
% Journals

% First the Full Name is given, then the abbreviation used in the AMS Math
% Reviews, with an indication if it could not be found there.
% Note the 2nd overwrites the 1st, so swap them if you want the full name.

 %{AMS}
 @string{AMSTrans = "American Mathematical Society Translations"}
 @string{AMSTrans = "Amer. Math. Soc. Transl."}
 @string{BullAMS = "Bulletin of the American Mathematical Society"}
 @string{BullAMS = "Bull. Amer. Math. Soc."}
 @string{ProcAMS = "Proceedings of the American Mathematical Society"}
 @string{ProcAMS = "Proc. Amer. Math. Soc."}
 @string{TransAMS = "Transactions of the American Mathematical Society"}
 @string{TransAMS = "Trans. Amer. Math. Soc."}

 %ACM
 @string{CACM = "Communications of the {ACM}"}
 @string{CACM = "Commun. {ACM}"}
 @string{CompServ = "Comput. Surveys"}
 @string{JACM = "J. ACM"}
 @string{ACMMathSoft = "{ACM} Transactions on Mathematical Software"}
 @string{ACMMathSoft = "{ACM} Trans. Math. Software"}
 @string{SIGNUM = "{ACM} {SIGNUM} Newsletter"}
 @string{SIGNUM = "{ACM} {SIGNUM} Newslett."}

 @string{AmerSocio = "American Journal of Sociology"}
 @string{AmerStatAssoc = "Journal of the American Statistical Association"}
 @string{AmerStatAssoc = "J. Amer. Statist. Assoc."}
 @string{ApplMathComp = "Applied Mathematics and Computation"}
 @string{ApplMathComp = "Appl. Math. Comput."}
 @string{AmerMathMonthly = "American Mathematical Monthly"}
 @string{AmerMathMonthly = "Amer. Math. Monthly"}
 @string{BIT = "{BIT}"}
 @string{BritStatPsych = "British Journal of Mathematical and Statistical
                           Psychology"}
 @string{BritStatPsych = "Brit. J. Math. Statist. Psych."}
 @string{CanMathBull = "Canadian Mathematical Bulletin"}
 @string{CanMathBull = "Canad. Math. Bull."}
 @string{CompApplMath = "Journal of Computational and Applied Mathematics"}
 @string{CompApplMath = "J. Comput. Appl. Math."}
 @string{CompPhys = "Journal of Computational Physics"}
 @string{CompPhys = "J. Comput. Phys."}
 @string{CompStruct = "Computers and Structures"}
 @string{CompStruct = "Comput. \& Structures"}
 @string{CompJour = "The Computer Journal"}
 @string{CompJour = "Comput. J."}
 @string{CompSysSci = "Journal of Computer and System Sciences"}
 @string{CompSysSci = "J. Comput. System Sci."}
 @string{Computing = "Computing"}
 @string{ContempMath = "Contemporary Mathematics"}
 @string{ContempMath = "Contemp. Math."}
 @string{Crelle = "Crelle's Journal"}
 @string{GiornaleMath = "Giornale di Mathematiche"}
 @string{GiornaleMath = "Giorn. Mat."} % didn't find in AMS MR., ibid.

 %IEEE
 @string{Computer = "{IEEE} Computer"}
 @string{IEEETransComp = "{IEEE} Transactions on Computers"}
 @string{IEEETransComp = "{IEEE} Trans. Comput."}
 @string{IEEETransAC = "{IEEE} Transactions on Automatic Control"}
 @string{IEEETransAC = "{IEEE} Trans. Automat. Control"}
 @string{IEEESpec = "{IEEE} Spectrum"} % didn't find in AMS MR
 @string{ProcIEEE = "Proceedings of the {IEEE}"}
 @string{ProcIEEE = "Proc. {IEEE}"} % didn't find in AMS MR
 @string{IEEETransAeroElec = "{IEEE} Transactions on Aerospace and Electronic
                               Systems"}
 @string{IEEETransAeroElec = "{IEEE} Trans. Aerospace Electron. Systems"}

