Skip to main content

Cognitive Computation

Ausgabe 6/2022

Inhalt (34 Artikel)

Granular Computing and Three-way Decisions for Cognitive Analytics

JingTao Yao, Yiyu Yao, Davide Ciucci, Kaizhu Huang

Three-Way Decision Models Based on Multi-granulation Rough Intuitionistic Hesitant Fuzzy Sets

Zhanao Xue, Bingxin Sun, Haodong Hou, Wenli Pang, Yanna Zhang

Tri-Partition State Alphabet-Based Sequential Pattern for Multivariate Time Series

Zhi-Heng Zhang, Fan Min, Gong-Suo Chen, Shao-Peng Shen, Zuo-Cheng Wen, Xiang-Bing Zhou

Open Access

Mining Knowledge of Respiratory Rate Quantification and Abnormal Pattern Prediction

Piotr Szczuko, Adam Kurowski, Piotr Odya, Andrzej Czyżewski, Bożena Kostek, Beata Graff, Krzysztof Narkiewicz

Open Access

Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke

Maryam Doborjeh, Zohreh Doborjeh, Alexander Merkin, Rita Krishnamurthi, Reza Enayatollahi, Valery Feigin, Nikola Kasabov

A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation

Cosimo Ieracitano, Francesco Nicoletti, Natale Arcuri, Giuseppe Ruggeri, Mario Versaci, Francesco Carlo Morabito, Nadia Mammone

Improving Zero-Shot Learning Baselines with Commonsense Knowledge

Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria

Open Access

Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection

Faseela Abdullakutty, Eyad Elyan, Pamela Johnston, Adamu Ali-Gombe

Modeling Tweet Dependencies with Graph Convolutional Networks for Sentiment Analysis

Abdalsamad Keramatfar, Hossein Amirkhani, Amir Jalaly Bidgoly

Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss

Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu

An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features

Jia Wen Li, Rong Jun Chen, Shovan Barma, Fei Chen, Sio Hang Pun, Peng Un Mak, Lei Jun Wang, Xian Xian Zeng, Jin Chang Ren, Hui Min Zhao

Atten-GAN: Pedestrian Trajectory Prediction with GAN Based on Attention Mechanism

Fang Fang, Pengpeng Zhang, Bo Zhou, Kun Qian, Yahui Gan