Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
-
Recognizing Falls, Daily Activities, and Health Monitoring by Smart Devices
S Sukreep, K Elgazzar, CH Chu, C Nukoolkit, P Mongkolnam. Cited by 5
-
Memetic Evolution Strategy for Reinforcement Learning
X Qu, YS Ong, Y Hou, X Shen. Cited by 9
-
A multi-objective approach to water and nutrient efficiency for sustainable agricultural intensification
I Kropp, AP Nejadhashemi, K Deb, M Abouali, PC Roy, U Adhikari, G Hoogenboom. Cited by 80
-
Embracing the Smart-Home Revolution in Asia by the Elderly: An End-User Negative Perception Modeling
D Pal, B Papasratorn, W Chutimaskul, S Funilkul. Cited by 83
-
iWatch: A Fall and Activity Recognition System Using Smart Devices
S Sukreep, K Elgazzar, CH Chu, P Mongkolnam, C Nukoolkit. Cited by 3
-
Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being
W Lawanot, M Inoue, T Yokemura, P Mongkolnam, C Nukoolkit. Cited by 27
-
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition
W Jiao, H Yang, I King, MRT Lyu. Cited by 58
-
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
HP Chan, W Chen, L Wang, I King. Cited by 92
-
Satja
S Prajongjai, T Triyason, P Mongkolnam
-
Emotion in a Century
T Thanapattheerakul, K Mao, J Amoranto, JH Chan. Cited by 36
-
Sensor Information Fusion by Integrated AI to Control Public Emotion in a Cyber-Physical Environment
SG Choi, SB Cho. Cited by 8
-
CiliateGEM: an open-project and a tool for predictions of ciliate metabolic variations and experimental condition design
A Mancini, F Eyassu, M Conway, A Occhipinti, P Lió, C Angione, S Pucciarelli. Cited by 5