[B1] | Rudzicz F (2016) Clear speech: technologies that enable the expression and reception of language, Synthesis Lectures on Assistive, Rehabilitative, and Health-Preserving Technologies, Vol. 5, No. 1, Pages 1-103, Morgan & Claypool. |
[BC3] | Rudzicz F (2021) Machine Learning for Medicine, In Hashimoto D.A. (Ed.) Artificial Intelligence in Surgery: A Primer for Surgical Practice. New York: McGraw Hill. ISBN: 978-1260452730 | [BC2] | Rudzicz F, Saqur R (2021) Ethics of Artificial Intelligence in Surgery, In Hashimoto D.A. (Ed.) Artificial Intelligence in Surgery: A Primer for Surgical Practice. New York: McGraw Hill. ISBN: 978-1260452730 |
[BC1] | Rudzicz F, Joshi S (2020) Explainable AI for the Operating Theater, In Attalah S (Ed.) Digital Surgery. Springer. ISBN: 978-3-030-49100-0 |
[I3] | Rudzicz F (2016) Toward Dementia Diagnosis via Artificial Intelligence, Today's Geriatric Medicine, 9(2):8, March. |
[I2] | Livescu K, Rudzicz F, Fosler-Lussier E, Hasegawa-Johnson M, Bilmes J (2016) Speech Production in Speech Technologies: Introduction to the CSL Special Issue, Computer Speech & Language, 36:165-172, March. |
[I1] | Christensen H, Rudzicz F, Portet F, Alexandersson J (2015) Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue, ACM Transactions on Accessible Computing (TACCESS), 6(3), June. |
[J59] | Lam K, Abramoff MD, Balibrea JM, Bishop SM, Brady RR, Callcut RA, Chand M, Collins JW, Diener MK, Eisenmann M, Fermont K, Neto MG, Hager GD, Hinchliffe RJ, Horgan A, Jannin P, Langerman A, Logishetty K, Mahadik A, Maier-Hein L, Antona EM, Mascagni P, Mathew RK, Muller-Stich BP, Neumuth T, Nickel F, Park A, Pellino G, Rudzicz F, Shah S, Slack M, Smith MJ, Soomro N, Speidel S, Stoyanov D, Tilney HS, Wagner M, Darzi A, Kinross JM, Purkayastha S (2022) A Delphi consensus statement for digital surgery, Nature Digital Medicine. |
[J58] | Abdalla M, Lu H, Pinzaru B, Rudzicz F, Jaakkimainen L (2022) Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning, PLoS ONE. |
[J57] | Hung PS-P, Zhang JY, Noorani A, Walker MR, Huang M, Zhang JW, Laperriere N, Rudzicz F, Hodaie M (2022) Differential expression of a brain aging biomarker across discrete chronic pain disorders, Pain. |
[J56] | Nasreen S, Wang J, Kwong JC, Crowcroft NS, Sadarangani M, Wilson SE, McGeer A, Kellner JD, Quach C, Morris SK, Sander B, Kus JV, Naus M, Hoang L, Rudzicz F, Fadel S, Marra F (Accepted) Population-based incidence of invasive pneumococcal disease in children and adults in Ontario and British Columbia, 2002–2018: a Canadian Immunization Research Network (CIRN) study, Vaccine. |
[J55] | Kostas D, Aroca-Ouellette S, Rudzicz F (2021) BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data, Frontiers in Human Neuroscience. |
[J54] | Hung PS-P, Noorani A, Zhang JY, Tohyama S, Laperriere N, Davis KD, Mikulis DJ, Rudzicz F, Hodaie M (2021) Regional brain morphology predicts pain relief in trigeminal neuralgia, NeuroImage: Clinical, 31:102706. |
[J53] | Balagopalan A, Eyre B, Robin J, Rudzicz F, Novikova J (2021) Comparing Pre-trained and Feature-based Models for Prediction of Alzheimer’s Disease Based on Speech, Frontiers in Aging Neuroscience. |
[J52] | Yeung AYS, Roewer-Despres F, Rosella L, Rudzicz F (2021) Comparison of Multiple Machine Learning-based Predictions of Growth in COVID-19 Confirmed Infection Cases in Countries using Non-Pharmaceutical Interventions and Cultural Dimensions Data: Development and Validation, JMIR, 23(4) CODE |
[J51] | Sinclair J, Jang E, Rudzicz F (2021) Using Machine Learning to Predict Children’s Reading Comprehension from Linguistic Features Extracted from Speech and Writing, Journal of Educational Psychology. |
[J50] | Bensoussan Y, Pinto J, Crowson M, Walden PR, Rudzicz F, Johns M (2020) Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care, Laryngoscope. |
[J49] | Hussein T, Chauhan P, Dalmer N, Rudzicz F, Boger J (2020) Exploring Interface Design to Support Caregivers' Needs and Feelings of Trust in Online Content, RATE Journal. |
[J48] | Kostas D, Rudzicz F (2020) Thinker Invariance: Enabling Deep Neural Networks for BCI Across More People, Journal of Neural Engineering, 17(5). |
[J47] | Robin J, Harrison JE, Kaufman LD, Rudzicz F, Simpson W, Yancheva M (2020) Evaluation of speech-based digital biomarkers: review and recommendations, Digital Biomarkers, 4(3):99-108. |
[J46] | Abdalla Moh, Abdalla Mou, Hirst G, Rudzicz F (2020) Exploring the privacy-preserving properties of word embeddings: Algorithmic validation, JMIR, 22(7):e18055. |
[J45] | Abdalla Moh, Abdalla Mou, Rudzicz F, Hirst G (2020) Using Word Embeddings to Improve the Privacy of Clinical Notes, JAMIA, 27(6):901-907. |
[J44] | Clarkson PM, Ponn J, Richardson GD, Rudzicz F, Tsang A, Wang J (2020)A Textual Analysis of U.S. Corporate Social Responsibility Reports, Abacus, 56(1):3-34. |
[J43] | Khalid S, Goldenberg M, Grantcharov T, Taati B, Rudzicz F (2020)Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance, JAMA Network Open, 3(3). |
[J42] | Ghassabeh YA, Rudzicz F (2020)Modified Subspace Constrained Mean Shift Algorithm, Journal of Classification. |
[J41] | Pou-Prom C, Raimondo S, Rudzicz F (2020)A conversational robot for older adults with Alzheimer's disease, Transactions on Human-Robot Interaction, 9(3). |
[J40] | Smith MJ, Axler R, Bean S, Rudzicz F, Shaw J (2020)Four Equity Considerations for AI in Public Health, Bulletin of the World Health Organization, 98:290-292. |
[J39] | Sereshkey AR, Yousefi R, Wong AT, Rudzicz F, Chau T (2019)Development of a ternary hybrid fNIRS-EEG brain-computer interface based on imagined speech, Brain-Computer Interfaces, 6:4:128-140. |
[J38] | Khattak FK, Jeblee S, Pou-Prom C, Abdalla M, Meaney C, Rudzicz F (2019) A survey of word embeddings for clinical text, Journal of Biomedical Informatics, 4, December. |
[J37] | Ghassemi M, Goldenberg A, Morris QD, Rudzicz F, Wang B, Zemel R, Dolatabadi E, Gibson GA, Paprica PA (2019) Accessible data, health AI, and the human right to benefit from science and its applications, Health Law in Canada, 40(1):37-43. |
[J36] | Jeblee S, Gomes M, Jha P, Rudzicz F, Hirst G (2019) Automatically determining cause of death from verbal autopsy narratives, BMC Medical Informatics, 9:127. |
[J35] | Gordon L, Grantcharov T, Rudzicz F (2019) Explainable artificial intelligence for safe intraoperative decision support, JAMA Surgery, 154(11):1064-1065. |
[J34] | Shaw J, Rudzicz F, Jamieson T, Goldfarb, A (2019) Artificial intelligence and the implementation challenge, Journal of Medical Internet Research, 21(7):e13659. |
[J33] | Komeili M, Pou-Prom C, Liaqat D, Fraser K, Yancheva M, Rudzicz F (2019) Talk2Me: Automated linguistic data collection for personal assessment, PLoS ONE, 14(3):e0212342. DATA CODE |
[J32] | Kostas D, Pang E, Rudzicz F (2019) Machine learning for MEG during speech tasks, Nature, 9:1609. CODE |
[J31] | Rohringer T, Budhkar A, Rudzicz F (2019) Privacy versus artificial intelligence in medicine, University of Toronto Medical Journal, 96(1). |
[J30] | Gordon L, Austin P, Rudzicz F, Grantcharov T (2019) MySurgeryRisk and Machine Learning: A Promising Start to Real-time Clinical Decision Support, Annals of Surgery, 269(1):14-15. |
[J29] | Aliyari Ghassabeh Y, Rudzicz F (2018) Modified mean shift algorithm, IET Image Processing, 12(12):2172-2177. |
[J28] | Wu R, Liaqat D, De Lara E, Son T, Rudzicz F, Alshaer H, Abed P, Gershon A (2018) Feasibility of using a smartwatch to intensively monitor patients with COPD, JMIR Mhealth Uhealth, 6(6). |
[J27] | Orozco-Arroyave JR, Vasquez-Correa JC, Vargas-Bonilla JF, Arora R, Dehak N, Nidadavolu PS, Christensen H, Rudzicz F, Yancheva M, Chinaei H, Vann A, Vogler N, Bocklet T, Cernak M, Hannink J, Noth E (2018) NeuroSpeech: An open-source software for Parkinson's speech analysis, Digital Signal Processing, 77:207-221. CODE |
[J26] | Shokrollahi M, Rudzicz F, Vena D, Bradley DT, Yadollahi A (2017) A novel approach for acoustic estimation of neck fluid volume between men and women, Medical & Biological Engineering & Computing, 56(1):113-123. |
[J25] | Abdalla M, Rudzicz F, Hirst G (2017) Rhetorical structure and Alzheimer's disease, Aphasiology, 32(1):41-60. |
[J24] | Cernak M, Orozco-Arroyave JR, Rudzicz F, Christensen H, Nöth E, Vasquez-Correa, JC (2017) Characterisation of voice quality of Parkinson's disease using differential phonological posterior features, Computer Speech & Language, 46:196-208. |
[J23] | Ethayarajh K, Rudzicz F (2017) The effect of photoperiod on the mood of Reddit users, Cyberpsychology, Behavior, and Social Networking, 20(4):238-245, April. |
[J22] | Chinaei H, Danks A, Mehta T, Chan-Currie L, Lin H, Rudzicz F (2017) Identifying and avoiding confusion in dialogue with people with Alzheimer's disease, Computational Linguistics, 43(2):377-406. |
[J21] | Rudzicz F, Frydenlund A, Robertson S, Thaine P (2016) Acoustic-articulatory relationships and inversion in sum-product and deep-belief networks, Speech Communication, 79:61-73, May. |
[J20] | Ghassabeh YA, Rudzicz F (2016) The mean shift algorithm and its relation to kernel regression, Information Sciences, 348:198-208. |
[J19] | Multani N, Rudzicz F, Wong WYS, Namasivayam AK, Van Lieshout P (2016) Random item generation is affected by age, Journal of Speech, Language, and Hearing Research, 59:1172-1178. |
[J18] | Ghassabeh YA, Rudzicz F, Moghaddam HA (2016) Fast adaptive algorithms for optimal feature extraction from Gaussian data, Pattern Recognition Letters, 70:73-79. |
[J17] | Ben-David B, Multani N, Shakuf V, Rudzicz F, Van Lieshout P (2016) Prosody and semantics are separate but not separable channels in the perception of emotional speech: Test of Rating of Emotions in Speech (T-RES), Journal of Speech, Language, and Hearing Research, 59:72-89. |
[J16] | Sattar F, Rudzicz F (2016) Principal differential analysis for detection of bilabial closure gestures from articulatory data, Computer Speech & Language, 36:294-306. |
[J15] | Fraser K, Meltzer JA, Rudzicz F (2015) Linguistic features differentiate Alzheimer's from controls in narrative speech, Journal of Alzheimer's Disease, 49(3):407-422. Baycrest Research in Print award |
[J14] | Ghassabeh YA, Rudzicz F (2015) An incremental algorithm for finding principal curves, IET Signal Processing, 9(7):521-528, September. |
[J13] | Dai P, Rudzicz F, Soon IY, Mihailidis A, Ding H (2015) 2D Psychoacoustic modeling of equivalent masking for automatic speech recognition, Signal Processing, 115:9-19, October. |
[J12] | Rudzicz F, Wang R, Begum M, Mihailidis A (2015) Speech interaction with personal assistive robots supporting aging-at-home for individuals with Alzheimer's disease, ACM Transactions on Accessible Computing, 7(2). (invited talk) |
[J11] | Ho S-S, Dai P, Rudzicz F (2015) Manifold learning for embedding multivariate variable-length sequences with an application to similarity search, IEEE Transactions on Neural Networks and Learning Systems, 27(6):1333-1344. |
[J10] | Dai P, Ho S-S, Rudzicz F (2015) Sequential behavior prediction based on hybrid similarity and cross-user activity transfer, Knowledge-Based Systems, 77:29-39. |
[J9] | Ghassabeh YA, Rudzicz F, Moghaddam HA (2015) Fast incremental LDA feature extraction, Pattern Recognition, 48(6):1999-2012, June. |
[J8] | Namasivayam AK, Pukonen M, Goshulak D, Hard J, Rudzicz F, Rietveld T, Maassen B, Kroll R, Van Lieshout PHHM (2015), Treatment intensity and childhood apraxia of speech, International Journal of Language Communication Disorders, 50(4):529-546, July. |
[J7] | Ghassabeh YA, Rudzicz F (2014) Noisy source vector quantization using kernel regression, IEEE Transactions on Communications, 62(11):3825-3834. |
[J6] | Yadollahi A, Rudzicz F, Mahallati S, Coimbra M, Bradley TD (2014) Acoustic estimation of neck fluid volume, Annals of Biomedical Engineering, 42(10):2132-2142. |
[J5] | Rudzicz F (2013) Adjusting dysarthric speech signals to be more intelligible, Computer Speech & Language, 27(6):1163-1177, September. |
[J4] | Rudzicz F, Hirst G, Van Lieshout P (2012) Vocal tract representation in the recognition of cerebral palsied speech, Journal of Speech, Language, and Hearing Research, 55(4):1190-1207, August. DATA |
[J3] | Rudzicz F, Namasivayam AK, Wolff T (2012) The TORGO database of acoustic and articulatory speech from speakers with dysarthria, Language Resources and Evaluation, 46(4):523-541. DATA |
[J2] | Rudzicz F (2012) Using articulatory likelihoods in the recognition of dysarthric speech, Speech Communication, 54(3):430-444, March. DATA |
[J1] | Rudzicz F (2011) Articulatory knowledge in the recognition of dysarthric speech, IEEE Transactions on Audio, Speech, and Language Processing, 19(4):947-960, May. DATA |
[C112] | Zhu Z, Shahtalebi S, Rudzicz F (2022) OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization, SCIS at ICML 2022. |
[C111] | Balagopalan A, Zhang H, Hamidieh K, Hartvigsen T, Rudzicz F, Ghassemi M (2022) The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations, FAccT22. |
[C110] | Wang X, Mercer RE, Rudzicz F (2022) MeSHup: Corpus for Full Text Biomedical Document Indexing, LREC. |
[C109] | Zhu Z, Shahtalebi S, Rudzicz F (2022) Predicting Fine-Tuning Performance with Probing, BigScience at ACL. |
[C108] | Park Y, Rudzicz F (2022) Detoxifying Language Models with a Toxic Corpus, LT-EDI at ACL. |
[C107] | Berlot-Attwell I, Rudzicz F (2022)Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric, ConvAI at ACL. |
[C106] | Ngai H, Rudzicz F (2022)Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation, BioNLP. |
[C105] | Zhu Z, Wang J, Li B, Rudzicz F (2022)On the data requirements of probing, Findings of the ACL. |
[C104] | Li B, Zhu Z, Thomas G, Rudzicz F, Xu Y (2022)Neural reality of argument structure constructions, ACL. |
[C103] | Wang X, Mercer B, Rudzicz F (2022)KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling, ACL. |
[C102] | Gagnon-Audet J-C, Shahtalebi S, Rudzicz F, Rish I (2022)Meth: A remedy for distributional shifts through domain translation, ICASSP. |
[C101] | Frydenlund A, Singh G, Rudzicz F (2022) Language Modelling via Learning to Rank, AAAI. |
[C100] | Wang J, Wang K-C, Rudzicz F, Brudno M (2021) Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation, NeurIPS. |
[C99] | Ramezani A, Zhu Z, Rudzicz F, Xu Y (2021) An unsupervised framework for tracing textual sources of moral change, EMNLP. |
[C98] | Wei H, Rudzicz F, Fleet D, Grantcharov T, Taati B (2021) Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss, Machine Learning for Healthcare (MLHC2021). |
[C97] | Vishnubhotla KP, Hirst G, Rudzicz F (2021) An Evaluation of Disentangled Representation Learning for Texts, Findings of the ACL. |
[C96] | Li B, Zhu Z, Thomas G, Xu Y, Rudzicz F (2021) How is BERT surprised? Layerwise detection of linguistic anomalies, ACL-IJCNLP 2021. |
[C95] | Li B, Rudzicz F (2021) TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction, CMCL at NAACL21. Best student paper award |
[C94] | Liaqat D, Liaqat S, Chen JL, Sedaghat T, Gabel M, Rudzicz F, de Lara E (2021) Coughwatch: Real-world cough detection using smartwatches, ICASSP 2021. |
[C93] | Balagopalan A, Naumann T, Rudzicz F, Ghassemi M (2020) Opening a Can of Words: Train-Test Overlaps in Clinical Natural Language Processing Datasets, ML4H 2020. |
[C92] | Chen J, Berlot-Attwell I, Wang X, Hossain S, Rudzicz F (2020) Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP, ClinicalNLP workshop at EMNLP 2020. Best paper award |
[C91] | Zhu Z, Pan C, Abdalla M, Rudzicz F (2020) Examining the rhetorical capacities of neural language models, BlackboxNLP workshop at EMNLP 2020. |
[C90] | Aroca-Ouellette S, Rudzicz F (2020) On Losses for Modern Language Models, EMNLP. |
[C89] | Feng J, Shaib C, Rudzicz F (2020) Explainable Clinical Decision Support from Text, EMNLP. |
[C87] | Li B, Thomas G, Xu Y, Rudzicz F (2020) Word class flexibility: A deep contextualized approach, EMNLP. |
[C86] | Zhu Z, Rudzicz F (2020) An information theoretic view on selecting linguistic probes, EMNLP. |
[C85] | Wang J, Xiao X, Wu J, Ramamurthy R, Rudzicz F, Brudno M (2020) Speaker attribution with voice profiles by graph-based semi-supervised learning, INTERSPEECH. |
[C84] | Balagopalan A, Eyre B, Rudzicz F, Novikova J (2020) To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection, INTERSPEECH. |
[C83] | Yeung AYS, Joshi S, Williams JJ, Rudzicz F (2020) Sequential Explanations with Mental Model-Based Policies, ICML 2020 Workshop on Human Interpretability in Machine Learning (WHI). |
[C82] | Li B, Xie JY, Rudzicz F (2020) Representation Learning for Discovering Phonemic Tone Contours, SIGMORPHON at ACL 2020. |
[C81] | Riad R, Bachoud-Lévi, Rudzicz F, Dupoux E (2020) Identification of primary and collateral tracks in stuttered speech, LREC. |
[C80] | Wang J, Xiao X, Wu J, Ramamurthy R, Rudzicz F, Brudno M (2020) Speaker diarization with session-level speaker embedding refinement using graph neural networks, ICASSP2020. |
[C79] | Rudzicz F, Ng R, Wu R, Carenini G, Ho K, Abdalla M (2020) Natural Language Processing with Wearables in Healthcare: Opportunities, challenges, and considerations, eTELEMED 2020, March. Best paper award |
[C78] | Jeblee S, Khattak FK, Crampton N, Mamdani M, Rudzicz F (2019) Extracting relevant information from physician-patient dialogues for automated clinical note taking, LOUHI 2019: The Tenth International Workshop on Health Text Mining and Information Analysis, November. |
[C77] | Liaqat D, Abdalla M, Abed-Esfahani P, Gabel M, Son T, Wu R, Gershon A, Rudzicz F, De Lara E (2019) WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches, ACM conference on Interactive, Mobile, Wearable and Ubiquitous Technologies 3(2), June. |
[C76] | Budhkar A, Vishnubhotla K, Hossain S, Rudzicz F (2019) Generative Adversarial Networks for text using word2vec intermediaries, The 4th Workshop on Representation Learning for NLP (RepL4NLP) at ACL 2019. |
[C75] | Fraser KC, Zeller F, Harris-Smith D, Mohammad S, Rudzicz F (2019) How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction, The 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2019). |
[C74] | Khattak FK, Pou-Prom C, Wu R, Rudzicz F (2019) Predicting ICU transfers using text messages between nurses and doctors, ClinicalNLP 2019. |
[C73] | Khattak FK, Jeblee S, Crampton N, Mamdani M, Rudzicz F (2019) AutoScribe: Extracting clinically pertinent information from patient-clinician dialogues, MedInfo. |
[C72] | Zhu Z, Novikova J, Rudzicz F (2019) Detecting cognitive impairments by agreeing on interpretations of linguistic features, NAACL. |
[C71] | Fraser KC, Linz N, Li B, Fors KL, Rudzicz F, Konig A, Alexandersson J, Robert P, Kokkinakis D (2019) Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling, NAACL. |
[C70] | Li B, Hsu Y-T, Rudzicz F (2019) Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus, NAACL. |
[C69] | Budhkar A, Rudzicz F (2019) Augmenting word2vec with latent Dirichlet allocation within a clinical application, NAACL. |
[C68] | Wang J, Wang KC, Law MT, Rudzicz F, Brudno M (2019) Centroid-based deep metric learning for speaker recognition, ICASSP. |
[C67] | Rudzicz F, Paprica PA, Janczarski M (2019) Towards international standards for evaluating machine learning, SafeAI at AAAI19. |
[C66] | Jeblee S, Budhkar A, Milic S, Pinto J, Pou-Prom C, Vishnubhotla K, Hirst G, Rudzicz F (2018) Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks, CLEF 2018 eHealth Task 1. |
[C65] | Zhu Z, Novikova J, Rudzicz F (2018) Semi-supervised classification by reaching consensus among modalities, IRASL at NeurIPS. |
[C64] | Balagopalan A, Novikova J, Rudzicz F, Ghassemi M (2018) The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech, ML4H at NeurIPS. |
[C63] | Hsu Y-T, Zhu Z, Wang C-T, Fang S-H, Rudzicz F, Tsao Y (2018) Robustness against the channel effect in pathological voice detection, ML4H at NeurIPS. |
[C62] | Pou-Prom C, Rudzicz F (2018) Learning multiview embeddings for assessing dementia, EMNLP 2018. |
[C61] | Clarkson P, Ponn J, Richardson G, Rudzicz F, Tsang A, Wang J (2018) A Textual Analysis of U.S. Corporate Social Responsibility Reports, 2018 Canadian Academic Accounting Association (CAAA) Annual Conference. |
[C60] | Wambua M, Raimondo S, Boger J, Polgar J, Chinaei H, Rudzicz F (2018) Interactive Search through Iterative Refinement, 2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR'18) at SIGIR 2018, 12 July, Ann Arbor Michigan, USA |
[C59] | Liaqat D, Wu R, Gershon A, Alshaer H, Rudzicz F, de Lara E (2018) Challenges with Real-World Smartwatch based Audio Monitoring, WearSys’18: 4th ACM Workshop on wearable systems and applications, June 10, 2018, Munich, Germany. |
[C58] | Liaqat D, Wu R, Gershon A, Alshaer H, Rudzicz F, de Lara E (2018) Speech in Smartwatch based Audio, MobiSys ’18: The 16th Annual International Conference on Mobile Systems, Applications, and Services, June 10–15, 2018, Munich, Germany. |
