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Carlos Mougan
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2020 – today
- 2024
- [j1]José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri:
Policy advice and best practices on bias and fairness in AI. Ethics Inf. Technol. 26(2): 31 (2024) - 2023
- [c4]Carlos Mougan, Dan Saattrup Nielsen:
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap. AAAI 2023: 15037-15045 - [c3]Carlos Mougan, José M. Álvarez, Salvatore Ruggieri, Steffen Staab:
Fairness Implications of Encoding Protected Categorical Attributes. AIES 2023: 454-465 - [c2]Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabrejas Egea, Ryan Sze-Yin Chan, David Salvador Jasin, Martin Stoffel, Kirstie J. Whitaker, Jules Manser:
How to Data in Datathons. NeurIPS 2023 - [i11]Carlos Mougan, Laura State, Antonio Ferrara, Salvatore Ruggieri, Steffen Staab:
Demographic Parity Inspector: Fairness Audits via the Explanation Space. CoRR abs/2303.08040 (2023) - [i10]Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR abs/2303.08081 (2023) - [i9]Francisco Castillo-Eslava, Carlos Mougan, Alejandro Romero-Reche, Steffen Staab:
The Role of Large Language Models in the Recognition of Territorial Sovereignty: An Analysis of the Construction of Legitimacy. CoRR abs/2304.06030 (2023) - [i8]Ayse Gizem Yasar, Andrew Chong, Evan Dong, Thomas Krendl Gilbert, Sarah Hladikova, Roland Maio, Carlos Mougan, Xudong Shen, Shubham Singh, Ana-Andreea Stoica, Savannah Thais, Miri Zilka:
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI. CoRR abs/2308.02033 (2023) - [i7]Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabregas-Ejea, Ryan Sze-Yin Chan, David Salvador Jasin, Martin Stoffel, Kirstie Jane Whitaker, Jules Manser:
How to Data in Datathons. CoRR abs/2309.09770 (2023) - [i6]Carlos Mougan, Joshua Brand:
Kantian Deontology Meets AI Alignment: Towards Morally Robust Fairness Metrics. CoRR abs/2311.05227 (2023) - [i5]Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen:
Model Agnostic Explainable Selective Regression via Uncertainty Estimation. CoRR abs/2311.09145 (2023) - 2022
- [i4]Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab:
Fairness implications of encoding protected categorical attributes. CoRR abs/2201.11358 (2022) - [i3]Carlos Mougan, Dan Saattrup Nielsen:
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap. CoRR abs/2201.11676 (2022) - [i2]Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR abs/2210.12369 (2022) - 2021
- [c1]Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. MDAI 2021: 168-180 - [i1]Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. CoRR abs/2105.13783 (2021)
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last updated on 2024-10-07 21:20 CEST by the dblp team
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