4 citations · 11 across the 6 of their papers we have counts for
6 papers
On the Assessment of Sensitivity of Autonomous Vehicle Perception
Apostol Vassilev, Munawar Hasan, Edward Griffor +4
The viability of automated driving is heavily dependent on the performance of perception systems to provide real-time accurate and reliable information for robust decision-making a…
Meta learning with language models: Challenges and opportunities in the classification of imbalanced text
Apostol Vassilev, Honglan Jin, Munawar Hasan
Detecting out of policy speech (OOPS) content is important but difficult. While machine learning is a powerful tool to tackle this challenging task, it is hard to break the perform…
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Irene Solaiman, Zeerak Talat, William Agnew +28
Generative AI systems across modalities, ranging from text (including code), image, audio, and video, have broad social impacts, but there is no official standard for means of eval…
Can you tell? SSNet -- a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis
Apostol Vassilev, Munawar Hasan, Honglan Jin
When people try to understand nuanced language they typically process multiple input sensor modalities to complete this cognitive task. It turns out the human brain has even a spec…
BowTie - A deep learning feedforward neural network for sentiment analysis
Apostol Vassilev
How to model and encode the semantics of human-written text and select the type of neural network to process it are not settled issues in sentiment analysis. Accuracy and transfera…
RTL-PSC: Automated Power Side-Channel Leakage Assessment at Register-Transfer Level
Miao, He, Jungmin Park +4
Power side-channel attacks (SCAs) have become a major concern to the security community due to their non-invasive feature, low-cost, and effectiveness in extracting secret informat…