„Graph Machine Learning“

Suchergebnisse

3.871 Treffer

• Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signaling in a Model of Niemann–Pick Disease Type C
  Lu, Meng ; Hui, Ernestine ; Brockhoff, Marius ; Träuble, Jakob ; Fernandez‐Villegas, Ana ; Burton, Oliver J. ; Lamb, Jacob ; Ward, Edward ; Woodhams, Philippa J. ; Tadbier, Wadood ; Läubli, Nino F. ; Hofmann, Stephan ; Kaminski, Clemens F. ; Lombardo, Antonio ; Kaminski Schierle, Gabriele S.
• A robust method for malware analysis using stacking classifiers and dendrogram visualization
  Naveen Kumar, N. ; Balamurugan, S. ; Maruthamuthu, R. ; Devi, P. P. ; Seshu Kumar, P.
• Aggregating the response in time series lag models using quad weight kernel: impact of environmental factors on schizophrenia admissions
  Thomas, Jobin ; Parameswaran, Murali
• Selective ensemble of doubly weighted fuzzy extreme learning machine for tumor classification
  Wang, Yang
• Recognition of human skin diseases using inception-V3 with transfer learning
  Mamun, Md. Al ; Kabir, Md. Solaiman ; Akter, Morium ; Uddin, Mohammad Shorif
• GraphBNC: Machine Learning‐Aided Prediction of Interactions Between Metal Nanoclusters and Blood Proteins
  Pihlajamäki, Antti ; Matus, María Francisca ; Malola, Sami ; Häkkinen, Hannu
• A fast verifiable fully homomorphic encryption technique for secret computation on cloud data
  Mahato, Ganesh Kumar ; Chakraborty, Swarnendu Kumar
• Nature inspired recommendation with path optimization for online social network communities
  Goel, Mansi ; Sinha, Adwitiya
• Transfer learning for emotion detection in conversational text: a hybrid deep learning approach with pre-trained embeddings
  Kusal, Sheetal ; Patil, Shruti ; Choudrie, Jyoti ; Kotecha, Ketan ; Vora, Deepali
• Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms
  Ahmed, Imtiaz ; Yadav, Pramod Kumar
• Machine learning for micro- and nanorobots
  Yang, Lidong ; Jiang, Jialin ; Ji, Fengtong ; Li, Yangmin ; Yung, Kai-Leung ; Ferreira, Antoine ; Zhang, Li
• Machine learning-aided generative molecular design
  Du, Yuanqi ; Jamasb, Arian R. ; Guo, Jeff ; Fu, Tianfan ; Harris, Charles ; Wang, Yingheng ; Duan, Chenru ; Liò, Pietro ; Schwaller, Philippe ; Blundell, Tom L.
• Analyzing psychological information using lattice hydrodynamic model coupled with electronic throttle control
  Mehra, Meenakshi ; Siwach, Vikash ; Mehta, Shubham ; Redhu, Poonam
• A Novel Approach for Forecasting Price of Stock Market using Machine Learning Techniques
  Yadav, Abhinay ; Kumar, Vineet ; Singh, Satyendra ; Mishra, Ashish Kumar
• A signcryption with identity-based authentication for secure EHR sharing in IoMT utilizing ECC
  Patil, Rachana Y. ; Karati, Arijit ; Patil, Yogesh H.
• Energy efficient dynamic resource allocation in C-RAN using tunicate swarm and whale optimization algorithm
  Rao, Voore Subba ; Babu, G. Ravindra
• An enhanced QoS approach for multi-objective optimization using social spider optimization 5G enable IoMT network
  Jena, Rasmita ; Barik, Ram Chandra ; Yadav, Devendra Kumar ; Pradhan, Saroj
• A novel IMW-mrmr feature selection approach for early detection of hypertension with HRV analysis
  Sohara Banu, A. R. ; Nagaveni, V.
• Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings
  Martin, Thibault ; Jannin, Pierre ; Baxter, John S. H.
• An optimal feature subset selection technique to improve accounting information security for intrusion detection systems
  Shaker, Ameer Saheb ; Alkhafaji, Atheer ; Kuaiber, Makki Qasim ; Almagtome, Akeel Hamza ; Al-Yasiri, Ahmed Jassim