E-LIB Suche - Ergebnisse für: Macaš, Martin

1

Support Vector Machines for Control of Multimodal Processes:

, In: Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021); Lecture Notes in Networks and Systems,

Macas, Martin ; Nguyen, Diem H. ; Panuskova, Charlotte - p. 384-393 , 2022

Link: https://doi.org/10.1007/..

2

Remote Physical Therapy: Requirements for a Single RGB Came..:

, In: 2021 International Conference on Applied Electronics (AE),

Adolf, Jindrich ; Dolezal, Jaromir ; Macas, Martin. - p. 1-4 , 2021

Link: https://doi.org/10.23919..

3

Ensemble methods in combination with compartment models for..:

Saiti, Kyriaki ; Macaš, Martin ; Lhotská, Lenka..
Computer Methods and Programs in Biomedicine. 196 (2020) - p. 105628 , 2020

Link: https://doi.org/10.1016/..

4

Impact of forecasting errors on microgrid optimal power man..:

, In: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe),

Macas, Martin ; Orlando, Sergio ; Costea, Stefan... - p. 1-6 , 2020

Link: https://doi.org/10.1109/..

5

A Combined-Predictor Approach to Glycaemia Prediction for T..:

, In: IFMBE Proceedings; World Congress on Medical Physics and Biomedical Engineering 2018,

Saiti, Kyriaki ; Macaš, Martin ; Štechová, Kateřina.. - p. 753-756 , 2018

Link: https://doi.org/10.1007/..

6

The role of data sample size and dimensionality in neural n..:

Macas, Martin ; Moretti, Fabio ; Fonti, Alessandro...
Energy and Buildings. 111 (2016) - p. 299-310 , 2016

Link: https://doi.org/10.1016/..

7

Innovative default prediction approach:

Bemš, Július ; Starý, Oldřich ; Macaš, Martin..
Expert Systems with Applications. 42 (2015) 17-18 - p. 6277-6285 , 2015

Link: https://doi.org/10.1016/..

8

Towards biological plausibility of electronic noses: A spik..:

Sarkar, Sankho Turjo ; Bhondekar, Amol P. ; Macaš, Martin...
Neural Networks. 71 (2015) - p. 142-149 , 2015

Link: https://doi.org/10.1016/..

9

Binary social impact theory based optimization and its appl..:

Macaš, Martin ; Bhondekar, Amol P. ; Kumar, Ritesh...
Neurocomputing. 132 (2014) - p. 85-96 , 2014

Link: https://doi.org/10.1016/..

10

Wrapper Feature Selection Significantly Improves Nonlinear ..:

, In: 2013 IEEE International Conference on Systems, Man, and Cybernetics,

Macas, Martin ; Lhotska, Lenka - p. 1171-1174 , 2013

Link: https://doi.org/10.1109/..

11

Wrapper feature selection for small sample size data driven..:

Macaš, Martin ; Lhotská, Lenka ; Bakstein, Eduard...
Computer Methods and Programs in Biomedicine. 108 (2012) 1 - p. 138-150 , 2012

Link: https://doi.org/10.1016/..

12

Remote Physical Therapy: Requirements for a Single RGB Came..:

Adolf, Jindřich ; Doležal, Jaromír ; Macas, Martin.
2021 International Conference on Applied Electronics: Pilsen, 7th – 8th September 2021, Czech Republic, p. 9-12.. , 2021

Link: http://hdl.handle.net/11..

13

Path Planning for Formations of Mobile Robots using PSO Tec..:

Macas, Martin
https://openresearchlibrary.org/viewer/0b897065-ed03-4f2c-bf81-4293418789f6. , 2009

Link: https://openresearchlibr..

14

Semi-Automated Sleep EEG Scoring with Active Learning and H..:

Martin Macaš ; Nela Grimová ; Václav Gerla.
https://www.mdpi.com/2504-3900/31/1/46. , 2019

Link: https://doi.org/10.3390/..

15

Query-By-Committee Framework Used for Semi-Automatic Sleep ..:

Nela Grimova ; Martin Macas
https://www.mdpi.com/2504-3900/31/1/80. , 2019

Link: https://doi.org/10.3390/..