Carlos Mougan - RankMe

23 papers A* 2B 1C 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The science and practice of proportionality in AI risk evaluations. CoRR Carlos Mougan, Lauritz Morlock, Jair Aguirre, James R. M. Black, Jan Brauner, Siméon Campos, Sunishchal Dev, David Fernández Llorca, Alberto Franzin, Mario Fritz, Emilia Gómez, Friederike Grosse-Holz, Eloise Hamilton, Max Hasin, José Hernández-Orallo, Dan Lahav, Luca Massarelli, Vasilios Mavroudis, Malcolm Murray, Patricia Paskov, Jaime Raldua, Wout Schellaert
2025	J	`jnl`	Explanation Shift: How Did the Distribution Shift Impact the Model? Trans. Mach. Learn. Res. Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2025	J	`jnl`	Measuring Fairness in Financial Transaction Machine Learning Models. CoRR Deniz Sezin Ayvaz, Lorenzo Belenguer, Hankun He, Deborah Dormah Kanubala, Mingxu Li, Soung Low, Carlos Mougan, Faithful Chiagoziem Onwuegbuche, Yulu Pi, Natalia Sikora, Dan Tran, Shresth Verma, Hanzhi Wang, Skyler Xie, Adeline Pelletier
2025	J	`jnl`	Model Monitoring in the Absence of Labeled Data via Feature Attributions Distributions. CoRR Carlos Mougan
2025	J	`jnl`	Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples. CoRR Alexandra Souly, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, Vasilios Mavroudis, Erik Jones, Chris Hicks, Nicholas Carlini, Yarin Gal, Robert Kirk
2024	J	`jnl`	Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment. CoRR Allison Huang, Yulu Niki Pi, Carlos Mougan
2024	—	`conf`	Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence. EWAF 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
2024	J	`jnl`	Policy advice and best practices on bias and fairness in AI. Ethics Inf. Technol. 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
2023	J	`jnl`	AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI. CoRR 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
2023	J	`jnl`	Demographic Parity Inspector: Fairness Audits via the Explanation Space. CoRR Carlos Mougan, Laura State, Antonio Ferrara, Salvatore Ruggieri, Steffen Staab
2023	J	`jnl`	Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2023	C	`conf`	Fairness Implications of Encoding Protected Categorical Attributes. AIES Carlos Mougan, José M. Álvarez, Salvatore Ruggieri, Steffen Staab
2023	A*	`conf`	How to Data in Datathons. NeurIPS 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
2023	J	`jnl`	How to Data in Datathons. CoRR Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabrejas Egea, Ryan Sze-Yin Chan, David Salvador Jasin, Martin Stoffel, Kirstie Jane Whitaker, Jules Manser
2023	J	`jnl`	Kantian Deontology Meets AI Alignment: Towards Morally Robust Fairness Metrics. CoRR Carlos Mougan, Joshua Brand
2023	J	`jnl`	Model Agnostic Explainable Selective Regression via Uncertainty Estimation. CoRR Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen
2023	A*	`conf`	Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap. AAAI Carlos Mougan, Dan Saattrup Nielsen
2023	J	`jnl`	The Role of Large Language Models in the Recognition of Territorial Sovereignty: An Analysis of the Construction of Legitimacy. CoRR Francisco Castillo-Eslava, Carlos Mougan, Alejandro Romero-Reche, Steffen Staab
2022	J	`jnl`	Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2022	J	`jnl`	Fairness implications of encoding protected categorical attributes. CoRR Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab
2022	J	`jnl`	Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap. CoRR Carlos Mougan, Dan Saattrup Nielsen
2021	B	`conf`	Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. MDAI Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol
2021	J	`jnl`	Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. CoRR Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol