Stefan Rüping

Incremental Support Vector Learning: Analysis, Implementation and Applications

YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection

The Units Ontology: a tool for integrating units of measurement in science

The ChEMBL database in 2017

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data

Incremental Support Vector Learning for Ordinal Regression

Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters

Time Series Prediction Using Support Vector Machines: A Survey

Anomaly Detection Based on Sensor Data in Petroleum Industry Applications

Financial time series forecasting model based on CEEMDAN and LSTM

A systematic perspective on the applications of big data analytics in healthcare management

Supply chain management 4.0: a literature review and research framework

Time series forecasting of petroleum production using deep LSTM recurrent networks

Application of machine learning techniques for supply chain demand forecasting

Modeling the blockchain enabled traceability in agriculture supply chain

Data mining with big data

ecancermedicalscience

Big Data in Medizin und Gesundheitswesen

A review of machine learning for the optimization of production processes

GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials

Support Vector Machines and Learning about Time

Support vector machines and learning about time

Incremental Learning with Support Vector Machines

SVM Kernels for Time Series Analysis