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ORCIDFrank Rudzicz
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- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[j35]Behrad Taghibeyglou
, Frank Rudzicz:
Context is not key: Detecting Alzheimer's disease with both classical and transformer-based neural language models. Nat. Lang. Process. J. 6: 100046 (2024)- [c105]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification. LREC/COLING 2024: 2006-2016 - [c104]Domenic Rosati, Robie Gonzales, Jinkun Chen, Xuemin Yu, Yahya Kayani, Frank Rudzicz, Hassan Sajjad:
Long-form evaluation of model editing. NAACL-HLT 2024: 3749-3780 - [c103]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation. NAACL-HLT 2024: 4881-4891 - [c102]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, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang:
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) 2024: 762-766 - [i82]Domenic Rosati, Robie Gonzales, Jinkun Chen, Xuemin Yu, Melis Erkan, Yahya Kayani, Satya Deepika Chavatapalli, Frank Rudzicz, Hassan Sajjad:
Long-form evaluation of model editing. CoRR abs/2402.09394 (2024) - [i81]Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, Jan Batzner, Hassan Sajjad, Frank Rudzicz:
Immunization against harmful fine-tuning attacks. CoRR abs/2402.16382 (2024) - [i80]Rohan Deepak Ajwani, Zining Zhu, Jonathan Rose, Frank Rudzicz:
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation. CoRR abs/2404.05143 (2024) - [i79]Rohan Deepak Ajwani, Shashidhar Reddy Javaji, Frank Rudzicz, Zining Zhu:
LLM-Generated Black-box Explanations Can Be Adversarially Helpful. CoRR abs/2405.06800 (2024) - [i78]Raeid Saqur, Ken Kato, Nicholas Vinden, Frank Rudzicz:
NIFTY Financial News Headlines Dataset. CoRR abs/2405.09747 (2024) - [i77]Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz:
Representation noising effectively prevents harmful fine-tuning on LLMs. CoRR abs/2405.14577 (2024) - [i76]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification. CoRR abs/2405.19084 (2024) - [i75]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation. CoRR abs/2405.19093 (2024) - [i74]François Roewer-Després, Jinyue Feng, Zining Zhu, Frank Rudzicz:
ACCORD: Closing the Commonsense Measurability Gap. CoRR abs/2406.02804 (2024) - [i73]Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz:
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models. CoRR abs/2406.02969 (2024) - [i72]Pengshuo Qiu, Frank Rudzicz, Zining Zhu:
Scenarios and Approaches for Situated Natural Language Explanations. CoRR abs/2406.05035 (2024) - [i71]Xi Yu Huang, Krishnapriya Vishnubhotla, Frank Rudzicz:
The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories. CoRR abs/2406.16767 (2024) - [i70]Sri Harsha Dumpala, Katerina Dikaios, Abraham Nunes, Frank Rudzicz, Rudolf Uher, Sageev Oore:
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression. CoRR abs/2406.17229 (2024) - [i69]Huaizhi Ge, Frank Rudzicz, Zining Zhu:
What Do the Circuits Mean? A Knowledge Edit View. CoRR abs/2406.17241 (2024) - [i68]Huaizhi Ge, Frank Rudzicz, Zining Zhu:
How Well Can Knowledge Edit Methods Edit Perplexing Knowledge? CoRR abs/2406.17253 (2024) - [i67]Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad:
Defending against Reverse Preference Attacks is Difficult. CoRR abs/2409.12914 (2024) - 2023
- [c101]Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond:
Improving Automatic Quotation Attribution in Literary Novels. ACL (2) 2023: 737-746 - [c100]Behrad Taghibeyglou, Frank Rudzicz:
Who needs context? Classical techniques for Alzheimer's disease detection. ClinicalNLP@ACL 2023: 102-107 - [c99]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. ECAI 2023: 2543-2551 - [c98]Esmat Sahak, Zining Zhu, Frank Rudzicz:
A State-Vector Framework for Dataset Effects. EMNLP 2023: 15231-15245 - [i66]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, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi:
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. CoRR abs/2302.03222 (2023) - [i65]Shuja Khalid, Frank Rudzicz:
RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters. CoRR abs/2303.08695 (2023) - [i64]Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz:
MLHOps: Machine Learning for Healthcare Operations. CoRR abs/2305.02474 (2023) - [i63]Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond:
Improving Automatic Quotation Attribution in Literary Novels. CoRR abs/2307.03734 (2023) - [i62]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning. CoRR abs/2307.15411 (2023) - [i61]Shuja Khalid, Frank Rudzicz:
