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Creating a Cinema of Boxing in Day of the Fight (Stanley Kubrick, 1951)

Mise au point, 2023-07, Vol.17 (17)

Mellouli, Myriam

2023

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Creating a Cinema of Boxing in Day of the Fight (Stanley Kubrick, 1951)

Mise au point, 2023-07

Mellouli, Myriam

2023

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The Body in Motion – AIDOC Study Day: September 10, 2020, Maison de la Recherche Germaine Tillion, University of Angers

InMedia, 2020-12 (8.1.)

Mellouli, Myriam

2020

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Varia

Mise au point, 2023-07

2023

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Political Symbolism of Mary Kom from the Manipuri Autobiography to the Indian Blockbuster

Boxing, Narrative and Culture, 2024, p.164-178

1, 2024

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Ubiquitous Visuality

InMedia, 2020-12

2020

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The Body in Motion – AIDOC Study Day

InMedia, 2020

Mellouli, Myriam

2020

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On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks

Knowledge-based systems, 2018-07, Vol.151, p.95-113

2018

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A review of drought monitoring with big data: Issues, methods, challenges and research directions

Ecological informatics, 2020-11, Vol.60, p.101136, Article 101136

2020

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Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks

Big data and cognitive computing, 2021-05, Vol.5 (2), p.21

2021

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Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring

Future generation computer systems, 2022-11, Vol.136, p.1-14

2022

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Naive possibilistic classifiers for imprecise or uncertain numerical data

Fuzzy sets and systems, 2014-03, Vol.239, p.137-156

2014

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Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification

Big data research, 2017-03, Vol.7, p.16-30

2017

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Possibilistic classifiers for numerical data

Soft computing (Berlin, Germany), 2013-05, Vol.17 (5), p.733-751

2013

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Parenteral Nutrition Complications in Children Undergoing Bone Marrow Transplantation

Journal of pediatric hematology/oncology, 2019-10, Vol.41 (7), p.e473-e477

2019

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Acute lactic acidosis as a complication of thiamine-free parenteral nutrition in two neutropenic children

Nutrition clinique et métabolisme, 2015-09, Vol.29 (3), p.159-162

2015

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A Possibilistic Rule-Based Classifier

Advances on Computational Intelligence, p.21-31

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From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data

Scalable Uncertainty Management, p.112-125

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Possibilistic Classifiers for Uncertain Numerical Data

Symbolic and Quantitative Approaches to Reasoning with Uncertainty, p.434-446

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Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China

2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021, p.1-8

2021

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Predicting the Users' Clickstreams Using Time Series Representation, Symbolic Sequences, and Deep Learning: Application on Job Offers Recommendation Tasks

2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017, p.436-443

2017

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When Deep Neural Networks Meet Job Offers Recommendation

2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017, p.223-230

2017

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A possibilistic classification approach to handle continuous data

ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010, 2010, p.1-8

2010

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Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach

2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications, 2010, p.222-228

2010

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Creating a Cinema of Boxing in Day of the Fight (Stanley Kubrick, 1951)

Creating a Cinema of Boxing in Day of the Fight (Stanley Kubrick, 1951)

The Body in Motion – AIDOC Study Day: September 10, 2020, Maison de la Recherche Germaine Tillion, University of Angers

Varia

Political Symbolism of Mary Kom from the Manipuri Autobiography to the Indian Blockbuster

Ubiquitous Visuality

The Body in Motion – AIDOC Study Day

On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks

A review of drought monitoring with big data: Issues, methods, challenges and research directions

Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring

Naive possibilistic classifiers for imprecise or uncertain numerical data

Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification

Possibilistic classifiers for numerical data

Parenteral Nutrition Complications in Children Undergoing Bone Marrow Transplantation

Acute lactic acidosis as a complication of thiamine-free parenteral nutrition in two neutropenic children

A Possibilistic Rule-Based Classifier

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data

Possibilistic Classifiers for Uncertain Numerical Data

Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China

Predicting the Users' Clickstreams Using Time Series Representation, Symbolic Sequences, and Deep Learning: Application on Job Offers Recommendation Tasks

When Deep Neural Networks Meet Job Offers Recommendation

A possibilistic classification approach to handle continuous data

Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach

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