b'Uwe Aickelin'

research

∙ 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...

0 Mehedi Hasan, et al. ∙

research

∙ 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...

0 Xuetong Wu, et al. ∙

research

∙ 11/26/2022

Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data

In biomanufacturing, developing an accurate model to simulate the comple...

0 Yuan Sun, et al. ∙

research

∙ 11/26/2022

Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling

Constraint programming (CP) is an effective technique for solving constr...

0 Yuan Sun, et al. ∙

research

∙ 07/12/2022

An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications

Transfer learning, or domain adaptation, is concerned with machine learn...

0 Xuetong Wu, et al. ∙

research

∙ 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 ...

0 Xuetong Wu, et al. ∙

research

∙ 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...

0 Xuetong Wu, et al. ∙

research

∙ 01/26/2022

Multi-objective Semi-supervised Clustering for Finding Predictive Clusters

This study concentrates on clustering problems and aims to find compact ...

0 Zahra Ghasemi, et al. ∙

research

∙ 09/03/2021

A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms

Transfer learning is a machine learning paradigm where knowledge from on...

0 Xuetong Wu, et al. ∙

research

∙ 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...

0 Mahdi Fahmideh, et al. ∙

research

∙ 05/04/2021

Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge

Transfer learning is a machine learning paradigm where the knowledge fro...

0 Xuetong Wu, et al. ∙

research

∙ 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...

0 Goce Ristanoski, et al. ∙

research

∙ 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...

0 Yuxuan, et al. ∙

research

∙ 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...

0 J. Liu, et al. ∙

research

∙ 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...

0 Justin Kane Gunn, et al. ∙

research

∙ 12/04/2020

Machine learning with incomplete datasets using multi-objective optimization models

Machine learning techniques have been developed to learn from complete d...

0 Hadi A. Khorshidi, et al. ∙

research

∙ 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...

0 Justin Kane Gunn, et al. ∙

research

∙ 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...

0 Xuetong Wu, et al. ∙

research

∙ 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) ...

0 Hadi A. Khorshidi, et al. ∙

research

∙ 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...

0 B Farhadinia, et al. ∙

research

∙ 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...

0 Bahram Farhadinia, et al. ∙

research

∙ 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...

0 Chaofan Tu, et al. ∙

research

∙ 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...

0 Hadi Akbarzadeh Khorshidi, et al. ∙

research

∙ 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...

0 Xuetong Wu, et al. ∙

research

∙ 11/16/2020

Teaching Key Machine Learning Principles Using Anti-learning Datasets

Much of the teaching of machine learning focuses on iterative hill-climb...

0 Chris Roadknight, et al. ∙

research

∙ 11/16/2020

A method for evaluating options for motif detection in electricity meter data

Investigation of household electricity usage patterns, and matching the ...

0 Ian Dent, et al. ∙

research

∙ 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...

0 Uwe Aickelin, et al. ∙

research

∙ 11/16/2020

Fuzzy C-means-based scenario bundling for stochastic service network design

Stochastic service network designs with uncertain demand represented by ...

0 Xiaoping Jiang, et al. ∙

research

∙ 11/16/2020

Measuring agreement on linguistic expressions in medical treatment scenarios

Quality of life assessment represents a key process of deciding treatmen...

0 J Navrro, et al. ∙

research

∙ 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...

0 Hadi A. Khorshidi, et al. ∙

research

∙ 05/18/2020

Information-theoretic analysis for transfer learning

Transfer learning, or domain adaptation, is concerned with machine learn...

0 Xuetong Wu, et al. ∙

research

∙ 06/04/2017

CRNN: A Joint Neural Network for Redundancy Detection

This paper proposes a novel framework for detecting redundancy in superv...

0 Xinyu Fu, et al. ∙

research

∙ 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...

0 Polla Fattah, et al. ∙

research

∙ 08/05/2016

Self-Organising Maps in Computer Security

Some argue that biologically inspired algorithms are the future of solvi...

0 Jan Feyereisl, et al. ∙

research

∙ 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...

0 Jenna Marie Reps, et al. ∙

research

∙ 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...

0 Javier Navarro, et al. ∙

research

∙ 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...

0 Javier Navarro, et al. ∙

research

∙ 07/20/2016

Optimising Rule-Based Classification in Temporal Data

This study optimises manually derived rule-based expert system classific...

0 Polla Fattah, et al. ∙

research

∙ 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...

0 Tao Zhang, et al. ∙

research

∙ 07/20/2016

Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams

Uncertain data streams have been widely generated in many Web applicatio...

0 Jiangang Ma, et al. ∙

research

∙ 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...

0 Jenna M. Reps, et al. ∙

research

∙ 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...

0 Grazziela P. Figueredo, et al. ∙

research

∙ 07/20/2016

Indebted households profiling: a knowledge discovery from database approach

A major challenge in consumer credit risk portfolio management is to cla...

0 Rodrigo Scarpel, et al. ∙

research

∙ 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...

0 Jenna Reps, et al. ∙

research

∙ 07/20/2016

Modelling Office Energy Consumption: An Agent Based Approach

In this paper, we develop an agent-based model which integrates four imp...

0 Tao Zhang, et al. ∙

research

∙ 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...

0 Xinyu Fu, et al. ∙

research

∙ 09/03/2014

Augmented Neural Networks for Modelling Consumer Indebtness

Consumer Debt has risen to be an important problem of modern societies, ...

0 Alexandros Ladas, et al. ∙

research

∙ 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...

0 Josie McCulloch, et al. ∙

research

∙ 09/03/2014

A Fuzzy Directional Distance Measure

The measure of distance between two fuzzy sets is a fundamental tool wit...

0 Josie C. McCullochy, et al. ∙

research

∙ 08/23/2013

Artificial Immune Systems (INTROS 2)

The biological immune system is a robust, complex, adaptive system that ...

0 Uwe Aickelin, et al. ∙

Uwe Aickelin

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