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references.bib
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@BOOK{book1,
title = {Title of the book with some {Upper Case LETTERS}},
author = {Surname1, Name1 and Surname2, Name2 and Surname3, Name3},
publisher = {Book publisher},
edition = {1st},
year = {2021}
}
@ARTICLE{article1,
title = {Title of the article},
author = {Surname4, Name4 and Surname5, Name5 and Surname6, Name6},
journal = {Journal's name},
volume = {1},
number = {2},
pages = {3--5},
year = {2021}
}
@INPROCEEDINGS{conference1,
title = {Title of the conference},
author = {Surname7, Name7 and Surname8, Name8 and Surname9, Name9},
booktitle = {Proceedings of the conference's name},
month = {Feb.},
year = {2021},
address = {city, state}
}
@ONLINE{online1,
author = {{Author of the resource}},
title = {Title of the resource},
url = {https://unipd.it},
addendum = {(accessed: 16.02.2021)}
}
@article{lipton2017mythos,
author = {Lipton, Zachary},
year = {2016},
month = {Oct.},
pages = {},
title = {The Mythos of Model Interpretability},
volume = {61},
journal = {Communications of the ACM},
doi = {10.1145/3233231}
}
@article{montavon2018methods,
title = {Methods for interpreting and understanding deep neural networks},
journal = {Digital Signal Processing},
volume = {73},
pages = {1-15},
year = {2018},
author = {Grégoire Montavon and Wojciech Samek and Klaus-Robert Müller},
}
@inproceedings{gilpin2018explaining,
author = {Gilpin, Leilani and Bau, David and Yuan, Ben and Bajwa, Ayesha and Specter, Michael and Kagal, Lalana},
year = {2018},
month = {Oct.},
pages = {80-89},
title = {Explaining Explanations: An Overview of Interpretability of Machine Learning},
doi = {10.1109/DSAA.2018.00018}
}
@INPROCEEDINGS{dosilovic2018explainable, author={Došilović, Filip Karlo and Brčić, Mario and Hlupić, Nikica}, booktitle={2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)}, title={Explainable artificial intelligence: A survey}, year={2018}, volume={}, number={}, pages={0210-0215}}
@online{doshivelez2017rigorous,
title={Towards A Rigorous Science of Interpretable Machine Learning},
author={Finale Doshi-Velez and Been Kim},
year={2017},
url={https://arxiv.org/abs/1702.08608}
}
@INPROCEEDINGS{daniele2019kenn,
author={Daniele, Alessandro and Serafini, Luciano},
title={Knowledge Enhanced Neural Networks},
booktitle={PRICAI 2019: Trends in Artificial Intelligence},
year={2019},
publisher={Springer International Publishing},
address={Cham},
pages={542--554},
}
@ARTICLE{burkart2021survey,
author = {Burkart, Nadia and Huber, Marco},
year = {2021},
month = {Jan.},
pages = {},
title = {A Survey on the Explainability of Supervised Machine Learning},
volume = {70},
journal = {Journal of Artificial Intelligence Research},
doi = {10.1613/jair.1.12228}
}
@article{marcus2018appraisal,
title={Deep learning: A critical appraisal},
author={Marcus, Gary},
journal={arXiv preprint arXiv:1801.00631},
year={2018}
}
@article{szegedy2013intriguing,
author = {Szegedy, Christian and Zaremba, Wojciech and Sutskever, Ilya and Bruna, Joan and Erhan, Dumitru and Goodfellow, Ian and Fergus, Rob},
year = {2013},
month = {Dec.},
pages = {},
title = {Intriguing properties of neural networks}
}
@inproceedings{bolukbasi2016debiasing,
author = {Bolukbasi, Tolga and Chang, Kai-Wei and Zou, James and Saligrama, Venkatesh and Kalai, Adam},
title = {Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings},
year = {2016},
isbn = {9781510838819},
publisher = {Curran Associates Inc.},
address = {Red Hook, NY, USA},
booktitle = {Proceedings of the 30th International Conference on Neural Information Processing Systems},
pages = {4356–4364},
numpages = {9},
location = {Barcelona, Spain},
series = {NIPS'16}
}
@online{acm2017transparency,
title={Statement on Algorithmic Transparency and Accountability},
author={ACM},
year={2017},
url={https://www.acm.org/binaries/content/assets/public-policy/2017_usacm_statement_algorithms.pdf}
}
@article{gunning2019xai, title={DARPA’s Explainable Artificial Intelligence (XAI) Program}, volume={40}, url={https://ojs.aaai.org/index.php/aimagazine/article/view/2850}, DOI={10.1609/aimag.v40i2.2850}, number={2}, journal={AI Magazine}, author={Gunning, David and Aha, David}, year={2019}, month={Jun.}, pages={44-58} }
@inproceedings{nguyen2015fooled,
author = {Nguyen, Anh and Yosinski, Jason and Clune, Jeff},
year = {2015},
month = {Jun.},
pages = {427-436},
title = {Deep neural networks are easily fooled: High confidence predictions for unrecognizable images},
journal = {2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
doi = {10.1109/CVPR.2015.7298640}
}
@inproceedings{jia2017adversarial,
author = {Jia, Robin and Liang, Percy},
year = {2017},
month = {Jan.},
pages = {2021-2031},
title = {Adversarial Examples for Evaluating Reading Comprehension Systems},
doi = {10.18653/v1/D17-1215}
}
@BOOK{samek2019xai,
title = {Explainable AI: Interpreting, Explaining and Visualizing Deep Learning},
author = {Samek, Wojciech and Montavon, Grégoire and Vedaldi, Andrea and Lars Kai, Hansen and Müller, Klaus-Robert},
publisher = {Springer},
edition = {1st},
year = {2019}
}
@article{Herman2017ThePA,
title={The Promise and Peril of Human Evaluation for Model Interpretability},
author={Bernease Herman},
journal={ArXiv},
year={2017},
volume={abs/1711.07414}
}
@inproceedings{Kim2015InteractiveAI,
title={Interactive and interpretable machine learning models for human machine collaboration},
author={Been Kim},
year={2015}
}
@inproceedings{ribeiro2016trust,
author = {Ribeiro, Marco and Singh, Sameer and Guestrin, Carlos},
year = {2016},
month = {Feb.},
pages = {97-101},
title = {“Why Should I Trust You?”: Explaining the Predictions of Any Classifier},
doi = {10.18653/v1/N16-3020}
}
@misc{mordvintsev2015inceptionism,
title = {Inceptionism: Going Deeper into Neural Networks},
author = {Alexander Mordvintsev and Christopher Olah and Mike Tyka},
year = {2015},
URL = {https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
}
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@inproceedings{mcauley2013hidden,
author = {McAuley, Julian and Leskovec, Jure},
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year = {2013},
isbn = {9781450324090},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
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doi = {10.1145/2507157.2507163},
booktitle = {Proceedings of the 7th ACM Conference on Recommender Systems},
pages = {165–172},
numpages = {8},
keywords = {recommender systems, topic models},
location = {Hong Kong, China},
series = {RecSys '13}
}
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author = {Laurens van der Maaten and Geoffrey Hinton},
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number = {86},
pages = {2579-2605},
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}
@inproceedings{mahendran2014understanding,
title={Understanding deep image representations by inverting them},
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year={2015}
}
@article{simonyan2013deep,
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}
@InProceedings{wang2016dueling,
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}
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title={Attention is all you need},
author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
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}
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year={2017},
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}
@inproceedings{park2018multimodal,
title={Multimodal explanations: Justifying decisions and pointing to the evidence},
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pages={8779--8788},
year={2018}
}
@article{ross2017right,
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year={2017}
}
@article{serafini2016logic,
title={Logic tensor networks: Deep learning and logical reasoning from data and knowledge},
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year={2016}
}
@article{Besold2017NeuralSymbolicLA,
title={Neural-Symbolic Learning and Reasoning: A Survey and Interpretation},
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journal={ArXiv},
year={2017},
volume={abs/1711.03902}
}
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title={Three problems in computer science},
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}
@article{pereira2012turing,
author = {Pereira, Luís Moniz},
title = "{Turing is among us}",
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}
@article{marra2020relational,
title={Relational neural machines},
author={Marra, Giuseppe and Diligenti, Michelangelo and Giannini, Francesco and Gori, Marco and Maggini, Marco},
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year={2020}
}
@article{sen2008collective,
title={Collective classification in network data},
author={Sen, Prithviraj and Namata, Galileo and Bilgic, Mustafa and Getoor, Lise and Galligher, Brian and Eliassi-Rad, Tina},
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volume={29},
number={3},
pages={93--93},
year={2008}
}
@inproceedings{lu2003link,
title={Link-based text classification},
author={Lu, Qing and Getoor, Lise},
booktitle={IJCAI Workshop on Text Mining and Link Analysis},
year={2003}
}
@article{sabour2017dynamic,
title={Dynamic routing between capsules},
author={Sabour, Sara and Frosst, Nicholas and Hinton, Geoffrey E},
journal={arXiv preprint arXiv:1710.09829},
year={2017}
}
@article{zhang2019generating,
title={Generating textual adversarial examples for deep learning models: A survey},
author={Zhang, Wei Emma and Sheng, Quan Z and Alhazmi, Ahoud Abdulrahmn F and Li, Chenliang},
journal={arXiv preprint arXiv:1901.06796},
pages={129},
year={2019}
}
@article{buckner2020adversarial,
title={Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning},
author={Buckner, Cameron},
journal={arXiv preprint arXiv:2003.11917},
year={2020}
}
@article{goodman2017european,
title={European Union regulations on algorithmic decision-making and a “right to explanation”},
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}
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title={On what we know we don't know: Explanation, theory, linguistics, and how questions shape them},
author={Bromberger, Sylvain},
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}
@INPROCEEDINGS{chen2019judicial, author={Chen, Baogui and Li, Yu and Zhang, Shu and Lian, Hao and He, Tieke}, booktitle={2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C)}, title={A Deep Learning Method for Judicial Decision Support}, year={2019}, volume={}, number={}, pages={145-149}, doi={10.1109/QRS-C.2019.00040}}
@article{zhang2018explainable,
title={Explainable recommendation: A survey and new perspectives},
author={Zhang, Yongfeng and Chen, Xu},
journal={arXiv preprint arXiv:1804.11192},
year={2018}
}
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title={Bert: Pre-training of deep bidirectional transformers for language understanding},
author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
journal={arXiv preprint arXiv:1810.04805},
year={2018}
}
@article{dosovitskiy2020image,
title={An image is worth 16x16 words: Transformers for image recognition at scale},
author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
journal={arXiv preprint arXiv:2010.11929},
year={2020}
}
@inproceedings{abadi2016tensorflow,
title={Tensorflow: A system for large-scale machine learning},
author={Abadi, Mart{\'\i}n and Barham, Paul and Chen, Jianmin and Chen, Zhifeng and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Irving, Geoffrey and Isard, Michael and others},
booktitle={12th $\{$USENIX$\}$ symposium on operating systems design and implementation ($\{$OSDI$\}$ 16)},
pages={265--283},
year={2016}
}
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title={Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy},
author={O'Neil, C.},
isbn={9780553418835},
year={2016},
publisher={Crown}
}
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title={Using deep learning and google street view to estimate the demographic makeup of the us},
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year={2017}
}
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title={Markov logic networks},
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}
@book{pearl2014probabilistic,
title={Probabilistic reasoning in intelligent systems: networks of plausible inference},
author={Pearl, Judea},
year={2014},
publisher={Elsevier}
}