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2020 – today
- 2023
[i13]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? CoRR abs/2302.07159 (2023)- [i12]Georgina Curto, Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
The crime of being poor. CoRR abs/2303.14128 (2023) - 2022
- [j10]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
Computational Modeling of Stereotype Content in Text. Frontiers Artif. Intell. 5: 826207 (2022) - [c15]Hillary Dawkins, Isar Nejadgholi:
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification. ACL (2) 2022: 538-544 - [c14]Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. ACL (1) 2022: 5517-5529 - [c13]Isar Nejadgholi, Esma Balkir, Kathleen C. Fraser, Svetlana Kiritchenko:
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. BlackboxNLP@EMNLP 2022: 225-237 - [c12]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
Extracting Age-Related Stereotypes from Social Media Texts. LREC 2022: 3183-3194 - [c11]Esma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. NAACL-HLT 2022: 2672-2686 - [i11]Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. CoRR abs/2204.02261 (2022) - [i10]Esma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. CoRR abs/2205.03302 (2022) - [i9]Esma Balkir, Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models. CoRR abs/2206.03945 (2022) - [i8]Isar Nejadgholi, Esma Balkir, Kathleen C. Fraser, Svetlana Kiritchenko:
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. CoRR abs/2210.10689 (2022) - 2021
- [j9]Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. J. Artif. Intell. Res. 71: 431-478 (2021) - [c10]Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko:
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. ACL/IJCNLP (1) 2021: 600-616 - [i7]Rajitha Hathurusinghe, Isar Nejadgholi, Miodrag Bolic:
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning. CoRR abs/2105.09198 (2021) - [i6]Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko:
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. CoRR abs/2106.02596 (2021) - 2020
- [c9]Isar Nejadgholi, Svetlana Kiritchenko:
On Cross-Dataset Generalization in Automatic Detection of Online Abuse. WOAH 2020: 173-183 - [c8]Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn:
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. BioNLP 2020: 177-186 - [i5]Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn:
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. CoRR abs/2006.05281 (2020) - [i4]Isar Nejadgholi, Svetlana Kiritchenko:
On Cross-Dataset Generalization in Automatic Detection of Online Abuse. CoRR abs/2010.07414 (2020) - [i3]Svetlana Kiritchenko, Isar Nejadgholi:
Towards Ethics by Design in Online Abusive Content Detection. CoRR abs/2010.14952 (2020) - [i2]Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. CoRR abs/2012.12305 (2020)
2010 – 2019
- 2019
- [j8]Isar Nejadgholi, Hamidreza Sadreazami, Sreeraman Rajan
, Miodrag Bolic:
Classification of Doppler radar reflections as preprocessing for breathing rate monitoring. IET Signal Process. 13(1): 21-28 (2019) - [c7]Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine:
Recognizing UMLS Semantic Types with Deep Learning. LOUHI@EMNLP 2019: 157-167 - [i1]Kathleen C. Fraser, Isar Nejadgholi, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine:
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models. CoRR abs/1910.01274 (2019) - 2018
- [c6]Isuru Gunasekara, Isar Nejadgholi:
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content. ALW 2018: 21-25 - 2017
- [j7]Isar Nejadgholi, Seyyed Ali Seyyedsalehi, Sylvain Chartier:
A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory. Neural Process. Lett. 46(3): 943-960 (2017) - [c5]Isar Nejadgholi, Renaud Bougueng, Samuel Witherspoon:
A Semi-Supervised Training Method for Semantic Search of Legal Facts in Canadian Immigration Cases. JURIX 2017: 125-134 - 2016
- [c4]Isar Nejadgholi, Herschel B. Caytak, Miodrag Bolic:
Using bioimpedance spectroscopy parameters as real-time feedback during tDCS. EMBC 2016: 5246-5249 - [c3]Isar Nejadgholi, Sreeraman Rajan, Miodrag Bolic:
Time-frequency based contactless estimation of vital signs of human while walking using PMCW radar. HealthCom 2016: 1-6 - 2015
- [j6]Isar Nejadgholi, Miodrag Bolic:
A comparative study of PCA, SIMCA and Cole model for classification of bioimpedance spectroscopy measurements. Comput. Biol. Medicine 63: 42-51 (2015) - [c2]Herschel B. Caytak, Isar Nejadgholi, Izmail Batkin, Miodrag Bolic:
Bioimpedance spectroscopy method for investigating changes to intracranial dose during transcranial direct current stimulation. EMBC 2015: 3448-3451 - 2013
- [j5]Isar Nejadgholi, Sylvain Chartier, Seyyed Ali Seyyedsalehi:
Controlling deterministic output variability in a feature extracting chaotic BAM. Neurocomputing 120: 298-309 (2013) - 2012
- [j4]Isar Nejadgholi, Seyyed Ali Seyyedsalehi, Sylvain Chartier:
A Chaotic Feature Extracting BAM and Its Application in Implementing Memory Search. Neural Process. Lett. 36(1): 69-99 (2012) - 2011
- [j3]Isar Nejadgholi, Mohammad Hassan Moradi, Fatemeh Abdolali:
Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods. Comput. Biol. Medicine 41(6): 411-419 (2011) - [j2]Louiza Dehyadegary, Seyyed Ali Seyyedsalehi, Isar Nejadgholi:
Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks. Neurocomputing 74(17): 2716-2724 (2011) - 2010
- [c1]Isar Nejadgholi, Seyyed Ali Seyyedsalehi:
Chaotic control of deterministic variability in a BAM-inspired model of memory. ISDA 2010: 203-208
2000 – 2009
- 2009
- [j1]Isar Nejadgholi, Seyyed Ali Seyyedsalehi:
Nonlinear normalization of input patterns to speaker variability in speech recognition neural networks. Neural Comput. Appl. 18(1): 45-55 (2009)
Coauthor Index
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last updated on 2023-04-16 00:38 CEST by the dblp team
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