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检索条件"任意字段=International Conference on Applied Machine Learning and Data Science"

共 123002 条记录，以下是11-20 订阅

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5th international conference on data science, machine learning and Applications, ICDSMLA 2023

5th International Conference on Data Science, Machine Learni...

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5th international conference on data science, machine learning and Applications, ICDSMLA 2023

ISBN: (纸本)9789819780426

The proceedings contain 128 papers. The special focus in this conference is on data science, machine learning and Applications. The topics include: Digitization of Monuments – An Impact on the Tourist Experience with Special Reference to Hampi;resume Parser Using machine learning;IOT Based Smart Hydroponics System;comparative Study of machine learning and Deep learning Techniques for Cancer Disease Detection;High Thruput Modulation Approaches Used in Next Generation WiF’s Under Multi-impairments Environments with MATLAB Codes;skin Disease Detection;root Vegetable Crop Recommendation System Based on Soil Properties and Environmental Factors;deep learning Model Development for an Automatic Healthcare Edge Computing Application;Empathetic Conversations in Mental Health: Fine-Tuning LLMs for Supportive AI Interactions;exploring Block Chain Technology with Applications, and Future Prospects;a Comprehensive Review of Soft Computing Enabled Techniques for IoT Security: State-of-the-Art and Challenges Ahead;Performance Analysis of machine learning Algorithms on Imbalanced datasets Using SMOTE Technique;An AI Based Nutrient Tracking and Analysis System;power Saving Mechanism for Street Lights System Using IoT;Automatic Login System Using ATTINY85 IC;forecasting Stock Prices: A Comparative Analysis of machine learning, Deep learning, and Statistical Approaches;smart Vision Bot;robots in Logistics: Apprehension of Current Status and Future Trends in Indian Warehouses;smart Healthcare: Enhancing Patient Well-Being with IoT;Detection of B-ALL Using CNN Model and Deep learning;a Comprehensive Analysis for Advancements and Challenges in Deep learning Models for Image Processing;a Comprehensive Survey on Enhancing Patient Care Through Deep learning and IoT-Enabled Healthcare Innovations;attention-Based Image Caption Generation.

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10th international conference on machine learning, Optimization, and data science, LOD 2024

10th International Conference on Machine Learning, Optimizat...

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10th international conference on machine learning, Optimization, and data science, LOD 2024

ISBN: (纸本)9783031824838

The proceedings contain 79 papers. The special focus in this conference is on machine learning, Optimization, and data science. The topics include: Assessing the Impact of Government Policies on Covid-19 Spread: A machine learning Approach;optimal Design and Implementation of an Open-Source Emulation Platform for User-Centric Shared E-mobility Services;protein Sequence Generation Using Denoising Probabilistic Diffusion Model;individual Fairness in Generative Text Models;Refined Direct Preference Optimization with Synthetic data for Behavioral Alignment of LLMs;artificial Intelligence and Cyber Security;exploring Digital Health Trends in the Headlines via Knowledge Graph Analysis;robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading;optimal Risk Scores for Continuous Predictors;post-Treatment Gait Prediction After Botulinum Toxin Injections Using Deep learning with an Attention Mechanism;leveraging Graph Networks and Generative Adversarial Networks for Controllable Trajectory Predictions;nearest Neighbors Counterfactuals;an Attention-Based Representation Distillation Baseline for Multi-label Continual learning;pattern Detection in Abnormal District Heating data;harnessing Graph Neural Networks for Pattern Classification in Heterogeneous Event Graphs;learn to Create Neighborhoods in Real-World Vehicle Routing Problem;PointerKex: A Pointer-Based SSH Key Extraction Method;addressing the Permutation Flowshop Scheduling with Grey Wolf Optimizer;MCGRAN: Multi-conditional Graph Generation for Neural Architecture Search;generative Reward machine for Reinforcement learning for Physical Internet Distribution Centre;Between Accurate Prediction and Poor Decision Making: The AI/ML Gap;cross-Metapath Based Hashing for Recommendation Systems;beyond Iterative Tuning: Zero-Shot Hyperparameter Optimisation for Decision Trees;Augmented Human-AI Forecasting for Ship Refit Project Scheduling: A Predict-then-Optimize Approach;evaluation of Document Dedupli

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10th international conference on machine learning, Optimization, and data science, LOD 2024

10th International Conference on Machine Learning, Optimizat...

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10th international conference on machine learning, Optimization, and data science, LOD 2024

ISBN: (纸本)9783031824807

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10th international conference on machine learning, Optimization, and data science, LOD 2024

10th International Conference on Machine Learning, Optimizat...

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10th international conference on machine learning, Optimization, and data science, LOD 2024

ISBN: (纸本)9783031824869

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7th international conference on data science and machine learning Applications (CDMA2022) 7

7th International Conference on Data Science and Machine Lea...

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7th international conference on data science and machine learning Applications (CDMA)

作者： Ghouti, Lahouari Qureshi, Basit Saba, Tanzila Malik, Hafiz Prince Sultan Univ Coll Comp & Informat Sci Riyadh Saudi Arabia Univ Michigan Dept Elect & Comp Engn ECE Dearborn MI 48128 USA

Welcome to the seventh edition of the biennial international conference on data science and machine learning Applications (CDMA2022). This edition celebrates the 2030 Saudi Vision and its ambitions goals to reach the ... 详细信息

ISBN: (纸本)9781665410144

关键词： data science/Analytics machine learning Deep learning

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9th international conference on machine learning, Optimization, and data science, LOD 2023

9th International Conference on Machine Learning, Optimizati...

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9th international conference on machine learning, Optimization, and data science, LOD 2023

ISBN: (纸本)9783031539657

The proceedings contain 34 papers. The special focus in this conference is on machine learning, Optimization, and data science. The topics include: Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems;heaviest and Densest Subgraph Computation for Binary Classification. A Case Study;SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization;accelerated Graph Integration with Approximation of Combining Parameters;improving Reinforcement learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison;a Hybrid Steady-State Genetic Algorithm for the Minimum Conflict Spanning Tree Problem;reinforcement learning for Multi-Neighborhood Local Search in Combinatorial Optimization;evaluation of Selected Autoencoders in the Context of End-User Experience Management;application of Multi-agent Reinforcement learning to the Dynamic Scheduling Problem in Manufacturing Systems;solving Mixed Influence Diagrams by Reinforcement learning;exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code;multi-scale Heat Kernel Graph Network for Graph Classification;PROS-C: Accelerating Random Orthogonal Search for Global Optimization Using Crossover;a Multiclass Robust Twin Parametric Margin Support Vector machine with an Application to Vehicles Emissions;LSTM Noise Robustness: A Case Study for Heavy Vehicles;ensemble Clustering for Boundary Detection in High-Dimensional data;learning Graph Configuration Spaces with Graph Embedding in Engineering Domains;towards an Interpretable Functional Image-Based Classifier: Dimensionality Reduction of High-Density Diffuse Optical Tomography data;on Ensemble learning for Mental Workload Classification;decision-Making over Compact Preference Structures;user-Like Bots for Cognitive Automation: A Survey;geolocation Risk Scores for Credit Scoring Models;On Channel Selection for EEG-Based Mental Workload Clas

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9th international conference on machine learning, Optimization, and data science, LOD 2023

9th International Conference on Machine Learning, Optimizati...

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9th international conference on machine learning, Optimization, and data science, LOD 2023

ISBN: (纸本)9783031539688

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The 4th international conference on data science, machine learning 2022

The 4th International Conference on Data Science, Machine Le...

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The 4th international conference on data science, machine learning 2022

ISBN: (纸本)9789819920570

The proceedings contain 39 papers. The special focus in this conference is on data science, machine learning and Applications. The topics include: Monitoring the Farming Conditions Using IoT;Design of OTFS Modulation by Superimposed Pilot-Based Channel Estimation and Embedded Pilot-Aided Estimation;Morphology and EMD-Based Patch-Wise Image Fusion;PSO-Based Evolutionary Image Segmentation System for Analysis of Fatty Liver Level Recognition;blake–Zisserman Model of Segmentation Method for Low-Contrast and Piecewise Smooth Image;Performance Enhancement of Wireless Systems Using Hybrid RIS Technique;Creation of a Platform for Artisans to Promote Their Product Using Blockchain as NFT;face Recognition Based Home Security System to Detect Usual/Unusual person Using IoT;opinion Mining-Based Fake Review Detection Using Deep learning Technique;automatic Detection and Cleaning of Manhole Blockages Using IoT;design and Implementation of a Smart Door Locking System with Automatic Appliance Switching;dynamic Game Difficulty Adjustment Based on Facial Emotion Recognition;parallel Implementation of PageRank Based K-Means Clustering on a Multithreaded Architecture;ZACube-2 Mission Operations Analysis;a Novel Approach for Speech Emotion Recognition with Facial Expression Analysis;effect of Environment on Students Performance Through Orange Tool of data Mining;phishing Email Mitigation Technique Using Back-Propagation Neural Network for Cyber Space;crime Visualization and Forecasting Using machine learning;an Empirical Comparison of Classification machine learning Models Using Medical datasets;Analysis of the SEER data set for Lung Cancer Diagnosis for Stage Classification and Survival Analysis;risk Prediction of Chronic Kidney Disease Using machine learning Algorithms;sandalwood Tree Deduction Using Deep learning;phishing Attack Detection Using machine learning.

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8th international conference on machine learning, Optimization, and data science, LOD 2022, held in conjunction with the 2nd Advanced Course and Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022

8th International Conference on Machine Learning, Optimizati...

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8th international conference on machine learning, Optimization, and data science, LOD 2022, held in conjunction with the 2nd Advanced Course and Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022

ISBN: (纸本)9783031258909

The proceedings contain 85 papers. The special focus in this conference is on machine learning, Optimization, and data science. The topics include: A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs;brain Structural Saliency over the Ages;Revisiting Neurological Aspects of Relevance: An EEG Study;BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks;multi-omic data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders;smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of Weights;biologically Inspired Unified Artificial Immune System for Industrial Equipment Diagnostic;a Nonparametric Pooling Operator Capable of Texture Extraction;strategic Workforce Planning with Deep Reinforcement learning;preface;pooling Graph Convolutional Networks for Structural Performance Prediction;enhanced Association Rules and Python;generating Vascular Networks: A Reinforcement learning Approach;expressive and Intuitive Models for Automated Context Representation learning in Credit-Card Fraud Detection;digital Twins: Modelling Languages Comparison;algorithms that Get Old: The Case of Generative Deep Neural Networks;a Two-Country Study of Default Risk Prediction Using Bayesian machine-learning;enforcing Hard State-Dependent Action Bounds on Deep Reinforcement learning Policies;a Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with Drones;best Practices in Flux Sampling of Constrained-Based Models;EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python;a Game Theoretic Flavoured Decision Tree for Classification;hierarchical Decentralized Deep Reinforcement learning Architecture for a Simulated Four-Legged Agent;Robust PCA for Anomaly Detection and data Imputation in Seasonal Time Series;monte Carlo Optimization of Liver machine Perfusion Temperature Policies;A Comparison of SVM Against Pre-trained Language Mo

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8th International Conference on Machine Learning, Optimizati...

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ISBN: (纸本)9783031255984

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