yusuke1997/dblp-id-title huggingface dataset:
Human Computation as an Educational Opportunity
Data Mining in Stochastic Local Search
Optimization of Multi-target Tracking Within a Sensor Network Via Information Guided Clustering
People-to-People Reciprocal Recommenders
Mathematics of Electron Tomography
Data Mining Methods for Recommender Systems
Bio-Inspired Optimization of Type-2 Fuzzy Controllers
Pervasive Human Computing
Human-Based Evolutionary Computing
Metaheuristics for Medical Image Registration
Parzen Windows: Simplest Regularization Algorithm
eGovernment
Privacy in Location-Sensing Technologies
Large-Scale Inverse Problems in Imaging
Resource Scheduling in Data-Centric Systems
Interactive Crowds: Real-Time Crowdsourcing and Crowd Agents
Music Recommendation Systems: Techniques, Use Cases, and Challenges
Evolving Embedded Fuzzy Controllers
Network Intrusion Detection Systems in Data Centers
Theory of Local Search
Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction
Light Field Image Compression
Local Smoothing Neighborhood Filters
The Anatomy of Mobile Location-Based Recommender Systems
Distributed Intelligent Agent Algorithms in Human Computation
KR and Reasoning on the Semantic Web: Web-Scale Reasoning
Simulation-Based Optimization as a Service for Dynamic Data-Driven Applications Systems
A Dynamic Data-Driven Optimization Framework for Demand Side Management in Microgrids
Ontologies and the Semantic Web
Iterated Local Search
Fuzzy Controllers for Autonomous Mobile Robots
Fairness in Recommender Systems
Foundations in Human Computation
Knowledge Engineering via Human Computation
Cultural Evolution as Distributed Computation
Sonic Imaging
Panorama of Recommender Systems to Support Learning
Analyzing Your Location Data with Provable Privacy Guarantees
Energy Minimization Methods
Semantic Web Services
A Dynamic Data-Driven Stochastic State-Awareness Framework for the Next Generation of Bio-inspired Fly-by-Feel Aerospace Vehicles
Privacy in Social Collaboration
Variable Neighborhood Descent
Semantic Annotation and Retrieval: Web of Hypertext - RDFa and Microformats
Social Recommender Systems
Supervised Learning by Support Vector Machines
An Intelligent Swarm of Markovian Agents
Linear Inverse Problems
eScience
Constraint-Based Recommender Systems
Computational Intelligence in Industrial Applications
I/O and File Systems for Data-Intensive Applications
Maritime Container Terminal Problems
City Logistics
Variable Neighborhood Search
A Big Picture of Integrity Verification of Big Data in Cloud Computing
Location Privacy-Preserving Applications and Services
EM Algorithms
Mathematical Methods of Optical Coherence Tomography
Multimedia, Broadcasting, and eCulture
POPMUSIC
Philosophy and Modeling and Simulation
Recommender Systems in Industry: A Netflix Case Study
Power-Thermal Modeling and Control of Energy-Efficient Servers and Datacenters
Personality and Recommender Systems
Central Management of Datacenters
Restart Strategies
Development of Intelligent and Predictive Self-Healing Composite Structures Using Dynamic Data-Driven Applications Systems
Microlocal Analysis in Tomography
Energy-Efficient and High-Performance Processing of Large-Scale Parallel Applications in Data Centers
Knowledge Discovery in Bioinformatics
Fashion Recommender Systems
Aggregation Functions on [0, 1]
Systems for Privacy-Preserving Mobility Data Management
Fuzzy Relations: Past, Present, and Future
Group Recommender Systems: Beyond Preference Aggregation
Big Data, Dopamine and Privacy by Design
Fuzzy Control
Splines and Multiresolution Analysis
Imaging in Random Media
Explaining Recommendations: Design and Evaluation
Privacy of Connected Vehicles
Social Informatics: Using Big Data to Understand Social Behavior
Electrical Impedance Tomography
Regularization Methods for Ill-Posed Problems
Fundamental Collective Behaviors in Swarm Robotics
Source Factors in Recommender System Credibility Evaluation
Graph Coloring and Recombination
The Impact of Human Computation
Variational Methods in Shape Analysis
Memetic and Hybrid Evolutionary Algorithms
F-Transform
