yusuke1997/dblp-id-title huggingface dataset:
New convolutional neural network models for efficient object recognition with humanoid robots
Imbalanced data classification using MapReduce and relief
Design and evaluation of features and classifiers for OLED panel defect recognition in machine vision
Deciphering digital popularity from question quality: the preeminence of social attributes over textual dimensions in driving CQA platform traffic
Audio fingerprint hierarchy searching strategies on GPGPU massively parallel computer
A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks
Comparison of influence of Thai and Japanese cultures on reasoning in social communication using simulated crowds
The solution of the problem of unknown words under neural machine translation of the Kazakh language
A novel machine learning approach for database exploitation detection and privilege control
Equilibrium analysis for linear and nonlinear aggregation in network models: applied to mental model aggregation in multilevel organisational learning
Ontology-driven use of ChatGPT to build guidelines and select technology parameters for IoT lab development
Secure data outsourcing in presence of the inference problem: issues and directions
A customer satisfaction centric food delivery system based on blockchain and smart contract
On the use of text augmentation for stance and fake news detection
On the use of ensemble method for multi view textual data
FORTIFIER: a FORmal disTrIbuted Framework to Improve the dEtection of thReatening objects in baggage
An efficient energy measurement system based on the TOF sensor for structural crack monitoring in architecture
A fast and efficient data reuse scheme for HEVC Integer Motion Estimation hardware architecture
Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure
The formalization of interlanguage: the example of object clitic pronouns acquisition in French L2
Extreme deep learning in biosecurity: the case of machine hearing for marine species identification
The application of machine learning and deep learning in sport: predicting NBA players' performance and popularity
Multiple classifier-based spatiotemporal features for living activity prediction
Focused domain contextual AI chatbot framework for resource poor languages
Social media sentiment analysis based on COVID-19
iTEVAC: an enhanced trusted evacuation system leveraging fog computing and IoT
Event detection based on open information extraction and ontology
Predicting higher order mutation score based on machine learning
Gender and region detection from human voice using the three-layer feature extraction method with 1D CNN
Design of hybrid machine learning and TF-IDF models to discard irrelevant reviews on public transport stations
Can EEG-devices differentiate attention values between incorrect and correct solutions for problem-solving tasks?
Securing personal data in public cloud
Information granulation construction and representation strategies for classification in imbalanced data based on granular computing
Relay-assisted communication over a fluctuating two-ray fading channel
Feature selection in intrusion detection systems: a new hybrid fusion of Bat algorithm and Residue Number System
Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents
From the Editors and Ton Duc Thang University
Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets
Document similarity for error prediction
Extended continuous improvement model for Internet of Things system design environments
Denial of service attack detection through machine learning for the IoT
XAI-BO: an architecture using Grad-CAM technique to evaluate Bayesian optimization algorithms on deep learning models
Optimal path planning for motion robots based on bees pollen optimization algorithm
Semantic regions segmentation using a spatio-temporal model from an UAV image sequence with an optimal configuration for data acquisition
Abnormal network packets identification using header information collected from Honeywall architecture
Fine-grained sentiment analysis using multidimensional feature fusion and GCN
An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals
Decision trees using local support vector regression models for large datasets
Development of seawater temperature announcement system for improving efficiency of fishery industry
On the ASER performance of amplify-and-forward relaying MIMO/FSO systems using SC-QAM signals over log-normal and gamma-gamma atmospheric turbulence channels and pointing error impairments
Uplink and downlink of energy harvesting NOMA system: performance analysis
Overview of the challenges and solutions for 5G channel coding schemes
An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network
On the performance of outage probability in cognitive NOMA random networks with hardware impairments
Reproduction operators in solving LABS problem using EMAS meta-heuristic with various local optimization techniques
Distributed image retrieval with colour and keypoint features
Exploration strategies for balancing efficiency and comprehensibility in model checking with ant colony optimization
Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm
The cohesive management: the football lesson for high-tech organizations
On routing, modulation format, space and spectrum allocation with protection in space division multiplexing-based elastic optical networks
SEADer++: social engineering attack detection in online environments using machine learning
Speeding up Composite Differential Evolution for structural optimization using neural networks
Miniaturized planar dipole antenna with enhanced gain for WLAN applications using AMC surface
A new penalty-based wrapper fitness function for feature subset selection with evolutionary algorithms
An SHO-based approach to timetable scheduling: a case study
Variable-bandwidth recursive-filter design employing cascaded stability-guaranteed 2nd-order sections using coefficient transformations
Heuristic and deep reinforcement learning-based PID control of trajectory tracking in a ball-and-plate system
Designing image processing tools for testing concrete bridges by a drone based on deep learning
Social networking sites usage & needs scale (SNSUN): a new instrument for measuring social networking sites' usage patterns and needs
