yusuke1997/dblp-id-title huggingface dataset:
On the relation among various security models for certificateless cryptography
Dynamic attribute-based group signature with verifier-local revocation and backward unlinkability in the standard model
Session-StateReveal is stronger than eCKs EphemeralKeyReveal: using automatic analysis to attack the NAXOS protocol
Chosen-prefix collisions for MD5 and applications
Designing attacks on SIP call set-up
A reduction-based proof for authentication and session key security in three-party Kerberos
A pairing-free ID-based group key agreement protocol using elliptic curve cryptography for secure group communication
On reusing ephemeral keys in Diffie-Hellman key agreement protocols
Computing the optimal ate pairing over elliptic curves with embedding degrees 54 and 48 at the 256-bit security level
Fortifying cloud-based healthcare: a link load balancer infused with NTRU, honey, and proxy algorithms for robust identity and access management
Authority revocation scheme for MA-CP-ABE-based secure communication in IoMT ecosystem
Practical hybrid (hierarchical) identity-based encryption schemes based on the decisional bilinear Diffie-Hellman assumption
Securing group key exchange against strong corruptions and key registration attacks
Secure computation of functionalities based on Hamming distance and its application to computing document similarity
Anonymous RFID authentication supporting constant-cost key-lookup against active adversaries
Cryptanalysis of Markle-Hellman knapsack cipher using nature inspired algorithms
Enabling compliant and inclusive financial services using a rule-language
Homomorphic encryption and secure comparison
A correction to 'efficient and secure comparison for on-line auctions'
Trustworthy public randomness with sloth, unicorn, and trx
A tapestry of identity-based encryption: practical frameworks compared
Attribute-based fully homomorphic encryption with a bounded number of inputs
PPADMA-ABE: a novel privacy-preserving and auditable attribute-based encryption under dynamic multi-authority setting
Attribute-based encryption without key cloning
A novel architecture to make anonymous blind signature-based e-coins more efficient and applicable
Encrypted integer division and secure comparison
IBE and function-private IBE under linear assumptions with shorter ciphertexts and private keys, and extensions
Perfectly reliable and secure message transmission tolerating mobile adversary
A privacy-enhanced access log management mechanism in SSO systems from nominative signatures
Solving a 112-bit prime elliptic curve discrete logarithm problem on game consoles using sloppy reduction
Towards Adaptive and Scalable Context Aware Middleware
Towards Automated SLA Management for Service Delivery in SOA-based Environments
A Multi-User Ad-Hoc Resource Manager for Public Urban Areas
A Model Driven Engineering Approach Toward User Interfaces Adaptation
Compensating Resource Fluctuations by Means of Evolvable Hardware: The Run-Time Reconfigurable Functional Unit Row Classifier Architecture
Real Time in Self-Adaptability of Web Services to the Context based on Workflow: Ambulance Trajectory Case Study
Efficient and Fine-Grained VMM-Level Packet Filtering for Self-Protection
Resilient and Timely Event Dissemination in Publish/Subscribe Middleware
The Context-Security Nexus in Ubiquitous Computing
A Novel Prototyping and Evaluation Framework for NoC-Based MPSoC
Dual Monitoring Communication for Self-Aware Network-on-Chip: Architecture and Case Study
OPEN Platform for Migration of Interactive Services: Architecture and Evaluation
Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study
A Polynomial Algorithm for Diagnosability Analysis of Discrete Event Systems
Adaptive and Resilient Solutions for Energy Savings of Mobile Access Networks
Beernet: Building Self-Managing Decentralized Systems with Replicated Transactional Storage
Design and Evaluation of an Autonomous Load Balancing System for Mobile Data Stream Processing Based On a Data Centric Publish Subscribe Approach
Multi-Level Resilience: Reconciling Robustness, Recovery and Adaptability from a Network Science Perspective
Peer-to-Peer Orchestration of Web Mashups
Management Scheme for Data Collection within Wireless Sensor Networks
Multichannel Modality in Displaying Information
Mobility Management in Publish/Subscribe Middleware
An Acoustic-Visual Collaborative Hybrid Architecture for Wireless Multimedia Sensor Networks
Self-Adaptable Discovery and Composition of Services Based on the Semantic CompAA Approach
Technological and Educational Challenges of Resilient Computing
A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data
