Ales Holobar - RankMe

48 papers B 1Misc 2Journal 24Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tensor-based higher-order multivariate singular spectrum analysis and applications to multichannel biomedical signal analysis. Signal Process. Le Trung Thanh, Karim Abed-Meraim, Nguyen Linh Trung, Philippe Ravier, Olivier Buttelli, Ales Holobar
2025	—	`conf`	Circulant Determinant-Based Permutation Entropy for sEMG Signal Processing. EUSIPCO Meryem Jabloun, Ales Holobar, N. Murks, Matej Kramberger, Philippe Ravier, Olivier Buttelli
2024	Misc	`conf`	Joint INDSCAL Decomposition Meets Blind Source Separation. ICASSP Le Trung Thanh, Karim Abed-Meraim, Philippe Ravier, Olivier Buttelli, Ales Holobar
2024	J	`jnl`	Tensor decomposition meets blind source separation. Signal Process. Le Trung Thanh, Karim Abed-Meraim, Philippe Ravier, Olivier Buttelli, Ales Holobar
2024	Misc	`conf`	Tensorial Convolutive Blind Source Separation. ICASSP Le Trung Thanh, Karim Abed-Meraim, Philippe Ravier, Olivier Buttelli, Ales Holobar
2023	J	`jnl`	Motor Unit Identification in the M Waves Recorded by High-Density Electromyogram. IEEE Trans. Biomed. Eng. Milos Kalc, Jakob Skarabot, Matjaz Divjak, Filip Urh, Matej Kramberger, Matjaz Vogrin, Ales Holobar
2021	J	`jnl`	Association between the Degree of Pre-Synaptic Dopaminergic Pathway Degeneration and Motor Unit Firing Behavior in Parkinson's Disease Patients. Sensors Yuichi Nishikawa, Kohei Watanabe, Ales Holobar, Tetsuya Takahashi, Noriaki Maeda, Hirofumi Maruyama, Shinobu Tanaka, Allison S. Hyngstrom
2021	J	`jnl`	Control of Spinal Motoneurons by Feedback From a Non-Invasive Real-Time Interface. IEEE Trans. Biomed. Eng. Deren Y. Barsakcioglu, Mario Bräcklein, Ales Holobar, Dario Farina
2021	J	`jnl`	Deep Learning for Robust Decomposition of High-Density Surface EMG Signals. IEEE Trans. Biomed. Eng. Alexander Kenneth Clarke, Seyed Farokh Atashzar, Alessandro Del Vecchio, Deren Y. Barsakcioglu, Silvia Muceli, Paul Bentley, Filip Urh, Ales Holobar, Dario Farina
2021	J	`jnl`	Non-Negative Matrix Factorization of Simulated High Density Surface Electromyograms Reflects Both Muscle Excitation and Muscle Shortening. IEEE Access Martin Savc, Ales Holobar
2021	J	`jnl`	Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding. IEEE Signal Process. Mag. Ales Holobar, Dario Farina
2021	J	`jnl`	On the Prediction of Motor Unit Filter Changes in Blind Source Separation of High-Density Surface Electromyograms During Dynamic Muscle Contractions. IEEE Access Matej Kramberger, Ales Holobar
2021	J	`jnl`	On the Reuse of Motor Unit Filters in High Density Surface Electromyograms Recorded at Different Contraction Levels. IEEE Access Aljaz Francic, Ales Holobar
2020	—	`conf`	Motor unit filter prelearning strategies for decomposition of compound muscle action potentials in high-density surface electromyograms. EMBC Ales Holobar, Aljaz Francic
2020	—	`conf`	On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG. EMBC Filip Urh, Damjan Strnad, Alex Clarke, Dario Farina, Ales Holobar
2020	J	`jnl`	Public database for validation of follicle detection algorithms on 3D ultrasound images of ovaries. Comput. Methods Programs Biomed. Bozidar Potocnik, Jurij Munda, Milan Reljic, Ksenija Rakic, Jure Knez, Veljko Vlaisavljevic, Gasper Sedej, Boris Cigale, Ales Holobar, Damjan Zazula
2019	J	`jnl`	Non-invasive Decoding of the Motoneurons: A Guided Source Separation Method Based on Convolution Kernel Compensation With Clustered Initial Points. Frontiers Comput. Neurosci. MohammadReza Mohebbian, Hamid R. Marateb, Saeed Karimimehr, Miquel Angel Mañanas, Jernej Kranjec, Ales Holobar
2018	—	`conf`	On the Impact of Muscle Shortening on Non-Negative Matrix Factorization of Dynamic Surface Electromyograms. EMBC M. Savc, Vojko Glaser, Ales Holobar
2017	J	`jnl`	A new optical flow model for motor unit conduction velocity estimation in multichannel surface EMG. Comput. Biol. Medicine Bozidar Potocnik, Ales Holobar
2017	—	`conf`	Comparison of non-negative matrix factorization and convolution kernel compensation in surface electromyograms of forearm muscles. CISP-BMEI M. Savc, Vojko Glaser, Ales Holobar, Imre Cikajlo, Zlatko Matjacic
2017	—	`conf`	Impact of motor unit action potential components on the motor unit identification from dynamic high-density surface electromyograms. NER Vojko Glaser, Ales Holobar
2017	J	`jnl`	New Perspectives for Computer-Aided Discrimination of Parkinson's Disease and Essential Tremor. Complex. Petra Povalej Brzan, Juan Alvaro Gallego, Juan Pablo Romero, Vojko Glaser, Eduardo Rocon, Julián Benito-León, F. Bermejo-Pareja, I. J. Posada, Ales Holobar
2017	—	`conf`	On the impact of spike segmentation on motor unit identification in dynamic surface electromyograms. EMBC Vojko Glaser, Ales Holobar
2017	—	`conf`	Simulations of high-density surface electromyograms in dynamic muscle contractions. EMBC Vojko Glaser, Dario Farina, Ales Holobar
2016	J	`jnl`	Characterization of Human Motor Units From Surface EMG Decomposition. Proc. IEEE Dario Farina, Ales Holobar
2015	—	`conf`	Classification of motor unit activity following targeted muscle reinnervation. NER Tamas Kapelner, Ning Jiang, Ivan Vujaklija, Oskar C. Aszmann, Ales Holobar, Dario Farina
2015	J	`jnl`	Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition. IEEE Trans. Biomed. Eng. Xiaoyan Li, Ales Holobar, Marco Gazzoni, Roberto Merletti, William Zev Rymer, Ping Zhou
2015	J	`jnl`	Human-Machine Interfacing by Decoding the Surface Electromyogram [Life Sciences]. IEEE Signal Process. Mag. Dario Farina, Ales Holobar
2013	—	`conf`	Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation. BIOSIGNALS Sebastijan Sprager, Ales Holobar, Damjan Zazula
2013	—	`conf`	Motor Unit Properties and Underlying Determinants in Pathological Tremor. NEUROTECHNIX Juan Alvaro Gallego, Jakob Lund Dideriksen, Ales Holobar, Juan Pablo Romero, José Luis Pons, Eduardo Rocon, Dario Farina
2013	—	`conf`	On the Impact of Pathological Tremor Intensity on Noninvasive Characterization of Motor Unit Discharge Properties. NEUROTECHNIX Petra Povalej Brzan, Vojko Glaser, Simon Zelic, Juan Alvaro Gallego, Juan Pablo Romero Muñoz, Ales Holobar
2013	—	`conf`	Surface EMG pre-processing techniques for the detection of common input to motor neuron populations. BMEI Rok Istenic, Francesco Negro, Ales Holobar, Damjan Zazula, Dario Farina
2011	—	`conf`	A modelling study on transmission of the central oscillator in tremor by a motor neuron pool. EMBC Juan Alvaro Gallego, Jakob Lund Dideriksen, Dario Farina, Eduardo Rocon, Ales Holobar, José Luis Pons
2011	—	`conf`	Assessment of artefact suppression by ICA and spatial filtering on reduced sets of EEG signals. EMBC Matjaz Divjak, Damjan Zazula, Ales Holobar
2011	—	`conf`	Noninvasive analysis of motor unit behavior in pathological tremor. EMBC Ales Holobar, Vojko Glaser, Juan Alvaro Gallego, Jakob Lund Dideriksen, Dario Farina
2007	J	`jnl`	A distributed virtual reality-based system for neonatal decision-making training. Comput. Appl. Eng. Educ. Ales Holobar, Matjaz Divjak, Iztok Prelog, Dean Korosec, Damjan Zazula
2007	—	`conf`	Gradient Convolution Kernel Compensation Applied to Surface Electromyograms. ICA Ales Holobar, Damjan Zazula
2007	J	`jnl`	Multichannel Blind Source Separation Using Convolution Kernel Compensation. IEEE Trans. Signal Process. Ales Holobar, Damjan Zazula
2007	J	`jnl`	Training scenario prototyping for VR-based simulation of neonatal decision-making. Comput. Appl. Eng. Educ. Ales Holobar, Matjaz Divjak, Dean Korosec, Damjan Zazula
2006	—	`conf`	Convolution Kernel Compensation Applied to 1D and 2D Blind Source Separation. SIGMAP Damjan Zazula, Ales Holobar, Matjaz Divjak
2006	J	`jnl`	Distributed Jacobi Joint Diagonalization on Clusters of Personal Computers. Int. J. Parallel Program. Ales Holobar, Milan Ojstersek, Damjan Zazula
2005	J	`jnl`	An approach to surface EMG decomposition based on higher-order cumulants. Comput. Methods Programs Biomed. Damjan Zazula, Ales Holobar
2005	J	`jnl`	Building interactive virtual environments for simulated training in medicine using VRML and Java/JavaScript. Comput. Methods Programs Biomed. D. Korocsec, Ales Holobar, Matjaz Divjak, Damjan Zazula
2004	—	`conf`	A novel approach to convolutive blind separation of close-to-orthogonal pulse sources using second-order statistics. EUSIPCO Ales Holobar, Damjan Zazula
2004	—	`conf`	Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms. ICA Ales Holobar, Damjan Zazula
2003	J	`jnl`	Quest for effective use of computer technology in education: From natural sciences to medicine. Comput. Appl. Eng. Educ. Zvonko Fazarinc, Sasa Divjak, Dean Korosec, Ales Holobar, Matjaz Divjak, Damjan Zazula
2002	B	`conf`	Dynamic VRML for Simulated Training in Medicine. CBMS Dean Korosec, Ales Holobar, Matjaz Divjak, Damjan Zazula
2002	—	`conf`	Single autoterms selection for blind source separation in time-frequency plane. EUSIPCO Ales Holobar, Cédric Févotte, Christian Doncarli, Damjan Zazula