A framework for 3D visualisation and manipulation in an immersive space using an untethered bimanual gestural interface. - Yves Boussemart; François Rioux; Frank Rudzicz; Michael Wozniewski; Jeremy R. Cooperstock (VRST, 2004)

Clavius: Bi-Directional Parsing for Generic Multimodal Interaction. - Frank Rudzicz (ACL, 2006)

Put a grammar here: bi-directional parsing in multimodal interaction. - Frank Rudzicz (CHI Extended Abstracts, 2006)

Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech. - Frank Rudzicz (ASSETS, 2007)

A critical assessment of spoken utterance retrieval through approximate lattice representations. - Siavash Kazemian; Frank Rudzicz; Gerald Penn; Cosmin Munteanu (Multimedia Information Retrieval, 2008)

Summarizing multiple spoken documents: finding evidence from untranscribed audio. - Xiaodan Zhu 001; Gerald Penn; Frank Rudzicz (ACL/IJCNLP, 2009)

Applying discretized articulatory knowledge to dysarthric speech. - Frank Rudzicz (ICASSP, 2009)

Phonological features in discriminative classification of dysarthric speech. - Frank Rudzicz (ICASSP, 2009)

Correcting Errors in Speech Recognition with Articulatory Dynamics. - Frank Rudzicz (ACL, 2010)

Adaptive Kernel Canonical Correlation Analysis for Estimation of Task Dynamics from Acoustics. - Frank Rudzicz (ICASSP, 2010)

Identifying articulatory goals from kinematic data using principal differential analysis. - Michael Reimer; Frank Rudzicz (INTERSPEECH, 2010)

Towards a noisy-channel model of dysarthria in speech recognition. - Frank Rudzicz (SLPAT@NAACL, 2010)

Towards a Heuristic Categorization of Prepositional Phrases in English with WordNet - Frank Rudzicz; Serguei A. Mokhov (CoRR, 2010)

Comparing Humans and Automatic Speech Recognition Systems in Recognizing Dysarthric Speech. - Kinfe Tadesse Mengistu; Frank Rudzicz (Canadian AI, 2011)

Adapting acoustic and lexical models to dysarthric speech. - Kinfe Tadesse Mengistu; Frank Rudzicz (ICASSP, 2011)

Using acoustic measures to predict automatic speech recognition performance for dysarthric speakers. - Kinfe Tadesse Mengistu; Frank Rudzicz; Tiago H. Falk (MAVEBA, 2011)

Acoustic transformations to improve the intelligibility of dysarthric speech. - Frank Rudzicz (SLPAT, 2011)

Articulatory Knowledge in the Recognition of Dysarthric Speech. - Frank Rudzicz (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

Production Knowledge in the Recognition of Dysarthric Speech. - Frank Rudzicz (2011)

Sentence recognition from articulatory movements for silent speech interfaces. - Jun Wang 037; Ashok Samal; Jordan R. Green; Frank Rudzicz (ICASSP, 2012)

Whole-Word Recognition from Articulatory Movements for Silent Speech Interfaces. - Jun Wang 037; Ashok Samal; Jordan R. Green; Frank Rudzicz (INTERSPEECH, 2012)

Communication strategies for a computerized caregiver for individuals with Alzheimer's disease. - Frank Rudzicz; Rozanne Wilson; Alex Mihailidis; Elizabeth Rochon; Carol Leonard (SLPAT@HLT-NAACL, 2012)

The TORGO database of acoustic and articulatory speech from speakers with dysarthria. - Frank Rudzicz; Aravind Kumar Namasivayam; Talya Wolff (Lang. Resour. Evaluation, 2012)

Using articulatory likelihoods in the recognition of dysarthric speech. - Frank Rudzicz (Speech Commun., 2012)

Automatic detection of deception in child-produced speech using syntactic complexity features. - Maria Yancheva; Frank Rudzicz (ACL (1), 2013)

Classification of vibratory patterns of the upper airway during sleep. - Hisham Alshaer; Frank Rudzicz; Tiago H. Falk; Wen-Hou Tseng; T. Douglas Bradley (EMBC, 2013)

Variations in respiratory sounds in relation to fluid accumulation in the upper airways. - Azadeh Yadollahi; Frank Rudzicz; Aman Montazeri; T. Douglas Bradley (EMBC, 2013)

Using text and acoustic features to diagnose progressive aphasia and its subtypes. - Kathleen C. Fraser; Frank Rudzicz; Elizabeth Rochon (INTERSPEECH, 2013)

Automatic speech recognition in the diagnosis of primary progressive aphasia. - Kathleen C. Fraser; Frank Rudzicz; Naida L. Graham; Elizabeth Rochon (SLPAT, 2013)

Adjusting dysarthric speech signals to be more intelligible. - Frank Rudzicz (Comput. Speech Lang., 2013)

Automatically identifying trouble-indicating speech behaviors in alzheimer's disease. - Frank Rudzicz; Leila Chan Currie; Andrew Danks; Tejas Mehta; Shunan Zhao (ASSETS, 2014)

Subject independent identification of breath sounds components using multiple classifiers. - Hisham Alshaer; Aditya Pandya; T. Douglas Bradley; Frank Rudzicz (ICASSP, 2014)

Automatic detection of expressed emotion in Parkinson's Disease. - Shunan Zhao; Frank Rudzicz; Leonardo G. Carvalho; Cesar Marquez-Chin; Steven R. Livingstone (ICASSP, 2014)

Combining Different Modalities in Classifying Phonological Categories. - Shunan Zhao; Frank Rudzicz (MLINI@NIPS, 2014)

Speech recognition in Alzheimer's disease with personal assistive robots. - Frank Rudzicz; Rosalie Wang; Momotaz Begum; Alex Mihailidis (SLPAT@ACL, 2014)

Noisy Source Vector Quantization Using Kernel Regression. - Youness Aliyari Ghassabeh; Frank Rudzicz (IEEE Trans. Commun., 2014)

Emotional Affect Estimation Using Video and EEG Data in Deep Neural Networks. - Arvid Frydenlund; Frank Rudzicz (Canadian AI, 2015)

EEG dimensionality reduction in automatic identification of synonymy. - Emilio Parisotto; Youness Aliyari Ghassabeh; Siamak Freydoonnejad; Frank Rudzicz (ICASSP, 2015)

Classifying phonological categories in imagined and articulated speech. - Shunan Zhao; Frank Rudzicz (ICASSP, 2015)

Lateralization in emotional speech perception following transcranial direct current stimulation. - Alex Francois-Nienaber; Jed A. Meltzer; Frank Rudzicz (INTERSPEECH, 2015)

Automatic identification of received language in MEG. - Emilio Parisotto; Youness Aliyari Ghassabeh; Matt J. MacDonald; Adelina Cozma; Elizabeth W. Pang; Frank Rudzicz (INTERSPEECH, 2015)

Remote Speech Technology for Speech Professionals - the CloudCAST initiative. - Phil D. Green; Ricard Marxer; Stuart P. Cunningham; Heidi Christensen; Frank Rudzicz; Maria Yancheva; André Coy; Massimiliano Malavasi; Lorenzo Desideri (SLPAT@Interspeech, 2015)

Automatic dysfluency detection in dysarthric speech using deep belief networks. - Stacey Oue; Ricard Marxer; Frank Rudzicz (SLPAT@Interspeech, 2015)

Using linguistic features longitudinally to predict clinical scores for Alzheimer's disease and related dementias. - Maria Yancheva; Kathleen C. Fraser; Frank Rudzicz (SLPAT@Interspeech, 2015)

Learning measures of semi-additive behaviour. - Hamidreza Chinaei; Mohsen Rais-Ghasem; Frank Rudzicz (CoRR, 2015)

Incremental algorithm for finding principal curves. - Youness Aliyari Ghassabeh; Frank Rudzicz (IET Signal Process., 2015)

Sequential behavior prediction based on hybrid similarity and cross-user activity transfer. - Peng Dai 002; Shen-Shyang Ho; Frank Rudzicz (Knowl. Based Syst., 2015)

Fast incremental LDA feature extraction. - Youness Aliyari Ghassabeh; Frank Rudzicz; Hamid Abrishami Moghaddam (Pattern Recognit., 2015)

2D Psychoacoustic modeling of equivalent masking for automatic speech recognition. - Peng Dai 002; Frank Rudzicz; Ing Yann Soon; Alex Mihailidis; Huijun Ding (Signal Process., 2015)

Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue. - Heidi Christensen; Frank Rudzicz; François Portet; Jan Alexandersson (ACM Trans. Access. Comput., 2015)

Perspectives on Speech and Language Interaction for Daily Assistive Technology: Overall Introduction to the Special Issue Part 3. - François Portet; Heidi Christensen; Frank Rudzicz; Jan Alexandersson (ACM Trans. Access. Comput., 2015)

Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 2 - Speaking and Reading Aids. - Frank Rudzicz; Heidi Christensen; François Portet; Jan Alexandersson (ACM Trans. Access. Comput., 2015)

Speech Interaction with Personal Assistive Robots Supporting Aging at Home for Individuals with Alzheimer's Disease. - Frank Rudzicz; Rosalie Wang; Momotaz Begum; Alex Mihailidis (ACM Trans. Access. Comput., 2015)

