October 12 to 17 • Mexico City, Mexico
current contingence because of COVID, the Conference Committee
decided to move MICAI 2020 to a virtual modality.
The safety and health of the participants is a priority.
Also, due to this situation, the conference registration fee for each paper was reduced to
$2,000.00 MXN or $100.00 USD.
RCS and invitation to special issue of journal:
Applied Sciences (JCR Q2, Impact Factor 2.474).
A reduced number of selected papers will be published in Computación y Sistemas and Polibits.
Ljiljana Trajkovic, Pedro Larrañaga, Manuel Morales, Soujanya
Poria, Hiram Calvo and Mario Köppen.
Collocated: Workshops / Call for Workshops, Tutorials/ Call for Tutorials, Doctoral Consortium/Call for Doctoral Consortium
characterized by Springer as premier conference in Artificial
Intelligence. It is a
high-level peer-reviewed international conference covering all areas of
Intelligence, traditionally held in
All previous editions of MICAI were published in Springer LNAI (WoS, Scopus, EI). At past MICAI events, extended versions of a considerable number of the LNAI papers were invited to special issues of journals, including ISI JCR-indexed journals; see for example a special issue on MICAI of Expert Systems with Applications. Recent MICAI events received over 300–400 submissions from over 40 countries each, with acceptance rate around 25% for the main session.
Publication: Papers accepted for long oral presentation will be published by Springer in a volume of the series Lecture Notes in Artificial Intelligence (LNAI). Best papers awards will be granted to the 1st, 2nd and 3rd places. Special issues of journals are anticipated for best papers. Extended versions of selected papers are expected to be invited to special issues of journals, including ISI JCR-indexed journals. Traditionally at MICAI, the results of the SMIA Best Thesis in Artificial Intelligence Contest are announced.
Deadline extension: July 24
|July 24, 2020||
Uploading of full text of registered papers for blind review.
|July 31, 2020||
|August 14, 2020||
Camera-ready and payment deadlines for LNAI papers only
|Publication||Camera ready deadline|
|CyS||August 23, to be published in September 2020|
|CyS||November 13, to be published in December 2020|
|Polibits||August 30 (contact the editor if you need more time)|
Ljiljana Trajkovic is a Professor in the School of Engineering Science
at Simon Fraser University, Burnaby, British Columbia, Canada.
She received the Ph.D. degree in electrical engineering from the
University of California at Los Angeles. Her research interests include
high-performance communication networks, control of communication
systems, computer-aided circuit analysis, and design, and theory of
nonlinear circuits and dynamical systems.
Dr. Trajkovic is a Distinguished Lecturer of the
IEEE Systems, Man, and Cybernetics Society (2020–2021). She is a Life
Fellow of the IEEE.
Pedro Larrañaga, Technical University of Madrid, UPM, España.
Bio: Pedro Larrañaga is Full Professor in Computer Science and Artiﬁcial Intelligence at the Technical University of Madrid (UPM) since 2007. He received the MSc degree in mathematics (statistics) from the University of Valladolid and the PhD degree in computer science from the University of the Basque Country.
He has published more than 200 papers in high impact factor journals and has supervised 31 PhD theses. He is fellow of the European Association for Artificial Intelligence since 2012 and fellow of the Academia Europaea since 2018. He has been awarded the 2013 Spanish National Prize in Computer Science, the prize of the Spanish Association for Artificial Intelligence in 2018 and the Amity Research Award in Machine Learning in New Delhi, in 2020.
His research interests are primarily in the areas of probabilistic graphical models, metaheuristics for optimization, data mining, classification models, and real applications, like biomedicine, bioinformatics, neuroscience, industry 4.0 and sports.
Manuel Morales, University of Montreal, Canadá.
The role of artificial intelligence in the transformation of the banking sector
Abstract: In the past ten years, we have witnessed the evolution of the concept of artificial intelligence towards a concept that has captured the collective imagination with its promises of transformation. Machine learning and its flagship applications: Alpha Go, the autonomous car, image recognition, machine translation, etc., have created expectations in terms of the transformative potential of certain sectors of economic activity. Historically, the banking sector has been a kind of ocean liner that has struggled to change direction. In terms of technological innovation, banks have been overtaken by the fintech ecosystem in terms of agility. As banks try to catch up, it's important to take a hard look at the promise of artificial intelligence and what it means for the banking industry. In this presentation, we will discuss the transformation potential that artificial intelligence brings to the sector, but also the challenges that this transformation represents. We will discuss these questions around some examples of the application of machine learning in banking and capital markets.
