61 citations · 63 across the 7 of their papers we have counts for
7 papers
Hierarchical Specialised Ensembles for Classification of Zebrafish Phenotypes Using the Selected Image Recognition Methods
Piotr S. Maciąg, Monika Maciąg, Magdalena Majdan
We propose and evaluate three hierarchical ensemble setups for zebrafish phenotype classification from embryo images. In all setups, stage 1 uses a single four-class classifier to…
Discovering Frequent Closed Embedded Sub-DAGs in Spatio-Temporal Event Data
Piotr S. Maciąg
We propose a novel approach to mine patterns in spatio-temporal event data based on discovering frequent closed embedded sub-Directed Acyclic Graphs (DAGs). In our method, event in…
Combining Retrieval-Augmented Text Generation with LLMs for Reading Content Recommendations
Sooyeon Kim, Piotr S. Maciąg
This work presents the design, implementation, and evaluation of a system for generating personalized reading content using Large Language Models (LLMs) combined with Retrieval-Aug…
Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns
Piotr S. Maciąg, Robert Bembenik, Artur Dubrawski
In this article, we introduce a novel type of spatio-temporal sequential patterns called Constricted Spatio-Temporal Sequential (CSTS) patterns and thoroughly analyze their propert…
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
Piotr S. Maciąg, Marzena Kryszkiewicz, Robert Bembenik +2
Unsupervised anomaly discovery in stream data is a research topic with many practical applications. However, in many cases, it is not easy to collect enough training data with labe…
Discovering Sequential Patterns in Event-Based Spatio-Temporal Data by Means of Microclustering - Extended Report
Piotr S. Maciąg
In the paper, we consider the problem of discovering sequential patterns from event-based spatio-temporal data. The problem is defined as follows: for a set of event types and…
Efficient Discovering of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data
Piotr S. Maciąg
We consider the problem of discovering sequential patterns from event-based spatio-temporal data. The dataset is described by a set of event types and their instances. Based on the…