yusuke1997/dblp-id-title huggingface dataset:
Mining Tourist's Perception toward Indonesia Tourism Destination Using Sentiment Analysis and Topic Modelling
Human action recognition method based on wearable inertial sensor
Federated Learning for Network Traffic Classification: Impact of Non-IID Distribution on Model Performance
Development and HPC Preliminary Testing of a TRM Reactive-transport Model for Solving Potential Environmental Issues
Design and Development of IoT Based Accident Detection and Emergency Response System
Suitability of Blockchains to Enable and Support Networking Functions: State of Art
A LoRa-based Wireless Sensor Network monitoring system for urban areas subjected to landslide
Brain Activity Percentage Difference for Independent Component Analysis Rejection in the Classification Accuracies of Phone-Induced Distracted Driving
Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests
A Fault Tolerant and Secured Network Design for File and Application Sharing in a Mid-sized Business Environment
Enhanced Inverse Ant Algorithm with Mutable Path Pheromone Concentration
EE-Navi: Energy-Efficient Navigation Service for Electric Vehicle
Smartool - a digital platform for Condition-Based Maintenance in Industry 4.0 environments
An Integrated Web-Based Approach for Email Analysis Investigation Tool
An Investigative Study on the Quality Aspects of Linked Open Data
Design of a Payment System in Private Transportation to Prevent Covid-19 Contagion - Huancayo
Mobile Agent-based Secure Cloud Data Center Exploration for Load Data Retrieval Using Graph Theory
Analyzing Cybersecurity Risk with a Phishing Simulation Website
Towards an Open, Hybrid AI Scale Architecture
Survey on Evaluation of IoT Services Leveraging Virtualization Technology
Acoustic Attacks in IOT Era: Risks and Mitigations
Gene Regulatory Network Identification based on Forest Graph-embedded Deep Feedforward Network
Dynamic uncore frequency scaling based on performance events of Web applications
A Novel Fire Rescue System with Fog Computing
An Efficient Algorithm for Mining Frequent High Utility Occupancy Generators
Bitcoin-Powered IoT Networks for Climate Change Research: a Peer-to-Peer Micro-Payment System to Enhance Data Collection
Machine Learning-Based Crop Recommendation for IoT-Enabled Smart Agriculture
Hamming Weight aware Fault Analysis for Lightweight Cryptography TWINE
Research on RedCap UE's performance indicators in real network to support iot applications
Design, Implementation and Performance Measurement of Raspberry Gate in the IoT Field
Pixel-based Visual Secret Sharing Using Lorenz System
Mobile APP Development for Recording Car Incidents in Public Transport Companies Promoting SmartCity Models
Performance Comparison of Interpolation Methods for Enriching WiFi Fingerprint Database
Software Development and Design of a Cybersecurity System Based on Big Data Analysis Technology
MOClusVNF: Leveraging Multi-Objective for Scalable NFV Orchestration
ComFaaS: Comparative Analysis of Edge Computing with Function-as-a-Service
Toward Awareness Locality Algorithms of Peer-to-Peer File Sharing Network
An Information Monitoring Platform for Thermal Energy Storage Systems Using Cloud Computing
mpiPython: A Streamlined Python Collective Communication Library to MPI
Chip contour detection and recognition based on deep-learning approaches
Mobile Banking Behaviour of Austrians and Romanians - The Role of Espoused Cultural Values
Data Protection in the Utilization of Natural Language Processors for Trend Analysis and Public Opinion: Cryptographic Aspect
Modern Challenges of the Activities of Document and Information Institutions
Digital Humanities in the Concept of Training Specialists in Information, Library and Archival Science
Showcasing Identity: Virtual Exhibitions of the Ukrainian Diaspora in Canada
Consolidated Information Resource of University Archives of Lviv Polytechnic as a Research Platform of Scientific Heritage, Historical and Cultural Memory: Project Implementation Methodology
Proceedings of the 3rd International Workshop on Social Communication and Information Activity in Digital Humanities (SCIA 2024), Lviv, Ukraine, October 31, 2024
Discovering library users' information needs of Ukrainian technical universities based on SEO analysis
Proceedings of the 1st International Workshop on Social Communication and Information Activity in Digital Humanities (SCIA-2022), Lviv, Ukraine, October 20, 2022
Machine Learning of the Classifier of Authors of Social Network Messages
The Use of Modern Communication Platforms for the Organization of Online Education
Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis
Words Matter - Using Machine Learning to Verify How Words Absolve or Condemn Defendants
EU Digital Market: the Future of Eastern Partnership
Promoting the Ukrainian Education and Culture Centre "Oseredok" through the digitization of Ukrainian Studies archival collections in Canada
Virtual Museum and the Phenomenon of Digital Heritage: Challenges of the 21st Century
Assessing the users' awareness level: social media and university libraries in the context of modern educational environment
The Role of the EU in the Development of E-business in the Eastern Partnership Countries
Mediadeterminism and its Reflexes at the Lexical Level
Personality Prediction from Social Networks: a Review of Works
Proceedings of the 2nd International Workshop on Social Communication and Information Activity in Digital Humanities (SCIA 2023), Lviv, Ukraine, November 9, 2023
Building C2 servers for the assessment of AI based antiviruses
Modern Library as a Socio-Cultural Space
Studying the dynamics of the implementation of orthographic norms in media discourse using corpus linguistics
Analysis of the Use of Information Resources of the Aggressor Country by the University Educational Process Participants in 2021-2023
Social Media as Communication Channels of Academic Libraries During the Covid-19 Pandemic
The Impact of Key Aspects on Admin Panel Design for Online Media Site
Ukraine on the Road to the European Digital Market: Status and Tools for Implementing the European Digital Economy and Society Index in Ukraine
Analysis of project activities of libraries of the People's Republic of China
Material, Constructive and Communicative Components in the Design of Modern Printed Publications in Ukraine
Linked4Resilience: Linked Open Data for Data-Centric Resilience of Damaged Cultural Properties and Infrastructures in Ukraine
Technological Processes of Working with Documented Information in the Organization as an Indicator of Corporate Information Subculture
Studying Semantic Transformations of Deterministic Vocabulary in Artistic Discourse Using Corpus Technologies
A statistical profile of color terms in Irving Stone's biographical novel about Vincent van Gogh: a corpus-based approach
Organization and Conduct of Career Guidance Subject Olympiads by Means of Computer Testing in the Practice of the Centre for Testing and Diagnostics of Knowledge of the Lviv Polytechnic National University
Russian information-psychological special operations in Ukraine and peculiarities of system design for their countermeasures
Threats of the Implementation of E-Voting and Methods of Their Neutralization
Effective Semantic Markers Of Using Socio-Communication Technologies In Educational Activities
State Archives in Ukraine During the Russian Aggression: Challenges and Achievements
Cancel Culture as a Discursive Event: on the Use of CDA in Social Media Research
Categorizing False Information in News Content Using an Ensemble Machine Learning Model
Digital Television Space: a Typology of Content as a Reflection of Democratic Processes in Ukraine
Machine learning of software agents for classification sociotypes
Threats and Perspectives of the Implementation of E-Voting in Ukraine
The Mental Health Discourse in Social Media as a Factor of Information Resistance of Ukrainians
Methods and means of forming the image of the teacher of the Higher Education Institution
Information Technology Optimizing the Structure of the Collective Using the Methods of Practical Psychology
Problems and Prospects of the Neutralization of Threats of E-Voting in Ukraine
Mediatization of needs of people with disabilities in war discourse in Ukrainian social media
The concept of using information technologies for the study of sacred monody's structure
Development of Structure of the Users' Motivational Intentions Database of the Web-Community for Supply and Demand of Educational Services and Evaluation of Its Information Content Quality
Preface - Social Communication and Information Activity in Digital Humanities: Ukrainian Dimension
Electronic Library as Modern Information Center
Promotion of Cultural, Educational and Enlightenment Activities of Museums During the Pandemic and Overcoming Social Distance (as Exemplified by the Museum of the Lviv Polytechnic National University)
Linguistic and Semantic Representation of the WAR concept by Phraseological Units
The Market of Ukrainian Printed Books with Augmented Reality: Assortment, Problems and Communicative Aspects
Development of a Procedure for Forming Recommendations to Updating the University's Variable Courses Based on Their Indicator of Selection Trends
Research on data transmission technologies and information security in IoT networks
Development of the programming language learning skills using gamification elements
Methods of Career Guidance Activity of the Department of Higher Education Institutions in Social Networks
Information computer system with a virtual tour for cultural heritage preservation of the Zbarazh Castle Museum's exhibition hall
Using Fuzzy Logic in the Research of the Data Visualization Process in Infographics
Evaluation of Information Resources of Scientific Libraries
Modeling the processes of a mentorship assistance information system based on linguistic features of requests
Determining the Importance of Factors in the Selection of Immersive Technology for Artworks Reproduction
Merging Uniform Inductive Learners
Dimension and Margin Bounds for Reflection-invariant Kernels
Matrix Completion from $O(n)$ Samples in Linear Time
On the Learnability of E-pattern Languages over Small Alphabets
Performance Bounds for Nonlinear Time Series Prediction
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning
Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach
Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem
Noise-tolerant, Reliable Active Classification with Comparison Queries
Private Robust Estimation by Stabilizing Convex Relaxations
Boosting Using Branching Programs
On the Complexity of Learning for a Spiking Neuron (Extended Abstract)
Identifying µ-Formula Decision Trees with Queries
On the Complexity of A/B Testing
Breaking the Probability 1/2 Barrier in FIN-Type Learning
On the Complexity of Learning Minimum Time-Bounded Turing Machines
Learning sparse generalized linear models with binary outcomes via iterative hard thresholding
Proceedings of the Eigth Annual Conference on Computational Learning Theory, COLT 1995, Santa Cruz, California, USA, July 5-8, 1995
Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes
Open Problem: Meeting Times for Learning Random Automata
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
Subspace Embeddings and \(\ell_p\)-Regression Using Exponential Random Variables
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
Community detection with the Bethe-Hessian
Complexity Theoretic Limitations on Learning DNF's
COLT 2010 - The 23rd Conference on Learning Theory, Haifa, Israel, June 27-29, 2010
Adversarially Robust Learning with Unknown Perturbation Sets
Unlabeled Compression Schemes for Maximum Classes,
When Is Partially Observable Reinforcement Learning Not Scary?
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
Cutting plane methods can be extended into nonconvex optimization
Learning Nested Differences of Intersection-Closed Concept Classes
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression
Efficient Convex Optimization Requires Superlinear Memory
Apple Tasting: Combinatorial Dimensions and Minimax Rates
Generality's Price: Inescapable Deficiencies in Machine-Learned Programs
Nonlinear spiked covariance matrices and signal propagation in deep neural networks
Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon
The Price of Adaptivity in Stochastic Convex Optimization
Adversarially Robust Low Dimensional Representations
Sensitive Error Correcting Output Codes
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization
Predictions as Statements and Decisions
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
Compression Barriers in Autoregressive Transformers
High Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transtition
Lower Bounds for Greedy Teaching Set Constructions
Generalized Teaching Dimensions and the Query Complexity of Learning
Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition
Chasing Convex Bodies and Functions with Black-Box Advice
Rates of estimation for determinantal point processes
Best of both worlds: Stochastic & adversarial best-arm identification
PREM: Privately Answering Statistical Queries with Relative Error
Learning Theory, 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings
Learning Constant-Depth Circuits in Malicious Noise Models
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Learning Algorithm for Enclosing Points in Bregmanian Spheres
An Adaptive Version of the Boost by Majority Algorithm
Online Multi-task Learning with Hard Constraints
Trading in Markovian Price Models
Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks
Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds
Predicting quantum channels over general product distributions
On the capacity of information processing systems
Learning Using Group Representations (Extended Abstract)
A Fine-grained Characterization of PAC Learnability
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
Preference Elicitation and Query Learning
Trade-offs in Data Memorization via Strong Data Processing Inequalities
Best-of-K-bandits
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD
Learning with invariances in random features and kernel models
Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data
Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation
Stability and Generalization of Bipartite Ranking Algorithms
Tight analyses for non-smooth stochastic gradient descent
PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption
On Restricted-Focus-of-Attention Learnability of Boolean Functions
Entropy, Combinatorial Dimensions and Random Averages
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
Faster Algorithms for Agnostically Learning Disjunctions and their Implications
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract)
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control
Lower Bounds for Parallel and Randomized Convex Optimization
Suboptimality of Penalized Empirical Risk Minimization in Classification
Universal Portfolios With and Without Transaction Costs
Fast Rates for Support Vector Machines
Aggregating Strategies
The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations
Improved algorithms for learning quantum Hamiltonians, via flat polynomials
Online Learning with Low Rank Experts
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
Open Problem: Structure-Agnostic Minimax Risk for Partial Linear Model
Optimal Best Arm Identification with Fixed Confidence
Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron
A New PAC Bound for Intersection-Closed Concept Classes
Learning Languages with Rational Kernels
Active Learning for Identification of Linear Dynamical Systems
Detecting Arbitrary Planted Subgraphs in Random Graphs
Bounded regret in stochastic multi-armed bandits
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Inherent limitations of dimensions for characterizing learnability of distribution classes
Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians
Sparse Stochastic Bandits
Pattern Recognition and Density Estimation under the General i.i.d. Assumption
PAC-Learnability of Determinate Logic Programs
Microchoice Bounds and Self Bounding Learning Algorithms
Allocating Divisible Resources on Arms with Unknown and Random Rewards
