Alessandro Fabris

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All published works

Action	Title	Year	Authors
+ PDF Chat	Developing a Fair Online Recruitment Framework Based on Job-seekers' Fairness Concerns	2025	Changyang He Yue Deng Alessandro Fabris Bo Li Asia J. Biega
+ PDF Chat	Lazy Data Practices Harm Fairness Research	2024	Jan Simson Alessandro Fabris Christoph Kern
+ PDF Chat	Non-discrimination law in Europe: a primer for non-lawyers	2024	Frederik Zuiderveen Borgesius Nina Baranowska Philipp Hacker Alessandro Fabris
+ PDF Chat	Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark	2024	Marina Ceccon Davide Dalle Pezze Alessandro Fabris Gian Antonio Susto
+ PDF Chat	Fairness Evolution in Continual Learning for Medical Imaging	2024	Marina Ceccon Davide Dalle Pezze Alessandro Fabris Gian Antonio Susto
+ PDF Chat	A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services	2024	Luca Vittorio Piron Matteo Cederle Marina Ceccon Federico Chiariotti Alessandro Fabris Marco Fabris Gian Antonio Susto
+ PDF Chat	Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach	2023	Alessandro Fabris Andrea Esuli Alejandro Moreo Fabrizio Sebastiani
+	Learning to Quantify	2023	Andrea Esuli Alessandro Fabris Alejandro Moreo Fabrizio Sebastiani
+	Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust	2023	Teresa Scantamburlo Àtia Cortés Francesca Foffano Cristian Barrué Veronica Distefano Long Pham Alessandro Fabris
+	Fairness and Bias in Algorithmic Hiring	2023	Alessandro Fabris Nina Baranowska Matthew Dennis Philipp Hacker Jorge Saldivar Frederik Zuiderveen Borgesius Asia J. Biega
+ PDF Chat	Algorithmic fairness datasets: the story so far	2022	Alessandro Fabris S. Messina Gianmaria Silvello Gian Antonio Susto
+	Incentives for Item Duplication under Fair Ranking Policies	2021	Giorgio Maria Di Nunzio Alessandro Fabris Gianmaria Silvello Gian Antonio Susto
+	Measuring Fairness under Unawareness via Quantification.	2021	Alessandro Fabris Andrea Esuli Alejandro Moreo Fabrizio Sebastiani
+ PDF Chat	Measuring Fairness under Unawareness of Sensitive Attributes: A Quantification-Based Approach	2021	Alessandro Fabris Andrea Esuli Alejandro Moreo Fabrizio Sebastiani
+ PDF Chat	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing	2021	Alessandro Fabris Alan Mishler Stefano Gottardi Mattia Carletti Matteo Daicampi Gian Antonio Susto Gianmaria Silvello
+	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing	2021	Alessandro Fabris Alan Mishler Stefano Gottardi Mattia Carletti Matteo Daicampi Gian Antonio Susto Gianmaria Silvello
+ PDF Chat	Incentives for Item Duplication Under Fair Ranking Policies	2021	Giorgio Maria Di Nunzio Alessandro Fabris Gianmaria Silvello Gian Antonio Susto
+	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing	2021	Alessandro Fabris Alan Mishler Stefano Gottardi Mattia Carletti Matteo Daicampi Gian Antonio Susto Gianmaria Silvello
+	Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach	2021	Alessandro Fabris Andrea Esuli Alejandro Moreo Fabrizio Sebastiani
+	Incentives for Item Duplication under Fair Ranking Policies	2021	Giorgio Maria Di Nunzio Alessandro Fabris Gianmaria Silvello Gian Antonio Susto
+ PDF Chat	Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms	2020	Alessandro Fabris Alberto Purpura Gianmaria Silvello Gian Antonio Susto
+	Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms	2020	Alessandro Fabris Alberto Purpura Gianmaria Silvello Gian Antonio Susto
+	Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms	2020	Alessandro Fabris Alberto Purpura Gianmaria Silvello Gian Antonio Susto

Common Coauthors

Coauthor	Papers Together
Gian Antonio Susto	13
Gianmaria Silvello	10
Fabrizio Sebastiani	5
Andrea Esuli	5
Alejandro Moreo	5
Mattia Carletti	3
Alan Mishler	3
Marina Ceccon	3
Giorgio Maria Di Nunzio	3
Alberto Purpura	3
Matteo Daicampi	2
Philipp Hacker	2
Frederik Zuiderveen Borgesius	2
Nina Baranowska	2
Stefano Gottardi	2
Davide Dalle Pezze	2
Asia J. Biega	2
Marco Fabris	1
Francesca Foffano	1
Christoph Kern	1
Changyang He	1
Jan Simson	1
Cristian Barrué	1
Stefano Gottardi	1
Federico Chiariotti	1
Jorge Saldivar	1
S. Messina	1
Àtia Cortés	1
Teresa Scantamburlo	1
Matteo Cederle	1
Matthew Dennis	1
Bo Li	1
Yue Deng	1
Long Pham	1
Luca Vittorio Piron	1
Veronica Distefano	1
Matteo Daicampi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media	2017	Juhi Kulshrestha Motahhare Eslami Johnnatan Messias Muhammad Bilal Zafar Saptarshi Ghosh Krishna P. Gummadi Karrie Karahalios	4
+	Fairness of Exposure in Rankings	2018	Ashudeep Singh Thorsten Joachims	4
+ PDF Chat	Fairness, Welfare, and Equity in Personalized Pricing	2021	Nathan Kallus Angela Zhou	3
+	Measuring Fairness in Ranked Outputs	2017	Ke Yang Julia Stoyanovich	3
+ PDF Chat	Ensuring Fairness under Prior Probability Shifts	2021	Arpita Biswas Suvam Mukherjee	3
+ PDF Chat	Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?	2019	Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miro Dudík Hanna Wallach	3
+ PDF Chat	Assessing algorithmic fairness with unobserved protected class using data combination	2020	Nathan Kallus Xiaojie Mao Angela Zhou	3
+ PDF Chat	Semantics derived automatically from language corpora contain human-like biases	2017	Aylin Caliskan Joanna J. Bryson Arvind Narayanan	3
+ PDF Chat	Robust Fairness Under Covariate Shift	2021	Ashkan Rezaei Anqi Liu Omid Memarrast Brian D. Ziebart	2
+	Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information	2021	Pranjal Awasthi Alex Beutel Matthäus Kleindeßner Jamie Morgenstern Xuezhi Wang	2
+ PDF Chat	BOLD	2021	Jwala Dhamala Tony Sun Varun Kumar Satyapriya Krishna Yada Pruksachatkun Kai-Wei Chang Rahul Gupta	2
+ PDF Chat	First Women, Second Sex: Gender Bias in Wikipedia	2015	Eduardo Graells-Garrido Mounia Lalmas Filippo Menczer	2
+	Availability: A heuristic for judging frequency and probability	1973	Amos Tversky Daniel Kahneman	2
+ PDF Chat	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing	2021	Alessandro Fabris Alan Mishler Stefano Gottardi Mattia Carletti Matteo Daicampi Gian Antonio Susto Gianmaria Silvello	2
+	On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes	2021	Riccardo Fogliato Alice Xiang Zachary C. Lipton Daniel S. Nagin Alexandra Chouldechova	2
+ PDF Chat	Tweet sentiment quantification: An experimental re-evaluation	2022	Alejandro Moreo Fabrizio Sebastiani	2
+	On Discrimination Discovery and Removal in Ranked Data using Causal Graph	2018	Yongkai Wu Lu Zhang Xintao Wu	2
+ PDF Chat	A comparative study of fairness-enhancing interventions in machine learning	2019	Sorelle A. Friedler Carlos Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth	2
+	Algorithmic targeting of social policies	2020	Alejandro Noriega-Campero Bernardo Garcia-Bulle Luis Fernando Cantú Michiel A. Bakker Luis Tejerina Alex Pentland	2
+	Policy Learning for Fairness in Ranking	2019	Ashudeep Singh Thorsten Joachims	2
+ PDF Chat	Controlling Fairness and Bias in Dynamic Learning-to-Rank	2020	Marco Morik Ashudeep Singh Jessica Hong Thorsten Joachims	2
+ PDF Chat	Feedback Loop and Bias Amplification in Recommender Systems	2020	Masoud Mansoury Himan Abdollahpouri Mykola Pechenizkiy Bamshad Mobasher Robin Burke	2
