Computer Science

Recent publications (2011-2020)

• 2020

  1. Andonie, R., Florea, A. Weighted Random Search for CNN Hyperparameter Optimization, International Journal of Computers Communications & Control, 15, 2020, ISSN 1841-9844.
  2. Moldovan, A., Cataron, A., Andonie, R. Learning in Feedforward Neural Networks Accelerated by Transfer Entropy, Entropy, 22, 2020.
  3. Adrian Brasoveanu, Razvan Andonie, Visualizing Transformers for NLP: A Brief Survey, Proceedings of the 24th International Conference Information Visualisation, Melbourne, Victoria, Australia, September 7-11, 2020, IEEE Computer Society, 257-266
  4. Cavalcanti, A., Huang, C., Nguyen, T., & Qin, S. (2020) Spark Facebook for Cloud Brain Computer Interface, International Conference of Advanced Research in Applied Science, Engineering and Technology,  Houston TX, USA, March.
  5. Cavalcanti, A., Murphy, D. G., & Dasgupta, P. (2020) Nanorobot for Cancer Biomarker Instrumentation, 15th IEEE NEMS Int'l Conference on Nano/Micro Engineered & Molecular Systems, September 2020.
  6. Cavalcanti, A., Newhard, N., Harmsen, B., & Ruymen, I. (2020) Cloud Computing for Humanoid Robotics Tele-immersion, Sixteenth International Conference on Technology, Knowledge, and Society, Champaign IL, USA, October.
  7. Davendra D and Martinek P. (2020) An Optimised Hybrid Group Method in Data Handling (GMDH) Network. In: Zelinka I., Brandstetter P., Trong Dao T., Hoang Duy V., Kim S. (eds) AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2018. Lecture Notes in Electrical Engineering, vol 554. Springer, Cham
  8. Davendra D, Chueh C and Hamel E. (2020) A CUDA Approach for Scenario Reduction in Hedging Models. In: Zelinka I., Brandstetter P., Trong Dao T., Hoang Duy V., Kim S. (eds) AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2018. Lecture Notes in Electrical Engineering, vol 554. Springer, Cham
  9. Davendra D, Hermann F and Bialic-Davendra M. (2020) Scheduling Tardiness Constrained Flow Shop with Simultaneously Loaded Stations Using Genetic Algorithm. In Proceedings of the 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI) 2020. Thimphu, Kingdom of Bhutan, 21-22 March, Pp. 93-98.
  10. Davendra D and Bialic-Davendra M. (2020) Discrete Self Organizing Algorithm for Pollution Vehicle Routing Problem. In Proceeding of the Genetic and Evolutionary Computation Conference (GECCO) 2020. Cancun, Mexico, 8-12 July, Pp. 1426-1433
  11. Kovalerchuk, B., Vityaev E., Demin A., Wilinski A., Interpretable Machine Learning for Financial Applications, In:  Handbook of Machine Learning for Data Science, 3rd ed. Springer, 2020 (in print)
  12. Kovalerchuk, B. Explainable Machine Learning and Visual Knowledge Discovery, Handbook of Machine Learning for Data Science, 3rd ed. Springer, 2020 (in print)
  13. Kovalerchuk B. Enhancement of Cross Validation Using Hybrid Visual and Analytical Means with Shannon Function. In: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications 2020 (pp. 517-543). Springer
  14. Kovalerchuk B., Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means, WSDM '20: Proceedings of the 13th International Conference on Web Search and Data Mining, January 2020, pp. 881–883, 10.1145/3336191.3371872.
  15. Kovalerchuk, B, Agarwal B., Kalla, D., Solving Non-image Learning Problems by Mapping to Images, 24th International Conference Information Visualisation IV-2020, Melbourne, Victoria, Australia, 7-11 Sept.2020, IEEE, DOI 10.1109/IV51561.2020.00050.
  16. Wagle, S., Kovalerchuk, B., Interactive Visual Self-Service Data Classification Approach to Democratize Machine Learning, 24th International Conference Information Visualisation IV-2020, Melbourne, Victoria, Australia, 7-11 Sept.2020, IEEE, DOI 10.1109/IV51561.2020.00052.
  17. McDonald, R., Kovalerchuk, B. Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates, 24th International Conference  Information Visualisation IV-2020, Melbourne, Victoria, Australia, 7-11 Sept.2020, IEEE, DOI 10.1109/IV51561.2020.00053.

• 2019

  1. Andonie R. Hyperparameter optimization in learning systems, Journal of Membrane Computing, 1, 2019, 279-291.
  2. Brice M., Andonie R. Automated Morgan Keenan Classification of Observed Stellar Collected by the Sloan Digital Sky Survey using a Single Classifier, The Astronomical Journal, 158, 2019.
  3. Michael Brice, Razvan Andonie, Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14-19, 2019.
  4. Florea AC, Andonie R. Weighted Random Search for Hyperparameter Optimization, International Journal of Computers, Communications & Control, 14, 2019, 154-169, ISSN: 1841-9836.
  5. Braşoveanu, A., Andonie, R. Semantic Fake News Detection: A Machine Learning Perspective, in: Rojas I., Joya G., Catala A. (eds), Advances in Computational Intelligence - IWANN 2019, Lecture Notes in Computer Science 11506, Springer, Cham, 2019, 656-667, ISBN 978-3-030-20517-1.
  6. Zelinka I, Davendra D, Skanderová L, Vantuch T, Kojecky L, Bukácek M (2019) From Darwinian Evolution to Swarm Computation and Gamesourcing. In. From Parallel to Emergent Computing, (Ed) Adamatzky A, Akl S, Sirakoulis G Sh. CRC Press, ISBN: 978-1138054011
  7. N. Neuhaus, B. Kovalerchuk, Interpretable Machine Learning with Boosting by Boolean Algorithm, Joint 2019 8th Intern. Conf. on Informatics, Electronics & Vision (ICIEV) & 3rd Intern. Conf. on Imaging, Vision & Pattern Recognition (IVPR), Spokane, WA, 2019, 307-311.
  8. Kovalerchuk B. Tutorial: Visual Knowledge Discovery and Machine Learning. In: 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR) 2019 May 30 (pp. 1-2). IEEE.
  9. Kovalerchuk B. Interpretable Knowledge Discovery Reinforced by Visual Methods. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 Jul 25 (pp. 3219-3220). ACM.
  10. Ducoffe, G., Leitert, A.: Equivalence between Pathbreadth and Strong Pathbreadth, Discrete Applied Mathematics 262, pp. 185-188, 2019.
  11. Leitert, A., Dragan, F.: Parameterized Approximation Algorithms for some Location Problems in Graphs, Theoretical Computer Science 755, pp. 48-64, 2019.

• 2018

  1. Florea AC, Andonie R. Weighted Random Search for Hyperparameter Optimization, International Journal of Computers, Communications & Control, 14, 2019, 154-169, ISSN: 1841-9836.
  2. Cataron A., Andonie R. Transfer Information Energy: A Quantitative Indicator of Information Transfer between Time Series, Entropy, 20, 2018.
  3. Lorentz I., Andonie R., Sasu L. Parallel Bayesian ARTMAP and Its OpenCL Implementation, Neural Processing Letters, 47, 2018, 491-507.
  4. Florea AC, Andonie R. A Dynamic Early Stopping Criterion for Random Search in SVM Hyperparameter Optimization, in: Lazaros S. Iliadis et al. (eds), Artificial Intelligence Applications and Innovations – AIAI 2018, IFIP Advances in Information and Communication Technology (vol. 519), Springer, 2018, 168-180, ISBN: 978-3-319-92006-1.
  5. Lemley, J., Andonie, R., Odah, A., Heer, P., Widger, J., Erkul, B., Magill, L., Littlefield, K. CWU-Chess: An Adaptive Chess Program that Improves After Each Game, Proceedings of the IEEE Games, Entertainment, Media Conference (GEM), August 15-17, 2018, Galway, Ireland, 86-89.
  6. Magdalena M and Davendra D (2018) Comparison of Vertex Centrality Measures in Complex Network Analysis Based on Adaptive Artificial Bee Colony Algorithm. In. Evolutionary Algorithms, Swarm Dynamics and Complex Networks, (Ed) Zelinka I and Chen G. Springer, Germany, Pp. 161- 176. ISBN: 978-3-662-55661-0.
  7. Dmytro Dovhalets, Boris Kovalerchuk, Szilard Vajda, Razvan Andonie. Deep Learning of 2-D Images Representing n-D Data in General Line Coordinates, Proceedings of the 4th International Symposium on Affective Science and Engineering (ISASE2018), May 31 - June 02, 2018, Eastern Washington University, Spokane, USA, Japan Society of Kansei Engineering (publisher), ISSN: 2433-5428 1-6.
  8. Dmytro Dovhalets and Szilárd Vajda. A costophrenic angle estimator in frontal chest radiographs. In IEEE Conference on Biomedical and Health Informatics. IEEE Computational Intelligence Society, 2018.
  9. Kovalerchuk B., Neuhaus, N. Toward Efficient Automation of Interpretable Machine Learning. In: 2018 IEEE International Conference on Big Data, pp. 4933-4940, 978-1-5386-5035-6/18, Seattle, Dec. 10-13, 2018 IEEE.
  10. Kovalerchuk, B., Grishin, V. Reversible Data Visualization to Support Machine Learning, In: Human Interface and the Management of Information. Interaction, Visualization, and Analytics, Lecture Notes in Computer Science series, Vol. 10904, 2018, pp. 45-59, Springer.
  11. Kovalerchuk B., Gharawi A., Decreasing Occlusion and Increasing Explanation in Interactive Visual Knowledge Discovery, In: Human Interface and the Management of Information. Interaction, Visualization, and Analytics, Lecture Notes in Computer Science series, Vol. 10904, 2018, pp. 505-526. Springer.
  12. Szilárd Vajda, Alexandros Karargyris, Stefan Jäger, K. C. Santosh, Sema Candemir, Zhiyun Xue, Sameer K. Antani, George R. Thoma: Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. J. Medical Systems 42(8): 146:1-146:11 (2018). Impact factor: 2.098

