Introduction

ICMLA'24 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML).

The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges. The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, games, are especially encouraged.

Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. The conference is technically co-sponsored by IEEE.

It is planned that ICMLA'24 will be organized as in pre-pandemics time, with participants attending the conference in person, unless Covid rules will change towards the end of the year and this will not be possible. However, facilities will be in place so that people can attend and present their papers online, although we encourage in-person attendance.

Committee

Organizing Committee

Honorary Chair
Jose C Principe, University of Florida, USA

General Chair
Plamen Angelov, University of Lancaster, UK

Conference Co-Chairs
Feng Luo, Clemson University, USA
Mitsunori Ogihara, University of Miami, USA

Program Committee Co-Chairs
Radu-Emil Precup, Politehnica University of Timisoara, Romania
Xintao Wu, University of Arkansas, USA
Ramin Ramezani, University of California Los Angeles, USA
Xiaowei Gu, University of Surrey, UK

Publication Chair
Arif Wani, University of Kashmir, India

Tutorial Chair
Chrisina Jayne, University of Teesside, UK

Special Sessions Chair
Shiwei Liu, The University of Texas at Austin, USA

Workshop Chair
Luca Oneto, University of Milan, Italy

Local Organization Chair
Vanessa Aguiar-Pulido, University of Miami, USA

Web Pages Chair
Yi Li, Lancaster University, UK

Publicity Chair
Chrisina Jayne, Teesside University, UK

Program Committee

Program Committee Co-Chairs

Xintao Wu, University of Arkansas, USA
Ramin Ramezani, University of California Los Angeles, USA
Xiaowei Gu, University of Surrey, UK
Radu-Emil Precup, Politehnica University of Timisoara, Romania

