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h5 指数:35
h5 中位数:69

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 2017-2021 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

#12 Acoustics & Sound

标题/作者	引用次数	年份
DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System. A Mesaros, T Heittola, A Diment, B Elizalde, A Shah, E Vincent, B Raj, ... DCASE, 85-92	478	2017
A multi-device dataset for urban acoustic scene classification. A Mesaros, T Heittola, T Virtanen DCASE, 9-13	303	2018
Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane. S Mun, S Park, DK Han, H Ko DCASE, 93-102	170	2017
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. H Purohit, R Tanabe, T Ichige, T Endo, Y Nikaido, K Suefusa, ... DCASE, 209-213	154	2019
Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis. N Turpault, R Serizel, J Salamon, AP Shah DCASE, 253-257	144	2019
Convolutional Neural Networks with Binaural Representations and Background Subtraction for Acoustic Scene Classification. Y Han, J Park DCASE, 46-50	139	2017
General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline. E Fonseca, M Plakal, F Font, DPW Ellis, X Favory, J Pons, X Serra DCASE, 69-73	134	2018
Large-scale weakly labeled semi-supervised sound event detection in domestic environments. R Serizel, N Turpault, H Eghbal-Zadeh, AP Shah DCASE, 19-23	131	2018
Rare Sound Event Detection Using 1D Convolutional Recurrent Neural Networks. H Lim, JS Park, Y Han DCASE, 80-84	128	2017
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. S Amiriparian, M Freitag, N Cummins, BW Schuller DCASE, 17-21	97	2017
The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. G Dekkers, S Lauwereins, B Thoen, MW Adhana, H Brouckxon, ... DCASE, 32-36	96	2017
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura, Y Nikaido, R Tanabe, ... DCASE, 81-85	92	2020
Acoustic Scene Classification in DCASE 2020 Challenge: Generalization Across Devices and Low Complexity Solutions. T Heittola, A Mesaros, T Virtanen DCASE, 56-60	87	2020
Audio Tagging with Noisy Labels and Minimal Supervision. E Fonseca, M Plakal, F Font, DPW Ellis, X Serra DCASE, 69-73	77	2019
Multi-level attention model for weakly supervised audio classification. C Yu, KS Barsim, Q Kong, B Yang DCASE, 188-192	74	2018
A Multi-room Reverberant Dataset for Sound Event Localization and Detection. S Adavanne, A Politis, T Virtanen DCASE, 10-14	73	2019
Ensemble of Convolutional Neural Networks for Weakly-supervised Sound Event Detection Using Multiple Scale Input. D Lee, S Lee, Y Han, K Lee DCASE, 74-79	72	2017
Acoustic Scene Classification Using Deep Convolutional Neural Network and Multiple Spectrograms Fusion. W Zheng, Y Jiantao, X Xing, X Liu, SH Peng DCASE, 133-137	69	2017
Sound Event Detection Using Weakly Labeled Dataset with Stacked Convolutional and Recurrent Neural Network. S Adavanne, T Virtanen DCASE, 12-16	64	2017
A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection. A Politis, S Adavanne, T Virtanen DCASE, 165-169	63	2020

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