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h5 指数:40
h5 中位数:57

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#11 Data Mining & Analysis

标题/作者	引用次数	年份
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. ST Chen, C Cornelius, J Martin, D Horng ECML/PKDD (1), 52-68	238	2018
Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. D Stamoulis, R Ding, D Wang, D Lymberopoulos, B Priyantha, J Liu, ... ECML/PKDD (2), 481-497	194	2019
A Simple Exponential Family Framework for Zero-Shot Learning. VK Verma, P Rai ECML/PKDD (2), 792-808	184	2017
Interpretable Counterfactual Explanations Guided by Prototypes. A Van Looveren, J Klaise ECML/PKDD (2), 650-665	154	2021
Image Anomaly Detection with Generative Adversarial Networks. L Deecke, RA Vandermeulen, L Ruff, S Mandt, M Kloft ECML/PKDD (1), 3-17	146	2018
Robust, Deep and Inductive Anomaly Detection. R Chalapathy, AK Menon, S Chawla ECML/PKDD (1), 36-51	142	2017
Unsupervised Diverse Colorization via Generative Adversarial Networks. Y Cao, Z Zhou, W Zhang, Y Yu ECML/PKDD (1), 151-166	141	2017
Interpretable Machine Learning-A Brief History, State-of-the-Art and Challenges. C Molnar, G Casalicchio, B Bischl PKDD/ECML Workshops, 417-431	133	2020
Visualizing the Feature Importance for Black Box Models. G Casalicchio, C Molnar, B Bischl ECML/PKDD (1), 655-670	106	2018
Deep Over-sampling Framework for Classifying Imbalanced Data. S Ando, CY Huang ECML/PKDD (1), 770-785	101	2017
Efficient Decentralized Deep Learning by Dynamic Model Averaging. M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel ECML/PKDD (1), 393-409	96	2018
Theoretical Analysis of Domain Adaptation with Optimal Transport. I Redko, A Habrard, M Sebban ECML/PKDD (2), 737-753	95	2017
Privacy Preserving Synthetic Data Release Using Deep Learning. NC Abay, Y Zhou, M Kantarcioglu, BM Thuraisingham, L Sweeney ECML/PKDD (1), 510-526	80	2018
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. J Shen, Z Wu, D Lei, J Shang, X Ren, J Han ECML/PKDD (1), 288-304	76	2017
Robust Anomaly Detection in Images Using Adversarial Autoencoders. L Beggel, M Pfeiffer, B Bischl ECML/PKDD (1), 206-222	73	2019
Human Activity Recognition with Convolutional Neural Networks. A Bevilacqua, K MacDonald, A Rangarej, V Widjaya, B Caulfield, ... ECML/PKDD (3), 541-552	70	2018
FCNN: Fourier Convolutional Neural Networks. H Pratt, BM Williams, F Coenen, Y Zheng ECML/PKDD (1), 786-798	68	2017
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. G Liu, O Schulte, W Zhu, Q Li ECML/PKDD (2), 414-429	65	2018
DeepCluster: A General Clustering Framework Based on Deep Learning. K Tian, S Zhou, J Guan ECML/PKDD (2), 809-825	60	2017
Fair Kernel Learning. A Pérez-Suay, V Laparra, G Mateo-Garcia, J Muñoz-Marí, ... ECML/PKDD (1), 339-355	58	2017

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