Handbook of Dynamic Data Driven Applications Systems
Advances in Collaborative Filtering
Photoacoustic and Thermoacoustic Tomography: Image Formation Principles
Parallel Evolutionary Combinatorial Optimization
Data Summarization Techniques for Big Data - A Survey
Synthetic Aperture Radar Imaging
Collaboration, Reputation and Recommender Systems in Social Web Search
Patterns of Connection
Semantics and Content-Based Recommendations
Augmented Reality Interfaces in Human Computation Systems
Pattern Recognition with Modular Neural Networks and Type-2 Fuzzy Logic
Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems
Future Trends
Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Process
Organismic Computing
Diversity and Equity Models
The Multi-plant Lot Sizing Problem with Multiple Periods and Items
Integration of Metaheuristics and Constraint Programming
Dynamic Data Driven Application Systems for Identification of Biomarkers in DNA Methylation
From Human Computation to the Global Brain: The Self-Organization of Distributed Intelligence
Duality and Convex Programming
Expansion Methods
KR and Reasoning on the Semantic Web: RIF
Foundations of Rough Sets
Human Cumulative Cultural Evolution as a Form of Distributed Computation
Selective and Private Access to Outsourced Data Centers
Human Computation: A Manifesto
Rule Induction from Rough Approximations
Multimedia Recommender Systems: Algorithms and Challenges
DDDAS: The Way Forward
Human Computation-Enabled Network Analysis for a Systemic Credit Risk Rating
Constructing Crowdsourced Workflows
Theoretical Methods in Machine Learning
History of Simulation
Privacy in Geospatial Applications and Location-Based Social Networks
Approximate Local Utility Design for Potential Game Approach to Cooperative Sensor Network Planning
Optical Interconnects for Data Center Networks
Power and Thermal Efficient Numerical Processing
Parallel Evolutionary Algorithms
Ant Colonies as a Model of Human Computation
Statistical Methods in Imaging
Evolving Connectionist Systems: From Neuro-Fuzzy-, to Spiking- and Neuro-Genetic
Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics
Sampling Methods
Solving Wicked Problems
Scalable Network Communication Using Unreliable RDMA
An Out-of-Core Task-based Middleware for Data-Intensive Scientific Computing
Food Recommender Systems
Auditing for Data Integrity and Reliability in Cloud Storage
Trends, Desirable Features, and Challenges
Biased Random-Key Genetic Progamming
Human Computation in the Wild
Quality-of-Service in Data Center Stream Processing for Smart City Applications
The Origin of Fuzzy Extensions
Semantic Annotations and Retrieval: Manual, Semiautomatic, and Automatic Generation
On Scheduling in Distributed Transactional Memory: Techniques and Tradeoffs
Cloud Resource Pricing Under Tenant Rationality
Innovation via Human Computation
Synthesis and Taxonomy of Human Computation
Reliability and Quality Assurance of M&S
Modeling Humans as Computing Resources
An Algebraic Model of Reasoning to Support Zadeh's CWW
Metaheuristic Algorithms and Tree Decomposition
Adaptive and Multilevel Metaheuristics
Natural Language Processing for Recommender Systems
Collective Search as Human Computation
Fuzzy Clustering - Basic Ideas and Overview
Infrastructure and Architecture for Human Computer Intelligent Collaboration
Collective Action and Human Computation - From Crowd-Workers to Social Collectives
Dynamic Data Driven Application Systems (DDDAS) for Multimedia Content Analysis
Fuzzy Rule-Based Systems
Hardware Approaches to Transactional Memory in Chip Multiprocessors
World's Best Universities and Personalized Rankings
Design of a Dynamic Data-Driven System for Multispectral Video Processing
Adversarial Recommender Systems: Attack, Defense, and Advances
The "Human Sensor: " Bridging Between Human Data and Services
Supporting Social Science and Management Areas
Balancing Human and Machine Contributions in Human Computation Systems
Supporting Science Areas
Trees and Forests
Handbook of Human Computation
Aerodynamic Design with Physics-Based Surrogates
Providing Green Services in HPC Data Centers: A Methodology Based on Energy Estimation
