From 404f0977785444420cd5c76247fa6b6a98ec7d90 Mon Sep 17 00:00:00 2001
From: Pat Alt <55311242+pat-alt@users.noreply.github.com>
Date: Tue, 21 Mar 2023 11:18:19 +0100
Subject: [PATCH] trying to sort out reference
---
paper/paper.tex | 2 +-
references.bib | 1666 -----------------------------------------------
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@@ -459,7 +459,7 @@ Note that the Reference section does not count towards the page limit.
\medskip
-% \bibliography{references}
+\bibliography{bib}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section*{Checklist}
diff --git a/references.bib b/references.bib
deleted file mode 100644
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--- a/references.bib
+++ /dev/null
@@ -1,1666 +0,0 @@
-@inproceedings{LakkarajuExplanations,
- title = {{" How Do I Fool You?" Manipulating User Trust via Misleading Black Box Explanations}},
- booktitle = {Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
- author = {Lakkaraju, Himabindu and Bastani, Osbert},
- pages = {79--85}
-}
-
-@inproceedings{RibeiroWhyClassifier,
- title = {{"Why Should i Trust You?" Explaining the Predictions of Any Classifier}},
- booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
- author = {Ribeiro, Marco Tulio and Singh, Sameer and Guestrin, Carlos},
- pages = {1135--1144}
-}
-
-@inproceedings{HannekeALearning,
- title = {{A Bound on the Label Complexity of Agnostic Active Learning}},
- booktitle = {Proceedings of the 24th International Conference on Machine Learning},
- author = {Hanneke, Steve},
- pages = {353--360}
-}
-
-@article{deOliveiraAData,
- title = {{A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data}},
- author = {de Oliveira, Raphael Mazzine Barbosa and Martens, David},
- number = {16},
- pages = {7274},
- volume = {11}
-}
-
-@unpublished{AngelopoulosAQuantification,
- title = {{A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification}},
- author = {Angelopoulos, Anastasios N and Bates, Stephen},
- arxivId = {2107.07511}
-}
-
-@article{GrettonATest,
- title = {{A Kernel Two-Sample Test}},
- author = {Gretton, Arthur and Borgwardt, Karsten M and Rasch, Malte J and Sch{\"{o}}lkopf, Bernhard and Smola, Alexander},
- number = {1},
- pages = {723--773},
- volume = {13}
-}
-
-@article{McCullochAActivity,
- title = {{A Logical Calculus of the Ideas Immanent in Nervous Activity}},
- author = {McCulloch, Warren S and Pitts, Walter},
- number = {1},
- pages = {99--115},
- volume = {52}
-}
-
-@article{JolliffeALASSO,
- title = {{A Modified Principal Component Technique Based on the LASSO}},
- author = {Jolliffe, Ian T and Trendafilov, Nickolay T and Uddin, Mudassir},
- number = {3},
- pages = {531--547},
- volume = {12}
-}
-
-@book{FriedmanA1867-1960,
- title = {{A Monetary History of the United States, 1867-1960}},
- author = {Friedman, Milton and Schwartz, Anna Jacobson},
- volume = {14},
- publisher = {Princeton University Press}
-}
-
-@article{WittenAAnalysis,
- title = {{A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis}},
- author = {Witten, Daniela M and Tibshirani, Robert and Hastie, Trevor},
- number = {3},
- pages = {515--534},
- volume = {10}
-}
-
-@article{SturmAHorse,
- title = {{A Simple Method to Determine If a Music Information Retrieval System Is a ``Horse''}},
- author = {Sturm, Bob L},
- number = {6},
- pages = {1636--1644},
- volume = {16}
-}
-
-@article{HsiehASelectivity,
- title = {{A Social Interactions Model with Endogenous Friendship Formation and Selectivity}},
- author = {Hsieh, Chih-Sheng and Lee, Lung Fei},
- number = {2},
- pages = {301--319},
- volume = {31}
-}
-
-@unpublished{KarimiAProspects,
- title = {{A Survey of Algorithmic Recourse: Definitions, Formulations, Solutions, and Prospects}},
- author = {Karimi, Amir-Hossein and Barthe, Gilles and Sch{\"{o}}lkopf, Bernhard and Valera, Isabel},
- arxivId = {2010.04050}
-}
-
-@unpublished{BrancoADistributions,
- title = {{A Survey of Predictive Modelling under Imbalanced Distributions}},
- author = {Branco, Paula and Torgo, Luis and Ribeiro, Rita},
- arxivId = {1505.01658}
-}
-
-@article{GamaAAdaptation,
- title = {{A Survey on Concept Drift Adaptation}},
- author = {Gama, João and {\v{Z}}liobait{\.{e}}, Indrė and Bifet, Albert and Pechenizkiy, Mykola and Bouchachia, Abdelhamid},
- number = {4},
- pages = {1--37},
- volume = {46}
-}
-
-@inproceedings{LundbergAPredictions,
- title = {{A Unified Approach to Interpreting Model Predictions}},
- booktitle = {Proceedings of the 31st International Conference on Neural Information Processing Systems},
- author = {Lundberg, Scott M and Lee, Su-In},
- pages = {4768--4777}
-}
-
-@inproceedings{UstunActionableClassification,
- title = {{Actionable Recourse in Linear Classification}},
- booktitle = {Proceedings of the Conference on Fairness, Accountability, and Transparency},
- author = {Ustun, Berk and Spangher, Alexander and Liu, Yang},
- pages = {10--19}
-}
-
-@unpublished{KingmaAdam:Optimization,
- title = {{Adam: A Method for Stochastic Optimization}},
- author = {Kingma, Diederik P and Ba, Jimmy},
- arxivId = {1412.6980}
-}
-
-@article{ChettyAdjustmentRecords,
- title = {{Adjustment Costs, Firm Responses, and Micro vs. Macro Labor Supply Elasticities: Evidence from Danish Tax Records}},
- author = {Chetty, Raj and Friedman, John N and Olsen, Tore and Pistaferri, Luigi},
- number = {2},
- pages = {749--804},
- volume = {126}
-}
-
-@unpublished{RaghunathanAdversarialGeneralization,
- title = {{Adversarial Training Can Hurt Generalization}},
- author = {Raghunathan, Aditi and Xie, Sang Michael and Yang, Fanny and Duchi, John C and Liang, Percy},
- arxivId = {1906.06032}
-}
-
-@unpublished{KarimiAlgorithmicApproach,
- title = {{Algorithmic Recourse under Imperfect Causal Knowledge: A Probabilistic Approach}},
- author = {Karimi, Amir-Hossein and Von K{\"{u}}gelgen, Julius and Sch{\"{o}}lkopf, Bernhard and Valera, Isabel},
- arxivId = {2006.06831}
-}
-
-@inproceedings{KarimiAlgorithmicInterventions,
- title = {{Algorithmic Recourse: From Counterfactual Explanations to Interventions}},
- booktitle = {Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency},
- author = {Karimi, Amir-Hossein and Sch{\"{o}}lkopf, Bernhard and Valera, Isabel},
- pages = {353--362}
-}
-
-@book{WassermanAllStatistics,
- title = {{All of Nonparametric Statistics}},
- author = {Wasserman, Larry},
- publisher = {Springer Science {\&} Business Media}
-}
-
-@book{WassermanAllInference,
- title = {{All of Statistics: A Concise Course in Statistical Inference}},
- author = {Wasserman, Larry},
- publisher = {Springer Science {\&} Business Media}
-}
-
-@article{HeckmanAlternativeOverview,
- title = {{Alternative Methods for Evaluating the Impact of Interventions: An Overview}},
- author = {Heckman, James J and Robb Jr, Richard},
- number = {1-2},
- pages = {239--267},
- volume = {30}
-}
-
-@article{GrahamAnHeterogeneity,
- title = {{An Econometric Model of Network Formation with Degree Heterogeneity}},
- author = {Graham, Bryan S},
- number = {4},
- pages = {1033--1063},
- volume = {85}
-}
-
-@article{ChapelleAnSampling,
- title = {{An Empirical Evaluation of Thompson Sampling}},
- author = {Chapelle, Olivier and Li, Lihong},
- pages = {2249--2257},
- volume = {24}
-}
-
-@article{MostellerAnUtility,
- title = {{An Experimental Measurement of Utility}},
