887 citations
- Polish Academy of SciencesPL60 papers
- Warsaw University of TechnologyPL22 papers
- University of WrocławPL17 papers
- Jagiellonian UniversityPL13 papers
- AGH University of KrakowPL11 papers
- Dalhousie UniversityCA10 papers
- University of WarsawPL9 papers
- University of Silesia in KatowicePL7 papers
- Uniwersytet Komisji Edukacji Narodowej w KrakowiePL7 papers
- Linköping UniversitySE5 papers
- Silesian University of TechnologyPL5 papers
- Charité - Universitätsmedizin BerlinDE3 papers
9 papers · 1 filter
TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
Kamil Szczepanik, Jarosław A. Chudziak
TRIZ, the Theory of Inventive Problem Solving, is a structured, knowledge-based framework for innovation and abstracting problems to find inventive solutions. However, its applicat…
Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments
Clea Rebillard, Julio Hurtado, Andrii Krutsylo +2
Learning continually from a stream of non-i.i.d. data is an open challenge in deep learning, even more so when working in resource-constrained environments such as embedded devices…
A Review of Emerging Research Directions in Abstract Visual Reasoning
Mikołaj Małkiński, Jacek Mańdziuk
Abstract Visual Reasoning (AVR) problems are commonly used to approximate human intelligence. They test the ability of applying previously gained knowledge, experience and skills i…
Towards Continuous Consistency Axiom
Mieczyslaw A. Klopotek, Robert A. Klopotek
Development of new algorithms in the area of machine learning, especially clustering, comparative studies of such algorithms as well as testing according to software engineering pr…
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski +2
Detecting relevant changes in dynamic time series data in a timely manner is crucially important for many data analysis tasks in real-world settings. Change point detection methods…
Predicting Crime Using Spatial Features
Fateha Khanam Bappee, Amilcar Soares Junior, Stan Matwin
Our study aims to build a machine learning model for crime prediction using geospatial features for different categories of crime. The reverse geocoding technique is applied to ret…