Paper Citation Record · LEDGER

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future

As of 21 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 6 inbound Pith citation observations for arXiv:2412.14056.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.14056 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:33:38.405352Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:33.080737Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T13:33:28.320853Z

Reference resolution

100 of 299 outbound references displayed

verified exact3
verified fuzzy0
unresolved97
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 569a6ca2-e6b9-462a-a2e7-69c7edd68a1a · outbound

This paper cites Attention is all you need,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Attention is all you need,

Reference 1

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Observation d339e8fa-9690-4c61-a517-7e00f82d0ba6 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 2

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Observation 9680d9f1-a3d3-4f84-8665-761c19ed3b90 · outbound

This paper cites Chatgpt: Get instant answers, find creative inspiration, learn something new,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Chatgpt: Get instant answers, find creative inspiration, learn something new,

Reference 3

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Observation 833043b3-badf-490e-85af-d68d611ee8ae · outbound

This paper cites Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning,

Reference 4

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Observation d25d3bae-3e1a-4750-8e7a-d9ef82189abe · outbound

This paper cites Unbox the black-box for the medical explainable ai via multi-modal and multi-centre data fusion: A mini- review, two showcases and beyond,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Unbox the black-box for the medical explainable ai via multi-modal and multi-centre data fusion: A mini- review, two showcases and beyond,

Reference 5

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Observation bfc88907-e90e-4e81-b219-7d24d3c9b12f · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Imagenet: A large-scale hierarchical image database,

Reference 7

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Observation 150c9ae6-ec73-4d5d-a22e-1c64033fba54 · outbound

This paper cites Visualizing higher- layer features of a deep network,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Visualizing higher- layer features of a deep network,

Reference 8

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Observation c6088dac-e6e5-4453-a37a-8b333f00299c · outbound

This paper cites Beyond intuition: Rethinking token attributions inside transformers,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Beyond intuition: Rethinking token attributions inside transformers,

Reference 9

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Observation a1231235-c0b3-46a9-8f2c-1d8f05d07403 · outbound

This paper cites Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers,

Reference 10

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Observation 63c1eb84-f48b-41d1-a50e-4c6495a9d8cf · outbound

This paper cites Transformer interpretability beyond attention visualization,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Transformer interpretability beyond attention visualization,

Reference 11

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Observation 804d165d-e393-4f24-b7b3-a4e7916dfeb7 · outbound

This paper cites Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence,

Reference 12

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Observation 66c0bcd5-b4ef-46f4-b579-e75b2d13954c · outbound

This paper cites Rethinking Interpretability in the Era of Large Language Models.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Rethinking Interpretability in the Era of Large Language Models

Reference 13

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Observation a8f47c9f-943c-45d9-bc86-07142fbcbe42 · outbound

This paper cites Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era

Reference 14

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Observation b10fa0c9-3db2-4cd5-8236-2717f5230e8d · outbound

This paper cites From Understanding to Utilization: A Survey on Explainability for Large Language Models.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 15

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Observation 93ad68a2-0be5-41e0-88df-52b12a59890b · outbound

This paper cites Feature selection based on mu- tual information criteria of max-dependency, max-relevance, and min- redundancy,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Feature selection based on mu- tual information criteria of max-dependency, max-relevance, and min- redundancy,

Reference 16

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Observation da9364ad-3849-4fe6-8f34-3cde95548a18 · outbound

This paper cites Rule-based learning systems for support vector machines,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Rule-based learning systems for support vector machines,

Reference 17

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Observation add772e9-4795-4ac5-a8c1-e4a03bf2eb2c · outbound

This paper cites Assessment of landslide susceptibility by decision trees in the metropolitan area of istanbul, turkey,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Assessment of landslide susceptibility by decision trees in the metropolitan area of istanbul, turkey,

Reference 18

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Observation 0717f8f6-bd19-41af-b4e4-8f4c7c672028 · outbound

This paper cites Mining high-speed data streams,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Mining high-speed data streams,

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Observation a4ad1fda-ab49-4f43-9bfc-034bd2094442 · outbound

This paper cites Auto-Encoding Variational Bayes.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Auto-Encoding Variational Bayes

Reference 20

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Observation 25851e2c-2c29-4390-acbc-eb3a1d54b331 · outbound

This paper cites beta-vae: Learning basic vi- sual concepts with a constrained variational framework.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future beta-vae: Learning basic vi- sual concepts with a constrained variational framework

Reference 21

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Observation 87f5edcf-4f43-461f-81a2-fa7f47c76bc1 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Learning transferable visual models from natural language supervision,

Reference 22

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Observation a708c3ae-14eb-4bbd-b385-fe40b07a6c11 · outbound

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Unresolved cited work

Reference 23

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This paper cites Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,

