Characterization and Mitigation of High-Confidence Errors Through the Use of Human-In-The-Loop Methods: Domain Expert Driven Approach to Model Development

Automatic Contour Quality Assurance on CBCT scans for Locally Advanced Cervical Cancer Patients: A comparison study using Machine Learning

Characterising AI Weakness in Detecting Personal Data from Images By Crowds

An Expanded IPFM Model for Heart Rhythm Analysis: Detecting Atrial Fibrillation Using a Physiological Model

Pedestrian Detection and Tracking for Mobile Robots in Human Environments

VPN Fingerprinting: Network protocol detection inside virtual private network tunnels

Soccer Fields as Rainfall Detectors using Machine Learning: The case of Ghana

Will Machine Learning accelerate productivity growth in the United States?

Causal Fairness of Machine Learning: Bridging Individual- and Population-Level Fairness Methods

Towards Corrective Deep Imitation Learning in Data Intensive Environments: Helping robots to learn faster by leveraging human knowledge

Node Influence Prediction in Complex Networks: Towards network embedding based features

Latent Shape Editing

Design of a conversational assistant for standardized issue description in manufacturing

Predictive Machine Learning Maintenance of VRLA Batteries based Uninterruptible Power Supply Systems

FairData: A system to explore datasets as a tool to let data-centric researchers become aware of bias

Advisory System for MDO Architecture Selection in the MDO System Formulation Stage

Vessel Performance Evaluation Using A Digital Twin: A Black-box Model Approach

Integrating Predictive and Optimization Model for Intelligent Schedule Management based on Real Time ETA Information: A Concept of Machine Learning and Exact Solution in Petrochemical Loading Facility

Automated Writing Feedback

Multi-Level Fairness Framework: A Socio-Technical framework for Fairness Requirements Engineering in Machine Learning