86 AI MAGAZINE
Sponsoring the International Conference on Indus-
trial, Engineering and Other Applications of Applied
Intelligent Systems for 2019 was Graz University of
Technology, the University of Klagenfurt, and the
International Society of Applied Intelligence. The
meeting was held in cooperation with the Association
for the Advancement of Artificial Intelligence, the
Special Interest Group on Artificial Intelligence/
Association for Computing Machinery, and the
Austrian Society of Artificial Intelligence.
The International Conference on Industrial, Engineering and Other Applications of Applied Intelligent
Systems 2019 continued a tradition, emphasizing
applications of applied intelligent systems that can
solve real-life problems in engineering, science, industry, automation and robotics, business and finance,
medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. For 2019,
the conference’s special focus was on automated driving, autonomous systems, robotics, and artificial intelligence (AI) in tourism.
The program committee comprised 87 international
experts representing almost all fields of AI. The committee was composed of academic and industry experts from 24 different countries. The committee
received 151 abstracts, of which 118 papers were
selected for review. From these submissions, program committee members, along with 41 external
reviewers, selected 41 full papers and 32 short papers.
The acceptance rate for full papers was 34. 75 percent.
The authors of accepted papers came from 38 countries and four continents.
The accepted papers covered a variety of applied
scientific fields where AI methods and tools are successfully deployed, including AI for estimation and
prediction, applied neural networks, autonomous systems and automated driving, data science and security,
decision support systems and recommender systems,
fault detection and diagnosis, intelligent information
storage and retrieval, intelligent systems in real-life
applications, knowledge representation and reasoning, mobile and autonomous robotics, natural
language processing and sentiment analysis, and
Accepted papers were presented by at least one of
their authors in one of the 20 paper sessions of the
technical program. Complementing the technical
talks, the program was supplemented by an extensive
welcome and multiple gala dinner events. Attendees
were also welcomed officially by the mayor’s office
during the opening reception. For more details about
the program, see http://ieaaie2019.ist.tugraz.at/.
In addition to the 20 technical sessions, three key
experts from academia and industry gave keynotes
discussing recent results in respect to applying AI
technology, as well as the current and future challenges that have to be tackled to successfully bring
AI technology into practice.
Reiner John (Infineon, Germany) spoke of the
need for AI methods and techniques in the automo-
tive domain. In his talk, he focused on autonomous
driving, highlighting the importance of safety, and
discussed how carbon emissions can be reduced by
deploying AI technology in this domain. In particular,
Best Paper Awards
The best paper award was presented to Kuruge
Darshana Abeyrathna, Ole-Christoffer Granmo,
Xuan Zhang, and Morten Goodwin for their paper A
Scheme for Continuous Input to the Tsetlin Machine
with Applications to Forecasting Disease Outbreaks.
The best student paper was presented to Bogeun Jo,
Kyungbae Park, and Sung Ho Ha, for their paper
The BRAVO: A Framework of Building Reputation
Analytics from Voice Online. Certificates of merit
were also presented to Erlend Olsvik, Christian M.
D. Trinh, Kristian Muri Knausgård, Arne Wiklund,
Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao,
and Morten Goodwin for Biometric Fish Classifica-
tion of Temperate Species Using Convolutional Neu-
ral Network with Squeeze-and-Excitation; Philippe
Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, and
Uday Kiran for Discovering Stable Periodic-Frequent
Patterns in Transactional Data; Anton Borg, Martin
Boldt, and Johan Svensson for Using Conformal
Prediction for Multi-Label Document Classification
in E-Mail Support Systems; and Ayman A. Atallah,
Ghaith Bany Hamad, and Otmane Ait Mohamed for