Conference Information
LOD 2023: Annual Conference on Machine Learning, Optimization and Data science
https://lod2023.icas.cc/Submission Date: |
2023-06-10 Extended |
Notification Date: |
2023-07-10 |
Conference Date: |
2023-09-22 |
Location: |
Grasmere, Lake District, England |
Years: |
9 |
Viewed: 10227 Tracked: 2 Attend: 2
Call For Papers
Topics Machine Learning Active Learning Analogical learning methods Applications Approximate Inference Audio and Speech Processing Auditory Perception and Modelling Automated knowledge acquisition Bandit Algorithms Bayesian Non-parametrics Bayesian Theory Belief Propagation Bioinformatics Biologically inspired machine learning algorithms Brain Imaging Brain-computer Interfaces and Neural Prostheses Case-based methods Causality Classification, regression, recognition, and prediction Clustering Cognitive Science Collaborative Filtering and Recommender Systems Component Analysis (ICA, PCA, CCA, FLDA) Compressed Sensing and Sparse Reconstruction Computational Neural Models Computer Vision Connectionist networks Control Theory Data mining Deep Learning Density Estimation Design and diagnosis Ensemble Methods and Boosting Evolution-based machine learning methods Exact Inference Explanation-based learning Feature Learning Frequentist Statistics Game playing Game Theory and Computational Economics Gaussian Processes Graph Based Learning Graphical Models Hardware for Machine Learning Image Segmentation Inductive logic programming Industrial, financial, and scientific applications of all kinds Information Retrieval Information Theory Kernel Methods Knowledge Representation and Acquisition Language (Cognitive Science) Large Margin Methods Large Scale Learning and Big Data Learning decision and regression trees and rules Learning from instruction; Learning in integrated architectures Learning Theory MCMC Matrix Factorization Missing Data Model Selection and Structure Learning Motor Control Multi-Agent Systems Multi-strategy learning Multi-task and Transfer Learning Music Modelling and Analysis Natural Language Processing Natural Scene Statistics Neural Coding Neural Networks Neuroscience Nonlinear Dimension Reduction and Manifold Learning Object Recognition Online Learning Other Supervised Learning Methods Other Unsupervised Learning Methods Privacy, Anonymity, and Security Probabilistic Models and Methods Probabilistic networks and other statistical models Problem solving and planning Quantitative Finance and Econometrics Ranking and Preference Learning Reasoning and inference Regression Reinforcement Learning Algorithms Reinforcement Learning (Cognitive/Neuroscience) Relational Models Representation Learning Robotics Robotics and control Scientific discovery Semi-Supervised Learning Signal Processing Similarity and Distance Learning Social Networks Sparse Coding Sparsity and Feature Selection Spectral Methods Speech and Signal Processing Speech Recognition Statistical Learning Theory Stochastic Methods Structured Prediction Supervised Learning Support Vector Machines Systems Biology Text Mining Theoretical Neuroscience Time Series Analysis Topic Models Unsupervised learning methods Variational Inference Video, Motion and Tracking Vision and speech perception Visual Features Visual Perception Visualization of patterns in data Web Applications, Web mining and Internet Data Optimization Biological inspired Optimization Combinatorial optimization Convex Optimization Derivative-based Optimization Derivative-free Optimization Deterministic Global Optimization Discrete-Continuous Nonlinear Optimization Evolutionary Optimization Geometric Programming Global Optimization Integer Programming Financial Optimization Large Scale Optimization Local versus Global Optimization Metaheuristics and Benchmarking Mixed-integer Nonlinear Optimization Multiobjective Optimization Nonlinear Programming Nonlinear Optimization NP Complete Problems Optimal Control Other Optimization Methods Polynomial Optimization Quantum Optimization Randomized Optimization Routing Scheduling Smoothed Analysis Stochastic Optimization Data Science Advanced database and Web Applications Algorithms and Programming Techniques for Big Data Processing Algorithms and Systems for Big Data Search Anomaly and APT Detection in Very Large Scale Systems Anomaly Detection in Very Large Scale Systems Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment Big Data Analytics and Metrics Big Data Analytics in Government, Public Sector and Society in General Big Data Analytics in Small Business Enterprises Big Data Applications Big Data Architectures Big Data in Business Performance Management Big Data Models and Algorithms Big Data as a Service Big Data Open Platforms Big Data in Mobile and Pervasive Computing Big Data Foundations Big Data Industry Standards Big Data Infrastructure Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Big Data in Enterprise Management Models and Practices Big Data in Government Management Models and Practices Big Data in Smart Planet Solutions Big Data for Enterprise Transformation Big Data Protection, Integrity and Privacy Big Data Encryption Big Data Search and Mining Big Data Security & Privacy Big Data for Enterprise, Government and Society Big Data Economics Big Data for Business Model Innovation Big Data for Vertical Industries (including Government, Healthcare, and Environment) Big Data Search Architectures, Scalability and Efficiency Big Data Toolkits Cloud Computing Techniques for Big Data Cloud/Grid/Stream Computing for Big Data Cloud/Grid/Stream Data Mining- Big Velocity Data Collaborative Threat Detection using Big Data Analytics Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication Computational Modeling and Data Integration Crowdsourcing Data Acquisition, Integration, Cleaning, and Best Practices Data and Information Quality for Big Data Database Management Challenges: Architecture, Storage, User Interfaces Data Management for Mobile and Pervasive Computing Data Management in the Social Web Data Preservation Data Protection, Integrity and Privacy Standards and Policies Data Provenance Distributed, and Peer-to-peer Search Energy-efficient Computing for Big Data Experiences with Big Data Project Deployments Foundational Models for Big Data HCI Challenges for Big Data Security & Privacy Heterogeneous and Multi-structured Data Integration High Performance Cryptography High Performance/Parallel Computing Platforms for Big Data Interfaces to Database Systems and Analytics Software Systems Information Integration Intrusion Detection for Gigabit Networks Large-scale Recommendation Systems and Social Media Systems Large-scale Social Media and Recommendation Systems Link and Graph Mining Machine learning based on Big Data Management Issues of Social Network Big Data Mobility and Big Data Models and Languages for Big Data Protection Multimedia and Multi-structured Data- Big Variety Data New Computational Models for Big Data New Data Standards New Programming Models for Big Data beyond Hadoop/MapReduce, STORM Novel Data Model and Databases for Emerging Hardware Novel Theoretical Models for Big Data Privacy Preserving Big Data Analytics Privacy Threats of Big Data Programming Models & Environments for Cluster, Cloud, & Grid Computing to Support Big Data Real-life Case Studies of Value Creation through Big Data Analytics Representation Formats for Multimedia Big Data Scientific Applications of Big Data Security Applications of Big Data Semantic-based Data Mining and Data Pre-processing SME-centric Big Data Analytics Sociological Aspects of Big Data Privacy Social Web Search and Mining Software Systems to Support Big Data Computing Software Techniques and Architectures in Cloud/Grid/Stream Computing Spatiotemporal and Stream Data Management Threat Detection using Big Data Analytics Visualization Analytics for Big Data Visualizing Large Scale Security Data Web Search Distributed and Peer-to-peer Search
Last updated by Dou Sun in 2023-05-21
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