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<p class="MsoNormal" align="center" style="text-align:center"><span lang="IT">******************************************************<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span lang="IT">Call for Papers<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center">2nd International Workshop on Industrial Machine Learning<o:p></o:p></p>
<p class="MsoNormal" align="center" style="text-align:center">In conjunction with ICPR 2022<o:p></o:p></p>
<p class="MsoNormal" align="center" style="text-align:center"><a href="https://sites.google.com/view/iml2022">https://sites.google.com/view/iml2022</a><o:p></o:p></p>
<p class="MsoNormal" align="center" style="text-align:center"><span lang="IT">******************************************************<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><o:p> </o:p></p>
<p class="MsoNormal" align="center" style="text-align:center">Apologies for multiple posting<o:p></o:p></p>
<p class="MsoNormal" align="center" style="text-align:center">Please distribute this call to interested parties<o:p></o:p></p>
<p class="MsoNormal" align="center" style="text-align:center"><o:p> </o:p></p>
<p class="MsoNormal" align="center" style="text-align:center"><o:p> </o:p></p>
<p class="MsoNormal">AIMS AND SCOPE<o:p></o:p></p>
<p class="MsoNormal">==============<o:p></o:p></p>
<p class="MsoNormal">With the advent of Industry 4.0 and Smart Manufacturing paradigms, data has become a valuable resource, and very often an asset, for every manufacturing company. Data from the market, from machines, from warehouses and many other sources
are now cheaper than ever to be collected and stored. A study from Juniper Research has identified industrial internet of things (IIoT) as a key growth market over the next five years, accounting for an increase in the global number of IIoT connections from
17.7 billion in 2020 to 36.8 billion in 2025, representing an overall growth rate of 107%. With such an amount of data produced every second, classical data analysis approaches are not useful and only automated learning methods can be applied to produce value,
a market estimated in more than 200B$ worldwide. Using machine learning techniques manufacturers can exploit data to significantly impact their bottom line by greatly improving production efficiency, product quality, and employee safety.<o:p></o:p></p>
<p class="MsoNormal">The introduction of ML to industry has many benefits that can result in advantages well beyond efficiency improvements, opening doors to new opportunities for both practitioners and researchers. Some direct applications of ML in manufacturing
include predictive maintenance, supply chain management, logistics, quality control, human-robot interaction, process monitoring, anomaly detection and root cause analysis to name a few.<o:p></o:p></p>
<p class="MsoNormal">This workshop will ground on the successful story of the first edition, with 19 oral presentations and 3 invited talks, to draw attention to the importance of integrating ML technologies and ML-based solutions into the manufacturing domain,
while addressing the challenges and barriers to meet the specific needs of this sector. Workshop participants will have the chance to discuss:<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo1">needs and barriers for ML in manufacturing<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo1">state-of-the-art in ML applications to manufacturing<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo1">future research opportunities in this domain<o:p></o:p></li></ul>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">TOPICS OF INTEREST<o:p></o:p></p>
<p class="MsoNormal">=================<o:p></o:p></p>
<p class="MsoNormal">This is an open call for papers, soliciting original contributions considering recent findings in theory, methodologies, and applications in the field of industrial machine learning. Position papers presenting industrial use cases and discussing
potential solutions are welcome. Potential topics include, but are not limited to:<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Robustness-oriented learning algorithms<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Machine learning for robotics (e.g. learning from demonstration)<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Continuous and life-long learning for industrial applications<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Transfer learning and domain adaptation<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Anomaly detection and process monitoring<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">ML applications to Predictive Maintenance<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">ML applications to Supply Chain and Logistics<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">ML applications to Quality Control<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">ML for flexible manufacturing<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Deep Learning for industrial applications<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Learning from Big-Data<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Inference in real-time applications<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Machine Learning on Embedded and Edge computing hardware<o:p></o:p></li></ul>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">All the contributions are expected to expose applications to the industrial sector, possibly with real world case studies. Position papers presenting new industrial systems and case studies, possibly reporting preliminary validation studies,
are also encouraged.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">IMPORTANT DATES<o:p></o:p></p>
<p class="MsoNormal">================<o:p></o:p></p>
<p class="MsoNormal">Full Paper Submission: <b>May 7, 2022</b><o:p></o:p></p>
<p class="MsoNormal">Notification of Acceptance: May 28, 2022<o:p></o:p></p>
<p class="MsoNormal">Camera-Ready Paper Due: June 6, 2022 <o:p></o:p></p>
<p class="MsoNormal">Workshop date: August 21, 2022<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">In case of rejection from ICPR main conference, authors can submit their work to the IML workshop by May 18, 2020. Authors should address all ICPR reviewers' comments in the submitted paper and submit the ICPR reviews as supplementary material.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">SUBMISSION GUIDELINES<o:p></o:p></p>
<p class="MsoNormal">=====================<o:p></o:p></p>
<p class="MsoNormal">Papers must be prepared according to the <a href="https://www.icpr2022.com/submission-guidelines/">
ICPR guidelines</a>. All papers will be reviewed by at least two reviewers with single-blind peer review policy. Papers will be selected based on relevance, significance and novelty of results, technical merit, and clarity of presentation. Papers will be published
in ICPR proceedings. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">All the papers must be submitted using CMT submission server:
<a href="https://cmt3.research.microsoft.com/IML2022">https://cmt3.research.microsoft.com/IML2022</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">ORGANIZING COMMITTEE<o:p></o:p></p>
<p class="MsoNormal">=====================<o:p></o:p></p>
<p class="MsoNormal"><span lang="IT">Luigi Di Stefano, University of Bologna, Italy<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT">Massimiliano Mancini, Univeristy of Tubingen, Germany<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT">Vittorio Murino, University of Verona, Italy<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT">Paolo Rota, University of Trento, Italy<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT">Francesco Setti, University of Verona, Italy<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="IT"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:10.0pt;font-family:"Courier New";color:gray">--<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:10.0pt;font-family:"Courier New";color:gray">Francesco Setti, Ph.D.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:10.0pt;font-family:"Courier New";color:gray">Assistant Professor (RTD-b)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:gray">Department of Computer Science<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:gray">University of Verona<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:10.0pt;font-family:"Courier New";color:gray">Room 1.64 - Ca' Vignal 2<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT" style="font-size:10.0pt;font-family:"Courier New";color:gray">Strada le Grazie 15 - 37134 Verona (Italy)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:gray">Email:
<a href="mailto:francesco.setti@univr.it"><span style="color:gray">francesco.setti@univr.it</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:gray">Homepage:
<a href="http://www.franzsetti.info/"><span style="color:gray">www.franzsetti.info</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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