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SUM'20: State-based User Modelling
2020
Proceedings of the 13th International Conference on Web Search and Data Mining
Information systems → Personalization; Task models; Recommender systems. KEYWORDS Task-based search; state-aware systems; human in the loop; recommender systems; personalisation; user modelling. ...
EXPECTED OUTCOMES Rather than focusing on different aspects of state-based user modelling in isolation (such as user interactions, task taxonomy spaces, etc.), SUM'20 encourages tabling the challenges, ...
RELATED WORKSHOPS There have been several workshops that can be considered of relevance to the SUM'20 research themes. (AAAI'14) . ...
doi:10.1145/3336191.3371883
dblp:conf/wsdm/BulathwelaPMOHS20
fatcat:fjaq7ydpbff7hhxybgvfjo6tie
Development of Model for Providing Feasible Scholarship
2016
CommIT Journal
are for the model testing. ...
To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data ...
20
80
precision
1
1
GPA
mean
2.4
3.475
std. dev.
1.2806
0.4994
weight sum
20
80
precision
1
1
Ability
Capable
10.0
1.0
Quite Capable
11.0
2.0
Unable
2.0
80.0
[total]
23.0 ...
doi:10.21512/commit.v10i1.1666
fatcat:g6tkochrhvav7gw6fpk24n6yqy
Development of Model for Providing Feasible Scholarship
2016
CommIT Journal
are for the model testing. ...
To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data ...
20
80
precision
1
1
GPA
mean
2.4
3.475
std. dev.
1.2806
0.4994
weight sum
20
80
precision
1
1
Ability
Capable
10.0
1.0
Quite Capable
11.0
2.0
Unable
2.0
80.0
[total]
23.0 ...
doi:10.21512/commit.v10i1.895
fatcat:wjbgqo2v4bdsvlmqn4ywcdpbxy
Distinguishing Emotional Responses to Photographs and Artwork Using a Deep Learning-Based Approach
2019
Sensors
We answer this question by employing electroencephalogram (EEG)-based biosignals and a deep convolutional neural network (CNN)-based emotion recognition model. ...
We employ Russell's emotion model, which matches emotion keywords such as happy, calm or sad to a coordinate system whose axes are valence and arousal, respectively. ...
7
8
background
art
3
4
other
2
2
sum
20
20
Table A1 . ...
doi:10.3390/s19245533
pmid:31847398
pmcid:PMC6960756
fatcat:q3rzsq7mbzcllehpdb4gjn6woy
Faster-than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA
[article]
2021
arXiv
pre-print
Faster-than-Nyquist (FTN) signaling aided non-orthogonal multiple access (NOMA) is conceived and its achievable rate is quantified in the presence of random link delays of the different users. ...
aFTN-NOMA, SNR SUM = 20 dB SNR SUM = 0 dB SNR SUM = 10 dB SNR SUM = 20 dB (a) Normalized sum-rate vs. number of users with different SNRs. relateive to NOMA (bits/s/Hz) aNOMA aFTN-NOMA (b) Normalized ...
rate (bits/s/Hz) NOMA, SNR SUM = 0 dB aNOMA, SNR SUM = 0 dB aFTN-NOMA, SNR SUM = 0 dB NOMA, SNR SUM = 10 dB aNOMA, SNR SUM = 10 dB aFTN-NOMA, SNR SUM = 10 dB NOMA, SNR SUM = 20 dB aNOMA, SNR SUM = 20 dB ...
arXiv:2111.08258v2
fatcat:7tio3duoofh5lbcqbv67fqqgyq
In-depth Real-World Evaluation of NB-IoT Module Energy Consumption
[article]
2020
arXiv
pre-print
IPv4
UDP MQTT-SN
Sum
Publish/
20
8
9
37
Subscribe IPv4
TCP
MQTT
Sum
20
20
34
74
IPv4
UDP
CoAP
Sum
Rest-
20
8
20-30
48-58
based
IPv4
TCP
HTTP
Sum
20
20
> 18
> 58 ...
By default, UE spends time in RRC Idle state, in which the base station (eNB) cannot allocate resources to UE. If UE needs to send/receive data, it transits to RRC Connected state. ...
arXiv:2005.13648v1
fatcat:4kk57vofkraghphwsxv3pzsg5a
Formation of school student's vocabulary skills through innovative technologies
2021
World Journal on Educational Technology
Keywords: Electronic book, innovative technologies, student feedback, technology-based learning ...
Based on the results of the research, it is recommended to improve electronic books through innovative technologies and to carry out studies on increasing the use of electronic books by students. ...
Sum 20 100
. Formation of school student's vocabulary skills through innovative technologies. ...
doi:10.18844/wjet.v13i4.6310
fatcat:7b5moxz23vewvb2ia7phmcewd4
Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning?
[article]
2019
arXiv
pre-print
efficiency due to selfish behavior of users. ...