Bio: He holds a Ph.D. on Statistics from Concordia University. He held a position as an Assistant Professor at York University in Toronto from where he moved to Montreal where he is a professor in mathematics at the University of Montreal since 2005. He serves on the Board of Directors of Koïos Intelligence and as scientific advisor of Kapitalwise, two emerging companies in the field of AI in finance and insurance.
He is an experienced scientist and leader in the field of Artificial Intelligence in banking who often gets called upon for his knowledge and experience in creating business value through AI. He has experience in accompanying businesses through their digital transformation. Based on his scientific expertise, he seizes the threads of opportunity that wind through an organization and helps transform them into value propositions, He remains a member of the scientific community which gives him a valuable perspective and credibility as he links up and aligns technical data science teams with product owners/managers into a coherent AI transformation strategy.
As Chief AI Scientist at National Bank of Canada, the sixth largest commercial bank in Canada, Manuel oversaw the scientific component of the AI transformation initiative of twenty billion dollar plus banking institution.He successfully contributed to the strategy and operationalization of an ambitious initiative that seeks to transform the bank’s processes and services through artificial intelligence. In particular, his involvement in the worldwide discussion on AI Ethics and his commitment with responsible AI deployments gives him a unique perspective that has become an asset for the ongoing AI transformation initiative since a comprehensive AI governance and ethics remain key to successful deployments. His work with National Bank was featured in an interview piece in Forbes on-line magazine in May 2020.
He continues to conduct his research and teaching activities at the University of Montreal where he is the director of the FinML network, whose mandate is to train the next AI-enabled generation of finance and banking professionals. He has also established himself as a well- known presence in the Montreal FinTech ecosystem where he is a scientific advisor of the Holt Accelerator, one of the leading accelerators in Montreal targeting seed start-up’s, as well as one co-founder of the OCF Group, a venture building group that leverages Montreal AI talent in order to help start-up’s to go from series A to series B through machine learning technology. He is regularly called upon deliver talks and share his experience on AI transformation in banking and on AI Ethics and Governance in Finance as well as to organize tailored executive workshops for financial institutions engaged in their own AI transformation initiative.
University of Technology and Design,
Utterance-level Dialogue Understanding
Abstract: The recent abundance of conversational data on the Web and elsewhere calls for effective NLP systems for dialog understanding. Complete utterance-level understanding often requires context understanding, defined by nearby utterances. In recent years, a number of approaches have been proposed for various utterance-level dialogue understanding tasks. Most of these approaches account for the context for effective understanding. In this talk, I will explore and quantify the role of context for different aspects of a dialogue, namely emotion, intent, and dialogue act identification, using state-of-the-art dialog understanding methods as baselines. Specifically, I will discuss various perturbations to distort the context of a given utterance and study its impact on the different tasks and baselines. This provides us with insights into the fundamental contextual controlling factors of different aspects of a dialogue. Such insights can inspire more effective dialogue understanding models, and provide support for future text generation approaches. The implementation pertaining to this talk is available at https://github.com/declare-lab/ dialogue-understanding.
Bio: Soujanya Poria an assistant professor of Computer Science at the Singapore University of Technology and Design (SUTD), Singapore. He holds a Ph.D. degree in Computer Science from the University of Stirling, UK. Soujanya was a recipient of the prestigious early career research award called 'NTU Presidential Postdoctoral Fellowship' in 2018 which offers him a research grant worth US$150,000. Before taking up the presidential fellowship position at the NTU, he was a scientist at the A*STAR and the Temasek Laboratory, NTU. He is also PI of multiple academic and industrial grants with the amount totaling to US$ 1,500,000.
He has co-authored more than 100 papers, published in top-tier conferences and journals such as ACL, EMNLP, AAAI, NAACL, Neurocomputing, Computational Intelligence Magazine, etc. At present, he is also affiliated with A*STAR, Singapore as a senior scientist. He was an area co-chair at ACL 2020, NAACL 2019, EMNLP 2020, 2019, and a publicity chair at *SEM 2019. He served as a senior PC member at AAAI 2019, IJCAI 2019, and often serve as a PC member in reputed conferences such as ACL, EMNLP, IJCAI, NAACL. He has given several invited talks at venues like CICLing 2018 which is a large international NLP conference, SocialNLP 2019. He has Google Scholar citations of more than 8000 and my h-index is 44. Recently, he has been awarded the IEEE CIM outstanding paper award. Three of his papers are listed as Web of Science highly cited papers in the field of Computer Science. Recently, in an article published in the Journal of Information Sciences, he has been listed as one of the most prolific and impactful researchers from 2000 to 2016 in the field of sentiment analysis.
