Papers matching “supervised classification” 83
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Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems2020 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Wireless Signal Modulation Classification
Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Hikmet Sari, Fumiyuki Adachi
115citations -
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 -
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection Open access
Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose
0citations -
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, +17 more
3citations -
Benchmarking Pathology Feature Extractors for Whole Slide Image Classification2023 St Andrews Research Repository (St Andrews Research Repository) conference-paper Computer Science AI in cancer detection Open access
Georg Wölflein, Dyke Ferber, Asier Rabasco Meneghetti, Omar S. M. El Nahhas, Daniel Truhn, Zunamys Itzell Carrero, +3 more
7citations -
Deep Learning–Based Classification of Early-Stage Mycosis Fungoides and Benign Inflammatory Dermatoses on H&E-Stained Whole-Slide Images: A Retrospective, Proof-of-Concept Study2024 Journal of Investigative Dermatology article Computer Science AI in cancer detection Open access
Thom Doeleman, Siemen Brussee, Liesbeth M. Hondelink, Daniëlle W F Westerbeek, Ana Sequeira, P. Valkema, +8 more
7citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
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 -
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations2025 European Journal of Radiology Artificial Intelligence article Computer Science Privacy-Preserving Technologies in Data Open access
Mahshad Lotfinia, Arash Tayebiarasteh, Mehdi Joodaki, Soroosh Tayebi Arasteh
9citations -
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