• 2017

  1. Cataron A., Andonie R., Chueh Y. Asymptotically Unbiased Estimation of A Nonsymmetric Dependence Measure Applied to Sensor Data Analytics and Financial Time Series, International Journal of Computers, Communications & Control, 12, 2017, 475-491, ISSN 1841-9836.
  2. Florea AC., Anvik J., Andonie R. Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning, in: Lintas A., Rovetta S., Verschure P., Villa A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017, Lecture Notes in Computer Science 10614, Springer, Cham, 2017, 64-71, ISBN 978-3-319-68611-0.
  3. Cataron A., Andonie R. Transfer Information Energy: A Quantitative Causality Indicator Between Time Series, in: Lintas A., Rovetta S., Verschure P., Villa A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017, Lecture Notes in Computer Science 10614, Springer, Cham, 2017, 512-519, ISBN 978-3-319-68611-0.
  4. Florea, A.C, Anvik, J., Andonie, R. Spark-based Cluster Implementation of a Bug Report Assignment Recommender System, in: Lecture Notes in Artificial Intelligence 10246, L. Rutkowski et al. (eds.), Springer-Verlag, Berlin, 2017, 31-42, ISBN 978-3-319-59059-2.
  5. Andonie, R., Malita, M., Stefan, G.M. MapReduce: From Elementary Circuits to Cloud, in: “Uncertainty Modelling”, Studies in Computational Intelligence 683, Springer International Publishing, V. Kreinovich (ed.), 2017, 1-14, ISBN: 978-3-319-51051-4.
  6. Metlicka M and Davendra D (2017) Adaptive Firefly Algorithm Based on Complex Network Analysis of Population Dynamics. In Proceeding of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Hawaii, USA, 27 Nov - 1 Dec, Pp. 1–8.
  7. Kovalerchuk, B., Relationships Between Probability and Possibility Theories, In: Uncertainty Modeling, Studies in Computational Intelligence 683, Kreinovich, V.(Ed.), Springer, 2017, 97-122, DOI 10.1007/978-3-319-51052-1_7
  8. Resconi G., Kovalerchuk, B., Copula as a Bridge Between Probability Theory and Fuzzy Logic, In: Uncertainty Modeling, Kreinovich, V.(Ed.), Springer, 2017, 251-272.
  9. Vityaev E., Kovalerchuk, B. Ontological Data Mining, In: Uncertainty Modeling, Kreinovich, V.(Ed.), Springer, 2017, 277-292.
  10. Kovalerchuk, B. & Dovhalets, D., 2017. Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data. Informatics, 4(3), p.23.
  11. Wilinski, A., & Kovalerchuk, B. Visual knowledge discovery and machine learning for investment strategy. Cognitive Systems Research, 44, pp.100–114.
  12. Kovalerchuk, B., Kovalerchuk, M., Toward Virtual Data Scientist, In: Proc. of IJCNN 2017, Anchorage, Alaska, May 14-19, 2017, IEEE, pp. 3073-3080.
  13. Smigaj, A. & Kovalerchuk, B., 2017. Visualizing Incongruity and Resolution: Visual Data Mining Strategies for Modeling Sequential Humor Containing Shifts of Interpretation. Lecture Notes in Computer Science, pp.660–674.
  14. Kovalerchuk B., Grishin V. Adjustable General Line Coordinates for Visual Knowledge Discovery in n-D data, Information Visualization, First published date: July-09-2017, doi: 10.1177/1473871617715860.
  15. Kovalerchuk, B., 2017. Visual cognitive algorithms for high-dimensional data and super-intelligence challenges. Cognitive Systems Research, 45, pp.95–108.
  16. Leitert, A., Dragan, F.: Parameterized Approximation Algorithms for some Location Problems in Graphs, COCOA 2017, Lecture Notes in Computer Science 10628, pp. 348-361, 2017.
  17. Leitert, A., Dragan, F.: On the Minimum Eccentricity Shortest Path Problem, Theoretical Computer Science 694, pp. 66-78, 2017.
  18. Leitert, A.: 3-Colouring for Dually Chordal Graphs and Generalisations, Information Processing Letters 128, pp. 21-26, 2017.
  19. Dragan, F., Köhler, E., Leitert, A.: Line-Distortion, Bandwidth and Path-Length of a Graph, Algorithmica 77 (3), pp. 686-713, 2017.
  20. Eugene Borovikov, Szilárd Vajda, Michael Bonifant, and Michael Gill. Looking at faces in the wild. Procedia Computer Science (Special Issue), 123:104 – 109, 2018. 8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017 (Eighth Annual Meeting of the BICA Society), held August 1-6, 2017 in Moscow, Russia.
  21. Eugene Borovikov, Szilárd Vajda, and Michael Gill. Face match for family reunification: Real-world face image retrieval. IJCVIP, 7(2):19–35, 2017. Citation factor: 7.484.
  22. Eugene Borovikov, Szilárd Vajda, Girish Lingappa, and Michael C. Bonifant. Parallel computing in face image retrieval: Practical approach to the real-world image search. In Mohan S. and Vani V., editors, Multi-Core Computer Vision and Image Processing for Intelligent Applications, pages 155–189. IGI Global, 2017.

