Not finding it? Sign in to also search OpenAlex live.
-
Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification cited by 1 patent
Yu Wang, Guan Gui, Haris Gacanin, Bamidele Adebisi, Hikmet Sari, Fumiyuki Adachi
109citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
5citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
2citations -
Tree-based learning on amperometric time series data demonstrates high accuracy for classification2024 International Journal of Data Science and Analytics article Computer Science Time Series Analysis and Forecasting Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, +2 more
2citations -
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 -
Hybrid quantum ResNet for car classification and its hyperparameter optimization2023 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access
Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Romanovich Perelshtein, +2 more
42citations -
Guided Representation Learning for the Classification of Hematopoietic Cells2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2citations -
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 -
Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records2024 Journal of Clinical Oncology article Computer Science Machine Learning in Healthcare Open access
Virginia H. Sun, Julius Cornelis Heemelaar, Ibrahim Hadžić, Vineet K. Raghu, Chia‐Yun Wu, Leyre Zubiri, +24 more
35citations -
Explainability of a Deep Learning Based Classification Model for ANCA-Associated Glomerulonephritis2022 Journal of the American Society of Nephrology article Computer Science Explainable Artificial Intelligence (XAI)
Maria A.C. Wester Trejo, Maryam Sadeghi, Shivam Singh, Andreas Kronbichler, Vladimı́r Tesař, Xavier Puéchal, +1 more
0citations -
One-press control: a tactile input method for pressure-sensitive computer keyboards2021 arXiv (Cornell University) preprint Computer Science Interactive and Immersive Displays Open access
Staas de Jong, Jeroen Jillissen, Dünya Kirkali, Alwin de Rooij, Hanna Schraffenberger, Arnout Terpstra
0citations