Results 31 to 40 of about 159,503 (290)

Drug-Drug Interaction Extraction Based on Transfer Weight Matrix and Memory Network

IEEE Access, 2019
Extracting drug-drug interaction (DDI) in the text is the process of identifying how two target drugs in a given sentence interact. Previous methods, which were limited to conventional machine learning techniques, we are susceptible to issues such as ...
Juan Liu, Zhong Huang, Fuji Ren, Lei Hua
doaj   +1 more source

The ordinal nature of emotions [PDF]

, 2017
Representing computationally everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing. Standard practice in emotion annotation is to ask humans to assign an absolute value of intensity to each
Busso, Carlos, Cowie, Roddy, International Conference on Affective Computing and Intelligent Interaction (ACII) 2017, Yannakakis, Georgios N.   +3 more
core   +1 more source

Unveiling Affective Signals [PDF]

, 2010
The ability to process and, subsequently, understand affective signals is the core of emotional intelligence and empathy. However, more than a decade of research in affective computing has shown that it is hard to develop computational models of this ...
Broek, Egon L. van den, Nijholt, Anton, Westerink, Joyce H.D.M.   +2 more
core   +2 more sources

Multi-modal Approach for Affective Computing

, 2018
Throughout the past decade, many studies have classified human emotions using only a single sensing modality such as face video, electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin response (GSR), etc.
Jung, Tzyy-Ping, Sejnowski, Terrence J., Siddharth, Siddharth   +2 more
core   +1 more source

Enhancing health care via affective computing [PDF]

, 2018
Affective computing is a multidisciplinary field that studies the various ways by which computational processes are able to elicit, sense, and detect manifestations of human emotion.
Yannakakis, Georgios N.
core   +1 more source

MobileSteelNet: A Lightweight Steel Surface Defect Classification Network with Cross-Interactive Efficient Multi-Scale Attention

Sensors
Steel surface defect classification is critical for industrial quality control, yet existing methods struggle to balance accuracy and efficiency for real-time deployment in vision-based sensor systems.
Xiang Zou, Zhongming Liu, Chengjun Xu, Jiawei Zhang, Zhaoyu Li   +4 more
doaj   +1 more source

Effects of Musical Tempo on Musicians’ and Non-musicians’ Emotional Experience When Listening to Music

Frontiers in Psychology, 2018
Tempo is an important musical element that affects human’s emotional processes when listening to music. However, it remains unclear how tempo and training affect individuals’ emotional experience of music.
Ying Liu, Ying Liu, Ying Liu, Guangyuan Liu, Guangyuan Liu, Guangyuan Liu, Guangyuan Liu, Guangyuan Liu, Dongtao Wei, Dongtao Wei, Dongtao Wei, Qiang Li, Qiang Li, Qiang Li, Guangjie Yuan, Guangjie Yuan, Guangjie Yuan, Shifu Wu, Shifu Wu, Shifu Wu, Gaoyuan Wang, Xingcong Zhao, Xingcong Zhao, Xingcong Zhao   +23 more
doaj   +1 more source

Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging

NeuroImage, 2022
Here we investigate the crucial role of trials in task-based neuroimaging from the perspectives of statistical efficiency and condition-level generalizability. Big data initiatives have gained popularity for leveraging a large sample of subjects to study
Gang Chen, Daniel S. Pine, Melissa A. Brotman, Ashley R. Smith, Robert W. Cox, Paul A. Taylor, Simone P. Haller   +6 more
doaj   +1 more source

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [PDF]

, 2018
Over the past few years, adversarial training has become an extremely active research topic and has been successfully applied to various Artificial Intelligence (AI) domains.
Cummins, Nicholas, Han, Jing, Schuller, Björn, Zhang, Zixing   +3 more
core   +2 more sources

Multistatic Passive Radar for drone detection based Random Finite State

Emitter: International Journal of Engineering Technology
Considering the implication of radar sensors in our daily life and environment. Localizing and identifying drones are becoming a research with  a greater focus in recent years.
Junior Milembolo Miantezila, Guo Bin, Wu Jinshuang, Ma Weijiao   +3 more
doaj   +1 more source