This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
This paper presents a quantitative human performance model of making single-stroke pen gestures within certain error constraints in terms of production time. Computed from the pro...
Using a stylus on a tablet computer to acquire small targets can be challenging. In this paper we present pointing lenses ? interaction techniques that help users acquire and sele...
Gonzalo Ramos, Andy Cockburn, Ravin Balakrishnan, ...
A number of experimental studies based on domain-specific tasks have evaluated the efficiency of navigation techniques for searching multi-scale worlds. The discrepancies among th...
Emmanuel Pietriga, Caroline Appert, Michel Beaudou...