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The Effect of Heterogeneous Data for Alzheimer's Disease Detection from
  Speech

The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech

29 November 2018
Aparna Balagopalan
Jekaterina Novikova
Frank Rudzicz
Marzyeh Ghassemi
ArXiv (abs)PDFHTML

Papers citing "The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech"

13 / 13 papers shown
Title
Acoustic-Linguistic Features for Modeling Neurological Task Score in
  Alzheimer's
Acoustic-Linguistic Features for Modeling Neurological Task Score in Alzheimer's
Saurav K. Aryal
H. Prioleau
L. Burge
50
3
0
13 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
51
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
Model-agnostic interpretation by visualization of feature perturbations
Model-agnostic interpretation by visualization of feature perturbations
Wilson E. Marcílio-Jr
D. M. Eler
Fabricio A. Breve
AAML
20
1
0
26 Jan 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
47
8
0
13 Oct 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
Human Factors in Model Interpretability: Industry Practices, Challenges,
  and Needs
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
Sungsoo Ray Hong
Jessica Hullman
E. Bertini
HAI
87
195
0
23 Apr 2020
A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease
  from Spoken Language
A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language
S. Zargarbashi
B. BabaAli
26
25
0
01 Oct 2019
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
Variations on the Chebyshev-Lagrange Activation Function
Variations on the Chebyshev-Lagrange Activation Function
Yuchen Li
Frank Rudzicz
Jekaterina Novikova
26
1
0
24 Jun 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
1