[C57] | Ladly MJ, Bakker T, Chadha K, Farrelly G, Micak K, Penn G, Rudzicz F (2018) Reality Recalled: Elders, Memory and VR, Proceedings of the 2018 IEEE International Conference on Virtual Systems and Multimedia (VSMM). |
[C56] | Axtell RB, Munteanu C, Epp CD, Rudzicz F, Aly Y (2018) Touch-Supported Voice Recording to Facilitate Forced Alignment of Text and Speech in an E-Reading Interface, Proceedings of the 2018 ACM International Conference on Intelligent User Interfaces. |
[C55] | Noorian Z, Pou-Prom C, Rudzicz F (2017) On the importance of normative data in speech-based assessment, ML4H, Machine Learning for Health Workshop at NIPS 2017. |
[C54] | Shen JH, Rudzicz F (2017) Detecting Anxiety through Reddit, Proceedings of CLPsych at ACL2017. |
[C53] | Cernak M, Noeth E, Rudzicz F, Christensen H, Orozco-Arroyave JR, Arora R, Bocklet T, Chinaei H, Hannink J, Nidadavolu PS, Vasquez JC, Yancheva M, Vann A, Vogler N (2017) On the impact of non-modal phonation on phonological features, Proceedings of ICASSP 2017. |
[C52] | Vasquez-Correa JC, Orozco-Arroyave JR, Arora R, Noeth E, Dehak N, Christensen H, Rudzicz F, Bocklet T, Cernak M, Chinaei H, Hannick J, Nidadavolu PS, Yancheva M, Vann A, Vogler N (2017) Multi-view representation learning via GCCA for multimodal analysis of Parkinson's disease, Proceedings of ICASSP 2017. |
[C51] | Kim SW, Rudzicz F (2016) Combining word prediction and r-ary Huffman coding for text entry, Proceedings of the Seventh Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2016) at Interspeech 2016. |
[C50] | Green P, Marxer R, Cunningham S, Christensen H, Rudzicz F, Yancheva M, Coy A, Malavasi M, Desideri L, Tamburini F (2016) CloudCAST - Remote speech technology for speech professionals, Proceedings of Interspeech 2016. |
[C49] | Zhou L, Fraser K, Rudzicz F (2016) Speech recognition in Alzheimer's disease and in its assessment, Proceedings of Interspeech 2016. |
[C48] | Yancheva M, Rudzicz F (2016) Vector-space topic models for detecting Alzheimer's disease, Proceedings of the annual meeting of the Association for Computational Linguistics (ACL16). |
[C47] | Shokrollahi M, Saha S, Mohammadabadi PH, Rudzicz F, Yadollahi A (2016) Snoring Sound Detection from Respiratory Signal, Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. |
[C46] | Fraser K, Rudzicz F, Hirst G (2016) Detecting late-life depression in Alzheimer's disease through analysis of speech and language, Proceedings of the Third Computational Linguistics and Clinical Psychology Workshop (CLPsych) at NAACL. |
[C45] | Green P, Marxer R, Cunningham S, Christensen H, Rudzicz F, Yancheva M, Coy A, Malavasi M, Desideri L (2015) Remote speech technology for speech professionals - the CloudCAST initiative, Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015. |
[C44] | Oue S, Marxer R, Rudzicz F (2015) Automatic dysfluency detection in dysarthric speech using deep belief networks, Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015. |
[C43] | Yancheva M, Fraser K, Rudzicz F (2015) Using linguistic features longitudinally to predict clinical scores for Alzheimer's disease and related dementias, Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015. |
[C42] | Francois-Nienaber A, Meltzer JA, Rudzicz F (2015) Lateralization in emotional speech perception following transcranial direct current stimulation, Proceedings of Interspeech 2015. |
[C41] | Parisotto E, Ghassabeh YA, MacDonald MJ, Cozma A, Pang EW, Rudzicz F (2015) Automatic identification of received language in MEG, Proceedings of Interspeech 2015. |
[C40] | Zeller F, Harris Smith D, Duong JA, Alanna M, Bagheri E, Rudzicz F (2015) Social media in human-robot-interaction, Proceedings of the 2015 International Conference on Social Media & Society. |
[C39] | Frydenlund A, Rudzicz F (2015) Emotional affect estimation using video and EEG data in deep neural networks, Proceedings of Canadian AI 2015. |
[C38] | Parisotto E, Ghassabeh YA, Freydoonnejad S, Rudzicz F (2015) EEG dimensionality reduction in automatic identification of synonymy, In Proceedings of ICASSP 2015. |
