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proceedings of MLMI 2022 - 2022 5th international conference on machine learning and machine intelligence

Proceedings of MLMI 2022 - 2022 5th International Conference...

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5th international conference on machine learning and machine intelligence, MLMI 2022

ISBN: (纸本)9781450397551

the proceedings contain 30 papers. the topics discussed include: determining student’s engagement in synchronous online classes using deep learning (compute vision) and machine learning;an empirical analysis of vision transformer and CNN in resource-constrained federated learning;identifying churning employees: machine learning algorithms from an unbalanced data perspective;predicting the stock market volatility based on deep learning and boosting tree methods;solving imbalanced data in credit risk prediction: a comparison of resampling strategies for different machine learning classification algorithms, taking threshold tuning into account;transformer recommendation machine for rate prediction;design and implementation of music recommendation system based on deep learning;and research on arrhythmia of college students based on convolutional neural network.

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9th international Skin Imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of machine intelligence in Medical Image Computing, iMIMIC 2024, Embodied AI and Robotics for Healthcare Workshop, EARth 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated learning, DeCaF 2024 held at 27th international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

9th International Skin Imaging Collaboration Workshop, ISIC ...

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9th international Skin Imaging Collaboration Workshop, ISIC 2024, 7th international Workshop on Interpretability of machine intelligence in Medical Image Computing, iMIMIC 2024, Embodied AI and Robotics for Healthcare Workshop, EARth 2024 and 5th MICCAI Workshop on Distributed, Collaborative and Federated learning, DeCaF 2024 held at 27th international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

ISBN: (纸本)9783031776090

the proceedings contain 23 papers. the special focus in this conference is on Skin Imaging Collaboration, Interpretability of machine intelligence in Medical Image Computing, Embodied AI and Robotics for Healthcare Workshop and MICCAI Workshop on Distributed, Collaborative and Federated learning. the topics include: DeCaF 2024 Preface;i2M2Net: Inter/Intra-modal Feature Masking Self-distillation for Incomplete Multimodal Skin Lesion Diagnosis;from Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis;segmentation Style Discovery: Application to Skin Lesion Images;a Vision Transformer with Adaptive Cross-Image and Cross-Resolution Attention;lesion Elevation Prediction from Skin Images Improves Diagnosis;DWARF: Disease-Weighted Network for Attention Map Refinement;PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans;Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data;interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis;TextCAVs: Debugging Vision Models Using Text;evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging;Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI;EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting;VISAGE: Video Synthesis Using Action Graphs for Surgery;a Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery;SurgTrack: CAD-Free 3D Tracking of Real-World Surgical Instruments;MUTUAL: Towards Holistic Sensing and Inference in the Operating Room;Complex-Valued Federated learning with Differential Privacy and MRI Applications;enhancing Privacy in Federated learning: Secure Aggregation for Real-World Healthcare Applications;federated Impression for learning with Distributed Heterogeneous Data;A Federated learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation;probing the Effic

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2023 5th international conference on machine learning, Big Data and Business intelligence, MLBDBI 2023

2023 5th International Conference on Machine Learning, Big D...

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5th international conference on machine learning, Big Data and Business intelligence, MLBDBI 2023

ISBN: (纸本)9798350359930

the proceedings contain 66 papers. the topics discussed include: detection of benign and malignant thyroid nodules: an reinforcement region selection network framework;research and application of transmission line intelligent monitoring technology based on UAV inspection;natural scene text detection based on recursive convolutional networks;an ensemble predictive model for vascular cognitive impairment using genetic algorithm;research on pedestrian recognition based on deep learning;multimodal emotion recognition based on hybrid fusion;research on pedestrian tracking detection based on YOLOv5 and improved DeepSORT;enhanced structural information over-sampling with graph neural networks for imbalanced node classification on graphs;and event extraction model based on dependency syntax and label pointer network.

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proceedings - 2022 4th international conference on machine learning, Big Data and Business intelligence, MLBDBI 2022

Proceedings - 2022 4th International Conference on Machine L...

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4th international conference on machine learning, Big Data and Business intelligence, MLBDBI 2022

ISBN: (纸本)9798350333947

the proceedings contain 75 papers. the topics discussed include: construction and application of multidimensional analysis model for meteorological infrastructure resources;multidimensional international logistics channel selection decision model based on second-order verifiability factor analysis;study on fairness of group recommendation based on stochastic model checking;the optimization method of multi-modal data hierarchical cache of portal website based on accessible characteristics of data;cost interval determination technology of distribution network project based on project multi-attribute clustering;pipeline reliability assessment method and application based on probability distribution model;research on paper influence evaluation based on citation network;a distributed traceable anonymous transaction scheme;reliability of air-rail hypernetwork under the disturbance of flight delays based on big data;a method for scholars’ influence evaluation based on representative papers;and a Chinese short text classification method based on BERT sentence embedding integrating external statistical features.

