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FairMOE: counterfactually-fair mixture of experts with levels of interpretability
With the rise of artificial intelligence in our everyday lives, the need for human interpretation of machine learning models’ predictions emerges as...
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Fast linear model trees by PILOT
Linear model trees are regression trees that incorporate linear models in the leaf nodes. This preserves the intuitive interpretation of decision...
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A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting
In this paper, we propose systematic approaches for learning imbalanced data based on a two-regime process: regime 0, which generates excess zeros...
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An uncertainty-aware domain adaptive semantic segmentation framework
Semantic segmentation is significant to realize the scene understanding of autonomous driving. Due to the lack of annotated real-world data, the...
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CSSLnO: Cat Swarm Sea Lion Optimization-based deep learning for fake news detection from social media
Social media has effectively shortened the time for the distribution of information, which sometimes carry news when compared to traditional methods....
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A fast verifiable fully homomorphic encryption technique for secret computation on cloud data
In the domain of cloud computing, safeguarding the confidentiality and integrity of outsourced sensitive data during computational processes is of...
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Multiple unmanned ship coverage and exploration in complex sea areas
This study addresses the complexities of maritime area information collection, particularly in challenging sea environments, by introducing a...
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Integrated feature selection and ensemble learning for heart disease detection: a 2-tier approach with ALAN and ET-ABDF machine learning model
The findings of this investigation give a novel approach to the forecasting of heart disease. For the purpose of determining significant features, it...
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“Solar synergy: maximizing photovoltaic power with spotted hyena method in uniform and partial-shade environmental conditions”
A novel bioinspired Spotted-Hyena Method (SH) is proposed to track the maximum power point of partially shaded photovoltaic arrays. The SH algorithm...
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Lattice-based device-to-device authentication and key exchange protocol for IoT system
Protecting IoT environments from the increasing number of cyber threats has grown more important as the number of Internet of Things (IoT) devices...
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Water-saving control system based on multiple intelligent algorithms
Water conservation has become a global problem as the population increases. In many densely populated cities in China, leaks from century-old pipe...
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Nature inspired recommendation with path optimization for online social network communities
Human sentiment prevalent in online dialogues largely governs the formation of communities in online social networks. These recommendation methods...
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Transfer learning for emotion detection in conversational text: a hybrid deep learning approach with pre-trained embeddings
Understanding the emotions and sentiments from conversations has relevance in many application areas. Specifically, conversational agents,...
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Rule learning by modularity
In this paper, we present a modular methodology that combines state-of-the-art methods in (stochastic) machine learning with well-established methods...
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Measure-operator convolutions and applications to mixed-state Gabor multipliers
For the Weyl-Heisenberg group, convolutions between functions and operators were defined by Werner as a part of a framework called quantum harmonic...
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Delineation of ECG waveform components using encoder-decoder architecture with Postprocess algorithm
With the exponential increase in heart disease cases, it is essential to construct models (algorithms) that can be used to delineate...
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Energy efficient dynamic resource allocation in C-RAN using tunicate swarm and whale optimization algorithm
In Cloud radio access network (C-RAN) architecture, the signals are processed through cloud-computing method where the baseband units (BBUs) of all...
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PROUD: PaRetO-gUided diffusion model for multi-objective generation
Recent advancements in the realm of deep generative models focus on generating samples that satisfy multiple desired properties. However, prevalent...
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A novel approach to detect, analyze and block adversarial web pages
The phenomenon of distraction is very common, and its adverse effects are seen among people. The major cause underlying this issue is the ease with...
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Detecting review fraud using metaheuristic graph neural networks
Although online reviews play a critical role in sha** consumer behavior and establishing institutional trust, this reliance on online reviews has...
