Éric Angel

Emergency Vertex Cover

Éric Angel, Evangelos Bampas, Evripidis Bampis, Vincent Chau et autres

The Minimum Vertex Cover problem is a fundamental combinatorial optimization problem, aiming to identify a minimum subset of vertices in a graph such that every edge is incident to at least one vertex in this subset. Among its variants, the Min-Power-Cover problem …

A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification

Loïc Omnes, Éric Angel, Pierre Bartet, François Radvanyi et autres

The accurate prediction of RNA secondary structure, and pseudoknots in particular, is of great importance in understanding the functions of RNAs since they give insights into their folding in three-dimensional space. However, existing approaches often face computational challenges or lack precision when …

fr (code pays fourni par la source)

Semi-supervised segmentation of RNA 3D structures using density-based clustering

Quynh‐Thu Le, Éric Angel, Fariza Tahi, Guillaume Postic

ABSTRACT A growing body of evidence shows that the biological activity of RNA molecules is not only due to their primary and secondary structures, but also to their spatial conformation. This is analogous to proteins, where investigating function, folding, or evolution often …

fr (code pays fourni par la source)

Semi-supervised segmentation of RNA 3D structures using density-based clustering

Q Le, Éric Angel, Fariza Tahi, Guillaume Postic

A growing body of evidence shows that the biological activity of RNA molecules is not only due to their primary and secondary structures, but also to their spatial conformation. This is analogous to proteins, where investigating function, folding, or evolution often requires …

fr (code pays fourni par la source)

Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem

X.M. Zhang, Éric Angel, Feng Chu, Damien Regnault

fr (code pays fourni par la source)

Biobjective gradient descent for feature selection on high dimension, low sample size data

Tina Issa, Éric Angel, Farida Zehraoui

Even though deep learning shows impressive results in several applications, its use on problems with High Dimensions and Low Sample Size, such as diagnosing rare diseases, leads to overfitting. One solution often proposed is feature selection. In deep learning, along with feature …

fr (code pays fourni par la source)

Prediction of Secondary Structure for Long Non-Coding RNAs using a Recursive Cutting Method based on Deep Learning

Loïc Omnes, Éric Angel, Pierre Bartet, François Radvanyi et autres

Accurately predicting the secondary structure of RNA, particularly for long non-coding RNA, has direct implications in healthcare, where it can be used for diagnostic, therapeutic, and drug discovery purposes. However, the majority of previous approaches are too costly in terms of computation …

fr (code pays fourni par la source)

C-RCPred: a multi-objective algorithm for interactive secondary structure prediction of RNA complexes integrating user knowledge and SHAPE data

Mandy Ibéné, Audrey Legendre, Guillaume Postic, Éric Angel et autres

RNAs can interact with other molecules in their environment, such as ions, proteins or other RNAs, to form complexes with important biological roles. The prediction of the structure of these complexes is therefore an important issue and a difficult task. We are …

fr (code pays fourni par la source)

Indigenous food sovereignty through resurgent self-governance: centering Nuu-chah-nulth principles in sea otter management in Canada

Lindsey Popken, P. Joshua Griffin, Charlotte Coté, Éric Angel

Although North American settler governments face scrutiny over the ecological, social, and ethical shortcomings of environmental policy, many Indigenous Nations are pursuing a resurgence of environmental self-governance according to ancestral principles and practices. On the west coast of Vancouver Island, the reintroduction …

us (code pays fourni par la source)

A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graph with Bounded Tree-width

Éric Angel, Sébastien Morais, Damien Regnault

In this paper we study a scheduling problem arising from executing numerical simulations on HPC architectures. With a constant number of parallel machines, the objective is to minimize the makespan under memory constraints for the machines. Those constraints come from a neighborhood …

A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graphs with Bounded Tree-Width

Éric Angel, Sébastien Morais, Damien Regnault

fr (code pays fourni par la source)

Calibrations scheduling with arbitrary lengths and activation length

Éric Angel, Evripidis Bampis, Vincent Chau, Vassilis Zissimopoulos

fr, cn, gr (code pays fourni par la source)