Piotr Przymus

Publications

• A Bi-objective optimization framework for query plans
• Time series queries processing with GPU support
• Compression Planner for Time Series Database with GPU Support
• Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases
• Mapping AOQL to SQL
• Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach 1 Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, and Yuko Tsumoto AF or DF, and How to Configure an Optimal Mixed AF-DF Relay System? 17
• Extraction and detection of freshwater mussels behaviours, using wavelets and kernel methods
• Optymalizacji zapytań w środowisku heterogenicznym CPU/GPU dla baz danych szeregów czasowych
• Recurrence plot analysis of time series derived from observations of Dreissena polymorpha
• Large Multivariate Time Series Forecasting: Survey on Methods and Scalability
• Narzędzia matematyczne zastosowane w systemie biomonitoringu wody
• GFSM: a Feature Selection Method for Improving Time Series Forecasting
• Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
• Dynamic compression strategy for time series database using GPU
• Finding relevant multivariate models for multi-plant photovoltaic energy forecasting
• Improving efficiency of data intensive applications on GPU using lightweight compression
• Application of wavelets and kernel methods to detection and extraction of behaviours of freshwater mussels
• Tracking Buggy Files: New Efficient Adaptive Bug Localization Algorithm
• A bi-objective optimization framework for heterogeneous CPU/GPU query plans
• Fixed length lightweight compression for GPU revised
• Improving High-Performance GPU Graph Traversal with Compression
• Improving multivariate time series forecasting with random walks with restarts on causality graphs
• Profile based recommendation of code reviewers
• Zebra mussels' behaviour detection, extraction and classification using wavelets and kernel methods
• Recursive query facilities in relational databases: A survey
• Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
• The Secret Life of CVEs - code and dataset
• How I Learned to Stop Worrying and Love ChatGPT
• Out of Sight, Still at Risk: The Lifecycle of Transitive Vulnerabilities in Maven - replication package
• Out of Sight, Still at Risk: The Lifecycle of Transitive Vulnerabilities in Maven - replication package
• HaPy-Bug – Human Annotated Python Bug Resolution Dataset
• HaPy-Bug – Human Annotated Python Bug Resolution Dataset
• HaPy-Bug - Bug localization learning to rank algorithm results
• HaPy-Bug - Bug localization learning to rank algorithm results
• PatchScope – A Modular Tool for Annotating and Analyzing Contributions
• PatchScope – A Modular Tool for Annotating and Analyzing Contributions