In this paper, we examine to what extent the employment of machine learning technique contributes to better detection and prediction of corporate (i.e., firm-level) accounting fraud. The obtained ...

LINEの機械学習の専門組織である「Machine Learning室」に所属する機械学習エンジニア、プロジェクトマネージャー、プロダクトマネージャーが、自らの仕事内容を紹介するイベントにおいて、Machine Learning Solution1チームのマネージャー久保慶伍氏とMachine Learning ...

Advances in very-large-scale integration (VLSI) design have increasingly relied on machine learning (ML) techniques to optimise performance, reduce manufacturing turnaround times and ensure high ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.