Artificial Intelligence Review

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
Semi-supervised transfer discriminant analysis based on cross-domain mean constraint
Artificial Intelligence Review - Tập 49 - Trang 581-595 - 2016
Shaofei Zang, Yuhu Cheng, Xuesong Wang, Qiang Yu
In this paper, a novel semi-supervised feature extraction algorithm, i.e., semi-supervised transfer discriminant analysis (STDA) with knowledge transfer capability is proposed, based on the traditional algorithm that cannot get adapted in the change of the learning environment. By using both the pseudo label information from target domain samples and the actual label information from source domain...... hiện toàn bộ
A critical empirical evaluation of deep learning models for solving aspect based sentiment analysis
Artificial Intelligence Review - - 2023
P. R. Joe Dhanith, K. Arun Prabha
The variants of the Bees Algorithm (BA): a survey
Artificial Intelligence Review - Tập 47 - Trang 67-121 - 2016
Wasim Abdulqawi Hussein, Shahnorbanun Sahran, Siti Norul Huda Sheikh Abdullah
The Bees Algorithm (BA) is a bee swarm intelligence-based metaheuristic algorithm that is inspired by the natural behavior of honeybees when foraging for food. BA can be divided into four parts: parameter tuning, initialization, local search, and global search. Since its invention, several studies have sought to enhance the performance of BA by improving some of its parts. Thus, more than one vers...... hiện toàn bộ
Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement
Artificial Intelligence Review - Tập 48 - Trang 397-447 - 2016
José Hernández-Orallo
The evaluation of artificial intelligence systems and components is crucial for the progress of the discipline. In this paper we describe and critically assess the different ways AI systems are evaluated, and the role of components and techniques in these systems. We first focus on the traditional task-oriented evaluation approach. We identify three kinds of evaluation: human discrimination, probl...... hiện toàn bộ
Recent automatic text summarization techniques: a survey
Artificial Intelligence Review - Tập 47 - Trang 1-66 - 2016
Mahak Gambhir, Vishal Gupta
As information is available in abundance for every topic on internet, condensing the important information in the form of summary would benefit a number of users. Hence, there is growing interest among the research community for developing new approaches to automatically summarize the text. Automatic text summarization system generates a summary, i.e. short length text that includes all the import...... hiện toàn bộ
Visualization of rhythm, time and metre
Artificial Intelligence Review - Tập 10 - Trang 253-273 - 1996
Neil P. McAngus Todd, Guy J. Brown
Developments in the theory of auditory processing of rhythmic signals have enabled the construction of a robust algorithm for recovery of rhythmic grouping structure. This algorithm appears to be effective for both speech and music signals. The theory upon which the algorithm was based was inspired by the theory of edge detection in vision. The output of the algorithm can be visualised in the form...... hiện toàn bộ
A systematic review for class-imbalance in semi-supervised learning
Artificial Intelligence Review - - 2023
Willian Dihanster Gomes de Oliveira, Lilian Berton
A comprehensive survey on model compression and acceleration
Artificial Intelligence Review - Tập 53 Số 7 - Trang 5113-5155 - 2020
Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, S. Jagannathan
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Artificial Intelligence Review - Tập 55 Số 7 - Trang 5673-5705 - 2022
Jian Zhou, Shuai Huang, Tao Zhou, Danial Jahed Armaghani, Yingui Qiu
Usage and implementation of neuro-fuzzy systems for classification and prediction in the diagnosis of different types of medical disorders: a decade review
Artificial Intelligence Review - Tập 53 - Trang 4651-4706 - 2020
Haneet Kour, Jatinder Manhas, Vinod Sharma
In classification and prediction of different types of medical disorders the neuro-fuzzy systems (NFS) are playing vital and significant role. To avoid false diagnosis the NFS assists medical practitioners to a greater extent in automating the domain dealing with medical disorders. With the passage of time the NFS approach has become apparent to enhance accuracy in dealing with a wide range of com...... hiện toàn bộ
Tổng số: 1,544   
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 10