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04/11/2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
Although neural networks (especially deep neural networks) have achieved...
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03/26/2023
On the tightness of information-theoretic bounds on generalization error of learning algorithms
A recent line of works, initiated by Russo and Xu, has shown that the ge...
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11/26/2022
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data
In biomanufacturing, developing an accurate model to simulate the comple...
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11/26/2022
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling
Constraint programming (CP) is an effective technique for solving constr...
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07/12/2022
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications
Transfer learning, or domain adaptation, is concerned with machine learn...
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05/10/2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis
The establishment of the link between causality and unsupervised domain ...
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05/06/2022
Fast Rate Generalization Error Bounds: Variations on a Theme
A recent line of works, initiated by Russo and Xu, has shown that the ge...
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01/26/2022
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters
This study concentrates on clustering problems and aims to find compact ...
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09/03/2021
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms
Transfer learning is a machine learning paradigm where knowledge from on...
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05/05/2021
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions
Many scientific and practical areas have shown increasing interest in re...
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05/04/2021
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge
Transfer learning is a machine learning paradigm where the knowledge fro...
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12/17/2020
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods
More than 144 000 Australians were diagnosed with cancer in 2019. The ma...
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12/15/2020
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models
Surgical risk increases significantly when patients present with comorbi...
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12/04/2020
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming
In medical fields, text classification is one of the most important task...
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12/04/2020
Similarity measure for aggregated fuzzy numbers from interval-valued data
This paper presents a method to compute the degree of similarity between...
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12/04/2020
Machine learning with incomplete datasets using multi-objective optimization models
Machine learning techniques have been developed to learn from complete d...
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12/03/2020
Methods of ranking for aggregated fuzzy numbers from interval-valued data
This paper primarily presents two methods of ranking aggregated fuzzy nu...
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12/01/2020
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values
Collecting sufficient labelled training data for health and medical prob...
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12/01/2020
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models
In this study, we propose a multicriteria group decision making (MCGDM) ...
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11/16/2020
Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making
Generally, the criteria involved in a decision making problem are intera...
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11/16/2020
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making
This contribution reviews critically the existing entropy measures for p...
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11/16/2020
Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models
In this paper, we propose a rule-based engine composed of high quality a...
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11/16/2020
Multi-objective semi-supervised clustering to identify health service patterns for injured patients
This study develops a pattern recognition method that identifies pattern...
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11/16/2020
Imputation techniques on missing values in breast cancer treatment and fertility data
Clinical decision support using data mining techniques offers more intel...
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11/16/2020
Teaching Key Machine Learning Principles Using Anti-learning Datasets
Much of the teaching of machine learning focuses on iterative hill-climb...
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11/16/2020
A method for evaluating options for motif detection in electricity meter data
Investigation of household electricity usage patterns, and matching the ...
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11/16/2020
Using simulation to incorporate dynamic criteria into multiple criteria decision-making
In this paper, we present a case study demonstrating how dynamic and unc...
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11/16/2020
Fuzzy C-means-based scenario bundling for stochastic service network design
Stochastic service network designs with uncertain demand represented by ...
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11/16/2020
Measuring agreement on linguistic expressions in medical treatment scenarios
Quality of life assessment represents a key process of deciding treatmen...
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11/09/2020
Synthetic Over-sampling with the Minority and Majority classes for imbalance problems
Class imbalance is a substantial challenge in classifying many real-worl...
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05/18/2020
Information-theoretic analysis for transfer learning
Transfer learning, or domain adaptation, is concerned with machine learn...
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06/04/2017
CRNN: A Joint Neural Network for Redundancy Detection
This paper proposes a novel framework for detecting redundancy in superv...
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09/09/2016
Measuring Player's Behaviour Change over Time in Public Goods Game
An important issue in public goods game is whether player's behaviour ch...
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08/05/2016
Self-Organising Maps in Computer Security
Some argue that biologically inspired algorithms are the future of solvi...
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07/21/2016
Supervised Adverse Drug Reaction Signalling Framework Imitating Bradford Hill's Causality Considerations
Big longitudinal observational medical data potentially hold a wealth of...
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07/21/2016
Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication
In the context of cancer treatment and surgery, quality of life assessme...
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07/21/2016
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation
Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to p...
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07/20/2016
Optimising Rule-Based Classification in Temporal Data
This study optimises manually derived rule-based expert system classific...
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07/20/2016
Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
How do technology users effectively transit from having zero knowledge a...
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07/20/2016
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams
Uncertain data streams have been widely generated in many Web applicatio...
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07/20/2016
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining
Purpose: To develop a framework for identifying and incorporating candid...
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07/20/2016
Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence
Advances in healthcare and in the quality of life significantly increase...
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07/20/2016
Indebted households profiling: a knowledge discovery from database approach
A major challenge in consumer credit risk portfolio management is to cla...
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07/20/2016
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining
Big longitudinal observational databases present the opportunity to extr...
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07/20/2016
Modelling Office Energy Consumption: An Agent Based Approach
In this paper, we develop an agent-based model which integrates four imp...
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04/30/2016
An Improved System for Sentence-level Novelty Detection in Textual Streams
Novelty detection in news events has long been a difficult problem. A nu...
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09/03/2014
Augmented Neural Networks for Modelling Consumer Indebtness
Consumer Debt has risen to be an important problem of modern societies, ...
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09/03/2014
Analysing Fuzzy Sets Through Combining Measures of Similarity and Distance
Reasoning with fuzzy sets can be achieved through measures such as simil...
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09/03/2014
A Fuzzy Directional Distance Measure
The measure of distance between two fuzzy sets is a fundamental tool wit...
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08/23/2013
