Svozil D., Kvasnička V., Pospíchal J.: Introduction to multi-layer feed-forward neural networks. Chemometrics and Intell. LaboratorySystems 39(1997) 43-62 (1271 Scopus cit.).

V. Kvasnička, Š. Sklenák, and J. Pospíchal:”An Application of Recurrent Neural Networks in Chemistry. Prediction and Classification of C13 NMR Chemical Shifts in a Series of Monosubstituted Benzenes”, J. Chem. Inf. Comp. Sci. 32, 742-747 (1992)., (59 Scopus cit.).

V. Kvasnička, J. Pospíchal a P. Tiňo: Evolutionary algorithms (in Slovak). STU Publishing, Bratislava 2000 (141 cit.).

V. Kvasnička and J. Pospíchal: A Hybrid of Simplex Method and Simulated Annealing, Chemometrics 39 (1997) 161-172 (62 cit.)

Kvasnička V., Beňušková Ľ., Pospíchal J., Farkaš I., Tiňo P., Kráľ A.: “Introduction into theory of Neural Networks”, IRIS Press, Bratislava, 1997 (93 cit.).

Šimon, M., Huraj, L., Dirgová Luptáková, I. and Pospíchal, J., 2019. Heuristics for Spreading Alarm throughout a Network. Applied Sciences, 9(16), p.3269. (CC, IF 2.217) (21 Scopus cit)

Šimon, M., Iveta, D.L., Huraj, L. and Pospíchal, J., 2019. Multi-Hub Location Heuristic for Alert Routing. IEEE Access, 7, pp.40369-40379. (CC, IF 4.098) (3 Scopus cit.)

Kubovčík, Martin, Iveta Dirgová Luptáková, and Jiří Pospíchal. "Signal Novelty Detection as an Intrinsic Reward for Robotics." Sensors 23, no. 8 (2023): 3985. https://doi.org/10.3390/s23083985 (CC,IF 3.576) (2 Scopus cit.)

Pospíchal, Jiří, Martin Kubovčík, and Iveta Dirgová Luptáková. "Solar Irradiance Forecasting with Transformer Model." Applied Sciences 12, no. 17 (2022): 8852. https://doi.org/10.3390/app12178852 (CC, IF 2.7) (13 Scopus cit.)

Dirgová Luptáková, I., Kubovčík, M., and Pospíchal, J.: Wearable Sensor-Based Human Activity Recognition with Transformer Model, Sensors 2022, 22(5), 1911; (CC, IF 3.576) A+ (123 Scopus cit.)

Šimon, M., Huraj, L., Dirgová Luptáková, I. and Pospíchal, J., 2019. Heuristics for Spreading Alarm throughout a Network. Applied Sciences, 9(16), p.3269. (CC, IF

2.217).

Cited by:

Gautam, R. K., & Kare, A. S. (2021). Faster heuristics for graph burning. Applied Intelligence, 1-11. (CC, IF 5.086)

Citing paper is 10 times cited itself in WOS.

Šimon, M., Dirgová Luptáková, I., Huraj, L., Hosťovecký, M. and Pospíchal, J.: Combined Heuristic Attack Strategy on Complex Networks. Mathematical Problems in

Engineering, vol. 2017, Article ID 6108563, 9 pages, 2017. doi.org/10.1155/2017/6108563 (CC, IF 1.145).

Cited by:

Lou, Y., Wu, R., Li, J., Wang, L., & Chen, G. (2021). A Convolutional Neural Network Approach to Predicting Network Connectedness Robustness. IEEE Transactions on Network Science and Engineering, 8(4), 3209-3219. (CC, IF 5.213)

Citing paper is 29 times cited itself in WOS.

Svozil, D., Kvasnicka, V., & Pospichal, J. (1997). Introduction to multi-layer feed-forward neural networks. Chemometrics and intelligent laboratory systems, 39(1), 43-62.

Cited by:

Min, S., Lee, B., & Yoon, S. (2017). Deep learning in bioinformatics. Briefings in bioinformatics, 18(5), 851-869.

Citing paper is 589times cited itself in WOS

Babinec, Š. and Pospíchal, J., 2007, September. Improving the prediction accuracy of echo state neural networks by anti-Oja’s learning. In International Conference on Artificial Neural Networks (pp. 19-28). Springer, Berlin, Heidelberg.

Cited by:

Lukoševičius, M. and Jaeger, H., 2009. Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), pp.127-149.

Citing paper is 1102 times cited itself in WOS.

Kvasnicka, V. and Pospichal, J., 1999. An emergence of coordinated communication in populations of agents. Artificial Life, 5(4), pp.319-342.

Cited by:

Christiansen, M. H., & Chater, N. (2008). Language as shaped by the brain. Behavioral and brain sciences, 31(5), 489-509.

Citing paper is 446times cited itself in WOS.

Roadmap of a digital platform providing AI (Artificial Intelligence) automation of decision-making processes in the field of communication strategy. APVV-22-0469, Researcher

VEGA 1/0145/18 Optimisation of network security by computational intelligence. Deputy of principal investigator

VEGA 2/0070/21 Low-dimensional materials- manipulation, functionalization and bioapplications. Researcher

CCA22137 - Randomised Optimisation Algorithms Research Network ((Start date - 02/10/2023 End date - 01/10/2027)

APVV-17-0116. Algorithm of collective intelligence: Interdisciplinary study of swarm behavior of bats. Principal investigator for UCM