Program Committee Members

Abdelmounaam Rezgui, Illinois State University
Abhishek Samanta, Universität des Saarlandes
Abu Kaisar Mohammad Masum, Daffodil International University
Abu Kaisar Mohammad Masum, FLORIDA INSTITUTE OF TECHNOLOGY
Adil Al-Azzawi, American University in Iraq-Baghdad
Advait Gupta, Rajiv Gandhi Institute of Petroleum Technology
Ahmed ElSayed, University of Bridgeport
Ai Kagawa, Brookhaven National Laboratory
Ajita Rattani, Univ. of North Texas
Akbar Siami Namin, Computer Science Department, Texas Tech University
Alberto Cano, Virginia Commonwealth University
Alceu Britto, Pontifical Catholic University of Parana
Alessandro Antonucci, IDSIA
Ali Zafari, West Virginia University
Alina Lazar, Youngstown State University, USA
Alkis Simitsis, Athena Research Center
Alycia Carey, University of Arkansas
Amartya Chakraborty, St. Thomas' College of Engineering and Technology, Kolkata
Amira Azeer, -
Amit Kumar Singh Yadav, Purdue University
Amparo Alonso-Betanzos, Univ. A Coruña-CITIC
Andre Hochuli, Pontifícia Universidade Católica do Paraná (PPGIA/PUCPR)
Andy Chun, City University of Hong Kong
Aneesh Komanduri, University of Arkansas
Aniruddha Rajendra Rao, Hitachi America Limited
Anjana Rajakumar, Hitachi India Pvt. Ltd.
Ankit Sharma, Hitachi India Pvt. Ltd.
Anli Ji, Georgia State University
Arash Jalal Zadeh Fard, Vertica
Ardian Selmonaj, IDSIA
Arielle Carr, Lehigh University
Arlindo Oliveira, Instituto Superior Técnico
Arlindo Silva, Polytechnic Institute of Castelo Branco
Arpan Mahara, Florida International University
Arunkumar Bagavathi, Oklahoma State University
Avik Santra, Infineon Technologies AG
Ayad Turky, University of Sharjah
Basel Barakat, University of Sunderland
Binbin Jia, Lanzhou University of Technology
Boyang Wang, University of Cincinnati
Bradley McDanel, Franklin and Marshall College
Brian Sadler, Army Research Laboratory, USA
Bruno Veloso, FEP - University of Porto and INESC TEC
Carson Leung, University of Manitoba
Chetraj Pandey, Georgia State University
Christan Grant, University of Oklahoma
Christian Raymond, INRIA / IRISA Rennes
Christoph Quix, Hochule Niederrhein University of Applied Sciences
Chunmei Liu, Howard University, USA
Cleber Zanchettin, Federal University of Pernambuco
Cristina Boicu, Northern Virginia Community College
Cristobal J. Carmona, University of Jaen
Dana Petcu, UVT
Daniel Adams, Oak Ridge National Laboratory
Daniel Nikovski,
Daniela Gallo, Università del Salento
Danil Kuzin, Lancaster University
David Broneske, Otto-von-Guericke University Magdeburg
Depeng Xu, University of North Carolina at Charlotte
Diego Vallejo-Huanga, Universidad Politécnica Salesiana
Diogo Apóstolo, Universidade de Coimbra, DEI, CISUC
Dr. Dhaval Patel, Ahmedabad University
Ellouze Mourad, Faculté des Sciences Economiques et de Gestion de Sfax (FSEGS) - MIRACL Laboratory
Emanuele Principi, Università Politecnica delle Marche
ERNESTO COSTA, University of Coimbra
Esther-Lydia Silva-Ramírez, Universidad de Cádiz
Eugenio Vocaturo, University of Calabria, Italy
EunSang Bak, Chosun University
F. Amilcar Cardoso, University Coimbra
Fadi Salo, University of Western Ontario
Farnaz Sabahi, Urmia University
Felix Havugimana, University of Memphis
Fernando Martínez-Plumed, Universitat Politècnica de València
Gaurav Bagwe, Michigan Technological University
Georg Frey, Saarland University
Gherardo Varando, Universitat de València
Giovanni Livraga, Universita' degli Studi di Milano
Giuseppe Papuzzo, ICAR-CNR
Gloria Cerasela Crisan, Vasile Alecsandri University of Bacau
Guangzhi Qu, Oakland university
Halil BULBUL, Gazi University
Halil BULBUL, Gazi University
Hamdan Hani, Centrale SUPELEC
Hamid Bouchachia, Bournemouth University
Hao Wang, Shanghai University
Harsh Nilesh Pathak, WORCESTER POLYTECHNIC INSTITUTE
Hasmot Ali, Apurba Technologies
Heinz Erbe, Technical University of Berlin
Hongfeng Yu, University of Nebraska Lincoln
Houjun Tang, Lawrence Berkeley National Laboratory
Huanjing Wang, Western Kentucky University, USA
Hui Li, Nankai University
Igor Putnik, University of Maribor
Indika Kahanda , University of North Florida
Isabel Zimmerman, Posit
Jacob Furst, DePaul University
Jacqueline Hoellig, FZI Research Center for Information Technology
Jamshid Bagherzadeh Mohasefi, Urmia University
Jason Van Hulse, Florida Atlantic University, USA
Jason Zhang, Georgia Institute of Technology
Jay Lofstead, Sandia National Laboratories
Jens Decke, Universität Kassel
Jiaji Ma, University of Virginia
Jian Xu, Tsinghua University
jiangning chen, Georgia institute of technology
Jianwu Wang, University of Maryland, Baltimore County
Jiblal Upadhya, Middle Tennessee State University, TN
Jingyi Gao, University of Virginia
Jinoh Kim, Texas A&M University-Commerce
Joana Cristo Santos, University of Coimbra, CISUC, Department of Informatics Engineering, Coimbra 3030-290, Portugal
Joel Brynielsson, KTH Royal Institute of Technology
John Anderson, University of Manitoba, Canada
John Warner, US Naval Research Laboratory
Jose Salvador Sanchez, Universitat Jaume I, Spain
Jun Chen, Oakland University
Junaid Reshi, Aligarh Muslim University
JY Wu, SMU
Kaiyuan Hou, Northwestern University
KAMALAKKANNAN RAVI, University of Central Florida
Katarina Grolinger, The University of Western Ontario
Keke Chen, Marquette University
Kesheng Wu, LBNL
kiana Sharifpour, Concordia University
Kouzou Ohara, Aoyama Gakuin University, Japan
Kratika Bhagtani, Purdue University
Kuangdai Leng, Science and Technology Facilities Council
