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A multi-criteria decision making based integrated approach for rumor prevention in social networks
Rumors are unverified pieces of information whose veracity status is unknown at the time of circulation. Preventing them at an early stage helps to...
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Causal heterogeneity discovery by bottom-up pattern search for personalised decision making
In personalised decision making, evidence is required to determine whether an action (treatment) is suitable for an individual. Such evidence can be...
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A multi-attribute decision making approach based on information extraction for real estate buyer profiling
With the rapid development of the Internet and the widespread usage of mobile terminals, data-driven user profiling has become possible. User...
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PolieDRO: a novel classification and regression framework with non-parametric data-driven regularization
PolieDRO is a novel analytics framework for classification and regression that harnesses the power and flexibility of data-driven distributionally...
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Framework design based on data-driven for evaluating the efficiency of group collaboration in scientific research teams
This paper presents a data-driven framework for evaluating collaboration efficiency within scientific research teams. The framework introduces a team...
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Digital Ethics in Data-Driven Organizations and AI Ethics as Application Example
Digital ethics focuses on the moral values and norms when dealing with modern technologies in the digital age, reflects on human actions in the...
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Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies
In the post-Moore’s law era, the progress of electronics relies on discovering superior semiconductor materials and optimizing device fabrication....
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Smart Data-Driven Building Management Framework and Demonstration
The building sector holds a significant impact over global energy usage and carbon emissions, making effective building energy management vital for...
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Using soft maximin for risk averse multi-objective decision-making
Balancing multiple competing and conflicting objectives is an essential task for any artificial intelligence tasked with satisfying human values or...
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DAT: Data Architecture Modeling Tool for Data-Driven Applications
Data is the key to success for any Data-Driven Organization, and managing it is considered the most challenging task. Data Architecture (DA) focuses...
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A technological, data-driven design journey for artificial intelligence (AI) initiatives
The philosophy for information system (IS)-related projects, such as artificial intelligence (AI) projects, embodies systematic and scientific...
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Data-Driven Personas
Data-driven personas are a significant advancement in the fields of human-centered informatics and human-computer interaction. Data-driven personas...
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Just accountability structures – a way to promote the safe use of automated decision-making in the public sector
The growing use of automated decision-making (ADM) systems in the public sector and the need to control these has raised many legal questions in...
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Data-driven consensus control of fully distributed event-triggered multi-agent systems
This study investigates the consensus control issue in discrete-time linear multi-agent systems (MASs) using data-driven control under undirected...
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Adaptive data-driven subsampling for efficient neural network inference
In this paper we present a novel data-driven subsampling method that can be seamlessly integrated into any neural network architecture to identify...
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Dynamic data-driven resource allocation for NB-IoT performance in mobile devices
Integrating Data-driven Mobile Computing Systems, the narrowband Internet of Things (NB-IoT) emerges as a pivotal communication technology...
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A survey of decision making in adversarial games
In many practical applications, such as poker, chess, drug interdiction, cybersecurity, and national defense, players often have adversarial stances,...
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Fault detection of wind turbine system based on data-driven methods: a comparative study
Fault detection plays a crucial role in ensuring the safety, availability, and reliability of modern industrial processes. This study focuses on...
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A learning analytics dashboard for data-driven recommendations on influences of non-cognitive factors in introductory programming
Research so far has overlooked the contribution of students’ noncognitive factors to their performance in introductory programming in the context of...
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Acoustic data-driven framework for structural defect reconstruction: a manifold learning perspective
Data-driven quantitative defect reconstruction using ultrasonic guided waves has recently demonstrated great potential in the area of non-destructive...
