Abductive learning: towards bridging machine learning and logical reasoning

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Cite
Zhou, Zhi-Hua. “Abductive Learning: Towards Bridging Machine Learning and Logical Reasoning”. Science China Information Sciences, vol. 62, no. 7, 2019, https://doi.org/10.1007/s11432-018-9801-4.
Zhou, Z.-H. (2019). Abductive learning: towards bridging machine learning and logical reasoning. Science China Information Sciences, 62(7). https://doi.org/10.1007/s11432-018-9801-4
Zhou, Zhi-Hua. “Abductive Learning: Towards Bridging Machine Learning and Logical Reasoning”. Science China Information Sciences 62, no. 7 (2019). https://doi.org/10.1007/s11432-018-9801-4.
Zhou ZH. Abductive learning: towards bridging machine learning and logical reasoning. Science China Information Sciences. 2019;62(7).
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
Title Journal Journal Categories Citations Publication Date
A brief introduction to weakly supervised learning National Science Review
  • Science
  • Science: Science (General)
 701 2018
Learnware: on the future of machine learning Frontiers of Computer Science
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 61 2016
10.1007/3-540-44960-4_8 2000
10.1007/978-94-017-0606-3_12 2000
10.1007/978-3-642-03631-6 2009
Citations
Title Journal Journal Categories Citations Publication Date
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels Knowledge and Information Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1 2024
Reduced implication-bias logic loss for neuro-symbolic learning Machine Learning
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2024
Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2 2024
Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model Building and Environment
  • Technology: Building construction: Architectural engineering. Structural engineering of buildings
  • Technology: Engineering (General). Civil engineering (General): Environmental engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2024
Synergies Between Machine Learning and Reasoning - An Introduction by the Kay R. Amel group International Journal of Approximate Reasoning
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science38
Technology: Mechanical engineering and machinery23
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics23
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware16
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software14
Technology: Engineering (General). Civil engineering (General)13
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks13
Science: Science (General): Cybernetics: Information theory12
Technology: Photography4
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication3
Science: Physics2
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry2
Technology: Technology (General): Industrial engineering. Management engineering: Information technology2
Science: Science (General)1
Science: Biology (General)1
Science: Chemistry1
Science: Chemistry: General. Including alchemy1
Technology: Technology (General): Industrial engineering. Management engineering1
Technology: Chemical technology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Technology: Building construction: Architectural engineering. Structural engineering of buildings1
Technology: Engineering (General). Civil engineering (General): Environmental engineering1
Geography. Anthropology. Recreation: Environmental sciences1
Geography. Anthropology. Recreation: Geography (General)1
Science: Geology1
Technology: Engineering (General). Civil engineering (General): Transportation engineering1
Bibliography. Library science. Information resources1
Bibliography. Library science. Information resources: Information resources (General)1
Social Sciences1
Medicine: Medicine (General): Medical technology1
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine1
Language and Literature: Philology. Linguistics: Computational linguistics. Natural language processing1
Language and Literature: Philology. Linguistics1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 38 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Lightweight Label Propagation for Large-Scale Network Data and was published in 2019. The most recent citation comes from a 2024 study titled Synergies Between Machine Learning and Reasoning - An Introduction by the Kay R. Amel group. This article reached its peak citation in 2021, with 17 citations. It has been cited in 36 different journals, 8% of which are open access. Among related journals, the IEEE Transactions on Knowledge and Data Engineering cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year