• 2016

  1. Galmeanu H., Sasu L., Andonie R. Incremental and Decremental SVM for Regression, International Journal of Computers, Communications & Control, 11, 2016, 755-775, ISSN 1841-9836.
  2. Chueh, Y., Cataron, A., Andonie, R. Mortality Rate Modeling of Joint Lives and Survivor Insurance Contracts Tested by A Novel Unilateral Dependence Measure, Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9, 2016, Athens, Greece, 1-8.
  3. Andonie, R., Johansen, A., Mumma, A., Pinkart, H., Vajda, S. Cost Efficient Prediction of Cabernet Sauvignon Wine Quality, Proceedings of the 2016 IEEE Symposium on  Computational Intelligence for Industrial Applications (CIES) 2016, IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9, 2016, Athens, Greece, 1-8.
  4. Lemley, J., Abdul-Wahid, S., Banik, D., Andonie, R. Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images, Proceedings of The 27th Modern Artificial Intelligence and Cognitive Science Conference (MAICS 2016), Dayton, OH, USA, April 22-23, 2016, 97-102, ISSN: 1613-0073.
  5. Lemley, J., Jagodzinski, F., Andonie, R. Big Holes in Big Data: A Monte-Carlo Algorithm for Detecting Large Hyper-rectangles in High Dimensional Data, Proceedings of COMPSAC 2016: The 40th IEEE Computer Society International Conference on Computers, Software & Applications, Atlanta, Georgia, USA, June 10-14, 2016, 563-571.
  6. Davendra D and Ivan Zelinka (Ed) (2016) Self-Organizing Migrating Algorithm: Methodology and Implementation. Springer, Germany. ISBN: 978-3-319-28161-2
  7. Davendra D, Zelinka I, Pluhacek M and Senkerik R (2016) DSOMA—Discrete Self Organising Migrating Algorithm. In: Self-Organizing Migrating Algorithm: Methodology and Implementation, (Eds) Davendra D and Zelinka I. Springer, Germany, Pp. 51-65.
  8. Behalek M, Gajdos P and Davendra D (2016) Utilization of Parallel Computing for Discrete Self-organizing Migration Algorithm. In: Self-Organizing Migrating Algorithm: Methodology and Implementation, (Eds) Davendra D and Zelinka I. Springer, Germany, Pp. 121-146.
  9. Pluhacek M, Zelinka I, Senkerik R and Davendra D (2016) Inspired in SOMA: Perturbation Vector Embedded into the Chaotic PSO Algorithm Driven by Lozi Chaotic Map. In: Self-Organizing Migrating Algorithm: Methodology and Implementation, (Eds) Davendra D and Zelinka I. Springer, Germany, Pp. 277-289.
  10. Davendra D, Onwubolu G and Zelinka I (2016) Group Method of Data Handing Using Discrete Differential Evolution in Matlab. In: GMDH-Methodology and Implementation in MATLAB, (Ed) Onwubolu, G. Imperial Collage Press. Pp. 229-260. ISBN: 978-1-78326-612-8
  11. Senkerik R, Pluhacek M, Zelinka I, Davendra D and Janostik, J. (2016) Preliminary study on the randomization and sequencing for the chaos embedded heuristic. Advances in Intelligent Systems and Computing, 427, Pp. 591-601.
  12. Pluhacek M, Janostik J, Senkerik R, Zelinka I, Davendra D. (2016) PSO as complex network-capturing the inner dynamics-initial study. Advances in Intelligent Systems and Computing, 427, Pp. 551-559.
  13. Metlicka M and Davendra D (2016) Complex Network Analysis based Adaptive Differential Evolution. In Proceeding of the 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24-29 July, Pp. 3338–3345.
  14. Metlicka M and Davendra D (2016) Complex Network based Adaptive Artificial Bee Colony algorithm. In Proceeding of the 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24-29 July, Pp. 3324-3331.
  15. Senkerik R, Viktorin A, Pluhacek M, Janostik J and Davendra D (2016) On the Influence of Different Randomization and Complex Network Analysis for Differential Evolution. In Proceeding of the 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24-29 July, Pp. 3346-3353.
  16. Pluhacek M, Senkerik R, Viktorin A, Janostik J and Davendra D (2016) Complex Network Analysis in PSO as an Fitness Landscape Classifier. In Proceeding of the 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24-29 July, Pp. 3332-3337.
  17. Kovalerchuk B., Perlovsky L., Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models, In: R. Abielmona et al. (eds.), Recent Advances in Computational Intelligence in Defense and Security, Studies in Computational Intelligence 621, pp. 695-726, Springer, Switzerland, 2016, DOI 10.1007/978-3-319-26450-9_25.
  18. Kovalerchuk B., Kreinovich V., Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks, Granular Computing, 2016, DOI 10.1007/s41066-016-0031-4.
  19. Kovalerchuk B., Grishin V., Visual Data Mining in Closed Contour Coordinates, IS&T International Symposium on Electronic Imaging 2016, San Francisco, CA, Visualization and Data Analysis 2016, VDA-503.1- VDA-503.10.
  20. Kovalerchuk, B., Kreinovich V. Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches, 2016 IEEE International Conference on Fuzzy Systems (FUZZ), 1478-1483, IEEE 2016.
  21. Kovalerchuk B., Super-intelligence Challenges and Lossless Visual Representation of High-Dimensional Data, 2016 International Joint Conference on Neural Networks (IJCNN), 1803-1810, IEEE 2016.
  22. Leitert, A., Dragan, F.: On Strong Tree-Breadth, COCOA 2016, Lecture Notes in Computer Science 10043, pp. 62-76, 2016.
  23. Dragan, F., Leitert, A.: Minimum Eccentricity Shortest Paths in some Structured Graph Classes, Journal of Graph Algorithms and Applications 20 (2), pp. 299-322, 2016.
  24. Dragan, F., Leitert, A.: Minimum Eccentricity Shortest Paths in some Structured Graph Classes, WG 2015, Lecture Notes in Computer Science 9224, pp. 189-202, 2016.
  25. K. C. Santosh, Szilárd Vajda, Sameer K. Antani, and George R. Thoma. Edge map analysis in chest x-rays for automatic pulmonary abnormality screening. International Journal of Computer Assisted Radiology and Surgery, 11(9):1637–1646, 2016. Impact factor: 1.863.
  26. Alexandros Karargyris, Jenifer Siegelman, Dimitris Tzortzis, Stefan Jaeger, Sema Candemir, Zhiyun Xue, K. C. Santosh, Szilárd Vajda, Sameer K. Antani, Les Folio, and George R. Thoma. Combination of texture and shape features to detect pulmonary abnormalities in digital chest x-rays. International Journal Computer Assisted Radiology and Surgery, 11(1):99–106, 2016. Impact factor: 1.863.
  27. Szilárd Vajda and Santosh KC. A fast k-nearest neighbor classifier using unsupervised clustering. In International Conference on Recent Trends in Image Processing & Pattern Recognition Bidar, India, December 16-17, 2016., Communications in Computer and Information Science. Springer, 2016.
  28. Eugene Borovikov and Szilárd Vajda. Facematch: real-world face image retrieval. In International Conference on Recent Trends in Image Processing & Pattern Recognition Bidar, India, December 16-17, 2016., Communications in Computer and Information Science. Springer, 2016.
  29. Razvan Andonie, Anne M. Johansen, Amy L. Mumma, Holly C. Pinkart, and Szilárd Vajda. Cost efficient prediction of cabernet sauvignon wine quality. In IEEE Symposium Series on Computational Intelligence. IEEE Computational Intelligence Society, 2016.

• 2015

  1. Cataron, A., Andonie, R., Chueh, Y. Financial Data Analysis using The Informational Energy Dependency Measure, Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2015), Killarney, Ireland, July 12-17, 2015.
  2. Popovici, R., Andonie, R. Sensor Signal Clustering with Self-Organizing Maps, Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2015), Killarney, Ireland, July 12-17, 2015.
  3. Popovici, R., Andonie, R. Music Genre Classification with Self-Organizing Maps and Edit Distance, Proceedings of the International Joint Conference on Neural Networks, (IJCNN 2015), Killarney, Ireland, July 12-17, 2015.
  4. Smithrud, J., McElroy, P., Andonie R. Massively Parallel kNN using CUDA on Spam-Classification, Proceedings of The 26th Modern Artificial Intelligence and Cognitive Science Conference (MAICS 2015), North Carolina A&T State University, Greensboro, North Carolina, USA, April 25-26, 2015, pp. 175-180, ISSN: 1613-0073.
  5. Lorentz, I., Andonie, R., Fabry-Asztalos, L. Accelerating Molecular Structure Determination based on Inter-atomic Distances using OpenCL, IEEE Transactions on Parallel & Distributed Systems, 26, 2015, pp. 3250-3263.
  6. Popovici, R., Andonie, R., Szeliga, W.M., Melbourne, T.I., Scrivner, Real-time Monitoring of Tectonic Displacements in the Pacific Northwest through an Array of GPS Receivers, International Journal of Computers, Communications & Control, 10, 2015, pp. 78-88.
  7. Metlicka M and Davendra D (2015) Chaos driven discrete artificial bee algorithm for location and assignment optimisation problems. Swarm and Evolutionary Computation. Vol 25, pp. 15-28 DOI:10.1016/j.swevo.2015.03.002. 

  8. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2015) MC-PSO/DE hybrid with repulsive strategy - Initial study. 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, Bilbao, Spain 22 - 24 June, Lecture Notes in Artificial Intelligence, Springer, Vol 9121, pp. 213-220.
  9. Senkerik R, Pluhacek M, Davendra D, Zelinka I and Janostik J (2015) New adaptive approach for multi-chaotic differential evolution concept. 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, Bilbao, Spain 22-24 June, Lecture Notes in Artificial Intelligence, Sringer, Vol 9121, pp. 234-243.
  10. Senkerik R, Pluhacek M, Davendra D, Zelinka I and Oplatkova Z (2015) Simulation of time-continuous chaotic UEDA oscillator as the generator of random numbers for heuristic. Proceeding of the 29th European Conference on Modelling and Simulation, pp. 543-548, May 26 - 29, Varna, Bulgaria. ISBN: 978-0-9932440-0-1
  11. Matejcik L and Davendra D (2015) Ensemble Population based Discrete Harmony Search Algorithm for the Job Shop Scheduling Problem. Proceeding of the 29th European Conference on Modelling and Simulation, pp. 412-417, May 26 - 29, Varna, Bulgaria. ISBN: 978-0-9932440-0-1
  12. Pluhacek M, Senkerik R and Davendra D (2015) Multiple Choice Strategy with Dimensional Mutation for PSO Algorithm Enhanced with Chaotic Dissipative Standard Map. In Proceeding of the 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 25-28 July, pp. 1404-1409.
  13. Senkerik R, Pluhacek M and Davendra D (2015) On the Parameter Settings for the Chaotic Dynamics Embedded Differential Evolution. In Proceeding of the 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 25-28 July, pp. 1410-1417.
  14. Metlicka M and Davendra D (2015) Ensemble centralities based adaptive artificial bee algorithm. In Proceeding of the 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 25-28 July, pp. 3370-3376.
  15. Kovalerchuk, B., Perlovsky L., Rigorous Sensor Resource Management: Methodology and Evolutionary Optimization, In: Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA 2015, 05-26-28, 2015, Verona, NY), IEEE, pp.1-8, DOI: 10.1109/CISDA.2015.7208621
  16. Kovalerchuk, B. Summation of Linguistic Numbers, Proc. of North American Fuzzy Information Processing Society (NAFIPS) and World Congress on Soft Computing, 08-17-19, 2015, Redmond, WA pp.1-6. DOI: 10.1109/NAFIPS-WConSC.2015.7284161.
  17. Kovalerchuk, B., Smigaj A., Computing with words beyond quantitative words: incongruity modeling, Proc. of Proc. of North American Fuzzy Information Processing Society (NAFIPS) and World Congress on Soft Computing, 08-17-19, 2015, Redmond, WA, IEEE, pp. 226-233. DOI: 10.1109/NAFIPS-WConSC.2015.7284193.
  18. Boris Kovalerchuk and Leonid Perlovsky, Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models, In: R. Abielmona et al. (eds.), Recent Advances in Computational Intelligence in Defense and Security, Studies in Computational Intelligence 621, pp. 695-726, Springer, Switzerland, 2016, DOI 10.1007/978-3-319-26450-9_25.
  19. Brandstädt, A., Fičur, P, Leitert, A., Milanič, M.: Polynomial-time Algorithms for Weighted Efficient Domination Problems in AT-free Graphs and Dually Chordal Graphs, Information Processing Letters 115 (2), pp. 256-262, 2015.
  20. Dragan, F., Leitert, A.: On the Minimum Eccentricity Shortest Path Problem, WADS 2015, Lecture Notes in Computer Science 9214, pp. 276-288, 2015.
  21. Szilárd Vajda, Thomas Plötz, and Gernot Fink. Camera-based whiteboard reading for understanding mind maps. International Journal of Pattern Recognition and Artificial Intelligence, 29(3), 2015.
  22. Szilárd Vajda, Yves Rangoni, and Hubert Cecotti. Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognition Letters, 58: pp. 23-28, 2015.
  23. Szilárd Vajda, Daekeun You, Sameer Antani, and George Thoma. Large image modality labeling initiative using semi-supervised and optimized clustering. International Journal of Multimedia Information Retrieval, 4(2): pp.143-151, 2015.
  24. KC Santosh, Szilárd Vajda, Sameer Antani, and George Thoma. Automatic pulmonary abnormality screening using thoracic edge map. In 28th Int. Symposium on Computerbased Medical Systems. pages 360-361, IEEE Computer Society, 2015.
  25. Szilárd Vajda, Sameer Antani, and George Thoma. National Library of Medicine (NLM) at ImageCLEF2015: Medical Clustering Task. In 28th CLEF Working Notes, 2015.

• 2014

  1. Cataron, A., Andonie, R., Chueh, Y. kNN Estimation of The Unilateral Dependency Measure between Random Variables, Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), IEEE Symposium Series on Computational Intelligence (SSCI), December 9-12, 2014, Orlando, Florida, pp. 471-478, ISBN: 978-1-4799-4519-1.
  2. Popovici, R., Andonie, R., Szeliga, W.M., Melbourne, T.I., Scrivner, C.W. Clustering and Visualization of Geodetic Array Data Streams using Self-Organizing Maps, Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vison Processing (CIMSIVP 2014), Symposium Series on Computational Intelligence (SSCI), December 9-12, 2014, Orlando, Florida, pp. 182-189, ISBN: 978-1-4799-4504-7.
  3. Comanelea, V., Ivanovici, M., Andonie, R. Feature Extraction from Satellite Images: A GPU-Based Machine Learning Approach, Proceedings of the 2014 Conference on Big Data from Space (BiDS '14), November 12-14, 2014, European Space Agency (ESA) / European Space Research Institute (ESRIN), Frascati, Italy, pp. 307-310, ISBN: 978-92-79-43252-1.
  4. Andonie R., Fabry-Asztalos L., Sasu, L. Bayesian ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors using A Small Molecular Dataset, Proceedings of the IEEE Symposium on Computational Intelligence and Computational Biology (CIBCB 2014), May 21-24, 2014, Honolulu, Hawaii, pp. 1-8.
  5. Cavalcanti, A. (2014) Patient Care at the Molecular Level, Panel Discussion, Biomedicine, Open Innovations, Moscow, Russia.
  6. Cavalcanti, A. (2014) Nanorobot Hardware Architecture for Medical Defense, Colloquium, Complex System Group, University of Alaska Anchorage, Anchorage AK, USA.
  7. Davendra D, Senkerik R, Zelinka I, Pluhacek M and Bialic-Davendra M (2014) Utilising the chaos-induced discrete self organising migrating algorithm to solve the lot-streaming flowshop scheduling problem with setup time. Soft Computing. Vol 18, Num. 4, pp. 669-681
  8. Senkerik R, Oplatkova Z, Zelinka I, Chramcov B, Davendra D and Pluhacek M (2014) Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems. Soft Computing. Vol 18, Num. 4, pp. 651-668
  9. Senkerik R, Pluhacek M, Davendra D, Zelinka I and Kominkova Z (2014) Chaos driven evolutionary algorithm: A new approach for evolutionary optimization. Soft Computing. Vol 18, Num. 4, pp. 651-668
  10. Senkerik R, Pluhacek M, Zelinka I, Davendra D and Kominkova Z (2014) Chaos Enhanced Differential Evolution in the Task of Evolutionary Control of Selected Set of Discrete Chaotic Systems. The Scientific World Journal. Article ID 836484. 12 pages. DOI:10.1155/2014/836484
  11. Zelinka I, Davendra D, Senkerik R, Pluhacek M (2014) Investigation on evolutionary predictive control of chemical reactor. Journal of Applied Logic. Vol 13, Num 2, pp. 156-166
  12. Davendra D, Zelinka I, Senkerik R and Pluhacek M (2014) Complex Network Analysis of Evolutionary Algorithms Applied to Combinatorial Optimisation Problem. In: Komer P., Abraham A. and Snasel, V. (Eds.), Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014, Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg, pp. 141-150.
  13. Davendra D, Zelinka I, Senkerik R and Pluhacek M (2014) Complex Network Analysis of Discrete Self-organising Migrating Algorithm. In: Zelinka I., Suganthan P., Chen G., Snasel V., Abraham A. and Rossler O. (Eds.) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems, Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg. pp. 161-174.
  14. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2014) Tuning the Lozi Map in Chaos Driven PSO Inspired by the Multi-Chaotic Approach. In: Zelinka I., Suganthan P., Chen G., Snasel V., Abraham A. and Rossler O. (Eds.) Nostradamus 2014: 
Prediction, Modeling and Analysis of Complex Systems, Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg. pp. 79-88.
  15. Senkerik R, Pluhacek M, Zelinka I, Davendra D and Kominkova Z (2014) Multi Chaotic Differential Evolution: Determining the Switching Time. In: Zelinka I., Suganthan P., Chen G., Snasel V., Abraham A. and Rossler O. (Eds.) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems, Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg. pp. 99-110.
  16. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2014) Chaos Driven PSO with Ensemble of Priority Factors. In: Zelinka I., Suganthan P., Chen G., Snasel V., Abraham A. and Rossler O. (Eds.) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems, Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg. pp. 89-98.
  17. Metlicka M and Davendra D. (2014) Scheduling the Flowshop with Zero Intermediate Storage using Chaotic Discrete Artificial Bee Algorithm. In: Zelinka I., Suganthan P., Chen G., Snasel V., Abraham A. and Rossler O. (Eds.) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems, Advances in Intelligent Systems and Computing, Springer Berlin Heidelberg. pp. 141-152.
  18. Davendra D, Senkerik R., Zelinka I. and Pluhacek M. (2014) Scatter Search Algorithm with Chaos based Stochasticity. In Proceeding of the 2014 IEEE World Congress on Computational Intelligence (WCCI), Beijing, China, 6-11 Jul, 2014.
  19. Zelinka I, Lampinen J, Senkerik R, Pluhacek M and Davendra D. (2014) Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures. In Proceeding of the 2014 IEEE World Congress on Computational Intelligence (WCCI), Beijing, China, 6-11 Jul, 2014.
  20. Metlicka M and Davendra D. (2014) Chaos-Driven Discrete Artificial Bee Colony. In Proceeding of the 2014 IEEE World Congress on Computational Intelligence (WCCI), Beijing, China, 6-11 Jul.
  21. Stauffer M, Ryter R, Davendra D, Dornberger R and Hanne T. (2014) A Genetic Algorithm with an embedded Ikeda Map applied to an order picking problem in an multi aisle warehouse. In Proceeding of the 2014 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, USA, 9-12 Dec, pp. 53-58.
  22. Davendra D, Zelinka I, Metlicka M, Senkerik R and Pluhacek M (2014) Complex Network Analysis of Differential Evolution Algorithm applied to Flowshop with No-Wait Problem. In Proceeding of the 2014 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, USA, 9-12 Dec, pp. 65-72.
  23. Pluhacek M, Senkerik R, Davendra D and Zelinka I (2014) Gathering Algorithm: A New Concept of PSO based Metaheuristic with dimensional mutation. In Proceeding of the 2014 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, USA, 9-12 Dec, pp. 42-47.
  24. Metlicka M, Davendra D, Hermann F, Meier M and Amann M. (2014) GPU Accelerated NEH Algorithm. In Proceeding of the 2014 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, USA, 9-12 Dec, pp. 114-119.
  25. Galitsky B., Kovalerchuk B., Improving Web Search Relevance with Learning Structure of Domain Concepts, In: Clusters, Orders, and Trees: Methods and Applications, Aleskerov, F. Goldengorin, B. Pardalos, P.M. (Eds.), Springer, 2014, pp. 311-363.
  26. Kovalerchuk, B., Probabilistic Solution of Zadeh’s test problems, In: A. Laurent et al. (Eds.): IPMU 2014, Part II, CCIS 443, pp. 536–545, 2014, Springer.
  27. Kovalerchuk B., Grishin V., Collaborative lossless visualization of n-D data by collocated paired coordinates, CDVE 2014, Seattle, Sept 2014, Y. Luo (Ed.): CDVE 2014, LNCS 8683, pp. 19–26,Springer Switzerland, 2014.
  28. Grishin V., Kovalerchuk, B., Multidimensional collaborative lossless visualization: experimental study, CDVE 2014, Seattle, Sept 2014. Luo (Ed.): CDVE 2014, LNCS 8683, pp. 27–35, Springer Switzerland, 2014.
  29. Kovalerchuk B., Visualization of multidimensional data with collocated paired coordinates and general line coordinates, In: SPIE Visualization and Data Analysis 2014, Proc. SPIE 9017, 90170I, 15 p.
  30. Grishin V., Kovalerchuk, B., Stars advantages vs, parallel coordinates: shape perception as visualization reserve, In: SPIE Visualization and Data Analysis 2014, Proc. SPIE 9017, 90170Q, 8 p.
  31. Dragan, F., Köhler, E., Leitert, A.: Line-Distortion, Bandwidth and Path-Length of a Graph, SWAT 2014, Lecture Notes in Computer Science 8503, pp. 146-157, 2014.
  32. Jan Richarz, Szilárd Vajda, Rene Grzeszick, and Gernot A. Fink. Semi-supervised learning for character recognition in historical archive documents. Pattern Recognition, 47(3): pp. 1011–1020, 2014.
  33. Szilárd Vajda and Barna Szocs. A neural network based distance function for the k-nearest neighbor classifier. In International Conference on Frontiers in Handwriting Recognition, pp. 429–433, Crete, Greece, 2014. IEEE Computer Society.
  34. Szilárd Vajda, Daekeun You, Sameer Antani, and George Thoma. Label many with a few: Semi-automatic medical image modality discovery in a large image collection. In IEEE Symposium Series on Computational Intelligence, Orlando, FL, USA, 2014

• 2013

  1. Cațaron A., Andonie R., Chueh, Y. Asymptotically Unbiased Estimator of the Informational Energy with kNN, International Journal of Computers, Communications & Control, 8, 2013, pp.689-698, ISSN 1841-9836.
  2. Sasu L., Andonie R. Bayesian ARTMAP for Regression, Neural Networks, 46, 2013, pp.23-31.
  3. Andonie R., Cațaron A., Galmeanu H., Ivanovici M., Sasu L. Algorithms and Data Structures: Applications in Image Processing and Bioinformatics – Lecture Notes (in Romanian), Transylvania University Press, Brasov, Romania, 2013, ISBN 978-606-19-0206-4.
  4. Zelinka I, Chadli M, Davendra D, Senkerik R and Jasek R (2013) An Investigation On Evolutionary Reconstruction Of Continuous Chaotic Systems. Mathematical and Computer Modelling. Vol 57, Num. 1-2, pp. 2-15
  5. Davendra D, Zelinka I, Bialic-Davendra M, Senkerik R and Jasek R (2013) Discrete Self-Organising Migrating Algorithm for Flow Shop Scheduling with No Wait Makespan. Mathematical and Computer Modelling. Vol 65, Num. 1-2, pp. 100-110
  6. Senkerik R, Oplatkova Z, Zelinka I and Davendra D (2013) Synthesis of Feedback Controller for Three Selected Chaotic Systems by Means of Evolutionary Techniques - Analytic Programming. Mathematical and Computer Modelling. Vol 57, Num. 1-2, pp. 57-67
  7. Davendra D and Bialic - Davendra M (2013) Scheduling flow shops with blocking using a discrete self-organising migrating algorithm. International Journal of Production Research. Vol 51, Issue 8, pp. 2200-2218
  8. Pluhacek M, Senkerik R, Davendra D, Kominkova Oplatkova Z and Zelinka I (2013) On the behavior and performance of chaos driven PSO algorithm with inertia weight. Computers and Mathematics with Applications. Vol. 66, Issue 2, pp. 122-134.
  9. Davendra D, Bialic-Davendra M and Senkerik R (2013) Scheduling the Lot-Streaming Flowshop Scheduling Problem with Setup Time with the Chaos-Induced Enhanced Differential Evolution. Proceeding of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 399-404, April 20-26, Singapore. IEEE Catalog Number: CFP13COI-USB, ISBN: 978-1-4673-5847-7.
  10. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2013) Chaos PSO Algorithm Driven Alternately by two Different Chaotic Maps - an Initial Study. Proceedings of the 2013 IEEE Congress on Evolutionary Computation. June 20-23, pp. 2444 - 2449, Cancun, Mexico.
  11. Senkerik R, Pluhacek M, Oplatkova Z, Davendra D and Zelinka I (2013) Investigation on the Differential Evolution Driven by Selected Six Chaotic Systems in the Task of Reactor Geometry Optimization. Proceedings of the 2013 IEEE Congress on Evolutionary Computation. June 20-23, pp. 3087 - 3094, Cancun, Mexico.
  12. Davendra D, Senkerik R, Zelinka I, Pluhacek M and Bialic-Davendra M (2013) Utilising the Chaos-Induced Discrete Self Organising Migrating Algorithm to Schedule the Lot-Streaming Flowshop Scheduling Problem with Setup Time. Nostradamus 2013: Prediction, Modelling and Analysis of Complex Systems, Zelinka I, Chen G, Rossler O, Snasel V and Abraham A (eds). Advancers in Intelligent Systems and Computing (Vol. 210), Springer. pp. 31-46, June 3-4, Ostrava, Czech Republic.
  13. Zelinka I, Chadli M, Davendra D, Senkerik R, Pluhacek M and Lampinen J (2013) Hidden Periodicity - Chaos Dependence on Numerical Precision. Nostradamus 2013: Prediction, Modelling and Analysis of Complex Systems, Zelinka I, Chen G, Rossler O, Snasel V and Abraham A (eds). Advancers in Intelligent Systems and Computing (Vol. 210), Springer. pp. 47-59, June 3-4, Ostrava, Czech Republic.
  14. Zelinka I, Chadli M, Davendra D, Senkerik R, Pluhacek M and Lampinen J (2013) Do Evolutionary Algorithms Indeed Require Random Numbers? Extended Study. Nostradamus 2013: Prediction, Modelling and Analysis of Complex Systems, Zelinka I, Chen G, Rossler O, Snasel V and Abraham A (eds). Advancers in Intelligent Systems and Computing (Vol. 210), Springer. pp. 61-75, June 3-4, Ostrava, Czech Republic.
  15. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2013) New Adaptive Approach for Chaos PSO Algorithm Driven Alternately by Two Different Chaotic Maps - An Initial Study. Nostradamus 2013: Prediction, Modelling and Analysis of Complex Systems, Zelinka I, Chen G, Rossler O, Snasel V and Abraham A (eds). Advancers in Intelligent Systems and Computing (Vol. 210), Springer. pp. 77-87, June 3-4, Ostrava, Czech Republic.
  16. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2013) On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems. Nostradamus 2013: Prediction, Modelling and Analysis of Complex Systems, Zelinka I, Chen G, Rossler O, Snasel V and Abraham A (eds). Advancers in Intelligent Systems and Computing (Vol. 210), Springer. pp. 77-87, June 3-4, Ostrava, Czech Republic.
  17. Davendra D, Bialic-Davendra M, Senkerik R and Pluhacek M (2013) Scheduling the Flow Shop with Blocking Problem with the Chaos-Induced Discrete Self Organising Migrating Algorithm. Proceeding of the 27th European Conference on Modelling and Simulation, pp. 386-392, May 27 - 30, Alesund, Norway. ISBN: 978-0-9564944- 6-7, DOI: 10.7148/2013
  18. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2013) Multiple Chaos strategies for the PSO Algorithm - Performance Analysis on Shifted Test Functions. Proceeding of the 27th European Conference on Modelling and Simulation, pp. 386-392, May 27 - 30, Alesund, Norway. ISBN: 978-0-9564944-6-7, DOI: 10.7148/2013
  19. Senkerik R, Davendra D, Zelinka I, Pluhacek M and Oplatkova Z (2013) On the Differential Evolution Driven by Selected Discrete Chaotic Systems: Extended Study. Proceeding of the 19th Soft computing Conference MENDEL 2013, pp. 137-144. June 26-28, Brno, Czech Republic. ISBN: 978-80-214-4755-4.
  20. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2013) Extensive Study on the Performance of PSO Algorithm Enhanced with Burgers Chaotic Map. Proceeding of the 19th Soft computing Conference MENDEL 2013, pp. 161-166. June 26-28, Brno, Czech Republic. ISBN: 978-80-214-4755-4.
  21. Pluhacek M, Senkerik R, Zelinka I and Davendra D (2013) Designing PID Controllers by Means of PSO Algorithm Enhanced by Various Chaotic Maps. Proceeding of the 8th EUROSIM Congress on Modelling and Simulation 2013, pp. 19-23. September 10-13, Cardiff, Wales. ISBN: 978-0-7695-5073-2.
  22. Senkerik R, Pluhacek M, Davendra D, Zelinka I and Kominkova Z (2013) Chaos Driven Evolutionary Algorithm: a New Approach for Evolutionary Optimization. Recent advances in systems, control and informatics: proceedings of the 2013 International conference on systems, control and informatics (SCI 2013), pp. 117-122. September 28-30, Venice, Italy. ISBN: 978-1-61804-206-4.
  23. Evgenii E. Vityaev, Leonid I. Perlovsky, Boris Kovalerchuk, Stanislav O. Speransky, Probabilistic dynamic logic of cognition, Biologically Inspired Cognitive Architectures (Journal), Vol. 6, 2013, pp. 159–168, Elsevier, October 2013 , invited paper.
  24. Kovalerchuk, B., Quest for rigorous intelligent tutoring systems under uncertainty: Computing with Words and Images, In: Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013. pp. 685 - 690, DOI: 10.1109/IFSA-NAFIPS.2013.6608483.