[C37] | Zhao S, Rudzicz F (2015) Classifying phonological categories in imagined and articulated speech, Proceedings of ICASSP 2015. DATA |
[C36] | Zhao S, Rudzicz F (2014) Combining different modalities in classifying phonological categories, Proceedings of MLINI2014, NIPS workshop on machine learning and interpretation in neuroimaging, Montreal Canada. |
[C35] | Rudzicz F, Chan-Currie L, Danks A, Mehta T, Zhao S (2014) Automatically identifying trouble-indicating speech behaviors in Alzheimer's disease, Proceedings of ACM ASSETS, Rochester NY. |
[C34] | Rudzicz F, Wang R, Begum M, Mihailidis A (2014) Speech recognition in Alzheimer's disease with personal assistive robots, Proceedings of the Fifth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2014) at the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), 26 June, Baltimore USA. |
[C33] | Zhao S, Rudzicz F, Carvalho LG, Márquez-Chin C, Livingstone S (2014) Automatic detection of expressed emotion in Parkinson's disease, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP14), 4-9 May, Firenze Italy. |
[C32] | Alshaer H, Pandya A, Bradley TD, Rudzicz F (2014) Subject independent identification of breath sounds components using multiple classifiers, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP14), 4--9 May, Firenze Italy. |
[C31] | Fraser K, Rudzicz F, Rochon E (2013) Using text and acoustic features to diagnose progressive aphasia and its subtypes, Proceedings of Interspeech 2013, pp. 2177-2181, 25-29 August, Lyon France. ISCA Best Student Paper award |
[C30] | Fraser K, Rudzicz F, Graham N, Rochon E (2013) Automatic speech recognition in the diagnosis of primary progressive aphasia, Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2013), 21-22 August, Grenoble France. |
[C29] | Yancheva M, Rudzicz F (2013) Automatic detection of deception in child-produced speech using syntactic complexity features, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), 4-9 August, Sofia Bulgaria. |
[C28] | Yadollahi A, Rudzicz F, Montazeri A, Bradley TD (2013) Variations in respiratory sounds in relation to fluid accumulation in the upper airways, Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3-7 July, Osaka Japan. |
[C27] | Alshaer H, Rudzicz F, Falk TH, Tseng W-H, Bradley TD (2013) Classification of vibratory patterns of the upper airway during sleep, Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3-7 July, Osaka Japan. |
[C26] | Neufeld C, Craioveanu R, Rudzicz F, Wong W, Van Lieshout P (2012) Perceptually induced speech motor representations, Proceedings of the International Symposium on Imitation and Convergence in Speech, 3-5 September, Aix-en-Provence France. |
[C25] | Wang J, Samal A, Green JR, Rudzicz F (2012) Whole-word recognition from articulatory movements for silent speech interfaces, Proceedings of Interspeech 2012, September 9-13, Portland Oregon. |
[C24] | Rudzicz F, Wilson R, Mihailidis A, Rochon E, Leonard C (2012) Communication strategies for a computerized caregiver for individuals with Alzheimer's disease, Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2012) at the 13th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2012), 8 June, Montreal Canada. |
[C23] | Wang J, Samal A, Green JR, Rudzicz F (2012) Sentence recognition from articulatory movements for silent speech interfaces, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP12), March 25-30, Kyoto, Japan. |
[C22] | Mengistu K, Rudzicz F, Falk T (2011) Using acoustic measures to predict automatic speech recognition performance for dysarthric speakers, Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications at INTERSPEECH 2011, August, Firenze Italy. |
[C21] | Rudzicz F (2011) Acoustic transformations to improve the intelligibility of dysarthric speech, Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2011) at the ACL Conference on Empirical Methods in Natural Language Processing (EMNLP2011), 30 July, Edinburgh Scotland. |
[C20] | Namasivayam AK, Van Lieshout P, Kroll R, Le J, Rudzicz F (2011) Voice onset self-monitoring and evaluation skills in persons who stutter, Proceedings of the 2011 International Speech Production Seminar (ISSP11), June 20-23, Montreal Canada. |