Inductive Identification of Pattern Languages Restricted Substitutions
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Risk bounds for aggregated shallow neural networks using Gaussian priors
On the Difficulty of Approximately Maximizing Agreements
Tracking Most Significant Arm Switches in Bandits
Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations
Testing Thresholds and Spectral Properties of High-Dimensional Random Toroidal Graphs via Edgeworth-Style Expansions
On the Learnability and Usage of Acyclic Probabilistic Finite Automata
Covariance-adapting algorithm for semi-bandits with application to sparse outcomes
On Learning Decision Trees with Large Output Domains (Extended Abstract)
Parameterized Learning Complexity
Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
An Optimal Learning Algorithm for Online Unconstrained Submodular Maximization
Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal
The Binary Exponentiated Gradient Algorithm for Learning Linear Functions
Sparse Kernel Partial Least Squares Regression
On Convex Optimization with Semi-Sensitive Features
Towards Robust Model Selection Using Estimation and Approximation Error Bounds
Simplifying Adversarially Robust PAC Learning With Tolerance
The Price of Tolerance in Distribution Testing
From Noise-Free to Noise-Tolerant and from On-line to Batch Learning
Instance-dependent Regret Bounds for Dueling Bandits
Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance
Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes
Optimistic Information Directed Sampling
Simple online learning with consistent oracle
Evolution with Drifting Targets
Better-than-KL PAC-Bayes Bounds
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
Learning GMMs with Nearly Optimal Robustness Guarantees
Localized Complexities for Transductive Learning
Tracking Drifting Concepts Using Random Examples
Concept Learning with Geometric Hypotheses
On Learning Distributions from their Samples
Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
Second-order Quantile Methods for Experts and Combinatorial Games
Non-asymptotic approximations of neural networks by Gaussian processes
Teaching Randomized Learners
Online Learning with Constraints
The complexity of approximate (coarse) correlated equilibrium for incomplete information games
The sample complexity of agnostic learning under deterministic labels
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model
An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity
The Correct Definition of Finite Elasticity: Corrigendum to Identification of Unions
Semidefinite Programs for Exact Recovery of a Hidden Community
Learning Via Queries in [+, <]
Localization vs. Identification of Semi-Algebraic Sets
Entropic characterization of optimal rates for learning Gaussian mixtures
Repeated Bilateral Trade Against a Smoothed Adversary
Learning Structure from Data: A Survey
On the Consistency of Multiclass Classification Methods
Complexity Issues in Learning by Neural Nets
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract)
Some Local Measures of Complexity of Convex Hulls and Generalization Bounds
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
Non-Clashing Teaching Maps for Balls in Graphs
When Is Small Beautiful?
Drifting Games
How Hard is Robust Mean Estimation?
Learning Kernel-Based Halfspaces with the Zero-One Loss
A Noise Model on Learning Sets of Strings
Learning in the Limit with Adversarial Disturbances
Optimal Single Sample Tests for Structured versus Unstructured Network Data
Privacy-preserving Prediction
Regret Minimization for Online Buffering Problems Using the Weighted Majority Algorithm
Exactly Learning Automata with Small Cover Time
Memory, Communication, and Statistical Queries
Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract)
Community Detection via Random and Adaptive Sampling
Improved Guarantees for Agnostic Learning of Disjunctions
On Theory Revision with Queries
On the low-rank approach for semidefinite programs arising in synchronization and community detection
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities
From On-Line to Batch Learning
Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds
Causal Matrix Completion
Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
Amplification of Weak Learning under the Uniform Distribution
Sparse Probability Regression by Label Partitioning
Uniqueness of BP fixed point for the Potts model and applications to community detection
High-Probability Regret Bounds for Bandit Online Linear Optimization
Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball
Average-Case Communication Complexity of Statistical Problems
Taking a hint: How to leverage loss predictors in contextual bandits?
Polynomial Time Optimal Query Algorithms for Finding Graphs with Arbitrary Real Weights
Theoretical guarantees for sampling and inference in generative models with latent diffusions
The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions
ℓ p -Regression in the Arbitrary Partition Model of Communication
Locally Private Hypothesis Selection
Fast Rates for the Regret of Offline Reinforcement Learning
Universal Coding of Zipf Distributions
Adaptive Rates of Convergence in Active Learning
Near-Optimal Algorithms for Minimax Optimization
A Framework for Structural Risk Minimisation
Universal Sequential Learning and Decision from Individual Data Sequences
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression