Tinů, P.[Peter],
Schittenkopf, C.[Christian],
Dorffner, G.[Georg],
Volatility Trading via Temporal Pattern Recognition in Quantised
Financial Time Series,
PAA(4), No. 4 2001, pp. 283-299.
Springer DOI
0202
BibRef
Keilis-Borok, V.I.,
Soloviev, A.A.,
Allčgre, C.B.,
Sobolevskii, A.N.,
Intriligator, M.D.,
Patterns of macroeconomic indicators preceding the unemployment rise in
Western Europe and the USA,
PR(38), No. 3, March 2005, pp. 423-435.
Elsevier DOI
0412
BibRef
Anderson, B.B.,
Hansen, J.V.,
Lowry, P.B.,
Summers, S.L.,
Model checking for E-business control and assurance,
SMC-C(35), No. 3, August 2005, pp. 445-450.
IEEE DOI
0508
BibRef
Nanni, L.[Loris],
Multi-resolution subspace for financial trading,
PRL(27), No. 2, 15 January 2006, pp. 109-115.
Elsevier DOI
0512
BibRef
Yümlü, S.[Serdar],
Gürgen, F.S.[Fikret S.],
Okay, N.[Nesrin],
A comparison of global, recurrent and smoothed-piecewise neural models
for Istanbul stock exchange (ISE) prediction,
PRL(26), No. 13, 1 October 2005, pp. 2093-2103.
Elsevier DOI
0509
BibRef
Mishra, S.K.[Sudhansu Kumar],
Panda, G.[Ganapati],
Meher, S.[Sukadev],
Majhi, R.[Ritanjali],
Multi-objective evolutionary algorithms for financial portfolio design,
IJCVR(1), No. 2, 2010, pp. 236-247.
DOI Link
1011
BibRef
Yang, Y.[Yi],
Liu, J.P.[Ji-Ping],
Xu, S.H.[Sheng-Hua],
Zhao, Y.Y.[Yang-Yang],
An Extended Semi-Supervised Regression Approach with Co-Training and
Geographical Weighted Regression: A Case Study of Housing Prices in
Beijing,
IJGI(5), No. 1, 2016, pp. 4.
DOI Link
1602
BibRef
Donnat, P.[Philippe],
Marti, G.[Gautier],
Very, P.[Philippe],
Toward a generic representation of random variables for machine
learning,
PRL(70), No. 1, 2016, pp. 24-31.
Elsevier DOI
1602
Financial time series
BibRef
Cao, N.,
Brahma, S.,
Varshney, P.K.,
Optimal Auction Design With Quantized Bids,
SPLetters(23), No. 11, November 2016, pp. 1518-1522.
IEEE DOI
1609
commerce
BibRef
Lee, E.J.[Eun-Jin],
Kwon, J.M.[Jung-Min],
Effects of money simulation application on persons with intellectual
disabilities with money transaction difficulties,
IJCVR(6), No. 3, 2016, pp. 253-260.
DOI Link
1608
BibRef
Zhao, F.[Feng],
Zhang, Y.[Yuyi],
Chen, H.B.[Hong-Bin],
Withdrawn: Multimodal data analysis and integration for multi-slot
spectrum auction based on Deep Feedforward Network,
PR(72), No. 1, 2017, pp. 466-472.
Elsevier DOI
1708
BibRef
And:
Withdrawn - premature publication.
PR(76), No. 1, 2018, pp. 765.
Elsevier DOI
1801
Multimodal data analysis and integration
BibRef
Hendricks, D.[Dieter],
Using real-time cluster configurations of streaming asynchronous
features as online state descriptors in financial markets,
PRL(97), No. 1, 2017, pp. 21-28.
Elsevier DOI
1709
Online, learning
BibRef
Bicego, M.,
Farinelli, A.,
Grosso, E.,
Paolini, D.,
Ramchurn, S.D.,
On the distinctiveness of the electricity load profile,
PR(74), No. 1, 2018, pp. 317-325.
