„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
  El-Shahat, Doaa ; Tolba, Ahmed ; Abouhawwash, Mohamed ; Abdel-Basset, Mohamed
• Explainable AI-driven prediction of APE1 inhibitors: enhancing cancer therapy with machine learning models and feature importance analysis
  Iqbal, Aga Basit ; Masoodi, Tariq Ahmad ; Bhat, Ajaz A. ; Macha, Muzafar A. ; Assad, Assif ; Shah, Syed Zubair Ahmad
• Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning Models
  Kruschel, Sven ; Hambauer, Nico ; Weinzierl, Sven ; Zilker, Sandra ; Kraus, Mathias ; Zschech, Patrick
• Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
  Palma, Gabriel R. ; Thornberry, Conor ; Commins, Seán ; Moral, Rafael A.
• Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
  Ehteram, Mohammad ; Panahi, Fatemeh ; Ahmed, Ali Najah ; Mosavi, Amir ; El-Shafie, Ahmed 2024 Technische Universität Dresden
• Prediction of Irrigation Water Requirements for Green Beans-Based Machine Learning Algorithm Models in Arid Region
  Mokhtar, Ali ; Al-Ansari, Nadhir ; El-Ssawy, Wessam ; Graf, Renata ; Aghelpour, Pouya ; He, Hongming ; Hafez, Salma M. ; Abuarab, Mohamed
• Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
  Ankenbrand, Markus J. ; Shainberg, Liliia ; Hock, Michael ; Lohr, David ; Schreiber, Laura M. 2022 Universität Würzburg
• Machine learning models to predict myocardial infarctions from past climatic and environmental conditions
  Marien, Lennart ; Valizadeh, Mahyar ; zu Castell, Wolfgang ; Nam, Christine ; Rechid, Diana ; Schneider, Alexandra ; Meisinger, Christine ; Linseisen, Jakob ; Wolf, Kathrin ; Bouwer, Laurens M.
• Predicting overall survival in chordoma patients using machine learning models: a web-app application
  Cheng, Peng ; Xie, Xudong ; Knoedler, Samuel ; Mi, Bobin ; Liu, Guohui
• Lower Bound Methods and Separation Results for On-Line Learning Models
  Maass, Wolfgang ; Turán, György
• A comparison of machine learning models for the mapping of groundwater spring potential
  Al-Fugara, A’kif ; Pourghasemi, Hamid Reza ; Al-Shabeeb, Abdel Rahman ; Habib, Maan ; Al-Adamat, Rida ; Al-Amoush, Hani ; Collins, Adrian
• A Comparative Analysis of Machine Learning Models for Simulating, Classifying, and Assessment River Inflow
  Ahmed, Ali Najah ; Van Thieu, Nguyen ; Chong, Kai Lun ; Huang, Yuk Feng ; El-Shafie, Ahmed
• Advanced predictive machine and deep learning models for round-ended CFST column
  Shen, Feng ; Jha, Ishan ; Isleem, Haytham F. ; Almoghayer, Walaa J.K ; Khishe, Mohammad ; Elshaarawy, Mohamed Kamel
• Development of machine learning models for the estimation of diffuse solar radiation in the humid-subtropical climatic region of India
  Azam, Farooque ; Akhtar, Naiem ; Husain, Shahid
• Application of machine learning models to explore prognosis and cause of death in advanced intrahepatic cholangiocarcinoma patients undergoing chemotherapy
  Zeng, Qin ; Wang, Xin ; Liu, Jun ; Jiang, Yiqing ; Cao, Guili ; Su, Ke ; Liu, Xiaoqin
• Modifications to Prostate Cancer Diagnosis following COVID-19 and Following Models
  Stojadinovic, Miroslav ; Stojadinovic, Milorad ; Jankovic, Slobodan
• Machine learning inspired models for Hall effects in non-collinear magnets
  Kipp, Jonathan ; Lux, Fabian R. ; Pürling, Thorben ; Morrison, Abigail Joanna Rhodes ; Blügel, Stefan ; Pinna, Daniele ; Mokrousov, Yuriy 2024 Universitätsbibliothek der RWTH Aachen
• Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores
  Hrytsenko, Yana ; Shea, Benjamin ; Elgart, Michael ; Kurniansyah, Nuzulul ; Lyons, Genevieve ; Morrison, Alanna C. ; Carson, April P. ; Haring, Bernhard ; Mitchell, Braxton D. ; Psaty, Bruce M. ; Jaeger, Byron C. ; Gu, C. Charles ; Kooperberg, Charles ; Levy, Daniel ; Lloyd-Jones, Donald ; Choi, Eunhee ; Brody, Jennifer A. ; Smith, Jennifer A. ; Rotter, Jerome I. ; Moll, Matthew ; Fornage, Myriam ; Simon, Noah ; Castaldi, Peter ; Casanova, Ramon ; Chung, Ren-Hua ; Kaplan, Robert ; Loos, Ruth ; Kardia, Sharo
• Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
  Alamro, Hind ; Thafar, Maha A. ; Albaradei, Somayah ; Gojobori, Takashi ; Essack, Magbubah ; Gao, Xin
• The space of models in machine learning: using Markov chains to model transitions
  Torra, Vicenç ; Taha, Mariam ; Navarro-Arribas, Guillermo