Kunpeng Liu, Portland State University
Ladislau Boloni, University of Central Florida
Lakshmish Ramaswamy, University of Georgia
Leandro Stival, UNICAMP
Longzhi Yang, Northumbria University
Luis Reis, Universidade de Porto
Lukasz Radlinski, West Pomeranian University of Technology Szczecin
Lyudmila Zinchenko, BMSTU, Russia
Madhureeta Das, Michigan Technological University
Mahmuda Naznin, Bangladesh University of Engineering and Technology
Malgorzata Schwab, University of Colorado Denver
Manfred Minimair, Seton Hall University
Manish Bhattarai, Los Alamos National Labs
Maria Barger, Worcester Polytechnic Institute
Marilia Silva, University of São Paulo
Martin Berzins, SCI Institute
Maynara Souza, Federal University of Pernambuco
Md Abdullah Al Hafiz Khan, Kennesaw State University
Md Faisal Kabir, Pennsylvania State University Harrisburg
Md. Nahid Hasan, Middle Tennessee State University
Menouar Azib, Akkodis
Michael Ajao-Olarinoye, coventry university
Mihai Boicu, George Mason University
Mikel Galar, Universidad Pública de Navarra
Milosavljevic Cedomir, University of East Sarajevo
Minghong Fang, Duke University
Mingzuoyang Chen, University of Detroit Mercy
MirHamed Jafarzadeh Asl, McGill University
Mitic Darko, University of Nis
Mitsunori Ogihara, University of Miami, USA
Mudiyanselage Dulanga Kaveesha Weerakoon, Singapore Management University
Muhammed YATKIN, TALTECH
Murat Akın, Gazi University
Naga Surya Sandeep Angara, NLM
Naima Khan, UMBC Department of Information Systems
Namarta Vij, University of Windsor
Nazmul Kazi, University of North Florida
Nelly Elsayed, University of Cincinnati
Nemanja Djuric, Aurora Innovation
Nestor Mariyasagayam, Hitachi India Pvt. Ltd.
Nga Dinh, Ostfold University College
Ningning Jia, Capital University of Economics and Business
Niyati Baliyan, NIT Kurukshetra
Ömer TÜRK, Mardin Artuklu University
Parth Ganeriwala, Florida Institute of Technology
Patricia Oliveira, University of Sao Paulo
Patrick Krauss, University of Erlangen
Paul Honeine, LITIS Lab, Université de Rouen Normandie
Pedro Furtado, Universidade de Coimbra
Peiquan Jin, University of Science and Technology of China
Peiyu Li, Utah State University
Peter Clapham, University of Kent
Philip Chan, Florida Institute of Technology, USA
Phung Lai, SUNY-Albany
Pinar Karagoz, Middle East Technical University (METU)
Piyush Tagade, Rolls-Royce Singapore
Pouya Hosseinzadeh, Utah State University
Pozna Claudiu, Szechenyi Istvan University, Gyor
Prajwol Lamichhane, University of North Florida
Prateek Verma, University of Arkansas
Praveen Khethavath, LaGuardia Community College, City University of New York
Prof. Dulani Meedeniya, Dept. CSE, University of Moratuwa
Radu-Emil Precup, Politehnica University of Timisoara, Romanian
Reddhi Das, Ahsanullah University of Science & Technology
Régis Sabbadin, INRAE
Richmond Silvanus Baye, University of Vermont
Rodriguez Pedro, Centrale SUPELEC
Rogério Antoniassi, Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso do Sul
Rosina Kharal, University of Waterloo
Rui Gomes, Faculdade de Ciências e Tecnologia da Universidade de Coimbra
Runze Yan, University of Virginia
Rushit DAVE, University Of Wisconsin Eau Claire
Sadia Kamal, Oklahoma State University
Safwen Naimi, TÉLUQ
Sahara Ali, University of Maryland, Baltimore County
saleh almohaimeed, University of central Florida
Salem BENFERHAT, CRIL CNRS University of Artois
Sameer Antani, National Library of Medicine
Sanjana Raj, California State University, Fullerton
Sasa Vrkalovic, University of East Sarajevo
Saurav Sengupta, University of Virginia
Scotty Black, Naval Postgraduate School
Sedat Akleylek, Ondokuz Mayis University
Shadi Banitaan, University of Detroit Mercy, USA
Shen Yin, Harbin Institute of Technology, China
Shuhei Nitta, Toshiba Corporation
Sikiru Adewale, Virginia Tech
Sneha Paul, Concordia University
snekhalatha umapathy, SRMIST
Sónia Teixeira, INESC TEC
Sotiris kotsiantis, University of Patras
Sreenivasan Ramasamy Ramamurthy, Bowie State University
Stephen Adams, Virginia Tech
Sung-Bae Cho, Yonsei University
Sunil Vadera, Salford Universty
Sunny Raj, Oakland University
Syed Nadeem Ahsan, NA
Taghi Khoshgoftaar, Florida Atlantic University
Tanwi Mallick, Argonne National Laboratory
Tanzima Islam, Texas State University
Teng-Sheng Moh, San Jose State University
Tetsuji Ogawa, Waseda University
Thais Rodrigues Neubauer, USP
Ting Fung Lam, Crater Labs
Tomoyuki Uchida, Hiroshima City University, Japan
Tosin Olusola Ige, University of Texas at El Paso
Vasile Palade,
Vasiliki Velona, Hebrew University of Jerusalem
Vijay Gurbani, Illinois Institute of Technology
Wei-Chiang Hong, Asia Eastern University of Science and Technology
William Headley, Virginia Tech
Wonjun Lee, Biola University
Xiaohui Qu, Brookhaven National Lab
Xinyuan Wang, George Mason University
Xiuwen Liu, Florida State University
Xuechen Zhang, Washington State University Vancouver
Xunfei Jiang, California State University, Northridge
Yasutaka Nishimura, KDDI Research, Inc.
Yichun Li, University of Detroit Mercy
Yinglong Xia, Meta
Yongyu Wang, Michigan Technological University
Yordanka Karayaneva, Teesside University
Yuansong Qiao, Athlone Institute of Technology
Yuehan Yin, La Salle University
Yuexia Zhang, The University of Texas at San Antonio
Yuxin Yang, Kent State University
Zag ElSayed, Uc
Zhiwen Xiao, Southwest Jiaotong University
Zhiyuan Chen, University of Maryland Baltimore County, USA
Ziad Kobti, University of Windsor