A Cross-Layer QoE-Based Approach for Event-Based Multi-Tier Wireless Multimedia Sensor Networks
Exploration of Temperature-Aware Placement Approaches in 2D and 3D Stacked Systems
Adaptive Modeling of Routing Algorithms for Wireless Sensor Networks
Agents Network for Automatic Safety Check in Constructing Sites
A Variable Context Model for Adaptable Service-Based Applications
Multi-View Human Body Pose Estimation with CUDA-PSO
Exploration of Temperature Constraints for Thermal-Aware Mapping of 3D Networks-on-Chip
Duty Cycle Measurement Techniques for Adaptive and Resilient Autonomic Systems
Public and Private Partner Selection in Battle of Sexes
Resource Discovery Service while Minimizing Maintenance Overhead in Hierarchical DHT Systems
Towards Spike based Models of Visual Attention in the Brain
IoT-IMS Communication Platform for Future Internet
MoteIST: A Modular Low-Power Approach to Wireless Sensor Networks Nodes
A Discrete Event-Driven Model for Electric Vehicles Predictive Charging
Applying Probabilistic Adaptation to Improve the Efficiency of Intra-Query Load Balancing
A Machine Learning Based Meta-Scheduler for Multi-Core Processors
A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems
Web Distributed Computing Systems Implementation and Modeling
How to Trust: A Model for Trust Decision Making
Design and Evaluation of Techniques for Resilience and Survivability of the Routing Node
Caching Based Transport Optimization for Wireless Multimedia Sensor Networks
Performance Degradation Detection of Virtual Machines Via Passive Measurement and Machine Learning
Implementation of FastSLAM2.0 on an Embedded System and HIL Validation using Different Sensors Data
Efficient Adaptation Decision Making Algorithms for Context-Aware Applications
Adaptation and Dependability and Their Key Role in Modern Software Engineering
Ontology-Based Competence Management in Pharmacy
COADA: Leveraging Dynamic Coalition Peer-to-Peer Network for Adaptive Content Download of Cellular Users
Automatic Machine Code Generation for a Transport Triggered Architecture using Cartesian Genetic Programming
Autonomic QoS Optimization of Real-Time Internet Audio Using Loss Prediction and Stochastic Control
A Context-Aware Mobility Indoor Positioning System
Self-Adapting Event Configuration in Ubiquitous Wireless Sensor Networks
Bigraphical Reactive Systems Based Approaches for Modeling Context-Aware Systems
The Semantics of Project Knowledge Management
An Approach to Adaptive Dependability Assessment in Dynamic and Evolving Connected Systems
On the Privacy and Utility of Anonymized Social Networks
An Architecture-Based Adaptation Framework for Soft Real-Time Applications
Benefits of Cooperation in Multiplayer Coupon Collectors' Games
Abstract Fault Tolerance: A Model-Theoretic Approach to Fault Tolerance and Fault Compensation without Error Correction
Design and Analysis of a Novel Hybrid Wireless Mesh Network Routing Protocol
Dynamic Genetic Algorithms with Hyper-Mutation Schemes for Dynamic Shortest Path Routing Problem in Mobile Ad Hoc Networks
Investigating Power Reduction for NoC-Based Spiking Neural Network Platforms using Channel Encoding
Optimizing User Quality of Experience through Overlay Routing, Bandwidth Management and Dynamic Trans-Coding
A Recovery-Oriented Approach for Software Fault Diagnosis in Complex Critical Systems
Systematic Design Principles for Cost-Effective Hard Constraint Management in Dynamic Nonlinear Systems
Smart Ultra Low Power Energy Harvesting System
Dynamic Reconfiguration of Middleware for Ubiquitous Computing
User Models for Adaptive Information Retrieval on the Web: Towards an Interoperable and Semantic Model
Framework to Enable Scalable and Distributed Application Development: Lessons Learned While Developing the Opportunistic Seamless Localization System
Model-Driven Approaches to Service Composition
Non-Intrusive Autonomic Approach with Self-Management Policies Applied to Legacy Infrastructures for Performance Improvements
Anonymous and Fair Micropayment Scheme with Protection against Coupon Theft
Low-Complexity Encoding in Block-Based Hybrid Video Codecs by Moving Motion Estimation to Decoder Side
A Generic Adaptation Framework for Mobile Communication
Towards Availability: A Dynamic Scaling Mechanism for Cloud Applications
Impact of Cross-Layer Adaptations of Mobile IP on IEEE 802.11 Networks on Video Streaming
ROCRSSI++: An Efficient Localization Algorithm for Wireless Sensor Networks
An OMA DM Based Framework for Updating Modulation Module for Mobile Devices
Run-Time Compositional Software Platform for Autonomous NXT Robots
Various Extensions for the Ambient OSGi Framework