Requirements engineering of Malaysian radiological medical emergency response simulator
On the scalability of data augmentation techniques for low-resource machine translation between Chinese and Vietnamese
Classification model with collinear grouping of features
A survey on spatial, temporal, and spatio-temporal database research and an original example of relevant applications using SQL ecosystem and deep learning
Texture recognition under scale and illumination variations
Speeding up and enhancing a large-scale fingerprint identification system on GPU
Wireless routeing scheme for UAV-assisted access networks based on the link path loss
In orbit reconfigurable dual X and K-band transmitter for Low Earth Orbit multi-mission satellites
Spatial SIRD model with different risk groups - multiagent approach for modelling an epidemic
Image compression in resource-constrained eye tracking devices
Information systems modelling based on graph-theoretic background
An algorithmic approach to estimate cognitive aesthetics of images relative to ground truth of human psychology through a large user study
Towards fast and memory efficient discovery of periodic frequent patterns
Intelligent collective: some issues with collective cardinality
Transformation of UML class diagram into OWL Ontology
Detection and classification of breast cancer in mammographic images with fine-tuned convolutional neural networks
A voting ensemble classifier for stress detection
Performance comparison of different momentum techniques on deep reinforcement learning
A fuzzy-based trust evaluation framework for efficient privacy preservation and secure authentication in VANET
Competence-oriented project team planning - university case study
Game theory-based dynamic resource allocations scheme in virtual networks
Design and implementation of a VoIP PBX integrated Vietnamese virtual assistant: a case study
Lean and agile supply chains of e-commerce: empirical research
Content-based fake news classification through modified voting ensemble
A road accident pattern miner (RAP miner)
Victim no more: a temporal-causal analysis of how a mediator can help out a bullying victim
Parkinson's disease development prediction by c-granule computing compared to different AI methods
Consensus-based methods for distributed systems, blockchain, and voting: a survey
Optimized design and performance analysis of wearable antenna sensors for wireless body area network applications
MSA-SDMN: multicast source authentication scheme for multi-domain software defined mobile networks
Redhyte: a self-diagnosing, self-correcting, and helpful hypothesis analysis platform
A new method for enhancing collective intelligence using expert's knowledge
Adaptive load forecasting using reinforcement learning with database technology
On the applicability of Network-Oriented Modelling based on temporal-causal networks: why network models do not just model networks
Initial public offering and financial news
Exploring zero-shot and joint training cross-lingual strategies for aspect-based sentiment analysis based on contextualized multilingual language models
Estimation of air temperature using smartphones in different contexts
Improving text summarization using neuro-fuzzy approach
High-order allpass cascade-connected phase-system design utilizing fractional polynomial errors
An approach for learning resource recommendation using deep matrix factorization
Dynamic portfolio insurance strategy: a robust machine learning approach
Speech emotion recognition using overlapping sliding window and Shapley additive explainable deep neural network
S-box design method based on improved one-dimensional discrete chaotic map
Partial relay selection for secure cooperative NOMA networks
Improving energy efficiency for intelligent reflecting surface assisted PD-NOMA in EH relaying network
On improving agricultural IoT management process for fault detection
BASTA: BDI-based architecture of simulated traffic agents
Performance evaluation of various hybrid modulation techniques transmitted by EDFA in radio-over-fibre communication
January 6th on Twitter: measuring social media attitudes towards the Capitol riot through unhealthy online conversation and sentiment analysis
Performance of modified and low complexity pulse shaping filters for IEEE 802.11 OFDM transmission
Notice of duplicate publication
An intelligent system to predict academic performance based on different factors during adolescence
Coverage probability of energy harvesting enabled LoRa networks with stochastic geometry
Model of IoT design decision-making processes in Flow Based Programming systems
A survey of disaster management datasets
Development of a solution for collecting crack images on concrete surfaces to assess the structural health of bridges using drone
Multiple-period planning of Internet Protocol-over-Elastic Optical Networks
A performance guaranteed indoor positioning system using conformal prediction and the WiFi signal strength
Powering AI-driven car damage identification based on VeHIDE dataset
Prediction of user loyalty in mobile applications using deep contextualized word representations
Multi-agent model-based intensification-driven tabu search for solving the dual-resource constrained flexible job shop scheduling
Analysis of temporal complex events in sensor networks
Fractal geometry-based chakra-shaped microstrip patch antenna array for vehicular communications under 5G environments
Fusion schemes for image-to-video person re-identification
An Analysis of Google Logs Retention Policies
Intruder Testing on the 2011 UK Census: Providing Practical Evidence for Disclosure Protection
Statistical Déjà Vu: The National Data Center Proposal of 1965 and Its Descendants
Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation
Private Boosted Decision Trees via Smooth Re-Weighting
Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter
Editorial: In This Issue
Beyond Legal Frameworks and Security Controls For Accessing Confidential Survey Data: Engaging Data Users in Data Protection
Privacy Protection from Sampling and Perturbation in Survey Microdata
Synthetic Business Microdata - an Australian example
Relaunching the Journal of Privacy and Confidentiality
Noise Multiplication for Statistical Disclosure Control of Extreme Values in Log-normal Regression Samples
How Can We Analyze Differentially-Private Synthetic Datasets?
