• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 66 matches

• 2023
• 
  Andrzej Janusz, Andzelika Zalewska, Lukasz Wawrowski, Piotr Biczyk, Jan Ludziejewski, Marek Sikora, Dominik Slezak:
  BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. Appl. Soft Comput. 141: 110285 (2023)
• 
  Izabella Slezak-Prochazka, Kornelia M. Batko, Andrzej Slezak:
  Evaluation of Transport Properties and Energy Conversion of Bacterial Cellulose Membrane Using Peusner Network Thermodynamics. Entropy 25(1): 3 (2023)
• 
  Andrzej Janusz, Dominik Slezak, Sebastian Stawicki, Krzysztof Stencel:
  A practical study of methods for deriving insightful attribute importance rankings using decision bireducts. Inf. Sci. 645: 119354 (2023)
• 
  Mateusz Wnuk, Jan Dziuba, Andrzej Janusz, Dominik Slezak:
  IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. IEEE Big Data 2023: 6084-6091
• 
  Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
  Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. ECAI 2023: 1207-1214
• 
  Andrzej Janusz, Dominik Slezak:
  Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report. ICME Workshops 2023: 1-5
• 
  Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
  On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning. IJCRS 2023: 479-494
• 
  Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
  Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. CoRR abs/2307.14380 (2023)
• 
  Andzelika Zalewska-Küpçü, Andrzej Janusz, Dominik Slezak:
  Diagnostic Explainability by BrightBox. ERCIM News 2023(134) (2023)
• 2022
• 
  Kornelia M. Batko, Izabella Slezak-Prochazka, Andrzej Slezak, Wioletta M. Bajdur, Radomír Scurek:
  Modelling of the Electrical Membrane Potential for Concentration Polarization Conditions. Entropy 24(1): 138 (2022)
• 
  Andrzej Janusz, Daniel Kaluza, Maciej Matraszek, Lukasz Grad, Maciej Swiechowski, Dominik Slezak:
  Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players. Inf. Sci. 617: 193-210 (2022)
• 
  Kornelia M. Batko, Andrzej Slezak:
  The use of Big Data Analytics in healthcare. J. Big Data 9(1): 3 (2022)
• 
  Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
  EVEAL - Expected Variance Estimation for Active Learning. IEEE Big Data 2022: 6222-6231
• 
  Marcin S. Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak:
  IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. IEEE Big Data 2022: 6471-6480
• 
  Andrzej Janusz, Dominik Slezak:
  KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions. FedCSIS 2022: 393-398
• 
  Andrzej Skowron, Dominik Slezak:
  Rough Sets Turn 40: From Information Systems to Intelligent Systems. FedCSIS 2022: 23-34
• 2021
• 
  Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak:
  Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. 25: 100203 (2021)
• 
  Maciej Matraszek, Andrzej Janusz, Maciej Swiechowski, Dominik Slezak:
  Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. IEEE BigData 2021: 5664-5671
• 
  Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak:
  Schema matching using Gaussian mixture models with Wasserstein distance. CoRR abs/2111.14244 (2021)
• 2020
• 
  Kornelia M. Batko, Andrzej Slezak:
  Evaluation of the Global S-Entropy Production in Membrane Transport of Aqueous Solutions of Hydrochloric Acid and Ammonia. Entropy 22(9): 1021 (2020)
• 
  Kornelia M. Batko, Andrzej Slezak, Wioletta M. Bajdur:
  The Role of Gravity in the Evolution of the Concentration Field in the Electrochemical Membrane Cell. Entropy 22(6): 680 (2020)
• 
  Kornelia M. Batko, Andrzej Slezak, Slawomir Grzegorczyn, Wioletta M. Bajdur:
  The Rr Form of the Kedem-Katchalsky-Peusner Model Equations for Description of the Membrane Transport in Concentration Polarization Conditions. Entropy 22(8): 857 (2020)
• 
  Andrzej Slezak, Wioletta M. Bajdur, Kornelia M. Batko, Radomír Scurek:
  Simulation of S-Entropy Production during the Transport of Non-Electrolyte Solutions in the Double-Membrane System. Entropy 22(4): 463 (2020)
• 
  Andrzej Janusz, Guohua Hao, Daniel Kaluza, Tony Li, Robert Wojciechowski, Dominik Slezak:
  Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results. IEEE BigData 2020: 5519-5526
• 
  Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak:
  Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. FedCSIS 2020: 77-80
• 
  Joanna Henzel, Andrzej Janusz, Marek Sikora, Dominik Slezak:
  On Positive-Correlation-Promoting Reducts. IJCRS 2020: 213-221
• 2019
• 
  Andrzej Janusz, Daniel Kaluza, Agnieszka Chadzynska-Krasowska, Bartek Konarski, Joel Holland, Dominik Slezak:
  IEEE BigData 2019 Cup: Suspicious Network Event Recognition. IEEE BigData 2019: 5881-5887
• 2018
• 
  Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz Wróbel:
  A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. Inf. Sci. 451-452: 112-133 (2018)
• 
  Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak:
  Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. IEEE BigData 2018: 2657-2662
• 
  Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski, Lukasz Grad, Jacek Puczniewski, Dominik Slezak:
  Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition. FedCSIS 2018: 189-192

skipping 36 more matches