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ORCIDVáclav Snásel
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- affiliation: VšB - Technical University of Ostrava, Ostrava-Poruba, Czech Republic
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2020 – today
- 2021
[j83]Bilal
, Millie Pant, Václav Snásel:
Design Optimization of Water Distribution Networks through a Novel Differential Evolution. IEEE Access 9: 16133-16151 (2021)- [j82]Tram Nguyen, Loan T. T. Nguyen, Toan Bui, Ho Dac Loc, Witold Pedrycz, Václav Snásel, Bay Vo:
Multi-Swarm Optimization for Extracting Multiple-Choice Tests From Question Banks. IEEE Access 9: 32131-32148 (2021) - [j81]Shanu Verma, Millie Pant, Václav Snásel:
A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems. IEEE Access 9: 57757-57791 (2021) - [j80]Lidia Ogiela, Václav Snásel:
Intelligent and semantic threshold schemes for security in cloud computing. Concurr. Comput. Pract. Exp. 33(2) (2021) - [j79]Quang-Thinh Bui, Bay Vo, Václav Snásel, Witold Pedrycz, Tzung-Pei Hong, Ngoc Thanh Nguyen, Mu-Yen Chen:
SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data. IEEE Trans. Fuzzy Syst. 29(1): 75-89 (2021) - [e49]Aboul Ella Hassanien, Adam Slowik, Václav Snásel, Hisham El-Deeb, Mohamed Fahmy Tolba:
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, AISI 2020, Cairo, Egypt, 19-21 October 2020. Advances in Intelligent Systems and Computing 1261, Springer 2021, ISBN 978-3-030-58668-3 [contents] - 2020
- [j78]Jie Wu, Yuegong Li, Nan Jin, Wei Deng, Houjun Tang, Václav Snásel:
A GaN-Based Wireless Power and Information Transmission Method Using Dual-Frequency Programmed Harmonic Modulation. IEEE Access 8: 49848-49856 (2020) - [j77]Petr Prokop, Václav Snásel, Pavla Drázdilová, Jan Platos:
Clustering and Closure Coefficient Based on k-CT Components. IEEE Access 8: 101145-101152 (2020) - [j76]Lingping Kong, Václav Snásel, Swagatam Das:
D-Matrix: A Novel Ranking Procedure for Prioritizing Data Items. IEEE Access 8: 145843-145861 (2020) - [j75]Biswajit Biswas, Swarup Kr Ghosh, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel, Amlan Chakrabarti:
Chest X-ray enhancement to interpret pneumonia malformation based on fuzzy soft set and Dempster-Shafer theory of evidence. Appl. Soft Comput. 86 (2020) - [j74]Alokananda Dey, Sandip Dey, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel:
Novel quantum inspired approaches for automatic clustering of gray level images using Particle Swarm Optimization, Spider Monkey Optimization and Ageist Spider Monkey Optimization algorithms. Appl. Soft Comput. 88: 106040 (2020) - [j73]Biswajit Biswas, Siddhartha Bhattacharyya, Amlan Chakrabarti, Kashi Nath Dey, Jan Platos, Václav Snásel:
Colonoscopy contrast-enhanced by intuitionistic fuzzy soft sets for polyp cancer localization. Appl. Soft Comput. 95: 106492 (2020) - [j72]Václav Snásel, Pavel Krömer, Jakub Safarik, Jan Platos:
JPEG steganography with particle swarm optimization accelerated by AVX. Concurr. Comput. Pract. Exp. 32(8) (2020) - [j71]Ajith Abraham, Edward Au, Alécio Binotto, Laura García-Hernández, Vladimír Marík, Félix Gómez Mármol, Václav Snásel, Thomas I. Strasser, Wolfgang Wahlster:
Industry 4.0: Quo Vadis? Eng. Appl. Artif. Intell. 87 (2020) - [j70]Lam B. Q. Nguyen, Bay Vo, Ngoc-Thao Le, Václav Snásel, Ivan Zelinka:
Fast and scalable algorithms for mining subgraphs in a single large graph. Eng. Appl. Artif. Intell. 90: 103539 (2020) - [j69]Quang-Thinh Bui, Bay Vo, Hoang-Anh Nguyen Do, Nguyen Quoc Viet Hung, Václav Snásel:
F-Mapper: A Fuzzy Mapper clustering algorithm. Knowl. Based Syst. 189 (2020) - [j68]Pavel Krömer, Jan Platos, Václav Snásel:
Differential evolution for the optimization of low-discrepancy generalized Halton sequences. Swarm Evol. Comput. 54: 100649 (2020) - [c433]Pavel Krömer, Jan Platos, Václav Snásel:
Self-organizing Migrating Algorithm for the Single Row Facility Layout Problem. CEC 2020: 1-8 - [c432]Bich-Ngan T. Nguyen, Phuong N. H. Pham, Vu Thanh Nguyen, Phan Quoc Viet, Le Dinh Tuan, Václav Snásel:
Py_ape: Text Data Acquiring, Extracting, Cleaning and Schema Matching in Python. FDSE (CCIS Volume) 2020: 78-89 - [c431]Pavel Krömer, Jan Platos, Václav Snásel:
Solving the single row facility layout problem by differential evolution. GECCO 2020: 210-218 - [c430]Vang V. Le, Tin T. Tran, Phuong N. H. Pham, Václav Snásel:
Anchor Link Prediction in Online Social Network Using Graph Embedding and Binary Classification. ICCCI 2020: 229-240 - [c429]Phuong N. H. Pham, Vang V. Le, Václav Snásel:
Community Detection in Complex Networks Using Algorithms Based on K-Means and Entropy. ICCCI 2020: 241-251 - [c428]Rostislav Hrivnák, Petr Gajdos, Václav Snásel:
Towards Faster Matching Algorithm Using Ternary Tree in the Area of Genome Mapping. INCoS 2020: 413-424 - [c427]Jana Nowaková, Pavel Krömer, Jan Platos, Václav Snásel:
Preprocessing COVID-19 Radiographic Images by Evolutionary Column Subset Selection. INCoS 2020: 425-436
2010 – 2019
- 2019
- [j67]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Heuristic design of fuzzy inference systems: A review of three decades of research. Eng. Appl. Artif. Intell. 85: 845-864 (2019) - [j66]Biswajit Biswas, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel:
Enhancement of dronogram aid to visual interpretation of target objects via intuitionistic fuzzy hesitant sets. Inf. Sci. 500: 67-86 (2019) - [j65]Vojtech Uher, Petr Gajdos, Václav Snásel, Yu-Chi Lai, Michal Radecký:
Hierarchical Hexagonal Clustering and Indexing. Symmetry 11(6): 731 (2019) - [c426]Rik Das, Sourav De, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel, Aboul Ella Hassanien:
Data Augmentation and Feature Fusion for Melanoma Detection with Content Based Image Classification. AMLTA 2019: 712-721 - [c425]Ladislav Zjavka, Václav Snásel, Ajith Abraham:
Wind-Power Intra-day Statistical Predictions Using Sum PDE Models of Polynomial Networks Combining the PDE Decomposition with Operational Calculus Transforms. HIS 2019: 72-82 - [c424]Vojtech Uher, Petr Gajdos, Václav Snásel:
A Hybrid Point Indexing Structure Based on Orthogonal and Hexagonal Grids. ICCMS 2019: 151-156 - [c423]Jana Nowaková, Martin Hasal, Václav Snásel:
Visualization of Users Raking in Online Dating Service. INCoS 2019: 202-211 - [c422]Pavel Krömer, Jan Platos, Václav Snásel:
Optimization of Generalized Halton Sequences by Differential Evolution. LION 2019: 370-382 - [c421]Ladislav Zjavka, Václav Snásel, Ajith Abraham:
Wind Power Intra-day Multi-step Predictions Using PDE Sum Models of Polynomial Networks Based on the PDE Conversion and Substitution with the L-Transformation. SoCPaR 2019: 254-265 - [i9]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Heuristic design of fuzzy inference systems: A review of three decades of research. CoRR abs/1908.10122 (2019) - 2018
- [j64]Pavel Krömer, Jan Platos, Jana Nowaková, Václav Snásel:
Optimal column subset selection for image classification by genetic algorithms. Ann. Oper. Res. 265(2): 205-222 (2018) - [j63]Pavel Krömer, Jan Platos, Jana Nowaková, Václav Snásel:
An acceleration of quasigroup operations by residue arithmetic. Concurr. Comput. Pract. Exp. 30(2) (2018) - [j62]Bao Huynh, Cuong Trinh, Huy M. Huynh, Thien-Trang Van, Bay Vo, Václav Snásel:
An efficient approach for mining sequential patterns using multiple threads on very large databases. Eng. Appl. Artif. Intell. 74: 242-251 (2018) - [j61]Toan Bui, Tram Nguyen, Bay Vo, Thanh Nguyen, Witold Pedrycz, Václav Snásel:
