On the public citation graph

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

https://doi.org/10.1145/3644073
0 signed · 229 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ail2.44openalex-snapshot
Remembering for the right reasons: Explanations reduce catastrophic forgetting
inferredcites →https://doi.org/10.1002/mp.16937openalex-snapshot
Robust explanation supervision for false positive reduction in pulmonary nodule detection
inferredcites →https://doi.org/10.1002/widm.1356openalex-snapshot
Bias in data‐driven artificial intelligence systems—An introductory survey
inferredcites →https://doi.org/10.1007/978-3-030-01219-9_47openalex-snapshot
Women Also Snowboard: Overcoming Bias in Captioning Models
inferredcites →https://doi.org/10.1007/978-3-030-28954-6_10openalex-snapshot
Layer-Wise Relevance Propagation: An Overview
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_6openalex-snapshot
AiR: Attention with Reasoning Capability
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/s10115-020-01517-5openalex-snapshot
Learning credible DNNs via incorporating prior knowledge and model local explanation
inferredcites →https://doi.org/10.1007/s10618-023-00920-0openalex-snapshot
Reflective-net: learning from explanations
inferredcites →https://doi.org/10.1007/s11634-020-00419-2openalex-snapshot
Editable machine learning models? A rule-based framework for user studies of explainability
inferredcites →https://doi.org/10.1007/s12650-018-0531-1openalex-snapshot
Recent research advances on interactive machine learning
inferredcites →https://doi.org/10.1007/s13222-020-00351-xopenalex-snapshot
Towards Understanding and Arguing with Classifiers: Recent Progress
inferredcites →https://doi.org/10.1007/s41095-020-0191-7openalex-snapshot
A survey of visual analytics techniques for machine learning
inferredcites →https://doi.org/10.1016/j.dsp.2017.10.011openalex-snapshot
Methods for interpreting and understanding deep neural networks
inferredcites →https://doi.org/10.1016/j.inffus.2019.12.012openalex-snapshot
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
inferredcites →https://doi.org/10.1016/j.neunet.2019.01.012openalex-snapshot
Continual lifelong learning with neural networks: A review
inferredcites →https://doi.org/10.1016/j.neunet.2021.08.011openalex-snapshot
Schematic memory persistence and transience for efficient and robust continual learning
inferredcites →https://doi.org/10.1016/j.patcog.2016.11.008openalex-snapshot
Explaining nonlinear classification decisions with deep Taylor decomposition
inferredcites →https://doi.org/10.1016/j.toxlet.2017.07.175openalex-snapshot
DeepTox: Toxicity prediction using deep learning
inferredcites →https://doi.org/10.1021/acs.jcim.6b00290openalex-snapshot
Computational Modeling of β-Secretase 1 (BACE-1) Inhibitors Using Ligand Based Approaches
inferredcites →https://doi.org/10.1021/ci300124copenalex-snapshot
A Bayesian Approach to in Silico Blood-Brain Barrier Penetration Modeling
inferredcites →https://doi.org/10.1038/ng.3259openalex-snapshot
Understanding multicellular function and disease with human tissue-specific networks
inferredcites →https://doi.org/10.1038/s42256-020-0212-3openalex-snapshot
Making deep neural networks right for the right scientific reasons by interacting with their explanations
inferredcites →https://doi.org/10.1038/s42256-021-00343-wopenalex-snapshot
Improving performance of deep learning models with axiomatic attribution priors and expected gradients
inferredcites →https://doi.org/10.1039/c7sc02664aopenalex-snapshot
MoleculeNet: a benchmark for molecular machine learning
inferredcites →https://doi.org/10.1093/ajcn/26.9.1032openalex-snapshot
Plan and operation of the Health and Nutrition Examination Survey, United States, 1971–1973
inferredcites →https://doi.org/10.1097/corr.0000000000001318openalex-snapshot
Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/72.572104openalex-snapshot
Neural-network feature selector
inferredcites →https://doi.org/10.1109/access.2018.2870052openalex-snapshot
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
inferredcites →https://doi.org/10.1109/access.2020.2976199openalex-snapshot
Explainable Machine Learning for Scientific Insights and Discoveries
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2016.501openalex-snapshot
MovieQA: Understanding Stories in Movies through Question-Answering
inferredcites →https://doi.org/10.1109/cvpr.2017.215openalex-snapshot
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
inferredcites →https://doi.org/10.1109/cvpr.2017.354openalex-snapshot
Network Dissection: Quantifying Interpretability of Deep Visual Representations
inferredcites →https://doi.org/10.1109/cvpr.2017.369openalex-snapshot
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
inferredcites →https://doi.org/10.1109/cvpr.2017.670openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00522openalex-snapshot
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00915openalex-snapshot
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
inferredcites →https://doi.org/10.1109/cvpr.2018.00960openalex-snapshot
Tell Me Where to Look: Guided Attention Inference Network
inferredcites →https://doi.org/10.1109/cvpr.2019.00222openalex-snapshot
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images
inferredcites →https://doi.org/10.1109/cvpr.2019.00686openalex-snapshot
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2019.00688openalex-snapshot
From Recognition to Cognition: Visual Commonsense Reasoning
inferredcites →https://doi.org/10.1109/cvpr.2019.00980openalex-snapshot
REPAIR: Removing Representation Bias by Dataset Resampling
inferredcites →https://doi.org/10.1109/cvpr.2019.01096openalex-snapshot
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00559openalex-snapshot
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00362openalex-snapshot
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00545openalex-snapshot
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2015.279openalex-snapshot
VQA: Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2017.201openalex-snapshot
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/iccv48922.2021.00128openalex-snapshot
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
inferredcites →https://doi.org/10.1109/iccv51070.2023.00189openalex-snapshot
MAGI: Multi-Annotated Explanation-Guided Learning
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/icdm51629.2021.00023openalex-snapshot
GNES: Learning to Explain Graph Neural Networks
inferredcites →https://doi.org/10.1109/isbi.2018.8363547openalex-snapshot
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
inferredcites →https://doi.org/10.1109/mfi49285.2020.9235209openalex-snapshot
Batch-wise Regularization of Deep Neural Networks for Interpretability
inferredcites →https://doi.org/10.1109/mis.2020.3000681openalex-snapshot
Fairness in Deep Learning: A Computational Perspective
inferredcites →https://doi.org/10.1109/pacificvis48177.2020.7090openalex-snapshot
ExplainExplore: Visual Exploration of Machine Learning Explanations
inferredcites →https://doi.org/10.1109/tnnls.2020.3027314openalex-snapshot
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
inferredcites →https://doi.org/10.1109/tnnls.2021.3084827openalex-snapshot
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
inferredcites →https://doi.org/10.1109/tpami.2017.2723009openalex-snapshot
Places: A 10 Million Image Database for Scene Recognition
inferredcites →https://doi.org/10.1109/tvcg.2019.2934619openalex-snapshot
The What-If Tool: Interactive Probing of Machine Learning Models
inferredcites →https://doi.org/10.1109/wacv.2019.00043openalex-snapshot
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining
inferredcites →https://doi.org/10.1109/wacv56688.2023.00524openalex-snapshot
Saliency Guided Experience Packing for Replay in Continual Learning
inferredcites →https://doi.org/10.1111/1467-8659.00652openalex-snapshot
COMPUTER GRAPHICS forum
inferredcites →https://doi.org/10.1118/1.3528204openalex-snapshot
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
inferredcites →https://doi.org/10.1137/1.9781611977653.ch28openalex-snapshot
Saliency-Augmented Memory Completion for Continual Learning
inferredcites →https://doi.org/10.1137/1.9781611978032openalex-snapshot
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)
inferredcites →https://doi.org/10.1145/2678025.2701399openalex-snapshot
Principles of Explanatory Debugging to Personalize Interactive Machine Learning
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3185517openalex-snapshot
A Review of User Interface Design for Interactive Machine Learning
inferredcites →https://doi.org/10.1145/3236009openalex-snapshot
A Survey of Methods for Explaining Black Box Models
inferredcites →https://doi.org/10.1145/3301275.3302324openalex-snapshot
Towards human-guided machine learning
inferredcites →https://doi.org/10.1145/3306618.3314293openalex-snapshot
Explanatory Interactive Machine Learning
inferredcites →https://doi.org/10.1145/3361118openalex-snapshot
How Data ScientistsWork Together With Domain Experts in Scientific Collaborations
inferredcites →https://doi.org/10.1145/3387166openalex-snapshot
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
inferredcites →https://doi.org/10.1145/3392878openalex-snapshot
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
inferredcites →https://doi.org/10.1145/3437963.3441758openalex-snapshot
