Top-Down Networks: A coarse-to-fine reimagination of CNNs

Exploring normalizing flow for anomaly detection

Attention-Aware Age-Agnostic Visual Place Recognition

Addressing Illumination-Based Domain Shifts in Deep Learning: A Physics-Based Approach

Fuzzy Face Clustering For Forensic Investigations

Automated land use classification: Supervised segmentation of road structures on aerial images using shape regression

Recognizing and Handling Negations in Machine Learning

Time series forecast in non-stationary environment with occurrence of economic bubbles: Bitcoin Price prediction

Action Selection Policies for Walking Monte Carlo Tree Search

Rituals of Leaving: Predictive Modelling of Leaving Behaviour in Conversation

Outlier detection in multivariate time series: Exploiting reconstructions from random projections

Model-based rare category detection for temporal data

Quantitative evaluation of Generative Adversarial Networks and improved training techniques

Active Learning for Overlay Prediction in Semi-conductor Manufacturing

Activating frequencies: Exploring non-linearities in the Fourier domain

Predicting voluntary employee turnover using core employee data