Autonomic Workflow Activities: The AWARD Framework
Evaluating User Interface Adaptation using the Context of Use
A MDSD Approach for Adaptable Service Oriented Systems based on Domain Specific Language Engineering
Optimization of WS-BPEL Workflows through Business Process Re-Engineering Patterns
Mixing Workflows and Components to Support Evolving Services
Performance Analysis of an OCSP-Based Authentication Protocol for VANETs
A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability
A Comparative Performance Study of Ad Hoc Routing Protocols to Improve the Route Discovery Process of AODV
Protection through Intelligent and Multimedia Captchas
Timely Autonomic Adaptation of Publish/Subscribe Middleware in Dynamic Environments
Evaluation Framework for Adaptive Multi-Path Inter-Domain Routing Protocols
RELADO: RELiable and ADaptive Opportunistic Routing Protocol for Wireless Mesh Networks
A Virtual Machine Placement and Reconfiguration Framework for Cloud Computing Platforms
A Resource-Aware Dynamic Load-Balancing Parallelization Algorithm in a Farmer-Worker Environment
iCAAS: An Interoperable and Configurable Architecture for Accessing Sensor Networks
A Fully Reconfigurable Approach to Emergency Management
Analysis of the Join Performance in Vertically Distributed Cloud Databases
A Distributed Monitoring Framework for Opportunistic Communication Systems An Experimental Approach
Cluster Based Networks-on-Chip: An Efficient and Fault-Tolerant Architecture using Network Interface Assisted Routing
Load-Balanced Multiple Gateway Enabled Wireless Mesh Network for Applications in Emergency and Disaster Recovery
Stress Diffusion through Complex Networks
Spatial Multiplexing: Solving Information Bottlenecks in Real Neural Systems and the Origin of Brain Rhythms
Services Derivation from Business Process: A PSO-based Multi-Objective Approach
Smart data augmentation: One equation is all you need
Visualizing discrepancies from nonlinear models and computer experiments
Penalized regression and risk prediction in genome-wide association studies
The spatially conscious machine learning model
A family of large margin linear classifiers and its application in dynamic environments
Use and communication of probabilistic forecasts
Statistical thinking and practice
Model selection procedure for high-dimensional data
Chemogenomics: Looking at biology through the lens of chemistry
A treeless absolutely random forest with closed-form estimators of expected proximities
Online training on a budget of support vector machines using twin prototypes
Feature screening of ultrahigh dimensional longitudinal data based on the C-statistic
Informative priors in Bayesian inference and computation
Predicting the similarity search performance of fingerprints and their combination with molecular property descriptors using probabilistic and information theoretic modeling
Randomized algorithms for tensor response regression
Effective graph classification based on topological and label attributes
Variational Autoencoder With Gamma Mixture for Clustering High-Dimensional Right-Skewed Data
Using spatiotemporal relational random forests to improve our understanding of severe weather processes
Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem
Noise-Augmented ℓ 0 Regularization of Tensor Regression With Tucker Decomposition
Computational Improvements to the Kernel k$$ k $$-Means Clustering Algorithm
A tree-based gene-environment interaction analysis with rare features
Dynamic hierarchical models for monetary transmission
Efficient importance sampling imputation algorithms for quantile and composite quantile regression
Predicting simulation parameters of biological systems using a Gaussian process model
Nonparametric clustering for image segmentation
Regularized partial least squares with an application to NMR spectroscopy
Categorical classifiers in multiclass classification with imbalanced datasets
Prior effective sample size for exponential family distributions with multiple parameters
SMT: Sparse multivariate tree
A Homogeneity Test for Ordinal Receiver Operating Characteristic Regression With Application to Facial Recognition Accuracy Assessment
Survival prediction and variable selection with simultaneous shrinkage and grouping priors
Multi-scale affinities with missing data: Estimation and applications
Data-driven stochastic model for quantifying the interplay between amyloid-beta and calcium levels in Alzheimer's disease
Nonlinear joint latent variable models and integrative tumor subtype discovery
To catch a fake: Curbing deceptive Yelp ratings and venues
Random forest missing data algorithms
Bayesian survival trees for clustered observations, applied to tooth prognosis