+	Word embeddings quantify 100 years of gender and ethnic stereotypes	2018	Nikhil Garg Londa Schiebinger Dan Jurafsky James Zou	2
+ PDF Chat	Mitigating Bias in Set Selection with Noisy Protected Attributes	2021	Anay Mehrotra L. Elisa Celis	2
+ PDF Chat	A Deep Relevance Matching Model for Ad-hoc Retrieval	2016	Jiafeng Guo Yixing Fan Qingyao Ai W. Bruce Croft	2
+ PDF Chat	Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search	2019	Sahin Cem Geyik Stuart Ambler Krishnaram Kenthapadi	2
+	Toward Controlling Discrimination in Online Ad Auctions	2019	L. Elisa Celis Anay Mehrotra Nisheeth K. Vishnoi	2
+	It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks	2021	Michelle Bao Angela Zhou Samantha A. Zottola Brian Brubach Sarah L. Desmarais Aaron Horowitz Kristian Lum Suresh Venkatasubramanian	2
+ PDF Chat	Harvesting implicit group attitudes and beliefs from a demonstration web site.	2002	Brian A. Nosek Mahzarin R. Banaji Anthony G. Greenwald	2
+ PDF Chat	A Survey on Bias and Fairness in Machine Learning	2021	Ninareh Mehrabi Fred Morstatter Nripsuta Ani Saxena Kristina Lerman Aram Galstyan	2
+	An Empirical Study of Rich Subgroup Fairness for Machine Learning	2019	Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu	2
+ PDF Chat	Math = male, me = female, therefore math ≠ me.	2002	Brian A. Nosek Mahzarin R. Banaji Anthony G. Greenwald	2
+ PDF Chat	The Disparate Effects of Strategic Manipulation	2019	Lily Hu Nicole Immorlica Jennifer Wortman Vaughan	2
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	2
+ PDF Chat	Measuring personalization of web search	2013	Anikó Hannák Piotr Sapieżyński Arash Molavi Kakhki Balachander Krishnamurthy David Lazer Alan Mislove Christo Wilson	2
+	Attenuating Bias in Word Vectors	2019	Sunipa Dev Jeff M. Phillips	2
+	Fairness Constraints: Mechanisms for Fair Classification	2015	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi	2
+	Does mitigating ML's impact disparity require treatment disparity?	2017	Zachary C. Lipton Alexandra Chouldechova Julian McAuley	2
+	Residual Unfairness in Fair Machine Learning from Prejudiced Data	2018	Nathan Kallus Angela Zhou	2
+ PDF Chat	FA*IR	2017	Meike Zehlike Francesco Bonchi Carlos Castillo Sara Hajian M. Megahed Ricardo Baeza‐Yates	2
+	Fairness in Recommendation Ranking through Pairwise Comparisons	2019	Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei Yi Wu Lukasz Heldt Zhe Zhao Lichan Hong Ed H.	2
+	Auditing radicalization pathways on YouTube	2020	Manoel Horta Ribeiro Raphael Ottoni Robert West Virgı́lio Almeida Wagner Meira	2
+ PDF Chat	Certifying and Removing Disparate Impact	2015	Michael Feldman Sorelle A. Friedler John Moeller Carlos Scheidegger Suresh Venkatasubramanian	2
+ PDF Chat	Evaluating Stochastic Rankings with Expected Exposure	2020	Fernando Díaz Bhaskar Mitra Michael D. Ekstrand Asia J. Biega Ben Carterette	2
+	Counterfactual Fairness	2017	Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo Silva	2
+	Bounding the fairness and accuracy of classifiers from population statistics	2020	Sivan Sabato Elad Yom‐Tov	2
+ PDF Chat	Item Listing Optimization for E-Commerce Websites Based on Diversity	2019	Naoki Nishimura Kôtarô Tanahashi Koji Suganuma Masamichi J. Miyama Masayuki Ohzeki	2
+ PDF Chat	Bias in Bios	2019	Maria De‐Arteaga Alexey Romanov Hanna Wallach Jennifer Chayes Christian Borgs Alexandra Chouldechova Sahin Cem Geyik Krishnaram Kenthapadi Adam Tauman Kalai	2
+	Fair Classification with Group-Dependent Label Noise	2021	Jialu Wang Yang Liu Caleb Levy	2
+ PDF Chat	Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness	2022	McKane Andrus Sarah Villeneuve	2