Frank Rudzicz

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 166

Top Venues

Publications

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 (2024)
Zining Zhu, Frank Rudzicz
Measuring Information in Text Explanations. CoRR (2023)
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 (2023)
Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz
MLHOps: Machine Learning for Healthcare Operations. CoRR (2023)
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)
Behrad Taghibeyglou, Frank Rudzicz
Who needs context? Classical techniques for Alzheimer's disease detection. ClinicalNLP@ACL (2023)
Shuja Khalid, Frank Rudzicz
RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters. CoRR (2023)
Shuja Khalid, Frank Rudzicz
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks. CoRR (2023)
Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond
Improving Automatic Quotation Attribution in Literary Novels. CoRR (2023)
Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
Situated Natural Language Explanations. CoRR (2023)
Esmat Sahak, Zining Zhu, Frank Rudzicz
A State-Vector Framework for Dataset Effects. CoRR (2023)
Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond
Improving Automatic Quotation Attribution in Literary Novels. ACL (2) (2023)
Esmat Sahak, Zining Zhu, Frank Rudzicz
A State-Vector Framework for Dataset Effects. EMNLP (2023)
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 (2023)
Xindi Wang, Robert E. Mercer, Frank Rudzicz
MeSHup: A Corpus for Full Text Biomedical Document Indexing. CoRR (2022)
Yuchen Li, Frank Rudzicz
Improving greedy core-set configurations for active learning with uncertainty-scaled distances. CoRR (2022)
Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz
Predicting Fine-Tuning Performance with Probing. CoRR (2022)
Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu
Neural reality of argument structure constructions. CoRR (2022)
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)
Xindi Wang, Robert E. Mercer, Frank Rudzicz
MeSHup: Corpus for Full Text Biomedical Document Indexing. LREC (2022)
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 (2022)
Shuja Khalid, Frank Rudzicz
wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data. CoRR (2022)
Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. CoRR (2022)
Hillary Ngai, Frank Rudzicz
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation. CoRR (2022)
Xindi Wang, Robert E. Mercer, Frank Rudzicz
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling. ACL (1) (2022)
Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz
Language Modelling via Learning to Rank. AAAI (2022)
Yoon A. Park, Frank Rudzicz
Detoxifying Language Models with a Toxic Corpus. CoRR (2022)
Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz
On the data requirements of probing. CoRR (2022)
Ian Berlot-Attwell, Frank Rudzicz
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric. CoRR (2022)
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)
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)
Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu
Neural reality of argument structure constructions. ACL (1) (2022)
Hillary Ngai, Frank Rudzicz
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation. BioNLP@ACL (2022)
Jean-Christophe Gagnon-Audet, Soroosh Shahtalebi, Frank Rudzicz, Irina Rish
A Remedy For Distributional Shifts Through Expected Domain Translation. ICASSP (2022)
Yoon A. Park, Frank Rudzicz
Detoxifying Language Models with a Toxic Corpus. LT-EDI (2022)
Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization. CoRR (2022)
Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz
On the data requirements of probing. ACL (Findings) (2022)
Xindi Wang, Robert E. Mercer, Frank Rudzicz
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling. CoRR (2022)
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)
Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. CoRR (2022)
Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz
Predicting Fine-Tuning Performance with Probing. EMNLP (2022)
Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz
How is BERT surprised? Layerwise detection of linguistic anomalies. ACL/IJCNLP (1) (2021)
Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu
An unsupervised framework for tracing textual sources of moral change. CoRR (2021)
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)
Youness Aliyari Ghassabeh, Frank Rudzicz
Modified Subspace Constrained Mean Shift Algorithm. J. Classif. 38 (1) (2021)
Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. NeurIPS (2021)
Bai Li, Frank Rudzicz
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. CMLS (2021)
Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz
How is BERT surprised? Layerwise detection of linguistic anomalies. CoRR (2021)
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)
Krishnapriya Vishnubhotla, Graeme Hirst, Frank Rudzicz
An Evaluation of Disentangled Representation Learning for Texts. ACL/IJCNLP (Findings) (2021)
Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz
What do writing features tell us about AI papers? CoRR (2021)
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 (2021)
Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu
An unsupervised framework for tracing textual sources of moral change. EMNLP (Findings) (2021)
Elsa Riachi, Muhammad Mamdani, Michael Fralick, Frank Rudzicz
Challenges for Reinforcement Learning in Healthcare. CoRR (2021)
Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz
Language Modelling via Learning to Rank. CoRR (2021)
Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno
Speaker attribution with voice profiles by graph-based semi-supervised learning. CoRR (2021)
Bai Li, Frank Rudzicz
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction. CoRR (2021)
Ian Berlot-Attwell, Frank Rudzicz
On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems. CoRR (2021)
Zining Zhu, Aparna Balagopalan, Marzyeh Ghassemi, Frank Rudzicz
Quantifying the Task-Specific Information in Text-Based Classifications. CoRR (2021)
Bai Li, Jing Yi Xie, Frank Rudzicz
Representation Learning for Discovering Phonemic Tone Contours. SIGMORPHON (2020)
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)
John Chen, Ian Berlot-Attwell, Safwan Hossain, Xindi Wang, Frank Rudzicz
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. CoRR (2020)
Zining Zhu, Frank Rudzicz
An information theoretic view on selecting linguistic probes. EMNLP (1) (2020)
Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux
Identification of primary and collateral tracks in stuttered speech. CoRR (2020)
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)
Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz
Word class flexibility: A deep contextualized approach. CoRR (2020)
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 (2020)
Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz
Examining the rhetorical capacities of neural language models. BlackboxNLP@EMNLP (2020)
Zining Zhu, Yang Xu, Frank Rudzicz
Semantic coordinates analysis reveals language changes in the AI field. CoRR (2020)
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)
Daniyal Liaqat, Robert Wu, Salaar Liaqat, Eyal de Lara, Andrea Gershon, Frank Rudzicz
The Ground Truth Trade-Off in Wearable Sensing Studies. CoRR (2020)
Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux
Identification of Primary and Collateral Tracks in Stuttered Speech. LREC (2020)
Arnold Y. S. Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz
Sequential Explanations with Mental Model-Based Policies. CoRR (2020)
Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz
Examining the rhetorical capacities of neural language models. CoRR (2020)
Stephane Aroca-Ouellette, Frank Rudzicz
On Losses for Modern Language Models. CoRR (2020)
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 (2020)
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)
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) (2020)
Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz
Word class flexibility: A deep contextualized approach. EMNLP (1) (2020)
Stephane Aroca-Ouellette, Frank Rudzicz
On Losses for Modern Language Models. EMNLP (1) (2020)
Frank Rudzicz, Raeid Saqur
Ethics of Artificial Intelligence in Surgery. CoRR (2020)
Jinyue Feng, Chantal Shaib, Frank Rudzicz
Explainable Clinical Decision Support from Text. EMNLP (1) (2020)
Zining Zhu, Frank Rudzicz
An information theoretic view on selecting linguistic probes. CoRR (2020)
Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz
Generative Adversarial Networks for Text Using Word2vec Intermediaries. RepL4NLP@ACL (2019)
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 (2019)
Bai Li, Jing Yi Xie, Frank Rudzicz
Representation Learning for Discovering Phonemic Tone Contours. CoRR (2019)
Yuchen Li, Frank Rudzicz, Jekaterina Novikova
Variations on the Chebyshev-Lagrange Activation Function. CoRR (2019)
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) (2019)
Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno
Centroid-based Deep Metric Learning for Speaker Recognition. ICASSP (2019)
Faiza Khan Khattak, Serena Jeblee, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz
AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues. MedInfo (2019)
Bai Li, Yi-Te Hsu, Frank Rudzicz
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus. CoRR (2019)
Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz
Generative Adversarial Networks for text using word2vec intermediaries. CoRR (2019)
Zining Zhu, Jekaterina Novikova, Frank Rudzicz
Detecting cognitive impairments by agreeing on interpretations of linguistic features. NAACL-HLT (1) (2019)
Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, Kamil Malikov
Categorizing Emails Using Machine Learning with Textual Features. Canadian Conference on AI (2019)
Frank Rudzicz, P. Alison Paprica, Marta Janczarski
Towards international standards for evaluating machine learning. SafeAI@AAAI (2019)
Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. W-NUT@EMNLP (2019)
Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno
Centroid-based deep metric learning for speaker recognition. CoRR (2019)
Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. CoRR (2019)
Bai Li, Yi-Te Hsu, Frank Rudzicz
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus. NAACL-HLT (1) (2019)
Akshay Budhkar, Frank Rudzicz
Augmenting word2vec with latent Dirichlet allocation within a clinical application. NAACL-HLT (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frank Rudzicz