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Predicting multiple real-world tasks in a single model often requires a particularly diverse feature space.
PhysioBank, PhysioToolkit, and PhysioNet
Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley · 2000
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Finding and evaluating community structure in networks
M. E. J. Newman and M. Girvan · 2004
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On modularity clustering
Ulrik Brandes, Daniel Delling, Marco Gaertler, Robert Gorke, Martin Hoefer, Zoran Nikoloski, and Dorothea Wagner · 2008
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Missing data analysis: Making it work in the real world
John W. Graham · 2009
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Early prediction of student dropout and performance in MOOCs
Cheng Ye and Gautam Biswas · 2014
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Dropout rates of massive open online courses: behavioural patterns
Daniel FO Onah, Jane Sinclair, and Russell Boyatt · 2014
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Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency · 2017
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Multimodal sentiment analysis: Addressing key issues and setting up the baselines
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander Gelbukh, and Amir Hussain · 2018
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Multimodal sentiment analysis using hierarchical fusion with context modeling
Navonil Majumder, Devamanyu Hazarika, Alexander Gelbukh, Erik Cambria, and Soujanya Poria · 2018
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Multimodal explanations: Justifying decisions and pointing to the evidence
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, and Marcus Rohrbach · 2018
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Negbio: a high-performance tool for negation and uncertainty detection in radiology reports
Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald Summers, and Zhiyong Lu · 2018
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Multimodal machine learning: A survey and taxonomy
Tadas Baltrusaitis, Chaitanya Ahuja, and Louis-Philippe Morency · 2019
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Deep multimodal representation learning: A survey
Wenzhong Guo, Jianwen Wang, and Shiping Wang · 2019
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MIMIC-CXR-JPG
Alistair EW Johnson, Tom J Pollard, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G Mark, Seth J Berkowitz, and Steven Horng · 2019
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A review of modularization techniques in artificial neural networks
Mohammed Amer and Tomás Maul · 2019
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Discovery and temporal analysis of MOOC
Mina Shirvani Boroujeni and Pierre Dillenbourg · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
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Joint prediction of breast cancer histological grade and ki-67 expression level based on dce-mri and dwi radiomics
Ming Fan, Wei Yuan, Wenrui Zhao, Maosheng Xu, Shiwei Wang, Xin Gao, and Lihua Li · 2020
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Human action recognition using deep multilevel multimodal ( M 2 {M}^{2} ) fusion of depth and inertial sensors
Zeeshan Ahmad and Naimul Mefraz Khan · 2020
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Multi-task learning with deep neural networks: A survey
Michael Crawshaw · 2020
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Multimodal biomedical AI
Julián N Acosta, Guido J Falcone, Pranav Rajpurkar, and Eric J Topol · 2022
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Modular clinical decision support networks ( MoDN
Cécile Trottet, Thijs Vogels, Kristina Keitel, Alexandra Kulunkina, Rainer Tan, Ludovico Cobuccio, Martin Jaggi, and Mary-Anne Hartley · 2022
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Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, Saya Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, and Yuan Luo · 2022
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Integrated multimodal artificial intelligence framework for healthcare applications
Luis R Soenksen, Yu Ma, Cynthia Zeng, Leonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M Wiberg, Michael L Li, Ignacio Fuentes, and Dimitris Bertsimas · 2022
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Are multimodal transformers robust to missing modality?
Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, and Xi Peng · 2022
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Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, and Matthew P Lungren · 2020
Cited alongside, same era.
A brief review of deep multi-task learning and auxiliary task learning
Partoo Vafaeikia, Khashayar Namdar, and Farzad Khalvati · 2020
Cited alongside, same era.
Embodied intelligence via learning and evolution
Agrim Gupta, Silvio Savarese, Surya Ganguli, and Li Fei-Fei · 2021
Cited alongside, same era.
Bridging text and video: A universal multimodal transformer for audio-visual scene-aware dialog
Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, and Jie Zhou · 2021
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A survey on missing data in machine learning
Tlamelo Emmanuel, Thabiso Maupong, Dimane Mpoeleng, Thabo Semong, Banyatsang Mphago, and Oteng Tabona · 2021
Cited alongside, same era.
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi, Rahee Walambe, and Ketan Kotecha · 2021
Cited alongside, same era.
MIMIC-IV (version 1.0)
Alistair EW Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, and Roger Mark · 2021
Cited alongside, same era.
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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Evaluating the Explainers
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, and Tanja Käser · 2022
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Meta transfer learning for early success prediction in MOOCs
Vinitra Swamy, Mirko Marras, and Tanja Käser · 2022
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Beyond additive fusion: Learning non-additive multimodal interactions
Torsten Wörtwein, Lisa Sheeber, Nicholas Allen, Jeffrey Cohn, and Louis-Philippe Morency · 2022
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The shapley value in machine learning
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Olivér Kiss, Sebastian Nilsson, and Rik Sarkar · 2022
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A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions
Arnab Barua · 2023
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Modular deep learning
Jonas Pfeiffer, Sebastian Ruder, Ivan Vulić, and Edoardo Maria Ponti · 2023
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Weather2k: A multivariate spatio-temporal benchmark dataset for meteorological forecasting based on real-time observation data from ground weather stations
Xun Zhu, Yutong Xiong, Ming Wu, Gaozhen Nie, Bin Zhang, and Ziheng Yang · 2023
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Multiviz: Towards visualizing and understanding multimodal models
Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, and Ruslan Salakhutdinov · 2023
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Trusting the Explainers
Vinitra Swamy, Sijia Du, Mirko Marras, and Tanja Kaser · 2023
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