Hiram Calvo Castro,
Artificial Intelligence and Natural Minds
Abstract: Connections between Artificial Intelligence and
other sciences go back and forth. On the one hand, AI has tried to
replicate human capabilities and behavior, making use of studies in
Neurosciences, Linguistics and Cognition; on the other hand, these in
turn have been benefited from the computational models created based on
their theories, as in Computational Linguistics, for example.
Bio: Full-time professor at the Center for Computing Research of the National Polytechnic Institute, Mexico. He is a member of the National System of Researchers Level II.
Research interest. Computational Linguistics, Lexical Semantics and Learning Algorithms.
Kyuhsu Institute of Technology, Fukuoka, Japan.
Human-Centered Computing: Transdisciplinary science of the human embodiment in intelligent computing
Abstract: Human-Centered Computing (HCC) is a transdisciplinary science linking the recently popular intelligent technologies (Artificial Intelligence, Computational Intelligence, Soft Computing, Machine Learning, Pattern Recognition, Data Mining) with all sensations of a human embodiment. HCC will usually integrate two or more techniques to tackle challenging problems or find a practical application, having the human or human sense or reach expansion, or to compensate for human impediments as a central theme: image and signal processing (to enrich the human visual system), networking and collaborative systems (the human as a social being), security, physiology/psychology, sentiment analysis, smart recommendation systems, science of preferences, up to aspects of political economy and complex systems theory. In this talk, after a short account of the historical development of the discipline, it will be illustrated why a single technique isn't sufficient to solve a number of tasks and why their integration is needed. The question whether there is a "human way" of computing, different from what a typical computer is doing these days, will find a positive and intuitive answer. Apart from those examples, recalling Gestalt psychology, as well as neural paradigms like Hierarchical-Temporal-Memory (HTM) preceding popular neural architectures these days, will help to make the links, independence and need for a new discipline here even more obvious. Based on such more theoretical backing, we can find a number of potential or already existing applications, esp. with regard to human assessment of ranking, social network models, thermal imaging, among others.
Bio: Mario Köppen is a Professor in the Graduate School for Creative, Informatics at the Kyuhsu Institute of Technology, Fukuoka, Japan. He has published more than 150 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as chair or member of the program committee, incl. the WSC on-line conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is founding member of the World Federation of Soft Computing, and also Associate Editor of the Applied Soft Computing journal. In 2006, he became JSPS fellow at the Kyushu Institute of Technology in Japan, and in 2008 Professor at the Network Design and Reserach Center (NDRC) and 2013 Professor at the Graduate School of Creative Informatics of the Kyushu Institute of Technology, where he is conducting now research in the fields of multi-objective and relational optimization, digital convergence and multimodal content management.
Research interest. Mario Köppen is an expert in Pattern Recognition, Image Processing, Soft Computing, Computational Intelligence, Security Technologies, (Multi-Objective) Optimization, and Algorithm Theory.
Topics of interest are all areas of Artificial Intelligence, including but not limited to:
The registration fee amount for authors is USD 100.00 or MXN 2,000. This includes one paper only. If one author has more than one accepted paper, in order for the papers to be published the fee is to be paid for each of them independently. If you pay via bank transfer or PayPal, you should add the bank fees, so the amount that you will pay will be higher. In summary:
|Bank from Mexico||Bank from abroad||PayPal|
|For each paper||
USD 100 plus bank fees
(use a single payment)
|MXN $200.00||USD 10 plus bank fees||USD 10|
This fee includes publication of one paper (up to the page limit) in any of the proceedings volumes or journal issues derived from the conference.
the fee to any of the following accounts in Mexican pesos:
You can find more details here.
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We solicit original research papers written in English. The submissions must not have been previously published or be under review for another conference or journal. Only complete and finished papers will be reviewed, not abstracts. After your paper is accepted you will have a chance to improve it according the comments of the reviewers, but the reviewers will assume that the text that they are reading is the text that is to be published, with the only changes they explicitly request (as opposed to reviewing a draft or abstract). In particular, the papers must be submitted in the required format. We reserve the right to reject without review the submissions that do not follow the format guidelines.
Submission procedure. Submissions are received electronically. The submission and reviewing procedure is handled the the EasyChair system. To submit a paper:
If you have not a user of the EasyChair system, you will need to register using the "I have no EasyChair account" button. Please do not send us your submissions by email. Please contact us in case of problems.
Submission is done in two phases. First, by the expression of interest deadline, we only need the tentative title and a draft abstract of your paper (you can change this later); they will be used only to reserve the appropriate reviewers for your paper - why not doing it right now? Later, by the full paper submission deadline, we will need the full text of your paper, as a PDF file. Both the draft abstract and full paper are uploaded via the EasyChair system. If you read this late, or need more time, you can upload your paper while the system is open, or contact us for late submissions.
Submission of the paper assumes that at least one author will register at the conference and present an accepted paper or poster. Full registration fee should be paid for each accepted paper.
Size. Registration fee for authors includes publication of a paper of up to 12 pages, though more pages can be used for a small additional fee. We strongly encourage authors to use as many pages as really necessary for an excellent paper: longer papers have better impact and receive more citations. Do not sacrifice the quality of your paper to squeeze it into the page limit.
For each page that exceeds this limit small extra fee of USD 10 will be charged. If your page exceeds 20 pages, please contact the organizers first. The additional fee is charged for the pages exceeding the page limit in either the version submitted for review or in the camera-ready version, whichever is greater. In particular, you must not shorten the camera-ready version in comparison with the version submitted for review unless the reviewers required this (contact us if you feel you should do shorten it; in any case this would not reduce the fee). However, we encourage you to use as many pages as you really need for an excellent paper, even if you will pay a very small fee for it -- that it, we recommend you not to sacrifice clarity and completeness of your paper for the page limit.
Double blind review policy: the review procedure is double blind. Thus the papers submitted for review must not contain the authors' names, affiliations, or any information that may disclose the authors' identity (this information is to be restored in the camera-ready version upon acceptance). In particular, in the version submitted for review please avoid explicit auto-references, such as "in  we show" -- consider "in  it is shown". I.e., you may cite your own previous works provided that it is not deducible from the text that the cited work belongs to the authors. When citing your previous work, please keep the names:
Incorrect: In  we have shown ...
1. <Hidden for review>, Syntactic Structures, The Hague, Mouton, 1957.
In  it was shown ...
1. Chomsky, N., Syntactic Structures, The Hague, Mouton, 1957.
To get your invoice for the workshops send an email to "micai2020 at smia.mx" with the information in the subject with format "INVOICE - Workshop NAME paper # TITLE" and please attach your payment proof as well as your tax data including the MEXICAN SAT classification, payment classification, quantity and postal address).
MICAI 2020 will be held in Mexico City, Mexico: Universidad Panamericana.
The general schedule of the conference will be as follows:
Conference chair: Félix Castro (UAEH - fcastroe AT gmail.com)
Oscar Herrera (UAM - oha AT azc.uam.mx)
Ma. Lourdes Martínez (UP - lmartine AT up.edu.mx)
Local chair: Hiram Ponce (UP - hponce AT up.edu.mx)
Alan Calderón Velderrain
Alejandro Israel Barranco Gutiérrez
Andre de Carvalho
Ángel Rodríguez Liñan
Antonio Marín Hernández
Ari Yair Barrera-Animas
Aurelio Alejandro Santiago Pineda
Bella Citlali Martínez-Seis
C. Alberto Ochoa-Zezatti
Diana Laura Vergara
Edgardo Manuel Felipe Riverón
Efraín Solares Lachica
Elva Lilia Reynoso Jardón
Eric S. Tellez
Felix Castro Espinoza
Fernando Von Borstel
Gabriel Sepúlveda Cervantes
Garibaldi Pineda García
Genoveva Vargas Solar
Gilberto Ochoa Ruiz
Giner Alor Hernandez
Iris Iddaly Méndez-Gurrola
J. Victor Carrera-Trejo
Joaquín Gutiérrez Juaguey
José A. Reyes-Ortiz
José Alberto Hernández
José Ángel González Fraga
José Antonio León-Borges
José Carlos Ortiz-Bayliss
José David Alanís Urquieta
Juan Martínez Miranda
Juan Jose Flores
Luis Torres Treviño
Luis Humberto Sánchez Medel
Merlin Teodosia Suarez
Miguel Ángel Zúñiga García
Miguel Ángel Alonso Arévalo
Nareli Cruz Cortés
Nestor Velasco Bermeo
Noé Alejandro Castro-Sánchez
Noel Enrique Rodriguez Maya
Norberto Castillo García
Omar Montaño Rivas
Omar Jehovani López Orozco
Paula Hernández Hernández
Pedro Pablo Gonzalez
Rafael Guzman Cabrera
Ramon F. Brena
Rodrigo Lopez Farias
Roilhi Frajo Ibarra Hernández
Roman Anselmo Mora-Gutierrez
Romeo Sanchez Nigenda
Ruben Cariño Escobar
Saturnino Job Morales Escobar
Saúl Zapotecas Martínez
Sofia N. Galicia-Haro
Tania Aglaé Ramírez Del Real
Yenny Villuendas Rey
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Not to be confused with MICCAI.