the proceedings contain 40 papers. the topics discussed include: efficient error setting for subspace miners;towards the efficient recovery of general multi-dimensional Bayesian network classifier;a cost-sensitive bas...
ISBN:
(纸本)9783319089782
the proceedings contain 40 papers. the topics discussed include: efficient error setting for subspace miners;towards the efficient recovery of general multi-dimensional Bayesian network classifier;a cost-sensitive based approach for improving associative classification on imbalanced datasets;multiple regression method based on unexpandable and irreducible convex combinations;a novel approach for identifying banded patterns in zero-one data using column and row banding scores;fast patternrecognition and deep learning using multi-rooted binary decision diagrams;integrating weight with ensemble to handle changes in class distribution;a robust one-class classification model with interval-valued data based on belief functions and Minimax strategy;and monitoring distributed data streams through node clustering.
the proceedings contain 60 papers. the special focus in this conference is on machinelearning and datamining in patternrecognition. the topics include: Evolving a low price recovery strategy for distressed securiti...
ISBN:
(纸本)9783319419190
the proceedings contain 60 papers. the special focus in this conference is on machinelearning and datamining in patternrecognition. the topics include: Evolving a low price recovery strategy for distressed securities;a spectral clustering based outlier detection technique;a learning framework to improve unsupervised gene network inference;a closed frequent subgraph mining algorithm in unique edge label graphs;using glocal event alignment for comparing sequences of significantly different lengths;using support vector machines for intelligent service agents decision making;list price optimization using customized decision trees;adaptive mountain silhouette extraction from images;k-means over incomplete datasets using mean Euclidean distance;a time series model of the writing process;semantic aware Bayesian network model for actionable knowledge discovery in linked data;driving style identification with unsupervised learning;fast and memory efficient discovery of closed high-utility itemsets;fast detection of block boundaries in block-wise constant matrices;inferring censored geo-information with non-representative data;efficient mining of weighted frequent itemsets in uncertain databases;automatic detection of latent common clusters of groups in multigroup regression;content based identification of talk show videos using audio visual features;an algorithm to the incremental extraction of significant sequences from environmental sensor data;a language modeling approach for time series classification;a new strategy for case-based reasoning retrieval using classification based on association and a review on artificial intelligence based parameter forecasting for soil-water content.
the proceedings contain 44 papers. the topics discussed include: quadratically constrained maximum a posteriori estimation for binary classifier;hubness-based fuzzy measures for high-dimensional k-nearest neighbor cla...
ISBN:
(纸本)9783642231988
the proceedings contain 44 papers. the topics discussed include: quadratically constrained maximum a posteriori estimation for binary classifier;hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification;decisions: algebra and implementation;ACE-cost: acquisition cost efficient classifier by hybrid decision tree with local SVM leaves;informative variables selection for multi-relational supervised learning;separability of split value criterion with weighted separation gains;granular instances selection for fuzzy modeling;parameter-free anomaly detection for categorical data;GENCCS: a correlated group difference approach to contrast set mining;collective classification using heterogeneous classifiers;spherical nearest neighbor classification: application to hyperspectral data;adaptive kernel diverse density estimate for multiple instance learning;and boosting inspired process for improving AUC.
Categorical data classification and clustering are essential to many fields, including patternrecognition, datamining, knowledge discovery, and machinelearning. It is crucial to understand how to provide categorica...
详细信息
the proceedings contain 45 papers. the special focus in this conference is on Computational Intelligence in patternrecognition. the topics include: Vietnamese Text Summarization Using Transformer Approach;DQN Trader:...
ISBN:
(纸本)9789819780891
the proceedings contain 45 papers. the special focus in this conference is on Computational Intelligence in patternrecognition. the topics include: Vietnamese Text Summarization Using Transformer Approach;DQN Trader: Reinforcement learning for Automated Trading;indirect Feature Extraction for Efficient Fingerprint recognition;A Novel and Intelligent Neuroimage Analysis for Tumor Classification withthermo-Color Segmentation Using VGG-16;a Deep Feature Ensemble Methodology for 2D Biomedical Image Classification;detection of Hardware Trojan in Nanocrossbar-Based Cryptographic Circuit;convolutional Neural Network Segmentation for Satellite Imagery data to Identify Landforms Using U-Net Architecture;performance Comparison of Different machinelearning Classifiers for Diabetes Prediction;Intelligent Anti-tamper Systems: Safeguarding Critical Infrastructure in the Era of Proliferating Interconnected Devices and IoBT;contrasting Various Cryptographic Algorithms for Storage and Cloud Computing Services;A New Technique of Cellular-Automata-Based PUF Design in Nanoscale Crossbar Circuits;CrimeScene2Graph: Generating Scene Graphs from Crime Scene Descriptions Using BERT NER;a Squeeze and Excitation Framework Utilizing ResNet-152 for Alzheimer’s Disease Dementia Classification;Identification of Real or Fake Currency Using Semi-supervised Generative Adversarial Networks (SSGANs);efficient Detection of Fake Twitter Profiles on Social Media through Hybrid Deep learning Model;religious Sentiment Analysis and Detection on Social Media;Visualizing NASDAQ Composite Index Historical data Using Tableau;typeface Identification for English Using Convolutional Neural Networks;Adaptive Ensemble of ML Regressors and LSTM for Stock Price Prediction;PolyNMT: Neural machine Translation Model with Seq2Seq Encoder-Decoder System;a Rectangular Slotted Sierpinski Fractal Bowtie Antenna for Multiband Wireless Communications;enhancing Cardiac Health: machinelearning in Coronary Artery Disease Predi
the Automated Challan Filling System integrates several advanced technologies, such as Optical Character recognition (OCR), machinelearning (ML), and voice assistance to modernize the bank challan process. Such techn...
详细信息
Alzheimer’s disease (AD) is a brain-degenerative mental illness defined by growing forgetfulness. It also includes the loss of cognitive and behavioural characteristics. this research aims at developing a machine lea...
详细信息
In order to increase automation, strengthen decision- making, and improve efficiency while reducing costs and maintaining precision, the development of intelligent machinery is becoming more and more dependent on the ...
详细信息
As online social platforms continue to proliferate, the menace of social spam has become a pressing concern, necessitating effective detection mechanisms. this chapter provides a comprehensive review of the current la...
详细信息
the proceedings contain 289 papers. the topics discussed include: a comparative analysis of machinelearning techniques for the detection and classification of lung cancer;empirical examination of mobile ad hoc routin...
ISBN:
(纸本)9798331522667
the proceedings contain 289 papers. the topics discussed include: a comparative analysis of machinelearning techniques for the detection and classification of lung cancer;empirical examination of mobile ad hoc routing protocol on wireless sensor network;optimizing performance and cost efficiency in AI-driven cloud infrastructures: a multi-objective approach;healthcare data protection and biometric access on cloud platforms;network anomaly detection using similarity-aware ensemble learning;a review of advancements in NLP and speech recognition for enhanced operating systems;comparative analysis of edge-based and cloud-based intrusion detection systems: a systematic literature review;utilization of virtual reality technology for enhancement of e-commerce experience;and breast cancer detection using ultrasound images based and convolutional neural network.
暂无评论