 @string{IMANumerAna = "{IMA} Journal of Numerical Analysis"}
 @string{IMANumerAna = "{IMA} J. Numer. Anal."}
 @string{InfProcLet = "Information Processing Letters"}
 @string{InfProcLet = "Inform. Process. Lett."}
 @string{InstMathApp = "Journal of the Institute of Mathematics and its
                         Applications"}
 @string{InstMathApp = "J. Inst. Math. Appl."}
 @string{IntControl = "International Journal of Control"}
 @string{IntControl = "Internat. J. Control"}
 @string{IntNumerEng = "International Journal for Numerical Methods in
                         Engineering"}
 @string{IntNumerEng = "Internat. J. Numer. Methods Engrg."}
 @string{IntSuper = "International Journal of Supercomputing Applications"}
 @string{IntSuper = "Internat. J. Supercomputing Applic."} % didn't find
%% in AMS MR
 @string{Kibernetika = "Kibernetika"}
 @string{JResNatBurStand = "Journal of Research of the National Bureau of
                             Standards"}
 @string{JResNatBurStand = "J. Res. Nat. Bur. Standards"}
 @string{LinAlgApp = "Linear Algebra and its Applications"}
 @string{LinAlgApp = "Linear Algebra Appl."}
 @string{MathAnaAppl = "Journal of Mathematical Analysis and Applications"}
 @string{MathAnaAppl = "J. Math. Anal. Appl."}
 @string{MathAnnalen = "Mathematische Annalen"}
 @string{MathAnnalen = "Math. Ann."}
 @string{MathPhys = "Journal of Mathematical Physics"}
 @string{MathPhys = "J. Math. Phys."}
 @string{MathComp = "Mathematics of Computation"}
 @string{MathComp = "Math. Comp."}
 @string{MathScand = "Mathematica Scandinavica"}
 @string{MathScand = "Math. Scand."}
 @string{TablesAidsComp = "Mathematical Tables and Other Aids to Computation"}
 @string{TablesAidsComp = "Math. Tables Aids Comput."}
 @string{NumerMath = "Numerische Mathematik"}
 @string{NumerMath = "Numer. Math."}
 @string{PacificMath = "Pacific Journal of Mathematics"}
 @string{PacificMath = "Pacific J. Math."}
 @string{ParDistComp = "Journal of Parallel and Distributed Computing"}
 @string{ParDistComp = "J. Parallel and Distrib. Comput."} % didn't find
%% in AMS MR
 @string{ParComputing = "Parallel Computing"}
 @string{ParComputing = "Parallel Comput."}
 @string{PhilMag = "Philosophical Magazine"}
 @string{PhilMag = "Philos. Mag."}
 @string{ProcNAS = "Proceedings of the National Academy of Sciences of the USA"}
 @string{ProcNAS = "Proc. Nat. Acad. Sci. U. S. A."}
 @string{Psychometrika = "Psychometrika"}
 @string{QuartMath = "Quarterly Journal of Mathematics, Oxford, Series (2)"}
 @string{QuartMath = "Quart. J. Math. Oxford Ser. (2)"}
 @string{QuartApplMath = "Quarterly of Applied Mathematics"}
 @string{QuartApplMath = "Quart. Appl. Math."}
 @string{RevueInstStat = "Review of the International Statisical Institute"}
 @string{RevueInstStat = "Rev. Inst. Internat. Statist."}

 %SIAM
 @string{JSIAM = "Journal of the Society for Industrial and Applied Mathematics
                   "}
 @string{JSIAM = "J. Soc. Indust. Appl. Math."}
 @string{JSIAMB = "Journal of the Society for Industrial and Applied
                    Mathematics, Series B, Numerical Analysis"}
 @string{JSIAMB = "J. Soc. Indust. Appl. Math. Ser. B Numer. Anal."}
 @string{SIAMAlgMeth = "{SIAM} Journal on Algebraic and Discrete Methods"}
 @string{SIAMAlgMeth = "{SIAM} J. Algebraic Discrete Methods"}
 @string{SIAMAppMath = "{SIAM} Journal on Applied Mathematics"}
 @string{SIAMAppMath = "{SIAM} J. Appl. Math."}
 @string{SIAMComp = "{SIAM} Journal on Computing"}
 @string{SIAMComp = "{SIAM} J. Comput."}
 @string{SIAMMatrix = "{SIAM} Journal on Matrix Analysis and Applications"}
 @string{SIAMMatrix = "{SIAM} J. Matrix Anal. Appl."}
 @string{SIAMNumAnal = "{SIAM} Journal on Numerical Analysis"}
 @string{SIAMNumAnal = "{SIAM} J. Numer. Anal."}
 @string{SIAMReview = "{SIAM} Review"}
 @string{SIAMReview = "{SIAM} Rev."}
 @string{SIAMSciStat = "{SIAM} Journal on Scientific and Statistical Computing"}
 @string{SIAMSciStat = "{SIAM} J. Sci. Statist. Comput."}

 @string{SoftPracExp = "Software Practice and Experience"}
 @string{SoftPracExp = "Software Prac. Experience"} % didn't find in AMS MR
 @string{StatScience = "Statistical Science"}
 @string{StatScience = "Statist. Sci."}
 @string{Techno = "Technometrics"}
 @string{USSRCompMathPhys = "{USSR} Computational Mathematics and Mathematical
                              Physics"}
 @string{USSRCompMathPhys = "{U. S. S. R.} Comput. Math. and Math. Phys."}
 @string{VLSICompSys = "Journal of {VLSI} and Computer Systems"}
 @string{VLSICompSys = "J. {VLSI} Comput. Syst."}
 @string{ZAngewMathMech = "Zeitschrift fur Angewandte Mathematik und Mechanik"}
 @string{ZAngewMathMech = "Z. Angew. Math. Mech."}
 @string{ZAngewMathPhys = "Zeitschrift fur Angewandte Mathematik und Physik"}
 @string{ZAngewMathPhys = "Z. Angew. Math. Phys."}

% Publishers % ================================================= |

 @string{Academic = "Academic Press"}
 @string{ACMPress = "{ACM} Press"}
 @string{AdamHilger = "Adam Hilger"}
 @string{AddisonWesley = "Addison-Wesley"}
 @string{AllynBacon = "Allyn and Bacon"}
 @string{AMS = "American Mathematical Society"}
 @string{Birkhauser = "Birkha{\"u}ser"}
 @string{CambridgePress = "Cambridge University Press"}
 @string{Chelsea = "Chelsea"}
 @string{ClaredonPress = "Claredon Press"}
 @string{DoverPub = "Dover Publications"}
 @string{Eyolles = "Eyolles"}
 @string{HoltRinehartWinston = "Holt, Rinehart and Winston"}
 @string{Interscience = "Interscience"}
 @string{JohnsHopkinsPress = "The Johns Hopkins University Press"}
 @string{JohnWileySons = "John Wiley and Sons"}
 @string{Macmillan = "Macmillan"}
 @string{MathWorks = "The Math Works Inc."}
 @string{McGrawHill = "McGraw-Hill"}
 @string{NatBurStd = "National Bureau of Standards"}
 @string{NorthHolland = "North-Holland"}
 @string{OxfordPress = "Oxford University Press"}  %address Oxford or London?
 @string{PergamonPress = "Pergamon Press"}
 @string{PlenumPress = "Plenum Press"}
 @string{PrenticeHall = "Prentice-Hall"}
 @string{SIAMPub = "{SIAM} Publications"}
 @string{Springer = "Springer-Verlag"}
 @string{TexasPress = "University of Texas Press"}
 @string{VanNostrand = "Van Nostrand"}
 @string{WHFreeman = "W. H. Freeman and Co."}