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks. CoRR abs/2308.13073 (2023) - [i60]Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin:
Situated Natural Language Explanations. CoRR abs/2308.14115 (2023) - [i59]Zining Zhu, Frank Rudzicz:
Measuring Information in Text Explanations. CoRR abs/2310.04557 (2023) - [i58]Esmat Sahak, Zining Zhu, Frank Rudzicz:
A State-Vector Framework for Dataset Effects. CoRR abs/2310.10955 (2023) - 2022
- [j34]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, Gregory D. Hager, Robert J. Hinchliffe, Alan Horgan, Pierre Jannin, Alexander Langerman, Kartik Logishetty, Amit Mahadik, Lena Maier-Hein, Esteban Martín Antona, Pietro Mascagni, Ryan K. Mathew, Beat P. Müller-Stich, Thomas Neumuth, Felix Nickel, Adrian Park, Gianluca Pellino, Frank Rudzicz, Sam Shah, Mark Slack, Myles J. Smith, Naeem Soomro, Stefanie Speidel, Danail Stoyanov, Henry S. Tilney, Martin Wagner, Ara Darzi, James Kinross, Sanjay Purkayastha:
A Delphi consensus statement for digital surgery. npj Digit. Medicine 5 (2022) - [c97]Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz:
Language Modelling via Learning to Rank. AAAI 2022: 10636-10644 - [c96]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling. ACL (1) 2022: 2941-2951 - [c95]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. ACL (Findings) 2022: 4132-4147 - [c94]Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu:
Neural reality of argument structure constructions. ACL (1) 2022: 7410-7423 - [c93]Ian Berlot-Attwell, Frank Rudzicz:
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric. ConvAI@ACL 2022: 166-183 - [c92]Hillary Ngai, Frank Rudzicz:
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation. BioNLP@ACL 2022: 337-344 - [c91]Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova:
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. W-NUT@COLING 2022: 24-37 - [c90]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
Predicting Fine-Tuning Performance with Probing. EMNLP 2022: 11534-11547 - [c89]Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi:
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. FAccT 2022: 1194-1206 - [c88]Jean-Christophe Gagnon-Audet, Soroosh Shahtalebi, Frank Rudzicz, Irina Rish:
A Remedy For Distributional Shifts Through Expected Domain Translation. ICASSP 2022: 4523-4527 - [c87]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
MeSHup: Corpus for Full Text Biomedical Document Indexing. LREC 2022: 5473-5483 - [c86]Yoon A. Park, Frank Rudzicz:
Detoxifying Language Models with a Toxic Corpus. LT-EDI 2022: 41-46 - [i57]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. CoRR abs/2201.11576 (2022) - [i56]Yuchen Li, Frank Rudzicz:
Improving greedy core-set configurations for active learning with uncertainty-scaled distances. CoRR abs/2202.04251 (2022) - [i55]Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu:
Neural reality of argument structure constructions. CoRR abs/2202.12246 (2022) - [i54]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. CoRR abs/2202.12801 (2022) - [i53]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling. CoRR abs/2203.06835 (2022) - [i52]Hillary Ngai, Frank Rudzicz:
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation. CoRR abs/2204.10178 (2022) - [i51]Xindi Wang, Robert E. Mercer, Frank Rudzicz:
MeSHup: A Corpus for Full Text Biomedical Document Indexing. CoRR abs/2204.13604 (2022) - [i50]Yoon A. Park, Frank Rudzicz:
Detoxifying Language Models with a Toxic Corpus. CoRR abs/2205.00320 (2022) - [i49]Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi:
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. CoRR abs/2205.03295 (2022) - [i48]Ian Berlot-Attwell, Frank Rudzicz:
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric. CoRR abs/2206.01823 (2022) - [i47]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization. CoRR abs/2208.12352 (2022) - [i46]Shuja Khalid, Frank Rudzicz:
wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data. CoRR abs/2209.10399 (2022) - [i45]Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova:
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. CoRR abs/2210.03303 (2022) - [i44]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
Predicting Fine-Tuning Performance with Probing. CoRR abs/2210.07352 (2022) - 2021
- [j33]Youness Aliyari Ghassabeh, Frank Rudzicz:
Modified Subspace Constrained Mean Shift Algorithm. J. Classif. 38(1): 27-43 (2021) - [c85]Krishnapriya Vishnubhotla, Graeme Hirst, Frank Rudzicz:
An Evaluation of Disentangled Representation Learning for Texts. ACL/IJCNLP (Findings) 2021: 1939-1951 - [c84]Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz:
How is BERT surprised? Layerwise detection of linguistic anomalies. ACL/IJCNLP (1) 2021: 4215-4228 - [c83]Bai Li, Frank Rudzicz:
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. CMLS 2021: 85-89 - [c82]Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. EMNLP (Findings) 2021: 1215-1228 - [c81]Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tina Sedaghat, Moshe Gabel, Frank Rudzicz, Eyal de Lara:
Coughwatch: Real-World Cough Detection using Smartwatches. ICASSP 2021: 8333-8337 - [c80]Haiqi Wei, Frank Rudzicz, David Fleet, Teodor P. Grantcharov, Babak Taati:
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss. MLHC 2021: 283-307 - [c79]Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno:
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. NeurIPS 2021: 6542-6554 - [i43]Demetres Kostas, Stephane Aroca-Ouellette, Frank Rudzicz:
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. CoRR abs/2101.12037 (2021) - [i42]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker attribution with voice profiles by graph-based semi-supervised learning. CoRR abs/2102.03634 (2021) - [i41]Elsa Riachi, Muhammad Mamdani, Michael Fralick, Frank Rudzicz:
Challenges for Reinforcement Learning in Healthcare. CoRR abs/2103.05612 (2021) - [i40]Ian Berlot-Attwell, Frank Rudzicz:
On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems. CoRR abs/2104.06335 (2021) - [i39]Bai Li, Frank Rudzicz:
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. CoRR abs/2104.07244 (2021) - [i38]Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz:
How is BERT surprised? Layerwise detection of linguistic anomalies. CoRR abs/2105.07452 (2021) - [i37]Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz:
What do writing features tell us about AI papers? CoRR abs/2107.06310 (2021) - [i36]Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. CoRR abs/2109.00608 (2021) - [i35]Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz:
Language Modelling via Learning to Rank. CoRR abs/2110.06961 (2021) - [i34]Zining Zhu, Aparna Balagopalan, Marzyeh Ghassemi, Frank Rudzicz:
Quantifying the Task-Specific Information in Text-Based Classifications. CoRR abs/2110.08931 (2021) - 2020
- [j32]Mohamed Abdalla, Moustafa Abdalla, Frank Rudzicz, Graeme Hirst:
Using word embeddings to improve the privacy of clinical notes. J. Am. Medical Informatics Assoc. 27(6): 901-907 (2020) - [j31]Chloé Pou-Prom, Stefania Raimondo, Frank Rudzicz:
A Conversational Robot for Older Adults with Alzheimer's Disease. ACM Trans. Hum. Robot Interact. 9(3): 21:1-21:25 (2020) - [c78]John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz:
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. ClinicalNLP@EMNLP 2020: 301-312 - [c77]Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. BlackboxNLP@EMNLP 2020: 16-32 - [c76]Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz:
Word class flexibility: A deep contextualized approach. EMNLP (1) 2020: 983-994 - [c75]Jinyue Feng, Chantal Shaib, Frank Rudzicz:
Explainable Clinical Decision Support from Text. EMNLP (1) 2020: 1478-1489 - [c74]Stephane Aroca-Ouellette, Frank Rudzicz:
On Losses for Modern Language Models. EMNLP (1) 2020: 4970-4981 - [c73]Zining Zhu, Frank Rudzicz:
An information theoretic view on selecting linguistic probes. EMNLP (1) 2020: 9251-9262 - [c72]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker Diarization with Session-Level Speaker Embedding Refinement Using Graph Neural Networks. ICASSP 2020: 7109-7113 - [c71]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning. INTERSPEECH 2020: 289-293 - [c70]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer's Disease Detection. INTERSPEECH 2020: 2167-2171 - [c69]Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux:
Identification of Primary and Collateral Tracks in Stuttered Speech. LREC 2020: 1681-1688 - [c68]Bai Li, Jing Yi Xie, Frank Rudzicz:
Representation Learning for Discovering Phonemic Tone Contours. SIGMORPHON 2020: 217-223 - [i33]Daniyal Liaqat, Robert Wu, Salaar Liaqat, Eyal de Lara, Andrea Gershon, Frank Rudzicz:
The Ground Truth Trade-Off in Wearable Sensing Studies. CoRR abs/2001.09738 (2020) - [i32]Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux:
Identification of primary and collateral tracks in stuttered speech. CoRR abs/2003.01018 (2020) - [i31]Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker diarization with session-level speaker embedding refinement using graph neural networks. CoRR abs/2005.11371 (2020) - [i30]Arnold Y. S. Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz:
