• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 28 matches

• 2017
• 
  Jakob Abeßer, Stylianos Ioannis Mimilakis, Robert Gräfe, Hanna M. Lukashevich:
  Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks. DCASE 2017: 7-11
• 
  Sharath Adavanne, Tuomas Virtanen:
  Sound Event Detection Using Weakly Labeled Dataset with Stacked Convolutional and Recurrent Neural Network. DCASE 2017: 12-16
• 
  Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller:
  Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. DCASE 2017: 17-21
• 
  Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
  Nonnegative Feature Learning Methods for Acoustic Scene Classification. DCASE 2017: 22-26
• 
  Emre Cakir, Tuomas Virtanen:
  Convolutional Recurrent Neural Networks for Rare Sound Event Detection. DCASE 2017: 27-31
• 
  Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Bertold Van den Bergh, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, Peter Karsmakers:
  The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. DCASE 2017: 32-36
• 
  Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra:
  Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. DCASE 2017: 37-41
• 
  Marc C. Green, Damian T. Murphy:
  Acoustic Scene Classification Using Spatial Features. DCASE 2017: 42-45
• 
  Yoonchang Han, Jeongsoo Park:
  Convolutional Neural Networks with Binaural Representations and Background Subtraction for Acoustic Scene Classification. DCASE 2017: 46-50
• 
  Il-Young Jeong, Subin Lee, Yoonchang Han, Kyogu Lee:
  Audio Event Detection Using Multiple-Input Convolutional Neural Network. DCASE 2017: 51-54
• 
  Abelino Jimenez, Benjamin Elizalde, Bhiksha Raj:
  DCASE 2017 Task 1: Acoustic Scene Classification Using Shift-Invariant Kernels and Random Features. DCASE 2017: 55-58
• 
  Jee-Weon Jung, Hee-Soo Heo, Il-Ho Yang, Sung-Hyun Yoon, Hye-Jin Shim, Ha-Jin Yu:
  DNN-Based Audio Scene Classification for DCASE2017: Dual Input Features, Balancing Cost, and Stochastic Data Duplication. DCASE 2017: 59-63
• 
  Wang Kaiwu, Liping Yang, Yang Bin:
  Audio Events Detection and classification using extended R-FCN Approach. DCASE 2017: 128-132
• 
  Christian Kroos, Mark D. Plumbley:
  Neuroevolution for Sound Event Detection in Real Life Audio: A Pilot Study. DCASE 2017: 64-68
• 
  Donmoon Lee, Subin Lee, Yoonchang Han, Kyogu Lee:
  Ensemble of Convolutional Neural Networks for Weakly-supervised Sound Event Detection Using Multiple Scale Input. DCASE 2017: 74-79
• 
  Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, Juhan Nam:
  Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection. DCASE 2017: 69-73
• 
  Hyungui Lim, Jeong-Soo Park, Yoonchang Han:
  Rare Sound Event Detection Using 1D Convolutional Recurrent Neural Networks. DCASE 2017: 80-84
• 
  Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Elizalde, Ankit Shah, Emmanuel Vincent, Bhiksha Raj, Tuomas Virtanen:
  DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System. DCASE 2017: 85-92
• 
  Seongkyu Mun, Sangwook Park, David K. Han, Hanseok Ko:
  Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane. DCASE 2017: 93-102
• 
  Sangwook Park, Seongkyu Mun, Younglo Lee, Hanseok Ko:
  Acoustic Scene Classification Based on Convolutional Neural Network Using Double Image Features. DCASE 2017: 98-102
• 
  Karol J. Piczak:
  The Details That Matter: Frequency Resolution of Spectrograms in Acoustic Scene Classification. DCASE 2017: 103-107
• 
  Kun Qian, Zhao Ren, Vedhas Pandit, Zijiang Yang, Zixing Zhang, Björn W. Schuller:
  Wavelets Revisited for the Classification of Acoustic Scenes. DCASE 2017: 108-112
• 
  Zhao Ren, Vedhas Pandit, Kun Qian, Zijiang Yang, Zixing Zhang, Björn W. Schuller:
  Deep Sequential Image Features on Acoustic Scene Classification. DCASE 2017: 113-117
• 
  Alexander Schindler, Thomas Lidy, Andreas Rauber:
  Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification. DCASE 2017: 118-122
• 
  Anastasios Vafeiadis, Dimitrios Kalatzis, Konstantinos Votis, Dimitrios Giakoumis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui:
  Acoustic Scene Classification: From a Hybrid Classifier to Deep Learning. DCASE 2017: 123-127
• 
  Weiping Zheng, Yi Jiantao, Xiaotao Xing, Xiangtao Liu, Shao-Hu Peng:
  Acoustic Scene Classification Using Deep Convolutional Neural Network and Multiple Spectrograms Fusion. DCASE 2017: 133-137
• 
  Qing Zhou, Zuren Feng:
  Robust Sound Event Detection Through Noise Estimation and Source Separation Using NMF. DCASE 2017: 138-142
• 
  Tuomas Virtanen, Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Emmanuel Vincent, Emmanouil Benetos, Benjamin Elizalde:
  Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2017, Munich, Germany, November 16-17, 2017. 2017, ISBN 978-952-15-4042-4 [contents]