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Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Journal article
COGNITIVE COMPUTATION, 2018,Volume: 10,Issue: 6,Page: 908-921
Authors:  Yang, Zhi-Xin;  Tang, Lulu;  Zhang, Kun;  Wong, Pak Kin
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Elm Auto-encoder  Convolutional Neural Networks  3d Shape Recognition  Multi-view Feature Aggregation  
Toward Secure Image Denoising: A Machine Learning Based Realization Conference paper
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Calgary, CANADA, APR 15-20, 2018
Authors:  Zheng Y.;  Wang C.;  Zhou J.
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Cloud Computing  Image Denoising  Machine Learning  Neural Network  Privacy  
Elephant search algorithm applied to data clustering Conference paper
Authors:  Deb, Suash;  Tian, Zhonghuan;  Fong, Simon;  Wong, Raymond;  Millham, Richard;  Wong, Kelvin K. L.
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Data clustering  Elephant search algorithm  Meta-heuristic  Time series clustering  
Elephant search algorithm applied to data clustering Journal article
Soft Computing, 2018,Volume: 22,Issue: 18,Page: 6035-6046
Authors:  Deb S.;  Tian Z.;  Fong S.;  Wong R.;  Millham R.;  Wong K.K.L.
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Data clustering  Elephant search algorithm  Meta-heuristic  Time series clustering  
Water soluble fraction from ethanolic extract of Clausena lansium seeds alleviates obesity and insulin resistance, and changes the composition of gut microbiota in high-fat diet-fed mice Journal article
JOURNAL OF FUNCTIONAL FOODS, 2018,Volume: 47,Page: 192-199
Authors:  Shen, Shengnan;  Liao, Qiwen;  Huang, Li;  Li, Dan;  Zhang, Qingwen;  Wang, Yitao;  Lee, Simon Ming-Yuen;  Lin, Ligen
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Clausena Lansium  Fat Mass Gain  Insulin Sensitivity  Gut Microbiota  Wampee  
Uninterruptible play in virtual node-based virtual worlds Conference paper
PROCEEDINGS OF THE 10TH ACM WORKSHOP ON IMMERSIVE MIXED AND VIRTUAL ENVIRONMENT SYSTEMS (MMVE'18), Amsterdam, NETHERLANDS, JUN 12-15, 2018
Authors:  Bingqing Shen;  Jingzhi Guo
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Consistency  Fault-tolerance  Responsiveness  State Machine Replication  
Histogram of Oriented Gradient Based Plantar Pressure Image Feature Extraction and Classification Employing Fuzzy Support Vector Machine Journal article
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2018,Volume: 8,Issue: 4,Page: 842-854
Authors:  Wang, Cunlei;  Li, Zairan;  Dey, Nilanjan;  Li, Zhaochun;  Ashour, Amira S.;  Fong, Simon James;  Sherratt, R. Simon;  Wu, Lijun;  Shi, Fuqian