Sequential Explanations with Mental Model-Based Policies. CoRR abs/2007.09028 (2020) - [i29]Frank Rudzicz, Raeid Saqur:
Ethics of Artificial Intelligence in Surgery. CoRR abs/2007.14302 (2020) - [i28]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection. CoRR abs/2008.01551 (2020) - [i27]Zining Zhu, Frank Rudzicz:
An information theoretic view on selecting linguistic probes. CoRR abs/2009.07364 (2020) - [i26]Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz:
Word class flexibility: A deep contextualized approach. CoRR abs/2009.09241 (2020) - [i25]Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. CoRR abs/2010.00153 (2020) - [i24]Stephane Aroca-Ouellette, Frank Rudzicz:
On Losses for Modern Language Models. CoRR abs/2010.01694 (2020) - [i23]Zining Zhu, Yang Xu, Frank Rudzicz:
Semantic coordinates analysis reveals language changes in the AI field. CoRR abs/2011.00543 (2020) - [i22]John Chen, Ian Berlot-Attwell, Safwan Hossain, Xindi Wang, Frank Rudzicz:
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. CoRR abs/2011.09625 (2020)
2010 – 2019
- 2019
- [j30]Daniyal Liaqat, Mohamed Abdalla, Pegah Abed-Esfahani, Moshe Gabel, Tatiana Son, Robert Wu, Andrea Gershon, Frank Rudzicz, Eyal de Lara:
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 56:1-56:22 (2019) - [j29]Faiza Khan Khattak, Serena Jeblee, Chloé Pou-Prom, Mohamed Abdalla, Christopher Meaney, Frank Rudzicz:
A survey of word embeddings for clinical text. J. Biomed. Informatics X 4: 100057 (2019) - [j28]Serena Jeblee, Mireille Gomes, Prabhat Jha, Frank Rudzicz, Graeme Hirst:
Automatically determining cause of death from verbal autopsy narratives. BMC Medical Informatics Decis. Mak. 19(1): 127:1-127:13 (2019) - [c67]Frank Rudzicz, P. Alison Paprica, Marta Janczarski:
Towards international standards for evaluating machine learning. SafeAI@AAAI 2019 - [c66]Serena Jeblee, Faiza Khan Khattak, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
Extracting relevant information from physician-patient dialogues for automated clinical note taking. LOUHI@EMNLP 2019: 65-74 - [c65]Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. W-NUT@EMNLP 2019: 431-443 - [c64]Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, Kamil Malikov:
Categorizing Emails Using Machine Learning with Textual Features. Canadian AI 2019: 3-15 - [c63]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based Deep Metric Learning for Speaker Recognition. ICASSP 2019: 3652-3656 - [c62]Faiza Khan Khattak, Serena Jeblee, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues. MedInfo 2019: 1512-1513 - [c61]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Detecting cognitive impairments by agreeing on interpretations of linguistic features. NAACL-HLT (1) 2019: 1431-1441 - [c60]Bai Li, Yi-Te Hsu, Frank Rudzicz:
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus. NAACL-HLT (1) 2019: 1991-1997 - [c59]Kathleen C. Fraser, Nicklas Linz, Bai Li, Kristina Lundholm Fors, Frank Rudzicz, Alexandra König, Jan Alexandersson, Philippe H. Robert, Dimitrios Kokkinakis:
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling. NAACL-HLT (1) 2019: 3659-3670 - [c58]Akshay Budhkar, Frank Rudzicz:
Augmenting word2vec with latent Dirichlet allocation within a clinical application. NAACL-HLT (1) 2019: 4095-4099 - [c57]Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz:
Generative Adversarial Networks for Text Using Word2vec Intermediaries. RepL4NLP@ACL 2019: 15-26 - [c56]Kathleen C. Fraser, Frauke Zeller, David Harris Smith, Saif M. Mohammad, Frank Rudzicz:
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction. WASSA@NAACL-HLT 2019: 62-71 - [e5]Marie-Jean Meurs, Frank Rudzicz:
Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28-31, 2019, Proceedings. Lecture Notes in Computer Science 11489, Springer 2019, ISBN 978-3-030-18304-2 [contents] - [e4]Heidi Christensen, Kristy Hollingshead, Emily Prud'hommeaux, Frank Rudzicz, Keith Vertanen:
Proceedings of the Eighth Workshop on Speech and Language Processing for Assistive Technologies, SLPAT@NAACL-HLT 2019, Minneapolis, MN, USA, June 7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-08-6 [contents] - [i21]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based deep metric learning for speaker recognition. CoRR abs/1902.02375 (2019) - [i20]Bai Li, Yi-Te Hsu, Frank Rudzicz:
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus. CoRR abs/1903.00933 (2019) - [i19]Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz:
Generative Adversarial Networks for text using word2vec intermediaries. CoRR abs/1904.02293 (2019) - [i18]Yuchen Li, Frank Rudzicz, Jekaterina Novikova:
Variations on the Chebyshev-Lagrange Activation Function. CoRR abs/1906.10064 (2019) - [i17]Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. CoRR abs/1910.00065 (2019) - [i16]Bai Li, Jing Yi Xie, Frank Rudzicz:
Representation Learning for Discovering Phonemic Tone Contours. CoRR abs/1910.08987 (2019) - 2018
- [j27]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, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech: An open-source software for Parkinson's speech analysis. Digit. Signal Process. 77: 207-221 (2018) - [j26]Youness Aliyari Ghassabeh, Frank Rudzicz:
Modified mean shift algorithm. IET Image Process. 12(12): 2172-2177 (2018) - [j25]Mehrnaz Shokrollahi, Frank Rudzicz, Daniel Vena, T. Douglas Bradley, Azadeh Yadollahi:
A novel approach for acoustic estimation of neck fluid volume between men and women. Medical Biol. Eng. Comput. 56(1): 113-123 (2018) - [j24]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, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech. SoftwareX 8: 69-70 (2018) - [c55]Serena Jeblee, Akshay Budhkar, Sasa Milic, Jeff Pinto, Chloé Pou-Prom, Krishnapriya Vishnubhotla, Graeme Hirst, Frank Rudzicz:
Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks. CLEF (Working Notes) 2018 - [c54]Chloé Pou-Prom, Frank Rudzicz:
Learning multiview embeddings for assessing dementia. EMNLP 2018: 2812-2817 - [c53]Benett Axtell, Cosmin Munteanu, Carrie Demmans Epp, Yomna Aly, Frank Rudzicz:
Touch-Supported Voice Recording to Facilitate Forced Alignment of Text and Speech in an E-Reading Interface. IUI 2018: 129-140 - [c52]Daniyal Liaqat, Robert Wu, Andrea Gershon, Hisham Alshaer, Frank Rudzicz, Eyal de Lara:
Challenges with real-world smartwatch based audio monitoring. WearSys@MobiSys 2018: 54-59 - [c51]Daniyal Liaqat, Robert Wu, Andrea Gershon, Hisham Alshaer, Frank Rudzicz, Eyal de Lara:
Speech in Smartwatch based Audio. MobiSys 2018: 523 - [i15]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Semi-supervised classification by reaching consensus among modalities. CoRR abs/1805.09366 (2018) - [i14]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Isolating effects of age with fair representation learning when assessing dementia. CoRR abs/1807.07217 (2018) - [i13]Bai Li, Ran Zhang, Frank Rudzicz:
Dropout during inference as a model for neurological degeneration in an image captioning network. CoRR abs/1808.03747 (2018) - [i12]Akshay Budhkar, Frank Rudzicz:
Augmenting word2vec with latent Dirichlet allocation within a clinical application. CoRR abs/1808.03967 (2018) - [i11]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Detecting cognitive impairments by agreeing on interpretations of linguistic features. CoRR abs/1808.06570 (2018) - [i10]Yuchen Li, Safwan Hossain, Kiarash Jamali, Frank Rudzicz:
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification. CoRR abs/1811.07266 (2018) - [i9]Safwan Hossain, Kiarash Jamali, Yuchen Li, Frank Rudzicz:
ChainGAN: A sequential approach to GANs. CoRR abs/1811.08081 (2018) - [i8]Yi-Te Hsu, Zining Zhu, Chi-Te Wang, Shih-Hau Fang, Frank Rudzicz, Yu Tsao:
Robustness against the channel effect in pathological voice detection. CoRR abs/1811.10376 (2018) - [i7]Aparna Balagopalan, Jekaterina Novikova, Frank Rudzicz, Marzyeh Ghassemi:
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech. CoRR abs/1811.12254 (2018) - 2017
- [j23]Kawin Ethayarajh, Frank Rudzicz:
The Effect of Photoperiod on the Mood of Reddit Users. Cyberpsychology Behav. Soc. Netw. 20(4): 238-245 (2017) - [j22]Hamidreza Chinaei, Leila Chan Currie, Andrew Danks, Hubert Lin, Tejas Mehta, Frank Rudzicz:
Identifying and Avoiding Confusion in Dialogue with People with Alzheimer's Disease. Comput. Linguistics 43(2): 377-406 (2017) - [j21]Milos Cernak, Juan Rafael Orozco-Arroyave, Frank Rudzicz, Heidi Christensen, Juan Camilo Vásquez-Correa, Elmar Nöth:
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. Comput. Speech Lang. 46: 196-208 (2017) - [c50]Stuart P. Cunningham, Phil D. Green, Heidi Christensen, José Joaquín Atria, André Coy, Massimiliano Malavasi, Lorenzo Desideri, Frank Rudzicz:
Cloud-Based Speech Technology for Assistive Technology Applications (CloudCAST). AAATE Conf. 2017: 322-329 - [c49]Judy Hanwen Shen, Frank Rudzicz:
Detecting Anxiety through Reddit. CLPsych@ACL 2017: 58-65 - [c48]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:
Designing Speech, Acoustic and Multimodal Interactions. CHI Extended Abstracts 2017: 601-608 - [c47]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, Maria Yancheva, Alyssa Vann, Nikolai Vogler:
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. ICASSP 2017: 2966-2970 - [c46]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, Alyssa Vann, Nikolai Vogler:
On the impact of non-modal phonation on phonological features. ICASSP 2017: 5090-5094 - [c45]Martha J. Ladly, Thoreau Bakker, Kartikay Chadha, Glen Farrelly, Katie Micak, Gerald Penn, Frank Rudzicz:
Reality recalled: Elders, memory and VR. VSMM 2017: 1-9 - [i6]Zeinab Noorian, Chloé Pou-Prom, Frank Rudzicz:
On the importance of normative data in speech-based assessment. CoRR abs/1712.00069 (2017) - 2016
- [b2]Frank Rudzicz:
Clear Speech: Technologies that Enable the Expression and Reception of Language. Synthesis Lectures on Assistive, Rehabilitative, and Health-Preserving Technologies, Morgan & Claypool Publishers 2016, ISBN 978-3-031-00471-1 - [j20]Farook Sattar, Frank Rudzicz, Moe Pwint:
An evolutionary approach for segmentation of noisy speech signals for efficient voice activity detection. Artif. Intell. Res. 5(1): 56-66 (2016) - [j19]Karen Livescu, Frank Rudzicz, Eric Fosler-Lussier, Mark Hasegawa-Johnson, Jeff A. Bilmes:
Speech Production in Speech Technologies: Introduction to the CSL Special Issue. Comput. Speech Lang. 36: 165-172 (2016) - [j18]Farook Sattar, Frank Rudzicz:
Principal differential analysis for detection of bilabial closure gestures from articulatory data. Comput. Speech Lang. 36: 294-306 (2016) - [j17]Youness Aliyari Ghassabeh, Frank Rudzicz:
The mean shift algorithm and its relation to kernel regression. Inf. Sci. 348: 198-208 (2016) - [j16]Youness Aliyari Ghassabeh, Frank Rudzicz, Hamid Abrishami Moghaddam:
Fast adaptive algorithms for optimal feature extraction from Gaussian data. Pattern Recognit. Lett. 70: 73-79 (2016) - [j15]Frank Rudzicz, Arvid Frydenlund, Sean Robertson, Patricia Thaine:
Acoustic-articulatory relationships and inversion in sum-product and deep-belief networks. Speech Commun. 79: 61-73 (2016) - [j14]Shen-Shyang Ho, Peng Dai, Frank Rudzicz:
Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1333-1344 (2016) - [c44]Maria Yancheva, Frank Rudzicz:
Vector-space topic models for detecting Alzheimer's disease. ACL (1) 2016 - [c43]Cosmin Munteanu, Pourang Irani, Sharon L. Oviatt, Matthew P. Aylett, Gerald Penn, Shimei Pan, Nikhil Sharma, Frank Rudzicz, Randy Gomez, Keisuke Nakamura, Kazuhiro Nakadai:
Designing Speech and Multimodal Interactions for Mobile, Wearable, and Pervasive Applications. CHI Extended Abstracts 2016: 3612-3619 - [c42]Mehrnaz Shokrollahi, Shumit Saha, Peyman Hadi, Frank Rudzicz, Azadeh Yadollahi:
Snoring sound classification from respiratory signal. EMBC 2016: 3215-3218 - [c41]Phil D. Green, Ricard Marxer, Stuart P. Cunningham, Heidi Christensen, Frank Rudzicz, Maria Yancheva, André Coy, Massimiliano Malavasi, Lorenzo Desideri, Fabio Tamburini:
CloudCAST - Remote Speech Technology for Speech Professionals. INTERSPEECH 2016: 1608-1612 - [c40]Luke Zhou, Kathleen C. Fraser, Frank Rudzicz:
Speech Recognition in Alzheimer's Disease and in its Assessment. INTERSPEECH 2016: 1948-1952 - [c39]Daniyal Liaqat, Ishan Thukral, Parco Sin, Hisham Alshaer, Frank Rudzicz, Eyal de Lara, Robert Wu, Andrea Gershon:
Poster: WearCOPD - Monitoring COPD Patients Remotely using Smartwatches. MobiSys (Companion Volume) 2016: 139 - [c38]Kathleen C. Fraser, Frank Rudzicz, Graeme Hirst:
Detecting late-life depression in Alzheimer's disease through analysis of speech and language. CLPsych@HLT-NAACL 2016: 1-11 - [i5]Samantha Wong, Hamidreza Chinaei, Frank Rudzicz:
Predicting health inspection results from online restaurant reviews. CoRR abs/1603.05673 (2016) - [i4]Stefania Raimondo, Frank Rudzicz:
Sex, drugs, and violence. CoRR abs/1608.03448 (2016) - [i3]Peng Dai, Xue Teng, Frank Rudzicz, Ing Yann Soon:
An Adaptive Psychoacoustic Model for Automatic Speech Recognition. CoRR abs/1609.04417 (2016) - 2015
- [j13]Youness Aliyari Ghassabeh, Frank Rudzicz:
Incremental algorithm for finding principal curves. IET Signal Process. 9(7): 521-528 (2015) - [j12]Peng Dai, Shen-Shyang Ho, Frank Rudzicz:
Sequential behavior prediction based on hybrid similarity and cross-user activity transfer. Knowl. Based Syst. 77: 29-39 (2015) - [j11]Youness Aliyari Ghassabeh, Frank Rudzicz, Hamid Abrishami Moghaddam:
Fast incremental LDA feature extraction. Pattern Recognit. 48(6): 1999-2012 (2015) - [j10]Peng Dai, Frank Rudzicz, Ing Yann Soon, Alex Mihailidis, Huijun Ding:
2D Psychoacoustic modeling of equivalent masking for automatic speech recognition. Signal Process. 115: 9-19 (2015) - [j9]Heidi Christensen, Frank Rudzicz, François Portet, Jan Alexandersson:
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue. ACM Trans. Access. Comput. 6(3): 7:1-7:3 (2015) - [j8]Frank Rudzicz, Heidi Christensen, François Portet, Jan Alexandersson:
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 2 - Speaking and Reading Aids. ACM Trans. Access. Comput. 6(4): 11:1-11:2 (2015) - [j7]François Portet, Heidi Christensen, Frank Rudzicz, Jan Alexandersson:
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Overall Introduction to the Special Issue Part 3. ACM Trans. Access. Comput. 7(2): 4:1-4:8 (2015) - [j6]Frank Rudzicz, Rosalie Wang, Momotaz Begum, Alex Mihailidis:
Speech Interaction with Personal Assistive Robots Supporting Aging at Home for Individuals with Alzheimer's Disease. ACM Trans. Access. Comput. 7(2): 6:1-6:22 (2015) - [c37]Arvid Frydenlund, Frank Rudzicz:
Emotional Affect Estimation Using Video and EEG Data in Deep Neural Networks. Canadian AI 2015: 273-280 - [c36]Emilio Parisotto, Youness Aliyari Ghassabeh, Siamak Freydoonnejad, Frank Rudzicz:
EEG dimensionality reduction in automatic identification of synonymy. ICASSP 2015: 847-851 - [c35]Shunan Zhao, Frank Rudzicz:
Classifying phonological categories in imagined and articulated speech. ICASSP 2015: 992-996 - [c34]Emilio Parisotto, Youness Aliyari Ghassabeh, Matt J. MacDonald, Adelina Cozma, Elizabeth W. Pang, Frank Rudzicz:
Automatic identification of received language in MEG. INTERSPEECH 2015: 1106-1110 - [c33]Alex Francois-Nienaber, Jed A. Meltzer, Frank Rudzicz:
Lateralization in emotional speech perception following transcranial direct current stimulation. INTERSPEECH 2015: 1116-1120 - [c32]Stacey Oue, Ricard Marxer, Frank Rudzicz:
Automatic dysfluency detection in dysarthric speech using deep belief networks. SLPAT@Interspeech 2015: 60-64 - [c31]Phil D. Green, Ricard Marxer, Stuart P. Cunningham, Heidi Christensen, Frank Rudzicz, Maria Yancheva, André Coy, Massimiliano Malavasi, Lorenzo Desideri:
Remote Speech Technology for Speech Professionals - the CloudCAST initiative. SLPAT@Interspeech 2015: 97-102 - [c30]Maria Yancheva, Kathleen C. Fraser, Frank Rudzicz:
Using linguistic features longitudinally to predict clinical scores for Alzheimer's disease and related dementias. SLPAT@Interspeech 2015: 134-139 - [e3]Jan Alexandersson, M. Ercan Altinsoy, Heidi Christensen, Peter Ljunglöf, François Portet, Frank Rudzicz:
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT@Interspeech 2015, Dresden, Germany, September 11, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-79-2 [contents] - [i2]Hamidreza Chinaei, Mohsen Rais-Ghasem, Frank Rudzicz:
Learning measures of semi-additive behaviour. CoRR abs/1512.03020 (2015) - 2014
- [j5]Youness Aliyari Ghassabeh, Frank Rudzicz:
Noisy Source Vector Quantization Using Kernel Regression. IEEE Trans. Commun. 62(11): 3825-3834 (2014) - [c29]Frank Rudzicz, Leila Chan Currie, Andrew Danks, Tejas Mehta, Shunan Zhao:
Automatically identifying trouble-indicating speech behaviors in alzheimer's disease. ASSETS 2014: 241-242 - [c28]Hisham Alshaer, Aditya Pandya, T. Douglas Bradley, Frank Rudzicz:
Subject independent identification of breath sounds components using multiple classifiers. ICASSP 2014: 3577-3581 - [c27]Shunan Zhao, Frank Rudzicz, Leonardo G. Carvalho, Cesar Marquez-Chin, Steven R. Livingstone:
Automatic detection of expressed emotion in Parkinson's Disease. ICASSP 2014: 4813-4817 - [c26]Shunan Zhao, Frank Rudzicz:
Combining Different Modalities in Classifying Phonological Categories. MLINI@NIPS 2014: 40-48 - [c25]Frank Rudzicz, Rosalie Wang, Momotaz Begum, Alex Mihailidis:
Speech recognition in Alzheimer's disease with personal assistive robots. SLPAT@ACL 2014: 20-28 - [e2]Jan Alexandersson, Dimitra Anastasiou, Cui Jian, Ani Nenkova, Rupal Patel, Frank Rudzicz, Annalu Waller, Desislava Zhekova:
Proceedings of the 5th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT@ACL 2014, Baltimore, Maryland, USA, June 26, 2014. Association for Computational Linguistics 2014, ISBN 978-1-941643-04-4 [contents] - 2013
- [j4]Frank Rudzicz:
Adjusting dysarthric speech signals to be more intelligible. Comput. Speech Lang. 27(6): 1163-1177 (2013) - [c24]Maria Yancheva, Frank Rudzicz:
Automatic detection of deception in child-produced speech using syntactic complexity features. ACL (1) 2013: 944-953 - [c23]Hisham Alshaer, Frank Rudzicz, Tiago H. Falk, Wen-Hou Tseng, T. Douglas Bradley:
