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ORCIDDEXA Workshops 2021: Virtual Event
- Gabriele Kotsis
, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martinez-Gil, Lukas Fischer, Gerald Czech, Florian Sobieczky, Sohail Khan:
Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings. Communications in Computer and Information Science 1479, Springer 2021, ISBN 978-3-030-87100-0
Cyber-Security and Functional Safety in Cyber-Physical Systems
- Michael Riegler, Johannes Sametinger:
Mode Switching for Secure Web Applications - A Juice Shop Case Scenario. 3-8 - Mah Noor Asmat, Saif Ur Rehman Khan, Atif Mashkoor:
A Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems. 9-17 - Irum Inayat, Muhammad Farooq, Zubaria Inayat, Muhammad Abbas:
Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Study. 18-30 - Imtiyazuddin Shaik, Nitesh Emmadi, Harshal Tupsamudre, Harika Narumanchi, Rajan Mindigal Alasingara Bhattachar:
Privacy Preserving Machine Learning for Malicious URL Detection. 31-41 - Jonathan Certes, Benoît Morgan:
Remote Attestation of Bare-Metal Microprocessor Software: A Formally Verified Security Monitor. 42-51 - Tanja Auge, Nic Scharlau, Andreas Heuer:
Provenance and Privacy in ProSA - A Guided Interview on Privacy-Aware Provenance. 52-62
Machine Learning and Knowledge Graphs
- Stefan Nadschläger, Markus Jäger, Daniel Hofer, Josef Küng:
Placeholder Constraint Evaluation in Simulation Graphs. 65-69 - Bram Steenwinckel, Gilles Vandewiele, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae:
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs. 70-80 - Laura Waltersdorfer, Anna Breit, Fajar J. Ekaputra, Marta Sabou:
Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study. 81-90 - Gauthier Lyan, David Gross-Amblard, Jean-Marc Jézéquel:
On the Quality of Compositional Prediction for Prospective Analytics on Graphs. 91-105 - Pragnya Sridhar, Deepika Karanji, Gambhire Swati Sampatrao, Sravan Danda, Snehanshu Saha:
Semantic Influence Score: Tracing Beautiful Minds Through Knowledge Diffusion and Derivative Works. 106-115
AI System Engineering: Math, Modelling and Software
- Michael Lunglmayr, Günther Lindorfer, Bernhard Moser:
Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis. 119-126 - Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization. 127-137 - Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder. 138-147 - Lisa Ehrlinger, Johannes Schrott, Martin Melichar, Nicolas Kirchmayr, Wolfram Wöß:
Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. 148-158 - Georg Buchgeher, Gerald Czech, Adriano Souza Ribeiro, Werner Kloihofer, Paolo Meloni, Paola Busia, Gianfranco Deriu, Maura Pintor, Battista Biggio, Cristina Chesta, Luca Rinelli, David Solans, Manuel Portela:
Task-Specific Automation in Deep Learning Processes. 159-169
Time Ordered Data
- Daiki Takao, Kento Sugiura, Yoshiharu Ishikawa:
Approximate Fault Tolerance for Edge Stream Processing. 173-183 - Salma Mahmoud, Jorge Martinez-Gil, Patrick Praher, Bernhard Freudenthaler, Alexander Girkinger:
Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends. 184-191 - Alex Romanova:
Time Series Pattern Discovery by Deep Learning and Graph Mining. 192-201
Biological Knowledge Discovery from Big Data
- Malik Yousef, Ahmet Sayici, Burcu Bakir-Gungor:
Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis. 205-214 - Malik Yousef, Amhar Jabeer, Burcu Bakir-Gungor:
SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R. 215-224
Artificial Intelligence for Clean, Affordable and Reliable Energy Supply
- Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas:
Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. 227-238 - Ahmad Mohsenimanesh, Evgueniy Entchev, Alexei Lapouchnian, Hajo Ribberink:
A Comparative Study of Deep Learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet. 239-249
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last updated on 2026-01-18 01:46 CET by the dblp team
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