activity
20122026
most citedComplex Morlet Wavelet Analysis of the DNA Frequency Chaos Game Signal and Revealing Specific Motifs of Introns in C.elegans

7 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2026★ 4 cited

Cepstral Smoothing of Binary Masks for Convolutive Blind Separation of Speech Mixtures

Ibrahim Missaoui, Zied Lachiri

In this paper, we propose a novel separation system for extracting two speech signals from two microphone recordings. Our system combines the blind source separation technique with…

cs.LG2019

Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction

Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini +1

In unsupervised learning, there is no apparent straightforward cost function that can capture the significant factors of variations and similarities. Since natural systems have smo…

eess.SY2013★ 7 cited

Complex Morlet Wavelet Analysis of the DNA Frequency Chaos Game Signal and Revealing Specific Motifs of Introns in C.elegans

Imen Messaoudi, Afef Elloumi Oueslati, Zied Lachiri

Nowadays, studying introns is becoming a very promising field in the genomics. Even though they play a role in the dynamic regulation of gene and in the organism's evolution, intro…

eess.SY2013★ 1 cited

SVM based on personal identification system using Electrocardiograms

Emna Rabhi, Zied Lachiri

This paper presents a new algorithm for personal identification from their Electrocardiograms (ECG) which is based on morphological descriptors and Hermite Polynomials Expansion co…

cs.SD2012★ 6 cited

Blind speech separation based on undecimated wavelet packet-perceptual filterbanks and independent component analysis

Ibrahim Missaoui, Zied Lachiri

In this paper, we address the problem of blind separation of speech mixtures. We propose a new blind speech separation system, which integrates a perceptual filterbank and independ…

cs.CV2012★ 2 cited

Environmental Sounds Spectrogram Classification using Log-Gabor Filters and Multiclass Support Vector Machines

Sameh Souli, Zied Lachiri

This paper presents novel approaches for efficient feature extraction using environmental sound magnitude spectrogram. We propose approach based on the visual domain. This approach…