Explaining image classifiers using statistical fault localization

Explaining image classifiers using statistical fault localization

The black-box nature of deep neural networks (DNNs) makes it impossible to understand why a particular output is produced, creating demand for “Explainable AI”. In this paper, we show that statistical fault localization (SFL) techniques from software engineering deliver high quality explanations of...

Bibliografiset tiedot
Päätekijät:	Sun, Y, Chockler, H, Huang, X, Kroening, D
Aineistotyyppi:	Conference item
Kieli:	English
Julkaistu:	Springer 2020

Samankaltaisia teoksia

Probabilistic fault localisation
Tekijä: Landsberg, D, et al.
Julkaistu: (2016)

Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI)
Tekijä: Molika Meas, et al.
Julkaistu: (2022-08-01)

Coverage in interpolation-based model checking
Tekijä: Chockler, H, et al.
Julkaistu: (2010)

Computing mutation coverage in interpolation-based model checking
Tekijä: Chockler, H, et al.
Julkaistu: (2012)

Optimising spectrum based fault localisation for single fault programs using specifications
Tekijä: Landsberg, D, et al.
Julkaistu: (2018)

Dependable modulation classifier explainer with measurable explainability
Tekijä: Gaurav Duggal, et al.
Julkaistu: (2023-01-01)

Understanding Counterexamples with explain
Tekijä: Groce, A, et al.
Julkaistu: (2004)

Explaining psychological statistics /
Tekijä: 218193 Cohen, Barry H.
Julkaistu: (2008)

Statistics explained /
Tekijä: 368444 Hinton, Perry R. (Perry Roy), 1954-
Julkaistu: (2004)

Explaining a deep learning based breast ultrasound image classifier with saliency maps
Tekijä: Byra Michał, et al.
Julkaistu: (2022-04-01)

Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis
Tekijä: Mohammad Hasan, et al.
Julkaistu: (2024-09-01)

Cancer prediction using graph-based gene selection and explainable classifier
Tekijä: Mehrdad Rostami, et al.
Julkaistu: (2022-04-01)

Classifying Faults Locations in Cable Terminations and Investigation of the Faults Reasons
Tekijä: V. Abbasi
Julkaistu: (2018-09-01)

On the statistical assessment of classifiers using DNA microarray data
Tekijä: Carella M, et al.
Julkaistu: (2006-08-01)

Explainable Deep Learning to Classify Royal Navy Ships
Tekijä: Bart Baesens, et al.
Julkaistu: (2024-01-01)

The Use of Drone Photo Material to Classify the Purity of Photovoltaic Panels Based on Statistical Classifiers
Tekijä: Tomasz Czarnecki, et al.
Julkaistu: (2022-01-01)

An Explainable Deep Learning Approach for Classifying Monkeypox Disease by Leveraging Skin Lesion Image Data
Tekijä: Andino Maseleno, et al.
Julkaistu: (2024-10-01)

Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT images
Tekijä: Robert O’Shea, et al.
Julkaistu: (2023-11-01)

Interpretation of microbiota-based diagnostics by explaining individual classifier decisions
Tekijä: A. Eck, et al.
Julkaistu: (2017-10-01)

Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis
Tekijä: Yusuf Brima, et al.
Julkaistu: (2024-06-01)

Improving Electrical Fault Detection Using Multiple Classifier Systems
Tekijä: José Oliveira, et al.
Julkaistu: (2024-11-01)

Fault diagnosis of photovoltaic strings by using machine learning‐based stacking classifier
Tekijä: Bo Liu, et al.
Julkaistu: (2024-02-01)

Localizing genes to cerebellar layers by classifying ISH images.
Tekijä: Lior Kirsch, et al.
Julkaistu: (2012-01-01)

CLASSIFYING BENIGN AND MALIGNANT MASSES USING STATISTICAL MEASURES
Tekijä: B. Surendiran, et al.
Julkaistu: (2011-11-01)

EXPLAINING A DEEP SPATIOTEMPORAL LAND COVER CLASSIFIER WITH ATTENTION AND REDESCRIPTION MINING
Tekijä: N. Méger, et al.
Julkaistu: (2022-05-01)

Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding
Tekijä: Xiang Wang, et al.
Julkaistu: (2015-07-01)

Fault Identification of Rotor System Based on Classifying Time-Frequency Image Feature Tensor
Tekijä: Hui Li, et al.
Julkaistu: (2017-01-01)

A fuzzy classifier system for fault tolerance
Tekijä: Mariela Cerrada, et al.
Julkaistu: (2010-12-01)

Localization genus of classifying spaces
Tekijä: Yau, Donald Y. (Donald Ying Wai), 1977-
Julkaistu: (2005)

Classifying Coding DNA with Nucleotide Statistics
Tekijä: Nicolas Carels, et al.
Julkaistu: (2009-01-01)

Classifying Coding DNA with Nucleotide Statistics
Tekijä: Nicolas Carels, et al.
Julkaistu: (2009-10-01)

Methodology for the Detection of Contamination and Gradual Outer Race Faults in Bearings by Fusion of Statistical Vibration–Current Features and SVM Classifier
Tekijä: Geovanni Díaz-Saldaña, et al.
Julkaistu: (2024-06-01)

Exposing previously undetectable faults in deep neural networks
Tekijä: Dunn, I, et al.
Julkaistu: (2021)

Multi-Fault Detection and Classification of Wind Turbines Using Stacking Classifier
Tekijä: Prince Waqas Khan, et al.
Julkaistu: (2022-09-01)

Classification of Faults Operation of a Robotic Manipulator Using Symbolic Classifier
Tekijä: Nikola Anđelić, et al.
Julkaistu: (2023-02-01)

Intelligent Classifiers in Distinguishing Transformer Faults Using Frequency Response Analysis
Tekijä: Mehdi Bigdeli, et al.
Julkaistu: (2021-01-01)

Rock and fault rheology explain differences between on fault and distributed seismicity
Tekijä: C. Collettini, et al.
Julkaistu: (2022-09-01)

Classifying blinking and winking EOG signals using statistical analysis and LSTM algorithm
Tekijä: Ahmed M. D. E. Hassanein, et al.
Julkaistu: (2023-09-01)

Classification of electroencephalography signal using statistical features and regression classifier /
Tekijä: Nurbaity Sabri, 1985- author, et al.
Julkaistu: (2014)

Model and Training Method of the Resilient Image Classifier Considering Faults, Concept Drift, and Adversarial Attacks
Tekijä: Viacheslav Moskalenko, et al.
Julkaistu: (2022-10-01)