[818e31]: / tables / domains_architecture_table.tex

Download this file

53 lines (52 with data), 29.2 kB

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
\begin{tabular}{p{1.5cm}p{1.5cm}p{1.5cm}p{1.5cm}p{0.6cm}p{0.6cm}p{0.6cm}p{0.6cm}p{0.6cm}p{0.6cm}p{0.6cm}p{0.6cm}p{0.6cm}p{0.6cm}}
\toprule
& & & Architecture (clean) & AE & CNN & CNN+RNN & DBN & FC & GAN & N/M & Other & RBM & RNN \\
Domain 1 & Domain 2 & Domain 3 & Domain 4 & & & & & & & & & & \\
\midrule
Classification of EEG signals & BCI & Active & Grasp and lift & & & & & & & & & & \cite{An2016} \\
& & & Mental tasks & & & & & \cite{Padmanabh2017} & & & & & \cite{Hasib2018, Patnaik2017} \\
& & & Motor imagery & \cite{Zhang2017a, Li2014} & \cite{Gao2018, Sakhavi2017, Tang2017, Schirrmeister2017, Dharamsi2017, Loshchilov2017, Tabar2016a, Sakhavi2015, Yang2015a} & \cite{Zhang2018c} & \cite{An2014} & \cite{Chiarelli2018, Major2017, Alomari2013, Mohamed2011} & & & \cite{Zhang2017g, Normand2015} & & \cite{Zhang2017d, Bu2010} \\
& & & Slow cortical potentials & & & & & & & & \cite{Ding2015} & & \\
& & & Speech decoding & & & & \cite{Sree2017} & & & & & \cite{Sun2016} & \\
& & Active \& Reactive & MI \& ERP & & \cite{Lawhern2018} & & & & & & & & \\
& & Reactive & ERP & & \cite{Yoon2018, Volker2018, Behncke2017, Cecotti2011} & & & & & & & & \\
& & & Heard speech decoding & & & & & & & & & & \cite{Moinnereau2018} \\
& & & RSVP & & \cite{Parekh2018, Zafar2017, Hajinoroozi2017, Shamwell2016, Manor2015, Cecotti2014} & \cite{Spampinato2017} & & & & & & & \\
& & & SSVEP & \cite{Perez-Benitez2018} & \cite{Aznan2018, Waytowich2018, kwak2017} & & & & & & & & \\
& Clinical & Alzheimer's disease & & & \cite{Morabito2016} & & & & & & & & \\
& & Anomaly detection & & & & & \cite{Wulsin2011} & & & & & & \\
& & Dementia & & \cite{Morabito2017} & & & & & & & & & \\
& & Epilepsy & Detection & \cite{Yuan2018a, Golmohammadi2017} & \cite{Hao2018, Ullah2018, OShea2018, OShea2017, Acharya2017, Thodoroff2016} & \cite{VanPutten2018a, Golmohammadi2017b, Shah2017, Golmohammadi2017a} & \cite{Turner2014} & \cite{Omerhodzic2013} & & \cite{Taqi2017} & & & \cite{Hussein2018, Ahmedt-Aristizabal2018, Talathi2017, Naderi2010} \\
& & & Event annotation & & & & & & & \cite{Yang2016b} & & & \\
& & & Prediction & & \cite{Truong2018, Page2016} & & & & & & \cite{Truong2018a} & & \cite{Tsiouris2018} \\
& & Ischemic stroke & & & \cite{Giri2016a} & & & & & & & & \\
& & Pathological EEG & & & \cite{Schirrmeister2017a} & \cite{Roy2018} & & & & & & & \\
& & Schizophrenia & Detection & & \cite{Chu2017} & & & & & & & & \\
& & Sleep & Abnormality detection & & \cite{Ruffini2018a} & & & & & & & & \\
& & & Staging & \cite{Langkvist2018, Tripathy2018} & \cite{Patanaik2018, Phan2018, Sors2018, Chambon2018, Vilamala2017, Xie2017, Manzano2017a, Tsinalis2016a} & \cite{Supratak2017, Biswal2017} & \cite{Langkvist2012} & & & & \cite{Giri2016} & & \cite{dong2018mixed} \\
& Monitoring & Affective & Bullying incidents & & \cite{Baltatzis2017} & & & & & & & & \\
& & & Emotion & \cite{BenSaid2017a, Xu2016, Liu2016, Jirayucharoensak2014} & \cite{Liao2018, Lin2017} & & \cite{Zheng2015, Zheng2014, Li2013} & \cite{Teo2018, Kwon2017, Frydenlund2015} & & \cite{Mehmood2017} & & \cite{Gao2015} & \cite{Li2018, Zhang2018, Alhagry2017} \\
& & Cognitive & Drowsiness & & & & & & & & & \cite{Hajinoroozi2015} & \\
& & & Engagement & & & & & & & & & \cite{Li2017} & \\
& & & Eyes closed/open & & & & \cite{Narejo2016} & & & & & & \\
& & & Fatigue & & \cite{Hajinoroozi2016} & & & & & & & & \\
& & & Mental workload & \cite{Yin2017a, Yin2016b} & \cite{Almogbel2018, Zhang2017} & \cite{Hefron2018, Kuanar2018} & & & & & & & \cite{Hefron2017} \\
& & & Mental workload \& fatigue & & & & \cite{Yin2017} & & & & & & \\
& & Cognitive vs. Affective & & & & & \cite{Bashivan2016b} & & & & & & \\
& & Music semantics & & & \cite{Stober2014} & & & & & & & & \\
& & Physical & Exercise & & \cite{Ghosh2018} & & & & & \cite{Gordienko2017} & & & \\
& Multi-purpose architecture & & & \cite{Lee2018a} & \cite{Zhang2018a} & & & & & & \cite{Deiss2018} & & \\
& Music semantics & & & & \cite{Raposo2017} & & & & & & & & \\
& Personal trait/attribute & Person identification & & & & & & & & & & & \cite{Zhang2017e, Zhang2017c} \\
& & Sex & & & \cite{VanPutten2018b} & & & & & & & & \\
Generation of data & Data augmentation & & & & \cite{Wang2018, Zhang2018b, Schwabedal2018} & & & & & & & & \\
& Generating EEG & & & & & & & & \cite{Hartmann2018} & & & & \\
& & Spatial upsampling & & & & & & & \cite{Corley2018} & & & & \\
& Generating images conditioned on EEG & & & & & & & & \cite{Lee2018} & & \cite{Palazzo2017} & & \\
Improvement of processing tools & Feature learning & & & \cite{Wen2018, Stober2015, Li2015} & \cite{Bashivan2016a} & & & & & & & & \\
& Hardware optimization & Neuromorphic chips & & & \cite{Nurse2016} & & & & & \cite{Yepes2017} & & & \\
& Model interpretability & Model visualization & & & \cite{Hartmann2018b} & & & & & \cite{Sturm2016} & & & \\
& Reduce effect of confounders & & & & & & & & & & & & \cite{Wu2018} \\
& Signal cleaning & Artifact handling & & \cite{Yang2018, Yang2016a} & \cite{Wang2018a} & & & \cite{drouin2016using} & & & & & \cite{Pardede2015} \\
\bottomrule
\end{tabular}