Papers matching “deep learning classification” 69
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Automated Carbonate Reservoir Pore and Fracture Classification by Multiscale Imaging and Deep Learning2021 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Jop Klaver, Joyce Schmatz, Rongjin Wang, Mingming Jiang, Lucas M. Kleipool, Antonino Cilona, +1 more
1citations -
Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification2023 Communications in computer and information science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens
3citations -
Efficient Malicious Traffic Classification Methods based on Semi-supervised Learning2022 International Conference on Dependable Systems and Their Applications (DSA) conference-paper Computer Science Network Security and Intrusion Detection
Xiaoyi Hu, Jie Yin, Jie Yang, Bamidele Adebisi, Haris Gacanin
2citations -
Federated Deep Learning for Collaborative Intrusion Detection in Heterogeneous Networks2021 IEEE Vehicular Technology Conference conference-paper Computer Science Network Security and Intrusion Detection
Segun Isaiah Popoola, Guan Gui, Bamidele Adebisi, Mohammad Ali A. Hammoudeh, Haris Gacanin
28citations -
Parçacık sürü optimizasyonu destekli derin öğrenme ile gül yaprağı hastalık tespiti [Rose Leaf Disease Detection with Particle Swarm Optimization-Assisted Deep Learning]0citations
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Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning2023 International Conference on Communications conference-paper Computer Science Wireless Signal Modulation Classification
Zeyang Yang, Xue Gang Fu, Guan Gui, Yun Lin, Haris Gacanin, Hikmet Sari, +1 more
10citations -
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification2021 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Ina Laube, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, +3 more
0citations -
Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube2021 International Cosmic Ray Conference conference-paper Physics and Astronomy Neutrino Physics Research Open access
Mirco Huennefeld, M. Ackermann, Jenni Adams, Juanan Aguilar, M. Ahlers, Maryon Ahrens, +93 more
18citations