  25. Boris Kovalerchuk, Quest for Rigorous Combining Probabilistic and Fuzzy Logic Approaches for Computing with Words, In: Rudolf Seising, Enric Trillas, Claudio Moraga, Settimo Termini (eds.): On Fuzziness. A Homage to Lotfi A. Zadeh (Studies in Fuzziness and Soft Computing Vol. 216), Berlin, New York: Springer 2013. Vol. 1. pp. 333-344.
  26. Kovalerchuk, B., Correlation of partial frames in video matching, SPIE Proc. Vol. 8747, Geospatial InfoFusion III, 87470l, 12p, 2013, DOI: 10.1117/12.2016645.
  27. Kovalerchuk B., Streltsov S., Best M., Guidance in feature extraction to resolve uncertainty, SPIE Proc. Vol. 8747, Geospatial InfoFusion III, 874707, 12 p, 2013, DOI: 10.1117/12.2016509.
  28. Brandstädt, A., Leitert, A., Rautenbach, D.: Efficient Dominating and Edge Dominating Sets for Graphs and Hypergraphs, ISAAC 2012, Lecture Notes in Computer Science 7676, pp. 267-277, 2012.
  29. Eugene Borovikov, Szilárd Vajda, Girish Lingappa, Sameer Antani, and George Thoma. Face matching for post-disaster family reunification. In International Conference on Healthcare Informatics. IEEE Computer Society, 2013.
  30. Hubert Cecotti and Szilárd Vajda. Multi-class rejection evaluation in handwritten character recognition. In International Conference on Document Analysis and Recognition, pages 445–449. IAPR, IEEE Computer Society, 2013.
  31. Hubert Cecotti and Szilárd Vajda. A radial neural convolutional layer for multioriented character recognition. In International Conference on Document Analysis and Recognition, pages 668–672. IAPR, IEEE Computer Society, 2013.
  32. Akmal Junaidi, René Grzeszick, Gernot A. Fink, and Szilárd Vajda. Statistical modeling of the relation between characters and diacritics in lampung script. In International Conference on Document Analysis and Recognition, pp. 663–667. IAPR, IEEE Computer Society, 2013.
  33. Yves Rangoni, Eric Ras, and Szilárd Vajda. Using handwriting recognition modality in tangible user interface. In IAPR International Workshop on Graphics Recognition (GREC). 2013.

• 2012

  1. Cațaron A., Andonie R. How To Infer The Informational Energy from Small Datasets, Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment, (OPTIM'2012), Brasov, Romania, May 24-26, 2012, 1065-1070.
  2. Lorentz I., Andonie R., Fabry-Asztalos L. Solving Molecular Distance Geometry Problems in OpenCL, Proceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment, (OPTIM'2012), Brasov, Romania, May 24-26, 2012, pp.1421-1428.
  3. Fabry-Asztalos L., Lorentz I., Andonie R. Molecular Distance Geometry Optimization using Geometric Build-up and Evolutionary Techniques on GPU, Proceedings of the IEEE Symposium on Computational Intelligence and Computational Biology (CIBCB 2012), May 9-12, 2012, San Diego, USA, pp. 321-328.
  4. Dumitrescu M., Andonie R. Clustering Superpeers in P2P Networks by Growing Neural Gas, Proceedings of the Twentieth Euromicro Conference on Parallel, Distributed, and Network-Based Processing (PDP 2012), Feb. 15-17, Garching, Germany, IEEE Computer Society Press, Los Alamitos, 2012, pp. 311-318, ISBN: 978-0-7695-44633-9.
  5. Sasu L., Andonie R. Function Approximation with ARTMAP Architectures, International Journal of Computers, Communications & Control, 7, 2012, pp. 957-967, ISSN 1841-9836.
  6. Lorentz I., Andonie, R., Malita, M. An Implementation of Evolutionary Computation Operators in OpenCL, in: Intelligent Distributed Computing V, Studies in Computational Intelligence 382, F. Brazier, K. Nieuwenhuis, G. Pavlin, M. Warnier, C. Badica (eds.), Springer-Verlag, Berlin, 2012, pp. 103-113, ISBN 978-3-642-24012-6.
  7. Andonie R., Cațaron A., Gaspar Z., Galmeanu H., Ivanovici M., Lorentz I., Sasu L. Algorithms and Data Structures: Applications in Image Processing and Bioinformatics (in Romanian), Transylvania University Press, Brasov, Romania, 2012, ISBN 978-606-19-0058-9.
  8. Davendra D, Zelinka I, Bialic-Davendra M, Senkerik R and Jasek R (2012) Clustered Enhanced Differential Evolution for Blocking Flow Shop Scheduling Problem. Central European Journal of Operations Research. Vol 20, Issue 4, pp. 679-717.
  9. Senkerik R, Davendra D, Zelinka I, Oplatkova, Z and Jasek, R (2012) Performance Comparison of Differential Evolution And SOMA On Chaos Control Optimization Problem. International Journal of Bifurcation and Chaos. Vol. 22, No. 8
  10. Zelinka I, Davendra D, Jasek R and Senkerik R (2012) Investigation on Visualization, Analysis, and Control of Complex Networks Dynamics. International Journal of Energy Optimization and Engineering, Vol. 1, Issue 3, pp. 48-73, DOI: 10.4018/IJEOE, ISSN: 2160-9500.
  11. Senkerik R, Zelinka I, Davendra D and Oplatkova Z (2012) Evolutionary optimization of Hénon map control: A black box approach. International Journal of Operational Research. Vol. 13, No. 2, pp. 129 - 146.
  12. Senkerik R, Oplatkova Z, Zelinka I, and Davendra D (2012) Evolutionary Chaos Controller Synthesis for Stabilizing Chaotic Henon Maps. International Journal of Mathematics and Computers in Simulation. Vol. 7, No. 4, pp. 363 - 368.
  13. Davendra D and Zelinka I (2012) GPU Based Enhanced Differential Evolution Algorithm: A Comparison between CUDA and OpenCL. In: Handbook of Optimization: From Classical to Modern Approach, (Eds) Zelinka I, Snasel V and Abraham A. pp. 845-868. ISBN 978-3-642-30503-0.
  14. Davendra D, Zelinka I and Onwubolu G (2012) Hybrid Self Organising Migrating - Scatter Search Algorithm. In: Handbook of Optimization: From Classical to Modern Approach, (Eds) Zelinka I, Snasel V and Abraham A. pp. 889-906. ISBN 978-3-642-30503-0.
  15. Senkerik R, Oplatkova Z, Zelinka I, Davendra D and Jasek R (2012) Application of Evolutionary Techniques for Optimization of Chaos Control - Introduction of Three Approaches. In: Handbook of Optimization: From Classical to Modern Approach, (Eds) Zelinka I, Snasel V and Abraham A. pp. 801-820. ISBN 978-3-642-30503-0.
  16. Guimaraes F, Silva R, Prado R, Neto O and Davendra D (2012) Flow Shop Scheduling Using a General Approach for Differential Evolution. In: Handbook of Optimization: From Classical to Modern Approach, (Eds) Zelinka I, Snasel V and Abraham A. pp. 597-614. ISBN 978-3-642-30503-0.
  17. Zelinka I, Davendra D, Chadli M, Senkerik R, Dao T and Skanderova L (2012) Evolutionary Dynamics and Complex Networks. In: Handbook of Optimization: From Classical to Modern Approach, (Eds) Zelinka I, Snasel V and Abraham A. pp. 215-244. ISBN 978-3-642-30503-0.
  18. Senkerik R, Davendra D, Zelinka I, Pluhacek M and Oplatkova Z (2012) An Investigation On the Differential Evolution Driven by Selected Discrete Chaotic Systems. Proceeding of the 18th Soft computing Conference MENDEL 2012, pp. 157-162. June 27-29, Brno, Czech Republic. ISBN 978-80-214-4540-6.
  19. Pluhacek M, Senkerik R, Davendra D and Zelinka I (2012) PID Controller Design for 4th Order System by means of Enhansed PSO Algorithm with Lozi Chaotic Map. Proceeding of the 18th Soft computing Conference MENDEL 2012, pp. 35-39. June 27-29, Brno, Czech Republic. ISBN 978-80-214-4540-6.
  20. Zelinka I, Skanderova L, Davendra D and Oplatkova Z (2012) Evolutionary Dynamics and Complex Networks. Proceeding of the 18th Soft computing Conference MENDEL 2012, pp. 88-93. June 27-29, Brno, Czech Republic. ISBN 978-80-214- 4540-6. 