Novelty and Diversity in Recommender Systems
CoolEmAll: Models and Tools for Planning and Operating Energy Efficient Data Centres
Image Segmentation with Shape Priors: Explicit Versus Implicit Representations
Location Privacy in Spatial Crowdsourcing
Springer Handbook of Computational Intelligence
Cross-Domain Recommender Systems
Data-Driven Prediction of Confidence for EVAR in Time-Varying Datasets
Multi-Criteria Recommender Systems
Generalized Rough Sets
Selected String Problems
The Wisdom of Crowds: Methods of Human Judgement Aggregation
Group Recommender Systems: Aggregation, Satisfaction and Group Attributes
Techniques to Achieve Energy Proportionality in Data Centers: A Survey
Ant Colony Optimization for the Minimum-Weight Rooted Arborescence Problem
Human Computation in Citizen Science
Scheduling Heuristics
Privacy Protection in Location-Based Services: A Survey
Application of Fuzzy Techniques to Autonomous Robots
Handbook on Data Centers
Modeling and Understanding Intrinsic Characteristics of Human Mobility
Honey Bee Social Foraging Algorithm for Resource Allocation
Opportunistic Databank: A context Aware on-the-fly Data Center for Mobile Networks
Gabor Analysis for Imaging
Participating in Online Citizen Science: Motivations as the Basis for User Types and Trajectories
Data Management: State-of-the-Practice at Open-Science Data Centers
Human Computation for Information Retrieval
Swarm Intelligence in Optimization and Robotics
Body of Knowledge for Modeling and Simulation: A Handbook by the Society for Modeling and Simulation International
Parallel Multiobjective Evolutionary Algorithms
Handbook of Semantic Web Technologies
Multiobjective Genetic Fuzzy Systems
Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping
Wave Phenomena
Rough Set Methodology for Decision Aiding
Smart Data Center
Artificial Neural Network Models
Human Computation and Conflict
Multiagent Environment Design for Pervasive Human-ICT Systems: The SAPERE Approach
Design and Evaluation of Cross-Domain Recommender Systems
Designing Systems with Homo Ludens in the Loop
Semantic Web Search Engines
Robust Collaborative Recommendation
Tomography
Modeling and Optimization of Machining Problems
Privacy in Data Centers: A Survey of Attacks and Countermeasures
Estimation of Distribution Algorithms
Online Resource Management for Carbon-Neutral Cloud Computing
Numerical Methods and Applications in Total Variation Image Restoration
Thermal Modeling and Management of Storage Systems in Data Centers
Building Scalable Software for Data Centers: An Approach to Distributed Computing at Enterprise Level
Mathematics of Photoacoustic and Thermoacoustic Tomography
Ant Colony Optimization: A Component-Wise Overview
Human Decision Making and Recommender Systems
Semantic Annotation and Retrieval: RDF
Cloud Storage over Multiple Data Centers
The Role of Human Computation in Sustainability, or, Social Progress Is Made of Fossil Fuels
Metaheuristics for Natural Gas Pipeline Networks
Value and Impact of Recommender Systems
Matheuristics
Particle Swarm Optimization for the Vehicle Routing Problem: A Survey and a Comparative Analysis
Privacy by Design for Mobility Data Analytics
TCP Congestion Control in Data Center Networks
Neighborhood Filters and the Recovery of 3D Information
Optical Imaging
The Psychopathology of Information Processing Systems
Risks and Rewards of Crowdsourcing Marketplaces
Location-Based Games for Citizen Computation
Iterated Greedy
Computational Analysis of Collective Behaviors via Agent-Based Modeling
Neuroengineering
Deep and Modular Neural Networks
Conversational Computation
Semantic Annotation and Retrieval: Web of Data
Network Virtualization in Data Centers: A Data Plane Perspective
Fuzzy-Rough Hybridization
Probabilistic Modeling of Swarming Systems
Fuzzy Linear Programming and Duality
Semantics-Aware Content-Based Recommender Systems
The Maximum Clique and Vertex Coloring
Dynamic Data-Driven Approach for Unmanned Aircraft Systems and Aeroelastic Response Analysis
CyLog/Crowd4U: A Case Study of a Computing Platform for Cybernetic Dataspaces
Basics of Fuzzy Sets
