Where are we so far? understanding data storytelling tools from the perspective of human-ai collaboration
Data storytelling is powerful for communicating data insights, but it requires diverse skills
and considerable effort from human creators. Recent research has widely explored the …
and considerable effort from human creators. Recent research has widely explored the …
From shapley values to generalized additive models and back
S Bordt, U von Luxburg - International Conference on …, 2023 - proceedings.mlr.press
In explainable machine learning, local post-hoc explanation algorithms and inherently
interpretable models are often seen as competing approaches. This work offers a partial …
interpretable models are often seen as competing approaches. This work offers a partial …
Gam coach: Towards interactive and user-centered algorithmic recourse
Machine learning (ML) recourse techniques are increasingly used in high-stakes domains,
providing end users with actions to alter ML predictions, but they assume ML developers …
providing end users with actions to alter ML predictions, but they assume ML developers …
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
Computational notebooks, such as Jupyter Notebook, have become data scientists' de facto
programming environments. Many visualization researchers and practitioners have …
programming environments. Many visualization researchers and practitioners have …
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Prompt-based interfaces for Large Language Models (LLMs) have made prototyping and
building AI-powered applications easier than ever before. However, identifying potential …
building AI-powered applications easier than ever before. However, identifying potential …
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations
Explanations in interactive machine-learning systems facilitate debugging and improving
prediction models. However, the effectiveness of various global model-centric and data …
prediction models. However, the effectiveness of various global model-centric and data …
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting
Electric load forecasting is an indispensable component of electric power system planning
and management. Inaccurate load forecasting may lead to the threat of outages or a waste …
and management. Inaccurate load forecasting may lead to the threat of outages or a waste …
Curve your enthusiasm: concurvity regularization in differentiable generalized additive models
Abstract Generalized Additive Models (GAMs) have recently experienced a resurgence in
popularity due to their interpretability, which arises from expressing the target value as a …
popularity due to their interpretability, which arises from expressing the target value as a …
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform
In the realm of interactive machine-learning systems, the provision of explanations serves as
a vital aid in the processes of debugging and enhancing prediction models. However, the …
a vital aid in the processes of debugging and enhancing prediction models. However, the …
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening
Data entry constitutes a fundamental component of the machine learning pipeline, yet it
frequently results in the introduction of labelling errors. When a model has been trained on a …
frequently results in the introduction of labelling errors. When a model has been trained on a …