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Artificial Intelligence  Machine Learning Algorithms  Fuzzy Logic  Image Mining  Health Care  
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Journal article
Cell, 2018,Volume: 173,Issue: 2,Page: 338-354.e15
Authors:  Malta T.M.;  Sokolov A.;  Gentles A.J.;  Burzykowski T.;  Poisson L.;  Weinstein J.N.;  Kaminska B.;  Huelsken J.;  Omberg L.;  Gevaert O.;  Colaprico A.;  Czerwinska P.;  Mazurek S.;  Mishra L.;  Heyn H.;  Krasnitz A.;  Godwin A.K.;  Lazar A.J.;  Caesar-Johnson S.J.;  Demchok J.A.;  Felau I.;  Kasapi M.;  Ferguson M.L.;  Hutter C.M.;  Sofia H.J.;  Tarnuzzer R.;  Wang Z.;  Yang L.;  Zenklusen J.C.;  Zhang J.J.;  Chudamani S.;  Liu J.;  Lolla L.;  Naresh R.;  Pihl T.;  Sun Q.;  Wan Y.;  Wu Y.;  Cho J.;  DeFreitas T.;  Frazer S.;  Gehlenborg N.;  Getz G.;  Heiman D.I.;  Kim J.;  Lawrence M.S.;  Lin P.;  Meier S.;  Noble M.S.;  Saksena G.;  Voet D.;  Zhang H.;  Bernard B.;  Chambwe N.;  Dhankani V.;  Knijnenburg T.;  Kramer R.;  Leinonen K.;  Liu Y.;  Miller M.;  Reynolds S.;  Shmulevich I.;  Thorsson V.;  Zhang W.;  Akbani R.;  Broom B.M.;  Hegde A.M.;  Ju Z.;  Kanchi R.S.;  Korkut A.;  Li J.;  Liang H.;  Ling S.;  Liu W.;  Lu Y.;  Mills G.B.;  Ng K.-S.;  Rao A.;  Ryan M.;  Wang J.;  Weinstein J.N.;  Zhang J.;  Abeshouse A.;  Armenia J.;  Chakravarty D.;  Chatila W.K.;  de Bruijn I.;  Gao J.;  Gross B.E.;  Heins Z.J.;  Kundra R.;  La K.;  Ladanyi M.;  Luna A.;  Nissan M.G.;  Ochoa A.;  Phillips S.M.;  Reznik E.;  Sanchez-Vega F.;  Sander C.;  Schultz N.;  Sheridan R.;  Sumer S.O.;  Sun Y.;  Taylor B.S.;  Wang J.;  Zhang H.;  Anur P.;  Peto M.;  Spellman P.;  Benz C.;  Stuart J.M.;  Wong C.K.;  Yau C.;  Hayes D.N.;  Parker J.S.;  Wilkerson M.D.;  Ally A.;  Balasundaram M.;  Bowlby R.;  Brooks D.;  Carlsen R.;  Chuah E.;  Dhalla N.;  Holt R.;  Jones S.J.M.;  Kasaian K.;  Lee D.;  Ma Y.;  Marra M.A.;  Mayo M.;  Moore R.A.;  Mungall A.J.;  Mungall K.;  Robertson A.G.;  Sadeghi S.;  Schein J.E.;  Sipahimalani P.;  Tam A.;  Thiessen N.;  Tse K.;  Wong T.;  Berger A.C.;  Beroukhim R.;  Cherniack A.D.;  Cibulskis C.;  Gabriel S.B.;  Gao G.F.;  Ha G.;  Meyerson M.;  Schumacher S.E.;  Shih J.;  Kucherlapati M.H.;  Kucherlapati R.S.;  Baylin S.;  Cope L.;  Danilova L.;  Bootwalla M.S.;  Lai P.H.;  Maglinte D.T.;  Van Den Berg D.J.;  Weisenberger D.J.;  Auman J.T.;  Balu S.;  Bodenheimer T.;  Fan C.;  Hoadley K.A.;  Hoyle A.P.;  Jefferys S.R.;  Jones C.D.;  Meng S.;  Mieczkowski P.A.;  Mose L.E.;  Perou A.H.;  Perou C.M.;  Roach J.;  Shi Y.;  Simons J.V.;  Skelly T.;  Soloway M.G.;  Tan D.;  Veluvolu U.;  Fan H.;  Hinoue T.;  Laird P.W.;  Shen H.;  Zhou W.;  Bellair M.;  Chang K.;  Covington K.;  Creighton C.J.;  Dinh H.;  Doddapaneni H.;  Donehower L.A.;  