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Trends in Explanations: Understanding and Debugging Data-Driven Systems :  Glavic, Boris, Meliou, Alexandra, Roy, Sudeepa: Amazon.com.be: Books
Trends in Explanations: Understanding and Debugging Data-Driven Systems : Glavic, Boris, Meliou, Alexandra, Roy, Sudeepa: Amazon.com.be: Books

Themis: Automatically Testing Software for Discrimination
Themis: Automatically Testing Software for Discrimination

Why so? or Why no? Functional Causality for Explaining Query Answers |  DeepAI
Why so? or Why no? Functional Causality for Explaining Query Answers | DeepAI

STEM Workforce Diversity Spring 2019 Page 16
STEM Workforce Diversity Spring 2019 Page 16

PDF) Tiresias: a demonstration of how-to queries | Alexandra Meliou -  Academia.edu
PDF) Tiresias: a demonstration of how-to queries | Alexandra Meliou - Academia.edu

Anna Fariha
Anna Fariha

Lilly Fellowship for Teaching Excellence | Center for Teaching & Learning
Lilly Fellowship for Teaching Excellence | Center for Teaching & Learning

Computing for the common good : UMass Amherst
Computing for the common good : UMass Amherst

Alexandra Meliou: Associate Professor, University of Massachusetts, Amherst
Alexandra Meliou: Associate Professor, University of Massachusetts, Amherst

Monika Gfrerer - Anlageberaterin - Salzburger Sparkasse Bank AG | XING
Monika Gfrerer - Anlageberaterin - Salzburger Sparkasse Bank AG | XING

Juliana Freire on Twitter: "Alexandra Meliou talking about understanding  data, diagnosing issues/biases, and ensuring fairness #DBmeetsVis  https://t.co/KGNIuy0z31" / Twitter
Juliana Freire on Twitter: "Alexandra Meliou talking about understanding data, diagnosing issues/biases, and ensuring fairness #DBmeetsVis https://t.co/KGNIuy0z31" / Twitter

Causal Testing: Understanding Defects' Root Causes (ICSE 2020 - Technical  Papers) - ICSE 2020
Causal Testing: Understanding Defects' Root Causes (ICSE 2020 - Technical Papers) - ICSE 2020

Alexandra Meliou: Associate Professor, University of Massachusetts, Amherst
Alexandra Meliou: Associate Professor, University of Massachusetts, Amherst

Default-all is dangerous! Wolfgang Gatterbauer Alexandra Meliou Dan Suciu  Database group University of Washington. - ppt download
Default-all is dangerous! Wolfgang Gatterbauer Alexandra Meliou Dan Suciu Database group University of Washington. - ppt download

Arjun Radhakrishna (@arjun_rad) / Twitter
Arjun Radhakrishna (@arjun_rad) / Twitter

Engineering Software to Prevent Undesirable Behavior of Intelligent Machines
Engineering Software to Prevent Undesirable Behavior of Intelligent Machines

Causality and explanations in databases | Proceedings of the VLDB Endowment
Causality and explanations in databases | Proceedings of the VLDB Endowment

CoCo: Interactive Exploration of Conformance Constraints for Data  Understanding and Data Cleaning | Proceedings of the 2021 International  Conference on Management of Data
CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning | Proceedings of the 2021 International Conference on Management of Data

Big Messy Data: Looking for the Signal in Noisy and Biased Data
Big Messy Data: Looking for the Signal in Noisy and Biased Data

Alexandra Meliou: Associate Professor, University of Massachusetts, Amherst
Alexandra Meliou: Associate Professor, University of Massachusetts, Amherst

University of Washington Database Group Reverse Data Management … and the  case for Reverse What-If queries 1 Alexandra Meliou, Wolfgang Gatterbauer,  Dan. - ppt download
University of Washington Database Group Reverse Data Management … and the case for Reverse What-If queries 1 Alexandra Meliou, Wolfgang Gatterbauer, Dan. - ppt download

Fairness Testing: Testing Software for Discrimination | DeepAI
Fairness Testing: Testing Software for Discrimination | DeepAI

Default-all is dangerous! Wolfgang Gatterbauer Alexandra Meliou Dan Suciu  Database group University of Washington. - ppt download
Default-all is dangerous! Wolfgang Gatterbauer Alexandra Meliou Dan Suciu Database group University of Washington. - ppt download

Why and How: A Reverse Perspective on Data Management
Why and How: A Reverse Perspective on Data Management