- author = {Mosteller, Frederick and Nogee, Philip},
- number = {5},
- pages = {371--404},
- volume = {59}
-}
-
-@article{FixAnEstimation,
- title = {{An Important Contribution to Nonparametric Discriminant Analysis and Density Estimation}},
- author = {Fix, E and Hodges, J},
- number = {57},
- pages = {233--238},
- volume = {3}
-}
-
-@article{ChandolaAnomalySurvey,
- title = {{Anomaly Detection: A Survey}},
- author = {Chandola, Varun and Banerjee, Arindam and Kumar, Vipin},
- number = {3},
- pages = {1--58},
- volume = {41}
-}
-
-@article{SimsAreAnalysis,
- title = {{Are Forecasting Models Usable for Policy Analysis?}},
- author = {Sims, Christopher A and {others}},
- number = {Win},
- pages = {2--16},
- volume = {10}
-}
-
-@article{DanielssonArtificialRisk,
- title = {{Artificial Intelligence and Systemic Risk}},
- author = {Danielsson, Jon and Macrae, Robert and Uthemann, Andreas},
- pages = {106290}
-}
-
-@misc{OECDArtificialMakers,
- title = {{Artificial Intelligence, Machine Learning and Big Data in Finance: Opportunities, Challenges and Implications for Policy Makers}},
- author = {{OECD}},
- url = {https://www.oecd.org/finance/financial-markets/Artificial-intelligence-machine-learning-big-data-in-finance.pdf}
-}
-
-@misc{OECDArtificialMakersb,
- title = {{Artificial Intelligence, Machine Learning and Big Data in Finance: Opportunities, Challenges and Implications for Policy Makers}},
- author = {{OECD}},
- publisher = {OECD},
- url = {https://www.oecd.org/finance/financial-markets/Artificial-intelligence-machine-learning-big-data-in-finance.pdf}
-}
-
-@misc{ManokhinAwesomePrediction,
- title = {{Awesome Conformal Prediction}},
- author = {Manokhin, Valery}
-}
-
-@article{KirschBatchbald:Learning,
- title = {{Batchbald: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning}},
- author = {Kirsch, Andreas and Van Amersfoort, Joost and Gal, Yarin},
- pages = {7026--7037},
- volume = {32}
-}
-
-@unpublished{HoffBayes-OptimalControl,
- title = {{Bayes-Optimal Prediction with Frequentist Coverage Control}},
- author = {Hoff, Peter},
- arxivId = {2105.14045}
-}
-
-@unpublished{HoulsbyBayesianLearning,
- title = {{Bayesian Active Learning for Classification and Preference Learning}},
- author = {Houlsby, Neil and Husz{\'{a}}r, Ferenc and Ghahramani, Zoubin and Lengyel, Máté},
- arxivId = {1112.5745}
-}
-
-@book{GelmanBayesianAnalysis,
- title = {{Bayesian Data Analysis}},
- author = {Gelman, Andrew and Carlin, John B and Stern, Hal S and Dunson, David B and Vehtari, Aki and Rubin, Donald B},
- publisher = {CRC press}
-}
-
-@incollection{GoanBayesianSurvey,
- title = {{Bayesian Neural Networks: An Introduction and Survey}},
- booktitle = {Case Studies in Applied Bayesian Data Science},
- author = {Goan, Ethan and Fookes, Clinton},
- pages = {45--87},
- publisher = {Springer}
-}
-
-@unpublished{StantonBayesianGuarantees,
- title = {{Bayesian Optimization with Conformal Coverage Guarantees}},
- author = {Stanton, Samuel and Maddox, Wesley and Wilson, Andrew Gordon},
- arxivId = {2210.12496}
-}
-
-@article{LeeBestDisturbances,
- title = {{Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances}},
- author = {Lee, Lung-fei},
- number = {4},
- pages = {307--335},
- volume = {22}
-}
-
-@unpublished{Navarro-MartinezBridgingDonations,
- title = {{Bridging the Gap between the Lab and the Field: Dictator Games and Donations}},
- author = {Navarro-Martinez, Daniel and Wang, Xinghua}
-}
-
-@unpublished{PawelczykCarla:Algorithms,
- title = {{Carla: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms}},
- author = {Pawelczyk, Martin and Bielawski, Sascha and van den Heuvel, Johannes and Richter, Tobias and Kasneci, Gjergji},
- arxivId = {2108.00783}
-}
-
-@article{DehejiaCausalPrograms,
- title = {{Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs}},
- author = {Dehejia, Rajeev H and Wahba, Sadek},
- number = {448},
- pages = {1053--1062},
- volume = {94}
-}
-
-@article{SimonsonChoiceEffects,
- title = {{Choice Based on Reasons: The Case of Attraction and Compromise Effects}},
- author = {Simonson, Itamar},
- number = {2},
- pages = {158--174},
- volume = {16}
-}
-
-@article{FalkCleanEffects,
- title = {{Clean Evidence on Peer Effects}},
- author = {Falk, Armin and Ichino, Andrea},
- number = {1},
- pages = {39--57},
- volume = {24}
-}
-
-@article{FehrCooperationExperiments,
- title = {{Cooperation and Punishment in Public Goods Experiments}},
- author = {Fehr, Ernst and Gachter, Simon},
- number = {4},
- pages = {980--994},
- volume = {90}
-}
-
-@article{SlackCounterfactualManipulated,
- title = {{Counterfactual Explanations Can Be Manipulated}},
- author = {Slack, Dylan and Hilgard, Anna and Lakkaraju, Himabindu and Singh, Sameer},
- volume = {34}
-}
-
-@unpublished{SpoonerCounterfactualModels,
- title = {{Counterfactual Explanations for Arbitrary Regression Models}},
- author = {Spooner, Thomas and Dervovic, Danial and Long, Jason and Shepard, Jon and Chen, Jiahao and Magazzeni, Daniele},
- arxivId = {2106.15212}
-}
-
-@unpublished{VermaCounterfactualReview,
- title = {{Counterfactual Explanations for Machine Learning: A Review}},
- author = {Verma, Sahil and Dickerson, John and Hines, Keegan},
- arxivId = {2010.10596}
-}
-
-@inproceedings{DaiCounterfactualXai,
- title = {{Counterfactual Explanations for Prediction and Diagnosis in Xai}},
- author = {Dai, Xinyue and Keane, Mark T and Shalloo, Laurence and Ruelle, Elodie and Byrne, Ruth M J},
- pages = {215--226}
-}
-
-@article{WachterCounterfactualGDPR,
- title = {{Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR}},
- author = {Wachter, Sandra and Mittelstadt, Brent and Russell, Chris},
- pages = {841},
- volume = {31}
-}
-
-@misc{AltmeyerCounterfactualExplanations.JlRecourse,
- title = {{CounterfactualExplanations.Jl - a Julia Package for Counterfactual Explanations and Algorithmic Recourse}},
- author = {Altmeyer, Patrick},
- url = {https://github.com/pat-alt/CounterfactualExplanations.jl}
-}
-
-@misc{AltmeyerCounterfactualExplanations.JlRecourseb,
- title = {{CounterfactualExplanations.Jl - a Julia Package for Counterfactual Explanations and Algorithmic Recourse}},
- author = {Altmeyer, Patrick},
- url = {https://github.com/pat-alt/CounterfactualExplanations.jl}
-}
-
-@book{MorganCounterfactualsInference,
- title = {{Counterfactuals and Causal Inference}},
- author = {Morgan, Stephen L and Winship, Christopher},
- publisher = {Cambridge University Press}
-}
-
-@unpublished{ZhengDagsLearning,
- title = {{Dags with No Tears: Continuous Optimization for Structure Learning}},
- author = {Zheng, Xun and Aragam, Bryon and Ravikumar, Pradeep and Xing, Eric P},
- arxivId = {1803.01422}
-}
-
-@article{BecharaDecidingStrategy,
- title = {{Deciding Advantageously before Knowing the Advantageous Strategy}},
- author = {Bechara, Antoine and Damasio, Hanna and Tranel, Daniel and Damasio, Antonio R},
- number = {5304},
- pages = {1293--1295},
- volume = {275}
-}
-
-@inproceedings{GalDeepData,
- title = {{Deep Bayesian Active Learning with Image Data}},
- booktitle = {International Conference on Machine Learning},
- author = {Gal, Yarin and Islam, Riashat and Ghahramani, Zoubin},
- pages = {1183--1192},
- publisher = {PMLR}
-}
-
-@book{GoodfellowDeepLearning,
- title = {{Deep Learning}},
- author = {Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