[C19] | Mengistu KT, Rudzicz F (2011) Comparing humans and automatic speech recognition systems in recognizing dysarthric speech, Proceedings of the Canadian Conference on Artificial Intelligence, May 25-27, St. John's Canada. |
[C18] | Mengistu KT, Rudzicz F (2011) Adapting acoustic and lexical models to dysarthric speech, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP11), May 22--27, Prague, Czech Republic. |
[C17] | Rudzicz F (2010) Learning mixed acoustic/articulatory models for disabled speech, Proceedings of the Workshop on Machine Learning for Assistive Technologies at the twenty-fourth annual conference on Neural Information Processing Systems (NIPS 2010), pages 70-78, December, Whistler, British Columbia. |
[C16] | Reimer M, Rudzicz F (2010) Identifying articulatory goals from kinematic data using principal differential analysis, Proceedings of Interspeech 2010, pages 1608-1611, September 26-30, Makuhari Japan. |
[C15] | Rudzicz F (2010) Correcting errors in speech recognition with articulatory dynamics, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), pages 60--68, July 11-16, Uppsala Sweden. |
[C14] | Rudzicz F (2010) Towards a noisy-channel model of dysarthria in speech recognition, Proceedings of the First Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) at the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2010), June 2-6, Los Angeles California, pages 80-88. |
[C13] | Rudzicz F (2010) Adaptive kernel canonical correlation analysis for estimation of task dynamics from acoustics, Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'10), March 14-19, Dallas, Texas. |
[C12] | Zhu X, Penn G, Rudzicz F (2009) Summarizing multiple spoken documents: finding evidence from untranscribed audio, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, August 2009, pp. 549-557, Suntec, Singapore. |
[C11] | Rudzicz F (2009) Applying discretized articulatory knowledge to dysarthric speech, Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09), April 19-24, Taipei, Taiwan. |
[C10] | Rudzicz F (2009) Phonological features in discriminative classification of dysarthric speech, Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09), April 19-24, Taipei, Taiwan. |
[C9] | Rudzicz F, Van Lieshout P, Hirst G, Penn G, Shein F, Wolff T (2008) Towards a Comparative Database of Dysarthric Articulation, Proceedings of the International Speech Production Seminar (ISSP08), December 8-12, Strasbourg France. |
[C8] | Kazemian S, Rudzicz F, Penn G, Munteanu C (2008) A critical assessment of spoken utterance retrieval through approximate lattice representations, Proceedings of the ACM International Conference on Multimedia Information Retrieval (MIR2008), October 30-31, Vancouver Canada. |
[C7] | Rudzicz F (2007) Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech, Proceedings of Ninth International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '07), October 15-17 2007, Tempe USA. |
[C6] | Rudzicz F (2006) Clavius: Bi-directional parsing for generic multimodal interaction, Proceedings of COLING-ACL 2006, July 17-21 2006, Sydney Australia. |
[C5] | Rudzicz F (2006) Put a grammar here: Bi-directional parsing in multimodal interaction, Proceedings of the CHI 2006 Extended Abstracts, Montréal, Québec. |
[C4] | Boussemart Y, Rioux F, Rudzicz F, Wozniewski M, Cooperstock J (2004) A framework for 3D visualisation and manipulation in an immersive space using an untethered bimanual gestural interface, Proceedings of the ACM Symposium on Virtual Reality Software and Technology, Hong Kong. |
[C3] | Rioux F, Rudzicz F, Wozniewski M (2004) Palettes transparentes hybrides appliquées aux environnements immersifs, Proceedings of the 16th Conférence Francophone sur l'Interaction Homme-Machine, Namur, Belgium. |
[C2] | Rioux F, Rudzicz F, Wozniewski M (2004) The Modellers' Apprentice - The toolglass metaphor in an immersive environment, Proceedings of the 18th British HCI Group Annual Conference, Leeds, UK. |
[C1] | Bergler S, Witte R, Khalife M, Li Z, Rudzicz F (2003) Using knowledge-poor coreference resolution for text summarization, Proceedings of HLT-NAACL 2003 Text Summarization Workshop (DUC 03), Edmonton AB, Canada. |