Nonlinear normalization of input patterns to speaker variability in speech recognition neural networks. - Isar Nejadgholi; Seyyed Ali Seyyedsalehi (Neural Comput. Appl., 2009)

Chaotic control of deterministic variability in a BAM-inspired model of memory. - Isar Nejadgholi; Seyyed Ali Seyyedsalehi (ISDA, 2010)

Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods. - Isar Nejadgholi; Mohammad Hassan Moradi 001; Fatemeh Abdolali (Comput. Biol. Medicine, 2011)

Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks. - Louiza Dehyadegary; Seyyed Ali Seyyedsalehi; Isar Nejadgholi (Neurocomputing, 2011)

A Chaotic Feature Extracting BAM and Its Application in Implementing Memory Search. - Isar Nejadgholi; Seyyed Ali Seyyedsalehi; Sylvain Chartier (Neural Process. Lett., 2012)

Controlling deterministic output variability in a feature extracting chaotic BAM. - Isar Nejadgholi; Sylvain Chartier; Seyyed Ali Seyyedsalehi (Neurocomputing, 2013)

Bioimpedance spectroscopy method for investigating changes to intracranial dose during transcranial direct current stimulation. - Herschel B. Caytak; Isar Nejadgholi; Izmail Batkin; Miodrag Bolic (EMBC, 2015)

A comparative study of PCA, SIMCA and Cole model for classification of bioimpedance spectroscopy measurements. - Isar Nejadgholi; Miodrag Bolic (Comput. Biol. Medicine, 2015)

Using bioimpedance spectroscopy parameters as real-time feedback during tDCS. - Isar Nejadgholi; Herschel B. Caytak; Miodrag Bolic (EMBC, 2016)

Time-frequency based contactless estimation of vital signs of human while walking using PMCW radar. - Isar Nejadgholi; Sreeraman Rajan; Miodrag Bolic (HealthCom, 2016)

A Semi-Supervised Training Method for Semantic Search of Legal Facts in Canadian Immigration Cases. - Isar Nejadgholi; Renaud Bougueng; Samuel Witherspoon (JURIX, 2017)

A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory. - Isar Nejadgholi; Seyyed Ali Seyyedsalehi; Sylvain Chartier (Neural Process. Lett., 2017)

A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content. - Isuru Gunasekara; Isar Nejadgholi (ALW, 2018)

Recognizing UMLS Semantic Types with Deep Learning. - Isar Nejadgholi; Kathleen C. Fraser; Berry de Bruijn; Muqun Li; Astha LaPlante; Khaldoun Zine El Abidine (LOUHI@EMNLP, 2019)

Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models. - Kathleen C. Fraser; Isar Nejadgholi; Berry de Bruijn; Muqun Li; Astha LaPlante; Khaldoun Zine El Abidine (CoRR, 2019)

Classification of Doppler radar reflections as preprocessing for breathing rate monitoring. - Isar Nejadgholi; Hamidreza Sadreazami; Sreeraman Rajan; Miodrag Bolic (IET Signal Process., 2019)

On Cross-Dataset Generalization in Automatic Detection of Online Abuse. - Isar Nejadgholi; Svetlana Kiritchenko (WOAH, 2020)

Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. - Isar Nejadgholi; Kathleen C. Fraser; Berry de Bruijn (BioNLP, 2020)

Towards Ethics by Design in Online Abusive Content Detection. - Svetlana Kiritchenko; Isar Nejadgholi (CoRR, 2020)

Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. - Kathleen C. Fraser; Isar Nejadgholi; Svetlana Kiritchenko (ACL/IJCNLP (1), 2021)

A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning. - Rajitha Hathurusinghe; Isar Nejadgholi; Miodrag Bolic (CoRR, 2021)

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. - Svetlana Kiritchenko; Isar Nejadgholi; Kathleen C. Fraser (J. Artif. Intell. Res., 2021)

Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification. - Hillary Dawkins; Isar Nejadgholi (ACL (2), 2022)

Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. - Isar Nejadgholi; Kathleen C. Fraser; Svetlana Kiritchenko (ACL (1), 2022)

Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. - Isar Nejadgholi; Esma Balkir; Kathleen C. Fraser; Svetlana Kiritchenko (BlackboxNLP@EMNLP, 2022)

Extracting Age-Related Stereotypes from Social Media Texts. - Kathleen C. Fraser; Svetlana Kiritchenko; Isar Nejadgholi (LREC, 2022)

Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. - Esma Balkir; Isar Nejadgholi; Kathleen C. Fraser; Svetlana Kiritchenko (NAACL-HLT, 2022)

Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models. - Esma Balkir; Svetlana Kiritchenko; Isar Nejadgholi; Kathleen C. Fraser (CoRR, 2022)

Computational Modeling of Stereotype Content in Text. - Kathleen C. Fraser; Svetlana Kiritchenko; Isar Nejadgholi (Frontiers Artif. Intell., 2022)

Diversity is Not a One-Way Street: Pilot Study on Ethical Interventions for Racial Bias in Text-to-Image Systems. - Kathleen C. Fraser; Svetlana Kiritchenko; Isar Nejadgholi (ICCC, 2023)

ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations. - Hamideh Ghanadian; Isar Nejadgholi; Hussein Al Osman (WASSA@ACL, 2023)

A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? - Kathleen C. Fraser; Svetlana Kiritchenko; Isar Nejadgholi (CoRR, 2023)

The crime of being poor. - Georgina Curto; Svetlana Kiritchenko; Isar Nejadgholi; Kathleen C. Fraser (CoRR, 2023)

Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers. - Isar Nejadgholi; Svetlana Kiritchenko; Kathleen C. Fraser; Esma Balkir (CoRR, 2023)

Human-Centered AI Applications for Canada's Immigration Settlement Sector. - Isar Nejadgholi; Maryam Molamohammadi; Kimiya Missaghi; Samir Bakhtawar (AIES (1), 2024)

Projective Methods for Mitigating Gender Bias in Pre-trained Language Models. - Hillary Dawkins; Isar Nejadgholi; Daniel Gillis; Judi McCuaig (LREC/COLING, 2024)

Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes. - Isar Nejadgholi; Kathleen C. Fraser; Anna Kerkhof; Svetlana Kiritchenko (LREC/COLING, 2024)

Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. - Rongchen Guo; Isar Nejadgholi; Hillary Dawkins; Kathleen C. Fraser; Svetlana Kiritchenko (EMNLP, 2024)

How Does Stereotype Content Differ across Data Sources? - Kathleen C. Fraser; Svetlana Kiritchenko; Isar Nejadgholi (*SEM@NAACL, 2024)

WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles. - Hillary Dawkins; Isar Nejadgholi; Chi-kiu Lo (WMT, 2024)

Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models. - Hamideh Ghanadian; Isar Nejadgholi; Hussein Al Osman (IEEE Access, 2024)

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada. - Isar Nejadgholi; Maryam Molamohammadi (CoRR, 2024)

PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages. - Sina Ahmadi; Rico Sennrich; Erfan Karami; Ako Marani; Parviz Fekrazad; Gholamreza Akbarzadeh Baghban; Hanah Hadi; Semko Heidari; Mahîr Dogan; Pedram Asadi; Dashne Bashir; Mohammad Amin Ghodrati; et al. (ACL (1), 2025)

Analysis of Canadian Wildfire Tweets Over Seven Years. - Braeden Sherritt; Isar Nejadgholi; Marzieh Amini (Canadian AI, 2025)

Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia. - Georgina Curto; Svetlana Kiritchenko; Muhammad Hammad Fahim Siddiqui; Isar Nejadgholi; Kathleen C. Fraser (NAACL (Findings), 2025)

WildFireCan-MMD: A Multimodal dataset for Classification of User-generated Content During Wildfires in Canada. - Braeden Sherritt; Isar Nejadgholi; Marzieh Amini (CoRR, 2025)

Gender-Neutral Machine Translation Strategies in Practice. - Hillary Dawkins; Isar Nejadgholi; Chi-kiu Lo (CoRR, 2025)

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency. - Kathleen C. Fraser; Hillary Dawkins; Isar Nejadgholi; Svetlana Kiritchenko (CoRR, 2025)

A Taxonomy for Design and Evaluation of Prompt-Based Natural Language Explanations. - Isar Nejadgholi; Mona Omidyeganeh; Marc-Antoine Drouin; Jonathan Boisvert (CoRR, 2025)