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GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 9 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiļ...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
139
Voted
SPIESR
2003
165views Database» more  SPIESR 2003»
15 years 3 months ago
Analysis of musical expression in audio signals
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
Simon Dixon
148
Voted
CORR
2010
Springer
175views Education» more  CORR 2010»
15 years 2 months ago
Detecting Security threats in the Router using Computational Intelligence
Information security is an issue of global concern. As the Internet is delivering great convenience and benefits to the modern society, the rapidly increasing connectivity and acc...
J. Visumathi, K. L. Shunmuganathan
129
Voted
COLT
2003
Springer
15 years 7 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
144
Voted
ICMLA
2010
15 years 16 days ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...