A sparse Gaussian sigmoid basis function approximation of hyperspectral data for detection of solids
A compression-based distance measure for texture
Approximation error of Fourier neural networks
Editorial to the Special Issue of Selected Papers of SDM 2013
Summary Report of SDM 2008 Panel: Perspectives on Research Directions and Trends for the Data Mining Research Community
Multiple Response Regression for Gaussian Mixture Models with Known Labels
Sample selection bias in evaluation of prediction performance of causal models
Special issue on the best papers of SDM'10
Expert-in-the-loop design of integral nuclear data experiments
L q regularization for fair artificial intelligence robust to covariate shift
A tutorial on generative adversarial networks with application to classification of imbalanced data
Clustering based on periodicity in high-throughput time course data
Analysis of monday night football viewership
Construction of association networks from communication in teams working on complex projects
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation
Discovering an active subspace in a single-diode solar cell model
Sparse linear discriminant analysis in structured covariates space
Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity
Exploiting associations between word clusters and document classes for cross-domain text categorization
How to deal with malicious users in privacy-preserving distributed data mining
Prize Winning Papers on Statistical Learning and Data Mining
Distance-Based Analysis of Variance: Approximate Inference
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem
Wedge sampling for computing clustering coefficients and triangle counts on large graphs
Minimizing the variance of cluster mixture models for clustering uncertain objects
Feature subspace learning based on local point processes patterns
Whole-volume clustering of time series data from zebrafish brain calcium images via mixture modeling
An efficient k-modes algorithm for clustering categorical datasets
Time-dependent global sensitivity analysis with active subspaces for a lithium ion battery model
Mining abnormal patterns from heterogeneous time-series with irrelevant features for fault event detection
Node Centrality Inference via Hypothesis Testing
Prequential analysis of complex data with adaptive model reselection
Bag of little bootstraps for massive and distributed longitudinal data
Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering
Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability
Modeling lightcurves for improved classification of astronomical objects
It takes two to tango: Exploring social tie development with both online and offline interactions
A hybrid deep learning architecture for classification of microscopic damage on National Ignition Facility laser optics
Principal component analysis for interval-valued observations
Multicategory composite least squares classifiers
A Perspective on Cluster Analysis
Survival trees based on heterogeneity in time-to-event and censoring distributions using parameter instability test
Discrimination of psychotropic drugs over-consumers using a threshold exceedance based approach
Nearest-neighbors medians clustering
Special issue of statistical analysis and data mining
Discriminative frequent subgraph mining with optimality guarantees
An Input Variable Selection Method for the Artificial Neural Network of Shear Stiffness of Worsted Fabrics
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression
Roughly balanced bagging for imbalanced data
FS 3 : A sampling based method for top- k frequent subgraph mining
An empirical Bayes approach for learning directed acyclic graph using MCMC algorithm
Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments
Parameter inference with deep jointly informed neural networks
Significant motifs in time series
A statistical learning approach for the design of polycrystalline materials
Introduction to Volume 5 Issue 2
An approach to characterizing spatial aspects of image system blur
Forest resampling for distributed sequential Monte Carlo
Statistical analysis for nuclear forensics experiments
Content-boosted matrix factorization techniques for recommender systems
A new parametric approach to gender gap with application to EUSILC data in Poland and Italy
Dissimilarity measure for ranking data via mixture of copulae
Unsupervised segmentation of conversational transcripts
Complementary dimension reduction
Latent variable mining with its applications to anomalous behavior detection
A modified least angle regression algorithm for interaction selection with heredity
