Research graph
References from PRISMA: Physically-Aware Reasoning and Intelligent Semantic Mining Architecture for IoT Process Discovery Using Deep Learning and Large Language Models. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2024 · External reference
10.1109/comst.2015.2444095
10.1109/comst.2015.2444095 · External reference
10.1002/widm.1350
10.1002/widm.1350 · External reference
10.1109/jiot.2014.2306328
10.1109/jiot.2014.2306328 · External reference
Unresolved reference
2023 · External reference
10.1007/978-3-662-49851-4
10.1007/978-3-662-49851-4 · External reference
10.1109/ieeestd.2023.10267858
10.1109/ieeestd.2023.10267858 · External reference
10.1007/978-3-642-38697-8_17
10.1007/978-3-642-38697-8_17 · External reference
10.3233/ica-2003-10205
10.3233/ica-2003-10205 · External reference
10.1007/s10115-018-1214-x
10.1007/s10115-018-1214-x · External reference
10.1109/msmc.2020.3003135
10.1109/msmc.2020.3003135 · External reference
10.1109/edocw49879.2020.00016
10.1109/edocw49879.2020.00016 · External reference
10.1007/978-3-319-56994-9_18
10.1007/978-3-319-56994-9_18 · External reference
Temporal conformance checking at runtime based on time-infused process models
2020 · External reference
10.1109/icpm53251.2021.9576856
10.1109/icpm53251.2021.9576856 · External reference
10.1016/j.is.2015.03.010
10.1016/j.is.2015.03.010 · External reference
Framework for process discovery from sensor event data
2018 · External reference
10.14778/3364324.3364332
10.14778/3364324.3364332 · External reference
10.1162/neco.1997.9.8.1735
10.1162/neco.1997.9.8.1735 · External reference
Semi-supervised classification with graph convolutional networks
External reference
Graph attention networks
External reference
10.1109/cvpr.2017.113
10.1109/cvpr.2017.113 · External reference
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
2018 · External reference
10.1007/s10994-018-5702-8
10.1007/s10994-018-5702-8 · External reference
10.1007/978-3-319-59536-8_30
10.1007/978-3-319-59536-8_30 · External reference
10.1007/978-3-319-93417-4_38
10.1007/978-3-319-93417-4_38 · External reference
10.1016/j.scs.2020.102332
10.1016/j.scs.2020.102332 · External reference
10.1109/tnnls.2020.2978386
10.1109/tnnls.2020.2978386 · External reference
10.48550/arxiv.1810.04805
10.48550/arxiv.1810.04805 · External reference
10.48550/arxiv.1907.11692
10.48550/arxiv.1907.11692 · External reference
10.18653/v1/d19-1410
10.18653/v1/d19-1410 · External reference
10.1007/978-3-031-17604-3_11
10.1007/978-3-031-17604-3_11 · External reference
10.18653/v1/n16-1030
10.18653/v1/n16-1030 · External reference
Language models are few-shot learners
External reference
GPT-4 technical report
2023 · External reference
10.52202/068431-1800
10.52202/068431-1800 · External reference
Retrieval-augmented generation for knowledge-intensive NLP tasks
External reference
10.1007/978-3-031-50974-2_34
10.1007/978-3-031-50974-2_34 · External reference
10.18653/v1/2024.acl-long.810
10.18653/v1/2024.acl-long.810 · External reference
10.1016/j.jcp.2018.10.045
10.1016/j.jcp.2018.10.045 · External reference
10.1109/ic3tes62412.2024.10877481
10.1109/ic3tes62412.2024.10877481 · External reference
10.1038/s42254-021-00314-5
10.1038/s42254-021-00314-5 · External reference
10.1016/j.jcp.2020.109913
10.1016/j.jcp.2020.109913 · External reference
10.1016/j.cma.2019.112623
10.1016/j.cma.2019.112623 · External reference
10.1016/j.websem.2015.12.004
10.1016/j.websem.2015.12.004 · External reference
10.1007/s13740-014-0038-4
10.1007/s13740-014-0038-4 · External reference
10.1016/b978-0-12-799959-3.00021-5
10.1016/b978-0-12-799959-3.00021-5 · External reference
Reviving token-based replay: Increasing speed while improving diagnostics
External reference
10.1007/978-3-642-15618-2_16
10.1007/978-3-642-15618-2_16 · External reference
Unresolved reference
2004 · External reference
10.1145/2993422.2993577
10.1145/2993422.2993577 · External reference
Adam: A method for stochastic optimization
External reference
Decoupled weight decay regularization
External reference
10.1109/iccv.2015.123
10.1109/iccv.2015.123 · External reference
Understanding the difficulty of training deep feedforward neural networks
External reference
PyTorch: An imperative style, high-performance deep learning library
External reference
10.18653/v1/2020.emnlp-demos.6
10.18653/v1/2020.emnlp-demos.6 · External reference
Fast graph representation learning with PyTorch geometric
External reference
Process mining for Python (PM4Py): Bridging the gap between process- and data science
2019 · External reference
10.1016/j.artmed.2017.07.002
10.1016/j.artmed.2017.07.002 · External reference
10.1109/tbdata.2019.2921572
10.1109/tbdata.2019.2921572 · External reference
10.1016/j.sigpro.2019.107299
10.1016/j.sigpro.2019.107299 · External reference
10.3233/fi-2020-1946
10.3233/fi-2020-1946 · External reference
Communication-efficient learning of deep networks from decentralized data
External reference
LoRA: Low-rank adaptation of large language models
External reference
10.1007/978-3-030-05318-5
10.1007/978-3-030-05318-5 · External reference
