IEEE

Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures

Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...
marktechpost

How to Build an Explainable AI Analysis Pipeline Using SHAP-IQ to Understand Feature Importance, Interaction Effects, and Model Decision Breakdown

In this tutorial, we build an advanced explainable AI analysis pipeline using SHAP-IQ to understand both feature importance and interaction effects directly inside our Python environment. We load a ...
IEEE

A Novel Human-in-the-Loop Multimodal Intention Fusion Method for Human–Robot Interaction

Abstract: Understanding human intention plays a crucial role in the research of human-robot interaction (HRI) for service robots. Although multimodal sensing methods have shown promising results in ...
marktechpost

[Tutorial] Building a Visual Document Retrieval Pipeline with ColPali and Late Interaction Scoring

In this tutorial, we build an end-to-end visual document retrieval pipeline using ColPali. We focus on making the setup robust by resolving common dependency conflicts and ensuring the environment ...