%Entries
@article{solorio2020review,
 title = {A review of unsupervised feature selection methods},
 author = {Solorio-Fern{\'a}ndez, Sa{\'u}l and Carrasco-Ochoa, J Ariel and Mart{
           \'\i}nez-Trinidad, Jos{\'e} Fco},
 journal = {Artificial Intelligence Review},
 volume = {53},
 number = {2},
 pages = {907--948},
 year = {2020},
 publisher = {Springer},
}
@inproceedings{clocksin2004handwritten,
 title = {Handwritten Syriac character recognition using order structure
          invariance},
 author = {Clocksin, WF},
 booktitle = {Proceedings of the 17th International Conference on Pattern
              Recognition, 2004. ICPR 2004.},
 volume = {2},
 pages = {562--565},
 year = {2004},
 organization = {IEEE},
}
@article{reiman2020popphy,
 title = {PopPhy-CNN: a phylogenetic tree embedded architecture for
          convolutional neural networks to predict host phenotype from
          metagenomic data},
 author = {Reiman, Derek and Metwally, Ahmed A and Sun, Jun and Dai, Yang},
 journal = {IEEE journal of biomedical and health informatics},
 volume = {24},
 number = {10},
 pages = {2993--3001},
 year = {2020},
 publisher = {IEEE},
}
@article{jensen1906fonctions,
 title = {Sur les fonctions convexes et les in{\'e}galit{\'e}s entre les valeurs
          moyennes},
 author = {Jensen, Johan Ludwig William Valdemar},
 journal = {Acta mathematica},
 volume = {30},
 number = {1},
 pages = {175--193},
 year = {1906},
 publisher = {Springer},
}
@article{artstein2004solution,
 title = {Solution of Shannon’s problem on the monotonicity of entropy},
 author = {Artstein, Shiri and Ball, Keith and Barthe, Franck and Naor, Assaf},
 journal = {Journal of the American Mathematical Society},
 volume = {17},
 number = {4},
 pages = {975--982},
 year = {2004},
}
@inproceedings{zhong2011energy,
 title = {Energy-efficient tree-based indexing schemes for information retrieval
          in wireless data broadcast},
 author = {Zhong, Jiaofei and Wu, Weili and Shi, Yan and Gao, Xiaofeng},
 booktitle = {International Conference on Database Systems for Advanced
              Applications},
 pages = {335--351},
 year = {2011},
 organization = {Springer},
}
@article{zhao2018secure,
 title = {Secure and efficient product information retrieval in cloud computing},
 author = {Zhao, Ying-Si and Zeng, Qing-An},
 journal = {IEEE Access},
 volume = {6},
 pages = {14747--14754},
 year = {2018},
 publisher = {IEEE},
}
@article{xia2015secure,
 title = {A secure and dynamic multi-keyword ranked search scheme over encrypted
          cloud data},
 author = {Xia, Zhihua and Wang, Xinhui and Sun, Xingming and Wang, Qian},
 journal = {IEEE Trans. Parallel Distrib. Syst.},
 volume = {27},
 number = {2},
 pages = {340--352},
 year = {2015},
 publisher = {IEEE},
}
@article{puerto2023feature,
 title = {Feature subset selection in data-stream environments using asymmetric
          hidden Markov models and novelty detection},
 author = {Puerto-Santana, Carlos and Larra{\~n}aga, Pedro and Bielza, Concha},
 journal = {Neurocomputing},
 volume = {554},
 pages = {126641},
 year = {2023},
 publisher = {Elsevier},
}
@article{zhang2020unsupervised,
 title = {Unsupervised feature selection via adaptive graph learning and
          constraint},
 author = {Zhang, Rui and Zhang, Yunxing and Li, Xuelong},
 journal = {IEEE Transactions on Neural Networks and Learning Systems},
 volume = {33},
 number = {3},
 pages = {1355--1362},
 year = {2020},
 publisher = {IEEE},
}

@article{awotunde2021intrusion,
 title = {Intrusion detection in industrial internet of things network-based on
          deep learning model with rule-based feature selection},
 author = {Awotunde, Joseph Bamidele and Chakraborty, Chinmay and Adeniyi,
           Abidemi Emmanuel},
 journal = {Wireless communications and mobile computing},
 volume = {2021},
 pages = {1--17},
 year = {2021},
 publisher = {Hindawi Limited},
}

@article{watanabe1969knowing,
 title = {Knowing and guessing: A quantitative study of inference and
          information},
 author = {Watanabe, Satoshi},
 journal = {Wiley, New York},
 year = {1969},
}

@article{de2014feature,
 title = {Feature selection by multi-objective optimisation: Application to
          network anomaly detection by hierarchical self-organising maps},
 author = {De la Hoz, Emiro and De La Hoz, Eduardo and Ortiz, Andr{\'e}s and
           Ortega, Julio and Mart{\'\i}nez-{\'A}lvarez, Antonio},
 journal = {Knowledge-Based Systems},
 volume = {71},
 pages = {322--338},
 year = {2014},
 publisher = {Elsevier},
}
}
@article{zhu2023unsupervised,
 title = {Unsupervised feature selection through combining graph learning and
          $l_{2,0}$-norm constraint},
 author = {Zhu, Peican and Hou, Xin and Tang, Keke and Liu, Yang and Zhao,
           Yin-Ping and Wang, Zhen},
 journal = {Information Sciences},
 volume = {622},
 pages = {68--82},
 year = {2023},
 publisher = {Elsevier},
}

@inproceedings{han2015unsupervised,
 title = {Unsupervised simultaneous orthogonal basis clustering feature
          selection},
 author = {Han, Dongyoon and Kim, Junmo},
 booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern
              Recognition},
 pages = {5016--5023},
 year = {2015},
}

@article{feng2016unsupervised,
 title = {Unsupervised feature selection based on maximum information and
          minimum redundancy for hyperspectral images},
 author = {Feng, Jie and Jiao, Licheng and Liu, Fang and Sun, Tao and Zhang,
           Xiangrong},
 journal = {Pattern Recognition},
 volume = {51},
 pages = {295--309},
 year = {2016},
 publisher = {Elsevier},
}

@article{lim2021pairwise,
 title = {Pairwise dependence-based unsupervised feature selection},
 author = {Lim, Hyunki and Kim, Dae-Won},
 journal = {Pattern Recognition},
 volume = {111},
 pages = {107663},
 year = {2021},
 publisher = {Elsevier},
}

@inproceedings{faivishevsky2012unsupervised,
 title = {Unsupervised feature selection based on non-parametric mutual
          information},
 author = {Faivishevsky, Lev and Goldberger, Jacob},
 booktitle = {2012 IEEE International Workshop on Machine Learning for Signal
              Processing},
 address = {Santander, Spain},
 pages = {1--6},
 year = {2012},
 organization = {IEEE},
}

@article{yuan2021unsupervised,
 title = {Unsupervised attribute reduction for mixed data based on fuzzy rough
          sets},
 author = {Yuan, Zhong and Chen, Hongmei and Li, Tianrui and Yu, Zeng and Sang,
           Binbin and Luo, Chuan},
 journal = {Information Sciences},
 volume = {572},
 pages = {67--87},
 year = {2021},
 publisher = {Elsevier},
}

@article{yuan2021novel,
 title = {A novel unsupervised approach to heterogeneous feature selection based
          on fuzzy mutual information},
 author = {Yuan, Zhong and Chen, Hongmei and Zhang, Pengfei and Wan, Jihong and
           Li, Tianrui},
 journal = {IEEE Transactions on Fuzzy Systems},
 volume = {30},
 number = {9},
 pages = {3395--3409},
 year = {2021},
 publisher = {IEEE},
}

@inproceedings{he2006laplacian,
 title = {Laplacian score for feature selection},
 author = {He, Xiaofei and Cai, Deng and Niyogi, Partha},
 booktitle = {Advances in neural information processing systems},
 pages = {507--514},
 year = {2006},
}

@inproceedings{yang2011l2,
 title = {$l_{2,1}$-norm regularized discriminative feature selection for
          unsupervised learning},
 author = {Yang, Yi and Shen, Heng Tao and Ma, Zhigang and Huang, Zi and Zhou,
           Xiaofang},
 booktitle = {Proceedings of International Joint Conference on Artificial
              Intelligence},
 pages = {1589},
 year = {2011},
}

@inproceedings{li2012unsupervised,
 title = {Unsupervised feature selection using nonnegative spectral analysis},
 author = {Li, Zechao and Yang, Yi and Liu, Jing and Zhou, Xiaofang and Lu,
           Hanqing and others},
 booktitle = {Proceedings of the 26th Association for the Advancement of
              Artificial Intelligence},
 volume = {2},
 pages = {1026--1032},
 year = {2012},
}

@article{yan2020efficient,
 title = {An efficient unsupervised feature selection procedure through feature
          clustering},
 author = {Yan, Xuyang and Nazmi, Shabnam and Erol, Berat A and Homaifar,
           Abdollah and Gebru, Biniam and Tunstel, Edward},
 journal = {Pattern Recognition Letters},
 volume = {131},
 pages = {277--284},
 year = {2020},
 publisher = {Elsevier},
}
@article{shang2022feature,
 title = {Feature selection based on non-negative spectral feature learning and
          adaptive rank constraint},
 author = {Shang, Ronghua and Zhang, Weitong and Lu, Mengyao and Jiao, Licheng
           and Li, Yangyang},
 journal = {Knowledge-Based Systems},
 volume = {236},
 pages = {107749},
 year = {2022},
 publisher = {Elsevier},
}

@article{shannon1948mathematical,
 title = {A mathematical theory of communication},
 author = {Shannon, Claude Elwood},
 journal = {The Bell System Technical Journal},
 volume = {27},
 number = {3},
 pages = {379--423},
 year = {1948},
 publisher = {Nokia Bell Labs},
}
@article{zhang2023possibilistic,
 title = {A possibilistic information fusion-based unsupervised feature
          selection method using information quality measures},
 author = {Zhang, Pengfei and Li, Tianrui and Yuan, Zhong and Deng, Zhixuan and
           Wang, Guoqiang and Wang, Dexian and Zhang, Fan},
 journal = {IEEE Transactions on Fuzzy Systems},
 year = {2023},
 publisher = {IEEE},
}
@article{wang2022feature,
 title = {Feature selection with maximal relevance and minimal supervised
          redundancy},
 author = {Wang, Yadi and Li, Xiaoping and Ruiz, Rub{\'e}n},
 journal = {IEEE Transactions on Cybernetics},
 volume = {53},
 number = {2},
 pages = {707--717},
 year = {2022},
 publisher = {IEEE},
}
@article{hu2022feature,
 title = {Feature-specific mutual information variation for multi-label feature
          selection},
 author = {Hu, Liang and Gao, Lingbo and Li, Yonghao and Zhang, Ping and Gao,
           Wanfu},
 journal = {Information Sciences},
 volume = {593},
 pages = {449--471},
 year = {2022},
 publisher = {Elsevier},
}
@article{talukdar2018kernel,
 title = {A kernel partial least square based feature selection method},
 author = {Talukdar, Upasana and Hazarika, Shyamanta M and Gan, John Q},
 journal = {Pattern Recognition},
 volume = {83},
 pages = {91--106},
 year = {2018},
 publisher = {Elsevier},
}
@article{miao2022graph,
 title = {Graph regularized locally linear embedding for unsupervised feature
          selection},
 author = {Miao, Jianyu and Yang, Tiejun and Sun, Lijun and Fei, Xuan and Niu,
           Lingfeng and Shi, Yong},
 journal = {Pattern Recognition},
 volume = {122},
 pages = {108299},
 year = {2022},
 publisher = {Elsevier},
}
@article{lee2013feature,
 title = {Feature selection for multi-label classification using multivariate
          mutual information},
 author = {Lee, Jaesung and Kim, Dae-Won},
 journal = {Pattern Recognition Letters},
 volume = {34},
 number = {3},
 pages = {349--357},
 year = {2013},
 publisher = {Elsevier},
}
@article{wang2023outliers,
 title = {Outliers Robust Unsupervised Feature Selection for Structured Sparse
