LEADER 03345nam 2200553 450 001 9910464234503321 005 20200520144314.0 010 $a0-231-53705-0 035 $a(CKB)2670000000518465 035 $a(EBL)1603591 035 $a(SSID)ssj0001112317 035 $a(PQKBManifestationID)12460018 035 $a(PQKBTitleCode)TC0001112317 035 $a(PQKBWorkID)11161150 035 $a(PQKB)11178349 035 $a(MiAaPQ)EBC1603591 035 $a(Au-PeEL)EBL1603591 035 $a(CaPaEBR)ebr10839372 035 $a(CaONFJC)MIL609518 035 $a(OCoLC)870244581 035 $a(EXLCZ)992670000000518465 100 $a20140306h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn improbable life $emy sixty years at Columbia and other adventures /$fMichael I. Sovern ; cover design by Catherine Casiliano 210 1$a[New York, New York] :$cA Columbia University Publication,$d2014. 210 4$dİ2014 215 $a1 online resource (325 p.) 300 $aIncludes index. 311 $a0-231-16762-8 327 $aTable of Contents; List of Illustrations; Foreword by Walter F. Mondale; Foreword by Lee C. Bollinger; 1. A Shared Story; 2. Riot; 3. Rebuilding; 4. Aftermath; 5. Condoms and Wrinkle Cream; 6. Becoming a Dean; 7. Litigating: Tuskegee and the Supreme Court; 8. Provost; 9. Building an Administration; 10. Beginnings; 12. Columbia College; 12. Columbia Law School; 13. Minnesota; 14. Coming Home; 15. Publishing and Moonlighting; 16. Climbing Out of a Hole; 17. Ceremonies; 18. Doing the Right Thing: Coeducation, Charter Revision, and Columbia Football; 19. The Pulitzer Prizes 327 $a20. Reagan Versus Mondale 21. Disappointing My Peers: Divestiture and Earmarks; 22. City Corruption and Columbia Unrest; 23. A Sabbatical Leave and a Return to Celebrations; 24. Remembering Malcolm X and Working with the Community; 25. International Guests, Anniversaries, Dedications, and a New Campaign; 26. Closing a School; 27. Salman Rushdie at Risk; 28. Hail and Farewell; 29. The Last Year; 30. A Backward Glance; 31. There Is Life After a Presidency; 32. Shubert-a Great Gig; 33. Almost a Justice; 34. Sotheby's; 35. America's Challenge; 36. What Next?; Acknowledgments; Notes; Index 330 $aColumbia University began the second half of the twentieth century in decline, bottoming out with the student riots of 1968. Yet by the close of the century, the institution had regained its stature as one of the greatest universities in the world.According to the New York Times, ?If any one person is responsible for Columbia's recovery, it is surely Michael Sovern." In this memoir, Sovern, who served as the university's president from 1980 to 1993, recounts his sixty-year involvement with the institution, as well as his experiences growing up poor in the South Bronx and attending 606 $aCollege presidents$zUnited States$vBiography 608 $aElectronic books. 615 0$aCollege presidents 676 $a378.0092 700 $aSovern$b Michael I$0904621 701 $aCasiliano$b Catherine$0904622 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464234503321 996 $aAn improbable life$92022951 997 $aUNINA LEADER 03813nam 2200949z- 450 001 9910566475403321 005 20220506 035 $a(CKB)5680000000037625 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81101 035 $a(oapen)doab81101 035 $a(EXLCZ)995680000000037625 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine Learning for Biomedical Application 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (198 p.) 311 08$a3-0365-3445-8 311 08$a3-0365-3446-6 330 $aBiomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue "Machine Learning for Biomedical Application", briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images. 606 $aResearch & information: general$2bicssc 610 $aall convolutional network (ACN) 610 $aAmyotrophic Lateral Sclerosis (ALS) 610 $abatch normalization (BN) 610 $ablindness 610 $acephalometric landmark 610 $aCNN 610 $acomputed tomography 610 $acomputer vision 610 $acomputer-aided diagnosis 610 $aCT images 610 $adeep learning 610 $adepthwise separable convolution (DSC) 610 $adisease prediction 610 $adynamic contrast-enhanced MRI 610 $aECG 610 $aEEG 610 $aelectrocardiogram (ECG) 610 $aelectronic human-machine interface 610 $aElectronic Medical Record (EMR) 610 $aEMG 610 $aensemble convolutional neural network (ECNN) 610 $agesture recognition 610 $aglomerular filtration rate 610 $aHRV signals 610 $aIMU 610 $ainertial sensors 610 $ainstance segmentation 610 $aintracranial hemorrhage 610 $akidney perfusion 610 $alung cancer 610 $aMIT-BIH database 610 $amulti-layer perceptron 610 $an/a 610 $aobstructive sleep disorder 610 $aovernight polysomnogram 610 $aparameter estimation 610 $apharmacokinetic modeling 610 $apulmonary fibrosis 610 $aradiotherapy 610 $arandom forest 610 $aregistration 610 $aresidual learning 610 $aResNet 610 $aretinal blood vessel image 610 $asemantic gap 610 $asleep disorder 610 $aU-shaped neural network 610 $aweighted Jaccard index (WJI) 610 $aX-ray 615 7$aResearch & information: general 700 $aStrzelecki$b Micha?$4edt$01319558 702 $aBadura$b Pawel$4edt 702 $aStrzelecki$b Micha?$4oth 702 $aBadura$b Pawel$4oth 906 $aBOOK 912 $a9910566475403321 996 $aMachine Learning for Biomedical Application$93033964 997 $aUNINA