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Piotr Lipinski
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2020 – today
- 2024
- [c66]Michal Kowalczykiewicz
, Piotr Lipinski
Introducing vectorized cluster crossover in Grammatical Evolution. GECCO Companion 2024: 507-510 - [c65]Piotr Lipinski
Explaining Session-based Recommendations using Grammatical Evolution. GECCO Companion 2024: 1590-1597 - 2023
- [j9]Jakub Niedzwiedzki
IDTMM: Incremental Direct Triangle Mesh Mapping. IEEE Robotics Autom. Lett. 8(9): 5416-5423 (2023) - [j8]Krzysztof Michalak
Knowledge-based optimization algorithm for the inventory routing problem. Soft Comput. 27(22): 16959-16981 (2023) - [c64]Barbara Morawska, Piotr Lipinski, Krzysztof Lichy:
Ultrawideband Localization Improvement Based on LSTM Neural Networks. CSIT 2023: 1-4 - [c63]Michal Kowalczykiewicz
Grammatical Evolution with Code2vec. EuroGP 2023: 213-224 - [c62]Piotr Lipinski
Explaining Recommender Systems by Evolutionary Interests Mix Modeling. EvoApplications@EvoStar 2023: 687-699 - [c61]Piotr Lipinski
Evolutionary Approach to Recommender Systems Improvement by Directory of Products Optimization. GECCO 2023: 1400-1408 - [c60]Mikolaj Slupinski
Improving SLDS Performance Using Explicit Duration Variables with Infinite Support. ICONIP (9) 2023: 112-123 - [c59]Klaudia Balcer
Extending DenseHMM with Continuous Emission. ICONIP (6) 2023: 239-251 - 2022
- [j7]Barbara Morawska
Transfer learning-based UWB indoor localization using MHT-MDC and clusterization-based sparse fingerprinting. J. Comput. Sci. 61: 101654 (2022) - [c58]Anna Preczynska, Krzysztof Lichy, Piotr Lipinski, Barbara Morawska:
Mobile Hand Gesture Controlled Application using Transfer Learning. CSIT 2022: 52-55 - 2021
- [j6]Ewa Korzeniewska
Prototype of a Textronic Sensor Created with a Physical Vacuum Deposition Process for Staphylococcus aureus Detection. Sensors 21(1): 183 (2021) - [c57]Adam Dabrowski
Dog Breed Library with Picture-Based Search Using Neural Networks. CSIT (1) 2021: 17-20 - [c56]Krzysztof Adamkiewicz, Piotr Koch, Barbara Morawska
Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning. ICCS (6) 2021: 291-302 - [c55]Barbara Morawska
Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements. ICCS (4) 2021: 582-594 - 2020
- [j5]Piotr Lipinski
Decision Tree-Based Classification for Planetary Gearboxes' Condition Monitoring with the Use of Vibration Data in Multidimensional Symptom Space. Sensors 20(21): 5979 (2020) - [j4]Jakub Niedzwiedzki
Real-Time Parallel-Serial LiDAR-Based Localization Algorithm with Centimeter Accuracy for GPS-Denied Environments. Sensors 20(24): 7123 (2020) - [c54]Jakub Krymarys, Krzysztof Lichy, Piotr Lipinski, Barbara Morawska:
Eco-friendly Home Automation System Implemented Using Machine Learning Algorithms. CSIT (1) 2020: 15-18 - [c53]Krzysztof Lichy, Piotr Lipinski, M. Grzelak:
Deep Convolutional Network for Steganalysis of HUGO, WOW, and UNIWARD algorithms. ICARCV 2020: 737-740
2010 – 2019
- 2019
- [c52]Piotr Lipinski
Multidimensional time series feature engineering by hybrid evolutionary approach. GECCO (Companion) 2019: 67-68 - [c51]Piotr Lipinski
Deriving knowledge from local optima networks for evolutionary optimization in inventory routing problem. GECCO (Companion) 2019: 1551-1558 - 2018
- [c50]Piotr Lipinski, Krzysztof Lichy, Jakub Santorek:
Empirical Research of Autonomous Robot Control System. CSIT (1) 2018: 108-111 - [c49]Piotr Lipinski
An Evolutionary Algorithm with Practitioner's-Knowledge-Based Operators for the Inventory Routing Problem. EvoCOP 2018: 146-157 - [c48]Winfried Auzinger, Ivanna Dronyuk, Olga Fedevych, Yurii Klishch, Piotr Lipinski:
Information Technology of Traffic Modeling Using the Ateb-Functions Theory for Improving Service Delivery in eHealth Systems and Networks. IDDM 2018: 267-274 - 2017
- [c47]Piotr Lipinski
Solving the Firefighter Problem with two elements using a multi-modal Estimation of Distribution Algorithm. CEC 2017: 2161-2168 - [c46]Piotr Lipinski
