On the public citation graph
On the integration of symbolic and sub-symbolic techniques for XAI: A survey
0 signed · 120 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-90869-4_6openalex-snapshot
Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies
inferredcites →https://doi.org/10.1007/978-3-540-25932-9_1openalex-snapshot
MAS as Complex Systems: A View on the Role of Declarative Approaches
inferredcites →https://doi.org/10.1007/978-3-540-68856-3openalex-snapshot
Logical and Relational Learning
inferredcites →https://doi.org/10.1007/978-3-540-75390-2_5openalex-snapshot
Rule Extraction Based on Support and Prototype Vectors
inferredcites →https://doi.org/10.1007/978-3-540-88190-2_1openalex-snapshot
Logical and Relational Learning
inferredcites →https://doi.org/10.1007/978-3-642-35506-6_9openalex-snapshot
Perception Processing for General Intelligence: Bridging the Symbolic/Subsymbolic Gap
inferredcites →https://doi.org/10.1007/s10994-013-5392-1openalex-snapshot
Fast relational learning using bottom clause propositionalization with artificial neural networks
inferredcites →https://doi.org/10.1007/s11063-011-9207-8openalex-snapshot
Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems
inferredcites →https://doi.org/10.1016/0950-7051(96)81920-4openalex-snapshot
Survey and critique of techniques for extracting rules from trained artificial 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.neucom.2010.02.016openalex-snapshot
Rule extraction from support vector machines: A review
inferredcites →https://doi.org/10.1016/s0004-3702(00)00077-1openalex-snapshot
Symbolic knowledge extraction from trained neural networks: A sound approach
inferredcites →https://doi.org/10.1016/s0031-3203(98)00181-2openalex-snapshot
Extracting decision trees from trained neural networks
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1017/cbo9780511801129openalex-snapshot
An Introduction to Many-Valued and Fuzzy Logic
inferredcites →https://doi.org/10.1109/21.299696openalex-snapshot
Rule generation from neural networks
inferredcites →https://doi.org/10.1109/comst.2017.2707140openalex-snapshot
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
inferredcites →https://doi.org/10.1109/edoc.2016.7579386openalex-snapshot
Root Cause Analysis through Abduction in Markov Logic Networks
inferredcites →https://doi.org/10.1109/icnn.1988.23855openalex-snapshot
Medical diagnostic expert system based on PDP model
inferredcites →https://doi.org/10.1109/icnn.1993.298658openalex-snapshot
Rule refinement with recurrent neural networks
inferredcites →https://doi.org/10.1109/titb.2006.880553openalex-snapshot
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications
inferredcites →https://doi.org/10.1109/tnnls.2015.2389037openalex-snapshot
Active Learning-Based Pedagogical Rule Extraction
inferredcites →https://doi.org/10.1145/3019612.3019642openalex-snapshot
Learning and reasoning in logic tensor networks
inferredcites →https://doi.org/10.1145/3236009openalex-snapshot
A Survey of Methods for Explaining Black Box Models
inferredcites →https://doi.org/10.1162/neco.1997.9.1.205openalex-snapshot
Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting
inferredcites →https://doi.org/10.1609/aimag.v29i3.2157openalex-snapshot
Collective Classification in Network Data
inferredcites →https://doi.org/10.1609/aimag.v40i2.2850openalex-snapshot
DARPA's Explainable Artificial Intelligence Program
inferredcites →https://doi.org/10.1613/jair.1.11203openalex-snapshot
Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures
inferredcites →https://doi.org/10.1613/jair.5714openalex-snapshot
Learning Explanatory Rules from Noisy Data
inferredcites →https://doi.org/10.18653/v1/d16-1019openalex-snapshot
Jointly Embedding Knowledge Graphs and Logical Rules
inferredcites →https://doi.org/10.18653/v1/n16-1openalex-snapshot
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.3390/bdcc2030023openalex-snapshot
LPaaS as Micro-Intelligence: Enhancing IoT with Symbolic Reasoning
inferredcites →https://doi.org/10.3390/info11010001openalex-snapshot
A Parallel Image Registration Algorithm Based on a Lattice Boltzmann Model
inferredcites →https://doi.org/10.3390/info11030167openalex-snapshot
Logic-Based Technologies for Intelligent Systems: State of the Art and Perspectives
inferredcites →https://doi.org/10.4324/9781315387185openalex-snapshot
The Culture of AI: Everyday Life and the Digital Revolution
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-75775-5_27openalex-snapshot
Lazy Stream Manipulation in Prolog via Backtracking: The Case of 2P-Kt
inferred← citeshttps://doi.org/10.1007/978-3-030-77091-4_2openalex-snapshot
Explainable and Ethical AI: A Perspective on Argumentation and Logic Programming
inferred← citeshttps://doi.org/10.1007/978-3-030-82017-6_2openalex-snapshot
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors
inferred← citeshttps://doi.org/10.1007/978-3-030-82017-6_20openalex-snapshot
Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge
inferred← citeshttps://doi.org/10.1007/978-3-030-82017-6_5openalex-snapshot
Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search
inferred← citeshttps://doi.org/10.1007/978-3-030-87626-5_7openalex-snapshot
Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations
inferred← citeshttps://doi.org/10.1007/978-3-030-89811-3_12openalex-snapshot
Making Things Explainable vs Explaining: Requirements and Challenges Under the GDPR
inferred← citeshttps://doi.org/10.1007/978-3-031-15565-9_6openalex-snapshot
On the Design of PSyKI: A Platform for Symbolic Knowledge Injection into Sub-symbolic Predictors
inferred← citeshttps://doi.org/10.1007/978-3-031-15707-3_5openalex-snapshot
A Comparative Study of Three Neural-Symbolic Approaches to Inductive Logic Programming
inferred← citeshttps://doi.org/10.1007/978-3-031-27181-6_1openalex-snapshot
The PSyKE Technology for Trustworthy Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-031-40878-6_3openalex-snapshot
A General-Purpose Protocol for Multi-agent Based Explanations
inferred← citeshttps://doi.org/10.1007/978-3-031-43619-2_10openalex-snapshot
Declarative Reasoning on Explanations Using Constraint Logic Programming
inferred← citeshttps://doi.org/10.1007/978-3-031-44064-9_22openalex-snapshot
Reason to Explain: Interactive Contrastive Explanations (REASONX)
inferred← citeshttps://doi.org/10.1007/978-3-031-44067-0_6openalex-snapshot
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal
inferred← citeshttps://doi.org/10.1007/978-3-031-50485-3_2openalex-snapshot
Post–mining on Association Rule Bases
inferred← citeshttps://doi.org/10.1007/978-3-031-70074-3_9openalex-snapshot
Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models
inferred← citeshttps://doi.org/10.1007/978-3-031-77892-6_7openalex-snapshot
Reasoning With and About Bias
inferred← citeshttps://doi.org/10.1007/978-3-031-97389-5_10openalex-snapshot
Conclusion: Future of AI and the Rule of Law—Ethics and Regulatory Framework in Legal Tech and Digital Governance
inferred← citeshttps://doi.org/10.1007/978-3-032-16711-8_16openalex-snapshot
Explainable Artificial Intelligence in Finance: Balancing Transparency, Trust, and Performance in High-Stake Environment
inferred← citeshttps://doi.org/10.1007/978-3-032-22940-3_12openalex-snapshot
Intelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration
inferred← citeshttps://doi.org/10.1007/978-3-032-22940-3_14openalex-snapshot
AI Infrastructure: From Gigastructure to Edge Intelligence with Multi-Agent Systems
inferred← citeshttps://doi.org/10.1007/s00521-022-07088-6openalex-snapshot
Design of artistic graphic symbols based on intelligent guidance marking system
inferred← citeshttps://doi.org/10.1007/s10458-023-09609-6openalex-snapshot
Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments
inferred← citeshttps://doi.org/10.1007/s10506-024-09430-wopenalex-snapshot
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
inferred← citeshttps://doi.org/10.1007/s10618-022-00867-8openalex-snapshot
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
inferred← citeshttps://doi.org/10.1007/s10676-024-09746-wopenalex-snapshot
Policy advice and best practices on bias and fairness in AI
inferred← citeshttps://doi.org/10.1007/s10710-025-09530-9openalex-snapshot
Discovering continuous-time memory-based symbolic policies using genetic programming
inferred← citeshttps://doi.org/10.1007/s10845-023-02304-zopenalex-snapshot
Survey on ontology-based explainable AI in manufacturing
inferred← citeshttps://doi.org/10.1007/s10849-023-09408-yopenalex-snapshot
Special Issue of Natural Logic Meets Machine Learning (NALOMA): Selected Papers from the First Three Workshops of NALOMA
inferred← citeshttps://doi.org/10.1007/s10916-021-01780-1openalex-snapshot
Augmenting BDI Agency with a Cognitive Service: Architecture and Validation in Healthcare Domain
inferred← citeshttps://doi.org/10.1007/s11023-024-09664-2openalex-snapshot
Reflective Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/s40747-021-00583-8openalex-snapshot
XMAP: eXplainable mapping analytical process
inferred← citeshttps://doi.org/10.1007/s44163-025-00281-1openalex-snapshot
Transformative impact of explainable artificial intelligence: bridging complexity and trust
inferred← citeshttps://doi.org/10.1007/s44246-024-00129-wopenalex-snapshot
Predictive capability of rough set machine learning in tetracycline adsorption using biochar
inferred← citeshttps://doi.org/10.1016/b978-0-443-36322-1.00032-8openalex-snapshot
Backpropagation and artificial intelligence truth
inferred← citeshttps://doi.org/10.1016/j.biombioe.2023.106820openalex-snapshot
Development of predictive model for biochar surface properties based on biomass attributes and pyrolysis conditions using rough set machine learning
inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107536openalex-snapshot
Symbolic knowledge extraction for explainable nutritional recommenders
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111008openalex-snapshot
EVolutionary independent DEtermiNistiC explanation
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118888openalex-snapshot
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI
inferred← citeshttps://doi.org/10.1016/j.future.2025.108310openalex-snapshot
On-device explainable artificial intelligence for the semantic web of everything
inferred← citeshttps://doi.org/10.1016/j.giq.2022.101708openalex-snapshot
Sentiment analysis of public services for smart society: Literature review and future research directions
inferred← citeshttps://doi.org/10.1016/j.ijar.2023.109106openalex-snapshot
Spatial unity for the apperception engine
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101805openalex-snapshot
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103352openalex-snapshot
Towards eXplicitly eXplainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106740openalex-snapshot
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126518openalex-snapshot
Neural module networks: A review
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.06.028openalex-snapshot
A survey on neural-symbolic learning systems
inferred← citeshttps://doi.org/10.1016/j.osnem.2022.100239openalex-snapshot
The HEIC application framework for implementing XAI-based socio-technical systems
inferred← citeshttps://doi.org/10.1016/j.procs.2021.08.025openalex-snapshot
Towards a terminology for a fully contextualized XAI
inferred← citeshttps://doi.org/10.1016/j.softx.2021.100817openalex-snapshot
2P-Kt: A logic-based ecosystem for symbolic AI
inferred← citeshttps://doi.org/10.1016/j.techfore.2023.122343openalex-snapshot
How should the results of artificial intelligence be explained to users? - Research on consumer preferences in user-centered explainable artificial intelligence
inferred← citeshttps://doi.org/10.1017/s1471068422000102openalex-snapshot
Fifty Years of Prolog and Beyond
inferred← citeshttps://doi.org/10.1021/acs.est.3c03906openalex-snapshot
An Intelligent Early Warning System for Harmful Algal Blooms: Harnessing the Power of Big Data and Deep Learning
inferred← citeshttps://doi.org/10.1080/10447318.2022.2062549openalex-snapshot
Context Awareness in Recognition of Affective States: A Systematic Mapping of the Literature
inferred← citeshttps://doi.org/10.1080/13658816.2022.2092115openalex-snapshot
Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks
inferred← citeshttps://doi.org/10.1093/logcom/exad037openalex-snapshot
Knowledge injection of Datalog rules via Neural Network Structuring with KINS
inferred← citeshttps://doi.org/10.1109/icste61649.2023.00031openalex-snapshot
Utilizing Testing-Based Formal Verification in Neural Networks: A Theoretical Approach *
inferred← citeshttps://doi.org/10.1109/iit59782.2023.10366490openalex-snapshot
Quantification of Explainability in Black Box Models using Complexity Measures
inferred← citeshttps://doi.org/10.1109/ojia.2024.3399057openalex-snapshot
Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions
inferred← citeshttps://doi.org/10.1109/tai.2022.3227225openalex-snapshot
User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning
inferred← citeshttps://doi.org/10.1109/tps-isa56441.2022.00013openalex-snapshot
Accountable AI for Healthcare IoT Systems
inferred← citeshttps://doi.org/10.1111/tgis.13045openalex-snapshot
The challenges of integrating explainable artificial intelligence into GeoAI
inferred← citeshttps://doi.org/10.1145/3527188.3563914openalex-snapshot
XAI: Using Smart Photobooth for Explaining History of Art
inferred← citeshttps://doi.org/10.1145/3630106.3658990openalex-snapshot
A Critical Survey on Fairness Benefits of Explainable AI
inferred← citeshttps://doi.org/10.1145/3645103openalex-snapshot
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3749097openalex-snapshot
Four Decades of Symbolic Knowledge Extraction from Sub-Symbolic Predictors. A Survey
inferred← citeshttps://doi.org/10.13031/ja.14912openalex-snapshot
Crop Improvement for Circular Bioeconomy Systems
inferred← citeshttps://doi.org/10.1371/journal.pwat.0000059openalex-snapshot
Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering
inferred← citeshttps://doi.org/10.23919/mipro55190.2022.9803681openalex-snapshot
Explainable Artificial Intelligence: An Updated Perspective
inferred← citeshttps://doi.org/10.3233/ia-210120openalex-snapshot
Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments
inferred← citeshttps://doi.org/10.3233/ia-230001openalex-snapshot
Towards a unified model for symbolic knowledge extraction with hypercube-based methods
inferred← citeshttps://doi.org/10.3233/ia-240026openalex-snapshot
Untying black boxes with clustering-based symbolic knowledge extraction
inferred← citeshttps://doi.org/10.3233/sw-233297openalex-snapshot
Engineering user-centered explanations to query answers in ontology-driven socio-technical systems
inferred← citeshttps://doi.org/10.3390/electronics11244171openalex-snapshot
A DEXiRE for Extracting Propositional Rules from Neural Networks via Binarization
inferred← citeshttps://doi.org/10.3390/j4040061openalex-snapshot
Argumentation and Defeasible Reasoning in the Law
inferred← citeshttps://doi.org/10.3390/make5010017openalex-snapshot
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting
inferred← citeshttps://doi.org/10.4018/979-8-3373-0659-9.ch007openalex-snapshot
Electroencephalogram (EEG) AI-Based Analysis of Brain Activity
inferred← citeshttps://doi.org/10.4204/eptcs.385.51openalex-snapshot
Beyond Traditional Neural Networks: Toward adding Reasoning and Learning Capabilities through Computational Logic Techniques
inferred← citeshttps://doi.org/10.4204/eptcs.416.31openalex-snapshot
Bridging Logic Programming and Deep Learning for Explainability through ILASP
inferred← citeshttps://doi.org/10.4236/airr.2025.11002openalex-snapshot
AI and Predictability in Law: Advancements, Limitations, and Ethical Challenges
inferred← citeshttps://doi.org/10.5555/3461017.3461268openalex-snapshot
Logic-based Technologies for Multi-agent Systems: Summary of a Systematic Literature Review.
inferred← citeshttps://doi.org/10.59048/2181-1105.1804openalex-snapshot
REVIEW AND ANALASYS OF EXPLAINABLE ARTIFICIAL INTELLIGENCE APPLICATIONS IN DISTRIBUTED SYSTEMS AND MICROSERVICES
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.