Classification of vibratory patterns of the upper airway during sleep. EMBC 2013: 2080-2083 - [c22]Azadeh Yadollahi, Frank Rudzicz, Aman Montazeri, T. Douglas Bradley:
Variations in respiratory sounds in relation to fluid accumulation in the upper airways. EMBC 2013: 2924-2927 - [c21]Kathleen C. Fraser, Frank Rudzicz, Elizabeth Rochon:
Using text and acoustic features to diagnose progressive aphasia and its subtypes. INTERSPEECH 2013: 2177-2181 - [c20]Kathleen C. Fraser, Frank Rudzicz, Naida L. Graham, Elizabeth Rochon:
Automatic speech recognition in the diagnosis of primary progressive aphasia. SLPAT 2013: 47-54 - [e1]Jan Alexandersson, Peter Ljunglöf, Kathleen F. McCoy, François Portet, Brian Roark, Frank Rudzicz, Michel Vacher:
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2013, Grenoble, France, August 21-22, 2013. Association for Computational Linguistics 2013, ISBN 978-1-937284-93-0 [contents] - 2012
- [j3]Frank Rudzicz, Aravind Kumar Namasivayam, Talya Wolff:
The TORGO database of acoustic and articulatory speech from speakers with dysarthria. Lang. Resour. Evaluation 46(4): 523-541 (2012) - [j2]Frank Rudzicz:
Using articulatory likelihoods in the recognition of dysarthric speech. Speech Commun. 54(3): 430-444 (2012) - [c19]Jun Wang, Ashok Samal, Jordan R. Green, Frank Rudzicz:
Sentence recognition from articulatory movements for silent speech interfaces. ICASSP 2012: 4985-4988 - [c18]Jun Wang, Ashok Samal, Jordan R. Green, Frank Rudzicz:
Whole-Word Recognition from Articulatory Movements for Silent Speech Interfaces. INTERSPEECH 2012: 1327-1330 - [c17]Frank Rudzicz, Rozanne Wilson, Alex Mihailidis, Elizabeth Rochon, Carol Leonard:
Communication strategies for a computerized caregiver for individuals with Alzheimer's disease. SLPAT@HLT-NAACL 2012: 47-55 - 2011
- [b1]Frank Rudzicz:
Production Knowledge in the Recognition of Dysarthric Speech. University of Toronto, Canada, 2011 - [j1]Frank Rudzicz:
Articulatory Knowledge in the Recognition of Dysarthric Speech. IEEE ACM Trans. Audio Speech Lang. Process. 19(4): 947-960 (2011) - [c16]Kinfe Tadesse Mengistu, Frank Rudzicz:
Comparing Humans and Automatic Speech Recognition Systems in Recognizing Dysarthric Speech. Canadian AI 2011: 291-300 - [c15]Kinfe Tadesse Mengistu, Frank Rudzicz:
Adapting acoustic and lexical models to dysarthric speech. ICASSP 2011: 4924-4927 - [c14]Kinfe Tadesse Mengistu, Frank Rudzicz, Tiago H. Falk:
Using acoustic measures to predict automatic speech recognition performance for dysarthric speakers. MAVEBA 2011: 75-78 - [c13]Frank Rudzicz:
Acoustic transformations to improve the intelligibility of dysarthric speech. SLPAT 2011: 11-21 - 2010
- [c12]Frank Rudzicz:
Correcting Errors in Speech Recognition with Articulatory Dynamics. ACL 2010: 60-68 - [c11]Frank Rudzicz:
Adaptive Kernel Canonical Correlation Analysis for Estimation of Task Dynamics from Acoustics. ICASSP 2010: 4198-4201 - [c10]Michael Reimer, Frank Rudzicz:
Identifying articulatory goals from kinematic data using principal differential analysis. INTERSPEECH 2010: 1608-1611 - [c9]Frank Rudzicz:
Towards a noisy-channel model of dysarthria in speech recognition. SLPAT@NAACL 2010: 80-88 - [i1]Frank Rudzicz, Serguei A. Mokhov:
Towards a Heuristic Categorization of Prepositional Phrases in English with WordNet. CoRR abs/1002.1095 (2010)
2000 – 2009
- 2009
- [c8]Xiaodan Zhu, Gerald Penn, Frank Rudzicz:
Summarizing multiple spoken documents: finding evidence from untranscribed audio. ACL/IJCNLP 2009: 549-557 - [c7]Frank Rudzicz:
Applying discretized articulatory knowledge to dysarthric speech. ICASSP 2009: 4501-4504 - [c6]Frank Rudzicz:
Phonological features in discriminative classification of dysarthric speech. ICASSP 2009: 4605-4608 - 2008
- [c5]Siavash Kazemian, Frank Rudzicz, Gerald Penn, Cosmin Munteanu:
A critical assessment of spoken utterance retrieval through approximate lattice representations. Multimedia Information Retrieval 2008: 83-88 - 2007
- [c4]Frank Rudzicz:
Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech. ASSETS 2007: 255-256 - 2006
- [c3]Frank Rudzicz:
Clavius: Bi-Directional Parsing for Generic Multimodal Interaction. ACL 2006 - [c2]Frank Rudzicz:
Put a grammar here: bi-directional parsing in multimodal interaction. CHI Extended Abstracts 2006: 1277-1282 - 2004
- [c1]Yves Boussemart, François Rioux, Frank Rudzicz, Michael Wozniewski, Jeremy R. Cooperstock:
A framework for 3D visualisation and manipulation in an immersive space using an untethered bimanual gestural interface. VRST 2004: 162-165
Coauthor Index
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