Reference 24

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Observation 542c3fac-db6e-4fd5-b0c4-14351ea99b88 · outbound

This paper cites Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions

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Observation bed7f16a-9a6f-47eb-8464-9ab0e46a5bf6 · outbound

This paper cites Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda

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Observation 49463059-b10b-4310-a145-90ef764e92bd · outbound

This paper cites Explainability for large language models: A survey,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainability for large language models: A survey,

Reference 27

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Observation 5e9fbc0e-d6c9-4c48-b346-09c5d4130f71 · outbound

This paper cites Explainable artificial intelligence (xai) from a user perspective: A synthesis of prior literature and problematizing avenues for future research,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable artificial intelligence (xai) from a user perspective: A synthesis of prior literature and problematizing avenues for future research,

Reference 28

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This paper cites A systematic review of explainable artificial intelligence models and applications: Recent developments and future trends,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A systematic review of explainable artificial intelligence models and applications: Recent developments and future trends,

Reference 29

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainability of Vision Transformers: A Comprehensive Review and New Perspectives

Reference 30

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explain- ability and evaluation of vision transformers: An in-depth experimental study,

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This paper cites Towards human-centered explainable ai: A survey of user studies for model explanations,.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Towards human-centered explainable ai: A survey of user studies for model explanations,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable ai (xai): A systematic meta- survey of current challenges and future opportunities,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A survey on xai and natural language explanations,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Knowledge graphs as tools for explainable machine learning: A survey,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable ai methods-a brief overview,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Counterfactual explanations and how to find them: literature review and benchmarking,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable ai for time series classification: a review, taxonomy and research directions,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A survey of contrastive and counterfactual explanation generation methods for explainable artificial intelligence,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Notions of explainability and evaluation approaches for explainable artificial intelligence,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable artificial intelligence: objectives, stakeholders, and future research opportunities,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable ai: A review of machine learning interpretability methods,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable Artificial Intelligence Approaches: A Survey

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Argumentation and ex- plainable artificial intelligence: a survey,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A survey on the explainability of super- vised machine learning,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Reviewing the need for explainable artificial intelligence (xai),

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Explainable Artificial Intelligence (XAI): An Engineering Perspective

Reference 47

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Minimum redundancy feature selection from microarray gene expression data,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Feature selection for high-dimensional data—a pearson redundancy based filter,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Emotion recognition using brain activity,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Normalized mutual information feature selection,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Optimization method based extreme learning machine for classification,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Eye move- ment analysis for activity recognition using electrooculography,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Backward sequential elimination for sparse vector subset selection,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Gene selection for cancer classification using support vector machines,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Feature subset selection for blood pressure classification using orthogonal forward selection,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Feature selection for high-dimensional industrial data

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Random forests,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Exploration of a hybrid feature selection algorithm,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Ant colony optimization for feature selection in face recognition,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Optimization of intrusion detection through fast hybrid feature selection,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A wrapper for feature selection based on mutual information,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A hybrid feature selection approach for microarray gene expression data,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Application of a hybrid wavelet feature selection method in the design of a self-paced brain interface system,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Feature subset selection in large dimensionality domains,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Independent component analysis: algorithms and applications,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A global geometric framework for nonlinear dimensionality reduction,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Nonlinear dimensionality reduction by locally linear embedding,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Pca versus lda,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Two-dimensional linear discriminant analysis,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Two- dimensional linear discriminant analysis of principle component vectors for face recognition,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Visualizing data using t-sne

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A note on two-dimensional linear discriminant analysis,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Two-dimensional direct and weighted linear discriminant analysis for face recognition,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future On the re- lationship between feature selection and classification accuracy,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future What is principal component analysis?

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future 1d-lda vs. 2d-lda: When is vector- based linear discriminant analysis better than matrix-based?

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Generalized linear discriminant analysis: a unified framework and efficient model selection,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Mpca: Multilin- ear principal component analysis of tensor objects,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Structured sparse principal component analysis,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Two-stage image denoising by principal component analysis with local pixel grouping,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Unsupervised kernel dimension reduction,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Jaccard, Interaction effects in logistic regression

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Pur- poseful selection of variables in logistic regression,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future An introduction to logistic regression analysis and reporting,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Rocr: visualiz- ing classifier performance in r,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future In- duction of decision trees using an internal control of induction,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Supporting the dynamic evolution of web service protocols in service- oriented architectures,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Learning to match xml schemas-a deci- sion tree based approach,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future An k nn model-based approach and its application in text categorization,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Application of the ga/knn method to seldi proteomics data,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future The truth is in there- rule extraction from opaque models using genetic programming

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Rule extraction from support vector machines

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Bayesian models of cognition,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future A bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Bayesian econometric methods cambridge, uk: Cambridge univ,

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Trust and tam in online shopping: An integrated model,

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