Abstract is missing.
- Self Hyper-parameter Tuning for Stream Classification AlgorithmsBruno Veloso, João Gama 0001. 3-13 [doi]
- Challenges of Stream Learning for Predictive Maintenance in the Railway SectorMinh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet. 14-29 [doi]
- CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple SensorsHadi Fanaee-T, Mohamed-Rafik Bouguelia, Mahmoud Rahat, Jonathan Blixt, Harpal Singh. 30-44 [doi]
- Valve Health Identification Using Sensors and Machine Learning MethodsMuhammad Atif Qureshi 0001, Luis Miralles Pechuán, Jason Payne, Ronan O'Malley, Brian Mac Namee. 45-60 [doi]
- Failure Detection of an Air Production Unit in Operational ContextMariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama 0001. 61-74 [doi]
- Enhancing Siamese Neural Networks Through Expert Knowledge for Predictive MaintenancePatrick Klein, Niklas Weingarz, Ralph Bergmann. 77-92 [doi]
- Explainable Process Monitoring Based on Class Activation Map: Garbage In, Garbage OutCheolhwan Oh, Junhyung Moon, Jongpil Jeong. 93-105 [doi]
- AutoML for Predictive Maintenance: One Tool to RUL Them AllTanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier. 106-118 [doi]
- Forklift Truck Activity Recognition from CAN DataKunru Chen, Sepideh Pashami, Slawomir Nowaczyk, Emilia Johansson, Gustav Sternelöv, Thorsteinn S. Rögnvaldsson. 119-126 [doi]
- Embeddings Based Parallel Stacked Autoencoder Approach for Dimensionality Reduction and Predictive Maintenance of VehiclesVandan Revanur, Ayodeji Ayibiowu, Mahmoud Rahat, Reza Khoshkangini. 127-141 [doi]
- 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 MachineYonas Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers. 145-159 [doi]
- Unsupervised Anomaly Detection for Communication Networks: An Autoencoder ApproachPieter Bonte, Sander Vanden Hautte, Annelies Lejon, Veerle Ledoux, Filip De Turck, Sofie Van Hoecke, Femke Ongenae. 160-172 [doi]
- Interactive Anomaly Detection Based on Clustering and Online Mirror DescentLingyun Cheng, Sadhana Sundaresh, Mohamed-Rafik Bouguelia, Onur Dikmen. 173-186 [doi]
- hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic HardwarePhilipp Spilger, Eric Müller 0001, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel. 189-200 [doi]
- Inference with Artificial Neural Networks on Analog Neuromorphic HardwareJohannes 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. 201-212 [doi]
- Search Space Complexity of Iteration Domain Based Instruction Embedding for Deep Learning AcceleratorsDennis Rieber, Holger Fröning. 213-228 [doi]
- On the Difficulty of Designing Processor Arrays for Deep Neural NetworksKevin Stehle, Günther Schindler, Holger Fröning. 229-240 [doi]
- When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual InformationLaura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo. 243-255 [doi]
- Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network PlatformChristopher Cichiwskyj, Chao Qian 0009, Gregor Schiele. 256-267 [doi]
- ML Training on a Tiny Microcontroller for a Self-adaptive Neural Network-Based DC Motor Speed ControllerFrederik Funk, Thorsten Bucksch, Daniel Mueller-Gritschneder. 268-279 [doi]
- Dynamic Complexity Tuning for Hardware-Aware Probabilistic CircuitsLaura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst. 283-295 [doi]
- Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge MicrocontrollersManuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini. 296-308 [doi]