Service Oriented Protocols for Human Computation
Introduction to Techniques and Modalities
Shape Spaces
Simulation as Experimentation
Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems
Recommender Systems: Techniques, Applications, and Challenges
Many-Valued and Fuzzy Logics
Multistakeholder Recommender Systems
Maturity and Accreditation
Human Computation and Divided Labor - The Precursors of Modern Crowdsourcing
Music Recommender Systems
Starlet Transform in Astronomical Data Processing
Activation Cascades in Structured Populations
Inverse Scattering
Basic Solutions of Fuzzy Coalitional Games
A Robust Evolving Cloud-Based Controller
Interpretability of Fuzzy Systems: Current Research Trends and Prospects
Guided Local Search
KR and Reasoning on the Semantic Web: OWL
Introduction to the Semantic Web Technologies
Indicator-Based Selection
Fuzzy Implications: Past, Present, and Future
Stochastic Modeling of Social Behavior on Digg
Synchrony in Social Groups and Its Benefits
Handbook of Mobile Data Privacy
Storing the Semantic Web: Repositories
Efficient Hardware-Supported Synchronization Mechanisms for Manycores
Human Computation and Collaboration: Identifying Unique Social Processes in Virtual Contexts
Supporting Computer Domains
Dependability-Oriented Resource Management Schemes for Cloud Computing Data Centers
Interval Type-2 Fuzzy PID Controllers
On Compression of Machine-Derived Context Sets for Fusion of Multi-modal Sensor Data
Computational Models of Cognitive and Motor Control
Linear Layout Problems
Theoretical Analysis of Stochastic Search Algorithms
Cultivating Collective Intelligence in Online Groups
Multi-Objective Evolutionary Algorithms
Human-Computer Interaction Issues in Human Computation
Semantic Technology Adoption: A Business Perspective
Non-linear Image Registration
The Semantic Web and the Next Generation of Human Computation
Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness
Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study
Evaluating Recommender Systems with User Experiments
A Comprehensive Survey of Neighborhood-Based Recommendation Methods
Probabilistic Modeling in Machine Learning
Dynamic Sensor-Actor Interactions for Path-Planning in a Threat Field
Preference-Based Multiobjective Particle Swarm Optimization for Airfoil Design
Context-Aware Recommender Systems: From Foundations to Recent Developments
Privacy-Preserving Release of Spatio-Temporal Density
Introduction to Security and Policy Section
Bio-Inspired Optimization Methods
Game Theory and Incentives in Human Computation Systems
Semantic Web Architecture
Energy-Aware Algorithms for Task Graph Scheduling, Replica Placement and Checkpoint Strategies
EM Algorithms from a Non-stochastic Perspective
Synergies of Soft Computing and M&S
Hyper-heuristics
Differential Methods for Multi-dimensional Visual Data Analysis
Energy Efficiency in HPC Data Centers: Latest Advances to Build the Path to Exascale
eBusiness
Context-Adaptive Privacy Mechanisms
Evolutionary Computation and Constraint Satisfaction
C2Hunter: Detection and Mitigation of Covert Channels in Data Centers
Distance Measures and Applications to Multimodal Variational Imaging
Algorithms: Introduction
Optimization Problems, Models, and Heuristics in Wireless Sensor Networks
Simulation as Experience to Enhance Three Types of Skills
Transforming Wildfire Detection and Prediction Using New and Underused Sensor and Data Sources Integrated with Modeling
Probabilistic Rough Sets
Design of Representations and Search Operators
Computational Neuroscience - Biophysical Modeling of Neural Systems
Core Research Areas
Iterative Solution Methods
Solving Phase Equilibrium Problems by Means of Avoidance-Based Multiobjectivization
Introduction to Dynamic Data Driven Applications Systems
Multiscale DDDAS Framework for Damage Prediction in Aerospace Composite Structures
Handbook of Heuristics
Privacy and Security Issues in DDDAS Systems
Supporting Engineering Areas
Exploitation in Human Computation Systems
Querying the Semantic Web: SPARQL
Embodied Intelligence
Possibility Theory and Its Applications: Where Do We Stand?
