Explainable Feature

Explainable features are designed to enhance the transparency and interpretability of machine learning models, particularly in complex domains like image analysis and time series classification. Current research focuses on developing methods to extract and utilize these features, employing techniques such as graph-based representations, convolutional neural networks with attention mechanisms, and model-based approaches that emphasize interpretable parameters. This work is crucial for building trust in AI systems, particularly in high-stakes applications such as medical diagnosis and autonomous driving, where understanding the reasoning behind model predictions is paramount. The ultimate goal is to create models that are both accurate and readily understandable by human experts.

Papers

October 16, 2024

Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
Yan Feng, Alexander Carballo, Kazuya Takeda
Pedestrian Behavior Multi Modal Input Explainable Feature Pedestrian Behavior Prediction Part Prototype Network

September 26, 2024

Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
Debargha Ganguly, Debayan Gupta, Vipin Chaudhary
Deep Neural Network Topological Feature Visual Concept Anomalous Data Graph Based Approach Explainable Feature

August 15, 2024

Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
Sarbojit Roy, Malik Shahid Sultan, Hernando Ombao
Classification Code Inherent Interpretability Interpretable Classifier High Dimensional Time Series Discriminative Task EEG Datasets Spectral Domain Explainable Feature

June 3, 2024

CAFO: Feature-Centric Explanation on Time Series Classification
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
Time Series Classification Feature Importance Feature Explanation Using Contrasting Concept Explainable Feature Class Relevant

February 21, 2024

Explainable Classification Techniques for Quantum Dot Device Measurements
Daniel Schug, Tyler J. Kovach, M. A. Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, J. Corrigan, M. A. Eriksson, Justyna P. Zwolak
Synthetic Data Explainable Classification Quantum Information Explainable Boosting Machine Quantum Dot Explainable Feature

December 5, 2023

Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction
Angie Nataly Melo, Carlota Salinas, Miguel Angel Sotelo
Explainable Feature Pedestrian Crossing Prediction Explainable Predictive

July 20, 2023

Identifying Interpretable Subspaces in Image Representations
Neha Kalibhat, Shweta Bhardwaj, Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Image Representation Contrastive Example Latent Subspace Explainable Feature

June 29, 2022

Private Graph Extraction via Feature Explanations
Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla
Gradient Based Model Explanation Explainable Feature Private Graph Graph Reconstruction Attack

June 27, 2022

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner
Self Supervised Contrastive Learning Annotation Rather Lung Nodule Self Explaining Nodule Attribute Explainable Feature

June 19, 2022

FRAPPE: $\underline{\text{F}}$ast $\underline{\text{Ra}}$nk $\underline{\text{App}}$roximation with $\underline{\text{E}}$xplainable Features for Tensors
William Shiao, Evangelos E. Papalexakis
Tensor Decomposition Tensor Type Calculus Input Tensor Explainable Feature PARAFAC2 Decomposition Method

March 14, 2022

Drift Reduced Navigation with Deep Explainable Features
Mohd Omama, Sundar Sripada Venugopalaswamy Sriraman, Sandeep Chinchali, Arun Kumar Singh, K. Madhava Krishna
LiDAR Point Cloud Simultaneous Localization and Mapping Autonomous Driving System Drift Free Explainable Feature State Estimation Drift Mitigation

January 28, 2022

Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features
William Franz Lamberti
Convolutional Neural Network Classification Code Explainable AI Interpretable Feature XAI Model Explainable Feature Small Number