Papers matching “complexity classification” 82
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Decentralized Automatic Modulation Classification Method Based on Lightweight Neural Network2022 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) conference-paper Computer Science Wireless Signal Modulation Classification
Biao Dong, Guozhen Xu, Xue Gang Fu, Heng Dong, Guan Gui, Haris Gacanin, +1 more
6citations -
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Firas Khader, Omar S. M. El Nahhas, Tianyu Han, Gustav Anton Müller‐Franzes, Sven Nebelung, Jakob Nikolas Kather, +1 more
0citations -
An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression2021 IEEE Journal on Selected Areas in Communications article Computer Science Wireless Signal Modulation Classification
Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Octavia A. Dobre, H. Vincent Poor
300citations -
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study8citations
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Diagnosis Classification in the Emergency Room Using Natural Language Processing2023 Studies in health technology and informatics book-chapter Computer Science Machine Learning in Healthcare Open access
Marieke Meija van Buchem, Hanna H. ‘t Hart, Pablo J. Mosteiro, Ilse M.J. Kant, Martijn P. Bauer
1citations -
Lightweight Automatic Modulation Classification Based on Decentralized Learning2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification
Xue Gang Fu, Guan Gui, Yu Wang, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, Haris Gacanin, +1 more
96citations -
A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices2022 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification
Biao Dong, Yuchao Liu, Guan Gui, Xue Gang Fu, Heng Dong, Bamidele Adebisi, +2 more
52citations -
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 -
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 IFAC-PapersOnLine article Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
6citations -
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
0citations -
Lightweight Network and Model Aggregation for Automatic Modulation Classification in Wireless Communications2021 IEEE Wireless Communications and Networking Conference conference-paper Computer Science Wireless Signal Modulation Classification
Xue Gang Fu, Guan Gui, Yu Wang, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, Haris Gacanin, +1 more
5citations -
Automatic Embedding Interventions for the Classification of Hematopoietic Cells2022 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, +1 more
0citations -
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification2021 Lecture notes in computer science conference-paper Computer Science Advanced Graph Neural Networks Open access
Ruud van Bakel, Teodor Ivanov Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez
1citations