Document Identification by Shallow Semantic Analysis. - Abdelhamid Bouchachia; Roland T. Mittermeir; Heinz Pozewaunig (NLDB, 2000)

Distributed Data Clustering. - Abdelhamid Bouchachia (CAiSE Short Paper Proceedings, 2003)

A Semi-supervised Clutsering Algorithm for Data Exploration. - Abdelhamid Bouchachia; Witold Pedrycz (IFSA, 2003)

A neural cascade architecture for document retrieval. - Abdelhamid Bouchachia; Roland T. Mittermeir (IJCNN, 2003)

Multiple Instance Learning with Radial Basis Function Neural Networks. - Abdelhamid Bouchachia (ICONIP, 2004)

On the Scarcity of Labeled Data. - Abdelhamid Bouchachia (CIMCA/IAWTIC, 2005)

Learning with Hybrid Data. - Abdelhamid Bouchachia (HIS, 2005)

Searching XML Documents - Preliminary Work. - Marcus Hassler; Abdelhamid Bouchachia (INEX, 2005)

Incremental Learning By Decomposition. - Abdelhamid Bouchachia (ICMLA, 2006)

Learning with Incrementality. - Abdelhamid Bouchachia (ICONIP (1), 2006)

Reverse Engineering of Rule-based Systems. - Abdelhamid Bouchachia; Daniel Wakounig (SEKE, 2006)

Data Clustering with Partial Supervision. - Abdelhamid Bouchachia; Witold Pedrycz (Data Min. Knowl. Discov., 2006)

Enhancement of fuzzy clustering by mechanisms of partial supervision. - Abdelhamid Bouchachia; Witold Pedrycz (Fuzzy Sets Syst., 2006)

Classification of XML Documents. - Abdelhamid Bouchachia; Marcus Hassler (CIDM, 2007)

Overview of Some Incremental Learning Algorithms. - Abdelhamid Bouchachia; Bogdan Gabrys; Zoheir Sahel (FUZZ-IEEE, 2007)

An Immune Genetic Algorithm for Software Test Data Generation. - Abdelhamid Bouchachia (HIS, 2007)

Adaptive Mechanisms for Classification Problems with Drifting Data. - Zoheir Sahel; Abdelhamid Bouchachia; Bogdan Gabrys; Paul Rogers (KES (2), 2007)

Learning with partly labeled data. - Abdelhamid Bouchachia (Neural Comput. Appl., 2007)

Towards Incremental Fuzzy Classifiers. - Abdelhamid Bouchachia; Roland T. Mittermeir (Soft Comput., 2007)

Ant colony optimization for Steiner tree problems. - Markus Prossegger; Abdelhamid Bouchachia (CSTST, 2008)

A Bi-Clustering Agent-based Approach for Map Segmentation. - Abdelhamid Bouchachia; Markus Prossegger (IEEE IA, 2009)

Radial Basis Function Nets for Time Series Prediction. - Abdelhamid Bouchachia (Int. J. Comput. Intell. Syst., 2009)

Computational Intelligence Applied to Nonlinear Dynamics and Synchronization. - Abdelhamid Bouchachia; Kyandoghere Kyamakya (Int. J. Comput. Intell. Syst., 2009)

Incremental Learning. - Abdelhamid Bouchachia (Encyclopedia of Data Warehousing and Mining, 2009)

Learning with Partial Supervision. - Abdelhamid Bouchachia (Encyclopedia of Data Warehousing and Mining, 2009)

Adaptation in Classification Systems. - Abdelhamid Bouchachia (Foundations of Computational Intelligence (2), 2009)

Semi-supervised incremental learning. - Abdelhamid Bouchachia; Markus Prossegger; Hakan Duman (FUZZ-IEEE, 2010)

Nature-inspired techniques for conformance testing of object-oriented software. - Abdelhamid Bouchachia; Roland T. Mittermeir; P. Sielecky; S. Stafiej; M. Zieminski (Appl. Soft Comput., 2010)

An evolving classification cascade with self-learning. - Abdelhamid Bouchachia (Evol. Syst., 2010)

Incremental Semi-automatic Correction of Misclassified Spatial Objects. - Markus Prossegger; Abdelhamid Bouchachia (ICAIS, 2011)

Incremental Learning Based on Growing Gaussian Mixture Models. - Abdelhamid Bouchachia; Charlie Vanaret (ICMLA (2), 2011)

