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Publication search results
found 27 matches
- 2019
- Izabella Antoniuk, Przemyslaw Rokita:
Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system. Intelligent Methods and Big Data in Industrial Applications 2019: 261-275 - Katarzyna Baraniak:
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations - XGBoost Approach with Feature Engineering. Intelligent Methods and Big Data in Industrial Applications 2019: 145-154 - Katarzyna Baraniak, Marcin Sydow:
Towards Entity Timeline Analysis in Polish Political News. Intelligent Methods and Big Data in Industrial Applications 2019: 323-332 - Maria G. Buey, Cristian Román, Ángel Luís Garrido, Carlos Bobed, Eduardo Mena:
Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes Using an Ontology. Intelligent Methods and Big Data in Industrial Applications 2019: 333-351 - Nunziato Cassavia, Sergio Flesca, Michele Ianni, Elio Masciari, Giuseppe Papuzzo, Chiara Pulice:
High Performance Computing by the Crowd. Intelligent Methods and Big Data in Industrial Applications 2019: 91-101 - Krystyna Chodorowska, Barbara Rychalska, Katarzyna Pakulska, Piotr Andruszkiewicz:
To Improve, or Not to Improve; How Changes in Corpora Influence the Results of Machine Learning Tasks on the Example of Datasets Used for Paraphrase Identification. Intelligent Methods and Big Data in Industrial Applications 2019: 353-366 - Jerzy Chrzaszcz:
Zero-Overhead Monitoring of Remote Terminal Devices. Intelligent Methods and Big Data in Industrial Applications 2019: 103-113 - Konrad A. Ciecierski, Tomasz Mandat:
Unsupervised Machine Learning in Classification of Neurobiological Data. Intelligent Methods and Big Data in Industrial Applications 2019: 203-212 - Germán Gonzalo Creamer:
Nonlinear Forecasting of Energy Futures. Intelligent Methods and Big Data in Industrial Applications 2019: 3-14 - Alfredo Cuzzocrea, Enzo Mumolo, Gianni Viardo Vercelli:
An HMM-Based Framework for Supporting Accurate Classification of Music Datasets. Intelligent Methods and Big Data in Industrial Applications 2019: 277-289 - Wiktor B. Daszczuk:
Asynchronous Specification of Production Cell Benchmark in Integrated Model of Distributed Systems. Intelligent Methods and Big Data in Industrial Applications 2019: 115-129 - Aleksandra Dorochowicz, Piotr Hoffmann, Agata Majdanczuk, Bozena Kostek:
Classification of Music Genres by Means of Listening Tests and Decision Algorithms. Intelligent Methods and Big Data in Industrial Applications 2019: 291-305 - Julia Kosowska, Grzegorz Mazur:
Implementing the Bus Protocol of a Microprocessor in a Software-Defined Computer. Intelligent Methods and Big Data in Industrial Applications 2019: 131-142 - Marzena Kryszkiewicz, Lukasz Skonieczny:
Fast Discovery of Generalized Sequential Patterns. Intelligent Methods and Big Data in Industrial Applications 2019: 155-170 - Michal Lech, Andrzej Czyzewski:
Handwritten Signature Verification System Employing Wireless Biometric Pen. Intelligent Methods and Big Data in Industrial Applications 2019: 307-319 - Marcin Lewandowski, Lukasz Slonka:
Seismic Attributes Similarity in Facies Classification. Intelligent Methods and Big Data in Industrial Applications 2019: 171-181 - Piotr S. Maciag:
Efficient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach. Intelligent Methods and Big Data in Industrial Applications 2019: 183-199 - Bozena Malysiak-Mrozek, Hanna Mazurkiewicz, Dariusz Mrozek:
Incorporating Fuzzy Logic in Object-Relational Mapping Layer for Flexible Medical Screenings. Intelligent Methods and Big Data in Industrial Applications 2019: 213-233 - Mateusz Modrzejewski, Przemyslaw Rokita:
Implementation of Generic Steering Algorithms for AI Agents in Computer Games. Intelligent Methods and Big Data in Industrial Applications 2019: 15-27 - Mieczyslaw Muraszkiewicz:
The Dilemma of Innovation-Artificial Intelligence Trade-Off. Intelligent Methods and Big Data in Industrial Applications 2019: 29-40 - Cezary Pawlowski, Anna Gelich, Zbigniew W. Ras:
Can We Build Recommender System for Artwork Evaluation? Intelligent Methods and Big Data in Industrial Applications 2019: 41-52 - Grzegorz Protaziuk, Robert Piatkowski, Robert Bembenik:
Modelling OpenStreetMap Data for Determination of the Fastest Route Under Varying Driving Conditions. Intelligent Methods and Big Data in Industrial Applications 2019: 53-71 - Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski:
Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson's Patients. Intelligent Methods and Big Data in Industrial Applications 2019: 235-246 - Piotr Szczuko, Michal Lech, Andrzej Czyzewski:
Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals. Intelligent Methods and Big Data in Industrial Applications 2019: 247-257 - Narges Tabari, Mirsad Hadzikadic:
Context Sensitive Sentiment Analysis of Financial Tweets: A New Dictionary. Intelligent Methods and Big Data in Industrial Applications 2019: 367-374 - Krista Rizman Zalik:
Evolution Algorithm for Community Detection in Social Networks Using Node Centrality. Intelligent Methods and Big Data in Industrial Applications 2019: 73-87 - Robert Bembenik, Lukasz Skonieczny, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski:
Intelligent Methods and Big Data in Industrial Applications. Studies in Big Data 40, Springer 2019, ISBN 978-3-319-77603-3 [contents]
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