Drummond J.;  Gibbs R.A.;  Glenn R.;  Hale W.;  Han Y.;  Hu J.;  Korchina V.;  Lee S.;  Lewis L.;  Li W.;  Liu X.;  Morgan M.;  Morton D.;  Muzny D.;  Santibanez J.;  Sheth M.;  Shinbrot E.;  Wang L.;  Wang M.;  Wheeler D.A.;  Xi L.;  Zhao F.;  Hess J.;  Appelbaum E.L.;  Bailey M.;  Cordes M.G.;  Ding L.;  Fronick C.C.;  Fulton L.A.;  Fulton R.S.;  Kandoth C.;  Mardis E.R.;  McLellan M.D.;  Miller C.A.;  Schmidt H.K.;  Wilson R.K.;  Crain D.;  Curley E.;  Gardner J.;  Lau K.;  Mallery D.;  Morris S.;  Paulauskis J.;  Penny R.;  Shelton C.;  Shelton T.;  Sherman M.;  Thompson E.;  Yena P.;  Bowen J.;  Gastier-Foster J.M.;  Gerken M.;  Leraas K.M.;  Lichtenberg T.M.;  Ramirez N.C.;  Wise L.;  Zmuda E.;  Corcoran N.;  Costello T.;  Hovens C.;  Carvalho A.L.;  de Carvalho A.C.;  Fregnani J.H.;  Longatto-Filho A.;  Reis R.M.;  Scapulatempo-Neto C.;  Silveira H.C.S.;  Vidal D.O.;  Burnette A.;  Eschbacher J.;  Hermes B.;  Noss A.;  Singh R.;  Anderson M.L.;  Castro P.D.;  Ittmann M.;  Huntsman D.;  Kohl B.;  Le X.;  Thorp R.;  Andry C.;  Duffy E.R.;  Lyadov V.;  Paklina O.;  Setdikova G.;  Shabunin A.;  Tavobilov M.;  McPherson C.;  Warnick R.;  Berkowitz R.;  Cramer D.;  Feltmate C.;  Horowitz N.;  Kibel A.;  Muto M.;  Raut C.P.;  Malykh A.;  Barnholtz-Sloan J.S.;  Barrett W.;  Devine K.;  Fulop J.;  Ostrom Q.T.;  Shimmel K.;  Wolinsky Y.;  Sloan A.E.;  De Rose A.;  Giuliante F.;  Goodman M.;  Karlan B.Y.;  Hagedorn C.H.;  Eckman J.;  Harr J.;  Myers J.;  Tucker K.;  Zach L.A.;  Deyarmin B.;  Hu H.;  Kvecher L.;  Larson C.;  Mural R.J.;  Somiari S.;  Vicha A.;  Zelinka T.;  Bennett J.;  Iacocca M.;  Rabeno B.;  Swanson P.;  Latour M.;  Lacombe L.;  Tetu B.;  Bergeron A.;  McGraw M.;  Staugaitis S.M.;  Chabot J.;  Hibshoosh H.;  Sepulveda A.;  Su T.;  Wang T.;  Potapova O.;  Voronina O.;  Desjardins L.;  Mariani O.;  Roman-Roman S.;  Sastre X.;  Stern M.-H.;  Cheng F.;  Signoretti S.;  Berchuck A.;  Bigner D.;  Lipp E.;  Marks J.;  McCall S.;  McLendon R.;  Secord A.;  Sharp A.;  Behera M.;  Brat D.J.;  Chen A.;  Delman K.;  Force S.;  Khuri F.;  Magliocca K.;  Maithel S.;  Olson J.J.;  Owonikoko T.;  Pickens A.;  Ramalingam S.;  Shin D.M.;  Sica G.;  Van Meir E.G.;  Zhang H.;  Eijckenboom W.;  Gillis A.;  Korpershoek E.;  Looijenga L.;  Oosterhuis W.;  Stoop H.;  van Kessel K.E.;  Zwarthoff E.C.;  Calatozzolo C.;  Cuppini L.;  Cuzzubbo S.;  DiMeco F.;  Finocchiaro G.;  Mattei L.;  Perin A.;  Pollo B.;  Chen C.;  Houck J.;  Lohavanichbutr P.;  Hartmann A.;  Stoehr C.;  Stoehr R.;  Taubert H.;  Wach S.;  Wullich B.;  Kycler W.;  Murawa D.;  Wiznerowicz M.;  Chung K.;  Edenfield W.J.;  Martin J.;  Baudin E.;  Bubley G.;  Bueno R.;  De Rienzo A.;  Richards W.G.;  Kalkanis S.;  Mikkelsen T.;  