„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Machine learning models for classifying high- and low-grade gliomas : a systematic review and quality of reporting analysis
  Bahar, Ryan C. ; Merkaj, Sara ; Cassinelli Petersen, Gabriel I. ; Tillmanns, Niklas ; Subramanian, Harry ; Brim, Waverly Rose ; Zeevi, Tal ; Staib, Lawrence ; Kazarian, Eve ; Lin, MingDe ; Bousabarah, Khaled ; Huttner, Anita J. ; Pala, Andrej ; Payabvash, Seyedmehdi ; Ivanidze, Jana ; Cui, Jin ; Malhotra, Ajay ; Aboian, Mariam S. 2022 Universität Ulm
• Prediction of irrigation water quality indices based on machine learning and regression models
  Mokhtar, Ali ; Elbeltagi, Ahmed ; Gyasi-Agyei, Yeboah ; Al-Ansari, Nadhir ; Abdel-Fattah, Mohamed K.
• Impact of Gene Biomarker Discovery Tools Based on Protein–Protein Interaction and Machine Learning on Performance of Artificial Intelligence Models in Predicting Clinical Stages of Breast Cancer
  Amjad, Elham ; Asnaashari, Solmaz ; Sokouti, Babak ; Dastmalchi, Siavoush
• Machine learning modeling of superconducting critical temperature
  Stanev, Valentin ; Oses, Corey ; Kusne, A. Gilad ; Rodriguez, Efrain ; Paglione, Johnpierre ; Curtarolo, Stefano ; Takeuchi, Ichiro
• Developments in Statistical Modelling
  Einbeck, Jochen ; Maeng, Hyeyoung ; Ogundimu, Emmanuel ; Perrakis, Konstantinos 2024 Springer Nature Switzerland, Imprint: Springer
• Genetic algorithms for computational materials discovery accelerated by machine learning
  Jennings, Paul C. ; Lysgaard, Steen ; Hummelshøj, Jens Strabo ; Vegge, Tejs ; Bligaard, Thomas
• Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models
  Marvaso, Giulia ; Isaksson, Lars Johannes ; Zaffaroni, Mattia ; Vincini, Maria Giulia ; Summers, Paul Eugene ; Pepa, Matteo ; Corrao, Giulia ; Mazzola, Giovanni Carlo ; Rotondi, Marco ; Mastroleo, Federico ; Raimondi, Sara ; Alessi, Sarah ; Pricolo, Paola ; Luzzago, Stefano ; Mistretta, Francesco Alessandro ; Ferro, Matteo ; Cattani, Federica ; Ceci, Francesco ; Musi, Gennaro ; De Cobelli, Ottavio ; Cremonesi, Marta ; Gandini, Sara ; Torre, Davide La ; Orecchia, Roberto ; Petralia, Giuseppe ; Jereczek-Fossa
• CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization
  Garai, Sandip ; Paul, Ranjit Kumar ; Yeasin, Md ; Paul, A. K.
• Finding optimal decision boundaries for human intervention in one-class machine-learning models for industrial inspection
  Zander, Tim ; Pan, Ziyan ; Birnstill, Pascal ; Beyerer, Jürgen
• Machine learning guided discovery of ternary compounds involving La and immiscible Co and Pb elements
  Wang, Renhai ; Xia, Weiyi ; Slade, Tyler J. ; Fan, Xinyu ; Dong, Huafeng ; Ho, Kai-Ming ; Canfield, Paul C. ; Wang, Cai-Zhuang
• Gaussian Process Regression Models for the Prediction of Hydrogen Bond Acceptor Strengths
  Bauer, Christoph A. ; Schneider, Gisbert ; Göller, Andreas H.
• Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed, Saudi Arabia
  Mallick, Javed ; Talukdar, Swapan ; Ahmed, Mohd
• Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations
  Elgart, Michael ; Lyons, Genevieve ; Romero-Brufau, Santiago ; Kurniansyah, Nuzulul ; Brody, Jennifer A. ; Guo, Xiuqing ; Lin, Henry J. ; Raffield, Laura ; Gao, Yan ; Chen, Han ; Vries, Paul de ; Lloyd-Jones, Donald M. ; Lange, Leslie A. ; Peloso, Gina M. ; Fornage, Myriam ; Rotter, Jerome I. ; Rich, Stephen S. ; Morrison, Alanna C. ; Psaty, Bruce M. ; Levy, Daniel ; Redline, Susan ; Sofer, Tamar
• Development of a quantitative prediction algorithm for human cord blood-derived CD34+ hematopoietic stem-progenitor cells using parametric and non-parametric machine learning models
  Leung, Chi-Kwan ; Zhu, Pengcheng ; Loke, Ian ; Tang, Kin Fai ; Leung, Ho-Chuen ; Yeung, Chin-Fung
• Toward the Integration of Machine Learning and Molecular Modeling for Designing Drug Delivery Nanocarriers
  Gao, Xuejiao J. ; Ciura, Krzesimir ; Ma, Yuanjie ; Mikolajczyk, Alicja ; Jagiello, Karolina ; Wan, Yuxin ; Gao, Yurou ; Zheng, Jiajia ; Zhong, Shengliang ; Puzyn, Tomasz ; Gao, Xingfa
• Use of machine learning models in condition monitoring of abrasive belt in robotic arm grinding process
  Surindra, Mochamad Denny ; Alfarisy, Gusti Ahmad Fanshuri ; Caesarendra, Wahyu ; Petra, Mohamad Iskandar ; Prasetyo, Totok ; Tjahjowidodo, Tegoeh ; Królczyk, Grzegorz M. ; Glowacz, Adam ; Gupta, Munish Kumar
• Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models
  Boeke, Simon ; Winter, René M. ; Leibfarth, Sara ; Krueger, Marcel A. ; Bowden, Gregory ; Cotton, Jonathan ; Pichler, Bernd J. ; Zips, Daniel ; Thorwarth, Daniela
• Machine Learning-Based Modeling of the Environmental Degradation, Institutional Quality, and Economic Growth
  Jabeur, Sami Ben ; Ballouk, Houssein ; Ben Arfi, Wissal ; Khalfaoui, Rabeh
• Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm
  Mohamadi, Sedigheh ; Sammen, Saad Sh ; Panahi, Fatemeh ; Ehteram, Mohammad ; Kisi, Ozgur ; Mosavi, Amir ; Ahmed, Ali Najah ; El-Shafie, Ahmed ; Al-Ansari, Nadhir
• Distributed machine learning strategies for efficient development of direct and inverse nonlinear and IIR models
  Majhi, Babita ; Mohapatra, Usha Manasi ; Satapathy, Suresh Chandra