On-line recognition of handwritten Arabic characters using a Kohonen neural network. - Neila Mezghani; Amar Mitiche; Mohamed Cheriet (IWFHR, 2002)

Combination of Pruned Kohonen Maps for On-line Arabic Characters Recognition. - Neila Mezghani; Mohamed Cheriet; Amar Mitiche (ICDAR, 2003)

On-line character recognition using histograms of features and an associative memory. - Neila Mezghani; Amar Mitiche; Mohamed Cheriet (ICASSP (5), 2004)

A new representation of character shape and its use in on-line character recognition by a self organizing map. - Neila Mezghani; Amar Mitiche; Mohamed Cheriet (ICIP, 2004)

A new representation of shape and its use for high performance in online Arabic character recognition by an associative memory. - Neila Mezghani; Amar Mitiche; Mohamed Cheriet (Int. J. Document Anal. Recognit., 2005)

A Gibbsian Kohonen Network for Online Arabic Character Recognition. - Neila Mezghani; Amar Mitiche (ISVC (2), 2008)

A computer-based classifier of three-dimensional spinal scoliosis severity. - Neila Mezghani; Ramnada Chav; Ludovic Humbert; Stefan Parent; Wafa Skalli; Jacques A. de Guise (Int. J. Comput. Assist. Radiol. Surg., 2008)

Bayes Classification of Online Arabic Characters by Gibbs Modeling of Class Conditional Densities. - Neila Mezghani; Amar Mitiche; Mohamed Cheriet (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Automatic Classification of Asymptomatic and Osteoarthritis Knee Gait Patterns Using Kinematic Data Features and the Nearest Neighbor Classifier. - Neila Mezghani; Sabine Husse; Karine Boivin; Katia Turcot; Rachid Aissaoui; Nicola Hagemeister; Jacques A. de Guise (IEEE Trans. Biomed. Eng., 2008)

A Computer-Aided Method for Scoliosis Fusion Level Selection by a Topologicaly Ordered Self Organizing Kohonen Network. - Neila Mezghani; Philippe Phan; Amar Mitiche; Hubert Labelle; Jacques A. de Guise (ICPR, 2010)

A Kohonen neural network description of scoliosis fused regions and their corresponding Lenke classification. - Neila Mezghani; Philippe Phan; Amar Mitiche; Hubert Labelle; Jacques A. de Guise (Int. J. Comput. Assist. Radiol. Surg., 2012)

Maximum Entropy Gibbs Density Modeling for Pattern Classification. - Neila Mezghani; Amar Mitiche; Mohamed Cheriet (Entropy, 2012)

An analysis of the transitions between mobile application usages based on markov chains. - Charles Gouin-Vallerand; Neila Mezghani (UbiComp Adjunct, 2014)

Towards the Identification of Players' Profiles Using Game's Data Analysis Based on Regression Model and Clustering. - Souhila Benmakrelouf; Neila Mezghani; Nadjia Kara (ASONAM, 2015)

Kinematic gait analysis of workers exposed to knee straining postures by Bayes decision rule. - Neila Mezghani; Nathaly Gaudreault; Amar Mitiche; Leila Ayoubian; Youssef Ouakrim; Nicola Hagemeister; Jacques A. de Guise (Artif. Intell. Res., 2015)

Data correction to determine a representative pattern of a set of 3D knee kinematic measurements. - Imen Mechmeche; Amar Mitiche; Youssef Ouakrim; Jacques A. de Guise; Neila Mezghani (EMBC, 2016)

Biomechanical signal classification of surgical and non-surgical candidates for knee arthroplasty. - Neila Mezghani; Mickel Dunbar; Youssef Ouakrim; Alexandre Fuentes; Amar Mitiche; S. Whynot; Glen Richardson (ISIVC, 2016)

Context aware adaptable approach for fall detection bases on smart textile. - Neila Mezghani; Youssef Ouakrim; Md. R. Islam; Rami Yared; Bessam Abdulrazak (BHI, 2017)

Knee Kinematics Feature Selection for Surgical and Nonsurgical Arthroplasty Candidate Characterization. - Mohamed Amine Ben Arous; Mickel Dunbar; Shaima Arfaoui; Amar Mitiche; Youssef Ouakrim; Alexandre Fuentes; Glen Richardson; Neila Mezghani (BIOSIGNALS, 2018)

Physiological Data Validation of the Hexoskin Smart Textile. - N. H. Cherif; Neila Mezghani; Nathaly Gaudreault; Youssef Ouakrim; I. Mouzoune; P. Boulay (BIODEVICES, 2018)

Driving Fatigue Characterization using Feature Ranking. - Khadidja Henni; Neila Mezghani; Charles Gouin-Vallerand; Perrine Ruer; Evelyne F. Vallières (ISIVC, 2018)

Comparative Study of Heart Rate Extraction Methods for a Novel Intelligent Mattress. - Samuel Otis; Neila Mezghani; Bessam Abdulrazak (ISIVC, 2018)

A Survey on sitting posture monitoring systems. - Ferdews Tlili; Rim Haddad; Youssef Ouakrim; Ridha Bouallegue; Neila Mezghani (ISIVC, 2018)

A variational method to determine the most representative shape of a set of curves and its application to knee kinematic data for pathology classification. - Badreddine Ben Nouma; Neila Mezghani; Amar Mitiche; Youssef Ouakrim (MedPRAI, 2018)

A survey on smart shoe insole systems. - Salma Saidani; Rim Haddad; Neila Mezghani; Ridha Bouallegue (SmartNets, 2018)

A Review on posture monitoring systems. - Ferdews Tlili; Rim Haddad; Youssef Ouakrim; Ridha Bouallegue; Neila Mezghani (SmartNets, 2018)

Posture recognition using an RGB-D camera : exploring 3D body modeling and deep learning approaches. - Mohamed El Amine Elforaici; Ismail Chaaraoui; Wassim Bouachir; Youssef Ouakrim; Neila Mezghani (CoRR, 2018)

Unsupervised graph-based feature selection via subspace and pagerank centrality. - Khadidja Henni; Neila Mezghani; Charles Gouin-Vallerand (Expert Syst. Appl., 2018)

Smart Mat for Respiratory Activity Detection: Study in a Clinical Setting. - Samuel Otis; Bessam Abdulrazak; Sofia Ben Jebara; Francois Tournoux; Neila Mezghani (ICOST, 2019)

Pattern Classification by the Hotelling Statistic and Application to Knee Osteoarthritis Kinematic Signals. - Badreddine Ben Nouma; Amar Mitiche; Youssef Ouakrim; Neila Mezghani (Mach. Learn. Knowl. Extr., 2019)

A Mobile Application for Physical Activity Recognition using Acceleration Data from Wearable Sensors for Cardiac Rehabilitation. - Mariem Chaari; Mariem Abid; Youssef Ouakrim; Mariam Lahami; Neila Mezghani (HEALTHINF, 2020)

Prediction of the Impact of Physical Exercise on Knee Osteoarthritis Patients using Kinematic Signal Analysis and Decision Trees. - M. Mezghani; Nicola Hagemeister; M. Kouki; Youssef Ouakrim; Alexandre Fuentes; Neila Mezghani (BIOSIGNALS, 2020)

Graphical-based multivariate analysis for knee joint clinical and kinematic data correlation assessment. - Fatima Bensalma; Glen Richardson; Youssef Ouakrim; Alexandre Fuentes; Michael Dunbar; Nicola Hagemeister; Neila Mezghani (EMBC, 2020)

Respiratory Activity Classification Based on Ballistocardiogram Analysis. - Mohamed Chiheb Ben Nasr; Sofia Ben Jebara; Samuel Otis; Bessam Abdulrazak; Neila Mezghani (ICOST, 2020)

Cluster Density Properties Define a Graph for Effective Pattern Feature Selection. - Khadidja Henni; Neila Mezghani; Amar Mitiche (IEEE Access, 2020)

Focal and Generalized Seizures Distinction by Rebalancing Class Data and Random Forest Classification. - Lina Abou-Abbas; Imene Jemal; Khadidja Henni; Amar Mitiche; Neila Mezghani (BIOMESIP, 2021)

An Effective Deep Neural Network Architecture for Cross-Subject Epileptic Seizure Detection in EEG Data. - Imene Jemal; Amar Mitiche; Lina Abou-Abbas; Khadidja Henni; Neila Mezghani (CECNet, 2021)

Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers. - Mariem Abid; Amal Khabou; Youssef Ouakrim; Hugo Watel; Safouene Chemcki; Amar Mitiche; Amel Benazza-Benyahia; Neila Mezghani (Sensors, 2021)

A Spectral-Based Approach for BCG Signal Content Classification. - Mohamed Chiheb Ben Nasr; Sofia Ben Jebara; Samuel Otis; Bessam Abdulrazak; Neila Mezghani (Sensors, 2021)

A Real-time Posture Monitoring System Towards Bad Posture Detection. - Ferdews Tlili; Rim Haddad; Ridha Bouallegue; Neila Mezghani (Wirel. Pers. Commun., 2021)

Knee kinesiography exam: literature review of an innovative dynamic assessment of knee dysfunctions, towards functional imaging. - Nicola Hagemeister; Joseph Zeni Jr.; Alix Cagnin; Shawna Crescenzo; Neila Mezghani (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data. - Imene Jemal; Neila Mezghani; Lina Abou-Abbas; Amar Mitiche (IEEE Access, 2022)

Analyzing US Airline Customer Sentiment on Twitter using Multinomial Logistic Regression and Feature Reduction. - Lina Abou-Abbas; Khadidja Henni; Imene Jemal; Neila Mezghani (CiSt, 2023)

Machine Learning Based Approaches for Cough Detection From Acceleration Signal. - Ines Belhaj Messaoud; Elyes Ben Cheikh; Assaad Chiboub; Karim Loulou; Youssef Ouakrim; Sofia Ben Jebara; Philippe C. Dixon; Neila Mezghani (CW, 2023)

Patient-independent epileptic seizure detection by stable feature selection. - Lina Abou-Abbas; Khadidja Henni; Imene Jemal; Amar Mitiche; Neila Mezghani (Expert Syst. Appl., 2023)

A Method for Quantifying Back Flexion/Extension from Three Inertial Measurement Units Mounted on a Horse's Withers, Thoracolumbar Region, and Pelvis. - Chloé Hatrisse; Claire Macaire; Camille Hébert; Sandrine Hanne-Poujade; Emeline De Azevedo; Fabrice Audigié; Khalil Ben-Mansour; Frédéric Marin; Pauline Martin; Neila Mezghani; Henry Château; Laurence Chèze (Sensors, 2023)

Imbalance-aware Machine Learning for Epileptic Seizure Detection. - Khadidja Henni; Lina Abou-Abbas; Imene Jemal; Amar Mitiche; Neila Mezghani (ISIVC, 2024)

On the Use of Hidden Markovian Model to Detect Cough from Respiratory Signals. - Sofia Ben Jebara; Youssef Ouakrim; Philippe C. Dixon; Neila Mezghani (ISIVC, 2024)

Domain adaptation for EEG-based, cross-subject epileptic seizure prediction. - Imene Jemal; Lina Abou-Abbas; Khadidja Henni; Amar Mitiche; Neila Mezghani (Frontiers Neuroinformatics, 2024)

Generative AI with WGAN-GP for boosting seizure detection accuracy. - Lina Abou-Abbas; Khadidja Henni; Imene Jemal; Neila Mezghani (Frontiers Artif. Intell., 2024)

End-to-End Horse Gait Classification in Uncontrolled Environments Using Inertial Sensors. - Mahaut Gérard; Sandrine Hanne-Poujade; Guillaume Dubois; Henry Château; Neila Mezghani (IEEE Access, 2025)

An Effective Deep Neural Network Architecture for EEG-Based Recognition of Emotions. - Khadidja Henni; Neila Mezghani; Amar Mitiche; Lina Abou-Abbas; Amel Benazza-Benyahia (IEEE Access, 2025)