Toward this end, we consider a simple linear AoI-based reward mechanism and analyze its AoI and congestion performances in terms of price of anarchy (PoA), which characterizes the degradation of the system ...
This implies E [L[t + 1] − L[t]] ≤ − γǫ N β N n=1 E[Q n [t]] − N n=1 µ n µ Σ E[∆ n [t]] + B(γ) β + N q − 1 + p max β . (20) Summing (20) for t = 0, 1, 2, . . . , T − 1, we obtain E[L[T ] − L[0]] ≤ − ...
arXiv:1902.06149v1
fatcat:gneook5upvgqvdoztccgz4bp4q
Tool Condition Monitoring of the Cutting Capability of a Turning Tool Based on Thermography
2021
Sensors
The proposed model, combining Infrared Thermography, Computer Vision, and Deep Learning, proved to be a suitable method with results of more than 96% accuracy. ...
While existing temperature based TCM systems focus on measuring a cutting tool absolute temperature, the proposed system analyses a temperature distribution (relative temperatures) on the whole image based ...
Future Work The intelligent model for cutting tool wear and defect monitoring determines the tool state based on the thermographic image. ...
doi:10.3390/s21196687
pmid:34641006
fatcat:o2iqogaqavfdrh2cwegggmxhpy
Semantic Interpretation of Phraseological Units in Ukrainian-Polish Electronic Phraseological Dictionary
2015
Cognitive Studies | Études cognitives
phraseological lexicons it is necessary to address such theoretical issues as the formulation linguistically grounded principles of selection of phraseological units and their translation, semantic interpretation based ...
of the world of the linguistic systems, comprehensive combination of elements of the structure and presentation of various linguistic ambiguities, rational form of dictionary entries and building of user-friendly ...
of its components, but occurs on the basis of rethinking mainly due to metaphorical and analogical processes (SUM-20, 2010, p. 24) . ...
doi:10.11649/cs.2015.021
fatcat:6st767tnezczpac56d2hk7kc6e
Game-based e-retailing in GOLEM agent environments
2009
Pervasive and Mobile Computing
We also describe the features of GOLEM that allow a user to engage in e-retailing activities in order to explore the virtual social environment by searching and dynamically discovering new agents, products ...
The result does not necessarily need to be zero-sum [20] , by requiring a winner and a loser, but it can also give rise to a win/win or loose/loose situation, depending on the application and the multi-agent ...
based on the user profile and preferences. ...
doi:10.1016/j.pmcj.2009.05.003
fatcat:ae2c2eiekfc5jnactkldjepc3i
Proactive DDoS Attack Mitigation in Cloud-Fog Environment using Moving Target Defense
[article]
2020
arXiv
pre-print
"i" can send per second
limit[i]
maximum usage of a user "i"
countfid[i]
number of requests served by a fog server for a user
"i"
flag[i]
state of each fog server "i"
account[i]
number of ...
Based on the kind of changes MTD is making to the system it has been classified into four categories i.e., Software based diversification , Runtime based diversification, Communication diversification ...
arXiv:2012.01964v1
fatcat:wsknjchh6rgjzpvwz3to2mruge
Clone Detection Based on BPNN and Physical Layer Reputation for Industrial Wireless CPS
2020
IEEE Transactions on Industrial Informatics
The existing clone detection schemes are either based on upper layer observations or physical layer channel state information. ...
The schemes based on upper layer observations are vulnerable to defamation while the schemes based on channel state information perform better against defamation, but are badly affected by channel conditions ...
When N sum = 3 and N sum = 20, the reputations are shown in Figs. 9 and 10, according to R 6 . ...
doi:10.1109/tii.2020.3028120
fatcat:ncwssuzvfreunafegfgvbtja4a
Scalable Psychological Momentum Forecasting in Esports
[article]
2020
arXiv
pre-print
By leveraging temporal data and appropriate models, we show that a learned representation of player psychological momentum, and of tilt, can be used, in combination with player expertise, to achieve state-of-the-art ...
SUM '20, February 03-07, 2020, Houston, TX © 2020 Copyright held by the owner/author(s). ...
Whereas other tilt detection methods have used peripheral equipment to estimate affective states [Wei et al. 2016 ], we use a minimal amount of information to infer effects through user interactions and ...
arXiv:2001.11274v1
fatcat:z5t3t22rbrg3zob5mpkjqonwp4
Fast, versatile, and quantitative annotation of complex images
[article]
2018
bioRxiv
pre-print
The app is simple enough to be used by children, and annotation tasks are distributed across app users, contributing to efficient annotation. ...
, including features of rice root growth and structure, stem cell aggregate morphology, and complex worm (C. elegans) postures, for which we show that the speed of annotation is >130-fold faster than state-of-the-art ...
To identify a threshold similarity score below which we could consider 5 two annotations to be from distinct groups, we modeled the distribution of similarity scores 6 from user-user comparisons (Fig ...
doi:10.1101/391169
fatcat:4ztxw6zwfjealj43nbkwnnzpyu
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