Imen Trabelsi

Orcid: 0000-0002-5781-8730

Affiliations:
  • Université Paris-Saclay, Orsay, France
  • Normandie University, INSA Rouen, LITIS, Rouen, France
  • Ecole Nationale d'Ingénieurs de Tunis, Tunis, Tunisia (former)


According to our database1, Imen Trabelsi authored at least 18 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Training universal background models with restricted data for speech emotion recognition.
J. Ambient Intell. Humaniz. Comput., 2022

Cross-corpus classification of affective speech.
Int. J. Adv. Intell. Paradigms, 2022

Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach.
Comput. Biol. Medicine, 2022

Sensor-based Activity Recognition using Deep Learning: A Comparative Study.
Proceedings of the MOCO '22: 8th International Conference on Movement and Computing, Chicago, IL, USA, June 22, 2022

2021
Deciding when to quit the gambler's ruin game with unknown probabilities.
Int. J. Approx. Reason., 2021

2020
Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora.
Proceedings of the Artificial Intelligence XXXVII, 2020

2018
Evaluation of influence of arousal-valence primitives on speech emotion recognition.
Int. Arab J. Inf. Technol., 2018

2017
Robust Watermarking of Polygonal Meshes Based on Vertex Norms Variance Distortion.
J. Glob. Inf. Manag., 2017

Discrete and continuous emotion recognition using sequence kernels.
Int. J. Intell. Eng. Informatics, 2017

2016
Comparison of Several Acoustic Modeling Techniques for Speech Emotion Recognition.
Int. J. Synth. Emot., 2016

Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking.
Int. J. Interact. Multim. Artif. Intell., 2016

A multi features fusion support vector machine for classification of emotion issue in the design of an audio recognition system.
Int. J. Appl. Pattern Recognit., 2016

Automatic emotion recognition using generative and discriminative classifiers in the GMM mean space.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Possibilistic support vector machines for automatic phoneme recognition.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015
Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition.
Int. J. Synth. Emot., 2015

2014
Improved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states.
CoRR, 2014

A Multi Level Data Fusion Approach for Speaker Identification on Telephone Speech.
CoRR, 2014

On the Use of Different Feature Extraction Methods for Linear and Non Linear kernels.
CoRR, 2014


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