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intelligence science and big data engineering: Big data and machine learning techniques: 5th international conference, IScIDE 2015 Suzhou, China, june 14-16, 2015 revised selected papers, Part II 5th

Intelligence science and big data engineering: Big data and ...

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5th international conference on intelligence Science and Big Data Engineering, IScIDE 2015

作者： He, Xiaofei Gao, Xinbo Zhang, Yanning Zhou, Zhi-Hua Liu, Zhi-Yong Fu, Baochuan Hu, Fuyuan Zhang, Zhancheng Zhejiang University Hangzhou China Xidian University Xi’an China Northwestern Polytechnical University Xi’an China Nanjing University Nanjing China Chinese Academy of Sciences Beijing China Suzhou University of Science and Technology Suzhou China

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3rd international Workshop on Interpretability of machine intelligence in Medical Image Computing, iMIMIC 2020, the 2nd international Workshop on Medical Image learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th international Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020

3rd International Workshop on Interpretability of Machine In...

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3rd international Workshop on Interpretability of machine intelligence in Medical Image Computing, iMIMIC 2020, the 2nd international Workshop on Medical Image learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th international Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020

ISBN: (纸本)9783030611651

the proceedings contain 29 papers. the special focus in this conference is on Interpretability of machine intelligence in Medical Image Computing. the topics include: Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns;Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images;recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins;imimic 2020 preface;Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers;semi-supervised Instance Segmentation with a Learned Shape Prior;COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs;semi-supervised machine learning with MixMatch and Equivalence Classes;Non-contrast CT Liver Segmentation Using CycleGAN Data Augmentation from Contrast Enhanced CT;uncertainty Estimation in Medical Image Localization: Towards Robust Anterior thalamus Targeting for Deep Brain Stimulation;a Case Study of Transfer ofLesion-Knowledge;transfer learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection;unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation;hydraMix-Net: A Deep Multi-task Semi-supervised learning Approach for Cell Detection and Classification;semi-supervised Classification of Chest Radiographs;projective Latent Interventions for Understanding and Fine-Tuning Classifiers;risk of Training Diagnostic Algorithms on Data with Demographic Bias;semi-weakly Supervised learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks;Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels;easierPath: An Open-Source Tool for Human-in-the-Loop Deep learning of Renal Pathology;imbalance-Effective Active learning in Nucleus, Lymphocyte and Plasma Cell Detection;Labeling of Multilingual Breast MRI R

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12th international Workshop on Biological Knowledge Discovery from Data, BIOKDD 2021, 5th international Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd international Workshop on machine learning and Knowledge Graphs, MLKgraphs 2021, 1st international Workshop on Artificial intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st international Workshop on Time Ordered Data, ProTime2021 and 1st international Workshop on AI System Engineering: Math, Modelling and Software, AISys2021 held at 32nd international conference on Database and Expert Systems Applications, DEXA 2021

12th International Workshop on Biological Knowledge Discover...

引用

12th international Workshop on Biological Knowledge Discovery from Data, BIOKDD 2021, 5th international Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd international Workshop on machine learning and Knowledge Graphs, MLKgraphs 2021, 1st international Workshop on Artificial intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st international Workshop on Time Ordered Data, ProTime2021 and 1st international Workshop on AI System Engineering: Math, Modelling and Software, AISys2021 held at 32nd international conference on Database and Expert Systems Applications, DEXA 2021

ISBN: (纸本)9783030871000

the proceedings contain 23 papers. the special focus in this conference is on Database and Expert Systems Applications. the topics include: Semantic Influence Score: Tracing Beautiful Minds through Knowledge Diffusion and Derivative Works;robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis;membership-Mappings for Data Representation learning: Measure theoretic Conceptualization;membership-Mappings for Data Representation learning: A Bregman Divergence Based Conditionally Deep Autoencoder;data Catalogs: A Systematic Literature Review and Guidelines to Implementation;task-Specific Automation in Deep learning Processes;approximate Fault Tolerance for Edge Stream Processing;deep learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends;time Series Pattern Discovery by Deep learning and Graph Mining;a Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems;integrating Gene Ontology Based Grouping and Ranking into the machine learning Algorithm for Gene Expression Data Analysis;SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R;short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles;a Comparative Study of Deep learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet;Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Study;Privacy Preserving machine learning for Malicious URL Detection;remote Attestation of Bare-Metal Microprocessor Software: A Formally Verified Security Monitor;Provenance and Privacy in ProSA: A Guided Interview on Privacy-Aware Provenance;placeholder Constraint Evaluation in Simulation Graphs;Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs;bridging Semantic Web and machine learning: First Results of a Systematic Mapping Study.

