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Extending Knowledge Transfer in Data Analytics Through Cross-Domain Analysis

https://doi.org/10.2139/ssrn.5016889
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Model-Based Engineering for the Integration of Manufacturing Systems with Advanced Analytics
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Cross-domain comparison of algorithm performance in extracting aspect-based opinions from Chinese online reviews
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The vehicle routing and scheduling problem with cross-docking for perishable products under uncertainty: Two robust bi-objective models
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TLTD: Transfer Learning for Tabular Data
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Analysis of different approaches to cross-dock truck scheduling with truck arrival time uncertainty
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A survey on knowledge transfer for manufacturing data analytics
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Tabular data: Deep learning is not all you need
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Integrating Machine Learning with Human Knowledge
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VQSVM: A case study for incorporating prior domain knowledge into inductive machine learning
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A deep learning interpretable classifier for diabetic retinopathy disease grading
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An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection
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An incremental-learning neural network for the classification of remote-sensing images
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A survey of data mining and knowledge discovery process models and methodologies
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Random Forests
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A review of some techniques for inclusion of domain-knowledge into deep neural networks
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Towards a System of Systems Methodologies
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Prediction of arrival times and human resources allocation for container terminal
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Predictive analytics for truck arrival time estimation: a field study at a European distribution centre
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Enriching analytics models with domain knowledge for smart manufacturing data analysis
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Metrics for evaluating the performance of machine learning based automated valuation models
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Data-driven discovery of quantitative rules in relational databases
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The Use of Domain Knowledge Models for Effective Data Mining of Unstructured Customer Service Data in Engineering Applications
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Boosting for transfer learning with multiple sources
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Safety in numbers: Learning categories from few examples with multi model knowledge transfer
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Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices?
inferredcites →https://doi.org/10.1109/grc.2012.6468623openalex-snapshot
A Multi-domain Adaptation for sentiment classification algorithm based on Class Distribution
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Domain Adaptation Using Domain Similarity- and Domain Complexity-Based Instance Selection for Cross-Domain Sentiment Analysis
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Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading
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A Comprehensive Survey on Transfer Learning
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A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tkde.2009.205openalex-snapshot
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective
inferredcites →https://doi.org/10.1109/tkde.2010.32openalex-snapshot
Domain-Driven Data Mining: Challenges and Prospects
inferredcites →https://doi.org/10.1109/tkde.2021.3079836openalex-snapshot
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
inferredcites →https://doi.org/10.1109/tmm.2022.3146744openalex-snapshot
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Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning
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Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
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Demand Forecasting with Supply‐Chain Information and Machine Learning: Evidence in the Pharmaceutical Industry
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Boosting for transfer learning
inferredcites →https://doi.org/10.1145/1772690.1772767openalex-snapshot
Cross-domain sentiment classification via spectral feature alignment
inferredcites →https://doi.org/10.1145/2382577.2382579openalex-snapshot
Leakage in data mining
inferredcites →https://doi.org/10.1145/3220192.3220459openalex-snapshot
Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?
inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
A Coefficient of Agreement for Nominal Scales
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A survey of transfer learning
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To Explain or to Predict?
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Detecting Management Fraud in Public Companies
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Deep Learning in Asset Pricing
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Optimal Retail Location: Empirical Methodology and Application to Practice
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Real-Time Delivery Time Forecasting and Promising in Online Retailing: When Will Your Package Arrive?
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Air Cargo Development in the Regional Airports of the Baltic Sea Region Through Road Feeder Services
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Hybrid Heterogeneous Transfer Learning through Deep Learning
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Predictive Analytics in Information Systems Research
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Optimal Retail Location: Empirical Methodology and Application to Practice
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Predictive Analytics in Information Systems Research1
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Integrating Knowledge and Reasoning in Image Understanding
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Soft Systems Methodology*
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From Prediction to Precision: Leveraging LLMs for Equitable and Data-Driven Writing Placement in Developmental Education
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Frustratingly Easy Domain Adaptation
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Learning Transferable Features with Deep Adaptation Networks
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CatBoost: unbiased boosting with categorical features
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Explainable Machine Learning with Prior Knowledge: An Overview
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Transfer Learning with Deep Tabular Models
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A Review on Evaluation Metrics for Data Classification Evaluations
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Correcting Sample Selection Bias by Unlabeled Data
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A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities
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