Robust deep neural network surrogate models with uncertainty quantification via adversarial training
Principal component analysis for bar charts and metabins tables
Tests for mean vectors in high dimension
Share density-based clustering of income data
Model guided adaptive design and analysis in computer experiment
Special Issue on Statistical Learning
Materials data analytics for 9% Cr family steel
Stratified learning: A general-purpose statistical method for improved learning under covariate shift
Adaptive regularization for Lasso models in the context of nonstationary data streams
e RPCA : Robust Principal Component Analysis for Exponential Family Distributions
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Density estimation via measure transport: Outlook for applications in the biological sciences
A new logarithmic multiplicative distortion for correlation analysis
Markov chain to analyze web usability of a university website using eye tracking data
Application of model selection technique in chemogenomic data analysis
Boosted sparse nonlinear distance metric learning
Special issue on the best papers of SDM'11
Optimization and testing in linear non-Gaussian component analysis
Efficient discovery of interesting patterns based on strong closedness
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets
Extracting Genetically-Imputed Causal Features From ECG Data
Application of the Cox proportional hazards model and competing risks models to critical illness insurance data
Combining computer models to account for mass loss in stellar evolution
A general framework for efficient clustering of large datasets based on activity detection
Model selection with bootstrap validation
Erratum to "Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data"
Conformal Multi-Target Hyperrectangles
Least Angle Regression and LASSO for Large Datasets
Reduced rank ridge regression and its kernel extensions
Clover plot: Versatile visualization in nonparametric classification
Factor analysis of mixed data for anomaly detection
Objective identification of local spatial structure for material characterization
Minimizing information loss in shared data: Hiding frequent patterns with multiple sensitive support thresholds
Eigen-analysis of nonlinear PCA with polynomial kernels
A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications
Constructive setting for problems of density ratio estimation
Exact Score Vector and Hessian Matrix for Mixtures of Matrix-Variate Normals
Multilevel logistic cluster-weighted model for outcome evaluation in health care
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications
Bayesian model averaging in astrophysics: a review
Building cancer prognosis systems with survival function clusters
Sparse partial least squares regression for on-line variable selection with multivariate data streams
Model Averaging for Regression Kink Models
Unsupervised random forests
Forecasting basketball players' performance using sparse functional data
On supervised mining of dynamic content-based networks
Data Analysis in the 21st Century
Prediction of Kumaraswamy distribution in constant-stress model based on type-I hybrid censored data
Special issue on the best papers of the Conference on Intelligent Data Understanding (CIDU 2010)
Sparse inverse kernel Gaussian Process regression
Sequential metamodel-based approaches to level-set estimation under heteroscedasticity
Advancing science and technology with big data analytics
Pruning variable selection ensembles
Improving inference of Gaussian mixtures using auxiliary variables
The snake for visualizing and for counting clusters in multivariate data
Properties and Bayesian fitting of restricted Boltzmann machines
Testing for the Important Components of Predictive Variance
Text mining in computational advertising
Development of a high throughput environment for the optimization of process parameters for the solvothermal synthesis of isomerization catalysts
A survey on unsupervised outlier detection in high-dimensional numerical data
Selecting the selector: Comparison of update rules for discrete global optimization
A new method for performance analysis in nonlinear dimensionality reduction
The future of precision health is data-driven decision support
Less is More: Sparse Graph Mining with Compact Matrix Decomposition
The Relevant-Set Correlation Model for Data Clustering
Confidence bounds for threshold similarity graph in random variable network
Clustering algorithm based on mutual K-nearest neighbor relationships
The analysis of association rules: Latent class analysis
Multi-node Expectation-Maximization algorithm for finite mixture models
A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks