8 citations · 22 across the 11 of their papers we have counts for
11 papers
Structured Gaussian Processes for Uncertainty-Aware Classification of High-Dimensional, Small-Sampled Omics Data
Yue Zhang, Nandini Amit Gadhia, Georgios Karagiannis +1
Classifying heterogeneous omics data remains a fundamental challenge in computational biology, particularly in high-dimensional, small-sample settings where nonlinear interactions…
A novel approach to differential expression analysis of co-occurrence networks for small-sampled microbiome data
Nandini Gadhia, Michalis Smyrnakis, Po-Yu Liu +6
Graph-based machine learning methods are useful tools in the identification and prediction of variation in genetic data. In particular, the comprehension of phenotypic effects at t…
Path Planning and Task Assignment for Data Retrieval from Wireless Sensor Nodes Relying on Game-Theoretic Learning
Sotiris Papatheodorou, Michalis Smyrnakis, Tembine Hamidou +1
The energy-efficient trip allocation of mobile robots employing differential drives for data retrieval from stationary sensor locations is the scope of this article. Given a team o…
Consensus over evolutionary graphs
Michalis Smyrnakis, Nikolaos M. Freris, Hamidou Tembine
We establish average consensus on graphs with dynamic topologies prescribed by evolutionary games among strategic agents. Each agent possesses a private reward function and dynamic…
Empathy in Bimatrix Games
Brian Powers, Michalis Smyrnakis, Hamidou Tembine
Although the definition of what empathetic preferences exactly are is still evolving, there is a general consensus in the psychology, science and engineering communities that the e…
Fictitious play for cooperative action selection in robot teams
Michalis Smyrnakis, Sandor M. Veres
A game theoretic distributed decision making approach is presented for the problem of control effort allocation in a robotic team based on a novel variant of fictitious play. The p…