Cognitive Computation
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Sắp xếp:
Negotiating over Mobile Phones: Calling or Being Called Can Make the Difference
Cognitive Computation - Tập 6 - Trang 677-688 - 2014
Mobile phones pervade our everyday life like no other technology, but the effects they have on one-to-one conversations are still relatively unknown. This paper focuses on how mobile phones influence negotiations, i.e., on discussions where two parties try to reach an agreement starting from opposing preferences. The experiments involve 60 pairs of unacquainted individuals (120 subjects). They mus......
Feature Selection Based on Modified Bio-inspired Atomic Orbital Search Using Arithmetic Optimization and Opposite-Based Learning
Cognitive Computation - Tập 14 - Trang 2274-2295 - 2022
Feature selection (FS) has the largest influence on the performance of machine learning methods. FS can remove the irrelevant and redundancy features from the data while preserving the same quality of increasing it. However, the traditional FS methods are time-consuming and can be stuck in local optima. So, the metaheuristic (MH) techniques are used to avoid these limitations since they have sever......
An Ensemble of Complementary Models for Deep Tracking
Cognitive Computation - Tập 14 - Trang 1096-1106 - 2021
Convolutional neural networks (CNNs) have shown favorable performance in recent tracking benchmark datasets. Some methods extract different levels of features based on pre-trained CNNs to deal with various challenging scenarios. Despite demonstrated successes for visual tracking, utilizing features from the same network might suffer from the suboptimal performance due to limitations of CNN archite......
DCTGM: A Novel Dual-channel Transformer Graph Model for miRNA-disease Association Prediction
Cognitive Computation -
Developing Prognosis Tools to Identify Learning Difficulties in Children Using Machine Learning Technologies
Cognitive Computation - - 2010
The Mental Attributes Profiling System was developed in 2002 (Laouris and Makris, Proceedings of multilingual & cross-cultural perspectives on Dyslexia, Omni Shoreham Hotel, Washington, D.C, 2002), to provide a multimodal evaluation of the learning potential and abilities of young children’s brains. The method is based on the assessment of non-verbal abilities using video-like interfaces and was c......
Discriminative Deep Belief Network for Indoor Environment Classification Using Global Visual Features
Cognitive Computation - Tập 10 - Trang 437-453 - 2018
Indoor environment classification, also known as indoor environment recognition, is a highly appreciated perceptual ability in mobile robots. In this paper, we present a novel approach which is centered on biologically inspired methods for recognition and representation of indoor environments. First, global visual features are extracted by using the GIST descriptor, and then we use the subsequent ......
Text Classification with Attention Gated Graph Neural Network
Cognitive Computation - Tập 14 - Trang 1464-1473 - 2022
Text classification is a fundamental and important task in natural language processing. There have been many graph-based neural networks for this task with the capacity of learning complicated relational information between word nodes. However, existing approaches are potentially insufficient in capturing semantic relationships between the words. In this paper, to address the above issue, we propo......
Affordance Estimation Enhances Artificial Visual Attention: Evidence from a Change-Blindness Study
Cognitive Computation - Tập 7 - Trang 526-538 - 2015
Visual attention models are typically based on the concept of saliency, a conspicuity measure which considers features such as color, intensity or orientation. Much current research aims at modeling top-down interactions, which highly influence human attentional behavior. Typically, these are in the form of targets to be searched for or general characteristics (gist) of a scene. In humans, it has......
A Data-Driven Energy Management Strategy Based on Deep Reinforcement Learning for Microgrid Systems
Cognitive Computation - Tập 15 - Trang 739-750 - 2023
Due to the interactions among schedulable equipment and the uncertainty of microgrid (MG) systems, it becomes increasingly difficult to establish accurate mathematical models for energy management. To improve the stability and economy of MGs, a data-driven energy management strategy must be proposed. In this paper, distributed generators (DGs) and an energy storage system (ESS) are taken as the co......
Tổng số: 830
- 1
- 2
- 3
- 4
- 5
- 6
- 10