[visionlist] [CFP] 2nd International Workshop on Industrial Machine Learning -- Satellite ICPR 2022 workshop

Vittorio Murino Vittorio.Murino at iit.it
Wed May 11 03:13:25 -04 2022

Apologize for multiple postings

Call for Papers

2nd International Workshop on Industrial Machine Learning

In conjunction with ICPR 2022


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.

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.

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:
     - needs and barriers for ML in manufacturing
     - state-of-the-art in ML applications to manufacturing
     - future research opportunities in this domain

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:

     - Robustness-oriented learning algorithms
     - Machine learning for robotics (e.g. learning from demonstration)
     - Continuous and life-long learning for industrial applications
     - Transfer learning and domain adaptation
     - Anomaly detection and process monitoring
     - ML applications to Predictive Maintenance
     - ML applications to Supply Chain and Logistics
     - ML applications to Quality Control
     - ML for flexible manufacturing
     - Deep Learning for industrial applications
     - Learning from Big-Data
     - Inference in real-time applications
     - Machine Learning on Embedded and Edge computing hardware

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.

Full Paper Submission: June 6, 2022
Notification of Acceptance: June 20, 2022
Camera-Ready Paper Due: June 30, 2022
Workshop date: August 21, 2022

In case of rejection from ICPR main conference, authors can submit their 
work to the IML workshop. Authors should address all ICPR reviewers' 
comments in the submitted paper and submit the ICPR reviews as 
supplementary material.

Papers must be prepared according to the ICPR guidelines. 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.
All the papers must be submitted using CMT submission server: 

Luigi Di Stefano, University of Bologna, Italy
Massimiliano Mancini, Univeristy of Tubingen, Germany
Vittorio Murino, University of Verona, Italy
Paolo Rota, University of Trento, Italy
Francesco Setti, University of Verona, Italy



Vittorio Murino

Prof. Vittorio Murino, Ph.D.

PAVIS - Pattern Analysis & Computer Vision
Istituto Italiano di Tecnologia
via Enrico Melen 83, Building B, Floor 8
16152 Genova, Italy

Mobile: +39 329 6508554
E-mail:vittorio.murino at iit.it

Secretary: Sara Curreli
email:	sara.curreli at iit.it
Phone: 	+39 010 2897420

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