Martin Takáč
About
Martin Takáč has authored 66 papers that have received a total of 1.7k indexed citations.
This includes 38 papers in Artificial Intelligence, 31 papers in Computational Mechanics and 8 papers in Cognitive Neuroscience. The topics of these papers are Stochastic Gradient Optimization Techniques (32 papers), Sparse and Compressive Sensing Techniques (31 papers) and Structural Health Monitoring Techniques (6 papers). Martin Takáč is often cited by papers focused on Stochastic Gradient Optimization Techniques (32 papers), Sparse and Compressive Sensing Techniques (31 papers) and Structural Health Monitoring Techniques (6 papers) and collaborates with scholars based in United States, New Zealand and United Arab Emirates. Martin Takáč's co-authors include Peter Richtárik, Shamim N. Pakzad, Alistair Knott, Lawrence Snyder and Chenxin Ma and has published in prestigious journals such as European Journal of Operational Research, Cognition and IEEE Access
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