:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Feddersen, Leif, Cleophas, Catherine
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Human-Computer Interaction
Accesso online:	https://arxiv.org/abs/2404.04070
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Algorithmic Transparency in Forecasting Support Systems
di: Feddersen, Leif
Pubblicazione: (2024)

EEG-Titans: Long-Horizon Seizure Forecasting via Dual-Branch Attention and Neural Memory
di: Pham, Tien-Dat, et al.
Pubblicazione: (2026)

Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition
di: Seifi, Sarah, et al.
Pubblicazione: (2025)

HOLE: Homological Observation of Latent Embeddings for Neural Network Interpretability
di: Athreya, Sudhanva Manjunath, et al.
Pubblicazione: (2025)

CHiQPM: Calibrated Hierarchical Interpretable Image Classification
di: Norrenbrock, Thomas, et al.
Pubblicazione: (2025)

Uncovering Patterns of Brain Activity from EEG Data Consistently Associated with Cybersickness Using Neural Network Interpretability Maps
di: Yau, Jacqueline, et al.
Pubblicazione: (2025)

Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
di: Khalid, Adia, et al.
Pubblicazione: (2025)

Cluster-Based Random Forest Visualization and Interpretation
di: Sondag, Max, et al.
Pubblicazione: (2025)

Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
di: Rosenberger, Julian, et al.
Pubblicazione: (2025)

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
di: Chatzimparmpas, Angelos, et al.
Pubblicazione: (2020)

HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
di: Zhang, Haodong, et al.
Pubblicazione: (2026)

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
di: Salles, Isadora, et al.
Pubblicazione: (2024)

iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
di: Jiang, Xiaowei, et al.
Pubblicazione: (2024)

TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
di: Feng, Zezheng, et al.
Pubblicazione: (2024)

Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching
di: Fan, Mengchen, et al.
Pubblicazione: (2024)

Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
di: Kruschel, Sven, et al.
Pubblicazione: (2024)

CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
di: Sun, Black, et al.
Pubblicazione: (2025)

Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies
di: Deproost, Senne, et al.
Pubblicazione: (2026)

DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
di: Salmanian, Parisa, et al.
Pubblicazione: (2024)

A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning
di: Nofshin, Eura, et al.
Pubblicazione: (2024)

A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection
di: Jamalifard, Mohammadreza, et al.
Pubblicazione: (2026)

Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models
di: Širca, Urban, et al.
Pubblicazione: (2026)

Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders
di: Lehn-Schiøler, William, et al.
Pubblicazione: (2026)

Intrinsic User-Centric Interpretability through Global Mixture of Experts
di: Swamy, Vinitra, et al.
Pubblicazione: (2024)

INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
di: Kundu, Soumitra, et al.
Pubblicazione: (2024)

Design Requirements for Human-Centered Graph Neural Network Explanations
di: Habibi, Pantea, et al.
Pubblicazione: (2024)

Story Ribbons: Reimagining Storyline Visualizations with Large Language Models
di: Yeh, Catherine, et al.
Pubblicazione: (2025)

Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
di: Sharma, Anupam, et al.
Pubblicazione: (2026)

A Reproducible Framework for Neural Topic Modeling in Focus Group Analysis
di: Arfaoui, Heger, et al.
Pubblicazione: (2025)

Empathetic Conversational Agents: Utilizing Neural and Physiological Signals for Enhanced Empathetic Interactions
di: Saffaryazdi, Nastaran, et al.
Pubblicazione: (2025)

Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
di: Liu, Zipeng, et al.
Pubblicazione: (2021)

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning
di: Shen, Jiangrong, et al.
Pubblicazione: (2025)

Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models
di: Kruschel, Sven, et al.
Pubblicazione: (2024)

Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network
di: Jahin, Md Abrar, et al.
Pubblicazione: (2024)

KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts
di: Coscia, Adam, et al.
Pubblicazione: (2024)

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
di: Yeh, Catherine, et al.
Pubblicazione: (2024)

Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
di: Santos, Thiago Freitas dos, et al.
Pubblicazione: (2024)

DINO-QPM: Adapting Visual Foundation Models for Globally Interpretable Image Classification
di: Zimmermann, Robert, et al.
Pubblicazione: (2026)

Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts
di: Jiang, Xiaowei, et al.
Pubblicazione: (2026)

Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion
di: Huang, Zhongyu, et al.
Pubblicazione: (2024)