Explain and Predict, and then Predict Again
inferredcites →https://doi.org/10.1145/3457607openalex-snapshot
A Survey on Bias and Fairness in Machine Learning
inferredcites →https://doi.org/10.1145/3534678.3539419openalex-snapshot
RES: A Robust Framework for Guiding Visual Explanation
inferredcites →https://doi.org/10.1145/3555590openalex-snapshot
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
inferredcites →https://doi.org/10.1145/3580305openalex-snapshot
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1145/3580305.3599336openalex-snapshot
ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation
inferredcites →https://doi.org/10.1145/3610187openalex-snapshot
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations
inferredcites →https://doi.org/10.1145/3616865openalex-snapshot
Fairness in Machine Learning: A Survey
inferredcites →https://doi.org/10.1145/3711896.3737414openalex-snapshot
Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations
inferredcites →https://doi.org/10.1145/604045.604056openalex-snapshot
Interactive machine learning
inferredcites →https://doi.org/10.1147/jrd.2019.2942287openalex-snapshot
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
inferredcites →https://doi.org/10.1162/tacl_a_00440openalex-snapshot
Explanation-Based Human Debugging of NLP Models: A Survey
inferredcites →https://doi.org/10.1371/journal.pone.0130140openalex-snapshot
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
inferredcites →https://doi.org/10.1609/aaai.v32i1.11504openalex-snapshot
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients
inferredcites →https://doi.org/10.1609/aaai.v32i1.12272openalex-snapshot
Exploring Human-Like Attention Supervision in Visual Question Answering
inferredcites →https://doi.org/10.1609/aaai.v34i04.6112openalex-snapshot
Regional Tree Regularization for Interpretability in Deep Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i07.6858openalex-snapshot
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
inferredcites →https://doi.org/10.1609/aaai.v35i3.16344openalex-snapshot
Explainable Models with Consistent Interpretations
inferredcites →https://doi.org/10.1609/aaai.v35i7.16734openalex-snapshot
MARTA: Leveraging Human Rationales for Explainable Text Classification
inferredcites →https://doi.org/10.1609/aaai.v35i7.16737openalex-snapshot
User Driven Model Adjustment via Boolean Rule Explanations
inferredcites →https://doi.org/10.1609/aaai.v36i10.21287openalex-snapshot
Diagnostics-Guided Explanation Generation
inferredcites →https://doi.org/10.1609/aaai.v36i10.21386openalex-snapshot
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
inferredcites →https://doi.org/10.1613/jair.1.12228openalex-snapshot
A Survey on the Explainability of Supervised Machine Learning
inferredcites →https://doi.org/10.1631/fitee.1700808openalex-snapshot
Visual interpretability for deep learning: a survey
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.408openalex-snapshot
ERASER: A Benchmark to Evaluate Rationalized NLP Models
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.409openalex-snapshot
Learning to Faithfully Rationalize by Construction
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.704openalex-snapshot
BLEURT: Learning Robust Metrics for Text Generation
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-mainopenalex-snapshot
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.543openalex-snapshot
Less is More: Attention Supervision with Counterfactuals for Text Classification
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.97openalex-snapshot
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.415openalex-snapshot
Learning to Explain: Generating Stable Explanations Fast
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.645openalex-snapshot
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.804openalex-snapshot
Measuring Association Between Labels and Free-Text Rationales
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.374openalex-snapshot
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-mainopenalex-snapshot
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.158openalex-snapshot
On the Diversity and Limits of Human Explanations
inferredcites →https://doi.org/10.18653/v1/2023.findings-aclopenalex-snapshot
Findings of the Association for Computational Linguistics: ACL 2023
inferredcites →https://doi.org/10.18653/v1/d16-1011openalex-snapshot
Rationalizing Neural Predictions
inferredcites →https://doi.org/10.18653/v1/d16-1076openalex-snapshot
Rationale-Augmented Convolutional Neural Networks for Text Classification
inferredcites →https://doi.org/10.18653/v1/d16-1092openalex-snapshot
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?
inferredcites →https://doi.org/10.18653/v1/d17-1323openalex-snapshot
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
inferredcites →https://doi.org/10.18653/v1/d18-1216openalex-snapshot
Deriving Machine Attention from Human Rationales
inferredcites →https://doi.org/10.18653/v1/n18-1074openalex-snapshot
FEVER: a Large-scale Dataset for Fact Extraction and VERification
inferredcites →https://doi.org/10.18653/v1/n18-1097openalex-snapshot
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification
inferredcites →https://doi.org/10.18653/v1/p19-1openalex-snapshot
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/p19-1282openalex-snapshot
Is Attention Interpretable?
inferredcites →https://doi.org/10.18653/v1/p19-1393openalex-snapshot
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation
inferredcites →https://doi.org/10.18653/v1/p19-1487openalex-snapshot
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
inferredcites →https://doi.org/10.18653/v1/p19-1631openalex-snapshot
Incorporating Priors with Feature Attribution on Text Classification
inferredcites →https://doi.org/10.21227/h25w98openalex-snapshot
Indian Diabetic Retinopathy Image Dataset (IDRiD)
inferredcites →https://doi.org/10.2174/156720512801322573openalex-snapshot
Overview and Findings from the Religious Orders Study
inferredcites →https://doi.org/10.24963/ijcai.2017/371openalex-snapshot
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
inferredcites →https://doi.org/10.24963/ijcai.2020/688openalex-snapshot
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
inferredcites →https://doi.org/10.26434/chemrxiv-2022-96slqopenalex-snapshot
Ground truth explanation dataset for chemical property prediction on molecular graphs
inferredcites →https://doi.org/10.3115/1613715openalex-snapshot
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08
inferredcites →https://doi.org/10.3115/1613715.1613721openalex-snapshot
Modeling annotators
inferredcites →https://doi.org/10.3115/v1/n15-1047openalex-snapshot
Active Learning with Rationales for Text Classification
inferredcites →https://doi.org/10.3389/fenvs.2015.00080openalex-snapshot
DeepTox: Toxicity Prediction using Deep Learning
inferredcites →https://doi.org/10.3390/e23010018openalex-snapshot
Explainable AI: A Review of Machine Learning Interpretability Methods
inferredcites →https://doi.org/10.3390/electronics10050593openalex-snapshot
Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics
inferredcites →https://doi.org/10.48550/arxiv.1708.07747openalex-snapshot
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1806.07538openalex-snapshot
Towards Robust Interpretability with Self-Explaining Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1812.01193openalex-snapshot
e-SNLI: Natural Language Inference with Natural Language Explanations
inferredcites →https://doi.org/10.48550/arxiv.1812.04608openalex-snapshot
Metrics for Explainable AI: Challenges and Prospects
inferredcites →https://doi.org/10.48550/arxiv.1902.06787openalex-snapshot
Regularizing Black-box Models for Improved Interpretability
inferredcites →https://doi.org/10.48550/arxiv.1904.07478openalex-snapshot
GradMask: Reduce Overfitting by Regularizing Saliency
inferredcites →https://doi.org/10.48550/arxiv.1905.09998openalex-snapshot
Self-Critical Reasoning for Robust Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1908.06870openalex-snapshot
Fine-grained Sentiment Analysis with Faithful Attention
inferredcites →https://doi.org/10.48550/arxiv.1910.12853openalex-snapshot
A Game Theoretic Approach to Class-wise Selective Rationalization
inferredcites →https://doi.org/10.48550/arxiv.1912.10065openalex-snapshot
Learning Deep Attribution Priors Based On Prior Knowledge
inferredcites →https://doi.org/10.48550/arxiv.2002.08247openalex-snapshot
Learning Global Transparent Models Consistent with Local Contrastive Explanations
inferredcites →https://doi.org/10.48550/arxiv.2009.09723openalex-snapshot
Machine Guides, Human Supervises: Interactive Learning with Global Explanations
inferredcites →https://doi.org/10.48550/arxiv.2009.14260openalex-snapshot
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
inferredcites →https://doi.org/10.48550/arxiv.2010.07891openalex-snapshot
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
inferredcites →https://doi.org/10.48550/arxiv.2012.01932openalex-snapshot
Teaching the Machine to Explain Itself using Domain Knowledge
inferredcites →https://doi.org/10.48550/arxiv.2103.10415openalex-snapshot
Refining Language Models with Compositional Explanations
inferredcites →https://doi.org/10.48550/arxiv.2108.10131openalex-snapshot
Improving the trustworthiness of image classification models by utilizing bounding-box annotations
inferredcites →https://doi.org/10.48550/arxiv.2111.14338openalex-snapshot
Improving Deep Learning Interpretability by Saliency Guided Training
inferredcites →https://doi.org/10.5220/0010335806260636openalex-snapshot
Embedding Human Knowledge into Deep Neural Network via Attention Map
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14
inferredcites →https://doi.org/10.7554/elife.31126openalex-snapshot
Neuropathological and transcriptomic characteristics of the aged brain

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/widm.70046openalex-snapshot
XAI ‐Guided Continual Learning: Rationale, Methods, and Future Directions
inferred← citeshttps://doi.org/10.1007/978-3-031-62700-2_14openalex-snapshot
Enhancing Temporal Transformers for Financial Time Series via Local Surrogate Interpretability
inferred← citeshttps://doi.org/10.1007/978-3-031-81821-9_10openalex-snapshot
Explainable Detection and Analysis of Cauliflower Leaf Diseases
inferred← citeshttps://doi.org/10.1007/978-3-032-02003-1_2openalex-snapshot
TrustAI: Designing and Implementing a Trustworthy and User-Centered AI Platform
inferred← citeshttps://doi.org/10.1007/978-3-032-05185-1_41openalex-snapshot
On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-Offs in Medical Imaging
inferred← citeshttps://doi.org/10.1007/978-3-032-08327-2_4openalex-snapshot
Large Language Models as Attribution Regularizers for Efficient Model Training
inferred← citeshttps://doi.org/10.1007/978-3-032-17611-0_4openalex-snapshot
Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
inferred← citeshttps://doi.org/10.1007/978-3-032-29921-5_11openalex-snapshot
Modeling Semantic Ambiguity: A Knowledge-Driven Framework for Security Attack Technique Extraction
inferred← citeshttps://doi.org/10.1007/978-3-032-33865-5_9openalex-snapshot
SSNN-XCBR: A Siamese-Spiking Neural Network Architecture for Audio Case-Based Explanations
inferred← citeshttps://doi.org/10.1007/978-981-92-0071-9_12openalex-snapshot
A Novel Approach to Arrhythmia Classification Using Explanations and Domain Expertise
inferred← citeshttps://doi.org/10.1007/s10462-026-11516-7openalex-snapshot
Methodological challenges in explainable AI for fraud detection: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s10462-026-11564-zopenalex-snapshot
IMPACTX: improving model performance by appropriately constraining the training with teacher explanations
inferred← citeshttps://doi.org/10.1007/s10844-023-00836-7openalex-snapshot
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111406openalex-snapshot
Tiny Large Language Models for IoT networks: Potentials and challenges
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.116149openalex-snapshot
Attention-aligned guided gradient-based class activation mapping for explainable indian sign language recognition
inferred← citeshttps://doi.org/10.1016/j.hcc.2026.100423openalex-snapshot
A comprehensive analysis of explainable AI-driven machine learning techniques for network intrusion detection systems
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102301openalex-snapshot
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123950openalex-snapshot
Multi-objective learning with multi-gradient descent for training sparse and interpretable neural networks
inferred← citeshttps://doi.org/10.1016/j.istruc.2026.112859openalex-snapshot
Enhancing time-frequency representations via gradient-based attention: The GIFT methodology for structural damage detection
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112390openalex-snapshot
OCIE: Augmenting model interpretability via Deconfounded Explanation-Guided Learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113419openalex-snapshot
IDEAL: A malicious traffic detection framework with explanation-guided learning
inferred← citeshttps://doi.org/10.1016/j.media.2025.103917openalex-snapshot
Interpretable classification of endomicroscopic brain data via saliency consistent contrastive learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128217openalex-snapshot
Synergistic insights: Exploring continuous learning and explainable AI in handwritten digit recognition
inferred← citeshttps://doi.org/10.1016/j.procs.2025.08.171openalex-snapshot
Multi-objective Learning for Training Interpretable and Sparse Neural Networks
inferred← citeshttps://doi.org/10.1038/s41598-025-13452-yopenalex-snapshot
A data centric HitL framework for conducting a systematic error analysis of NLP datasets using explainable AI
inferred← citeshttps://doi.org/10.1038/s41598-025-19850-6openalex-snapshot
Multimodal prototypical network for interpretable sentiment classification
inferred← citeshttps://doi.org/10.1039/d5dd00012bopenalex-snapshot
ACES-GNN: can graph neural network learn to explain activity cliffs?
inferred← citeshttps://doi.org/10.1080/13658816.2024.2369535openalex-snapshot
Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI
inferred← citeshttps://doi.org/10.1109/cbmi66578.2025.11339339openalex-snapshot
Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification
inferred← citeshttps://doi.org/10.1109/eurospw61312.2024.00067openalex-snapshot
Position: The Explainability Paradox - Challenges for XAI in Malware Detection and Analysis
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00189openalex-snapshot
MAGI: Multi-Annotated Explanation-Guided Learning
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00032openalex-snapshot
RA3: A Human-in-the-loop Framework for Interpreting and Improving Image Captioning with Relation-Aware Attribution Analysis
inferred← citeshttps://doi.org/10.1109/iceic61013.2024.10457275openalex-snapshot
Exploring Biological Features of Electroencephalography Signals for Explanation-Guided Learning
inferred← citeshttps://doi.org/10.1109/icip61757.2026.11630047openalex-snapshot
XAI or Attention: Improving Performance of Object Detectors with XBL
inferred← citeshttps://doi.org/10.1109/icmlas67792.2026.11483907openalex-snapshot
Retrieval-Augmented Generation (RAG): Architecture, Ethical Challenges, and Optimization Strategies
inferred← citeshttps://doi.org/10.1109/icnpcv69434.2026.11709003openalex-snapshot
Hybrid Semantic Search Framework Using Transformers and Vector Databases for Information Retrieval
inferred← citeshttps://doi.org/10.1109/iscmi67495.2025.11358511openalex-snapshot
Enhancing Industrial Data Access with Text-to-SQL using Portuguese LLMs and LangGraph
inferred← citeshttps://doi.org/10.1109/jproc.2025.3635153openalex-snapshot
A Comprehensive Survey on Self-Interpretable Neural Networks
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3466225openalex-snapshot
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation
inferred← citeshttps://doi.org/10.1109/sds60720.2024.00018openalex-snapshot
CIML-R: Causally Informed Machine Learning Based on Feature Relevance
inferred← citeshttps://doi.org/10.1109/ssci52147.2023.10371895openalex-snapshot
Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions
inferred← citeshttps://doi.org/10.1109/tccn.2024.3400524openalex-snapshot
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3666191openalex-snapshot
Explanation-Guided Adversarial Training for Robust and Interpretable Models
inferred← citeshttps://doi.org/10.1109/tpami.2025.3560033openalex-snapshot
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
inferred← citeshttps://doi.org/10.1109/tvt.2024.3364363openalex-snapshot
Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case
inferred← citeshttps://doi.org/10.1117/12.3008472openalex-snapshot
Explainable AI for lung nodule detection and classification in CT images
inferred← citeshttps://doi.org/10.1142/s2811032325400028openalex-snapshot
An Overview of Trustworthy and Sustainable AI Development for Catalyst Screening: The Role of Explainable AI (XAI)
inferred← citeshttps://doi.org/10.1145/3580305.3599336openalex-snapshot
ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation
inferred← citeshttps://doi.org/10.1145/3589462.3589495openalex-snapshot
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction
inferred← citeshttps://doi.org/10.1145/3654777.3676332openalex-snapshot
ShadowMagic: Designing Human-AI Collaborative Support for Comic Professionals’ Shadowing
inferred← citeshttps://doi.org/10.1145/3743672openalex-snapshot
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
inferred← citeshttps://doi.org/10.1145/3746059.3747725openalex-snapshot
MEDebiaser: A Human-AI Feedback System for Mitigating Bias in Multi-label Medical Image Classification
inferred← citeshttps://doi.org/10.1145/3746252.3761318openalex-snapshot
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models
inferred← citeshttps://doi.org/10.1145/3797953openalex-snapshot
De-Decay: Defusing Computer Vision Model Degradation through Scalable and Actionable Human-Data Alignment
inferred← citeshttps://doi.org/10.1145/3831585openalex-snapshot
CyDeBoost: A SHAP-Guided Boosting Strategy Framework for Cyberbullying Detection through Mistake-Driven Learning
inferred← citeshttps://doi.org/10.1145/3840748openalex-snapshot
A Survey of Causal Learning in Graph-Based Recommender Systems
inferred← citeshttps://doi.org/10.1177/07356331241310915openalex-snapshot
The Review of Studies on Explainable Artificial Intelligence in Educational Research
inferred← citeshttps://doi.org/10.1186/s12911-025-03233-yopenalex-snapshot
Joint explainable and fair AI in healthcare
inferred← citeshttps://doi.org/10.1515/itit-2025-0007openalex-snapshot
Toward trustworthy AI with integrative explainable AI frameworks
inferred← citeshttps://doi.org/10.2139/ssrn.5365494openalex-snapshot
Focusex: Generalizable Explanation Guided Learning Through Noise Reduction and Fine-Grained Localization
inferred← citeshttps://doi.org/10.2139/ssrn.5403119openalex-snapshot
Focusex: Generalizable Explanation Guided Learning Through Noise Reduction and Fine-Grained Localization
inferred← citeshttps://doi.org/10.2196/79975openalex-snapshot
Empowering Informal Caregivers of Persons With Early-Stage Dementia by Large Language Models: Mixed Methods Evaluation
inferred← citeshttps://doi.org/10.2196/preprints.79975openalex-snapshot
Empowering Informal Caregivers of Persons with Early-Stage Dementia with Large Language Models: Challenges and Opportunities (Preprint)
inferred← citeshttps://doi.org/10.3389/fdata.2024.1410424openalex-snapshot
Global explanation supervision for Graph Neural Networks
inferred← citeshttps://doi.org/10.3390/app16136332openalex-snapshot
Hardware Performance Counter Analysis of Ransomware Behavior: Observed Inverse Correlations Across Heterogeneous x86 Platforms
inferred← citeshttps://doi.org/10.3390/math14101665openalex-snapshot
Internal–External Explanation Guidance for Aspect-Based Sentiment Analysis
inferred← citeshttps://doi.org/10.4018/979-8-3373-7574-8.ch002openalex-snapshot
Role of Artificial Intelligence in Lifelong Learning for Personalized Education Using AI Agents, Generative AI, and Explainable AI
inferred← citeshttps://doi.org/10.48550/arxiv.2310.19775openalex-snapshot
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.