Elsevier DOI
1711
Energy, market
BibRef
Xiao, Y.X.[Yi-Xiong],
Chen, X.[Xiang],
Li, Q.A.[Qi-Ang],
Yu, X.[Xi],
Chen, J.[Jin],
Guo, J.[Jing],
Exploring Determinants of Housing Prices in Beijing:
An Enhanced Hedonic Regression with Open Access POI Data,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Lewandowska-Gwarda, K.[Karolina],
Geographically Weighted Regression in the Analysis of Unemployment in
Poland,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link
1801
BibRef
Yang, P.Y.[Pei-Yi],
Lai, Z.R.[Zhao-Rong],
Wu, X.T.[Xiao-Tian],
Fang, L.D.[Liang-Da],
Trend representation based log-density regularization system for
portfolio optimization,
PR(76), No. 1, 2018, pp. 14-24.
Elsevier DOI
1801
Trend representation
BibRef
Gómez, J.A.[Jon Ander],
Arévalo, J.[Juan],
Paredes, R.[Roberto],
Nin, J.[Jordi],
End-to-end neural network architecture for fraud scoring in card
payments,
PRL(105), 2018, pp. 175-181.
Elsevier DOI
1804
Fraud detection, Credit card payments, Deep learning, Neural networks
BibRef
Ceh, M.[Marjan],
Kilibarda, M.[Milan],
Lisec, A.[Anka],
Bajat, B.[Branislav],
Estimating the Performance of Random Forest versus Multiple
Regression for Predicting Prices of the Apartments,
IJGI(7), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Paulin, J.,
Calinescu, A.,
Wooldridge, M.,
Agent-Based Modeling for Complex Financial Systems,
IEEE_Int_Sys(33), No. 2, March 2018, pp. 74-82.
IEEE DOI
1806
Adaptation models, Biological system modeling, Computer crashes,
Economics, Financial management, Investment, financial,
simulation modeling and visualization
BibRef
Tiamaz, Y.,
Souissi, N.,
Classification of the lean implementation procedures for improving
the business processes,
ISCV18(1-6)
IEEE DOI
1807
business data processing, business process re-engineering,
lean production, pattern classification, Classification,
Tools
BibRef
Ma, K.,
Wang, C.,
Yang, J.,
Hua, C.,
Guan, X.,
Pricing Mechanism With Noncooperative Game and Revenue Sharing
Contract in Electricity Market,
Cyber(49), No. 1, January 2019, pp. 97-106.
IEEE DOI
1901
Games, Supply chains, Companies, Contracts, Load management,
Load forecasting, Electricity supply industry,
revenue sharing contract (RSC)
BibRef
Brackin, R.C.[Roger C.],
Jackson, M.J.[Michael J.],
Leyshon, A.[Andrew],
Morley, J.G.[Jeremy G.],
Taming Disruption? Pervasive Data Analytics, Uncertainty and Policy
Intervention in Disruptive Technology and its Geographic Spread,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Hu, X.B.[Xian-Biao],
Zhu, X.Y.[Xiao-Yu],
Ma, Y.L.[Yu-Luen],
Chiu, Y.C.[Yi-Chang],
Tang, Q.[Qing],
Advancing usage-based insurance:
A contextual driving risk modelling and analysis approach,
IET-ITS(13), No. 3, March 2019, pp. 453-460.
DOI Link
1903
BibRef
Cai, Z.Q.[Zhao-Quan],
Chen, G.C.[Guang-Cai],
Xing, L.N.[Li-Ning],
Yang, J.H.[Jing-Hui],
Tan, X.[Xu],
Evaluating hedge fund downside risk using a multi-objective neural
network,
JVCIR(59), 2019, pp. 433-438.
Elsevier DOI
1903
Downside risk evaluation, Big data hedge fund, Multi-objective neural network
BibRef
Ma, D.F.[Dong-Fang],
Li, W.J.[Wen-Jing],
Song, X.[Xiang],
Wang, Y.H.[Yin-Hai],
Zhang, W.B.[Wei-Bin],
Time-of-day breakpoints optimisation through recursive time series
partitioning,
IET-ITS(13), No. 4, April 2019, pp. 683-692.
DOI Link
1903
BibRef
Liu, C.Y.[Cheng-Yong],
Chiou, L.J.[Ling-Jan],
Li, C.C.[Cheng-Chung],
Ye, X.W.[Xiu-Wen],
Analysis of Beijing Tianjin Hebei regional credit system from the
perspective of big data credit reporting,
JVCIR(59), 2019, pp. 300-308.
Elsevier DOI
1903
SVM, Information asymmetry, Convolution neural network,
Decision tree, Credit investigation
BibRef
Adamiak, C.[Czeslaw],
Szyda, B.[Barbara],
Dubownik, A.[Anna],
García-Álvarez, D.[David],
Airbnb Offer in Spain: Spatial Analysis of the Pattern and
Determinants of Its Distribution,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Tripathi, V.[Vikas],
Mittal, A.[Ankush],
Gangodkar, D.[Durgaprasad],
Kanth, V.[Vishnu],
Real time security framework for detecting abnormal events at ATM
installations,
RealTimeIP(16), No. 2, April 2019, pp. 535-545.
Springer DOI
1904
BibRef
Herrera Silva, J.A.[Juan A.],
Barona López, L.I.[Lorena Isabel],
Valdivieso Caraguay, Á.L.[Ángel Leonardo],
Hernández-Álvarez, M.[Myriam],
A Survey on Situational Awareness of Ransomware Attacks:
Detection and Prevention Parameters,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Shen, W.[Wei],
Qin, Y.C.[Yao-Chen],
Xie, Z.X.[Zhi-Xiang],
Research on the Spatial Features of the E-Retailing-Economic Linkages
at County Level: A Case Study for Zhejiang Province, China,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Garcia, C.[Cristiano],
Esmin, A.[Ahmed],
Leite, D.[Daniel],
krjanc, I.[Igor],
Evolvable fuzzy systems from data streams with missing values: With
application to temporal pattern recognition and cryptocurrency
prediction,
PRL(128), 2019, pp. 278-282.
Elsevier DOI
1912
Temporal pattern recognition, On-line algorithm,
Real-time system, Fuzzy system, Machine learning
BibRef
Arevalillo, J.M.[Jorge M.],
Model Based Recursive Partitioning for Customized Price Optimization
Analytics,
IbPRIA19(I:113-124).
Springer DOI
1910
BibRef
Cheng, D.,
Niu, Z.,
Tu, Y.,
Zhang, L.,
Prediction Defaults for Networked-guarantee Loans,
ICPR18(361-366)
IEEE DOI
1812
Predictive models, Contracts, Training, Feature extraction,
Prediction algorithms, Economics
BibRef
wang, X.,
Li, P.,
Hawbani, A.,
An Efficient Budget Allocation Algorithm for Multi-Channel
Advertising,
ICPR18(886-891)
IEEE DOI
1812
Resource management, Advertising, Decision making, Optimization,
Space exploration, Approximation algorithms,
reinforcement learning
BibRef
Tsang, G.,
Deng, J.,
Xie, X.,
Recurrent Neural Networks for Financial Time-Series Modelling,
ICPR18(892-897)
IEEE DOI
1812
Wavelet transforms, Hidden Markov models, Predictive models,
Logic gates, Time series analysis, Indexes, Support vector machines
BibRef
Nabil, M.,
Ismail, M.,
Mahmoud, M.,
Shahin, M.,
Qaraqe, K.,
Serpedin, E.,
Deep Recurrent Electricity Theft Detection in AMI Networks with
Random Tuning of Hyper-parameters,
ICPR18(740-745)
IEEE DOI
1812
Detectors, Energy consumption, Computer crime, Training,
Smart meters, Support vector machines, Data models,
deep machine learning
BibRef
Kokaki, Y.,
Tawara, N.,
Kobayashi, T.,
Hashimoto, K.,
Ogawa, T.,
Sequential Fish Catch Forecasting Using Bayesian State Space Models,
ICPR18(776-781)
IEEE DOI
1812
aquaculture, Bayes methods, fishing industry, Monte Carlo methods,
parameter estimation, state-space methods,
Industries
BibRef
Luo, Z.,
Chen, J.,
Cai, X.J.,
Tanaka, K.,
Takiguchi, T.,
Kinkyo, T.,
Hamori, S.,
Oil Price Forecasting Using Supervised GANs with Continuous Wavelet
Transform Features,
ICPR18(830-835)
IEEE DOI
1812
Oils, Continuous wavelet transforms, Forecasting, Predictive models
BibRef
Karpio, K.[Krzysztof],
Lukasiewicz, P.[Piotr],
Pattern Recognition in Financial Data Using Association Rule,
ICCVG18(512-521).
Springer DOI
1810
BibRef
Cui, L.X.[Li-Xin],
Bai, L.[Lu],
Rossi, L.[Luca],
Zhang, Z.H.[Zhi-Hong],
Jiao, Y.H.[Yu-Hang],
Hancock, E.R.[Edwin R.],
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial
Networks Using Graph Kernels,
SSSPR18(237-247).
Springer DOI
1810
BibRef
Jiao, Y.H.[Yu-Hang],
Cui, L.X.[Li-Xin],
Bai, L.[Lu],
Wang, Y.[Yue],
Analyzing Time Series from Chinese Financial Market Using a Linear-Time
Graph Kernel,
SSSPR18(227-236).
Springer DOI
1810
BibRef
Mouhib, N.,
Bah, S.,
Berrado, A.,
The viable system model driven the organization and the information
system design,
ISCV18(1-6)
IEEE DOI
1807
project management, software development management,
software engineering, VSM, information system design,
Viable System Model
BibRef
Benany, E.,
Beqqali, E.,
Choreography for interoperability in the e-Government applications,
ISCV18(1-4)
IEEE DOI
1807
Web services, XML, government data processing, open systems,
Web services, XML specification, business process engines,
e-Government
BibRef
Sellamy, K.,
Fakhri, Y.,
Boulaknadel, S.,
Moumen, A.,
Hafed, K.,
Jamil, H.,
Lakhrissi, Y.,
Web mining techniques and applications: Literature review and a
proposal approach to improve performance of employment for young
graduate in Morocco,
ISCV18(1-5)
IEEE DOI
1807
Internet, data mining, algorithms, commercial information,
literature review, web data mining, web pages, Java, Linux, Tools,
web usages mining
BibRef
Hafed, K.,
Fakhri, Y.,
Boulaknadel, S.,
Moumen, A.,
Jamil, H.,
Aghoutane, B.,
Decisional information systems of the public actors in Moroccan Oasis
Zones: Case study Draa-Tafilalet region: Towards a descriptive
approach and a measurement of qualities and performances,
ISCV18(1-4)
IEEE DOI
1807
business data processing, competitive intelligence,
decision making, information systems, Draa-Tafilalet region,
Public Administration
BibRef
Lamghari, Z.,
Radgui, M.,
Saidi, R.,
Rahmani, M.D.,
A set of indicators for BPM life cycle improvement,
ISCV18(1-8)
IEEE DOI
1807
business data processing, business process re-engineering,
data mining, BPIM, BPM life cycle improvement,
Process Mining
BibRef
Bessane, S.F.,
Camara, M.S.,
Fall, I.,
Bah, A.,
Causal model of performance measurement systems by combining
qualitative and quantitative models for robust results,
ISCV18(1-7)
IEEE DOI
1807
business data processing, data acquisition,
innovation management, SMP, causal model, data collection,
quantitative
BibRef
El Hachami, K.,
Tkiouat, M.,
An approach for modeling the economy as a complex system using
agent-based theory,
ISCV18(1-6)
IEEE DOI
1807
economics, multi-agent systems, agent-based theory, complex system,
economic activities, economic agents, economic changes,
interactions
BibRef
Alaoui, Y.L.,
Tkiouat, M.,
Developing a decision making support tool for planning customer
satisfaction strategies in microfinance industry,
ISCV18(1-7)
IEEE DOI
1807
belief networks, customer satisfaction, decision making,
decision support systems, stock markets, Bayesian networks, MFI,
Microfinance institutions
BibRef
Elsaid, H.,
Thomas, G.,
Williams, D.,
Texture features based on the use of the hough transform and income
inequality metrics,
IPTA17(1-6)
IEEE DOI
1804
Hough transforms, feature extraction, image classification,
image colour analysis, image segmentation, image texture,
income inequality
BibRef
Siew, L.W.[Lam Weng],
Wai, C.J.[Chen Jia],
Hoe, L.W.[Lam Weng],
Data Driven Decision Analysis in Bank Financial Management with Goal
Programming Model,
IVIC17(681-689).
Springer DOI
1711
BibRef
Ghosh, I.[Indranil],
Sanyal, M.K.[Manas K.],
Jana, R.K.,
Analysis of Causal Interactions and Predictive Modelling of Financial
Markets Using Econometric Methods, Maximal Overlap Discrete Wavelet
Transformation and Machine Learning: A Study in Asian Context,
PReMI17(664-672).
Springer DOI
1711
BibRef
ZhiYuan, C.[Chen],
Khoa, L.D.V.[Le Dinh Van],
Boon, L.S.[Lee Soon],
A Hybrid Model of Differential Evolution with Neural Network on Lag
Time Selection for Agricultural Price Time Series Forecasting,
IVIC17(155-167).