Optimization of representation for extracting knowledge from ultra-high frequency time series. CEC 2017: 2759-2766 - [c45]Maksym Arzubov, Natalya Shakhovska
Analyzing ways of building user profile based on web surf history. CSIT (1) 2017: 377-380 - [c44]Patryk Filipiak, Piotr Lipinski
Dynamic Portfolio Optimization in Ultra-High Frequency Environment. EvoApplications (1) 2017: 34-50 - [c43]Piotr Lipinski
Discovering weekly seasonality for water demand prediction using evolutionary algorithms. GECCO (Companion) 2017: 33-34 - [c42]Piotr Lipinski
Evolutionary approach to optimization of data representation for classification of patterns in financial ultra-high frequency time series. GECCO 2017: 1177-1184 - 2016
- [j3]Anthony Brabazon
Characterising order book evolution using self-organising maps. Evol. Intell. 9(4): 167-179 (2016) - [c41]Adrian Lancucki, Indrajit Saha, Shib Sankar Bhowmick
A new evolutionary microRNA marker selection using next-generation sequencing data. CEC 2016: 2752-2759 - [c40]Krzysztof Michalak
Multiobjective optimization of frequent pattern models in ultra-high frequency time series: Stability versus universality. CEC 2016: 3491-3498 - [c39]Ivanna Dronyuk
Ateb-prediction simulation of traffic using OMNeT++ modeling tools. CSIT 2016: 96-98 - [c38]Piotr Lipinski
Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms. GECCO (Companion) 2016: 127-128 - 2015
- [c37]Adrian Lancucki, Indrajit Saha
A new evolutionary gene selection technique. CEC 2015: 1612-1619 - [c36]Mykola Medykovskyy, Piotr Lipinski, Oksana Troyan, Mariya Nazarkevych
Methods of protection document formed from latent element located by fractals. CSIT 2015: 70-72 - [c35]Piotr Lipinski:
Training Financial Decision Support Systems with Thousands of Decision Rules Using Differential Evolution with Embedded Dimensionality Reduction. EvoApplications 2015: 289-301 - [c34]Patryk Filipiak, Piotr Lipinski:
Making IDEA-ARIMA Efficient in Dynamic Constrained Optimization Problems. EvoApplications 2015: 882-893 - [c33]Patryk Filipiak, Krzysztof Michalak
Infeasibility Driven Evolutionary Algorithm with the Anticipation Mechanism for the Reaching Goal in Dynamic Constrained Inverse Kinematics. GECCO (Companion) 2015: 1389-1390 - 2014
- [c32]Piotr Lipinski:
Training Complex Decision Support Systems with Differential Evolution Enhanced by Locally Linear Embedding. EvoApplications 2014: 125-137 - [c31]Piotr Lipinski, Anthony Brabazon
Pattern Mining in Ultra-High Frequency Order Books with Self-Organizing Maps. EvoApplications 2014: 288-298 - [c30]Patryk Filipiak, Piotr Lipinski:
Infeasibility Driven Evolutionary Algorithm with Feed-Forward Prediction Strategy for Dynamic Constrained Optimization Problems. EvoApplications 2014: 817-828 - [c29]Piotr Lipinski:
Optimizing Objective Functions with Non-Linearly Correlated Variables Using Evolution Strategies with Kernel-Based Dimensionality Reduction. HAIS 2014: 342-353 - [c28]Krzysztof Michalak
Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator. IDEAL 2014: 199-206 - [c27]Patryk Filipiak, Piotr Lipinski:
Univariate Marginal Distribution Algorithm with Markov Chain Predictor in Continuous Dynamic Environments. IDEAL 2014: 404-411 - [c26]Adrian Lancucki, Jan Chorowski
Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems. IDEAL 2014: 457-464 - 2013
- [c25]Krzysztof Michalak, Patryk Filipiak, Piotr Lipinski:
Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods. EvoApplications 2013: 234-243 - 2012
- [j2]Piotr Lipinski:
Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading, and Hedging [Book Review]. IEEE Comput. Intell. Mag. 7(2): 75-76 (2012) - [j1]Michal Jamróz, Joanna E. Rode
Chirality Measures of α-Amino Acids. J. Chem. Inf. Model. 52(6): 1462-1479 (2012) - [c24]Krzysztof Michalak
Evolutionary Approach to Multiobjective Optimization of Portfolios That Reflect the Behaviour of Investment Funds. AIMSA 2012: 202-211 - [c23]Patryk Filipiak, Piotr Lipinski:
Parallel CHC Algorithm for Solving Dynamic Traveling Salesman Problem Using Many-Core GPU. AIMSA 2012: 305-314 - [c22]Patryk Filipiak, Krzysztof Michalak
A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems. HAIS (1) 2012: 610-621 - [c21]Jan Stolarek, Piotr Lipinski
Improving Watermark Resistance against Removal Attacks Using Orthogonal Wavelet Adaptation. SOFSEM 2012: 588-599 - [p4]Piotr Lipinski
Information Platform TEWI. Towards Modern Collaborative Knowledge Sharing Systems 2012: 1-10 - [p3]Piotr Lipinski:
Parallel Evolutionary Algorithms for Stock Market Trading Rule Selection on Many-Core Graphics Processors. Natural Computing in Computational Finance (4) 2012: 79-92 - [e1]Piotr Lipinski, Konrad Swirski:
Towards Modern Collaborative Knowledge Sharing Systems. Studies in Computational Intelligence 401, Springer 2012, ISBN 978-3-642-27445-9 [contents] - 2011
- [c20]Piotr Lipinski
Digital Watermarking Enhancement Using Wavelet Filter Parametrization. ICANNGA (1) 2011: 330-339 - [c19]Patryk Filipiak, Krzysztof Michalak
Infeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism. IDEAL 2011: 345-352 - 2010
- [c18]Piotr Lipinski:
Signal Classification with Self-organizing Mixture Networks. AIMSA 2010: 275-276 - [c17]Piotr Lipinski:
A Stock Market Decision Support System with a Hybrid Evolutionary Algorithm for Many-Core Graphics Processors. Euro-Par Workshops 2010: 455-462 - [c16]Piotr Lipinski:
A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors. IDEAL 2010: 344-351 - [c15]Piotr Lipinski:
Evolution Strategies for Objective Functions with Locally Correlated Variables. IDEAL 2010: 352-359
2000 – 2009
- 2009
- [c14]Piotr Lipinski:
Knowledge Patterns in Evolutionary Decision Support Systems for Financial Time Series Analysis. EvoWorkshops 2009: 203-212 - 2008
- [c13]Piotr Lipinski:
Evolutionary Decision Support System for Stock Market Trading. AIMSA 2008: 405-409 - [c12]Piotr Lipinski:
Neuro-evolutionary Decision Support System for Financial Time Series Analysis. HAIS 2008: 180-187 - [p2]Piotr Lipinski:
Evolutionary Strategies for Building Risk-Optimal Portfolios. Natural Computing in Computational Finance 2008: 53-65 - 2007
- [c11]Piotr Lipinski, Katarzyna Winczura, Joanna Wojcik
Building Risk-Optimal Portfolio Using Evolutionary Strategies. EvoWorkshops 2007: 208-217 - [c10]Piotr Lipinski:
ECGA vs. BOA in discovering stock market trading experts. GECCO 2007: 531-538 - [c9]Piotr Lipinski, Mykhaylo Yatsymirskyy:
Efficient 1D and 2D Daubechies Wavelet Transforms with Application to Signal Processing. ICANNGA (2) 2007: 391-398 - [c8]Piotr Lipinski:
Discovering Stock Market Trading Rules Using Multi-layer Perceptrons. IWANN 2007: 1114-1121 - 2006
- [c7]Khaldoon Shami, Damien Magoni
Scalable Distributed k-Resilient Name to Address Binding System for Overlays. ICN/ICONS/MCL 2006: 46 - 2005
- [c6]Piotr Lipinski, Jerzy Korczak
Early Warning in On-line Stock Trading Systems. ISDA 2005: 538-545 - [c5]Anna Bartkowiak, Piotr Lipinski:
Remarks on Evaluation of Correlation Dimension for 5 French Stock Data. SYNASC 2005: 121-128 - [p1]Piotr Lipinski:
Dependency Mining in Large Sets of Stock Market Trading Rules. Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems 2005: 329-336 - 2004
- [c4]Jerzy J. Korczak, Piotr Lipinski:
Evolutionary building of stock trading experts in a real-time system. IEEE Congress on Evolutionary Computation 2004: 940-947 - [c3]Piotr Lipinski, Jerzy J. Korczak
Performance Measures in an Evolutionary Stock Trading Expert System. International Conference on Computational Science 2004: 835-842 - 2003
- [c2]Kenneth M. Brown, Helwig Schmied, Jerzy Korczak, Piotr Lipinski:
The Communigram: Making Communication Visible for Enterprise Management. ICEIS (2) 2003: 34-42 - 2001
- [c1]Jerzy J. Korczak
Evolution Strategy in Portfolio Optimization. Artificial Evolution 2001: 156-167
Coauthor Index
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last updated on 2024-08-23 18:34 CEST by the dblp team
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