Taxonomy of Attacks on Privacy-Preserving Record Linkage
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
Generalized Rainbow Differential Privacy
Reminiscences of Steve Fienberg
Program for TPDP 2018
Synthetic Data Generation with Differential Privacy via Bayesian Networks
Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access
Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality
Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records
Commercial Data Privacy and Innovation in the Internet Economy: A Dynamic Policy Framework
Is the Privacy of Network Data an Oxymoron?
Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models
Use of Administrative Records and the Privacy-Confidentiality Trade-off
Thinking About Privacy: Chapter 1 of "Engaging Privacy and Information Technology in a Digital Age"
Perspective: Better Privacy Theorists for Better Data Stewards
The Bounded Laplace Mechanism in Differential Privacy
Reflections on the Successes and Challenges of Research Data Centers in Canada and the U.S
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications
Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning
Program for TPDP 2016
Comment on Article by Anderson and Seltzer
Schneier on Security: Privacy and Control
Privacy-preserving Maximum Likelihood Estimation for Distributed Data
A New Data Collection Technique for Preserving Privacy
Per-instance Differential Privacy
A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples
Multiple Imputation for Disclosure Limitation: Future Research Challenges
Program for TPDP 2017
Overlook: Differentially Private Exploratory Visualization for Big Data
Differential Privacy in Practice: Expose your Epsilons!
Releasing Microdata: Disclosure Risk Estimation, Data Masking and Assessing Utility
On the Difficulties of Disclosure Prevention in Statistical Databases or The Case for Differential Privacy
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
Editorial: Articles, perspectives, and TPDP
Using pedagogical and psychological insights to train analysts using confidential data
Microdata access and privacy: What have we learned over twenty years?
Estimation of Regression Parameters from Noise Multiplied Data
In Honour of Steve and Joyce Fienberg
Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets
First Issue Editorial
Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering
Polynomial-time Attack on Output Perturbation Sanitizers for Real-valued Databases
Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data
Linear Program Reconstruction in Practice
Differentially Private Release of Datasets using Gaussian Copula
An Evaluation Framework for Privacy-Preserving Record Linkage
Protecting Individual Privacy in the Struggle Against Terrorists—A Framework for Program Assessment: Executive Summary
Maintaining Analytic Utility while Protecting Confidentiality of Survey and Nonsurvey Data
Rethinking Disclosure Prevention with Pointwise Maximal Leakage
Releasing Earnings Distributions using Differential Privacy - Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO)
Differentially Private Confidence Intervals for Empirical Risk Minimization
Differentially private false discovery rate control
Discrete Gaussian for Differential Privacy
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism
A Dissenting View from Julia Lane
Tiered Access to Research Data for Secondary Analysis
Concentration Bounds for High Sensitivity Functions Through Differential Privacy
Towards a Systematic Analysis of Privacy Definitions
Special Issue on the Theory and Practice of Differential Privacy 2016
The present and future of the Five Safes framework
Editorial for Special Issue on the Theory and Practice of Differential Privacy 2018
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
A Graph-based Approach to Key Variable Mapping
The Effect of Data Swapping on Analyses of American Community Survey Data
Public-Use vs. Restricted-Use: An Analysis Using the American Community Survey
How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations
Protecting Consumer Privacy in an Era of Rapid Change - A Proposed Framework for Businesses and Policymakers (Preliminary FTC Staff Report)
On Privacy in the Age of COVID-19
Reconstruction Attacks on Aggressive Relaxations of Differential Privacy
Statistical Approximating Distributions Under Differential Privacy
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy
Privacy Profiles and Amplification by Subsampling
Engaging Privacy and Information Technology in a Digital Age: Executive Summary
Steve Fienberg and Student Research
Reminiscenses of Steve Fienberg
Silent Listeners: The Evolution of Privacy and Disclosure on Facebook
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
Restricted data management: the current practice and the future
Estimating Risks of Identification Disclosure in Partially Synthetic Data
The Fienberg Problem: How to Allow Human Interactive Data Analysis in the Age of Differential Privacy
Expansion, perspectives, and challenges
Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy
Trust but Pre-Verify?
Memories of Steve Fienberg
Improving User Choice Through Better Mobile Apps Transparency and Permissions Analysis
Random Differential Privacy
Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings
Cryptanalysis of Basic Bloom Filters Used for Privacy Preserving Record Linkage
On Privacy and Public Data: a Study of data.gov.uk
Face Recognition and Privacy in the Age of Augmented Reality
Geographic Spines in the 2020 Census Disclosure Avoidance System
Minimaxity, Statistical Thinking and Differential Privacy
Statistical Disclosure Limitation: New Directions and Challenges
Protecting Sensitive Data Early in the Research Data Lifecycle
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy
Introduction to Special Section
Between Pure and Approximate Differential Privacy
Differentially Private Inference for Binomial Data
Designing Incentive Schemes for Privacy-Sensitive Users
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge
The Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses
Gradual Release of Sensitive Data under Differential Privacy
Model Selection when multiple imputation is used to protect confidentiality in public use data
Consumer Data Privacy in a Networked World: A Framework for Protecting Privacy and Promoting Innovation in the Global Digital Economy
Risk of Linked Census Data to Transgender Youth: A Simulation Study
On the Meaning and Limits of Empirical Differential Privacy
Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy
The Future of the Journal of Privacy and Confidentiality
Editorial for Volume 9 Issue 2
Privacy and the Statistician: What Do We Need to Know to Certify Nondisclosure?
Differential Privacy for Statistics: What we Know and What we Want to Learn
Releasing Private Contingency Tables
The Bounded Gaussian Mechanism for Differential Privacy
Why It Matters to Distinguish Between Privacy and Confidentiality
Featherweight PINQ
Federal Statistical Confidentiality and Business Data: Twentieth Century Challenges and Continuing Issues
Tribute to Steve Fienberg
Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy
How Will Statistical Agencies Operate When All Data Are Private?
The Science and Technology of Privacy Protection: Appendix L of "Protecting Individual Privacy in the Struggle Against Terrorists"
Special Issue on the Theory and Practice of Differential Privacy
Privacy via the Johnson-Lindenstrauss Transform
Privacy-Preserving Data Sharing for Genome-Wide Association Studies
Synthesizing Familial Linkages for Privacy in Microdata
Data Confidentiality: The Next Five Years Summary and Guide to Papers
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Global Measures of Data Utility for Microdata Masked for Disclosure Limitation
Research Data Centres - a Regulator's Perspective
Developing access to confidential data in France: results and new challenges
Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index
On the Privacy and Utility Properties of Triple Matrix-Masking
National Addiction and HIV Data Archive Program: Developing an Approach for Reuse of Sensitive and Confidential Data
Confidentialising Survival Analysis Output in a Remote Data Access System
Reminiscences about Steve Fienberg
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Vulnerability of Complementary Cell Suppression to Intruder Attack
A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables
Top-Coding and Public Use Microdata Samples from the U.S. Census Bureau
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results
Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources
Heterogeneous Differential Privacy
An Axiomatic View of Statistical Privacy and Utility
An Intuitive Formulation and Solution of the Exact Cell-Bounding Problem for Contingency Tables of Conditional Frequencies
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model
Practical Data Synthesis for Large Samples
Comment on Article by Gates
Differentially private posterior summaries for linear regression coefficients
Interaction is Necessary for Distributed Learning with Privacy or Communication Constraints
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Remembering Stephen Fienberg
Steve's influence on my work
On the Connection Between the ABS Perturbation Methodology and Differential Privacy
Changes to the Journal of Privacy and Confidentiality
Commentary: Future U.S. National Statistics Use of Administrative Data
On Regression-Tree-Based Synthetic Data Methods for Business Data
Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know
Utilizing the Surrogate Dual Bound in Capacity Planning with Economies of Scale
Speeding up Stochastic Dynamic Programming with Zero-Delay Convolution