- publisher = {MIT Press}
-}
-
-@unpublished{BorisovDeepSurvey,
- title = {{Deep Neural Networks and Tabular Data: A Survey}},
- author = {Borisov, Vadim and Leemann, Tobias and Se{\ss}ler, Kathrin and Haug, Johannes and Pawelczyk, Martin and Kasneci, Gjergji},
- arxivId = {2110.01889}
-}
-
-@article{AltmeyerDeepData,
- title = {{Deep Vector Autoregression for Macroeconomic Data}},
- author = {Altmeyer, Patrick and Agusti, Marc and Vidal-Quadras Costa, Ignacio},
- url = {https://thevoice.bse.eu/wp-content/uploads/2021/07/ds21-project-agusti-et-al.pdf}
-}
-
-@book{AltmeyerDeepvars:Autoregession,
- title = {{Deepvars: Deep Vector Autoregession}},
- author = {Altmeyer, Patrick}
-}
-
-@article{KehoeDefenceMachines,
- title = {{Defence against Adversarial Attacks Using Classical and Quantum-Enhanced Boltzmann Machines}},
- author = {Kehoe, Aidan and Wittek, Peter and Xue, Yanbo and Pozas-Kerstjens, Alejandro}
-}
-
-@misc{GroupDetailedOutbreak,
- title = {{Detailed Epidemiological Data from the COVID-19 Outbreak}},
- author = {Group, Open COVID-19 Data Working}
-}
-
-@inproceedings{DombrowskiDiffeomorphicFlows,
- title = {{Diffeomorphic Explanations with Normalizing Flows}},
- booktitle = {ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models},
- author = {Dombrowski, Ann-Kathrin and Gerken, Jan E and Kessel, Pan}
-}
-
-@unpublished{JeanneretDiffusionExplanations,
- title = {{Diffusion Models for Counterfactual Explanations}},
- author = {Jeanneret, Guillaume and Simon, Lo\"\ic and Jurie, Frédéric},
- arxivId = {2203.15636}
-}
-
-@article{RomerDoesSchwartz,
- title = {{Does Monetary Policy Matter? A New Test in the Spirit of Friedman and Schwartz}},
- author = {Romer, Christina D and Romer, David H},
- pages = {121--170},
- volume = {4}
-}
-
-@article{CarrellDoesAchievement,
- title = {{Does Your Cohort Matter? Measuring Peer Effects in College Achievement}},
- author = {Carrell, Scott E and Fullerton, Richard L and West, James E},
- number = {3},
- pages = {439--464},
- volume = {27}
-}
-
-@inproceedings{GalDropoutLearning,
- title = {{Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning}},
- booktitle = {International Conference on Machine Learning},
- author = {Gal, Yarin and Ghahramani, Zoubin},
- pages = {1050--1059},
- publisher = {PMLR}
-}
-
-@article{SrivastavaDropout:Overfitting,
- title = {{Dropout: A Simple Way to Prevent Neural Networks from Overfitting}},
- author = {Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
- number = {1},
- pages = {1929--1958},
- volume = {15}
-}
-
-@article{FangDynamicEvidence,
- title = {{Dynamic Inefficiencies in an Employment-Based Health Insurance System: Theory and Evidence}},
- author = {Fang, Hanming and Gavazza, Alessandro},
- number = {7},
- pages = {3047--3077},
- volume = {101}
-}
-
-@article{GreeneEconometric71e,
- title = {{Econometric Analysis, 71e}},
- author = {Greene, William H}
-}
-
-@article{LucasEconometricHolland,
- title = {{Econometric Policy Evaluation: A Critique `, in K. Brunner and A Meltzer, The Phillips Curve and Labor Markets, North Holland}},
- author = {Lucas, J R}
-}
-
-@book{PerryEconomicAfter,
- title = {{Economic Events, Ideas, and Policies: The 1960s and After}},
- author = {Perry, George L and Tobin, James},
- publisher = {Brookings Institution Press}
-}
-
-@article{GretherEconomicPhenomenon,
- title = {{Economic Theory of Choice and the Preference Reversal Phenomenon}},
- author = {Grether, David M and Plott, Charles R},
- number = {4},
- pages = {623--638},
- volume = {69}
-}
-
-@article{VanBovenEgocentricEffect.,
- title = {{Egocentric Empathy Gaps between Owners and Buyers: Misperceptions of the Endowment Effect.}},
- author = {Van Boven, Leaf and Dunning, David and Loewenstein, George},
- number = {1},
- pages = {66},
- volume = {79}
-}
-
-@inproceedings{AltmeyerEndogenousRecourse,
- title = {{Endogenous Macrodynamics in Algorithmic Recourse}},
- booktitle = {First IEEE Conference on Secure and Trustworthy Machine Learning},
- author = {Altmeyer, Patrick and Angela, Giovan and Buszydlik, Aleksander and Dobiczek, Karol and van Deursen, Arie and Liem, Cynthia}
-}
-
-@article{XuEpidemiologicalInformation,
- title = {{Epidemiological Data from the COVID-19 Outbreak, Real-Time Case Information}},
- author = {Xu, Bo and Gutierrez, Bernardo and Mekaru, Sumiko and Sewalk, Kara and Goodwin, Lauren and Loskill, Alyssa and Cohn, Emily and Hswen, Yulin and Hill, Sarah C and Cobo, Maria M and Zarebski, Alexander and Li, Sabrina and Wu, Chieh-Hsi and Hulland, Erin and Morgan, Julia and Wang, Lin and O'Brien, Katelynn and Scarpino, Samuel V and Brownstein, John S and Pybus, Oliver G and Pigott, David M and Kraemer, Moritz U G},
- number = {106},
- volume = {7},
- doi = {doi.org/10.1038/s41597-020-0448-0}
-}
-
-@article{QuEstimatingMatrix,
- title = {{Estimating a Spatial Autoregressive Model with an Endogenous Spatial Weight Matrix}},
- author = {Qu, Xi and Lee, Lung-fei},
- number = {2},
- pages = {209--232},
- volume = {184}
-}
-
-@article{JohnssonEstimationApproach,
- title = {{Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach}},
- author = {Johnsson, Ida and Moon, Hyungsik Roger},
- number = {2},
- pages = {328--345},
- volume = {103}
-}
-
-@inproceedings{NelsonEvaluatingAlgorithms,
- title = {{Evaluating Model Drift in Machine Learning Algorithms}},
- booktitle = {2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA)},
- author = {Nelson, Kevin and Corbin, George and Anania, Mark and Kovacs, Matthew and Tobias, Jeremy and Blowers, Misty},
- pages = {1--8},
- publisher = {IEEE}
-}
-
-@article{KahnemanExperimentalTheorem,
- title = {{Experimental Tests of the Endowment Effect and the Coase Theorem}},
- author = {Kahneman, Daniel and Knetsch, Jack L and Thaler, Richard H},
- number = {6},
- pages = {1325--1348},
- volume = {98}
-}
-
-@article{ArrietaExplainableAI,
- title = {{Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI}},
- author = {Arrieta, Alejandro Barredo and Diaz-Rodriguez, Natalia and Del Ser, Javier and Bennetot, Adrien and Tabik, Siham and Barbado, Alberto and Garcia, Salvador and Gil-Lopez, Sergio and Molina, Daniel and Benjamins, Richard and {others}},
- pages = {82--115},
- volume = {58}
-}
-
-@article{CascarinoExplainableLearning,
- title = {{Explainable Artificial Intelligence: Interpreting Default Forecasting Models Based on Machine Learning}},
- author = {Cascarino, Giuseppe and Moscatelli, Mirko and Parlapiano, Fabio},
- number = {674}
-}
-
-@unpublished{GoodfellowExplainingExamples,
- title = {{Explaining and Harnessing Adversarial Examples}},
- author = {Goodfellow, Ian J and Shlens, Jonathon and Szegedy, Christian},
- arxivId = {1412.6572}
-}
-
-@inproceedings{MittelstadtExplainingAI,
- title = {{Explaining Explanations in AI}},
- booktitle = {Proceedings of the Conference on Fairness, Accountability, and Transparency},
- author = {Mittelstadt, Brent and Russell, Chris and Wachter, Sandra},
- pages = {279--288}
-}
-
-@inproceedings{MothilalExplainingExplanations,
- title = {{Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations}},
- booktitle = {Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency},
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\ No newline at end of file
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