Results 131 to 140 of about 23,350 (290)

From Secrecy to Clarity: Pay Transparency, Fairness, and Employee Outcomes in German Organizations

Strategic Change, EarlyView.
ABSTRACT Recent regulatory developments, particularly the revised EU Pay Transparency Directive, have reshaped debates about compensation in German organizations. This study examines the psychological implications of pay transparency, focusing on perceived fairness as a mediating resource in employees' experiences.
Henning Tirrel, Hans Rüdiger Kaufmann
wiley   +1 more source

Penerapan: Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian

Computer Science
Ujaran kebencian adalah penyebaran kebencian terhadap individu atau kelompok atas dasar suku, agama, ras, dan karakteristik lain yang dapat menimbulkan diskriminasi, kekerasan, dan konflik sosial.
Ridwan Ridwan, Eni Heni Hermaliani, Muji Ernawati   +2 more
doaj   +1 more source

Small Community Businesses in Slums: A Perspective on Kenyan Slum Networks

Strategic Change, EarlyView.
ABSTRACT Despite extensive research on networks, the relational dimensions and structures cocreated by small community businesses and cooperative societies through everyday entrepreneurship in slum neighborhoods remain undertheorized. Drawing upon 1166 small community businesses, we conceptualize the relational dimensions and structures underlying ...
Amon Simba, Yun He, Preethi Misha, Yan Wang   +3 more
wiley   +1 more source

Explainable Ensemble Learning Framework with SMOTE, SHAP and LIME for Predicting 30-Day Readmission in Diabetic Patients

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Hospital readmission among diabetic patients poses a significant burden on healthcare systems due to its frequency and associated costs. This study presents a machine learning framework for predicting 30-day readmission in diabetic patients using the ...
Joshua Pinem, Widi Astuti, Adiwijaya
doaj   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai, Jo‐Ching Wang, Wei‐Shiuan Chung, Jui‐Sheng Hsu, Shu‐Yen Lin, Ming‐Feng Hou, Ming‐Chung Chou   +6 more
wiley   +1 more source

Optimizing Decision Tree and Random Forest with Grid Search and SMOTE for Malware Classification on IoT Network Traffic

Journal of Applied Informatics and Computing
The rapid growth of the Internet of Things (IoT) has increased the risk of malware attacks, posing serious threats especially to micro, small, and medium enterprises (MSMEs) that often lack sufficient cybersecurity resources.
Muhammad Nurus Siroj, Akhmad Khanif Zyen, Gentur Wahyu Nyipto Wibowo   +2 more
doaj   +1 more source

MT-SMOTE-RadComDynamic-CM&OV

Confusion matrix and oversampling ration for MT-SMOTE in ...
Huang, Kai
core   +1 more source

Sex Differences in Fall Frequency, Risk Factors, and Outcomes in Parkinson's Disease: A Cross‐Sectional Analysis

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Female sex is an independent fall risk factor in Parkinson's disease (PD), yet sex‐specific fall patterns remain unclear. Objectives To compare sex‐specific fall risk and outcomes across PD, prodromal alpha‐synucleinopathy (PAS), and healthy controls (HC); estimate fall frequency across PD progression; and assess how sex modifies ...
Joaquin A. Vizcarra, Kat Hefter, David‐Erick Lafontant, Michael Tran Duong, Ashkan Ertefaie, Brian Litt, Dani S. Bassett, Andrew Siderowf, The Parkinson's Progression Markers Initiative, Kenneth Marek, Caroline Tanner, Tanya Simuni, Andrew Siderowf, Douglas Galasko, Lana Chahine, Christopher Coffey, Kalpana Merchant, Kathleen Poston, Roseanne Dobkin, Tatiana Foroud, Brit Mollenhauer, Dan Weintraub, Ethan Brown, Karl Kieburtz, Mark Frasier, Todd Sherer, Sohini Chowdhury, Roy Alcalay, Aleksandar Videnovic, Duygu Tosun‐Turgut, Werner Poewe, Susan Bressman, Jan Hammer, Raymond James, Ekemini Riley, John Seibyl, Leslie Shaw, David Standaert, Sneha Mantri, Nabila Dahodwala, Michael Schwarzschild, Connie Marras, Hubert Fernandez, Ira Shoulson, Helen Rowbotham, Paola Casalin, Claudia Trenkwalder, Todd Sherer, Sohini Chowdhury, Mark Frasier, Jamie Eberling, Katie Kopil, Alyssa O’Grady, Maggie McGuire Kuhl, Leslie Kirsch, Tawny Willson, Emily Flagg, Tanya Simuni, Bridget McMahon, Craig Stanley, Kim Fabrizio, Dixie Ecklund, Trevis Huff, Tatiana Foroud, Laura Heathers, Christopher Hobbick, Gena Antonopoulos, John Seibyl, Kathleen Poston, Christopher Coffey, Chelsea Caspell‐Garcia, Michael Brumm, Bioinformatics Core, Arthur Toga, Karen Crawford, Tatiana Foroud, Jan Hamer, Brit Mollenhauer, Doug Galasko, Kalpana Merchant, Andrew Singleton, Tatiana Foroud, Thomas Montine, Caroline Tanner, Carlie Tanner, Ethan Brown, Lana Chahine, Roseann Dobkin, Monica Korell, Charles Adler, Roy Alcalay, Amy Amara, Paolo Barone, Bastiaan Bloem, Kathrin Brockmann, Norbert Brüggemann, Lana Chahine, Kelvin Chou, Nabila Dahodwala, Alberto Espay, Stewart Factor, Hubert Fernandez, Michelle Fullard, Douglas Galasko, Penelope Hogarth, Shu‐Ching Hu, Michele Hu, Stuart Isaacson, Christine Klein, Rejko Krueger, Mark Lew, Zoltan Mari, Connie Marras, Maria Jose Martí, Nikolaus McFarland, Tiago Mestre, Brit Mollenhauer, Emile Moukheiber, Alastair Noyce, Wolfgang Oertel, Njideka Okubadejo, Sarah O’Shea, Rajesh Pahwa, Nicola Pavese, Werner Poewe, Ron Postuma, Giulietta Riboldi, Lauren Ruffrage, Javier Ruiz Martinez, David Russell, Marie H. Saint‐Hilaire, Neil Santos, Wesley Schlett, Ruth Schneider, Holly Shill, David Shprecher, Tanya Simuni, David Standaert, Leonidas Stefanis, Yen Tai, Caroline Tanner, Arjun Tarakad, Eduardo Tolosa, Aleksandar Videnovic, Susan Ainscough, Courtney Blair, Erica Botting, Isabella Chung, Kelly Clark, Ioana Croitoru, Kelly DeLano, Iris Egner, Fahrial Esha, May Eshel, Frank Ferrari, Victoria Kate Foster, Alicia Garrido, Madita. Grümmer, Bethzaida Herrera, Ella Hilt, Chloe Huntzinger, Raymond James, Farah Kausar, Christos Koros, Yara Krasowski, Dustin Le, Ying Liu, Taina M. Marques, Helen Mejia Santana, Sherri Mosovsky, Jennifer Mule, Philip Ng, Lauren O’Brien, Abiola Ogunleye, Oluwadamilola Ojo, Obi Onyinanya, Lisbeth Pennente, Romina Perrotti, Michael Pileggi, Ashwini Ramachandran, Deborah Raymond, Jamil Razzaque, Shawna Reddie, Kori Ribb, Kyle Rizer, Janelle Rodriguez, Stephanie Roman, Clarissa Sanchez, Cristina Simonet, Anisha Singh, Elisabeth Sittig, Angela Stovall, Bobbie Stubbeman, Alejandra Valenzuela, Catherine Wandell, Diana Willeke, Karen Williams, Dilinuer Wubuli   +197 more
wiley   +1 more source

NKX2‐1 Downstream Regulatory Structural Variants Explain a Substantial Proportion of Molecular Diagnoses in Patients With Benign Hereditary Chorea

Movement Disorders, EarlyView.
Abstract Background NKX2‐1–related disorders (NKX2‐1‐RDs) classically present with a triad of neurological, endocrine, and pulmonary manifestations, including benign hereditary chorea. However, in a fraction of patients, NKX2‐1 coding variants are not detected, and variants outside the NKX2‐1 locus have been reported.
Robin Wijngaard, Lucy Dougherty‐de Miguel, German Demidov, Galuh Astuti, Amaia Lasa‐Aranzasti, Ana Cueto‐González, Marta Correa‐Vela, Carlos Lázaro‐Hernández, Charlotte A. Haaxma, Clara D.M. van Karnebeek, David Gómez‐Andrés, Ignacio Iglesias‐Serrano, Jiddeke M. van de Kamp, Jolanda Schieving, Laura Trujillano, Marc Engelen, Beatriz Muñoz‐Cabello, Roderick P.P.W.M. Maas, Thatjana Gardeitchik, Victoria Gonzalez, Annemarie de Vreugd, Cristina Pérez‐Sanchez, Elisabet Lloveras, Erik‐Jan Kamsteeg, Maartje Pennings, Natalia Rey‐Viñets, Javier Sánchez, Ronald van Beek, Antonio Moreno‐Galdó, Lisenka E.L.M. Vissers, Kornelia Neveling, Anna Marcé‐Grau, Machteld M. Oud, Belén Pérez‐Dueñas   +33 more
wiley   +1 more source

SMOTE-D, Una versión determinista de SMOTE

, 2017
En diferentes aplicaciones prácticas es común que se presente desbalance entre clases. Este problema aparece cuando la cantidad de objetos en una clase es mucho menor que en la otra. Esta diferencia en el tamaño de las clases causa que los métodos de clasificación favorezcan a la clase con mayor cantidad de objetos (mayoritaria), produciendo un mal ...
openaire   +1 more source