Scene analysis with ultrasonic sensors. - Herbert F. Schweinzer; Peter Krammer (ETFA, 2005)

Mining environmental data in hydrological scenarios. - Ladislav Hluchý; Martin Seleng; Ondrej Habala; Peter Krammer (FSKD, 2010)

Advanced Data Integration and Data Mining for Enviromental Scenarios. - Ladislav Hluchý; Peter Krammer; Ondrej Habala; Martin Seleng; Viet D. Tran (SYNASC, 2010)

Using ADMIRE framework and language for data mining and integration in environmental application scenarios. - Ladislav Hluchý; Ondrej Habala; Viet D. Tran; Peter Krammer; Branislav Simo (FSKD, 2011)

ADMIRE platform for distributed data integration and mining. - Viet D. Tran; Ladislav Hluchý; Ondrej Habala; Branislav Simo; Peter Krammer (FSKD, 2011)

Experiments in applying advanced data mining and integration to hydro-meteorological scenarios. - Ladislav Hluchý; Ondrej Habala; Peter Krammer; Martin Seleng; Viet D. Tran (ICSDM, 2011)

Optimized computing of parameters for functional regression in data mining. - Peter Krammer; Ladislav Hluchý (FSKD, 2012)

Using Advanced Data Mining and Integration in Environmental Prediction Scenarios. - Ondrej Habala; Ladislav Hluchý; Viet D. Tran; Peter Krammer; Martin Seleng (Comput. Sci., 2012)

MSM2013 IE Challenge: Annotowatch. - Stefan Dlugolinský; Peter Krammer; Marek Ciglan; Michal Laclavik (#MSM, 2013)

Machine learning in radioactive nuclides identification. - Peter Krammer; Ladislav Hluchý; Juraj Bartok (SISY, 2013)

Data mining in hydrological domain. - Peter Krammer; Ondrej Habala; Ladislav Hluchý; Katarína Tóthová (FSKD, 2014)

Combining Named Entity Recognition Methods for Concept Extraction in Microposts. - Stefan Dlugolinský; Peter Krammer; Marek Ciglan; Michal Laclavik; Ladislav Hluchý (#MSM, 2014)

Integrated System for Hydraulic Simulations. - Giang Nguyen 001; Viera Sipková; Peter Krammer; Ladislav Hluchý; Miroslav Dobrucký; Viet D. Tran; Ondrej Habala (Comput. Informatics, 2015)

Improved regression method with interval estimation. - Peter Krammer; Marcel Kvassay; Ladislav Hluchý (ICNC-FSKD, 2017)

New Method for Constructing a Visibility Graph-Network in 3D Space and a New Hybrid System of Modeling. - Matej Babic; Ladislav Hluchý; Peter Krammer; Branko Matovic; Ravi Kumar; Pavel Kovac (Comput. Informatics, 2017)

Causal Analysis of an Agent-Based Model of Human Behaviour. - Marcel Kvassay; Peter Krammer; Ladislav Hluchý; Bernhard Schneider (Complex., 2017)

Clustering analysis of online discussion participants. - Peter Krammer; Marcel Kvassay; Ján Mojzis; Ivana Budinska; Ladislav Hluchý; Marek Jurkovic (FNC/MobiSPC, 2018)

Enhanced Data Modelling Approach with Interval Estimation. - Peter Krammer; Marcel Kvassay; Ladislav Hluchý (SISY, 2018)

Predicting the Probability of Exceeding Critical System Thresholds. - Peter Krammer; Marcel Kvassay; Ladislav Hluchý (UkrPROG, 2018)

Spatiotemporal Modelling of Transport Demand. - Peter Krammer; Marcel Kvassay; Ladislav Hluchý (FNC/MobiSPC, 2020)

Regression Analysis and Modeling of Local Environmental Pollution Levels for the Electric Power Industry Needs. - Peter Krammer; Marcel Kvassay; Radoslav Forgác; Milos Ockay; Lenka Skovajsová; Ladislav Hluchý; Lubos Skurcák; Lubos Pavlov (Comput. Informatics, 2022)

Using Satellite Imagery to Improve Local Pollution Models for High-Voltage Transmission Lines and Insulators. - Peter Krammer; Marcel Kvassay; Ján Mojzis; Martin Kenyeres; Milos Ockay; Ladislav Hluchý; Lubos Pavlov; Lubos Skurcák (Future Internet, 2022)

Towards Reliable Baselines for Document-Level Sentiment Analysis in the Czech and Slovak Languages. - Ján Mojzis; Peter Krammer; Marcel Kvassay; Lenka Skovajsová; Ladislav Hluchý (Future Internet, 2022)

Refinement of an Environmental Pollution Model for the Needs of the Electric Power Industry by Addition of Precipitation Attributes. - Peter Krammer; Marcel Kvassay; Ondrej Habala; Ján Mojzis; Ladislav Hluchý; Lubos Pavlov; Lubos Skurcák (SACI, 2023)

Federated Learning Methods for Analytics of Big and Sensitive Distributed Data and Survey. - Michal Stano; Ladislav Hluchý; Martin Bobák 001; Peter Krammer; Viet D. Tran (SACI, 2023)

Classification of Tree Species by Federated Learning. - Michal Stano; Stefan Dlugolinský; Ladislav Hluchý; Marcel Kvassay; Peter Krammer; Viet D. Tran (SISY, 2023)

Fine-Tuning the High-Voltage Tower Pollution Model Using Distribution Identification. - Peter Krammer; Ondrej Habala; Michal Stano; Ladislav Hluchý (SISY, 2024)