Application of Particle Swarm Optimization to Create Multiple-Choice Tests. J. Inf. Sci. Eng. 34(6): 1405-1423 (2018) - [j60]Jana Nowaková, Michal Prilepok, Václav Snásel:
Correction to: Medical Image Retrieval Using Vector Quantization and Fuzzy S-Tree. J. Medical Syst. 42(5): 98 (2018) - [j59]Varun Kumar Ojha, Serena Schiano, Chuan-Yu Wu, Václav Snásel, Ajith Abraham:
Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. Neural Comput. Appl. 29(7): 467-481 (2018) - [j58]Hossam M. Zawbaa, Eid Emary, Crina Grosan, Václav Snásel:
Large-dimensionality small-instance set feature selection: A hybrid bio-inspired heuristic approach. Swarm Evol. Comput. 42: 29-42 (2018) - [j57]Lingping Kong, Jeng-Shyang Pan, Václav Snásel, Pei-Wei Tsai, Tien-Wen Sung:
An energy-aware routing protocol for wireless sensor network based on genetic algorithm. Telecommun. Syst. 67(3): 451-463 (2018) - [j56]Varun Kumar Ojha, Václav Snásel, Ajith Abraham:
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees. IEEE Trans. Fuzzy Syst. 26(2): 915-936 (2018) - [c420]Alokananda Dey, Sandip Dey, Siddhartha Bhattacharyya, Václav Snásel, Aboul Ella Hassanien:
Simulated Annealing Based Quantum Inspired Automatic Clustering Technique. AMLTA 2018: 73-81 - [c419]Vojtech Uher, Petr Gajdos, Václav Snásel:
Proposal of Effective Orthogonal and Hexagonal Hierarchical Structures for Disc Queries. CRC 2018: 20-26 - [c418]Siddhartha Bhattacharyya, Václav Snásel, Alokananda Dey, Sandip Dey, Debanjan Konar:
Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering. ICACCI 2018: 1869-1874 - [c417]Lingping Kong, Václav Snásel:
A New Advantage Sharing Inspired Particle Swarm Optimization Algorithm. ICGEC 2018: 3-10 - [e48]Ajith Abraham, Abdelkrim Haqiq, Aboul Ella Hassanien, Václav Snásel, Adel M. Alimi:
Proceedings of the Third International Afro-European Conference for Industrial Advancement - AECIA 2016, Marrakesh, Morocco, 21-23 November, 2016. Advances in Intelligent Systems and Computing 565, Springer 2018, ISBN 978-3-319-60833-4 [contents] - [e47]Pavel Krömer, Enrique Alba, Jeng-Shyang Pan, Václav Snásel:
Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017, Málaga, Spain, October 9-11, 2017. Advances in Intelligent Systems and Computing 682, Springer 2018, ISBN 978-3-319-68526-7 [contents] - 2017
- [j55]Bao Huynh, Bay Vo, Václav Snásel:
An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns. IEEE Access 5: 17392-17402 (2017) - [j54]Bao Huynh, Bay Vo, Václav Snásel:
An efficient method for mining frequent sequential patterns using multi-Core processors. Appl. Intell. 46(3): 703-716 (2017) - [j53]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. Appl. Soft Comput. 52: 909-924 (2017) - [j52]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Metaheuristic design of feedforward neural networks: A review of two decades of research. Eng. Appl. Artif. Intell. 60: 97-116 (2017) - [j51]Václav Snásel, Jana Nowaková, Fatos Xhafa, Leonard Barolli:
Geometrical and topological approaches to Big Data. Future Gener. Comput. Syst. 67: 286-296 (2017) - [j50]Young-Sik Jeong, Václav Snásel, Hamid R. Arabnia, Jason C. Hung:
Fuzzy neuro theory and technologies for cloud computing; edited by Young-Sik Jeong, Vaclav Snasel, Hamid R. Arabnia and Jason C. Hung. Neurocomputing 256: 1-4 (2017) - [j49]Václav Snásel:
Editorial Foreword. J. Adv. Eng. Comput. 1(1): 3 (2017) - [j48]Jana Nowaková, Michal Prilepok, Václav Snásel:
Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree. J. Medical Syst. 41(1): 18:1-18:16 (2017) - [j47]Thanh-Long Nguyen, Bay Vo, Václav Snásel:
Efficient algorithms for mining colossal patterns in high dimensional databases. Knowl. Based Syst. 122: 75-89 (2017) - [j46]Ladislav Zjavka, Pavel Krömer, Stanislav Misák, Václav Snásel:
Modelling the Photovoltaic output Power using the differential Polynomial Network and Evolutionary fuzzy Rules. Math. Model. Anal. 22(1): 78-94 (2017) - [j45]Tomas Vantuch, Stanislav Misák, Tomás Jezowicz, Tomas Burianek, Václav Snásel:
The Power Quality Forecasting Model for Off-Grid System Supported by Multiobjective Optimization. IEEE Trans. Ind. Electron. 64(12): 9507-9516 (2017) - [j44]Lingping Kong, Jeng-Shyang Pan, Tien-Wen Sung, Pei-Wei Tsai, Václav Snásel:
An Energy Balancing Strategy Based on Hilbert Curve and Genetic Algorithm for Wireless Sensor Networks. Wirel. Commun. Mob. Comput. 2017 (2017) - [c416]Vojtech Uher, Petr Gajdos, Václav Snásel:
Towards the Gosper Space Filling Curve Implementation. CYBCONF 2017: 1-8 - [c415]Sahar Cherif, Nesrine Baklouti, Václav Snásel, Adel M. Alimi:
New fuzzy similarity measures: From intuitionistic to type-2 fuzzy sets. FUZZ-IEEE 2017: 1-6 - [c414]Tong Duc Phong, Hieu Ngoc Duong, Hien T. Nguyen, Nguyen Thanh Trong, Vu H. Nguyen, Tran Van Hoa, Václav Snásel:
Brain Hemorrhage Diagnosis by Using Deep Learning. ICMLSC 2017: 34-39 - [c413]Jan Platos, Jana Nowaková, Pavel Krömer, Václav Snásel:
Space-Filling Curves based on Residue Number System. INCoS 2017: 53-61 - [c412]Pavel Krömer, Jan Platos, Václav Snásel:
Evaluation of Pseudorandom Number Generators Based on Residue Arithmetic in Differential Evolution. INCoS 2017: 336-348 - [c411]Thanh-Long Nguyen, Bay Vo, Bao Huynh, Václav Snásel, Loan T. T. Nguyen:
Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases. ISAT (1) 2017: 195-204 - [c410]Cao-Tri Nguyen, Hieu Ngoc Duong, Tran Van Hoai, Tran Van Hoa, Vu H. Nguyen, Nguyen Thanh Toan, Václav Snásel:
A novel approach based on deep learning techniques and UAVs to yield assessment of paddy fields. KSE 2017: 257-262 - [e46]Jeng-Shyang Pan, Václav Snásel, Tien-Wen Sung, Xiao Dong Wang:
Intelligent Data Analysis and Applications - Proceedings of the Third Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2016, Fuzhou City, China, November 7-9, 2016. Advances in Intelligent Systems and Computing 535, 2017, ISBN 978-3-319-48498-3 [contents] - [i8]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research. CoRR abs/1705.05584 (2017) - [i7]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. CoRR abs/1705.05592 (2017) - [i6]Varun Kumar Ojha, Václav Snásel, Ajith Abraham:
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees. CoRR abs/1705.05769 (2017) - [i5]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics. CoRR abs/1707.01810 (2017) - [i4]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
ACO for Continuous Function Optimization: A Performance Analysis. CoRR abs/1707.01812 (2017) - [i3]Varun Kumar Ojha, Serena Schiano, Chuan-Yu Wu, Václav Snásel, Ajith Abraham:
Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. CoRR abs/1709.04318 (2017) - 2016
- [j43]Tarek Gaber, Alaa Tharwat, Aboul Ella Hassanien, Václav Snásel:
Biometric cattle identification approach based on Weber's Local Descriptor and AdaBoost classifier. Comput. Electron. Agric. 122: 55-66 (2016) - [j42]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds. Comput. Intell. Neurosci. 2016: 6329530:1-6329530:14 (2016) - [j41]Vu H. Nguyen, Hien T. Nguyen, Hieu Ngoc Duong, Václav Snásel:
n-Gram-Based Text Compression. Comput. Intell. Neurosci. 2016: 9483646:1-9483646:11 (2016) - [j40]Álvaro Herrero, Bruno Baruque, Fanny Klett, Ajith Abraham, Václav Snásel, André C. P. L. F. de Carvalho, Pablo García Bringas, Ivan Zelinka, Héctor Quintián, Juan Manuel Corchado, Emilio Corchado:
SPECIAL ISSUE SOCO13-JAL. J. Appl. Log. 17: 1-3 (2016) - [j39]Václav Snásel, Lingping Kong, Pei-Wei Tsai, Jeng-Shyang Pan:
Sink Node Placement Strategies based on Cat Swarm Optimization Algorithm. J. Netw. Intell. 1(2): 52-60 (2016) - [c409]Ladislav Zjavka, Václav Snásel:
Forecasting a Photovoltaic Power Output with Ordinary Differential Equation Solutions Using the "Aladin" Model. AECIA 2016: 28-37 - [c408]Michal Prilepok, Ibrahim Salem Jahan, Václav Snásel:
Detection of Finger Flexions Based on Decision Tree. AECIA 2016: 57-67 - [c407]Tomás Jezowicz, Petr Gajdos, Vojtech Uher, Stanislav Misák, Václav Snásel:
Improving the Speed and Quality of Extreme Learning Machine by Conjugate Gradient Method. AECIA 2016: 128-137 - [c406]Essam H. Houssein, Moataz Kilany, Aboul Ella Hassanien, Václav Snásel:
A Two-Stage Feature Extraction Approach for ECG Signals. AECIA 2016: 299-310 - [c405]Tomas Vantuch, Václav Snásel, Ivan Zelinka:
Dimensionality Reduction Method's Comparison Based on Statistical Dependencies. ANT/SEIT 2016: 1025-1031 - [c404]Vojtech Uher, Petr Gajdos, Václav Snásel:
The Visualization of Large Graphs Accelerated by the Parallel Nearest Neighbors Algorithm. BigMM 2016: 9-16 - [c403]Pei-Wei Tsai, Lingping Kong, Václav Snásel, Jeng-Shyang Pan, Vaci Istanda, Zhi-Yong Hu:
Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment. CMCSN 2016: 166-169 - [c402]Vang V. Le, Hien T. Nguyen, Václav Snásel, Tran Trong Dao:
Identify Influential Spreaders in Online Social Networks Based on Social Meta Path and PageRank. CSoNet 2016: 51-61 - [c401]Phuong N. H. Pham, Hien T. Nguyen, Václav Snásel:
Improving Node Similarity for Discovering Community Structure in Complex Networks. CSoNet 2016: 74-85 - [c400]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
A Novel Approach of Applying the Differential Evolution to Spatial Discrete Data. ECAI 2016: 1555-1556 - [c399]Vojtech Uher, Petr Gajdos, Václav Snásel:
Searching of Circular Neighborhoods in the Square and Hexagonal Regular Grids. ECC 2016: 121-129 - [c398]Radoslav Strba, Svatopluk Stolfa, Jakub Stolfa, Ivo Vondrák, Václav Snásel:
An Application of Neural Network in Method for Use Case Based Effort Estimation. EJC 2016: 231-248 - [c397]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Metaheuristic tuning of type-II fuzzy inference systems for data mining. FUZZ-IEEE 2016: 610-617 - [c396]Sahar Cherif, Nesrine Baklouti, Adel M. Alimi, Václav Snásel:
Fuzzy feature selection based on interval type-2 fuzzy sets. ICMV 2016: 103412M - [c395]Hieu Ngoc Duong, Vu H. Nguyen, Tam M. Nguyen, Hien T. Nguyen, Václav Snásel:
The Hybrid Approaches for Forecasting Real Time Multi-step-ahead Boiler Efficiency. IMCOM 2016: 16:1-16:8 - [c394]Vu H. Nguyen, Hien T. Nguyen, Hieu Ngoc Duong, Václav Snásel:
A syllable-based method for Vietnamese text compression. IMCOM 2016: 17:1-17:6 - [c393]Ladislav Zjavka, Václav Snásel, Varun Kumar Ojha, Witold Pedrycz:
A substitution of the general partial differential equation with extended polynomial networks. IJCNN 2016: 4819-4826 - [c392]Michal Vasinek, Jan Platos, Václav Snásel:
Limitations on Low Variance k-Fold Cross Validation in Learning Set of Rules Inducers. INCoS 2016: 207-214 - [c391]Sahar Cherif, Nesrine Baklouti, Adel M. Alimi, Václav Snásel:
Linguistic Representation by Fuzzy Formal Concept and Interval Type-2 Feature Selection. ISDA 2016: 1071-1081 - [c390]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
A proposal of hierarchical vertex clustering based on the Gosper curve. SMC 2016: 632-637 - [e45]Ajith Abraham, Katarzyna Wegrzyn-Wolska, Aboul Ella Hassanien, Václav Snásel, Adel M. Alimi:
