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Disambiguation of "Szymanski, Artur"

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Data mining using SPECT can predict neurological symptom development in Parkinson's patients.

, , , , , , and . CYBCONF, page 218-223. IEEE, (2015)

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Christian Szymanski

Tanja Szymanski

Anneliese Szymanski

Gerhard Szymanski

Peter Szymanski

 

Other publications of authors with the same name

Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson's Patients., and . Brain Informatics and Health, volume 8609 of Lecture Notes in Computer Science, page 345-356. Springer, (2014)Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients., , , , , and . Sensors, 16 (9): 1498 (2016)Self-complementing permutations of k-uniform hypergraphs., and . Discret. Math. Theor. Comput. Sci., 11 (1): 117-124 (2009)Cyclic Partitions of Complete Uniform Hypergraphs., and . Electron. J. Comb., (2010)Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients., , and . PReMI, volume 9124 of Lecture Notes in Computer Science, page 325-334. Springer, (2015)Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression., , , , , and . ACIIDS (2), volume 11432 of Lecture Notes in Computer Science, page 602-614. Springer, (2019)A note on t-complementing permutations for graphs., , , , and . Inf. Process. Lett., 110 (2): 44-45 (2009)Building Intelligent Classifiers for Doctor-Independent Parkinson's Disease Treatments., , , , and . ITIB (1), volume 471 of Advances in Intelligent Systems and Computing, page 267-276. Springer, (2016)Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction., , , and . ACIIDS (2), volume 12034 of Lecture Notes in Computer Science, page 537-547. Springer, (2020)Combining Results of Different Oculometric Tests Improved Prediction of Parkinson's Disease Development., , , , , and . ACIIDS (2), volume 12034 of Lecture Notes in Computer Science, page 517-526. Springer, (2020)