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GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection
This paper introduces a modified version of a genetic algorithm with aggressive mutation (GAAM), one of the genetic algorithms (GAs) used for feature...
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Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection
The “curse of dimensions” is a term that describes the many difficulties that arise in machine learning tasks as the number of features in the...
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Attention-based framework for weakly supervised video anomaly detection
Video anomaly detection automatically recognizes abnormal events in surveillance videos. Existing works have made advances in recognizing whether a...
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fGAAM: A fast and resizable genetic algorithm with aggressive mutation for feature selection
The paper introduces a modified version of a genetic algorithm with aggressive mutation (GAAM) called fGAAM (fast GAAM) that significantly decreases...
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Protein Folding Optimization Using Butterfly Optimization Algorithm
Protein folding optimization (PFO) is an NP-hard problem. The Butterfly Optimization Algorithm (BOA) is a recently invented meta-heuristic algorithm...
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Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images
Semantic segmentation of whole slide images (WSIs) helps pathologists identify lesions and cancerous nests. However, training fully supervised...
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MSDeepNet: A Novel Multi-stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos
Anomaly detection in real time surveillance videos is a challenging task due to the scenario dependency, duration and multiple occurrences of...
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Literature Survey and an Idea Comprehension on Prediction of Hysterectomy in Women Using Natural Language Processing and Deep Learning Technique for Electronic Health Record
Doctors today are facing humongous challenges in handling the non-electronic health record (EHR) especially in patients having chronic conditions...
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Optimization of protein folding using chemical reaction optimization in HP cubic lattice model
Protein folding optimization is a very important and tough problem in computational biology. For solving this problem, a population-based...
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Modeling Rates of Change and Aggregations in Runtime Goal Models
Achieving real-time agility and adaptation with respect to changing requirements in existing IT infrastructure can pose a complex challenge. We...
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Thirty years of Artificial Intelligence and Law: the first decade
The first issue of Artificial Intelligence and Law journal was published in 1992. This paper provides commentaries on landmark papers from the first...
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Context Aware Community Formation for MAS-Oriented Collective Adaptive System
Forming an effective collaboration community is the key to any successful collaborative process. However, community formation approaches for the...
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Automated Optimization of Weighted Non-functional Objectives in Self-adaptive Systems
A self-adaptive system (SAS) can reconfigure at run time in response to adverse combinations of system and environmental conditions in order to...
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Accurate Classification of ECG Patterns with Subject-Dependent Feature Vector
Correct and accurate classification of ECG patterns in a long-term record requires optimal selection of feature vector. We propose a machine learning...
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Genetic algorithm with aggressive mutation for feature selection in BCI feature space
The aim of this paper is to present a new algorithm for feature selection, called a genetic algorithm with aggressive mutation. The paper presents...
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Modeling Claim-Making Process in Democratic Deliberation
Online deliberation is a promising venue for rational-critical discourse in public spheres and has the potential to support participatory...
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Fingerprint Wi-Fi Radio Map Interpolated by Discontinuity Preserving Smoothing
In location fingerprinting, the position of a mobile device is identified by matching its received signal strength pattern with pre-recorded radio...
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A Quarter of Century in Artificial Intelligence and Law: Projects, Personal Trajectories, a Subjective Perspective
This article describes projects in the domain of artificial intelligence and law, which resulted from the research of the five authors listed, when...
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Requirements-Driven Qualitative Adaptation
Co** with run-time uncertainty pose an ever-present threat to the fulfillment of requirements for most software systems (embedded, robotic,...
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High Resolution Image Reconstructed by ARPS Motion Estimation and POCS
In POCS (projection onto convex sets)-based reconstruction of HR (high resolution) image, the quality of reconstructed image is gradually improved...