Conference Paper RDF
pages:- Surprise Benchmarking: The Why, What, and How
- Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
- The AI Accomplice: Exploring Generative Artificial Intelligence in Facilitating and Amplifying Deceptive Designs
- The Common Workflow Scheduler Interface: Status Quo and Future Plans
- The Good, the Bad, and the Uncanny: Investigating Diversity Aspects of LLM-Generated Personas for Requirements Engineering
- The Illusion of Privacy: Investigating User Misperceptions in Browser Tracking Protection
- The Impact of Asymmetric AI Assistance on Decision-Making in Social Dilemmas: A Study on Human Augmentation in Economic Games
- The Impostor is Among Us: Can Large Language Models Capture the Complexity of Human Personas?
- Time-Order Map for Seamless Zooming between Process Models and Process Instances
- TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain DARLI-AP
- Topic Matters: How Linguistic Properties can Shape Reading Behaviour in Selective Exposure Studies
- Topology-Aware Task and Data Placement for Distributed Scientific Workflows
- Towards A GPU-Accelerated Stream Processing Engine Through Query Compilation
- Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
- Towards Advanced Monitoring for Scientific Workflows
- Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
- Towards Generating Contracts for Scientific Data Analysis Workflows
- Towards Memory Disaggregation via NVLink C2C: Benchmarking CPU-Requested GPU Memory Access
- TPCx-AI under the Microscope: A Benchmarking Debt Analysis
- Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
- Transforming Football Data into Object-Centric Event Logs with Spatial Context Information
- Understanding Process Dynamics in Digitized Processes: Foundational Methods and Theory Development
- Understanding the Influence of Electrical Muscle Stimulation on Motor Learning: Enhancing Motor Learning or Disrupting Natural Progression?
- User-Guided Discovery of Patterns in Sequential Data
- Validity Criteria for Explaining Variation in Process Complexity
- Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software
- Viper: An Efficient Hybrid PMem-DRAM Key-Value Store
- What We Can Learn from Persistent Memory for CXL
- WONDERS: Integrating WOW, PONDER, and SCALE for Enhanced Scheduling Performance
- WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows