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Alessio Rossi
Alessio Rossi
Department of Computer Science - University of Pisa
Verified email at di.unipi.it
Title
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Cited by
Year
Effective injury forecasting in soccer with GPS training data and machine learning
A Rossi, L Pappalardo, P Cintia, FM Iaia, J Fernŕndez, D Medina
PloS one 13 (7), e0201264, 2018
1872018
A public data set of spatio-temporal match events in soccer competitions
L Pappalardo, P Cintia, A Rossi, E Massucco, P Ferragina, D Pedreschi, ...
Scientific data 6 (1), 1-15, 2019
1042019
Agility profile in sub-elite under-11 soccer players: is SAQ training adequate to improve sprint, change of direction speed and reactive agility performance?
A Trecroci, Z Milanović, A Rossi, M Broggi, D Formenti, G Alberti
Research in sports medicine 24 (4), 331-340, 2016
572016
The effect of chronotype on psychophysiological responses during aerobic self-paced exercises
A Rossi, D Formenti, JA Vitale, G Calogiuri, A Weydahl
Perceptual and Motor Skills 121 (3), 840-855, 2015
512015
Analysis of the impact of interpolation methods of missing RR-intervals caused by motion artifacts on HRV features estimations
D Morelli, A Rossi, M Cairo, DA Clifton
Sensors 19 (14), 3163, 2019
412019
Skin temperature evaluation by infrared thermography: comparison of two image analysis methods during the nonsteady state induced by physical exercise
D Formenti, N Ludwig, A Rossi, A Trecroci, G Alberti, M Gargano, A Merla, ...
Infrared Physics & Technology 81, 32-40, 2017
382017
Exercise intensity and pacing strategy of cross-country skiers during a 10 km skating simulated race
D Formenti, A Rossi, G Calogiuri, TO Thomassen, R Scurati, A Weydahl
Research in sports medicine 23 (2), 126-139, 2015
352015
GPS data reflect players’ internal load in soccer
A Rossi, E Perri, A Trecroci, M Savino, G Alberti, FM Iaia
2017 IEEE international conference on data mining workshops (ICDMW), 890-893, 2017
252017
Characterization of in-season elite football trainings by GPS features: The Identity Card of a Short-Term Football Training Cycle
A Rossi, E Perri, A Trecroci, M Savino, G Alberti, MF Iaia
2016 IEEE 16th International conference on data mining workshops (ICDMW …, 2016
222016
Importance of anthropometric features to predict physical performance in elite youth soccer: A machine learning approach
T Bongiovanni, A Trecroci, L Cavaggioni, A Rossi, E Perri, G Pasta, ...
Research in Sports Medicine 29 (3), 213-224, 2021
202021
Volleyball-specific skills and cognitive functions can discriminate players of different competitive levels
D Formenti, A Trecroci, M Duca, M Vanoni, M Ciovati, A Rossi, G Alberti
Journal of strength and conditioning research 36 (3), 813-819, 2022
182022
Relationship between external and internal workloads in elite soccer players: comparison between rate of perceived exertion and training load
A Rossi, E Perri, L Pappalardo, P Cintia, FM Iaia
Applied Sciences 9 (23), 5174, 2019
172019
Acute effects of kinesio taping on a 6 s maximal cycling sprint performance
A Trecroci, D Formenti, A Rossi, F Esposito, G Alberti
Research in Sports Medicine 25 (1), 48-57, 2017
162017
Is the maximum value in the region of interest a reliable indicator of skin temperature?
D Formenti, N Ludwig, A Rossi, A Trecroci, G Alberti, M Gargano, A Merla, ...
Infrared Physics and Technology 94, 299-304, 2018
132018
Relationship between cognitive functions and sport-specific physical performance in youth volleyball players
A Trecroci, M Duca, L Cavaggioni, A Rossi, R Scurati, S Longo, G Merati, ...
Brain Sciences 11 (2), 227, 2021
122021
Who Is Going to Get Hurt? Predicting Injuries in Professional Soccer.
A Rossi, L Pappalardo, P Cintia, J Fernández, MF Iaia, D Medina
MLSA@ PKDD/ECML, 21-30, 2017
112017
Error estimation of ultra-short heart rate variability parameters: Effect of missing data caused by motion artifacts
A Rossi, D Pedreschi, DA Clifton, D Morelli
Sensors 20 (24), 7122, 2020
102020
Multilevel Monitoring of Activity and Sleep in Healthy People
A Rossi, E Da Pozzo, D Menicagli, C Tremolanti, C Priami, A Sirbu, ...
PhysioNet, 2020
102020
A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate
D Morelli, L Bartoloni, A Rossi, DA Clifton
Physiological Measurement 40 (9), 095001, 2019
102019
Relationship Between Wellness Index and Internal Training Load in Soccer: Application of a Machine Learning Model
E Perri, C Simonelli, A Rossi, A Trecroci, G Alberti, FM Iaia
International Journal of Sports Physiology and Performance 16 (5), 695-703, 2021
92021
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