The 1st Workshop on Machine Learning and Deep Learning WMLDL 2023

Welcome to WMLDL 2023
The 1st Workshop on Machine Learning and Deep Learning WMLDL 2023 will be organized by the Optimization, Decision Making and Artificial Intelligence Team, of the Laboratory of Informatics and its Applications of M'sila (LIAM), Faculty of Mathematics and Informatics, University Mohamed Boudiaf of M'sila on March 07th, 2023, in M’sila, Algeria (a hybrid workshop that will allow both physical and virtual attendance options). This workshop will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning and Deep Learning. The Workshop looks for significant contributions to all major fields of both Machine Learning and Deep Learning in theoretical and practical aspects. The aim of the workshop is to provide a platform for senior researchers, research scholars, and practitioners from both academia as well as industry to meet and share their research results and experiences on all topics of ML and DL fields. Another purpose of the workshop is to help prepare students to implement real-world machine learning / deep learning projects during their thesis work.
Please submit your abstracts on or before December 20th, 2022, via EasyChair system (https://easychair.org/conferences/?conf=wmldl2023). A complete schedule of the event will be posted after the list of presentations has been finalized.

Workshop Chair:
Dr. Said Gadri, University Mohamed Boudiaf of M’sila, Algeria

Workshop Co-Chair:
Dr. Allaoua Hemmak, University Mohamed Boudiaf of M’sila, Algeria

Program Committee
Dr. Said Gadri, University Mohamed Boudiaf of M’sila, Algeria
Dr. Allaoua Hemmak, University Mohamed Boudiaf of M’sila, Algeria
Pr. Mustapha Bourahla, University Mohamed Boudiaf of M’sila, Algeria
Pr. Samir Akrouf, University Mohamed Boudiaf of M’sila, Algeria
Pr. Abdelouahab Moussaoui, University Farhat Abbes of Setif
Pr. Ahmad T. Al-Taani, Yarmouk University, Jordan
Pr. Laid Kahloul, University Mohamed Khider of Biskra, Algeria.
Pr. Salim Bouamama, Ferhat Abbas University Setif 1, Algeria
Pr. Yahya Slimani, University of Manouba, Tunisia
Pr. Abdel-Badeeh Salem, University of Ain Shams, Egypt
Pr. Belabdelouahab Linda-Fernini, University Mohamed Boudiaf of M’sila, Algeria
Pr. Mohamed Benmohammed, Constantine 2 University, Algeria
Pr. Chaker Abdelaziz Kerrache, University Amar Telidji of Laghouat, Algeria
Pr. Sadek Bouroubi, USTHB, Algeria
Dr. Abbas Cheddad, Belkinge Institute of Technology, Sweden
Dr. Nassereddine Mouhoub, University Mohamed Boudiaf of M’sila, Algeria
Dr. Lamri Sayad, University Mohamed Boudiaf of M’sila, Algeria
Dr. Zahid Akhtar, State University of New York (SUNY) Polytechnic Institute, USA
Dr. Mahmoud Brahimi, University Mohamed Boudiaf of M’sila, Algeria
Dr. Abdelkader Laouid, University Echahid Hamma Lakhdar of El-Oued, Algeria
Dr. Debbi Hichem, University Mohamed Boudiaf of M’sila, Algeria
Dr. Mohamed Benouis, University Mohamed Boudiaf of M’sila, Algeria.
Dr. Said Bachir, University Kasdi Merbah of Ouargla, Algeria
Dr. Chikouche Noureddine, University Mohamed Boudiaf of M’sila, Algeria
Dr. Tahar Mehenni, University Mohamed Boudiaf of M’sila, Algeria
Dr. Farid Nouioua, University El-Bachir El-Ibrahimi of Bordj Bou Arriridj, Algeria
Dr. Makhlouf BenAzi , University Mohamed Boudiaf of M’sila, Algeria
Dr. Kamel Heraguemi, University Mohamed Boudiaf of M’sila, Algeria
Dr. Mouna Torjmen, Laboratoire ReDCAD, Tunisia
Dr. Adel Moussaoui, University Mohamed Boudiaf of M’sila, Algeria
Dr. Rahima Bentrcia, University Mohamed Boudiaf of M’sila, Algeria
Dr. Mohamed Boubakir, University Mohamed Seddik Ben yahia, Jijel
Dr. Mohamed Bounif, University Mohamed Boudiaf of M’sila, Algeria
Dr. Mohamed Kamel, University Mohamed Boudiaf of M’sila, Algeria
Dr. Rabah Mokhtari, University Mohamed Boudiaf of M’sila, Algeria
Dr. Bilal Lounnas , University Mohamed Boudiaf of M’sila, Algeria
Dr. Belkacem Brahimi, University Mohamed Boudiaf of M’sila, Algeria
Dr. Mohamed Sahraoui, University Mohamed Boudiaf of M’sila, Algeria
Dr. Fares Mezrag, University Mohamed Boudiaf of M’sila, Algeria
Dr. Fairouz Fakhfakh, University of Sfax, Tunisia
Dr. Amina Belalia, HSCS (ESI), Sidi Belabbes, Algeria
Dr. Fouzi Harrag, Ferhat Abbas University Setif 1, Algeria
Dr. Amel Meliouh, University Mohamed Boudiaf of M’sila, Algeria
Dr. Ouarda Assas, University of Hadj Lakhdar of Batna, Algeria

Workshop Links:
Workshop URL: http://virtuelcampus.univ-msila.dz/liam/index.php/2022/11/03/the-1st-international-workshop-on-machine-learning-and-deep-learning-wmldl-2023/
Facebook page: https://www.facebook.com/The-1st-Workshop-on-Machine-Learning-and-Deep-Learning-WMLDL-2023-102194475985748/?ref=pages_you_manage

Contacts:
# Workshop e-mail: wmldl2023@univ-msila.dz
# Said Gadri – said.kadri@univ-msila.dz
# Allaoua Hemmak, allaoua.hemmak@univ-msila.dz

Organization Committee
# Dr. Said Gadri
# Dr. Allaoua Hemmak
# Mr. Mohamed Chatra
# Dr. Mohamed Elhadi Bounif
# Dr. Adel Moussaoui
# Dr. Brahimi Belkacem
# Mr. Roussafi Mahdjoubi
# Mr. Nassereddine Amroune
# Mr. Bilal Lounnas
# Mr. Mohamed Kamel
# Mme.Ahlem Bouzaroura
# Mme. Madiha Halassa
# Mme.Leila Nouioua

Topics:
Authors are solicited to contribute to the workshop by submitting papers that describe significant advances in the following areas, but are not limited to:

Machine Learning
# Fundamentals of Machine Learning
# Machine Learning Algorithms, Models, and Systems Integration
# Supervised, Semi-supervised, Unsupervised Learning
# Reinforcement Learning
# Inductive, Transductive, Adaptive, Rational and Structured Learning
# Active, Cost-Sensitive, Multi-Instance, Multi-Label and Multi-Task learning
# Learning Graphical Models and Complex Networks
# Deductive Inference
# Bayesian Network
# Machine Learning and Data Science
# Machine Learning Platforms, Technology, and Tools
# Machine Learning Applications
-Computational Learning Theory
-Adversarial Machine Learning
-Quantum Machine Learning
-ML in Robotics, Computer Vision and Games
-Meta-Learning
-Cognitive Services
-Medical Services
-Natural Language Processing
-Business Management
-Image Recognition
-Face Detection
-Video Games
-Pattern Recognition
-Bioinformatics
-Machine Learning in a Data-Driven Business Environment
-Machine Learning and Big Data
-ML in Smart Cities (Healthcare, Traffic, Transportation, environment, etc.)
Deep Learning
# Artificial Neural Network (ANN)
# Neural Network Architecture
# Deep Neural Network (DNN)
# Convolution Neural Network (CNN)
# Recurrent Neural Network (RNN)
# Restricted Boltzmann Machine (RBM)
# Deep Belief Network (DBN)
# Autoencoders
# Deep Learning Environments (Python, Tensorflow, Keras, …)
# Deep Learning Applications
-Automatic Speech Recognition
-Computer Vision
-Image Recognition
-Natural Language Processing
-Toxicology
-Customer Relationship Management
-Bioinformatics
-Mobile Advertising
-Self-Driving Cars

Paper submission:
Authors are invited to submit papers through the Easy Chair system (the full link https://easychair.org/conferences/?conf=wmldl2023). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this workshop. Papers must be written in English, and should not exceed 12 pages, using the LNCS standard template (available here: https://www.springer.com/gp/authors-editors/conference-proceedings/editors/word-template/19338734). Only PDF files will be accepted. A submission may include a theoretical study, an experimental and technical study, a case study, or a survey. Accepted and presented papers will be included in the WMLDL 2023 workshop proceedings.

Key dates (Deadlines/Important Dates):
Paper submission deadline: January 05, 2023
Paper Decision Notification: February 20, 2023
Camera-ready due: February 28, 2023
Workshop Date: Mars 07, 2023

Registration Fees: FREE

Invited Talks (2022):
TBA

Sponsors:
WMLDL 2023 offers several attractive sponsorship packages to provide opportunities for companies and organizations to enjoy a great amount of visibility within the machine learning and data mining communities.