A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application. - Abdelhamid Bouchachia; Markus Prossegger (Appl. Soft Comput., 2011)

Ubiquitous Mobile Health Monitoring System for Elderly (UMHMSE) - Abderrahim Bourouis; Mohammed Feham; Abdelhamid Bouchachia (CoRR, 2011)

Incremental learning with multi-level adaptation. - Abdelhamid Bouchachia (Neurocomputing, 2011)

Adaptive incremental learning in neural networks. - Abdelhamid Bouchachia; Nadia Nedjah (Neurocomputing, 2011)

Editorial: Dedicated Hardware for Neural and Fuzzy Systems. - Nadia Nedjah; Abdelhamid Bouchachia; Luiza de Macedo Mourelle (J. Circuits Syst. Comput., 2011)

Fuzzy classification in dynamic environments. - Abdelhamid Bouchachia (Soft Comput., 2011)

Automatic Identification of Crisis-Related Sub-events Using Clustering. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (ICMLA (2), 2012)

Neurodynamical Top-Down Processing during Auditory Attention. - Emili Balaguer-Ballester; Abdelhamid Bouchachia; Beibei Jiang; Susan L. Denham (ICONIP (2), 2012)

Supporting Crisis Management via Sub-event Detection in Social Networks. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (WETICE, 2012)

Automatic sub-event detection in emergency management using social media. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (WWW (Companion Volume), 2012)

A New Architecture of a Ubiquitous Health Monitoring System: A Prototype Of Cloud Mobile Health Monitoring System - Abderrahim Bourouis; Mohammed Feham; Abdelhamid Bouchachia (CoRR, 2012)

Dynamic Clustering. - Abdelhamid Bouchachia (Evol. Syst., 2012)

Introduction to the special section on self-adaptive systems: Models and algorithms. - Abdelhamid Bouchachia; Nadia Nedjah (ACM Trans. Auton. Adapt. Syst., 2012)

M-Health: Skin Disease Analysis System Using Smartphone's Camera. - Abderrahim Bourouis; Ali Zerdazi; Mohammed Feham; Abdelhamid Bouchachia (ANT/SEIT, 2013)

Online Processing of Social Media Data for Emergency Management. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (ICMLA (1), 2013)

An Empirical Investigation of Virtual Screening. - Amir Ali Rafati-Afshar; Abdelhamid Bouchachia (SMC, 2013)

Supporting Crisis Management via Detection of Sub-Events in Social Networks. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (Int. J. Inf. Syst. Crisis Response Manag., 2013)

Editorial of the special issue: Online fuzzy machine learning and data mining. - Abdelhamid Bouchachia; Edwin Lughofer; Daniel Sánchez 001 (Inf. Sci., 2013)

DELA: A Dynamic Online Ensemble Learning Algorithm. - Hamid Bouchachia; Emili Balaguer-Ballester (ESANN, 2014)

Multi-resident Activity Recognition Using Incremental Decision Trees. - Markus Prossegger; Abdelhamid Bouchachia (ICAIS, 2014)

Self-learning recursive neural networks for structured data classification. - Abdelhamid Bouchachia; Alexander Ortner (IJCNN, 2014)

Special Issue: Evolving Soft Computing Techniques and Applications. - Abdelhamid Bouchachia; Edwin Lughofer; Moamar Sayed-Mouchaweh (Appl. Soft Comput., 2014)

A survey on concept drift adaptation. - João Gama 001; Indre Zliobaite; Albert Bifet; Mykola Pechenizkiy; Abdelhamid Bouchachia (ACM Comput. Surv., 2014)

Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms. - Abdelhamid Bouchachia; Arthur Lena; Charlie Vanaret (Evol. Syst., 2014)

Online data processing. - Abdelhamid Bouchachia (Neurocomputing, 2014)

GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier. - Abdelhamid Bouchachia; Charlie Vanaret (IEEE Trans. Fuzzy Syst., 2014)

Keynote speaker 1: Active online learning. - Abdelhamid Bouchachia (EAIS, 2015)

A non-parametric hierarchical clustering model. - Saad Mohamad; Abdelhamid Bouchachia; Moamar Sayed-Mouchaweh (EAIS, 2015)

Smart Homes Design for People with Dementia. - Mohsen Amiribesheli; Abdelhamid Bouchachia (Intelligent Environments, 2015)

A review of smart homes in healthcare. - Mohsen Amiribesheli; Asma Benmansour; Abdelhamid Bouchachia (J. Ambient Intell. Humaniz. Comput., 2015)

Social media for crisis management: clustering approaches for sub-event detection. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (Multim. Tools Appl., 2015)

Information Propagation in Social Networks During Crises: A Structural Framework. - Daniela Pohl; Abdelhamid Bouchachia (Propagation Phenomena in Real World Networks, 2015)

A Principle-Based Transparency Framework for Intelligent Environments. - Mohsen Amiribesheli; Mahmood Hosseini; Hamid Bouchachia (BCS HCI, 2016)

Human-Centred Design for Intelligent Environments. - Hamid Bouchachia; Huseyin Dogan; Nan Jiang; Stephen Giff (BCS HCI, 2016)

A Literature Review on the Design of Smart Homes for People with Dementia Using a User-Centred Design Approach. - Parisa Raei; Abdelhamid Bouchachia (BCS HCI, 2016)

Towards Dementia-Friendly Smart Homes. - Mohsen Amiribesheli; Abdelhamid Bouchachia (COMPSAC, 2016)

An Incremental Approach for Real-Time Big Data Visual Analytics. - Ignacio Garcia; Ruben Casado; Abdelhamid Bouchachia (FiCloud Workshops, 2016)

Effective Live Cloud Migration. - Ibrahim Ejdayid A. Mansour; Kendra M. L. Cooper; Hamid Bouchachia (FiCloud, 2016)

Aggregation Algorithm vs. Average For Time Series Prediction. - Waqas Jamil; Yuri Kaliniskan; Hamid Bouchachia (STREAMEVOLV@ECML-PKDD, 2016)

Active Learning for Data Streams Under Concept Drift and Concept Evolution. - Saad Mohamad; Moamar Sayed-Mouchaweh; Abdelhamid Bouchachia (STREAMEVOLV@ECML-PKDD, 2016)

Multioccupant Activity Recognition in Pervasive Smart Home Environments. - Asma Benmansour; Abdelhamid Bouchachia; Mohammed Feham (ACM Comput. Surv., 2016)

Online indexing and clustering of social media data for emergency management. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (Neurocomputing, 2016)

Exploring Live Cloud Migration on Amazon EC2. - Ibrahim Ejdayid A. Mansour; Hamid Bouchachia; Kendra M. L. Cooper (FiCloud, 2017)

Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks. - Damla Arifoglu; Abdelhamid Bouchachia (FNC/MobiSPC, 2017)

Activity recognition for indoor fall detection using convolutional neural network. - Kripesh Adhikari; Hamid Bouchachia; Hammadi Nait-Charif (MVA, 2017)

Modeling interaction in multi-resident activities. - Asma Benmansour; Abdelhamid Bouchachia; Mohammed Feham (Neurocomputing, 2017)

MSAFIS: an evolving fuzzy inference system. - José de Jesús Rubio; Abdelhamid Bouchachia (Soft Comput., 2017)

Scalable online learning for flink: SOLMA library. - Waqas Jamil; N.-C. Duong; W. Wang; Chemseddine Mansouri; Saad Mohamad; Abdelhamid Bouchachia (ECSA (Companion), 2018)

Model Selection in Online Learning for Times Series Forecasting. - Waqas Jamil; Abdelhamid Bouchachia (UKCI, 2018)

Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data. - Saad Mohamad; Damla Arifoglu; Chemseddine Mansouri; Abdelhamid Bouchachia (UKCI, 2018)

Batch-based active learning: Application to social media data for crisis management. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (Expert Syst. Appl., 2018)

A tailored smart home for dementia care. - Mohsen Amiribesheli; Hamid Bouchachia (J. Ambient Intell. Humaniz. Comput., 2018)

Active learning for classifying data streams with unknown number of classes. - Saad Mohamad; Moamar Sayed-Mouchaweh; Abdelhamid Bouchachia (Neural Networks, 2018)

A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams. - Saad Mohamad; Abdelhamid Bouchachia; Moamar Sayed-Mouchaweh (IEEE Trans. Neural Networks Learn. Syst., 2018)

Long short-term memory networks based fall detection using unified pose estimation. - Kripesh Adhikari; Hamid Bouchachia; Hammadi Nait-Charif (ICMV, 2019)

Asynchronous Stochastic Variational Inference. - Saad Mohamad; Abdelhamid Bouchachia; Moamar Sayed-Mouchaweh (INNSBDDL, 2019)

Abnormal Behaviour Detection for Dementia Sufferers via Transfer Learning and Recursive Auto-Encoders. - Damla Arifoglu; Abdelhamid Bouchachia (PerCom Workshops, 2019)

Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks. - Damla Arifoglu; Abdelhamid Bouchachia (Artif. Intell. Medicine, 2019)

Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization. - Adrian Galdran; Hamid Bouchachia (ICIAR (2), 2020)

Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. - Saad Mohamad; Abdelhamid Bouchachia (ICMLA, 2020)

Detecting indicators of cognitive impairment via Graph Convolutional Networks. - Damla Arifoglu; Hammadi Nait-Charif; Abdelhamid Bouchachia (Eng. Appl. Artif. Intell., 2020)

Competitive regularised regression. - Waqas Jamil; Abdelhamid Bouchachia (Neurocomputing, 2020)

Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data. - Saad Mohamad; Abdelhamid Bouchachia (Neurocomputing, 2020)

Online active learning for human activity recognition from sensory data streams. - Saad Mohamad; Moamar Sayed-Mouchaweh; Abdelhamid Bouchachia (Neurocomputing, 2020)

Online Bayesian shrinkage regression. - Waqas Jamil; Abdelhamid Bouchachia (Neural Comput. Appl., 2020)

Active Online Learning for Social Media Analysis to Support Crisis Management. - Daniela Pohl; Abdelhamid Bouchachia; Hermann Hellwagner (IEEE Trans. Knowl. Data Eng., 2020)

Toward Building Science Discovery Machines. - Abdullah Khalili; Abdelhamid Bouchachia (CoRR, 2021)

An Information Theory Approach to Aesthetic Assessment of Visual Patterns. - Abdullah Khalili; Hamid Bouchachia (Entropy, 2021)

LNDb challenge on automatic lung cancer patient management. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Gurraj Atwal; Hady Ahmady Phoulady; Xiaoyu Chen; Rongzhen Chen; Jiaoliang Li; Liansheng Wang; Adrian Galdran; Hamid Bouchachia; Krishna Chaitanya Kaluva; et al. (Medical Image Anal., 2021)

Detection of Dementia-Related Abnormal Behaviour Using Recursive Auto-Encoders. - Damla Arifoglu; Yan Wang 064; Abdelhamid Bouchachia (Sensors, 2021)

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies. - Kyandoghere Kyamakya; Fadi Al Machot; Ahmad Haj Mosa; Hamid Bouchachia; Jean Chamberlain Chedjou; Antoine B. Bagula (Sensors, 2021)

Competitive Normalized Least-Squares Regression. - Waqas Jamil; Abdelhamid Bouchachia (IEEE Trans. Neural Networks Learn. Syst., 2021)

Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost. - Abdullah Khalili; Abdelhamid Bouchachia (CoRR, 2022)

Scaling up stochastic gradient descent for non-convex optimisation. - Saad Mohamad; Hamad Alamri; Abdelhamid Bouchachia (Mach. Learn., 2022)

Iterative ridge regression using the aggregating algorithm. - Waqas Jamil; Abdelhamid Bouchachia (Pattern Recognit. Lett., 2022)

Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems. - Mohammed Elmahdi Khennour; Abdelhamid Bouchachia; Mohammed Lamine Kherfi; Khadra Bouanane (Neural Comput. Appl., 2023)

Adapting Random Simple Recurrent Network for Online Forecasting Problems. - Mohammed Elmahdi Khennour; Abdelhamid Bouchachia; Mohammed Lamine Kherfi; Khadra Bouanane; Oussama Aiadi (EAIS, 2024)

Smart Battery Circularity: Towards Achieving Climate-Neutral Electrification. - Koteshwar Chirumalla; Erik Dahlquist; Moris Behnam; Kristian Sandström; Martin Kurdve; Anas Fattouh; Ignat Kulkov; Ioana Stefan; Hamid Bouchachia (APMS (1), 2024)

Unified embedding and clustering. - Mebarka Allaoui; Mohammed Lamine Kherfi; Abdelhakim Cheriet; Abdelhamid Bouchachia (Expert Syst. Appl., 2024)