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GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection [article]

Mudit Dhawan, Shakshi Sharma, Aditya Kadam, Rajesh Sharma, Ponnurangam Kumaraguru
2022 arXiv   pre-print
data representations for multimodal fake news detection.  ...  might result in information loss; (2) training very deep neural networks with a disproportionate number of parameters on small but complex real-life multimodal datasets result in higher chances of overfitting  ...  CALM [Wu et al., 2021b] employs a cross-modal fusion network with orthogonal latent memory, the CALM framework is utilized to identify rumors.  ... 
arXiv:2202.12478v2 fatcat:ibpkilxkjjgcdjpcucip753uxu

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 3059-3072 Attentive Cross-Modal Fusion Network for RGB-D Saliency Detection.  ...  ., +, TMM 2021 2706-2720 Attentive Cross-Modal Fusion Network for RGB-D Saliency Detection. Liu, D., +, TMM 2021 967-981 Attribute-Aware Pedestrian Detection in a Crowd.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances [article]

Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang
2020 arXiv   pre-print
[239] WWW '18 UHAN VGGNet, LSTM, Hierarchical Attention Wang et al. [199] DASFAA '18 MOOD Memory Network, Attention, Tensor Factorization Wang et al.  ...  User-guided hierarchical attention network (UHAN) [239] considered both visual and textual modalities of Flickr images by characterizing three different representations, i.e., visual representation pre-trained  ...  [11, 38, 103, 106, 154, 167, 179, 237] . subcascade_graph In tree cascade graph G c , for each node in V c , its subcascade graph is composed of all the descendants of this node.  ... 
arXiv:2005.11041v2 fatcat:wxn5azl25vhe7pnulkfpehezey

COVID-19 Modeling: A Review [article]

Longbing Cao, Qing Liu
2021 arXiv   pre-print
We thank Wenfeng Hou, Siyuan Ren, Yawen Zheng, Qinfeng Wang and Yang Yang for their assistance in the literature collection.  ...  For example, in [104] , a bidirectional GRU network with attention differentiates COVID-19 infections from normal on face-based videos captured by RGB-Infrared Sensors with 83.69% accuracy.  ...  generative adversarial networks (GAN); and (5) other neural learning mechanisms such as attention networks.  ... 
arXiv:2104.12556v3 fatcat:pj2bketcrveafbjf2m7tx3odxy

Towards Explainable Fact Checking [article]

Isabelle Augenstein
2021 arXiv   pre-print
Its contributions go beyond fact checking, with the thesis proposing more general machine learning solutions for natural language processing in the area of learning with limited labelled data.  ...  This thesis presents my research on automatic fact checking, including claim check-worthiness detection, stance detection and veracity prediction.  ...  Xu et al. 2018 present a solution to this cross-target stance detection task, consisting of self-attention networks.  ... 
arXiv:2108.10274v2 fatcat:5s4an6irezcjfmvvhmiaeqarh4

An Introduction to Sensor Data Analytics [chapter]

Charu C. Aggarwal
2012 Managing and Mining Sensor Data  
It uses models for detecting abnormal data values. The anomaly detector works in online as well as offline mode.  ...  In the offline mode, the data is cleaned periodically, for instance, once per day. In the following subsections, we will review popular models used for online anomaly detection.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.1007/978-1-4614-6309-2_1 fatcat:pfbx566yfzgqpnjcuzonmxr23q

Social Network Fusion and Mining: A Survey [article]

Jiawei Zhang
2018 arXiv   pre-print
, link prediction, community detection, information diffusion and network embedding respectively.  ...  A large number of online social networks have appeared, which can provide users with various types of services.  ...  In this section, we will introduce the cross-network community detection for emerging networks with information transferred from other mature social networks [137] .  ... 
arXiv:1804.09874v4 fatcat:dc2mj26i6reu5dy76vjk3qmjh4

EEG Source Analysis [chapter]

Marco Congedo, Leslie Sherlin
2011 Neurofeedback and Neuromodulation Techniques and Applications  
Our claim is supported with the classification of several data sets for each BCI modality.  ...  We show that the very same signal processing chain with minimal changes can be adapted to all current BCI modalities, including those based on the analysis of event-related (de)synchronizations, evoked-response  ...  Working Memory Trainer This is a program for training the working memory.  ... 
doi:10.1016/b978-0-12-382235-2.00002-0 fatcat:4to7kmjd4rcj3lfv2qwhkgpjui

Data-Centric Epidemic Forecasting: A Survey [article]

Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
2022 arXiv   pre-print
The COVID-19 pandemic has brought forth the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy as a whole.  ...  and modeling paradigms focusing on the recent data-driven statistical and deep-learning based methods as well as on the novel class of hybrid models that combine domain knowledge of mechanistic models with  ...  Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.  ... 
arXiv:2207.09370v2 fatcat:x5a7uvmwrbgd7fiskufmn5nlmi

Mapping (Dis-)Information Flow about the MH17 Plane Crash

Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
2019 Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda   unpublished
We are excited that the workshop includes a diverse set of topics: rumor and trolls detection, censorship and controversy, fake news vs. satire, uncovering propaganda and abusive language identification  ...  Last but not least, we would like to thank the program committee and the shared task participants for their help with reviewing the papers, and with advertising the workshop.  ...  Acknowledgements We would like to thank Dr Leandro Minku from the University of Birmingham for his insights into and help with the statistical analysis presented in this paper.  ... 
doi:10.18653/v1/d19-5006 fatcat:77l3dndrkvfmlhjt6qvnrassgi

When a few words are not enough: improving text classification through contextual information

Nujud Aloshban
2021
For fake news detection, people seem to use their cognitive abilities to hide information, which induces behavioural change, thereby changing their writing style and word choices.  ...  While one problem is depression detection based on the automatic analysis of clinical interviews, another problem is detecting fake online news.  ...  For example, Alhanai et al. [6] applied bidirectional long short-term memory network (Bi-LSTM) models to detect depression from human-machine interviews.  ... 
doi:10.5525/gla.thesis.82571 fatcat:tih2x4u4lbde5ptxedarx3cr64

With diversity in mind: Freeing the language sciences from Universal Grammar

Nicholas Evans, Stephen C. Levinson
2009 Behavioral and Brain Sciences  
languages, with new opportunities for dialogue with biological paradigms concerned with change and diversity, and confronting us with the extraordinary plasticity of the highest human skills.  ...  Linguistic diversity then becomes the crucial datum for cognitive science: we are the only species with a communication system that is fundamentally variable at all levels.  ...  but not " Ã What does John believe the rumor that Mary saw _?".  ... 
doi:10.1017/s0140525x09990525 fatcat:pqieza6vancijg4vfnu7humrli

The myth of language universals: Language diversity and its importance for cognitive science

Nicholas Evans, Stephen C. Levinson
2009 Behavioral and Brain Sciences  
languages, with new opportunities for dialogue with biological paradigms concerned with change and diversity, and confronting us with the extraordinary plasticity of the highest human skills.  ...  Linguistic diversity then becomes the crucial datum for cognitive science: we are the only species with a communication system that is fundamentally variable at all levels.  ...  but not " Ã What does John believe the rumor that Mary saw _?".  ... 
doi:10.1017/s0140525x0999094x pmid:19857320 fatcat:mjf3lbg5e5c7rgz5gi5y3aif7y

Embodiment [chapter]

2017 Encyclopedia of Educational Philosophy and Theory  
(see Bettencourt et al. 2014 and Lusch 2016 for further discussion).  ...  Acknowledgements This research arises from the project A Service-Dominant Logic for Education Over the last decade, a new, and significant, paradigm of/for business has emergeda Service-Dominant Logic  ...  the deepest meanings latent in the posthuman dimension of experience, in nature.  ... 
doi:10.1007/978-981-287-588-4_100335 fatcat:jmp7imwrbbak5iwwkd4rak5gra

Education and Big Data [chapter]

Maggi Savin-Baden
2017 Encyclopedia of Educational Philosophy and Theory  
(see Bettencourt et al. 2014 and Lusch 2016 for further discussion).  ...  Acknowledgements This research arises from the project A Service-Dominant Logic for Education Over the last decade, a new, and significant, paradigm of/for business has emergeda Service-Dominant Logic  ...  the deepest meanings latent in the posthuman dimension of experience, in nature.  ... 
doi:10.1007/978-981-287-588-4_128 fatcat:mwvnoe4hazcm5amh55hse4zose
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