Kategorie:Proposal
Die Vorträge müssen den folgenden zeitlichen Rahmen einhalten:
- 12 Minuten Redezeit + 8 Minuten Diskussion
Seiten in der Kategorie „Proposal“
Folgende 58 Seiten sind in dieser Kategorie, von 58 insgesamt.
A
C
D
- Density-Based Outlier Detection Benchmark on Synthetic Data
- Detecting Outlying Time-Series with Global Alignment Kernels
- Developing a Database Application to Compare the Google Books Ngram Corpus to German News Corpora
- Developing a Framework for Mining Temporal Data from Twitter as Basis for Time-Series Correlation Analysis
- Development and evaluation of efficient kNN search of time series subsequences using the example of the Google Ngram data set
- Development of an Active Learning Approach for One Class Classification using Bayesian Uncertainty
E
- Efficient Reduction of Energy Time Series
- Efficient Training of Graph Neural Networks for Dynamic Phenomena (Proposal)
- Entwicklung einer Methode zum Vergleich mehrsprachiger und zeitabhängiger Textkorpora am Beispiel des Google Books Ngram Datensatzes
- Erklärbare k-Portfolios von SAT-Solvern
- Evaluierung unbalancierter Lernmethoden
I
- Implementation and Evaluation of CHQL Operators in Relational Database Systems
- Improving Document Information Extraction with efficient Pre-Training
- Information Content of Targeted Disturbances in the Electrical Grid
- Informationsbedürfnisse zur Untersuchung der Begriffsgeschichte
- Injection Molding Simulation based on Graph Neural Networks
M
P
R
S
- Skalierung der SVDD für große Datenmengen
- Standardized Real-World Change Detection Data
- State of the Art: Multi Actor Behaviour and Dataflow Modelling for Dynamic Privacy
- Statistical Generation of High-Dimensional Data Streams with Complex Dependencies
- Streaming Nyström MMD Change Detection
- Subspace Generative Adversarial Learning for Unsupervised Outlier Detection
- Surrogate Model Based Process Parameters Optimization of Textile Forming
- Surrogate models for crystal plasticity - predicting stress, strain and dislocation density over time