Aaro Toomela

27 papers B 2C 7Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
PointExplainer: Towards transparent Parkinson's disease diagnosis.
Inf. Fusion
Xuechao Wang, Sven Nõmm, Junqing Huang, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky
2025 — conf
Comparative Evaluation of XAI Techniques for CNN Interpretation in Parkinson's Drawing Test Classification.
CENTERIS/ProjMAN/HCist
Oluwandabira O. Alawode, Elli Valla, Aaro Toomela, Sven Nõmm
2025 J jnl
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis.
CoRR
Xuechao Wang, Sven Nomm, Junqing Huang, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky
2025 J jnl
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning: Can smartphones reveal when we are tired?
Cogn. Technol. Work.
Elli Valla, Lilian Väli, Sven Nõmm, Aaro Toomela
2024 J jnl
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease.
Biomed. Signal Process. Control.
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela, Michael V. Ruzhansky
2024 C conf
Enhancing Cerebral Palsy Gait Analysis with 3D Computer Vision: A Dual-Camera Approach.
CoDIT
Elli Valla, Gert Kanter, Sven Nõmm, Anton Osvald Kuusk, Peeter Maran, Karl Mihkel Seenmaa, Killu Mägi, Aaro Toomela
2024 J jnl
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.
Comput. Methods Programs Biomed.
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky
2023 B conf
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics.
CBMS
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky
2023 J jnl
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics.
CoRR
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nomm, Michael V. Ruzhansky
2023 C conf
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease.
ICMLA
Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2023 J jnl
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.
CoRR
Xuechao Wang, Junqing Huang, Sven Nomm, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky
2023 J jnl
Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests.
Int. J. Medical Informatics
Elli Valla, Ain-Joonas Toose, Sven Nõmm, Aaro Toomela
2022 J jnl
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics.
Biomed. Signal Process. Control.
Elli Valla, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2021 — conf
CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics.
ACIIDS (Companion)
Sergei Zarembo, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2021 J jnl
Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test.
Vietnam. J. Comput. Sci.
Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba
2020 — conf
Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers.
ACIIDS (1)
Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba
2019 C conf
Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling.
CW
Sven Nomm, Tanel Kossas, Aaro Toomela, Kadri Medijainen, Pille Taba
2018 C conf
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics.
ICMLA
Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba
2018 B conf
Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers.
SMC
Anna Krajushkina, Sven Nomm, Aaro Toomela, Kadri Medijainen, Eveli Tamm, Martti Vaske, Dan Uvarov, Hedi Kahar, Marita Nugis, Pille Taba
2018 C conf
Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling.
ICARCV
Sven Nomm, Ilja Masharov, Aaro Toomela, Kadri Medijainen, Pille Taba
2017 — conf
Towards Modeling of Finger Motions in Virtual Reality Environment.
AVR (1)
Sven Nõmm, Aaro Toomela, Jaroslav Kulikov
2017 — conf
Towards the Notion of Average Trajectory of the Repeating Motion of Human Limbs.
ACIIDS (2)
Sven Nõmm, Aaro Toomela, Ilia Gaichenja
2016 C conf
Quantitative analysis in the digital Luria's alternating series tests.
ICARCV
Sven Nomm, Aaro Toomela, Julia Kozhenkina, Toomas Toomsoo
2016 C conf
Recognition and Analysis of the Contours Drawn during the Poppelreuter's Test.
ICMLA
Sven Nomm, Konstantin Bardos, Ilja Masarov, Julia Kozhenkina, Aaro Toomela, Toomas Toomsoo
2016 — ch.
The Ways of Scientific Anticipation: From Guesses to Probabilities and from There to Certainty.
Anticipation Across Disciplines
Aaro Toomela
2014 — conf
Towards Establishing Relationships between Human Arousal Level and Motion Mass.
ICONIP (1)
Sven Nõmm, Tiit Kõnnusaar, Aaro Toomela
2013 — conf
Alternative Approach to Model Changes of Human Motor Functions.
EMS
Sven Nomm, Aaro Toomela, Jevgeni Borushko