Isar Nejadgholi
According to our database1,
Isar Nejadgholi
authored at least 35 papers
between 2009 and 2024.
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Bibliography
2024
CoRR, 2024
Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models.
IEEE Access, 2024
2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers.
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
2022
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
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
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
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
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
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
Neurocomputing, 2013
2012
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
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