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11th Mining Humanistic Data Workshop, MHDW 2022, 7th 5G-Putting intelligence to the Network Edge Workshop, 5G-PINE 2022, 1st workshop on AI in Energy, Building and Micro-Grids, AIBMG 2022, 1st Workshop/Special Session on machine learning and Big Data in Health Care, ML@HC 2022 and 2nd Workshop on Artificial intelligence in Biomedical Engineering and Informatics, AIBEI 2022 held as parallel events of the 18th IFIP WG 12.5 international conference on Artificial intelligence Applications and Innovations, AIAI 2022

11th Mining Humanistic Data Workshop, MHDW 2022, 7th 5G-Putt...

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11th Mining Humanistic Data Workshop, MHDW 2022, 7th 5G-Putting intelligence to the Network Edge Workshop, 5G-PINE 2022, 1st workshop on AI in Energy, Building and Micro-Grids, AIBMG 2022, 1st Workshop/Special Session on machine learning and Big Data in Health Care, ML@HC 2022 and 2nd Workshop on Artificial intelligence in Biomedical Engineering and Informatics, AIBEI 2022 held as parallel events of the 18th IFIP WG 12.5 international conference on Artificial intelligence Applications and Innovations, AIAI 2022

ISBN: (纸本)9783031083402

the proceedings contain 35 papers. the special focus in this conference is on Mining Humanistic Data. the topics include: Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients;CAIPI in Practice: Towards Explainable Interactive Medical Image Classification;a Deep Q Network-Based Multi-connectivity Algorithm for Heterogeneous 4G/5G Cellular Systems;simulating Blockchain Consensus Protocols in Julia: Proof of Work vs Proof of Stake;Maximum Likelihood Estimators on MCMC Sampling Algorithms for Decision Making;employing Natural Language Processing Techniques for Online Job Vacancies Classification;Probabilistic Quantile Multi-step Forecasting of Energy Market Prices: A UK Case Study;proactive Buildings: A Prescriptive Maintenance Approach;performance Meta-analysis for Big-Data Univariate Auto-Imputation in the Building Sector;non-intrusive Diagnostics for Legacy Heat-Pump Performance Degradation;a 5G-Based Architecture for Localization Accuracy;anomaly Detection in Small-Scale Industrial and Household Appliances;an Innovative Software Platform for Efficient Energy, Environmental and Cost Planning in Buildings Retrofitting;deep learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images;An Intelligent Grammar-Based Platform for RNA H-type Pseudoknot Prediction;An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images;the Use of Robotics in Critical Use Cases: the 5G-ERA Project Solution;fundamental Features of the Smart5Grid Platform Towards Realizing 5G Implementation;experimentation Scenarios for machine learning-Based Resource Management;efficient Data Management and Interoperability Middleware in Business-Oriented Smart Port Use Cases;5G for the Support of Smart Power Grids: Millisecond Level Precise Distributed Generation Monitoring and Real-Time Wide Area Monitoring;monitoring Neurological Disorder Patients via Deep learning Based Facial Expressions An

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Comparative Study of machine learning and Deep learning Techniques for Cancer Disease Detection 5th

Comparative Study of Machine Learning and Deep Learning Tech...

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5th international conference on Data Science, machine learning and Applications

作者： Ala, Rajitha Nelson, Leema Jagdish, Muktha Venu, Vasantha Sandhya Chitkara Univ Inst Engn & Technol Rajpura Punjab India Vardhaman Coll Engn Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

Cancer is one of the most dreadful illnesses that plague mankind. the illness has a high mortality rate. there are numerous kinds of this illness. It is challenging to identify these diseases in their early stages. Recent studies have shown the significance of machine learning and Deep learning techniques in disease diagnosis. the most promising methods are presented in this study employing several machine learning and deep learning algorithms and their comparative study to determine the specific type of cancer sickness that a patient has. Additionally, it offers the most effective models for each disease type currently in use analyzed using Accuracy and AUC ROC metrics.

关键词： Cancer Disease detection machine learning Deep learning Artificial intelligence

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Effective Communication Using Generative AI 5th

Effective Communication Using Generative AI

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5th international conference on Data Science, machine learning and Applications

作者： Hegde, Nagaratna P. Vikkurty, Sireesha Sriperambuduri, Vinay Kumar Srikanth, Bingi Rao, Kakumanu BalaSubba Vasavi Coll Engn Dept CSE Hyderabad Telangana India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

Artificial intelligence (AI) has experienced substantial progress in recent times, resulting in the birth of ChatGPT, a cutting-edge conversational AI model. Fuelled by advanced learning techniques and natural language processing (NLP), ChatGPT has completely altered the way humans engage with machines. this research document presents a thorough examination of ChatGPT, delving into its framework, training approach, uses, and moral concerns. Additionally, it spotlights the potential obstacles and forthcoming directions for enhancing ChatGPT's capabilities [1], with the aim of achieving even more authentic and dependable conversational interactions.

关键词： ChatGPT Artificial intelligence Prompt Data Set Transformer Model OpenAI

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