Human Computation for Disaster Response
Particle Swarm Methods
Routing Techniques in Data Center Networks
Soft Computing in Database and Information Management
Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration
Mathematical Methods in PET and SPECT Imaging
Parallel Metaheuristic Search
Beyond Explaining Single Item Recommendations
Building Blocks for Collective Problem Solving
Recommender Systems: Introduction and Challenges
How to Create Generalizable Results
Software Monitoring in Data Centers
Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations
Data Center Modeling and Simulation Using OMNeT++
Psychosocial and Cultural Modeling in Human Computation Systems: A Gamification Approach
Information and Computation
Handbook of Mathematical Methods in Imaging
Applying Security Lessons Learned to Human Computation Solving Systems
Photometric Stereopsis for 3D Reconstruction of Space Objects
Privacy Aspects of Recommender Systems
Realizing Accelerated Cost-Effective Distributed RAID
Labor Standards
Parallels in Neural and Human Communication Networks
Individual and Group Decision Making and Recommender Systems
A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment
Social Knowledge Collection
Human Computation in Electronic Literature
Aggregation Functions for Recommender Systems
Optical Data Center Networks: Architecture, Performance, and Energy Efficiency
Reconfigurable Robots
Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities
Simulation Games
Human Computation for Organizations: Socializing Business Process Management
Collective Manipulation and Construction
Introduction to Mobility Data Privacy
Multi-start Methods
Scatter Search
Context-Aware Recommender Systems
Many-Objective Problems: Challenges and Methods
Enterprise Modeling and Simulation
DDDAS for Attack Detection and Isolation of Control Systems
Monitoring of Data Centers using Wireless Sensor Networks
Evolutionary Algorithms for the Inverse Protein Folding Problem
Item Recommendation from Implicit Feedback
Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods
A Computational Steering Framework for Large-Scale Composite Structures
Knowledge Management in Large Organizations
Total Variation in Imaging
Search and Discovery Through Human Computation
Social Semantic Web
Monotone Measures-Based Integrals
Methods for Engaging and Evaluating Users of Human Computation Systems
Algorithms for Social Recommendation
Stochastic Local Search Algorithms: An Overview
The Virtuous Circle of the Quantified Self: A Human Computational Approach to Improved Health Outcomes
Modeling and Simulation of Data Center Networks
Packet Classification on Multi-core Platforms
Level Set Methods for Structural Inversion and Image Reconstruction
Cognitive Architectures and Agents
Epistemological Issues in Human Computation
Cutting and Packing
M&S Bok Core Areas and the Big Picture
Superorganismic Behavior via Human Computation
Random-Key Genetic Algorithms
Gasoline Blending and Distribution Scheduling: An MILP Model
Extension of the Fundamental Theorem of Linear Programming
Network Location: Covering Problems
Adaptive Simulated Annealing and its Application to Protein Folding
MINLP: Mass and Heat Exchanger Networks
Rosen's Method, Global Convergence, and Powell's Conjecture
Logconcave Measures, Logconvexity
Operations Research and Financial Markets
Maximum Entropy Principle: Image Reconstruction
Hemivariational Inequalities: Static Problems
Decision Support Systems with Multiple Criteria
Quasidifferentiable Optimization: Exact Penalty Methods
Warehouse Location Problem
Asynchronous Distributed Optimization Algorithms
Potential Reduction Methods for Linear Programming
Second Order Optimality Conditions for Nonlinear Optimization
