Publications associées à Cible (marketing)

Generating Sparse Stochastic Processes Using Matched Splines

Michaël Unser, Leello Tadesse Dadi, Shayan Aziznejad

We provide an algorithm to generate trajectories of sparse stochastic processes that are solutions of linear ordinary differential equations driven by Levy white noises. A recent paper showed that these processes are limits in law of generalized compound-P ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Slow Moving Capital and Trade Execution Costs: Evidence from a major trading Glitch

Pierre Collin Dufresne, Vincent Jean Bogousslavsky

We investigate the impact of an exogenous trading glitch at a high-frequency market-making firm on standard measures of stock liquidity (spreads, price impact, turnover, and depth) and institutional trading costs (implementation shortfall and VWAP slippage ...

2020

Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics

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Although still limited in clinical practice, quantitative analysis is expected to increase the value of musculoskeletal (MSK) imaging. Segmentation aims at isolating the tissues and/or regions of interest in the image and is crucial to the extraction of qu ...

THIEME MEDICAL PUBL INC2020

Biotechnologies to tackle the challenge of neoantigen identification

Philippe Renaud, George Coukos, Margaux Catherine Marie Duchamp, Alexandre Harari, Marion Arnaud

Among immune correlates of clinical responses, tumor-specificneoantigens took the spotlight as relevant targets for cancerimmunotherapy. The implementation of pipelines forpersonalized cancer therapy remains challenging due to theprivacy, that is patient-s ...

2020

Cold Atmospheric Plasma Inactivation of Microbial Spores Compared on Reference Surfaces and Powder Particles

Alan Howling, David Martinet

Heat-resistant spores on a dry, heat- and water-sensitive food matrix are difficult to inactivate. Radioactive or X-ray exposure is allowed and accepted only for some selected commodities. Non-thermal atmospheric pressure plasma treatments could offer an e ...

SPRINGER2020

Capsule networks as recurrent models of grouping and segmentation

Michael Herzog, Adrien Christophe Doerig, Bilge Sayim, Mauro Manassi, Lynn Schmittwilken

Classically, visual processing is described as a cascade of local feedforward computations. Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such models can be. However, using visual crowding as a well-controlled challenge, we pre ...

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TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

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Most state-of-the-art approaches to road extraction from aerial images rely on a CNN trained to label road pixels as foreground and remainder of the image as background. The CNN is usually trained by minimizing pixel-wise losses, which is less than ideal t ...

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Strategic environmental urban planning - A contextual approach for defining performance goals and informing decision-making

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Environmental performance objectives in terms of energy consumption and carbon emission targets can be found in various building norms and certifications schemes. These targets are often dependent upon the building program (e.g. office), but independent fr ...

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Cible (marketing)

Generating Sparse Stochastic Processes Using Matched Splines

Slow Moving Capital and Trade Execution Costs: Evidence from a major trading Glitch

Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics

Biotechnologies to tackle the challenge of neoantigen identification

Unsupervised Representation Learning for Gaze Estimation

A Multiagent Model of Efficient and Sustainable Financial Markets

Cold Atmospheric Plasma Inactivation of Microbial Spores Compared on Reference Surfaces and Powder Particles

Capsule networks as recurrent models of grouping and segmentation

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

Strategic environmental urban planning - A contextual approach for defining performance goals and informing decision-making

Graph Chatbot

Chattez avec Graph Search

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

A Multiagent Model of Efficient and Sustainable Financial Markets

Capsule networks as recurrent models of grouping and segmentation

Cold Atmospheric Plasma Inactivation of Microbial Spores Compared on Reference Surfaces and Powder Particles

Biotechnologies to tackle the challenge of neoantigen identification

Generating Sparse Stochastic Processes Using Matched Splines

Slow Moving Capital and Trade Execution Costs: Evidence from a major trading Glitch

Strategic environmental urban planning - A contextual approach for defining performance goals and informing decision-making

Unsupervised Representation Learning for Gaze Estimation

Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics