Name
Affiliation
Papers
FRANK RUDZICZ
University of Toronto
104
Collaborators
Citations 
PageRank 
198
231
44.82
Referers 
Referees 
References 
555
1259
561
Search Limit
1001000
Title
Citations
PageRank
Year
On the data requirements of probing00.342022
Language Modelling via Learning to Rank.00.342022
Detoxifying Language Models with a Toxic Corpus00.342022
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation00.342022
Neural reality of argument structure constructions00.342022
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data.00.342022
COUGHWATCH: REAL-WORLD COUGH DETECTION USING SMARTWATCHES00.342021
Modified Subspace Constrained Mean Shift Algorithm00.342021
An Evaluation of Disentangled Representation Learning for Texts.00.342021
An unsupervised framework for tracing textual sources of moral change.00.342021
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation.00.342021
Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning.00.342020
Explainable Clinical Decision Support from Text.00.342020
Using word embeddings to improve the privacy of clinical notes.00.342020
Word class flexibility: A deep contextualized approach.00.342020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP.00.342020
An information theoretic view on selecting linguistic probes.00.342020
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection10.372020
Generative Adversarial Networks For Text Using Word2vec Intermediaries00.342019
Centroid-Based Deep Metric Learning For Speaker Recognition10.342019
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power.00.342019
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches10.352019
Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling00.342019
Towards international standards for evaluating machine learning.00.342019
AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues.00.342019
Variations on the Chebyshev-Lagrange Activation Function.00.342019
A survey of word embeddings for clinical text.50.472019
Categorizing Emails Using Machine Learning with Textual Features.10.372019
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus.00.342019
Automatically determining cause of death from verbal autopsy narratives.00.342019
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction.00.342019
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification.00.342018
Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks.00.342018
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech.00.342018
Isolating effects of age with fair representation learning when assessing dementia.00.342018
A novel approach for acoustic estimation of neck fluid volume between men and women.00.342018
Speech in Smartwatch based Audio.00.342018
Augmenting word2vec with latent Dirichlet allocation within a clinical application.00.342018
Challenges with real-world smartwatch based audio monitoring.10.402018
Robustness against the channel effect in pathological voice detection.00.342018
ChainGAN: A sequential approach to GANs.00.342018
Modified mean shift algorithm.00.342018
Dropout during inference as a model for neurological degeneration in an image captioning network.00.342018
Semi-supervised classification by reaching consensus among modalities.00.342018
Learning multiview embeddings for assessing dementia.00.342018
Detecting cognitive impairments by agreeing on interpretations of linguistic features.00.342018
NeuroSpeech: An open-source software for Parkinson's speech analysis.40.582018
Detecting Anxiety through Reddit.40.412017
Designing Speech, Acoustic and Multimodal Interactions.10.632017
On the importance of normative data in speech-based assessment.30.492017
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