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See and Read: Detecting Depression Symptoms in Higher Education Students
  Using Multimodal Social Media Data

See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data

3 December 2019
Paulo Mann
A. Paes
Elton H. Matsushima
ArXivPDFHTML

Papers citing "See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data"

15 / 15 papers shown
Title
Multimodal Deep Learning
Multimodal Deep Learning
Cem Akkus
Jiquan Ngiam
Vladana Djakovic
Steffen Jauch-Walser
A. Khosla
...
Jann Goschenhofer
Honglak Lee
A. Ng
Daniel Schalk
Matthias Aßenmacher
112
3,169
0
12 Jan 2023
A Text Classification Framework for Simple and Effective Early
  Depression Detection Over Social Media Streams
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
Sergio G. Burdisso
Marcelo Errecalde
Manuel Montes-y-Gómez
43
166
0
18 May 2019
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
185
1,367
0
02 May 2018
Utilizing Neural Networks and Linguistic Metadata for Early Detection of
  Depression Indications in Text Sequences
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
Marcel Trotzek
Sven Koitka
Christoph M. Friedrich
57
200
0
19 Apr 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
80
1,282
0
20 Mar 2018
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual
  Sentence Representations
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations
Andreas Rucklé
Steffen Eger
Maxime Peyrard
Iryna Gurevych
159
99
0
04 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
206
11,549
0
15 Feb 2018
Multimodal Classification for Analysing Social Media
Multimodal Classification for Analysing Social Media
Chi Thang Duong
R. Lebret
Karl Aberer
47
38
0
07 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
91
2,928
0
26 May 2017
Multiple Instance Learning: A Survey of Problem Characteristics and
  Applications
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
M. Carbonneau
Veronika Cheplygina
Eric Granger
G. Gagnon
64
625
0
11 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
509
10,322
0
16 Nov 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
229
9,966
0
15 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
392
33,521
0
16 Oct 2013
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