          Subspace},
 author = {Wang, Sisi and Nie, Feiping and Wang, Zheng and Wang, Rong and Li,
           Xuelong},
 journal = {IEEE Transactions on Knowledge and Data Engineering},
 year = {2023},
 publisher = {IEEE},
}
@article{luo2018feature,
 title = {Feature learning using spatial-spectral hypergraph discriminant
          analysis for hyperspectral image},
 author = {Luo, Fulin and Du, Bo and Zhang, Liangpei and Zhang, Lefei and Tao,
           Dacheng},
 journal = {IEEE transactions on cybernetics},
 volume = {49},
 number = {7},
 pages = {2406--2419},
 year = {2018},
 publisher = {IEEE},
}
@article{luo2020dimensionality,
 title = {Dimensionality reduction with enhanced hybrid-graph discriminant
          learning for hyperspectral image classification},
 author = {Luo, Fulin and Zhang, Liangpei and Du, Bo and Zhang, Lefei},
 journal = {IEEE Transactions on Geoscience and Remote Sensing},
 volume = {58},
 number = {8},
 pages = {5336--5353},
 year = {2020},
 publisher = {IEEE},
}
@inproceedings{wang2015embedded,
 title = {Embedded Unsupervised Feature Selection.},
 author = {Wang, Suhang and Tang, Jiliang and Liu, Huan},
 booktitle = {Proceedings of the 29th Association for the Advancement of
              Artificial Intelligence},
 pages = {470--476},
 year = {2015},
}
@inproceedings{cai2010unsupervised,
 title = {Unsupervised feature selection for multi-cluster data},
 author = {Cai, Deng and Zhang, Chiyuan and He, Xiaofei},
 booktitle = {Proceedings of the 16th ACM SIGKDD International conference on
              Knowledge discovery and data mining},
 pages = {333--342},
 year = {2010},
 organization = {ACM},
}
@article{karami2023unsupervised,
 title = {Unsupervised feature selection based on variance-covariance subspace
          distance},
 author = {Karami, Saeed and Saberi-Movahed, Farid and Tiwari, Prayag and
           Marttinen, Pekka and Vahdati, Sahar},
 journal = {Neural Networks},
 year = {2023},
 publisher = {Elsevier},
}
@article{villa2021utility,
 title = {Utility metric for unsupervised feature selection},
 author = {Villa, Amalia and Narayanan, Abhijith Mundanad and Van Huffel, Sabine
           and Bertrand, Alexander and Varon, Carolina},
 journal = {PeerJ Computer Science},
 volume = {7},
 pages = {e477},
 year = {2021},
 publisher = {PeerJ Inc.},
}

@inproceedings{brickley2019google,
 title = {Google Dataset Search: Building a search engine for datasets in an
          open Web ecosystem},
 author = {Brickley, Dan and Burgess, Matthew and Noy, Natasha},
 booktitle = {The World Wide Web Conference},
 pages = {1365--1375},
 year = {2019},
}

@article{lee2015mutual,
 Title = {Mutual information-based multi-label feature selection using
          interaction information},
 Author = {Lee, Jaesung and Kim, Dae-Won},
 Journal = {Expert Systems with Applications},
 Year = {2015},
 Number = {4},
 Pages = {2013--2025},
 Volume = {42},
 Publisher = {Elsevier},
}

@article{seo2019generalized,
 author = {Seo, Wangduk and Kim, Dae-Won and Lee, Jaesung},
 journal = {IEEE Access},
 title = {Generalized Information-Theoretic Criterion for Multi-Label Feature
          Selection},
 year = {2019},
 pages = {122854--122863},
 volume = {7},
 publisher = {IEEE},
}
@article{te1978nonnegative,
 title = {Nonnegative entropy measures of multivariate symmetric correlations},
 author = {Han, Te Sun},
 journal = {Information and Control},
 volume = {36},
 pages = {133--156},
 year = {1978},
 publisher = {Elsevier},
}

