Isar Nejadgholi

According to our database1, Isar Nejadgholi authored at least 42 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Human-Centered AI Applications for Canada's Immigration Settlement Sector.
CoRR, 2024

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada.
CoRR, 2024

Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models.
IEEE Access, 2024

WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles.
Proceedings of the Ninth Conference on Machine Translation, 2024

How Does Stereotype Content Differ across Data Sources?
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Projective Methods for Mitigating Gender Bias in Pre-trained Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers.
CoRR, 2023

The crime of being poor.
CoRR, 2023

A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
CoRR, 2023

ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Diversity is Not a One-Way Street: Pilot Study on Ethical Interventions for Racial Bias in Text-to-Image Systems.
Proceedings of the 14th International Conference on Computational Creativity, 2023

2022
Computational Modeling of Stereotype Content in Text.
Frontiers Artif. Intell., 2022

Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models.
CoRR, 2022

Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Extracting Age-Related Stereotypes from Social Media Texts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective.
J. Artif. Intell. Res., 2021

A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning.
CoRR, 2021

Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Towards Ethics by Design in Online Abusive Content Detection.
CoRR, 2020

Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

On Cross-Dataset Generalization in Automatic Detection of Online Abuse.
Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019
Classification of Doppler radar reflections as preprocessing for breathing rate monitoring.
IET Signal Process., 2019

Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models.
CoRR, 2019

Recognizing UMLS Semantic Types with Deep Learning.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content.
Proceedings of the 2nd Workshop on Abusive Language Online, 2018

2017
A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory.
Neural Process. Lett., 2017

A Semi-Supervised Training Method for Semantic Search of Legal Facts in Canadian Immigration Cases.
Proceedings of the Legal Knowledge and Information Systems, 2017

2016
Time-frequency based contactless estimation of vital signs of human while walking using PMCW radar.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

Using bioimpedance spectroscopy parameters as real-time feedback during tDCS.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
A comparative study of PCA, SIMCA and Cole model for classification of bioimpedance spectroscopy measurements.
Comput. Biol. Medicine, 2015

Bioimpedance spectroscopy method for investigating changes to intracranial dose during transcranial direct current stimulation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013
Controlling deterministic output variability in a feature extracting chaotic BAM.
Neurocomputing, 2013

2012
A Chaotic Feature Extracting BAM and Its Application in Implementing Memory Search.
Neural Process. Lett., 2012

2011
Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks.
Neurocomputing, 2011

Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods.
Comput. Biol. Medicine, 2011

2010
Chaotic control of deterministic variability in a BAM-inspired model of memory.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

2009
Nonlinear normalization of input patterns to speaker variability in speech recognition neural networks.
Neural Comput. Appl., 2009


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