Email Login
Community
News | Research | DeepLearning | Seminar | Q&A

b40cb64c-48c6-4e4e-9a79-811de9801293.jpg

Call for Papers
IEEE TMM Special Issue on

Multimedia Computing with Interpretable Machine Learning

Multimedia is increasingly becoming the “biggest big data,” among the most important and valuable source for insight and information. Powerful machine learning algorithms, especially deep learning models such as convolutional neural networks (CNNs), have recently achieved outstanding predictive performance in a wide range of multimedia applications, including visual object classification, scene understanding, speech recognition, and activity prediction. Nevertheless, most deep learning algorithms are generally conceived as black box methods, and it is difficult to intuitively and quantitatively understand the results of their inference. Since this lack of transparency can be a major bottleneck in designing more successful predictive models, there has been an explosion of interest in interpreting the representations learned by these models, with profound implications for research into interpretable machine leaning. This special issue is designed to broadly engage the machine learning and multimedia communities on this emerging yet challenging topic -- tying together many threads which are deeply related but often considered in isolation.

Topics of interest include (but are not limited to): 

  • Open research challenges and directions for multimedia computing with interpretable machine learning
  • New theories, models, and benchmarks for multimedia computing with interpretable machine learning
  • Interpretable deep learning architectures and algorithms for large-scale multimedia data
  • Interpretability in reinforcement learning for multimedia
  • Quantifying and visualizing the interpretability of machine learning algorithms for multimedia
  • Causality of predictive models for multimedia
  • Verifying, diagnosing and debugging machine learning systems for multimedia
  • Fairness, accountability, and transparency in multimedia machine learning
  • Novel and inventive applications of interpretability multimedia machine leaning in various fields (e.g., social media, healthcare, smart city, and retail)


Submission Guidelines:

Papers should be formatted according to the IEEE Transactions on Multimedia guidelines for authors. By submitting/resubmitting your manuscript to these Transactions, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay all over-length page charges, color charges, and any other charges and fees associated with publication of the manuscript. Manuscripts (both 1-column and 2-column versions are required) should be submitted electronically through the online IEEE manuscript submission system. When selecting a manuscript type, the authors must choose IML Special Issue. All submitted papers will go through the same review process as the regular TMM paper submissions. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the special issue topics above.

 

 

Submit Manuscript

 

 

f2c9b915-693c-4632-b88e-5d43b989d6fd.jpg

Important Dates

  • Submission Deadline:  March 31, 2019
  • Revision Due: July 31, 2019
  • Camera-ready manuscript due: September 30, 2019
  • First notification: June 10, 2019
  • Final notification of acceptance: September 10, 2019
  • Tentative Publication: Late 2019

 

7182fd78-692c-4a93-a43c-37e4feb65ca7.jpg

Guest Editors

 
번호 제목 글쓴이 날짜 조회 수
59 [CFP] IEEE JSTSP - Signal Processing and Machine Learning for Education and Human Learning at Scale GreatMind 2016.05.10 88
58 [Journal Issue] Pattern Recognition Letters Volume 79 , Pages 1-112, 1 August 2016 GreatMind 2016.07.02 87
57 [CFP] ACIVS 2020 - Auckland New Zealand GreatMind 2019.04.16 86
56 [Journal issue] Journal of Visual Communication and Image Representation: Alert 20 June-26 June GreatMind 2016.06.27 86
55 [CFP] IEEE ICASSP 2017 GreatMind 2016.06.19 86
54 [Journal Issue] Image and Vision Computing Volume 54 GreatMind 2016.10.29 84
53 [CFP] Call for 2017 Summer School Proposals - IEEE SPS Summer Schools in Signal Processing GreatMind 2016.09.21 84
52 [CFP] APSIPA 2016 GreatMind 2016.04.11 82
51 [CFP IEEE SP Magazine Special Issue on Music Signal Processing GreatMind 2017.10.19 81
50 [CFP] IEEE Region 10 Humanitarian Technology Conference 2016 GreatMind 2016.05.04 81
» [CFP] Call for Papers IEEE TMM Special Issue on Multimedia Computing with Interpretable Machine Learning GreatMind 2019.02.15 79
48 [Journal Issue] Journal of Visual Communication and Image Representation: Alert 31 July-6 August GreatMind 2016.08.06 79
47 [CFP] The 20th Int'l Conf. on Image Processing, Computer Vision, & Pattern Recognition (IPCV'16) BGKim 2016.04.07 79
46 [CFP] DCC 2018 Call For Papers - Data Compression Conference, Snowbird, UT GreatMind 2017.08.24 76
45 [Journal issue] Image and Vision Computing: Alert 26 May-1 June GreatMind 2016.06.03 76
44 [CFP] IEEE Service and Cloud Computing (IEEE SC2 2016) in Fiji - Submission deadline: Sep. 15, 2016 (Firm) GreatMind 2016.09.03 74
43 [CFP] 2016 International Conference on Machine learning and Signal Processing (MALSIP) GreatMind 2016.07.01 74
42 [Journal Issue] Journal of Real-Time Image Processing, Vol. 12, Issue 3 GreatMind 2016.10.05 73
41 [CFP] IEEE Journal of Selected Topics in Signal Processing GreatMind 2016.05.02 72
40 [CFP] SSCC’16 GreatMind 2016.04.14 70