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Tourism demand forecasting: A deep learning approach Journal article
Annals of Tourism Research, 2019,Volume: 75,Page: 410-423
Authors:  Law,Rob;  Li,Gang;  Fong,Davis Ka Chio;  Han,Xin
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Attention Mechanism  Deep Learning  Feature Engineering  Lag Order  Long-short-term-memory  Tourism Demand Forecasting  
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  
Modelling and Trading the English and German Stock Markets with Novelty Optimization Techniques Journal article
JOURNAL OF FORECASTING, 2017,Volume: 36,Issue: 8,Page: 974-988
Authors:  Karathanasopoulos, Andreas;  Mitra, Sovan;  Skindilias, Konstantinos;  Lo, Chia Chun
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particle swarm optimization  radial basis function  confirmation filters  FTSE 100  DAX 30day trading  
Simultaneous determination of components with wide polarity and content ranges in Cistanche tubulosa using serially coupled reverse phase-hydrophilic interaction chromatography-tandem mass spectrometry Journal article
JOURNAL OF CHROMATOGRAPHY A, 2017,Volume: 1501,Page: 39-50
Authors:  Yan, Yu;  Song, Qingqing;  Chen, Xiaojia;  Li, Jun;  Li, Peng;  Wang, Yitao;  Liu, Tongxiang;  Song, Yuelin;  Tu, Pengfei
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Cistanche Tubulosa  Wide Polarity Span  Upper Limit Of Quantitation  Serially Coupled Reverse Phase-hydrophilic  Interaction Chromatography  Simultaneous Determination  
Resting and initial beta amplitudes predict learning ability in beta/theta ratio neurofeedback training in healthy young adults Journal article
Frontiers in Human Neuroscience, 2015,Volume: 9,Issue: DEC
Authors:  Nan W.;  Wan F.;  Vai M.I.;  Da Rosa A.C.
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Beta/theta Ratio  Learning Indices  Neurofeedback Training  Prediction  Self-regulation  
Resting alpha activity predicts learning ability in alpha neurofeedback Journal article
Frontiers in Human Neuroscience, 2014,Volume: 8,Issue: JULY
Authors:  Wan F.;  Nan W.;  Vai M.I.;  Rosa A.
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Alpha Band  Learning Ability  Neurofeedback  Prediction  Resting Baseline  
Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 6,Page: 1217
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Wang F.-Y.
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Consensus control  Lyapunov-Krasovskii functional  Neural networks (NNS)  Nonlinear multiagent systems  Time delay  
Computational intelligence techniques for building transparent construction performance models Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Authors:  Chen L.;  Pedrycz W.;  Chen P.
Favorite  |  View/Download:0/0  |  Submit date:2019/02/13