Keynote - Dealing with Bias in Machine Learning Algorithms

Generating videos by traversing image manifolds learned by GANs

Singing Voice Detection using VGGish Embeddings

Dopamine - A framework for flexible Reinforcement Learning research

Contextualized Affect Representations for Emotion Recognition

Detecting neuropsychiatric conditions with semantic verbal fluency

Non Synergistic VAE

An Evaluation Framework for Granger Matrix Extraction via Point Processes

Support Fuzzy-Set Machines - From Kernels on Fuzzy Sets to Machine Learning Applications

Towards AutoML in the presence of Drift

A deep learning approach to sign language recognition using stacked sparse autoencoders

Real Non-Volume Preserving Voice Conversion

Adversarial Attacks on Variational Autoencoders

Detecting higher order variable interactions - A spectral analysis approach

Using Deep Convolutional Networks for the Automatic Recognition of MacroInvertebrate in Rivers and Affluents in Panama

Predicting criminal behaviour with truncated Lévy flights using real data from Bogotá

Topological Data Analysis to identify subgroups of type-2 Diabetes Mellitus

TAct - Optimal search through activation function space

Learning How to Plan for Multi-Step Manipulation in Collaborative Robotics

Model Cards for Reporting Model Performance

Conditionally Interpretable Super Learner

Hover - A Wearable Object Identification System for Audio Augmented Reality Interactions