b'CNAM'

research

∙ 07/30/2018

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning

In this paper, we introduce a new model for leveraging unlabeled data to...

Thomas Robert, et al. ∙

research

∙ 02/27/2020

On Minimum Dominating Sets in cubic and (claw,H)-free graphs

Given a graph G=(V,E), S⊆ V is a dominating set if every v∈ V∖ S is adja...

Valentin Bouquet, et al. ∙

research

∙ 06/11/2022

A Two-Dimensional FFT Precoded Filter Bank Scheme

This work proposes a new precoded filter bank (FB) system via a two-dime...

R. Pereira Junior, et al. ∙

research

∙ 05/05/2022

Intelligent Transportation Systems' Orchestration: Lessons Learned Potential Opportunities

The growing deployment efforts of 5G networks globally has led to the ac...

Abdallah Moubayed, et al. ∙

research

∙ 05/16/2022

An Artificial Neural Network Functionalized by Evolution

The topology of artificial neural networks has a significant effect on t...

Fabien Furfaro, et al. ∙

research

∙ 10/28/2021

Multi-Attribute Balanced Sampling for Disentangled GAN Controls

Various controls over the generated data can be extracted from the laten...

Perla Doubinsky, et al. ∙

research

∙ 09/01/2021

Grassmannian Constellation Design for Noncoherent MIMO Systems Using Autoencoders

In this letter, we propose an autoencoder (AE) for designing Grassmannia...

Xiaotian Fu, et al. ∙

research

∙ 08/26/2021

Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree

Web Image Context Extraction (WICE) consists in obtaining the textual in...

Chen Dang, et al. ∙

research

∙ 07/27/2021

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation

We present PKSpell: a data-driven approach for the joint estimation of p...

Francesco Foscarin, et al. ∙

research

∙ 07/23/2021

The complexity of the Bondage problem in planar graphs

A set S⊆ V(G) of a graph G is a dominating set if each vertex has a neig...

Valentin Bouquet, et al. ∙

research

∙ 11/27/2020

Clustering with missing data: which equivalent for Rubin's rules?

Multiple imputation (MI) is a popular method for dealing with missing va...

Vincent Audigier, et al. ∙

research

∙ 06/24/2020

Clustering and Power Optimization for NOMA Multi-Objective Problems

This paper considers uplink multiple access (MA) transmissions, where th...

Zijian Wang, et al. ∙

research

∙ 05/20/2020

Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm

Mixed integer linear programs are commonly solved by Branch and Bound al...

Marc Etheve, et al. ∙

research

∙ 04/23/2020

Performance Analysis of Uplink NOMA-Relevant Strategy Under Statistical Delay QoS Constraints

A new multiple access (MA) strategy, referred to as non orthogonal multi...

Mylene Pischella, et al. ∙

research

∙ 04/06/2020

Performance Analysis of Uplink Adaptive NOMA Depending on Channel Knowledge

Non Orthogonal Multiple Access (NOMA) is a key technique to satisfy larg...

Mylene Pischella, et al. ∙

research

∙ 03/05/2020

Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety

Qatar expects more than a million visitors during the 2022 World Cup, wh...

Rateb Jabbar, et al. ∙

research

∙ 03/16/2015

GeomRDF: A Geodata Converter with a Fine-Grained Structured Representation of Geometry in the Web

In recent years, with the advent of the web of data, a growing number of...

Fayçal Hamdi, et al. ∙

research

∙ 09/19/2019

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

This paper addresses the problem of time series forecasting for non-stat...

Vincent Le Guen, et al. ∙

research

∙ 02/25/2019

MUREL: Multimodal Relational Reasoning for Visual Question Answering

Multimodal attentional networks are currently state-of-the-art models fo...

Rémi Cadene, et al. ∙

research

∙ 01/22/2019

Solving unconstrained 0-1 polynomial programs through quadratic convex reformulation

We propose a solution approach for the problem (P) of minimizing an unco...

Sourour Elloumi, et al. ∙

research

∙ 08/21/2018

An ensemble learning method for variable selection: application to high dimensional data and missing values

Standard approaches for variable selection in linear models are not tail...

Avner Bar-Hen, et al. ∙

research

∙ 07/26/2018

Block models for multipartite networks.Applications in ecology and ethnobiology

Modeling relations between individuals is a classical question in social...

Avner Bar-Hen, et al. ∙

research

∙ 05/15/2018

Analytical study of 5G NR eMBB co-existence

3GPP release 15 focusing on 5G general outline has been published in Dec...

David Demmer, et al. ∙

research

∙ 04/30/2018

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

Designing powerful tools that support cooking activities has rapidly gai...

Micael Carvalho, et al. ∙

research

∙ 11/02/2017

Adaptive Network Flow with k-Arc Destruction

When a flow is not allowed to be reoriented the Maximum Residual Flow Pr...

Thomas Ridremont, et al. ∙

research

∙ 08/19/2017

An FPT algorithm for planar multicuts with sources and sinks on the outer face

Given a list of k source-sink pairs in an edge-weighted graph G, the min...

Cédric Bentz, et al. ∙

research

∙ 09/14/2017

Weighted and locally bounded list-colorings in split graphs, cographs, and partial k-trees

For a fixed number of colors, we show that, in node-weighted split graph...

Cédric Bentz, et al. ∙

research

∙ 12/21/2013

Parallel architectures for fuzzy triadic similarity learning

In a context of document co-clustering, we define a new similarity measu...

Sonia Alouane-Ksouri, et al. ∙

research

∙ 07/28/2016

Incremental Noising and its Fractal Behavior

This manuscript is about further elucidating the concept of noising. The...

Konstantinos A. Raftopoulos, et al. ∙

research

∙ 08/02/2016

Global Vertices and the Noising Paradox

A theoretical and experimental analysis related to the identification of...

Konstantinos A. Raftopoulos, et al. ∙

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