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Mayra Russo
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2020 – today
- 2024
- [j4]Mayra Russo
, Yasharajsinh Chudasama
Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines. IEEE Access 12: 96821-96847 (2024) - [j3]José M. Álvarez
Policy advice and best practices on bias and fairness in AI. Ethics Inf. Technol. 26(2): 31 (2024) - [j2]Miriam Fahimi
Articulation Work and Tinkering for Fairness in Machine Learning. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-23 (2024) - [c5]Mayra Russo, Maria-Esther Vidal:
Leveraging Ontologies to Document Bias in Data. AEQUITAS@ECAI 2024 - [c4]Mayra Russo
Bridging Research and Practice Through Conversation: Reflecting on Our Experience. EAAMO 2024: 7:1-7:11 - [c3]Mayra Russo
Tracing the Impact of Bias in Link Prediction. SAC 2024: 1626-1633 - [i5]José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal:
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. CoRR abs/2402.05536 (2024) - [i4]Mayra Russo, Maria-Esther Vidal:
Leveraging Ontologies to Document Bias in Data. CoRR abs/2407.00509 (2024) - [i3]Miriam Fahimi, Mayra Russo, Kristen M. Scott, Maria-Esther Vidal, Bettina Berendt, Katharina Kinder-Kurlanda:
Articulation Work and Tinkering for Fairness in Machine Learning. CoRR abs/2407.16496 (2024) - [i2]Mayra Russo, Mackenzie Jorgensen, Kristen M. Scott, Wendy Xu, Di H. Nguyen, Jessie Finocchiaro, Matthew Olckers:
Bridging Research and Practice Through Conversation: Reflecting on Our Experience. CoRR abs/2409.05880 (2024) - 2023
- [j1]José Alberto Benítez-Andrades
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web 14(5): 873-892 (2023) - [c2]Nathan Dennler
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. AIES 2023: 375-386 - [c1]Paula Reyero Lobo
A Multidisciplinary Lens of Bias in Hate Speech. ASONAM 2023: 121-125 - [i1]Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal:
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. CoRR abs/2307.10223 (2023)
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last updated on 2024-12-02 21:31 CET by the dblp team
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