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Local Decision Pitfalls in Interactive Machine Learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-94-010-1834-0_8openalex-snapshot
Judgment under Uncertainty: Heuristics and Biases
inferredcites →https://doi.org/10.1007/s00778-019-00552-1openalex-snapshot
Snorkel: rapid training data creation with weak supervision.
inferredcites →https://doi.org/10.1016/j.artint.2013.08.003openalex-snapshot
End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression
inferredcites →https://doi.org/10.1016/j.ijhcs.2009.03.004openalex-snapshot
Interacting meaningfully with machine learning systems: Three experiments
inferredcites →https://doi.org/10.1016/j.jml.2012.11.001openalex-snapshot
Random effects structure for confirmatory hypothesis testing: Keep it maximal
inferredcites →https://doi.org/10.1016/j.visinf.2017.01.006openalex-snapshot
Towards better analysis of machine learning models: A visual analytics perspective
inferredcites →https://doi.org/10.1080/01621459.1951.10500769openalex-snapshot
The Kolmogorov-Smirnov Test for Goodness of Fit
inferredcites →https://doi.org/10.1093/biomet/70.1.163openalex-snapshot
Information Gain and a General Measure of Correlation
inferredcites →https://doi.org/10.1109/tvcg.2012.277openalex-snapshot
Visual Classifier Training for Text Document Retrieval
inferredcites →https://doi.org/10.1109/tvcg.2013.212openalex-snapshot
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1109/tvcg.2014.2346482openalex-snapshot
INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data
inferredcites →https://doi.org/10.1109/tvcg.2014.2346660openalex-snapshot
Visual Methods for Analyzing Probabilistic Classification Data
inferredcites →https://doi.org/10.1109/tvcg.2016.2598828openalex-snapshot
Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
inferredcites →https://doi.org/10.1109/vast.2011.6102448openalex-snapshot
Guiding feature subset selection with an interactive visualization
inferredcites →https://doi.org/10.1109/vast.2012.6400486openalex-snapshot
Dis-function: Learning distance functions interactively
inferredcites →https://doi.org/10.1109/vast.2015.7347637openalex-snapshot
FeatureInsight: Visual support for error-driven feature ideation in text classification
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01475.xopenalex-snapshot
iPCA: An Interactive System for PCA‐based Visual Analytics
inferredcites →https://doi.org/10.1126/science.aaa9375openalex-snapshot
The reusable holdout: Preserving validity in adaptive data analysis
inferredcites →https://doi.org/10.1145/1143844.1143865openalex-snapshot
An empirical comparison of supervised learning algorithms
inferredcites →https://doi.org/10.1145/1240624.1240630openalex-snapshot
How it works
inferredcites →https://doi.org/10.1145/1277741.1277758openalex-snapshot
An interactive algorithm for asking and incorporating feature feedback into support vector machines
inferredcites →https://doi.org/10.1145/1357054.1357160openalex-snapshot
Investigating statistical machine learning as a tool for software development
inferredcites →https://doi.org/10.1145/1378773.1378781openalex-snapshot
Integrating rich user feedback into intelligent user interfaces
inferredcites →https://doi.org/10.1145/1518701.1519023openalex-snapshot
Why and why not explanations improve the intelligibility of context-aware intelligent systems
inferredcites →https://doi.org/10.1145/1622176.1622222openalex-snapshot
Overview based example selection in end user interactive concept learning
inferredcites →https://doi.org/10.1145/1753326.1753531openalex-snapshot
Examining multiple potential models in end-user interactive concept learning
inferredcites →https://doi.org/10.1145/1978942.1978965openalex-snapshot
Human model evaluation in interactive supervised learning
inferredcites →https://doi.org/10.1145/2030365.2030367openalex-snapshot
Why-oriented end-user debugging of naive Bayes text classification
inferredcites →https://doi.org/10.1145/2207676.2207680openalex-snapshot
Regroup
inferredcites →https://doi.org/10.1145/2556288.2557238openalex-snapshot
Structured labeling for facilitating concept evolution in machine learning
inferredcites →https://doi.org/10.1145/2675133.2675214openalex-snapshot
Flock
inferredcites →https://doi.org/10.1145/2678025.2701399openalex-snapshot
Principles of Explanatory Debugging to Personalize Interactive Machine Learning
inferredcites →https://doi.org/10.1145/2702123.2702509openalex-snapshot
ModelTracker
inferredcites →https://doi.org/10.1145/2858036.2858529openalex-snapshot
Interacting with Predictions
inferredcites →https://doi.org/10.1145/3025453.3026044openalex-snapshot
Revolt
inferredcites →https://doi.org/10.1145/3077257.3077263openalex-snapshot
Flipper
inferredcites →https://doi.org/10.1145/604045.604056openalex-snapshot
Interactive machine learning
inferredcites →https://doi.org/10.1257/aer.89.1.103openalex-snapshot
Doing It Now or Later
inferredcites →https://doi.org/10.14778/3157794.3157797openalex-snapshot
Snorkel
inferredcites →https://doi.org/10.1609/aaai.v31i1.10821openalex-snapshot
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration
inferredcites →https://doi.org/10.1609/aimag.v35i4.2513openalex-snapshot
Power to the People: The Role of Humans in Interactive Machine Learning
inferredcites →https://doi.org/10.2307/1926487openalex-snapshot
Models of Man--Social and Rational
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
Individual Comparisons by Ranking Methods
inferredcites →https://doi.org/10.24297/ijct.v2i3c.2717openalex-snapshot
Opinion Mining and Sentiment Analysis: A Survey
inferredcites →https://doi.org/10.3389/fnins.2012.00163openalex-snapshot
Effects of Prior Knowledge on Decisions Made Under Perceptual vs. Categorical Uncertainty
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1409.4814openalex-snapshot
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
inferredcites →https://doi.org/10.48550/arxiv.1610.02413openalex-snapshot
Equality of Opportunity in Supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.1707.01890openalex-snapshot
An Interactive Tool for Natural Language Processing on Clinical Text
inferredcites →https://doi.org/10.5555/1248547.1248608openalex-snapshot
Active Learning with Feedback on Features and Instances
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.5860/choice.34-3595openalex-snapshot
Social psychology: handbook of basic principles
inferredcites →https://doi.org/10.63317/2jktnrykui9sopenalex-snapshot
SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-94551-0_12openalex-snapshot
Research on Key Technologies of Analysis of User Emotion Fluctuation Characteristics in Wireless Network Based on Social Information Processing
inferred← citeshttps://doi.org/10.1007/978-3-032-09307-3_3openalex-snapshot
Defining Biases in Visual Data Analysis
inferred← citeshttps://doi.org/10.1007/978-981-95-0269-1_178openalex-snapshot
Interactive Data Mining with Machine Learning: User-Centric Approaches and Tools
inferred← citeshttps://doi.org/10.1016/j.heliyon.2020.e04412openalex-snapshot
Assessment of supervised classifiers for the task of detecting messages with suicidal ideation
inferred← citeshttps://doi.org/10.1016/j.invent.2022.100519openalex-snapshot
Bootstrapping semi-supervised annotation method for potential suicidal messages
inferred← citeshttps://doi.org/10.1109/access.2020.3028260openalex-snapshot
Experimental Results on Customer Reviews Using Lexicon-Based Word Polarity Identification Method
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378221openalex-snapshot
Interpretation of Sentiment Analysis with Human-in-the-Loop
inferred← citeshttps://doi.org/10.1109/incet57972.2023.10169912openalex-snapshot
Sentiment Analysis using Multi-objective Optimization-based Feature Selection Approach
inferred← citeshttps://doi.org/10.1109/incet57972.2023.10170147openalex-snapshot
Multi-objective Hybrid Optimization-based Feature Selection for Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3184247openalex-snapshot
EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries
inferred← citeshttps://doi.org/10.1145/3313831.3376624openalex-snapshot
No Explainability without Accountability
