必应学术
百度学术
Designing an interval type-2 fuzzy disturbance observer for a class of nonlinear systems based on modified particle swarm optimization
原文链接
谷歌学术
必应学术
百度学术
A multi-objective algorithm for multi-label filter feature selection problem
原文链接
谷歌学术
必应学术
百度学术
Capped L1-norm distance metric-based fast robust twin extreme learning machine
原文链接
谷歌学术
必应学术
百度学术
Incrementally updating the high average-utility patterns with pre-large concept
原文链接
谷歌学术
必应学术
百度学术
A novel multi-classifier based on a density-dependent quantized binary tree LSSVM and the logistic global whale optimization algorithm
原文链接
谷歌学术
必应学术
百度学术
Gene selection of non-small cell lung cancer data for adjuvant chemotherapy decision using cell separation algorithm
原文链接
谷歌学术
必应学术
百度学术
A Dynamic multi-sensor data fusion approach based on evidence theory and WOWA operator
原文链接
谷歌学术
必应学术
百度学术
A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning
原文链接
谷歌学术
必应学术
百度学术
A deceptive detection model based on topic, sentiment, and sentence structure information
原文链接
谷歌学术
必应学术
百度学术
Using prior knowledge in the inference of gene association networks
原文链接
谷歌学术
必应学术
百度学术
Modeling learner’s dynamic knowledge construction procedure and cognitive item difficulty for knowledge tracing
原文链接
谷歌学术
必应学术
百度学术
A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19
原文链接
谷歌学术
必应学术
百度学术
Transient search optimization: a new meta-heuristic optimization algorithm
原文链接
谷歌学术
必应学术
百度学术
Multi-objective traveling salesman problem: an ABC approach
原文链接
谷歌学术
必应学术
百度学术
An adaptive GP-based memetic algorithm for symbolic regression
原文链接
谷歌学术
必应学术
百度学术
FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information
原文链接
谷歌学术
必应学术
百度学术
Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines
原文链接
谷歌学术
必应学术
百度学术
Content-aware web robot detection
原文链接
谷歌学术
必应学术
百度学术
Joint label-specific features and label correlation for multi-label learning with missing label
原文链接
谷歌学术
必应学术
百度学术
Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process
原文链接
谷歌学术
必应学术
百度学术
An effective multi-level synchronization clustering method based on a linear weighted Vicsek model
原文链接
谷歌学术
必应学术
百度学术
Data-driven multi-attribute decision-making by combining probability distributions based on compatibility and entropy
原文链接
谷歌学术
必应学术
百度学术
NetDAP: (δ, γ) −approximate pattern matching with length constraints
原文链接
谷歌学术
必应学术
百度学术
An interpretable regression approach based on bi-sparse optimization
原文链接
谷歌学术
必应学术
百度学术
Correction to: Facial expression recognition sensing the complexity of testing samples
原文链接
谷歌学术
必应学术
百度学术