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Detecting cognitive impairments by agreeing on interpretations of
  linguistic features
v1v2v3 (latest)

Detecting cognitive impairments by agreeing on interpretations of linguistic features

20 August 2018
Zining Zhu
Jekaterina Novikova
Frank Rudzicz
ArXiv (abs)PDFHTML

Papers citing "Detecting cognitive impairments by agreeing on interpretations of linguistic features"

15 / 15 papers shown
Title
Deep Insights into Cognitive Decline: A Survey of Leveraging
  Non-Intrusive Modalities with Deep Learning Techniques
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
David Ortiz-Perez
Manuel Benavent-Lledo
José García Rodríguez
David Tomás
M. Flores Vizcaya-Moreno
69
1
0
24 Oct 2024
DECK: Behavioral Tests to Improve Interpretability and Generalizability
  of BERT Models Detecting Depression from Text
DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text
Jekaterina Novikova
Ksenia Shkaruta
AI4MH
71
4
0
12 Sep 2022
Impact of Environmental Noise on Alzheimer's Disease Detection from
  Speech: Should You Let a Baby Cry?
Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry?
Jekaterina Novikova
46
0
0
31 Mar 2022
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease
  from Text
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text
Jekaterina Novikova
OOD
76
10
0
24 Sep 2021
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection
Aparna Balagopalan
Jekaterina Novikova
55
43
0
03 Jun 2021
Augmenting BERT Carefully with Underrepresented Linguistic Features
Augmenting BERT Carefully with Underrepresented Linguistic Features
Aparna Balagopalan
Jekaterina Novikova
39
2
0
12 Nov 2020
Fantastic Features and Where to Find Them: Detecting Cognitive
  Impairment with a Subsequence Classification Guided Approach
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach
Benjamin Eyre
Aparna Balagopalan
Jekaterina Novikova
43
8
0
13 Oct 2020
Examining the rhetorical capacities of neural language models
Examining the rhetorical capacities of neural language models
Zining Zhu
Chuer Pan
Mohamed Abdalla
Frank Rudzicz
64
10
0
01 Oct 2020
Ethically Collecting Multi-Modal Spontaneous Conversations with People
  that have Cognitive Impairments
Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments
Angus Addlesee
Pierre Albert
15
4
0
30 Sep 2020
To BERT or Not To BERT: Comparing Speech and Language-based Approaches
  for Alzheimer's Disease Detection
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection
Aparna Balagopalan
Benjamin Eyre
Frank Rudzicz
Jekaterina Novikova
58
124
0
26 Jul 2020
Lexical Features Are More Vulnerable, Syntactic Features Have More
  Predictive Power
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power
Jekaterina Novikova
Aparna Balagopalan
Ksenia Shkaruta
Frank Rudzicz
46
7
0
30 Sep 2019
Current Challenges in Spoken Dialogue Systems and Why They Are Critical
  for Those Living with Dementia
Current Challenges in Spoken Dialogue Systems and Why They Are Critical for Those Living with Dementia
Angus Addlesee
Arash Eshghi
Ioannis Konstas
19
9
0
14 Sep 2019
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal,
  but Deletions are More Equal than Others
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others
Aparna Balagopalan
Ksenia Shkaruta
Jekaterina Novikova
42
10
0
02 Apr 2019
Deconfounding age effects with fair representation learning when
  assessing dementia
Deconfounding age effects with fair representation learning when assessing dementia
Zining Zhu
Jekaterina Novikova
Frank Rudzicz
43
3
0
19 Jul 2018
Semi-supervised classification by reaching consensus among modalities
Semi-supervised classification by reaching consensus among modalities
Zining Zhu
Jekaterina Novikova
Frank Rudzicz
42
9
0
23 May 2018
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