Abdelhamid Bouchachia

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 38

Top Topics

Convex Optimisation

Ridge Regression

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Mebarka Allaoui, Mohammed Lamine Kherfi, Abdelhakim Cheriet, Abdelhamid Bouchachia
Unified embedding and clustering. Expert Syst. Appl. 238 (Part E) (2024)
Mohammed Elmahdi Khennour, Abdelhamid Bouchachia, Mohammed Lamine Kherfi, Khadra Bouanane, Oussama Aiadi
Adapting Random Simple Recurrent Network for Online Forecasting Problems. EAIS (2024)
Mohammed Elmahdi Khennour, Abdelhamid Bouchachia, Mohammed Lamine Kherfi, Khadra Bouanane
Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems. Neural Comput. Appl. 35 (27) (2023)
Saad Mohamad, Hamad Alamri, Abdelhamid Bouchachia
Scaling up stochastic gradient descent for non-convex optimisation. Mach. Learn. 111 (11) (2022)
Abdullah Khalili, Abdelhamid Bouchachia
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost. CoRR (2022)
Saad Mohamad, Hamad Alamri, Abdelhamid Bouchachia
Scaling up Stochastic Gradient Descent for Non-convex Optimisation. CoRR (2022)
Waqas Jamil, Abdelhamid Bouchachia
Iterative ridge regression using the aggregating algorithm. Pattern Recognit. Lett. 158 (2022)
Damla Arifoglu, Yan Wang, Abdelhamid Bouchachia
Detection of Dementia-Related Abnormal Behaviour Using Recursive Auto-Encoders. Sensors 21 (1) (2021)
Waqas Jamil, Abdelhamid Bouchachia
Competitive Normalized Least-Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Abdullah Khalili, Abdelhamid Bouchachia
Toward Building Science Discovery Machines. CoRR (2021)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Active Online Learning for Social Media Analysis to Support Crisis Management. IEEE Trans. Knowl. Data Eng. 32 (8) (2020)
Waqas Jamil, Abdelhamid Bouchachia
Online Bayesian shrinkage regression. Neural Comput. Appl. 32 (23) (2020)
Waqas Jamil, Abdelhamid Bouchachia
Competitive regularised regression. Neurocomputing 390 (2020)
Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia
Online active learning for human activity recognition from sensory data streams. Neurocomputing 390 (2020)
Saad Mohamad, Abdelhamid Bouchachia
Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data. Neurocomputing 390 (2020)
Saad Mohamad, Abdelhamid Bouchachia
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. ICMLA (2020)
Damla Arifoglu, Hammadi Nait-Charif, Abdelhamid Bouchachia
Detecting indicators of cognitive impairment via Graph Convolutional Networks. Eng. Appl. Artif. Intell. 89 (2020)
Damla Arifoglu, Abdelhamid Bouchachia
Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks. Artif. Intell. Medicine 94 (2019)
Damla Arifoglu, Abdelhamid Bouchachia
Abnormal Behaviour Detection for Dementia Sufferers via Transfer Learning and Recursive Auto-Encoders. PerCom Workshops (2019)
Waqas Jamil, Abdelhamid Bouchachia
Online Bayesian Shrinkage Regression. ESANN (2019)
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh
Asynchronous Stochastic Variational Inference. INNSBDDL (2019)
Saad Mohamad, Abdelhamid Bouchachia
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. CoRR (2019)
Waqas Jamil, Abdelhamid Bouchachia
Model Selection in Online Learning for Times Series Forecasting. UKCI (2018)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Batch-based active learning: Application to social media data for crisis management. Expert Syst. Appl. 93 (2018)
Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia
Active learning for classifying data streams with unknown number of classes. Neural Networks 98 (2018)
Saad Mohamad, Damla Arifoglu, Chemseddine Mansouri, Abdelhamid Bouchachia
Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data. UKCI (2018)
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh
Asynchronous Stochastic Variational Inference. CoRR (2018)
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29 (1) (2018)
Waqas Jamil, N.-C. Duong, W. Wang, Chemseddine Mansouri, Saad Mohamad, Abdelhamid Bouchachia
Scalable online learning for flink: SOLMA library. ECSA (Companion) (2018)
José de Jesús Rubio, Abdelhamid Bouchachia
MSAFIS: an evolving fuzzy inference system. Soft Comput. 21 (9) (2017)
Damla Arifoglu, Abdelhamid Bouchachia
Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks. FNC/MobiSPC (2017)
Asma Benmansour, Abdelhamid Bouchachia, Mohammed Feham
Modeling interaction in multi-resident activities. Neurocomputing 230 (2017)
Mohsen Amiribesheli, Abdelhamid Bouchachia
Towards Dementia-Friendly Smart Homes. COMPSAC (2016)
Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia
Active Learning for Data Streams Under Concept Drift and Concept Evolution. STREAMEVOLV@ECML-PKDD (2016)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Online indexing and clustering of social media data for emergency management. Neurocomputing 172 (2016)
Ignacio Garcia, Ruben Casado, Abdelhamid Bouchachia
An Incremental Approach for Real-Time Big Data Visual Analytics. FiCloud Workshops (2016)
Asma Benmansour, Abdelhamid Bouchachia, Mohammed Feham
Multioccupant Activity Recognition in Pervasive Smart Home Environments. ACM Comput. Surv. 48 (3) (2016)
Parisa Raei, Abdelhamid Bouchachia
A Literature Review on the Design of Smart Homes for People with Dementia Using a User-Centred Design Approach. BCS HCI (2016)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Social media for crisis management: clustering approaches for sub-event detection. Multim. Tools Appl. 74 (11) (2015)
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh
A non-parametric hierarchical clustering model. EAIS (2015)
Mohsen Amiribesheli, Asma Benmansour, Abdelhamid Bouchachia
A review of smart homes in healthcare. J. Ambient Intell. Humaniz. Comput. 6 (4) (2015)
Mohsen Amiribesheli, Abdelhamid Bouchachia
Smart Homes Design for People with Dementia. Intelligent Environments (2015)
Abdelhamid Bouchachia
Keynote speaker 1: Active online learning. EAIS (2015)
Abdelhamid Bouchachia
Online data processing. Neurocomputing 126 (2014)
João Gama, Indre Zliobaite, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia
A survey on concept drift adaptation. ACM Comput. Surv. 46 (4) (2014)
Abdelhamid Bouchachia, Charlie Vanaret
GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 22 (4) (2014)
Abdelhamid Bouchachia, Alexander Ortner
Self-learning recursive neural networks for structured data classification. IJCNN (2014)
Abdelhamid Bouchachia, Edwin Lughofer, Moamar Sayed Mouchaweh
Special Issue: Evolving Soft Computing Techniques and Applications. Appl. Soft Comput. 14 (2014)
Markus Prossegger, Abdelhamid Bouchachia
Multi-resident Activity Recognition Using Incremental Decision Trees. ICAIS (2014)
Abdelhamid Bouchachia, Arthur Lena, Charlie Vanaret
Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms. Evol. Syst. 5 (3) (2014)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Supporting Crisis Management via Detection of Sub-Events in Social Networks. Int. J. Inf. Syst. Crisis Response Manag. 5 (3) (2013)
Abdelhamid Bouchachia, Edwin Lughofer, Daniel Sánchez
Editorial of the special issue: Online fuzzy machine learning and data mining. Inf. Sci. 220 (2013)
Abderrahim Bourouis, Ali Zerdazi, Mohammed Feham, Abdelhamid Bouchachia
M-Health: Skin Disease Analysis System Using Smartphone's Camera. ANT/SEIT (2013)
Amir Ali Rafati-Afshar, Abdelhamid Bouchachia
An Empirical Investigation of Virtual Screening. SMC (2013)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Online Processing of Social Media Data for Emergency Management. ICMLA (1) (2013)
Abdelhamid Bouchachia
Dynamic Clustering. Evol. Syst. 3 (3) (2012)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Automatic Identification of Crisis-Related Sub-events Using Clustering. ICMLA (2) (2012)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Automatic sub-event detection in emergency management using social media. WWW (Companion Volume) (2012)
Abderrahim Bourouis, Mohammed Feham, Abdelhamid Bouchachia
A New Architecture of a Ubiquitous Health Monitoring System: A Prototype Of Cloud Mobile Health Monitoring System CoRR (2012)
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Supporting Crisis Management via Sub-event Detection in Social Networks. WETICE (2012)
Emili Balaguer-Ballester, Abdelhamid Bouchachia, Beibei Jiang, Susan L. Denham
Neurodynamical Top-Down Processing during Auditory Attention. ICONIP (2) (2012)
Abdelhamid Bouchachia, Nadia Nedjah
Introduction to the special section on self-adaptive systems: Models and algorithms. ACM Trans. Auton. Adapt. Syst. 7 (1) (2012)
Abdelhamid Bouchachia, Charlie Vanaret
Incremental Learning Based on Growing Gaussian Mixture Models. ICMLA (2) (2011)
Nadia Nedjah, Abdelhamid Bouchachia, Luiza de Macedo Mourelle
Editorial: Dedicated Hardware for Neural and Fuzzy Systems. J. Circuits Syst. Comput. 20 (3) (2011)
Abdelhamid Bouchachia
Incremental learning with multi-level adaptation. Neurocomputing 74 (11) (2011)
Abdelhamid Bouchachia, Markus Prossegger
A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application. Appl. Soft Comput. 11 (8) (2011)
Abdelhamid Bouchachia, Nadia Nedjah
Adaptive incremental learning in neural networks. Neurocomputing 74 (11) (2011)
Abderrahim Bourouis, Mohammed Feham, Abdelhamid Bouchachia
Ubiquitous Mobile Health Monitoring System for Elderly (UMHMSE) CoRR (2011)
Abdelhamid Bouchachia
Fuzzy classification in dynamic environments. Soft Comput. 15 (5) (2011)
Markus Prossegger, Abdelhamid Bouchachia
Incremental Semi-automatic Correction of Misclassified Spatial Objects. ICAIS (2011)
Abdelhamid Bouchachia, Roland T. Mittermeir, P. Sielecky, S. Stafiej, M. Zieminski
Nature-inspired techniques for conformance testing of object-oriented software. Appl. Soft Comput. 10 (3) (2010)
Abdelhamid Bouchachia, Markus Prossegger, Hakan Duman
Semi-supervised incremental learning. FUZZ-IEEE (2010)
Abdelhamid Bouchachia
An evolving classification cascade with self-learning. Evol. Syst. 1 (3) (2010)
Abdelhamid Bouchachia
Radial Basis Function Nets for Time Series Prediction. Int. J. Comput. Intell. Syst. 2 (2) (2009)
Abdelhamid Bouchachia, Kyandoghere Kyamakya
Computational Intelligence Applied to Nonlinear Dynamics and Synchronization. Int. J. Comput. Intell. Syst. 2 (2) (2009)
Abdelhamid Bouchachia, Markus Prossegger
A Bi-Clustering Agent-based Approach for Map Segmentation. IEEE IA (2009)
Markus Prossegger, Abdelhamid Bouchachia
Ant colony optimization for Steiner tree problems. CSTST (2008)
Abdelhamid Bouchachia
Learning with partly labeled data. Neural Comput. Appl. 16 (3) (2007)
Abdelhamid Bouchachia, Marcus Hassler
Classification of XML Documents. CIDM (2007)
Zoheir Sahel, Abdelhamid Bouchachia, Bogdan Gabrys, Paul Rogers
Adaptive Mechanisms for Classification Problems with Drifting Data. KES (2) (2007)
Abdelhamid Bouchachia, Bogdan Gabrys, Zoheir Sahel
Overview of Some Incremental Learning Algorithms. FUZZ-IEEE (2007)
Abdelhamid Bouchachia
An Immune Genetic Algorithm for Software Test Data Generation. HIS (2007)
Abdelhamid Bouchachia, Roland T. Mittermeir
Towards Incremental Fuzzy Classifiers. Soft Comput. 11 (2) (2007)
Abdelhamid Bouchachia
Learning with Incrementality. ICONIP (1) (2006)
Abdelhamid Bouchachia, Witold Pedrycz
Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets Syst. 157 (13) (2006)
Abdelhamid Bouchachia
Incremental Learning By Decomposition. ICMLA (2006)
Abdelhamid Bouchachia, Daniel Wakounig
Reverse Engineering of Rule-based Systems. SEKE (2006)
Abdelhamid Bouchachia, Witold Pedrycz
Data Clustering with Partial Supervision. Data Min. Knowl. Discov. 12 (1) (2006)
Abdelhamid Bouchachia
On the Scarcity of Labeled Data. CIMCA/IAWTIC (2005)
Marcus Hassler, Abdelhamid Bouchachia
Searching XML Documents - Preliminary Work. INEX (2005)
Abdelhamid Bouchachia
Learning with Hybrid Data. HIS (2005)
Abdelhamid Bouchachia
Multiple Instance Learning with Radial Basis Function Neural Networks. ICONIP (2004)
Abdelhamid Bouchachia, Witold Pedrycz
A Semi-supervised Clutsering Algorithm for Data Exploration. IFSA (2003)
Abdelhamid Bouchachia
Distributed Data Clustering. CAiSE Short Paper Proceedings (2003)
Abdelhamid Bouchachia, Roland T. Mittermeir, Heinz Pozewaunig
Document Identification by Shallow Semantic Analysis. NLDB (2000)