Proceedings of the Second International Afro-European Conference for Industrial Advancement, AECIA 2015, Villejuif (Paris-sud), France, 9-11 September 2015. Advances in Intelligent Systems and Computing 427, Springer 2016, ISBN 978-3-319-29503-9 [contents] - [e44]Hien T. Nguyen, Václav Snásel:
Computational Social Networks - 5th International Conference, CSoNet 2016, Ho Chi Minh City, Vietnam, August 2-4, 2016, Proceedings. Lecture Notes in Computer Science 9795, Springer 2016, ISBN 978-3-319-42344-9 [contents] - [e43]Václav Snásel, Ajith Abraham, Pavel Krömer, Millie Pant, Azah Kamilah Muda:
Innovations in Bio-Inspired Computing and Applications - Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015) held in Kochi, India during December 16-18, 2015. Advances in Intelligent Systems and Computing 424, Springer 2016, ISBN 978-3-319-28030-1 [contents] - [e42]Fatos Xhafa, Leonard Barolli, Václav Snásel, Ivan Zelinka:
2016 International Conference on Intelligent Networking and Collaborative Systems, INCoS 2016, Ostrawva, Czech Republic, September 7-9, 2016. IEEE 2016, ISBN 978-1-5090-4124-4 [contents] - [e41]Nelishia Pillay, Andries P. Engelbrecht, Ajith Abraham, Mathys C. du Plessis, Václav Snásel, Azah Kamilah Muda:
Advances in Nature and Biologically Inspired Computing - Proceedings of the 7th World Congress on Nature and Biologically Inspired Computing (NaBIC 2015) in Pietermaritzburg, South Africa, held December 01-03, 2015. Advances in Intelligent Systems and Computing 419, Springer 2016, ISBN 978-3-319-27399-0 [contents] - 2015
- [j38]Milos Kudelka, Sarka Zehnalova, Zdenek Horak, Pavel Krömer, Václav Snásel:
Local Dependency in Networks. Int. J. Appl. Math. Comput. Sci. 25(2): 281-293 (2015) - [j37]Álvaro Herrero, Václav Snásel, Ajith Abraham, Ivan Zelinka, Héctor Quintián, Emilio Corchado:
Editorial: Special issue CISIS12-IGPL. Log. J. IGPL 23(1): 1-3 (2015) - [j36]Aboul Ella Hassanien, Mostafa A. Salama, Jan Platos, Václav Snásel:
Rough local transfer function for cardiac disorders detection using heart sounds. Log. J. IGPL 23(3): 506-520 (2015) - [j35]Lingping Kong, Jeng-Shyang Pan, Pei-wei Tsai, Václav Snásel, Jiun-Huei Ho:
A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network. Int. J. Distributed Sens. Networks 11: 729680:1-729680:10 (2015) - [j34]Mohamed Mostafa M. Fouad, Václav Snásel, Aboul Ella Hassanien:
Energy-Aware Sink Node Localization Algorithm for Wireless Sensor Networks. Int. J. Distributed Sens. Networks 11: 810356:1-810356:7 (2015) - [j33]Héctor Quintián, Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Václav Snásel, Sung-Bae Cho:
Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 163: 1-2 (2015) - [j32]Emilio Corchado, Ajith Abraham, Václav Snásel, Pablo García Bringas, Ivan Zelinka, Héctor Quintián:
Combined special issue SOCO 2012-2013: Recent advancements in soft computing and its application in industrial and environmental problems. Neurocomputing 167: 1-2 (2015) - [j31]Álvaro Herrero, Václav Snásel, Ajith Abraham, Ivan Zelinka, Bruno Baruque, Héctor Quintián, José Luís Calvo-Rolle, Javier Sedano, André C. P. L. F. de Carvalho, Emilio Corchado:
Special issue SOCO12. J. Appl. Log. 13(2): 91-93 (2015) - [j30]Ivan Zelinka, Jouni Lampinen, Václav Snásel, Roman Senkerik:
Recent advances in swarm and evolutionary computation-foreword. Swarm Evol. Comput. 25: 1 (2015) - [j29]Milos Kudelka, Pavel Krömer, Martin Radvanský, Zdenek Horak, Václav Snásel:
Efficient visualization of social networks based on modified Sammon's mapping. Swarm Evol. Comput. 25: 63-71 (2015) - [c389]Jakub Stolfa, Svatopluk Stolfa, Michael Alexander Kosinár, Václav Snásel:
Introduction to Integration of the Process Mining to the Knowledge Framework for Software Processes. AECIA 2015: 21-31 - [c388]