• 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 27 matches

• 2024
• 
  Vasyl Teslyuk, Ivan Tsmots, Roman Tkachenko, Pavlo Tkachenko, Vasyl Rabyk, Yurii Opotyak, Oleksandr Oliinyk:
  Implementation of Neuro-like Network Defuzzifier for Mobile Platform Motion Control System. COLINS (1) 2024: 215-231
• 2022
• 
  Pavlo Tkachenko, Novel Certad, Gunda Singer, Cristina Olaverri-Monreal, Luigi del Re:
  The JKU DORA Traffic Dataset. IEEE Access 10: 92673-92680 (2022)
• 
  Enrico Del Re, Pavlo Tkachenko:
  A Grid-based Surrogate Safety Measure for Traffic Safety Assessment. ICCVE 2022: 1-6
• 
  Pavlo Tkachenko, Novel Certad Hernandez, Gunda Singer, Cristina Olaverri-Monreal, Luigi del Re:
  JKU DORA. IEEE DataPort, 2022 
• 2021
• 
  Ivan Izonin, Roman Tkachenko, Michal Gregus, Khrystyna Zub, Pavlo Tkachenko:
  A GRNN-based Approach towards Prediction from Small Datasets in Medical Application. ANT/EDI40 2021: 242-249
• 
  Amin Assadi, Pavlo Tkachenko, Luigi del Re:
  Interaction Models for Merging and Cut-in Scenarios. ECC 2021: 2346-2351
• 
  Roman Tkachenko, Ivan Izonin, Pavlo Tkachenko:
  Neuro-Fuzzy Diagnostics Systems Based on SGTM Neural-Like Structure and T-Controller. ISDMCI 2021: 685-695
• 2020
• 
  J. Holzinger, Pavlo Tkachenko, Gunda Obereigner, Luigi del Re:
  Context Aware Control of ADAS. ACC 2020: 2288-2293
• 2019
• 
  Ivan Izonin, Natalia Kryvinska, Roman Tkachenko, Khrystyna Zub, Pavlo Vitynskyi:
  An Extended-Input GRNN and its Application. EUSPN/ICTH 2019: 578-583
• 
  Ivan Izonin, Natalia Kryvinska, Pavlo Vitynskyi, Roman Tkachenko, Khrystyna Zub:
  GRNN Approach Towards Missing Data Recovery Between IoT Systems. INCoS 2019: 445-453
• 
  Roman Tkachenko, Ivan Izonin, Michal Gregus, Pavlo Tkachenko, Ivanna Dronyuk:
  Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance. Innovate-Data 2019: 121-132
• 
  Pavlo Tkachenko, Jinwei Zhou, Luigi del Re:
  Unsupervised Clustering of Highway Motion Patterns. ITSC 2019: 2337-2342
• 
  Jinwei Zhou, Pavlo Tkachenko, Luigi del Re:
  Gap Acceptance Based Safety Assessment Of Autonomous Overtaking Function. IV 2019: 2113-2118
• 
  Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Gregus:
  Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure. IWANN (1) 2019: 467-479
• 
  Roman Tkachenko, Pavlo Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Natalia Kryvinska, Yurii Tsymbal:
  Committee of the Combined RBF-SGTM Neural-Like Structures for Prediction Tasks. MobiWIS 2019: 267-277
• 2018
• 
  Roman Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Nataliia Lotoshynska, Olena Pavlyuk:
  Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs. Data 3(4): 46 (2018)
• 
  Davide Gagliardi, Pavlo Tkachenko, Luigi del Re:
  Outcome Oriented Evaluation of Autonomous Driving Functions. CDC 2018: 6970-6975
• 
  Pavlo Vitynskyi, Roman Tkachenko, Ivan Izonin, Hakan Kutucu:
  Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension. DSMP 2018: 386-391
• 2017
• 
  Christian Gerhards, Sergiy Pereverzyev Jr., Pavlo Tkachenko:
  A parameter choice strategy for the inversion of multiple observations. Adv. Comput. Math. 43(1): 101-112 (2017)
• 
  Sergei V. Pereverzyev, Pavlo Tkachenko:
  Regularization by the Linear Functional Strategy with Multiple Kernels. Frontiers Appl. Math. Stat. 3: 1 (2017)
• 2016
• 
  Hui Cao, Sergei V. Pereverzyev, Ian H. Sloan, Pavlo Tkachenko:
  Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions. Appl. Math. Comput. 273: 993-1005 (2016)
• 
  Pavlo Tkachenko:
  Regularization by Aggregation of Global and Local Data on the Sphere. Comput. Methods Appl. Math. 16(2): 299-307 (2016)
• 
  Pavlo Tkachenko, Galyna Kriukova, Marharyta Aleksandrova, Oleg Chertov, Eric Renard, Sergei V. Pereverzyev:
  Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application. Comput. Methods Programs Biomed. 134: 179-186 (2016)
• 
  Galyna Kriukova, Sergei V. Pereverzyev, Pavlo Tkachenko:
  On the convergence rate and some applications of regularized ranking algorithms. J. Complex. 33: 14-29 (2016)
• 
  Galyna Kriukova, Oleksandra Panasiuk, Sergei V. Pereverzyev, Pavlo Tkachenko:
  A linear functional strategy for regularized ranking. Neural Networks 73: 26-35 (2016)
• 2015
• 
  Sergei V. Pereverzyev, Pavlo Tkachenko:
  Pointwise Computation in an Ill-Posed Spherical Pseudo-Differential Equation. Comput. Methods Appl. Math. 15(2): 213-219 (2015)
• 
  Sergei V. Pereverzyev, Ian H. Sloan, Pavlo Tkachenko:
  Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere. SIAM J. Numer. Anal. 53(2): 820-835 (2015)