期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (3)
Multimodal sentiment analysis has increasingly attracted attention since with the arrival of complementary data streams, it has great potential to imp......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (3)
Learning from imbalanced data streams differs fromthe traditional learning paradigm due to the issues of imbalanced classes. It has significant implic......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (3)
Anomaly detection is a significant but challenging data mining task in a wide range of applications. Different domains usually use different ways to m......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (3)
An academic team is a highly cohesive collaboration group of scholars, which has been recognized as an effective way to improve scientific output in t......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (3)
Anomaly detection has been widely applied in modern data-driven security applications to detect abnormal events/entities that deviate from the majorit......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (3)
Deep learning approaches for saliency detection have attracted much attention and have been exploited widely in recent years. In this article, we prop......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (2)
In this article, we tackle the problem of efficiently recomputing the skeptical acceptance of dynamic argumentation frameworks under the well-known pr......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (1)
This article takes the lead to study aspect-level sentiment modification (ALSM) without parallel data. Given a sentence, the task of ALSM needs to rev......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (1)
In recent years, money laundering has become much easier to be achieved but more challenging to be detected than before, which has enormous adversary ......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (1)
Students' performance prediction is a crucial task in today's online education. By predicting a student's final grade in an academic examination, inte......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (1)
Trust evaluation of people and information on social media is critical for maintaining a healthy online social environment. How to evaluate the trustw......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (1)
Coupling learning is designed to estimate, discover, and extract the interactions and relationships among learning components. It provides insights in......
期刊： IEEE INTELLIGENT SYSTEMS, 2021; 36 (1)
Generating the precise semantic representation of a word or concept is a fundamental task in natural language processing. Recent studies which incorpo......
期刊： IEEE INTELLIGENT SYSTEMS, 2020; 35 (6)
In this article, we propose a nonlinear model based on hidden-layer neural networks and local Gaussian process regression. The hidden-layer neural net......
期刊： IEEE INTELLIGENT SYSTEMS, 2020; 35 (6)
Passenger emergency management of urban rail transit station (URTS) has become an indispensable issue with attaching importance to economic benefits a......
