IoT Streams/ITEM@PKDD/ECML

Publications

2020

Hadi Fanaee-T, Mohamed-Rafik Bouguelia, Mahmoud Rahat, Jonathan Blixt, Harpal Singh
CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors. IoT Streams/ITEM@PKDD/ECML (2020)
Cheolhwan Oh, Junhyung Moon, Jongpil Jeong
Explainable Process Monitoring Based on Class Activation Map: Garbage In, Garbage Out. IoT Streams/ITEM@PKDD/ECML (2020)
Yonas Y. Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers
Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine. IoT Streams/ITEM@PKDD/ECML (2020)
Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
Failure Detection of an Air Production Unit in Operational Context. IoT Streams/ITEM@PKDD/ECML (2020)
Vandan Revanur, Ayodeji Ayibiowu, Mahmoud Rahat, Reza Khoshkangini
Embeddings Based Parallel Stacked Autoencoder Approach for Dimensionality Reduction and Predictive Maintenance of Vehicles. IoT Streams/ITEM@PKDD/ECML (2020)
Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML (2020)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst
Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits. IoT Streams/ITEM@PKDD/ECML (2020)
Muhammad Atif Qureshi, Luis Miralles-Pechuán, Jason Payne, Ronan O'Malley, Brian Mac Namee
Valve Health Identification Using Sensors and Machine Learning Methods. IoT Streams/ITEM@PKDD/ECML (2020)
Bruno Veloso, João Gama
Self Hyper-parameter Tuning for Stream Classification Algorithms. IoT Streams/ITEM@PKDD/ECML (2020)
Kunru Chen, Sepideh Pashami, Slawomir Nowaczyk, Emilia Johansson, Gustav Sternelöv, Thorsteinn S. Rögnvaldsson
Forklift Truck Activity Recognition from CAN Data. IoT Streams/ITEM@PKDD/ECML (2020)
Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier
AutoML for Predictive Maintenance: One Tool to RUL Them All. IoT Streams/ITEM@PKDD/ECML (2020)
Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet
Challenges of Stream Learning for Predictive Maintenance in the Railway Sector. IoT Streams/ITEM@PKDD/ECML (2020)
Dennis Rieber, Holger Fröning
Search Space Complexity of Iteration Domain Based Instruction Embedding for Deep Learning Accelerators. IoT Streams/ITEM@PKDD/ECML (2020)
Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers. IoT Streams/ITEM@PKDD/ECML (2020)
Christopher Cichiwskyj, Chao Qian, Gregor Schiele
Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network Platform. IoT Streams/ITEM@PKDD/ECML (2020)
Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann, Arne Emmel, Eric Müller, Oliver Breitwieser, Andreas Grübl, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Christian Mauch, Korbinian Schreiber, Johannes Schemmel
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML (2020)
Pieter Bonte, Sander Vanden Hautte, Annelies Lejon, Veerle Ledoux, Filip De Turck, Sofie Van Hoecke, Femke Ongenae
Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach. IoT Streams/ITEM@PKDD/ECML (2020)
Patrick Klein, Niklas Weingarz, Ralph Bergmann
Enhancing Siamese Neural Networks Through Expert Knowledge for Predictive Maintenance. IoT Streams/ITEM@PKDD/ECML (2020)
Lingyun Cheng, Sadhana Sundaresh, Mohamed-Rafik Bouguelia, Onur Dikmen
Interactive Anomaly Detection Based on Clustering and Online Mirror Descent. IoT Streams/ITEM@PKDD/ECML (2020)
Kevin Stehle, Günther Schindler, Holger Fröning
On the Difficulty of Designing Processor Arrays for Deep Neural Networks. IoT Streams/ITEM@PKDD/ECML (2020)
Frederik Funk, Thorsten Bucksch, Daniel Mueller-Gritschneder
ML Training on a Tiny Microcontroller for a Self-adaptive Neural Network-Based DC Motor Speed Controller. IoT Streams/ITEM@PKDD/ECML (2020)
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information. IoT Streams/ITEM@PKDD/ECML (2020)

volume 1325, 2020

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers IoT Streams/ITEM@PKDD/ECML 1325 (2020)