Noushmehr H.;  Scarpace L.;  Girard N.;  Aymerich M.;  Campo E.;  Gine E.;  Guillermo A.L.;  Van Bang N.;  Hanh P.T.;  Phu B.D.;  Tang Y.;  Colman H.;  Evason K.;  Dottino P.R.;  Martignetti J.A.;  Gabra H.;  Juhl H.;  Akeredolu T.;  Stepa S.;  Hoon D.;  Ahn K.;  Kang K.J.;  Beuschlein F.;  Breggia A.;  Birrer M.;  Bell D.;  Borad M.;  Bryce A.H.;  Castle E.;  Chandan V.;  Cheville J.;  Copland J.A.;  Farnell M.;  Flotte T.;  Giama N.;  Ho T.;  Kendrick M.;  Kocher J.-P.;  Kopp K.;  Moser C.;  Nagorney D.;  O'Brien D.;  O'Neill B.P.;  Patel T.;  Petersen G.;  Que F.;  Rivera M.;  Roberts L.;  Smallridge R.;  Smyrk T.;  Stanton M.;  Thompson R.H.;  Torbenson M.;  Yang J.D.;  Zhang L.;  Brimo F.;  Ajani J.A.;  Gonzalez A.M.A.;  Behrens C.;  Bondaruk J.;  Broaddus R.;  Czerniak B.;  Esmaeli B.;  Fujimoto J.;  Gershenwald J.;  Guo C.;  Lazar A.J.;  Logothetis C.;  Meric-Bernstam F.;  Moran C.;  Ramondetta L.;  Rice D.;  Sood A.;  Tamboli P.;  Thompson T.;  Troncoso P.;  Tsao A.;  Wistuba I.;  Carter C.;  Haydu L.;  Hersey P.;  Jakrot V.;  Kakavand H.;  Kefford R.;  Lee K.;  Long G.;  Mann G.;  Quinn M.;  Saw R.;  Scolyer R.;  Shannon K.;  Spillane A.;  Stretch J.;  Synott M.;  Thompson J.;  Wilmott J.;  Al-Ahmadie H.;  Chan T.A.;  Ghossein R.;  Gopalan A.;  Levine D.A.;  Reuter V.;  Singer S.;  Singh B.;  Tien N.V.;  Broudy T.;  Mirsaidi C.;  Nair P.;  Drwiega P.;  Miller J.;  Smith J.;  Zaren H.;  Park J.-W.;  Hung N.P.;  Kebebew E.;  Linehan W.M.;  Metwalli A.R.;  Pacak K.;  Pinto P.A.;  Schiffman M.;  Schmidt L.S.;  Vocke C.D.;  Wentzensen N.;  Worrell R.;  Yang H.;  Moncrieff M.;  Goparaju C.;  Melamed J.;  Pass H.;  Botnariuc N.;  Caraman I.;  Cernat M.;  Chemencedji I.;  Clipca A.;  Doruc S.;  Gorincioi G.;  Mura S.;  Pirtac M.;  Stancul I.;  Tcaciuc D.;  Albert M.;  Alexopoulou I.;  Arnaout A.;  Bartlett J.;  Engel J.;  Gilbert S.;  Parfitt J.;  Sekhon H.;  Thomas G.;  Rassl D.M.;  Rintoul R.C.;  Bifulco C.;  Tamakawa R.;  Urba W.;  Hayward N.;  Timmers H.;  Antenucci A.;  Facciolo F.;  Grazi G.;  Marino M.;  Merola R.;  de Krijger R.;  Gimenez-Roqueplo A.-P.;  Piche A.;  Chevalier S.;  McKercher G.;  Birsoy K.;  Barnett G.;  Brewer C.;  Farver C.;  Naska T.;  Pennell N.A.;  Raymond D.;  Schilero C.;  Smolenski K.;  Williams F.;  Morrison C.;  Borgia J.A.;  Liptay M.J.;  Pool M.;  Seder C.W.;  Junker K.;  Omberg L.;  Dinkin M.;  Manikhas G.;  Alvaro D.;  Bragazzi M.C.;  Cardinale V.;  Carpino G.;  Gaudio E.;  Chesla D.;  Cottingham S.;  Dubina M.;  Moiseenko F.;  Dhanasekaran R.;  Becker K.-F.;  Janssen K.