Logs to the Rescue: Creating meaningful representations from log files for Anomaly Detection

Data Model for Computer Vision Explainability, Fairness, and Robustness

A System for Model Diagnosis centered around Human Computation

Passive screen-camera communication

Compressing code generation language models on CPUs: Using Group Lasso pruning and post-training quantization

Distil-CodeGPT, Distilling Code-Generation Models for Local Use

Leveraging Efficient Transformer Quantization for CodeGPT: A Post-Training Analysis

CodeGPT on XTC: Compressing a CodeGPT Model Using Hybrid Layer Reduction and Extreme Quantisation through Knowledge Distillation

Analyzing the Criticality of NPM Packages Through a Time-Dependent Dependency Graph

Analyzing the effect of introducing time as a component in Python dependency graphs

Analyzing the Criticality of Apache Maven Packages Through a Temporal Dependency Graph

Using a Time Dependency Graph to find the most widely used Debian package

Implications on Learning Outcomes and Eye-strain of using Telepresence Robots as a new Distance Learning Medium

An Epistemic and Psychological Comparison Between Holograms and Zoom as Educational Media

Effects of a holographic teacher projection on the engagement with the learning materials

Studying the Effects of Educative Holographic Projections in VR Environment

User/Query-wise Metric Bounding in Learning to Rank