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Found 14 papers, 7 papers with code
Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic
Building on this, this paper explores how to provide designers with effective explanations for their legally relevant design decisions.
A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks
In the ride-hailing industry, subsidies are predominantly employed to incentivize consumers to place more orders, thereby fostering market growth.
Estimation of Participation Factors for Power System Oscillation from Measurements
In a power system, when the participation factors of generators are computed to rank their participations into an oscillatory mode, a model-based approach is conventionally used on the linearized system model by means of the corresponding right and left eigenvectors.
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management
In this paper, we propose RegionGen, a data-driven region generation framework that can specify regions with key characteristics (e. g., good spatial semantic meaning and predictability) by modeling region generation as a multi-objective optimization problem.
An Argumentation-Based Legal Reasoning Approach for DL-Ontology
Ontology is a popular method for knowledge representation in different domains, including the legal domain, and description logics (DL) is commonly used as its description language.
Testing Relative Fairness in Human Decisions With Machine Learning
Such relative fairness has the following benefits: (1) it avoids the ambiguous and contradictory definition of "absolute" fair decisions; (2) it reveals the relative preference and bias between different human decisions; (3) if a reference set of decisions is provided, relative fairness of other decision sets against this reference set can reflect whether those decision sets are fair by the standard of that reference set.
FairBalance: How to Achieve Equalized Odds With Data Pre-processing
We found that equalizing the class distribution in each demographic group with sample weights is a necessary condition for achieving equalized odds without modifying the normal training process.
A General-Purpose Dehazing Algorithm based on Local Contrast Enhancement Approaches
Dehazing is in the image processing and computer vision communities, the task of enhancing the image taken in foggy conditions.
NTIRE 2020 Challenge on NonHomogeneous Dehazing
We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor.
Identifying Self-Admitted Technical Debts with Jitterbug: A Two-step Approach
Keeping track of and managing the self-admitted technical debts (SATDs) is important to maintaining a healthy software project.
Software Engineering
Better Technical Debt Detection via SURVEYing
Specifically, for ten open-source JAVA projects, we can find 83% of the technical debt via SURVEY0 using just 16% of the comments (and if higher levels of recall are required, SURVEY0can adjust towards that with some additional effort).
TERMINATOR: Better Automated UI Test Case Prioritization
Given that much of the automated UI testing is "black box" in nature, very little information (only the test case descriptions and testing results) can be utilized to prioritize these automated UI test cases.
Finding Faster Configurations using FLASH
FLASH scales up to software systems that defeat the prior state of the art model-based methods in this area.
Software Engineering
Finding Better Active Learners for Faster Literature Reviews
Literature reviews can be time-consuming and tedious to complete.