Springer DOI
1711
BibRef
Jumin, J.[Johnlee],
Ijab, M.T.[Mohamad Taha],
Zaman, H.B.[Halimah Badioze],
An Integrated Social Media Trading Platform for B40 Social Media
Entrepreneurship,
IVIC17(112-119).
Springer DOI
1711
BibRef
Hoe, L.W.[Lam Weng],
Siew, L.W.[Lam Weng],
Fai, L.K.[Liew Kah],
Improvement on the Efficiency of Technology Companies in Malaysia with
Data Envelopment Analysis Model,
IVIC17(19-30).
Springer DOI
1711
BibRef
Ya'acob, S.[Suraya],
Ali, N.M.[Nazlena Mohamad],
Liang, H.N.[Hai-Ning],
Zainuddin, N.M.[Norziha Megat],
Nayan, N.S.M.[Nor Shita Mat],
Visualization Principles for Facilitating Strategy Development Process
in the Organization,
IVIC17(31-42).
Springer DOI
1711
BibRef
Akkiyat, I.[Ikram],
Souissi, N.[Nissrine],
Improvement view: Extension of seven views approach,
ISCV17(1-5)
IEEE DOI
1710
Biological system modeling, Data models, Organizations,
Stakeholders, BPM, Intelligent cycle, PDCA,
Process improvement, Seven Views
BibRef
Chouiekh, A.,
Haj, E.H.I.E.,
Machine learning techniques applied to prepaid subscribers:
Case study on the telecom industry of Morocco,
ISCV17(1-8)
IEEE DOI
1710
Boosting, Classification algorithms, Feature extraction,
BibRef
Daghouri, A.,
Mansouri, K.,
Qbadou, M.,
Towards a decision support system, based on the systemic and
multi-agent approaches for organizational performance evaluation of a
risk management unit: Banks case,
ISCV17(1-8)
IEEE DOI
1710
Banking, Decision making, Decision support systems, Organizations,
Risk management, Unified modeling language,
Organizational performance, Systemic, thinking
BibRef
El Hajjami, S.[Salma],
Berrada, M.[Mohammed],
Harti, M.[Mostafa],
Diallo, G.[Gayo],
Towards an agent-based approach for multidimensional analyses of
semantic web data,
ISCV17(1-6)
IEEE DOI
1710
competitive intelligence, multi-agent systems.
BibRef
Ikrame, B.,
Aziza, A.,
Mourad, P.O.,
Customer experience in a regulated telecom market from mobile service
users perspective,
ISCV17(1-8)
IEEE DOI
1710
mobile communication, statistical analysis,
BibRef
McCluskey, J.,
Liu, J.G.[Jian-Guo],
US financial market forecasting using data classification with
features from global markets,
ICIVC17(965-969)
IEEE DOI
1708
Predictive models, NASDAQ, data classification,
financial market forecasting, gradient boosting, support, vector, machines
BibRef
Yang, W.D.[Wen-Dong],
Lou, Z.Z.[Zheng-Zheng],
Ji, B.[Bo],
A multi-factor analysis model of quantitative investment based on GA
and SVM,
ICIVC17(1152-1155)
IEEE DOI
1708
Genetic algorithms, Prediction algorithms, Predictive models,
Support vector machines, GA, SVM, feature weighting, investment,
multi-factor, model
BibRef
Yu, Y.[Yawen],
Wang, S.S.[Shan-Shan],
Zhang, L.J.[Li-Jun],
Stock price forecasting based on BP neural network model of network
public opinion,
ICIVC17(1058-1062)
IEEE DOI
1708
Analytical models, Forecasting, Internet, Investment, Training,
BP neural network, network public opinion, stock price forecast,
text, analysis
BibRef
Zeng, J.Y.[Jun-Ya],
Lin, J.B.[Jian-Bang],
Wang, T.[Tian],
A new competing risks model for predicting prepayment and default
using data mining,
ICIVC17(985-989)
IEEE DOI
1708
Testing, Training, competing risks model, data mining, default,
logistic regression, microfinance, prepayment
BibRef
Cui, L.X.[Li-Xin],
Bai, L.[Lu],
Wang, Y.[Yue],
Bai, X.[Xiao],
Zhang, Z.H.[Zhi-Hong],
Hancock, E.R.[Edwin R.],
P2P Lending Analysis Using the Most Relevant Graph-Based Features,
SSSPR16(3-14).
Springer DOI
1611
BibRef
Pinheiro do Nascimento, T.,
Labidi, S.,
Neto, P.B.,
Timbó, N.,
Almeida, A.,
A system based on genetic algorithms as a decision making support for
the purchase and sale of assets at Sao Paulo Stock Exchange,
ICCVIA15(1-6)
IEEE DOI
1603
decision making
BibRef
Yang, F.[Fan],
Zhang, J.J.[Jiang-Jun],
Bullish-bearish-based neural network stock trading decision
supportano its application in Hong Kong stock market,
ICWAPR15(179-184)
IEEE DOI
1511
generalisation (artificial intelligence)
BibRef
Dhamotharan, L.,
Ismail, M.T.,
Ignatius, J.,
Xue, P.X.[Peng-Xiang],
Exchange rate and interest rate differential:
A conundrum re-examined via wavelet analysis,
ICWAPR15(75-80)
IEEE DOI
1511
discrete wavelet transforms
BibRef
Podsiadlo, M.[Mariusz],
Rybinski, H.[Henryk],
Application of Fuzzy Rough Sets to Financial Time Series Forecasting,
PReMI15(397-406).
Springer DOI
1511
BibRef
Letchford, A.[Adrian],
Gao, J.B.[Jun-Bin],
Zheng, L.[Lihong],
Smoothing Security Prices,
ICPR14(1037-1042)
IEEE DOI
1412
Correlation
BibRef
Becerra-Gavińo, G.[Gustavo],
Barbosa-Santillán, L.I.[Liliana Ibeth],
Neuro-Fuzzy Data Mining Mexico's Economic Data,
CIARP14(645-657).
Springer DOI
1411
BibRef
Hossain, A.[Altaf],
Zaman, F.[Faisal],
Nasser, M.,
Islam, M.M.[M. Mufakhkharul],
Comparison of GARCH, Neural Network and Support Vector Machine in
Financial Time Series Prediction,
PReMI09(597-602).
Springer DOI
0912
BibRef
Yang, Q.[Qi],
Gan, X.Y.[Xiao-Yu],
Li, J.L.[Jian-Long],
Yang, F.[Feng],
Simulation of Urbanization Development Using Cellular Automata Model to
Inform Urban Planning Policy in Zhangjagang Region, China,
CISP09(1-5).
IEEE DOI
0910
BibRef
Huang, Q.H.[Qing-Hua],
Lu, M.[Minhua],
Evolutionary Discovery of Co-Movement Patterns Among Foreign Currencies,
CISP09(1-5).
IEEE DOI
0910
BibRef
Kajdanowicz, T.[Tomasz],
Kazienko, P.[Przemyslaw],
Prediction of Sequential Values for Debt Recovery,
CIARP09(337-344).
Springer DOI
0911
BibRef
Feng, W.L.[Wen-Lan],
Zhou, W.C.[Wan-Cun],
Landscape Characteristic and its Socio-Economic Drivers Based on RS/GIS
in Cheng-Yu Economic Zone, China,
CISP09(1-6).
IEEE DOI
0910
BibRef
Nakajima, T.[Tatsuo],
Kimura, H.[Hiroaki],
Yamabe, T.[Tetsuo],
Lehdonvirta, V.[Vili],
Takayama, C.[Chihiro],
Shiraishi, M.[Miyuki],
Washio, Y.[Yasuyuki],
Using Aesthetic and Empathetic Expressions to Motivate Desirable
Lifestyle,
SSC08(220-234).
Springer DOI
0810
BibRef
Zhao, H.V.[H. Vicky],
Lin, W.S.[W. Sabrina],
Liu, K.J.R.[K. J. Ray],
Game-theoretic analysis of maximum-payoff multiuser collusion,
ICIP08(1276-1279).
IEEE DOI
0810
BibRef
Bicego, M.[Manuele],
Grosso, E.[Enrico],
Otranto, E.[Edoardo],
A Hidden Markov Model Approach to Classify and Predict the Sign of
Financial Local Trends,
SSPR08(852-861).
Springer DOI
0812
BibRef
Jun, T.[Tang],
A Peer Dataset Comparison Outlier Detection Model Applied to Financial
Surveillance,
ICPR06(IV: 900-903).
IEEE DOI
0609
BibRef
Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Time Series Analysis, One-D Waveform Analysis, One-D Signals .