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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