  21. Davendra D, Gaura J, Bialic-Davendra M and Senkerik R (2012) CUDA Based Enhanced Differential Evolution: A Computational Analysis. Proceeding of the 26th European Conference on Modelling and Simulation, pp. 399-404, May 29 - June 1, Koblenz, Germany. ISBN: 978-0-9564944-4-3, DOI: 10.7148/2012
  22. Oplatkova Z, Senkerik R, Zelinka I and Davendra D (2012) Utilization of Analytic Programming For The Stabilization Of High Order Oscillations Of Chaotic Hénon Map. Proceeding of the 26th European Conference on Modelling and Simulation, pp. 410-418, May 29 - June 1, Koblenz, Germany. ISBN: 978-0-9564944-4-3, DOI: 10.7148/2012
  23. Pluhacek M, Senkerik R, Davendra D and Zelinka I (2012) Designing PID Controller for DC Motor System by Means of Enhanced PSO Algorithm with Discrete Chaotic Lozi Map. Proceeding of the 26th European Conference on Modelling and Simulation, pp. 405-409, May 29 - June 1, Koblenz, Germany. ISBN: 978-0- 9564944-4-3, DOI: 10.7148/2012
  24. Bernardes de Oliveira F, Davendra D and Guimaraes F (2012) Multi-Objective Differential Evolution on the GPU with C-CUDA. Proceeding of the 7th International Conference on Soft Computing Models in Industrial and Environmental Applications, pp. 123-132, September 5-7. Ostrava, Czech Republic.
  25. Senkerik R, Davendra D, Zelinka I, Oplatkova Z and Pluhacek M (2012) Optimization of the Batch Reactor by means of Chaos Driven Differential Evolution. Proceeding of the 7th International Conference on Soft Computing Models in Industrial and Environmental Applications, pp. 93-102, September 5-7. Ostrava, Czech Republic.
  26. Pluhacek M, Senkerik R, Davendra D and Zelinka I (2012) Designing PID Controller for DC Motor by Means of Enhanced PSO Algorithm with Dissipative Chaotic Map. Proceeding of the 7th International Conference on Soft Computing Models in Industrial and Environmental Applications, pp. 475-484, September 5-7. Ostrava, Czech Republic.
  27. Senkerik R, Davendra D, Zelinka I, Pluhacek M and Oplatkova Z (2012) An Investigation On the Chaos Driven Differential Evolution: An Initial Study. Proceedings of the Fifth Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012. May 24-25, Bohinj, Slovenia. ISBN: 978-961-264-043-9.
  28. Zelinka I, Skanderova L, Davendra D and Oplatkova Z (2012) Controlling Complexity. Proceedings of the International Conference of Numerical Analysis and Applied Mathematics, ICNAAN 2012, pp. 654-657, September 19-25, Kos, Greece. ISBN: 978-0-7354-1089-3.
  29. Pluhacek M, Senkerik R, Davendra D and Zelinka I (2012) Designing PID Controller for 4th Order System by Means of Enhanced PSO Algorithm with Discrete Chaotic Dissipative Standard Map. Proceedings of the 9th International Multidisciplinary Modeling & Simulation Multiconference, pp. 396-400, September 19-21, Vienna, Austria. ISBN: 978-99-97999-14-0.
  30. Senkerik R, Oplatkova Z, Zelinka I, Davendra D and Pluhacek M (2012) Utilization of Analytic Programming for the Stabiliztion of High Order Oscillations of Chaotic Logistic Equation. Proceedings of the 9th International Multidisciplinary Modeling & Simulation Multiconference, pp. 458-464, September 19-21, Vienna, Austria. ISBN: 978-99-97999-14-0.
  31. Senkerik R, Oplatkova Z, Davendra D and Zelinka I (2012) Evolutionary and Meta-Evolutionary Approach for The Optimization Of Chaos Control. Swarm and Evolutionary Computation, (Eds). Rutkowski L, Korytkowski M, Scherer R, Tadeusiewicz R, Zahed L, Zurada J. Proceedings of the International Symposia SIDE, EC and ICAISC 2012, pp. 350-358. April 29 - May 3, Zakopane, Poland. ISBN: 978-3-642-29352-8.
  32. Zelinka I, Davendra D, Senkerik R and Jasek R (2012) Evolutionary Techniques and its Possibility to Identify Catastrophic Events. Proceedings of the Sixth Global Conference on Power Control and Optimization, American Institute of Physics Conference Proceedings, 1499,351(2012), pp. 351-356. DOI: 10.1063/1.4769013.
  33. Davendra D, Zelinka I, Senkerik R, Jasek R and Bialic-Davendra M (2012) Hybrid Self Organizing Migrating Algorithm - Scatter Search for the Task of Capacitated Vehicle Routing Problem. Proceedings of the Sixth Global Conference on Power Control and Optimization, American Institute of Physics Conference Proceedings, 1499,344(2012), pp. 344-350. DOI: 10.1063/1.4769012.
  34. Senkerik R, Davendra D, Zelinka I and Oplatkova Z (2012) Influence of chaotic dynamics on the performance of evolutionary algorithms - An initial study. Numerical Analysis and Applied Mathematics ICNAAM 2012, American Institute of Physics Conference Proceedings, 1499,627(2012), pp. 627-630. DOI: 10.1063/1.4756212.
  35. Senkerik R, Oplatkova Z, Zelinka I, Davendra D and Jasek R (2012) Synthesis of Feedback Controller for Chaotic Systems by Means of Evolutionary Techniques. Proceedings of the Sixth Global Conference on Power Control and Optimization, American Institute of Physics Conference Proceedings, 1499, 196(2012), pp. 196-202. DOI: 10.1063/1.4768987.
  36. Zelinka I, Davendra D and Skanderova L (2012) Visualization of Complex Networks Dynamics: Case Study. Proceeding of the International IFIP TC 6 Workshops ETICS, HetsNets, and CompNets, NETWORKING 2012, pp. 145-150. May 25, Prague, Czech Republic. Lecture Notes in Computer Science. Volume 7291, ISSN 0302-9743.
  37. Boris Kovalerchuk, Overview of the Panel at WCCI-2012, Mathware & Soft Computing Magazine, Vol. 19 n. 2, pp. 28-30, 2012.
  38. Boris Kovalerchuk, On Rigorous Computing with Words, Mathware & Soft Computing Magazine, Vol. 19 n. 2, pp. 38-40, 2012.
  39. Boris Kovalerchuk and Leonid Perlovsky, Gregory Wheeler, "Modeling of Phenomena and Dynamic Logic of Phenomena," Journal of Applied Non-classical Logics, 22(1): pp. 51-82 (2012).
  40. Boris Kovalerchuk, Leonid Perlovsky, and Michael Kovalerchuk, “Modeling spatial uncertainties in geospatial data fusion and mining”, SPIE Proc., 8396 – 24, pp1-10 (2012).
  41. Boris Kovalerchuk Fuzzy Logic, Probability, and Measurement: Similarities and Differences in Computing with Words, 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia. IEEE digital media 2012.
  42. Kovalerchuk, B.; Delizy, F.; Riggs, L., E. Vityaev, Visual Data Mining and Discovery with Binarized Vectors, in: Data Mining: Foundations and Intelligent Paradigms (2012) 24: pp. 135-156.
  43. Szilárd Vajda, Leonard Rothacker, and Gernot A. Fink. A method for camera-based interactive whiteboard reading system. In Camera-Based Document Analysis and Recognition, volume 7139 of Lecture Notes in Computer Science, pp. 112–125. Springer, 2012.
  44. Yves Rangoni, Abdel Belaïd, and Szilárd Vajda. Labeling logical structures of document images using a dynamic perceptive neural network. International Journal of Document Analysis and Recognition, 15(1): pp. 45–55, 2012.
  45. Jan Richarz, Szilárd Vajda, and Gernot. A. Fink. Annotating handwritten characters with minimal human involvement in a semi-supervised learning strategy. In International Conference on Frontiers in Handwriting Recognition, pp. 23–28, Bari, Italy, 2012. IEEE Computer Society.
  46. Jan Richarz, Szilárd Vajda, and Gernot A. Fink. Towards semi-supervised transcription of handwritten historical weather reports. In International Workshop on Document Analysis Systems, pp. 180–184, Gold Coast, Queensland, Australia, 2012. IEEE Computer Society.
  47. Leonard Rothacker, Szilárd Vajda, and Gernot. A. Fink. Bag-of-feature representations for offline handwriting recognition applied to arabic script. In International Conference on Frontiers in Handwriting Recognition, pp. 149–154, Bari, Italy, 2012. IEEE Computer Society.
  48. Barna Szocs, Szilárd Vajda, and Judit Robu. D.A.C. draw and calc - the intuitive calculator. In 10th Jubilee International Symposium on Intelligent Systems and Informatics, pp. 157–163, Subotica, Serbia, 2012. IEEE Computer Society.

• 2011

  1. Lorentz I., Malita M. Andonie R. Evolutionary Computation on the Connex Architecture, Proceedings of The 22nd Midwest Artificial Intelligence and Cognitive Science Conference (MAICS 2011), Cincinnati, USA, April 16-17, 2011, pp. 146-153, ISSN: 1613-0073.
  2. Andonie, R., Fabry-Asztalos, L., Abdul-Wahid, B., Abdul-Wahid, S., Barker, B., Magill, L. Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors using A Small Molecular Dataset, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8, 2011, pp. 80-93.
  3. Zelinka I, Davendra D (2011) Investigation on Relations Between Complex Networks and Evolutionary Algorithm Dynamics. International Journal of Computer Information Systems and Industrial Management Applications. Vol. 3, pp. 236-247, ISSN 2150-7988.
  4. Zelinka I, Davendra D, Senkerik R and Jasek R (2011) Do Evolutionary Algorithms Dynamics Create Complex Network Structures? Complex Systems. Vol. 20, No. 4, pp. 127-140, ISSN 0891-2513.
  5. Zelinka I, Davendra D, Senkerik R, Jasek R and Oplatkova Z (2011) Analytical Programming - a Novel Approach for Evolutionary Synthesis of Symbolic Structures. In: Evolutionary Algorithms, (Ed) Kita E. InTech Publishing, pp. 149-173. ISBN 978-953-307-171-8. 

  6. Oplatkova Z, Senkerik R, Zelinka I, Davendra D and Jasek R (2011) Evolutionary Synthesis of Controller for Stabilization of Synthesized Chaotic System Oscillations. Proceeding of the 17th Soft computing Conference MENDEL 2011, pp. 73-80, June 15-17, Brno, Czech Republic. ISBN 978-80-214-4302-0
  7. Zelinka I, Davendra D, Senkerik R and Jasek R (2011) Evolutionary Identification of Catastrophic Events. Proceeding of the 17th Soft computing Conference MENDEL 2011, pp. 94-102, June 15-17, Brno, Czech Republic. ISBN 978-80-214-4302-0 

  8. Davendra D, Zelinka I, Bialic-Davendra M, Senkerik R and Jasek R (2011) Discrete Self Organising Migrating Algorithm for the Task of Capacitated Vehicle Routing Problem. Proceeding of the 17th Soft computing Conference MENDEL 2011, pp. 259-265. June 15-17, Brno, Czech Republic. ISBN 978-80-214-4302-0

  9. Senkerik R, Oplatkova Z, Zelinka I, Davendra D and Jasek R (2011) Synthesis of Feedback Control Law for Stabilization of Chaotic System Oscillations by means of Analytic Programming - Preliminary Study. Proceeding of the 5th Global Conference on Power and Optimization, June 1-3, Dubai, UAE. ISBN: 983-44483-49Kovalerchuk, B., Perlovsky, L. Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining, IEEE Applied Imagery Pattern Recogn., 2011, 10.1109/AIPR.2011.6176346
  10. B. Kovalerchuk, P. Doucette, G. Seedahmed, J.Tagestad, S.Kovalerchuk, B.Graff, MapSnap System to Perform Vector-to-Raster Fusion, SPIE Proc, vol. 8053, Geospatial InfoFusion Systems and Solutions for Defense and Security Applications, Matthew F. Pellechia; Richard Sorensen; Shiloh L. Dockstader; Rudy G. Benz II; Bernard V. Brower, Editors, 805306, 2011.
  11. Kovalerchuk B. Perlovsky L. Uncertainty Modeling for Spatial Data Fusion and Mining, In: Proc. IEEE Symp. Series on Computational Intelligence, Paris,2011, DOI 10.1109/CCMB.2011.5952126.
  12. Kovalerchuk, B., Balinsky, A., Visual Data Mining and Discovery in Multivariate Data using Monotone n-D Structure, In: Knowledge Processing and Data Analysis, Wolff, K.E.; Palchunov, D.E.; Zagoruiko, N.G.; Andelfinger, U. (Eds.), LNCS 6581, pp. 297-313, Springer, 2011.
  13. Boris Galitsky, Boris Kovalerchuk, Josep Lluís de la Rosa: Assessing plausibility of explanation and meta-explanation in inter-human conflicts. Engineering Applications of Artificial Intelligence, 24(8): pp. 1472-1486 (2011)
  14. Boris Galitsky, Josep Lluís de la Rosa, Boris Kovalerchuk: Discovering common outcomes of agents' communicative actions in various domains. Knowledge-Based Systems. 24(2): pp. 210-229 (2011)
  15. Evgenii E. Vityaev, Leonid I. Perlovsky, Boris Kovalerchuk, Stanislav O. Speransky, Cognitive Probabilistic Dynamic Logic, Neuroinformatics, Vol 5, № 1, 2011 (in Russian)
  16. Szilárd Vajda, Akmal Junaidi, and Gernot A. Fink. A semi-supervised ensemble learning approach for character labeling with minimal human effort. In International Conference on Document Analysis and Recognition, pp. 259–263. IAPR, IEEE Computer Society, 2011.
  17. Akmal Junaidi, Szilárd Vajda, and Gernot A. Fink. Lampung - a new handwritten character benchmark: Database, Labeling and Recognition. In International Workshop on Multilingual OCR, pp. 105–112. IAPR, ACM, 2011. (Best Paper Award.)
  18. Szilárd Vajda, Leonard Rothacker, and Gernot A. Fink. A camera-based interactive whiteboard reading system. In International Workshop on Camera-Based Document Analysis and Recognition, pp. 91–96. IAPR, 2011.