Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obstacle for effectively training models due to the high cost associated with data labeling. Currently, deep learning-based models extensively utilize data augmentation techn...
We study the connection between mixing properties for bipartite graphs and materialization of the mutual information in one-shot settings. We show that mixing properties of a graph imply impossibility to extract the mutual information shared by the ends of an edge randomly sampled in the graph. We apply these impossibility results to some questions...
Graph matching is an important problem that has received widespread attention, especially in the field of computer vision. Recently, state-of-the-art methods seek to incorporate graph matching with deep learning. However, there is no research to explain what role the graph matching algorithm plays in the model. Therefore, we propose an approach int...
Given a digraph D = (V, A) on n vertices and a vertex v ∈ V , the cycle-degree of v is the minimum size of a set S ⊆ V (D) \ {v} intersecting every directed cycle of D containing v. From this definition of cycle-degree, we define the c-degeneracy (or cycle-degeneracy) of D, which we denote by δ * c (D). It appears to be a nice generalisation of the...
This paper introduces a novel optimization approach for stain separation in digital histopathological images. Our stain separation cost function incorporates a smooth total variation regularization and is minimized by using a projected gradient algorithm. To enhance computational efficiency and enable supervised learning of the hyperparameters, we ...
In this paper, we present an efficient attack against PROV, a recent variant of the popular Unbalanced Oil and Vinegar (UOV) multivariate signature scheme, that has been submitted to the ongoing NIST standardization process for additional post-quantum signature schemes. A notable feature of PROV is its proof of security, namely, existential unforge...
We present a non-commutative algorithm for the multiplication of a 2x2-block-matrix by its transpose using 5 block products (3 recursive calls and 2 general products) over C or any finite field.We use geometric considerations on the space of bilinear forms describing 2x2 matrix products to obtain this algorithm and we show how to reduce the number ...
The landscape of language automation has experienced notable strides in recent times, largely propelled by the advent of artificial intelligence (AI) technologies like ChatGPT. These advancements have ushered in new possibilities for comprehending and crafting text, raising an essential question: does AI empowerment solve the problems of lexicograp...
The multisource surveillance tool (MUST) is a platform for collecting, gathering, and visualizing different sources of information related to health events and highly pathogenic avian influenza in mammals (HPAIM). MUST-AI constitutes the first part of the MUST tool, which centralizes health information relating to cases of HPAIM since January 1, 20...
In this paper, we tackle online Service Function Chaining (SFC) embedding issue in Software Defined Network (SDN)/Network Function Virtualization (NFV) enabled networks using Deep Reinforcement Learning (DRL) approach. This approach investigates the problem of Quality of Experience (QoE)/Quality of Service (QoS) driven SFC embedding with dynamic Vi...
