Detecting Dish Types in Picnic Deliveries

Comparing results of an AI neural network method with a sparse optimization method for frequency-band reconstruction of seismic images

Declarative Image Generation

Stabilizing convection-dominated flow problems using neural networks based on flux-limiting techniques

Utilizing Lingual Structures to Enhance Transformer Performance in Source Code Completions

Implementing beam shape variations in a deep learning based proton dose calculation algorithm

Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions

Driveability predictions in vibratory pile driving: A comparison of various machine learning approaches and the traditional model

Optimize the indescribable: A Look at the Unification between Machine Learning and Optimization

Opponent Modeling in Automated Negotiation Applied to P2P Energy Trading

Predicting antibiotic exposure in IC patients

Early Stage Fouling Effects Prediction for Yacht Design: A grey-box model approach using operational voyage data

A Machine Learning approach for 3D load feasibility prediction

Profit optimized machine learning aided electricity storage; Comparison between privately owned and neighborhood shared: An auto-machine learning solution

Projector Systems to Control the Material Perception of an Object

Decreasing Model Stealing Querying for Black Box Adversarial Attacks

Who Cares About Fairness: How Background Influences the Way Practitioners Consider Machine Learning Harms

Black-box Adversarial Attacks using Substitute models: Effects of Data Distributions on Sample Transferability

Can Invariant Risk Minimization resist the temptation of learning spurious correlations?

Comparison of the usage of Fairness Toolkits amongst practitioners:AIF360 and Fairlearn