Vector-space topic models for detecting Alzheimer's disease. - Maria Yancheva; Frank Rudzicz (ACL (1), 2016)

Designing Speech and Multimodal Interactions for Mobile, Wearable, and Pervasive Applications. - Cosmin Munteanu; Pourang Irani; Sharon L. Oviatt; Matthew P. Aylett; Gerald Penn; Shimei Pan; Nikhil Sharma; Frank Rudzicz; Randy Gomez; Keisuke Nakamura; Kazuhiro Nakadai (CHI Extended Abstracts, 2016)

Snoring sound classification from respiratory signal. - Mehrnaz Shokrollahi; Shumit Saha; Peyman Hadi; Frank Rudzicz; Azadeh Yadollahi (EMBC, 2016)

CloudCAST - Remote Speech Technology for Speech Professionals. - Phil D. Green; Ricard Marxer; Stuart P. Cunningham; Heidi Christensen; Frank Rudzicz; Maria Yancheva; André Coy; Massimiliano Malavasi; Lorenzo Desideri; Fabio Tamburini (INTERSPEECH, 2016)

Speech Recognition in Alzheimer's Disease and in its Assessment. - Luke Zhou; Kathleen C. Fraser; Frank Rudzicz (INTERSPEECH, 2016)

Poster: WearCOPD - Monitoring COPD Patients Remotely using Smartwatches. - Daniyal Liaqat; Ishan Thukral; Parco Sin; Hisham Alshaer; Frank Rudzicz; Eyal de Lara; Robert Wu; Andrea Gershon (MobiSys (Companion Volume), 2016)

Detecting late-life depression in Alzheimer's disease through analysis of speech and language. - Kathleen C. Fraser; Frank Rudzicz; Graeme Hirst (CLPsych@HLT-NAACL, 2016)

An evolutionary approach for segmentation of noisy speech signals for efficient voice activity detection. - Farook Sattar; Frank Rudzicz; Moe Pwint (Artif. Intell. Res., 2016)

An Adaptive Psychoacoustic Model for Automatic Speech Recognition. - Peng Dai 002; Xue Teng; Frank Rudzicz; Ing Yann Soon (CoRR, 2016)

Sex, drugs, and violence. - Stefania Raimondo; Frank Rudzicz (CoRR, 2016)

Predicting health inspection results from online restaurant reviews. - Samantha Wong; Hamidreza Chinaei; Frank Rudzicz (CoRR, 2016)

Speech Production in Speech Technologies: Introduction to the CSL Special Issue. - Karen Livescu; Frank Rudzicz; Eric Fosler-Lussier; Mark Hasegawa-Johnson; Jeff A. Bilmes (Comput. Speech Lang., 2016)

Principal differential analysis for detection of bilabial closure gestures from articulatory data. - Farook Sattar; Frank Rudzicz (Comput. Speech Lang., 2016)

The mean shift algorithm and its relation to kernel regression. - Youness Aliyari Ghassabeh; Frank Rudzicz (Inf. Sci., 2016)

Fast adaptive algorithms for optimal feature extraction from Gaussian data. - Youness Aliyari Ghassabeh; Frank Rudzicz; Hamid Abrishami Moghaddam (Pattern Recognit. Lett., 2016)

Acoustic-articulatory relationships and inversion in sum-product and deep-belief networks. - Frank Rudzicz; Arvid Frydenlund; Sean Robertson; Patricia Thaine (Speech Commun., 2016)

Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search. - Shen-Shyang Ho; Peng Dai 002; Frank Rudzicz (IEEE Trans. Neural Networks Learn. Syst., 2016)

Clear Speech: Technologies that Enable the Expression and Reception of Language - Frank Rudzicz (Clear Speech, 2016)

Cloud-Based Speech Technology for Assistive Technology Applications (CloudCAST). - Stuart P. Cunningham; Phil D. Green; Heidi Christensen; José Joaquín Atria; André Coy; Massimiliano Malavasi; Lorenzo Desideri; Frank Rudzicz (AAATE Conf., 2017)

Detecting Anxiety through Reddit. - Judy Hanwen Shen; Frank Rudzicz (CLPsych@ACL, 2017)

Designing Speech, Acoustic and Multimodal Interactions. - Cosmin Munteanu; Pourang Irani; Sharon L. Oviatt; Matthew P. Aylett; Gerald Penn; Shimei Pan; Nikhil Sharma; Frank Rudzicz; Randy Gomez; Benjamin R. Cowan; Keisuke Nakamura (CHI Extended Abstracts, 2017)

On the impact of non-modal phonation on phonological features. - Milos Cernak; Elmar Nöth; Frank Rudzicz; Heidi Christensen; Juan Rafael Orozco-Arroyave; Raman Arora; Tobias Bocklet; Hamidreza Chinaei; Julius Hannink; Phani Sankar Nidadavolu; Juan Camilo Vásquez-Correa; Maria Yancheva; et al. (ICASSP, 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Raman Arora; Elmar Nöth; Najim Dehak; Heidi Christensen; Frank Rudzicz; Tobias Bocklet; Milos Cernak; Hamid R. Chinaei; Julius Hannink; Phani Sankar Nidadavolu; et al. (ICASSP, 2017)

Reality recalled: Elders, memory and VR. - Martha J. Ladly; Thoreau Bakker; Kartikay Chadha; Glen Farrelly; Katie Micak; Gerald Penn; Frank Rudzicz (VSMM, 2017)

The Effect of Photoperiod on the Mood of Reddit Users. - Kawin Ethayarajh; Frank Rudzicz (Cyberpsychology Behav. Soc. Netw., 2017)

Identifying and Avoiding Confusion in Dialogue with People with Alzheimer's Disease. - Hamidreza Chinaei; Leila Chan Currie; Andrew Danks; Hubert Lin; Tejas Mehta; Frank Rudzicz (Comput. Linguistics, 2017)

On the importance of normative data in speech-based assessment. - Zeinab Noorian; Chloé Pou-Prom; Frank Rudzicz (CoRR, 2017)

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. - Milos Cernak; Juan Rafael Orozco-Arroyave; Frank Rudzicz; Heidi Christensen; Juan Camilo Vásquez-Correa; Elmar Nöth (Comput. Speech Lang., 2017)

Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks. - Serena Jeblee; Akshay Budhkar; Sasa Milic; Jeff Pinto; Chloé Pou-Prom; Krishnapriya Vishnubhotla; Graeme Hirst; Frank Rudzicz (CLEF (Working Notes), 2018)

Learning multiview embeddings for assessing dementia. - Chloé Pou-Prom; Frank Rudzicz (EMNLP, 2018)

Touch-Supported Voice Recording to Facilitate Forced Alignment of Text and Speech in an E-Reading Interface. - Benett Axtell; Cosmin Munteanu; Carrie Demmans Epp; Yomna Aly; Frank Rudzicz (IUI, 2018)

Speech in Smartwatch based Audio. - Daniyal Liaqat; Robert Wu; Andrea Gershon; Hisham Alshaer; Frank Rudzicz; Eyal de Lara (MobiSys, 2018)

Challenges with real-world smartwatch based audio monitoring. - Daniyal Liaqat; Robert Wu; Andrea Gershon; Hisham Alshaer; Frank Rudzicz; Eyal de Lara (WearSys@MobiSys, 2018)

Semi-supervised classification by reaching consensus among modalities. - Zining Zhu 001; Jekaterina Novikova; Frank Rudzicz (CoRR, 2018)

Isolating effects of age with fair representation learning when assessing dementia. - Zining Zhu 001; Jekaterina Novikova; Frank Rudzicz (CoRR, 2018)

Dropout during inference as a model for neurological degeneration in an image captioning network. - Bai Li; Ran Zhang; Frank Rudzicz (CoRR, 2018)

DeepConsensus: using the consensus of features from multiple layers to attain robust image classification. - Yuchen Li 013; Safwan Hossain; Kiarash Jamali; Frank Rudzicz (CoRR, 2018)

ChainGAN: A sequential approach to GANs. - Safwan Hossain; Kiarash Jamali; Yuchen Li 013; Frank Rudzicz (CoRR, 2018)

Robustness against the channel effect in pathological voice detection. - Yi-Te Hsu; Zining Zhu 001; Chi-Te Wang; Shih-Hau Fang; Frank Rudzicz; Yu Tsao 001 (CoRR, 2018)

The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech. - Aparna Balagopalan; Jekaterina Novikova; Frank Rudzicz; Marzyeh Ghassemi (CoRR, 2018)

NeuroSpeech: An open-source software for Parkinson's speech analysis. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (Digit. Signal Process., 2018)

Modified mean shift algorithm. - Youness Aliyari Ghassabeh; Frank Rudzicz (IET Image Process., 2018)

A novel approach for acoustic estimation of neck fluid volume between men and women. - Mehrnaz Shokrollahi; Frank Rudzicz; Daniel Vena; T. Douglas Bradley; Azadeh Yadollahi (Medical Biol. Eng. Comput., 2018)

NeuroSpeech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (SoftwareX, 2018)

Towards international standards for evaluating machine learning. - Frank Rudzicz; P. Alison Paprica; Marta Janczarski (SafeAI@AAAI, 2019)

Extracting relevant information from physician-patient dialogues for automated clinical note taking. - Serena Jeblee; Faiza Khan Khattak; Noah H. Crampton; Muhammad Mamdani; Frank Rudzicz (LOUHI@EMNLP, 2019)

Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. - Jekaterina Novikova; Aparna Balagopalan; Ksenia Shkaruta; Frank Rudzicz (W-NUT@EMNLP, 2019)

Categorizing Emails Using Machine Learning with Textual Features. - Haoran Zhang 003; Jagadish Rangrej; Saad Rais; Michael Hillmer; Frank Rudzicz; Kamil Malikov (Canadian AI, 2019)

Centroid-based Deep Metric Learning for Speaker Recognition. - Jixuan Wang; Kuan-Chieh Wang; Marc T. Law; Frank Rudzicz; Michael Brudno (ICASSP, 2019)

AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues. - Faiza Khan Khattak; Serena Jeblee; Noah H. Crampton; Muhammad Mamdani; Frank Rudzicz (MedInfo, 2019)

Augmenting word2vec with latent Dirichlet allocation within a clinical application. - Akshay Budhkar; Frank Rudzicz (NAACL-HLT (1), 2019)

Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling. - Kathleen C. Fraser; Nicklas Linz; Bai Li; Kristina Lundholm Fors; Frank Rudzicz; Alexandra König; Jan Alexandersson; Philippe H. Robert; Dimitrios Kokkinakis (NAACL-HLT (1), 2019)

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus. - Bai Li; Yi-Te Hsu; Frank Rudzicz (NAACL-HLT (1), 2019)

Detecting cognitive impairments by agreeing on interpretations of linguistic features. - Zining Zhu 001; Jekaterina Novikova; Frank Rudzicz (NAACL-HLT (1), 2019)

Generative Adversarial Networks for Text Using Word2vec Intermediaries. - Akshay Budhkar; Krishnapriya Vishnubhotla; Safwan Hossain; Frank Rudzicz (RepL4NLP@ACL, 2019)

How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction. - Kathleen C. Fraser; Frauke Zeller; David Harris Smith; Saif M. Mohammad; Frank Rudzicz (WASSA@NAACL-HLT, 2019)

Variations on the Chebyshev-Lagrange Activation Function. - Yuchen Li 013; Frank Rudzicz; Jekaterina Novikova (CoRR, 2019)

WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches. - Daniyal Liaqat; Mohamed Abdalla 001; Pegah Abed-Esfahani; Moshe Gabel; Tatiana Son; Robert Wu; Andrea Gershon; Frank Rudzicz; Eyal de Lara (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

A survey of word embeddings for clinical text. - Faiza Khan Khattak; Serena Jeblee; Chloé Pou-Prom; Mohamed Abdalla 001; Christopher Meaney; Frank Rudzicz (J. Biomed. Informatics X, 2019)

Automatically determining cause of death from verbal autopsy narratives. - Serena Jeblee; Mireille Gomes; Prabhat Jha; Frank Rudzicz; Graeme Hirst (BMC Medical Informatics Decis. Mak., 2019)

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. - John Chen; Ian Berlot-Attwell; Xindi Wang 001; Safwan Hossain; Frank Rudzicz (ClinicalNLP@EMNLP, 2020)

Examining the rhetorical capacities of neural language models. - Zining Zhu 001; Chuer Pan; Mohamed Abdalla 001; Frank Rudzicz (BlackboxNLP@EMNLP, 2020)

On Losses for Modern Language Models. - Stephane Aroca-Ouellette; Frank Rudzicz (EMNLP (1), 2020)

Explainable Clinical Decision Support from Text. - Jinyue Feng; Chantal Shaib; Frank Rudzicz (EMNLP (1), 2020)

Word class flexibility: A deep contextualized approach. - Bai Li; Guillaume Thomas; Yang Xu 023; Frank Rudzicz (EMNLP (1), 2020)

An information theoretic view on selecting linguistic probes. - Zining Zhu 001; Frank Rudzicz (EMNLP (1), 2020)

Speaker Diarization with Session-Level Speaker Embedding Refinement Using Graph Neural Networks. - Jixuan Wang; Xiong Xiao; Jian Wu 027; Ranjani Ramamurthy; Frank Rudzicz; Michael Brudno (ICASSP, 2020)

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 (INTERSPEECH, 2020)

Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning. - Jixuan Wang; Xiong Xiao; Jian Wu 027; Ranjani Ramamurthy; Frank Rudzicz; Michael Brudno (INTERSPEECH, 2020)

Identification of Primary and Collateral Tracks in Stuttered Speech. - Rachid Riad; Anne-Catherine Bachoud-Lévi; Frank Rudzicz; Emmanuel Dupoux (LREC, 2020)

Representation Learning for Discovering Phonemic Tone Contours. - Bai Li; Jing Yi Xie; Frank Rudzicz (SIGMORPHON, 2020)

The Ground Truth Trade-Off in Wearable Sensing Studies. - Daniyal Liaqat; Robert Wu; Salaar Liaqat; Eyal de Lara; Andrea Gershon; Frank Rudzicz (CoRR, 2020)

Sequential Explanations with Mental Model-Based Policies. - Arnold Y. S. Yeung; Shalmali Joshi; Joseph Jay Williams; Frank Rudzicz (CoRR, 2020)

Ethics of Artificial Intelligence in Surgery. - Frank Rudzicz; Raeid Saqur (CoRR, 2020)

Semantic coordinates analysis reveals language changes in the AI field. - Zining Zhu 001; Yang Xu 023; Frank Rudzicz (CoRR, 2020)

Using word embeddings to improve the privacy of clinical notes. - Mohamed Abdalla 001; Moustafa Abdalla; Frank Rudzicz; Graeme Hirst (J. Am. Medical Informatics Assoc., 2020)

A Conversational Robot for Older Adults with Alzheimer's Disease. - Chloé Pou-Prom; Stefania Raimondo; Frank Rudzicz (ACM Trans. Hum. Robot Interact., 2020)

TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. - Bai Li; Frank Rudzicz (CMLS, 2021)

How is BERT surprised? Layerwise detection of linguistic anomalies. - Bai Li; Zining Zhu 001; Guillaume Thomas; Yang Xu 023; Frank Rudzicz (ACL/IJCNLP (1), 2021)

An Evaluation of Disentangled Representation Learning for Texts. - Krishnapriya Vishnubhotla; Graeme Hirst; Frank Rudzicz (ACL/IJCNLP (Findings), 2021)

An unsupervised framework for tracing textual sources of moral change. - Aida Ramezani; Zining Zhu 001; Frank Rudzicz; Yang Xu 023 (EMNLP (Findings), 2021)

Coughwatch: Real-World Cough Detection using Smartwatches. - Daniyal Liaqat; Salaar Liaqat; Jun Lin Chen; Tina Sedaghat; Moshe Gabel; Frank Rudzicz; Eyal de Lara (ICASSP, 2021)

Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss. - Haiqi Wei; Frank Rudzicz; David J. Fleet; Teodor P. Grantcharov; Babak Taati (MLHC, 2021)

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. - Jixuan Wang; Kuan-Chieh Wang; Frank Rudzicz; Michael Brudno (NeurIPS, 2021)

Modified Subspace Constrained Mean Shift Algorithm. - Youness Aliyari Ghassabeh; Frank Rudzicz (J. Classif., 2021)

BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. - Demetres Kostas; Stephane Aroca-Ouellette; Frank Rudzicz (CoRR, 2021)

Challenges for Reinforcement Learning in Healthcare. - Elsa Riachi; Muhammad Mamdani; Michael Fralick; Frank Rudzicz (CoRR, 2021)

On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems. - Ian Berlot-Attwell; Frank Rudzicz (CoRR, 2021)

What do writing features tell us about AI papers? - Zining Zhu 001; Bai Li; Yang Xu 023; Frank Rudzicz (CoRR, 2021)

Quantifying the Task-Specific Information in Text-Based Classifications. - Zining Zhu 001; Aparna Balagopalan; Marzyeh Ghassemi; Frank Rudzicz (CoRR, 2021)

Language Modelling via Learning to Rank. - Arvid Frydenlund; Gagandeep Singh; Frank Rudzicz (AAAI, 2022)

Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric. - Ian Berlot-Attwell; Frank Rudzicz (ConvAI@ACL, 2022)

Neural reality of argument structure constructions. - Bai Li; Zining Zhu 001; Guillaume Thomas; Frank Rudzicz; Yang Xu 023 (ACL (1), 2022)

KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling. - Xindi Wang 001; Robert E. Mercer; Frank Rudzicz (ACL (1), 2022)

On the data requirements of probing. - Zining Zhu 001; Jixuan Wang; Bai Li; Frank Rudzicz (ACL (Findings), 2022)

Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation. - Hillary Ngai; Frank Rudzicz (BioNLP@ACL, 2022)

Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. - Malikeh Ehghaghi; Frank Rudzicz; Jekaterina Novikova (W-NUT@COLING, 2022)

Predicting Fine-Tuning Performance with Probing. - Zining Zhu 001; Soroosh Shahtalebi; Frank Rudzicz (EMNLP, 2022)

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. - Aparna Balagopalan; Haoran Zhang 003; Kimia Hamidieh; Thomas Hartvigsen; Frank Rudzicz; Marzyeh Ghassemi (FAccT, 2022)

A Remedy For Distributional Shifts Through Expected Domain Translation. - Jean-Christophe Gagnon-Audet; Soroosh Shahtalebi; Frank Rudzicz; Irina Rish (ICASSP, 2022)

MeSHup: Corpus for Full Text Biomedical Document Indexing. - Xindi Wang 001; Robert E. Mercer; Frank Rudzicz (LREC, 2022)

Detoxifying Language Models with a Toxic Corpus. - Yoon A. Park; Frank Rudzicz (LT-EDI, 2022)

Improving greedy core-set configurations for active learning with uncertainty-scaled distances. - Yuchen Li 013; Frank Rudzicz (CoRR, 2022)

OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization. - Zining Zhu 001; Soroosh Shahtalebi; Frank Rudzicz (CoRR, 2022)

wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data. - Shuja Khalid; Frank Rudzicz (CoRR, 2022)

A Delphi consensus statement for digital surgery. - Kyle Lam; Michael D. Abràmoff; José M. Balibrea; Steven M. Bishop; Richard R. Brady; Rachael Callcut; Manish Chand; Justin Collins; Markus K. Diener; Matthias Eisenmann; Kelly Fermont; Manoel Galvao Neto; et al. (npj Digit. Medicine, 2022)

Who needs context? Classical techniques for Alzheimer's disease detection. - Behrad Taghibeyglou; Frank Rudzicz (ClinicalNLP@ACL, 2023)

Improving Automatic Quotation Attribution in Literary Novels. - Krishnapriya Vishnubhotla; Frank Rudzicz; Graeme Hirst; Adam Hammond (ACL (2), 2023)

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. - Xindi Wang 001; Yufei Wang 003; Can Xu; Xiubo Geng; Bowen Zhang; Chongyang Tao; Frank Rudzicz; Robert E. Mercer; Daxin Jiang (ECAI, 2023)

A State-Vector Framework for Dataset Effects. - Esmat Sahak; Zining Zhu 001; Frank Rudzicz (EMNLP, 2023)

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. - Stephen Obadinma; Faiza Khan Khattak; Shirley Wang; Tania Sidhom; Elaine Lau; Sean Robertson; Jingcheng Niu; Winnie Au; Alif Munim; Karthik Raja K. Bhaskar; Bencheng Wei; Iris Ren; et al. (CoRR, 2023)

RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters. - Shuja Khalid; Frank Rudzicz (CoRR, 2023)

MLHOps: Machine Learning for Healthcare Operations. - Faiza Khan Khattak; Vallijah Subasri; Amrit Krishnan; Elham Dolatabadi; Deval Pandya; Laleh Seyyed-Kalantari; Frank Rudzicz (CoRR, 2023)

SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks. - Shuja Khalid; Frank Rudzicz (CoRR, 2023)

Situated Natural Language Explanations. - Zining Zhu 001; Haoming Jiang; Jingfeng Yang 001; Sreyashi Nag; Chao Zhang 014; Jie Huang 009; Yifan Gao 001; Frank Rudzicz; Bing Yin (CoRR, 2023)

Measuring Information in Text Explanations. - Zining Zhu 001; Frank Rudzicz (CoRR, 2023)

Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification. - Xindi Wang 001; Robert E. Mercer; Frank Rudzicz (LREC/COLING, 2024)

Immunization against harmful fine-tuning attacks. - Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Hassan Sajjad 001; Frank Rudzicz (EMNLP (Findings), 2024)

Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification. - Sudipta Singha Roy; Xindi Wang 001; Robert E. Mercer; Frank Rudzicz (EMNLP (Findings), 2024)

Whister: Using Whisper's representations for Stuttering detection. - Vrushank Changawala; Frank Rudzicz (INTERSPEECH, 2024)

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression. - Sri Harsha Dumpala; Katerina Dikaios; Abraham Nunes; Frank Rudzicz; Rudolf Uher; Sageev Oore (INTERSPEECH, 2024)

Developing Multi-Disorder Voice Protocols: A team science approach involving clinical expertise, bioethics, standards, and DEI. - Anaïs Rameau; Satrajit Ghosh; Alexandros Sigaras; Olivier Elemento; Jean-Christophe Bélisle-Pipon; Vardit Ravitsky; Maria Powell; Alistair Johnson; David Dorr; Philip R. O. Payne; Micah Boyer; Stephanie Watts; et al. (INTERSPEECH, 2024)

Long-form evaluation of model editing. - Domenic Rosati; Robie Gonzales; Jinkun Chen; Xuemin Yu; Melis Erkan; Yahya Kayani; Satya Deepika Chavatapalli; Frank Rudzicz; Hassan Sajjad 001 (NAACL-HLT, 2024)

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation. - Xindi Wang 001; Robert E. Mercer; Frank Rudzicz (NAACL-HLT, 2024)

Representation Noising: A Defence Mechanism Against Harmful Finetuning. - Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Robie Gonzales; Carsten Maple; Subhabrata Majumdar; Hassan Sajjad 001; Frank Rudzicz (NeurIPS, 2024)

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. - Marissa Ramirez de Chanlatte; Phillip Colella; Trevor Darrell; Alexandra Carlson; Peter H. N. de With; Huayu Deng; Shanyan Guan; James Hays; Tim Houben; Thomas Huisman; Nikita Jaipuria; Hans Johansen; et al. (WACV (Workshops), 2024)

Immunization against harmful fine-tuning attacks. - Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; Jan Batzner; Hassan Sajjad 001; Frank Rudzicz (CoRR, 2024)

Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation. - Rohan Deepak Ajwani; Zining Zhu 001; Jonathan Rose; Frank Rudzicz (CoRR, 2024)

LLM-Generated Black-box Explanations Can Be Adversarially Helpful. - Rohan Deepak Ajwani; Shashidhar Reddy Javaji; Frank Rudzicz; Zining Zhu 001 (CoRR, 2024)

NIFTY Financial News Headlines Dataset. - Raeid Saqur; Ken Kato; Nicholas Vinden; Frank Rudzicz (CoRR, 2024)

Representation noising effectively prevents harmful fine-tuning on LLMs. - Domenic Rosati; Jan Wehner; Kai Williams; Lukasz Bartoszcze; David Atanasov; Robie Gonzales; Subhabrata Majumdar; Carsten Maple; Hassan Sajjad 001; Frank Rudzicz (CoRR, 2024)

Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models. - Raeid Saqur; Anastasis Kratsios; Florian Krach; Yannick Limmer; Jacob-Junqi Tian; John Willes; Blanka Horvath; Frank Rudzicz (CoRR, 2024)

Scenarios and Approaches for Situated Natural Language Explanations. - Pengshuo Qiu; Frank Rudzicz; Zining Zhu 001 (CoRR, 2024)

The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories. - Xi Yu Huang; Krishnapriya Vishnubhotla; Frank Rudzicz (CoRR, 2024)

What Do the Circuits Mean? A Knowledge Edit View. - Huaizhi Ge; Frank Rudzicz; Zining Zhu 001 (CoRR, 2024)

How Well Can Knowledge Edit Methods Edit Perplexing Knowledge? - Huaizhi Ge; Frank Rudzicz; Zining Zhu 001 (CoRR, 2024)

Defending against Reverse Preference Attacks is Difficult. - Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad 001 (CoRR, 2024)

Library Learning Doesn't: The Curious Case of the Single-Use "Library". - Ian Berlot-Attwell; Frank Rudzicz; Xujie Si (CoRR, 2024)

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs. - Brandon Jaipersaud; Zining Zhu 001; Frank Rudzicz; Elliot Creager (CoRR, 2024)

Can large language models be privacy preserving and fair medical coders? - Ali Dadsetan; Dorsa Soleymani; Xijie Zeng; Frank Rudzicz (CoRR, 2024)

Context is not key: Detecting Alzheimer's disease with both classical and transformer-based neural language models. - Behrad Taghibeyglou; Frank Rudzicz (Nat. Lang. Process. J., 2024)

CausalLink: An Interactive Evaluation Framework for Causal Reasoning. - Jinyue Feng; Frank Rudzicz (ACL (Findings), 2025)

Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models. - Raeid Saqur; Anastasis Kratsios; Florian Krach; Yannick Limmer; Blanka Horvath; Frank Rudzicz (ICLR, 2025)

ACCORD: Closing the Commonsense Measurability Gap. - François Roewer-Després; Jinyue Feng; Zining Zhu 001; Frank Rudzicz (NAACL (Long Papers), 2025)

MLHOps: Machine Learning Health Operations. - Faiza Khan Khattak; Vallijah Subasri; Amrit Krishnan; Chloé Pou-Prom; Sedef Akinli Koçak; Elham Dolatabadi; Deval Pandya; Laleh Seyyed-Kalantari; Frank Rudzicz (IEEE Access, 2025)

Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework. - Nicholas Vinden; Raeid Saqur; Zining Zhu 001; Frank Rudzicz (CoRR, 2025)

LLM Library Learning Fails: A LEGO-Prover Case Study. - Ian Berlot-Attwell; Frank Rudzicz; Xujie Si (CoRR, 2025)

Trustworthy Medical Question Answering: An Evaluation-Centric Survey. - Yinuo Wang; Robert E. Mercer; Frank Rudzicz; Sudipta Singha Roy; Pengjie Ren; Zhumin Chen; Xindi Wang 001 (CoRR, 2025)