-P.;  Slotta-Huspenina J.;  Abdel-Rahman M.H.;  Aziz D.;  Bell S.;  Cebulla C.M.;  Davis A.;  Duell R.;  Elder J.B.;  Hilty J.;  Kumar B.;  Lang J.;  Lehman N.L.;  Mandt R.;  Nguyen P.;  Pilarski R.;  Rai K.;  Schoenfield L.;  Senecal K.;  Wakely P.;  Hansen P.;  Lechan R.;  Powers J.;  Tischler A.;  Grizzle W.E.;  Sexton K.C.;  Kastl A.;  Henderson J.;  Porten S.;  Waldmann J.;  Fassnacht M.;  Asa S.L.;  Schadendorf D.;  Couce M.;  Graefen M.;  Huland H.;  Sauter G.;  Schlomm T.;  Simon R.;  Tennstedt P.;  Olabode O.;  Nelson M.;  Bathe O.;  Carroll P.R.;  Chan J.M.;  Disaia P.;  Glenn P.;  Kelley R.K.;  Landen C.N.;  Phillips J.;  Prados M.;  Simko J.;  Smith-McCune K.;  VandenBerg S.;  Roggin K.;  Fehrenbach A.;  Kendler A.;  Sifri S.;  Steele R.;  Jimeno A.;  Carey F.;  Forgie I.;  Mannelli M.;  Carney M.;  Hernandez B.;  Campos B.;  Herold-Mende C.;  Jungk C.;  Unterberg A.;  von Deimling A.;  Bossler A.;  Galbraith J.;  Jacobus L.;  Knudson M.;  Knutson T.;  Ma D.;  Milhem M.;  Sigmund R.;  Godwin A.K.;  Madan R.;  Rosenthal H.G.;  Adebamowo C.;  Adebamowo S.N.;  Boussioutas A.;  Beer D.;  Giordano T.;  Mes-Masson A.-M.;  Saad F.;  Bocklage T.;  Landrum L.;  Mannel R.;  Moore K.;  Moxley K.;  Postier R.;  Walker J.;  Zuna R.;  Feldman M.;  Valdivieso F.;  Dhir R.;  Luketich J.;  Pinero E.M.M.;  Quintero-Aguilo M.;  Carlotti C.G.;  Dos Santos J.S.;  Kemp R.;  Sankarankuty A.;  Tirapelli D.;  Catto J.;  Agnew K.;  Swisher E.;  Creaney J.;  Robinson B.;  Shelley C.S.;  Godwin E.M.;  Kendall S.;  Shipman C.;  Bradford C.;  Carey T.;  Haddad A.;  Moyer J.;  Peterson L.;  Prince M.;  Rozek L.;  Wolf G.;  Bowman R.;  Fong K.M.;  Yang I.;  Korst R.;  Rathmell W.K.;  Fantacone-Campbell J.L.;  Hooke J.A.;  Kovatich A.J.;  Shriver C.D.;  DiPersio J.;  Drake B.;  Govindan R.;  Heath S.;  Ley T.;  Van Tine B.;  Westervelt P.;  Rubin M.A.;  Lee J.I.;  Aredes N.D.;  Mariamidze A.;  Stuart J.M.;  Hoadley K.A.;  Laird P.W.;  Noushmehr H.;  Wiznerowicz M.
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cancer stem cells  dedifferentiation  epigenomic  genomic  machine learning  pan-cancer  stemness  The Cancer Genome Atlas  
Tackling class overlap and imbalance problems in software defect prediction Journal article
SOFTWARE QUALITY JOURNAL, 2018,Volume: 26,Issue: 1,Page: 97-125
Authors:  Chen, Lin;  Fang, Bin;  Shang, Zhaowei;  Tang, Yuanyan
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Software Defect Prediction  Class Imbalance  Class Overlap  Machine Learning  
Active power and reactive power dispatch of wind farm based on wavelet learning Journal article
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018,Volume: 9,Issue: 2,Page: 217-223
Authors:  Wang, Zengping;  Zhang, Lefeng;  Li, Guohuang;  Yang, Lina
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Wavelet analysis  Wind power curtailment  DFIG  Active power allocation  Reactive power allocation