What do we need to build explainable AI systems for the medical domain?

28 December 2017

Papers citing "What do we need to build explainable AI systems for the medical domain?"

36 / 36 papers shown

Title
ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in Heart Disease Diagnosis Xu Wang Jiaju Kang Puyu Han Yubao Zhao Qian Liu Liwenfei He Lingqiong Zhang Lingyun Dai Yongcheng Wang Jie Tao LM&MA 81 1 0 16 Feb 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 46 0 0 12 Jan 2025
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 69 67 0 15 Aug 2020
Human Activity Recognition using Recurrent Neural Networks Deepika Singh Erinc Merdivan I. Psychoula J. Kropf S. Hanke Matthieu Geist Andreas Holzinger BDL HAI 24 148 0 19 Apr 2018
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology Andreas Holzinger Bernd Malle Peter Kieseberg P. Roth Heimo Muller Robert Reihs K. Zatloukal 23 91 0 18 Dec 2017
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences Tim Miller Piers Howe L. Sonenberg AI4TS SyDa 29 373 0 02 Dec 2017
One pixel attack for fooling deep neural networks Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 88 2,311 0 24 Oct 2017
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives Derek Doran Sarah Schulz Tarek R. Besold XAI 49 438 0 02 Oct 2017
Deep Residual Networks and Weight Initialization Masato Taki ODL 24 24 0 09 Sep 2017
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop Andreas Holzinger M. Plass K. Holzinger G. Crişan Camelia-M. Pintea Vasile Palade 38 92 0 03 Aug 2017
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation Daniel Cer Mona T. Diab Eneko Agirre I. Lopez-Gazpio Lucia Specia 124 1,870 0 31 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 253 2,248 0 24 Jun 2017
Deep Learning is Robust to Massive Label Noise David Rolnick Andreas Veit Serge J. Belongie Nir Shavit NoLa 51 553 0 30 May 2017
Deep Learning for Ontology Reasoning Patrick Hohenecker Thomas Lukasiewicz LRM BDL 31 33 0 29 May 2017
Cross-modal Deep Metric Learning with Multi-task Regularization Xin Huang Yuxin Peng 27 16 0 21 Mar 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 276 3,187 0 02 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 401 10,281 0 16 Nov 2016
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 57 835 0 16 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 78 3,672 0 10 Jun 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 49 690 0 30 May 2016
Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose Seyoung Park Xiaohan Nie Song-Chun Zhu CVBM 35 18 0 06 May 2016
Generating Visual Explanations Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell VLM FAtt 56 620 0 28 Mar 2016
Ultradense Word Embeddings by Orthogonal Transformation S. Rothe Sebastian Ebert Hinrich Schütze 37 113 0 24 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 338 16,765 0 16 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 350 2,563 0 25 Jan 2016
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model Benjamin Letham Cynthia Rudin Tyler H. McCormick D. Madigan FAtt 43 743 0 05 Nov 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 115 3,261 0 05 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 650 99,991 0 04 Sep 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 132 16,311 0 30 Apr 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 163 15,825 0 12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 174 26,091 0 11 Nov 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 227 33,445 0 16 Oct 2013
A Sound and Complete Algorithm for Learning Causal Models from Relational Data Marc E. Maier Katerina Marazopoulou David Arbour David D. Jensen CML 41 57 0 26 Sep 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 494 31,406 0 16 Jan 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 123 12,384 0 24 Jun 2012
From Machine Learning to Machine Reasoning Léon Bottou LRM ReLM NAI 51 284 0 09 Feb 2011