Call for paper

Important date

2024-07-31
Draft paper submission deadline

ICMLA 2024 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML).

The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges. The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments,games, are especially encouraged.

Contributions describing applications of machine learning (ML)techniques to real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights into the design of ML systems, and papers describing development of new analytical frameworks that advance practical machine learning methods are especially encouraged.

 

The technical program will consist of, but is not limited to, the following topics of interest:

  • statistical learning
  • neural network learning
  • learning through fuzzy logic
  • learning through evolution (evolutionary algorithms)
  • reinforcement learning
  • multi-strategy learning
  • cooperative learning
  • planning and learning
  • multi-agent learning
  • online and incremental learning
  • scalability of learning algorithms
  • inductive learning
  • inductive logic programming
  • Bayesian networks
  • support vector machines
  • case-based reasoning
  • machine learning for bioinformatics and computational biology
  • multi-lingual knowledge acquisition and representation
  • grammatical inference
  • knowledge acquisition and learning
  • knowledge discovery in databases
  • knowledge intensive learning
  • knowledge representation and reasoning
  • machine learning and information retrieval
  • machine learning for web navigation and mining
  • learning through mobile data mining
  • text and multimedia mining through machine learning
  • distributed and parallel learning algorithms and applications
  • feature extraction and classification
  • theories and models for plausible reasoning
  • computational learning theory
  • cognitive modeling
  • deep and transfer learning
  • federated learning
  • machine learning on the edge
  • machine learning for computer vision
  • hybrid learning algorithms
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Important Date
  • Conference Date

    Dec 18

    2024

    to

    Dec 20

    2024

  • Jul 31 2024

    Draft paper submission deadline

Sponsored By
Association for Machine Learning and Applications - AMLA
IEEE Systems, Man, and Cybernetics Society