Instead of relying completely on machine intelligence in anomaly event analysis and correlation, in this paper, we take one step back and investigate the possibility of a human-int...
Soon Tee Teoh, Kwan-Liu Ma, Shyhtsun Felix Wu, Dan...
The majority of work in the field of evolutionary robotics concerns itself with evolving control strategies for human designed or bio-mimicked robot morphologies. However, there ...
Recent years have seen dramatic and sustained growth in the amount of genomic data being generated, including in late 1999 the first complete sequence of a human chromosome. The c...
Kevin Bryson, Michael Luck, Mike Joy, David T. Jon...
This Paper presents a platform to mine epileptiform activity from Electroencephalograms (EEG) by combining the methodologies of Deterministic Finite Automata (DFA) and Knowledge Di...
The theoretical guarantees provided by voting have distinguished it as a prominent method of preference aggregation among autonomous agents. However, unlike humans, agents usually ...