Checklist Paradigm Semantics for Fuzzy Logics
Minimax Game Tree Searching
Duality for Semidefinite Programming
Global Optimization in Generalized Geometric Programming
Minimum Cost Flow Problem
Multi-objective Fractional Programming Problems
Decomposition Algorithms for the Solution of Multistage Mean-Variance Optimization Problems
Maximum Likelihood Detection via Semidefinite Programming
Hamilton-Jacobi-Bellman Equation
LP Strategy for Interval-Newton Method in Deterministic Global Optimization
Hemivariational Inequalities: Eigenvalue Problems
General Routing Problem
Nonlocal Sensitivity Analysis with Automatic Differentiation
Integrated Planning and Scheduling
LCP: Pardalos-Rosen Mixed Integer Formulation
Duality Theory: Biduality in Nonconvex Optimization
Approximation of Multivariate Probability Integrals
Automatic Differentiation: Point and Interval Taylor Operators
Frequency Assignment Problem
Global Terrain Methods
Metropolis, Nicholas Constantine
Railroad Crew Scheduling
Lipschitzian Operators in Best Approximation by Bounded or Continuous Functions
Shortest Path Tree Algorithms
Stochastic Programming with Simple Integer Recourse
Global Optimization: Interval Analysis and Balanced Interval Arithmetic
Simple Recourse Problem: Dual Method
Successive Quadratic Programming: Full Space Methods
Performance Profiles of Conjugate-Gradient Algorithms for Unconstrained Optimization
Stochastic Quasigradient Methods in Minimax Problems
Fractional Combinatorial Optimization
Hemivariational Inequalities: Applications in Mechanics
Global Equilibrium Search
Greedy Randomized Adaptive Search Procedures
Linear Programming Models for Classification
Simplicial Decomposition
Numerical Methods for Unary Optimization
Interval Analysis: Intermediate Terms
Protein Loop Structure Prediction Methods
Disjunctive Programming
Fractional Zero-One Programming
Practical Augmented Lagrangian Methods
Packet Annealing
SSC Minimization Algorithms for Nonsmooth and Stochastic Optimization
Nondifferentiable Optimization: Parametric Programming
High-order Necessary Conditions for Optimality for Abnormal Points
ABS Algorithms for Linear Equations and Linear Least Squares
Interval Analysis: Nondifferentiable Problems
Fourier-Motzkin Elimination Method
Auction Algorithms
Integer Linear Programs for Routing and Protection Problems in Optical Networks
Broyden Family of Methods and the BFGS Update
Supply Chain Performance Measurement
MINLP: Global Optimization with alphaBB
Derivative-Free Methods for Non-smooth Optimization
Pontryagin Maximum Principle
Optimal Solvent Design Approaches
Infinite Horizon Control and Dynamic Games
Simulated Annealing Methods in Protein Folding
Generalized Total Least Squares
Mixed Integer Programming/Constraint Programming Hybrid Methods
Stochastic Optimal Stopping: Numerical Methods
Emergency Evacuation, Optimization Modeling
Interval Newton Methods
Multi-objective Mixed Integer Programming
Nonoriented Multicommodity Flow Problems
Kantorovich, Leonid Vitalyevich
Optimal Sensor Scheduling
Single Facility Location: Multi-objective Rectilinear Distance Location
Mixed Integer Classification Problems
Interval Fixed Point Theory
Interval Analysis for Optimization of Dynamical Systems
Combinatorial Optimization Algorithms in Resource Allocation Problems
Multiparametric Mixed Integer Linear Programming
Semi-infinite Programming, Semidefinite Programming and Perfect Duality
Equivalence Between Nonlinear Complementarity Problem and Fixed Point Problem
Conjugate-Gradient Methods
Global Optimization Using Space Filling
Bilinear Programming
Leibniz, Gottfried Wilhelm
Spatial Price Equilibrium
Deterministic and Probabilistic Optimization Models for Data Classification
Metaheuristic Algorithms for the Vehicle Routing Problem