Automated Multimodal Stress Detection in Computer Office Workspace

In the Automated Office

Automated Word Stress Detection in Russian

In this study we address the problem of automated word stress detection in Russian using character level models and no partspeech-taggers. We use a simple bidirectional RNN with LSTM nodes and achieve the accuracy of 90% or higher. We experiment with two training datasets and show that using the data from an annotated corpus is much more efficient than using a dictionary, since it allows us to ...

Challenges in Automated Deception Detection in Computer-Mediated Communication

Deception detection remains novel, challenging, and important in natural language processing, machine learning, and the broader LIS community. Computational tools capable of alerting users to potentially deceptive content in computer-mediated messages are invaluable for supporting undisrupted, computer-mediated communication, information seeking, credibility assessment and decision making. The ...

Towards a Multimodal Human-Computer Interface to Analyze Intrusion Detection in Computer Networks

Network intrusion detection has been generally dealt with sophisticated software and statistical analysis, although sometimes it has to be done by administrators, either by detecting the intruders in real time or by revising network logs, making this a tedious and time-consuming labor. To support this, intrusion detection analysis has been carried out using visual, auditory or tactile sensory i...

Multimodal Human Computer Interaction