Papers matching “deep learning prediction” 60
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Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks : 8th - 9th July 2020 ; 3rd International Conference on Machine Learning an AI in (bio)Chemical Engineering2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Computational Drug Discovery Methods Open access
Jan G. Rittig, Artur M. Schweidtmann, Andrea Anna König, Manuel Dahmen, Martin Grohe, Alexander Mitsos
0citations -
Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more
0citations -
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning2020 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Mario Rüttgers, Seong Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann
7citations -
From Diagnostic CT to DTI Tractography Labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage2025 Lecture notes in computer science conference-paper Medicine Intracerebral and Subarachnoid Hemorrhage Research Open access
Olivia N Murray, Hamied A. Haroon, Paul Ryu, Hiren C. Patel, George Harston, Marieke J.H. Wermer, +6 more
2citations -
Deep learning can predict PNPLA3 I148M homozygous carriers in SLD patients based on MRIs from UK Biobank2025 Zeitschrift für Gastroenterologie conference-paper Medicine Liver Disease Diagnosis and Treatment
Yazhou Chen, Benjamin P. M. Laevens, Teresa Lemainque, Gustav Anton Müller‐Franzes, Tobias Seibel, Carola Dlugosch, +19 more
0citations -
AI-based Framework for Deep Learning Applications in Grinding2020 IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) conference-paper Engineering Advanced machining processes and optimization cited by 2 patents
Philipp Niemietz, Daniel Trauth, Wolfgang Maas, Thomas Bergs
14citations -
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird’s Eye View108citations
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Lessons Learned from a Field Study on Deep-Learning-Based Model Predictive Control for Optimizing the Operation of Façade Ventilation Units2025 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Clara-Larissa Lorenz, Oliver Abele, Jérôme Frisch, Christoph van Treeck
0citations -
A Hardware-Aware Performance Analysis of Machine Learning Models for Sensor-Aided Millimeter-Wave Beam Prediction2026 International Conference on Communications conference-paper Engineering Millimeter-Wave Propagation and Modeling Open access
Barış Sayitoğlu, Arish Sateesan, Marina Petrova, Ljiljana Simić
0citations -
Comparison of deep learning and hand crafted features for mining simulation data2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Physics and Astronomy Model Reduction and Neural Networks
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
1citations -
DeepAttack: A Deep Learning Based Oracle-less Attack on Logic Locking2023 IEEE International Symposium on Circuits and Systems proceedings conference-paper Computer Science Physical Unclonable Functions (PUFs) and Hardware Security
Anand Raj, Nikhitha Avula, Pabitra Das, Dominik Šišejković, Farhad Merchant, Amit Acharyya
9citations -
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering2021 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Multimodal Machine Learning Applications
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
22citations -
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Data Classification Open access
Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos
0citations -
A general tree-based machine learning accelerator with memristive analog CAM2022 IEEE International Symposium on Circuits and Systems proceedings conference-paper Engineering Advanced Memory and Neural Computing
Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
4citations -
Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines2021 IEEE Conference on Prognostics and Health Management conference-paper Engineering Machine Fault Diagnosis Techniques Open access
Marios Kefalas, Mitra Baratchi, Asteris Apostolidis, Dirk van den Herik, Thomas Bäck
18citations