Abdelhamid Bouchachia

Orcid: 0000-0002-1980-5517

Affiliations:
  • Bournemouth University, UK


According to our database1, Abdelhamid Bouchachia authored at least 109 papers between 2000 and 2024.

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Bibliography

2024
Unified embedding and clustering.
Expert Syst. Appl., March, 2024

Smart Battery Circularity: Towards Achieving Climate-Neutral Electrification.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024

Adapting Random Simple Recurrent Network for Online Forecasting Problems.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems.
Neural Comput. Appl., September, 2023

2022
Iterative ridge regression using the aggregating algorithm.
Pattern Recognit. Lett., 2022

Scaling up stochastic gradient descent for non-convex optimisation.
Mach. Learn., 2022

Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost.
CoRR, 2022

2021
Competitive Normalized Least-Squares Regression.
IEEE Trans. Neural Networks Learn. Syst., 2021

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies.
Sensors, 2021

Detection of Dementia-Related Abnormal Behaviour Using Recursive Auto-Encoders.
Sensors, 2021

LNDb challenge on automatic lung cancer patient management.
Medical Image Anal., 2021

An Information Theory Approach to Aesthetic Assessment of Visual Patterns.
Entropy, 2021

Toward Building Science Discovery Machines.
CoRR, 2021

2020
Active Online Learning for Social Media Analysis to Support Crisis Management.
IEEE Trans. Knowl. Data Eng., 2020

Online Bayesian shrinkage regression.
Neural Comput. Appl., 2020

Online active learning for human activity recognition from sensory data streams.
Neurocomputing, 2020

Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data.
Neurocomputing, 2020

Competitive regularised regression.
Neurocomputing, 2020

Detecting indicators of cognitive impairment via Graph Convolutional Networks.
Eng. Appl. Artif. Intell., 2020

Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

2019
Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks.
Artif. Intell. Medicine, 2019

Abnormal Behaviour Detection for Dementia Sufferers via Transfer Learning and Recursive Auto-Encoders.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Asynchronous Stochastic Variational Inference.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Long short-term memory networks based fall detection using unified pose estimation.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

2018
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2018

Active learning for classifying data streams with unknown number of classes.
Neural Networks, 2018

A tailored smart home for dementia care.
J. Ambient Intell. Humaniz. Comput., 2018

Batch-based active learning: Application to social media data for crisis management.
Expert Syst. Appl., 2018

Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Model Selection in Online Learning for Times Series Forecasting.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Scalable online learning for flink: SOLMA library.
Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, 2018

2017
MSAFIS: an evolving fuzzy inference system.
Soft Comput., 2017

Modeling interaction in multi-resident activities.
Neurocomputing, 2017

Activity recognition for indoor fall detection using convolutional neural network.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks.
Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017

Exploring Live Cloud Migration on Amazon EC2.
Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017

2016
Online indexing and clustering of social media data for emergency management.
Neurocomputing, 2016

Multioccupant Activity Recognition in Pervasive Smart Home Environments.
ACM Comput. Surv., 2016

Active Learning for Data Streams Under Concept Drift and Concept Evolution.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

Aggregation Algorithm vs. Average For Time Series Prediction.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

Effective Live Cloud Migration.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud, 2016

An Incremental Approach for Real-Time Big Data Visual Analytics.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud Workshops, 2016

Towards Dementia-Friendly Smart Homes.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

A Literature Review on the Design of Smart Homes for People with Dementia Using a User-Centred Design Approach.
Proceedings of the HCI 2016, 2016

Human-Centred Design for Intelligent Environments.
Proceedings of the HCI 2016, 2016

A Principle-Based Transparency Framework for Intelligent Environments.
Proceedings of the HCI 2016, 2016

2015
Information Propagation in Social Networks During Crises: A Structural Framework.
Proceedings of the Propagation Phenomena in Real World Networks, 2015

Social media for crisis management: clustering approaches for sub-event detection.
Multim. Tools Appl., 2015

A review of smart homes in healthcare.
J. Ambient Intell. Humaniz. Comput., 2015

Smart Homes Design for People with Dementia.
Proceedings of the 2015 International Conference on Intelligent Environments, 2015

A non-parametric hierarchical clustering model.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Keynote speaker 1: Active online learning.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014
GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier.
IEEE Trans. Fuzzy Syst., 2014

Online data processing.
Neurocomputing, 2014

Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms.
Evol. Syst., 2014

A survey on concept drift adaptation.
ACM Comput. Surv., 2014

Special Issue: Evolving Soft Computing Techniques and Applications.
Appl. Soft Comput., 2014

Self-learning recursive neural networks for structured data classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-resident Activity Recognition Using Incremental Decision Trees.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

DELA: A Dynamic Online Ensemble Learning Algorithm.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Editorial of the special issue: Online fuzzy machine learning and data mining.
Inf. Sci., 2013

Supporting Crisis Management via Detection of Sub-Events in Social Networks.
Int. J. Inf. Syst. Crisis Response Manag., 2013

An Empirical Investigation of Virtual Screening.
Proceedings of the IEEE International Conference on Systems, 2013

Online Processing of Social Media Data for Emergency Management.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

M-Health: Skin Disease Analysis System Using Smartphone's Camera.
Proceedings of the 4th International Conference on Ambient Systems, 2013

2012
Introduction to the special section on self-adaptive systems: Models and algorithms.
ACM Trans. Auton. Adapt. Syst., 2012

Dynamic Clustering.
Evol. Syst., 2012

A New Architecture of a Ubiquitous Health Monitoring System: A Prototype Of Cloud Mobile Health Monitoring System
CoRR, 2012

Automatic sub-event detection in emergency management using social media.
Proceedings of the 21st World Wide Web Conference, 2012

Supporting Crisis Management via Sub-event Detection in Social Networks.
Proceedings of the 21st IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2012

Neurodynamical Top-Down Processing during Auditory Attention.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Automatic Identification of Crisis-Related Sub-events Using Clustering.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Fuzzy classification in dynamic environments.
Soft Comput., 2011

Editorial: Dedicated Hardware for Neural and Fuzzy Systems.
J. Circuits Syst. Comput., 2011

Adaptive incremental learning in neural networks.
Neurocomputing, 2011

Incremental learning with multi-level adaptation.
Neurocomputing, 2011

Ubiquitous Mobile Health Monitoring System for Elderly (UMHMSE)
CoRR, 2011

A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application.
Appl. Soft Comput., 2011

Incremental Learning Based on Growing Gaussian Mixture Models.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Incremental Semi-automatic Correction of Misclassified Spatial Objects.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

2010
An evolving classification cascade with self-learning.
Evol. Syst., 2010

Nature-inspired techniques for conformance testing of object-oriented software.
Appl. Soft Comput., 2010

Semi-supervised incremental learning.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Adaptation in Classification Systems.
Proceedings of the Foundations of Computational Intelligence, 2009

Learning with Partial Supervision.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Incremental Learning.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Computational Intelligence Applied to Nonlinear Dynamics and Synchronization.
Int. J. Comput. Intell. Syst., 2009

Radial Basis Function Nets for Time Series Prediction.
Int. J. Comput. Intell. Syst., 2009

A Bi-Clustering Agent-based Approach for Map Segmentation.
Proceedings of the IEEE Symposium on Intelligent Agents, IA 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009, 2009

2008
Ant colony optimization for Steiner tree problems.
Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008

2007
Towards Incremental Fuzzy Classifiers.
Soft Comput., 2007

Learning with partly labeled data.
Neural Comput. Appl., 2007

Adaptive Mechanisms for Classification Problems with Drifting Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

An Immune Genetic Algorithm for Software Test Data Generation.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Overview of Some Incremental Learning Algorithms.
Proceedings of the FUZZ-IEEE 2007, 2007

Classification of XML Documents.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Enhancement of fuzzy clustering by mechanisms of partial supervision.
Fuzzy Sets Syst., 2006

Data Clustering with Partial Supervision.
Data Min. Knowl. Discov., 2006

Reverse Engineering of Rule-based Systems.
Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006

Learning with Incrementality.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Incremental Learning By Decomposition.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

2005
Searching XML Documents - Preliminary Work.
Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

Learning with Hybrid Data.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

On the Scarcity of Labeled Data.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Multiple Instance Learning with Radial Basis Function Neural Networks.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
A Semi-supervised Clutsering Algorithm for Data Exploration.
Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

Distributed Data Clustering.
Proceedings of the 15th Conference on Advanced Information Systems Engineering (CAiSE '03), 2003

2000
Document Identification by Shallow Semantic Analysis.
Proceedings of the Natural Language Processing and Information Systems, 2000


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