inferred← citeshttps://doi.org/10.1145/3397481.3450637openalex-snapshot
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
inferred← citeshttps://doi.org/10.1145/3411763.3443423openalex-snapshot
Principles and Interactive Tools for Evaluating and Improving the Behavior of Natural Language Processing models
inferred← citeshttps://doi.org/10.1145/3411764.3445096openalex-snapshot
Designing Interactive Transfer Learning Tools for ML Non-Experts
inferred← citeshttps://doi.org/10.1145/3430524.3442703openalex-snapshot
Interactive Machine Learning for Embodied Interaction Design: A tool and methodology
inferred← citeshttps://doi.org/10.1145/3432934openalex-snapshot
Explainable Active Learning (XAL)
inferred← citeshttps://doi.org/10.1145/3442381.3450092openalex-snapshot
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems
inferred← citeshttps://doi.org/10.1145/3479552openalex-snapshot
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
inferred← citeshttps://doi.org/10.1145/3512943openalex-snapshot
Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization
inferred← citeshttps://doi.org/10.1145/3544548.3581290openalex-snapshot
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design
inferred← citeshttps://doi.org/10.1145/3565472.3595612openalex-snapshot
Human Expectations and Perceptions of Learning in Machine Teaching
inferred← citeshttps://doi.org/10.1145/3579612openalex-snapshot
Improving Human-AI Collaboration With Descriptions of AI Behavior
inferred← citeshttps://doi.org/10.1145/3581641.3584059openalex-snapshot
ScatterShot: Interactive In-context Example Curation for Text Transformation
inferred← citeshttps://doi.org/10.1145/3589345openalex-snapshot
LIMEADE: From AI Explanations to Advice Taking
inferred← citeshttps://doi.org/10.1145/3613904.3641905openalex-snapshot
Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making
inferred← citeshttps://doi.org/10.1145/3654777.3676323openalex-snapshot
VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making
inferred← citeshttps://doi.org/10.1145/3706598.3713691openalex-snapshot
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
inferred← citeshttps://doi.org/10.1145/3708359.3712092openalex-snapshot
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
inferred← citeshttps://doi.org/10.1155/2022/2538896openalex-snapshot
The Fusion Application of Deep Learning Biological Image Visualization Technology and Human-Computer Interaction Intelligent Robot in Dance Movements
inferred← citeshttps://doi.org/10.1162/tacl_a_00440openalex-snapshot
Explanation-Based Human Debugging of NLP Models: A Survey
inferred← citeshttps://doi.org/10.15760/etd.7878openalex-snapshot
Scenario Acceleration Through Automated Modelling: A Method and System for Creating Traceable Quantitative Future Scenarios Based on FCM System Modeling and Natural Language Processing
inferred← citeshttps://doi.org/10.17762/turcomat.v12i7.3055openalex-snapshot
Bidirectional Encoder Representations from Transformers (BERT) Language Model for Sentiment Analysis task: Review
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.24openalex-snapshot
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
inferred← citeshttps://doi.org/10.2478/fcds-2023-0008openalex-snapshot
Sentiment Analysis Framework using Deep Active Learning for Smartphone Aspect Based Rating Prediction
inferred← citeshttps://doi.org/10.3389/frai.2023.1066049openalex-snapshot
Leveraging explanations in interactive machine learning: An overview
inferred← citeshttps://doi.org/10.48550/arxiv.2001.09219openalex-snapshot
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience
inferred← citeshttps://doi.org/10.48550/arxiv.2003.10365openalex-snapshot
On Interactive Machine Learning and the Potential of Cognitive Feedback
inferred← citeshttps://doi.org/10.48550/arxiv.2010.04987openalex-snapshot
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
inferred← citeshttps://doi.org/10.61643/c78533openalex-snapshot
Analysing Language-Based Cyber Threats: An Examination of Cybersecurity for Chinese Text
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