Treffer 1 - 20 von 68

Selecting Directors Using Machine Learning
Erel, Isil ; Stern, Léa H. ; Tan, Chenhao ; et al.
The Review of Financial Studies, 2021 Jul 01. 34(7), 3226-3264.

Selecting Directors Using Machine Learning
National Bureau of Economic Research, Inc, NBER Chapters. :3226-3264

Dieses Ergebnis kann Gästen nicht angezeigt werden.
Login für vollen Zugriff.

Selecting Directors Using Machine Learning
[The role of boards of directors in corporate governance: A conceptual framework and survey]
Isil Erel ; Léa H Stern ; Chenhao Tan ; et al.
Society for Financial Studies, Review of Financial Studies. 34(7):3226-3264

Selecting Directors Using Machine Learning
Erel, Isil ; Stern, Lea Henny ; Tan, Chenhao ; et al.
Ohio State University, Charles A. Dice Center for Research in Financial Economics, Working Paper Series.

Selecting Directors Using Machine Learning
Isil Erel ; Léa H. Stern ; Chenhao Tan ; et al.
National Bureau of Economic Research, Inc, NBER Working Papers.

Modeling days suitable for fieldwork using machine learning, process-based, and rule-based models
Huber, Isaiah ; Wang, Lizhi ; Hatfield, Jerry L. ; et al.
In Agricultural Systems March 2023 206

The impact of foreign participation on risk-taking in Chinese commercial banks: The co-governance role of equity checks and foreign supervision
Liu, Jiasong ; Zhu, Jingyi
In Pacific-Basin Finance Journal June 2024 85

NeRF Director: Revisiting View Selection in Neural Volume Rendering
Xiao, Wenhui ; Cruz, Rodrigo Santa ; Ahmedt-Aristizabal, David ; et al.

Machine Learning Efficiency in Predicting Obstructive Coronary Artery Disease in Patients with Non-ST Elevation Acute Coronary Syndrome in the First Hours of Admission.
Tsivanyuk MM ; Shakhgeldyan KI ; Markov MA ; et al.
Publisher: Nizhegorodskai︠a︡ gosudarstvennai︠a︡ medit︠s︡inskai︠a︡ akademii︠a Country of Publication: Russia (Federation) NLM ID: 101604515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2309-995X (Electronic) Linking ISSN: 20764243 NLM ISO Abbreviation: Sovrem Tekhnologii Med Subsets: MEDLINE

Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta-analysis
Londono, Jimmy ; Ghasemi, Shohreh ; Hussain Shah, Altaf ; et al.
In The Saudi Dental Journal July 2023 35(5):487-497

Selecting Directors Using Machine Learning
Erel, Isil ; Stern, Lea Henny ; Tan, Chenhao ; et al.

Predicting Early Relapse for Patients with Multiple Myeloma through Machine Learning
Kubasch, Anne Sophie ; Grieb, Nora ; Oeser, Alexander ; et al.
In Blood 23 November 2021 138 Supplement 1:2953-2953

Evaluation of an Integrated Spectroscopy and Classification Platform for Point-of-Care Core Needle Biopsy Assessment: Performance Characteristics from Ex Vivo Renal Mass Biopsies
Keshavamurthy, Krishna Nand ; Dylov, Dmitry V. ; Yazdanfar, Siavash ; et al.
In Journal of Vascular and Interventional Radiology November 2022 33(11):1408-1415

A Machine Learning Approach Identifies a 30-Gene Model That Predicts Sensitivity to Selinexor in Multiple Myeloma
Lagana, Alessandro ; Bhalla, Sherry ; Aleman, Adolfo ; et al.
In Blood 13 November 2019 134 Supplement 1:3101-3101

Evaluating Deterioration of Tunnels Using Computational Machine Learning Algorithms.
Ahmed, Muaz O. ; Khalef, Ramy ; Ali, Gasser G. ; et al.
Journal of Construction Engineering & Management. Oct2021, Vol. 147 Issue 10, p1-14. 14p.

MDMA for Co-occurring PTSD and OUD After Childbirth
Multidisciplinary Association for Psychedelic Studies
MDMA-Assisted Therapy 6 to 12 Months After Childbirth for People With Co-occurring Opioid Use and Post Traumatic Stress Disorders
Mitchell JM, Bogenschutz M, Lilienstein A, Harrison C, Kleiman S, Parker-Guilbert K, Ot'alora G M, Garas W, Paleos C, Gorman I, Nicholas C, Mithoefer M, Carlin S, Poulter B, Mithoefer A, Quevedo S, Wells G, Klaire SS, van der Kolk B, Tzarfaty K, Amiaz R, Worthy R, Shannon S, Woolley JD, Marta C, Gelfand Y, Hapke E, Amar S, Wallach Y, Brown R, Hamilton S, Wang JB, Coker A, Matthews R, de Boer A, Yazar-Klosinski B, Emerson A, Doblin R. MDMA-assisted therapy for severe PTSD: a randomized, double-blind, placebo-controlled phase 3 study. Nat Med. 2021 Jun;27(6):1025-1033. doi: 10.1038/s41591-021-01336-3. Epub 2021 May 10.
Haight SC, Ko JY, Tong VT, Bohm MK, Callaghan WM. Opioid Use Disorder Documented at Delivery Hospitalization - United States, 1999-2014. MMWR Morb Mortal Wkly Rep. 2018 Aug 10;67(31):845-849. doi: 10.15585/mmwr.mm6731a1.
Nardou R, Lewis EM, Rothhaas R, Xu R, Yang A, Boyden E, Dolen G. Oxytocin-dependent reopening of a social reward learning critical period with MDMA. Nature. 2019 May;569(7754):116-120. doi: 10.1038/s41586-019-1075-9. Epub 2019 Apr 3.
Mithoefer MC, Feduccia AA, Jerome L, Mithoefer A, Wagner M, Walsh Z, Hamilton S, Yazar-Klosinski B, Emerson A, Doblin R. MDMA-assisted psychotherapy for treatment of PTSD: study design and rationale for phase 3 trials based on pooled analysis of six phase 2 randomized controlled trials. Psychopharmacology (Berl). 2019 Sep;236(9):2735-2745. doi: 10.1007/s00213-019-05249-5. Epub 2019 May 7.
Sessa B, Higbed L, O'Brien S, Durant C, Sakal C, Titheradge D, Williams TM, Rose-Morris A, Brew-Girard E, Burrows S, Wiseman C, Wilson S, Rickard J, Nutt DJ. First study of safety and tolerability of 3,4-methylenedioxymethamphetamine-assisted psychotherapy in patients with alcohol use disorder. J Psychopharmacol. 2021 Apr;35(4):375-383. doi: 10.1177/0269881121991792. Epub 2021 Feb 18.
Bogenschutz MP, Johnson MW. Classic hallucinogens in the treatment of addictions. Prog Neuropsychopharmacol Biol Psychiatry. 2016 Jan 4;64:250-8. doi: 10.1016/j.pnpbp.2015.03.002. Epub 2015 Mar 14.
Reiff CM, Richman EE, Nemeroff CB, Carpenter LL, Widge AS, Rodriguez CI, Kalin NH, McDonald WM; the Work Group on Biomarkers and Novel Treatments, a Division of the American Psychiatric Association Council of Research. Psychedelics and Psychedelic-Assisted Psychotherapy. Am J Psychiatry. 2020 May 1;177(5):391-410. doi: 10.1176/appi.ajp.2019.19010035. Epub 2020 Feb 26.
Winkelman M. Psychedelics as medicines for substance abuse rehabilitation: evaluating treatments with LSD, Peyote, Ibogaine and Ayahuasca. Curr Drug Abuse Rev. 2014;7(2):101-16. doi: 10.2174/1874473708666150107120011.
Meulewaeter F, De Pauw SSW, Vanderplasschen W. Mothering, Substance Use Disorders and Intergenerational Trauma Transmission: An Attachment-Based Perspective. Front Psychiatry. 2019 Oct 18;10:728. doi: 10.3389/fpsyt.2019.00728. eCollection 2019.
Danovitch I. Post-traumatic stress disorder and opioid use disorder: A narrative review of conceptual models. J Addict Dis. 2016 Jul-Sep;35(3):169-79. doi: 10.1080/10550887.2016.1168212. Epub 2016 Mar 24.
Mills KL, Lynskey M, Teesson M, Ross J, Darke S. Post-traumatic stress disorder among people with heroin dependence in the Australian treatment outcome study (ATOS): prevalence and correlates. Drug Alcohol Depend. 2005 Mar 7;77(3):243-9. doi: 10.1016/j.drugalcdep.2004.08.016.

Towards a Decision Engine for Therapeutic Optimization of Relapsed Refractory Multiple Myeloma
Cohen, Yael C. ; Zada, Mor ; Wang, Shuang-Yin ; et al.
In Blood 2 November 2023 142 Supplement 1:341-341

Movie Recommendation using Content Based Filtering
Alan Shijo ; Jetty Benjamin ; orcid:0000-0002-1110-

A classification framework using filter–wrapper based feature selection approach for the diagnosis of congenital heart failure.
Navin, K.S. ; Nehemiah, H. Khanna ; Nancy Jane, Y. ; et al.
Journal of Intelligent & Fuzzy Systems. 2023, Vol. 44 Issue 4, p6183-6218. 36p.