yusuke1997/dblp-id-title huggingface dataset:
Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN)
Multi-Learning Generalised Low-Rank Models
Sparse Temporal Difference Learning via Alternating Direction Method of Multipliers
CLASSEQ: Classification of Sequences via Comparative Analysis of Multiple Genomes
Speaker Siglet Detection for Business Microscope
A new cluster-based feature extraction method for surface defect detection
Sparse Dictionary Reconstruction for Textile Defect Detection
Learning Algorithms for Grammars of Variable Arity Trees
Semi-supervised Feature Extraction Using Independent Factor Analysis
Methods and Applications for Distance Based ANN Training
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert
Data Integration for Recommendation Systems
Adarmer: An Adaptive Transformer for Direct Normal Irradiance Forecasting
Concept of 4th Dimension for Databases
Venue Recommendation: Submitting Your Paper with Style
Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves
ConfusionTree-Pattern: A Hierarchical Design for an Efficient and Performant Multi-Class Pattern
Distributed Kernel Matrix Approximation and Implementation Using Message Passing Interface
MILPdM: A Predictive Maintenance Architecture for the Military Domain
IsoClustering: A Generalized Framework for Local Data Clustering
Learning to Fingerprint the Latent Structure in Question Articulation
Adaptive Restructuring of Radial Basis Functions Using Integrate-and-Fire Neurons
Integrating Prior Knowledge into Deep Learning
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
Active Learning for One-Class Classification
Efficient and Rotation Invariant Fingerprint Matching Algorithm Using Adjustment Factor
Predicting COVID-19 Case Counts using Twitter Image Data
Path for Kernel Adaptive One-Class Support Vector Machine
Automatic Species Recognition Based on Improved Birdsong Analysis
Domain Adaptation for Ageing State Recognition of Cables used in Power Systems
Formal Concept Analysis for Digital Ecosystem
Detection of False Data Injection Attacks in Cyber-Physical Systems using Dynamic Invariants
The DIEGO Lab Graph Based Gene Normalization System
Learning in Mixed Modality Situations-Learning Textual Descriptions of Images and Learning imageries encoded text
Leveraging Transformers for StarCraft Macromanagement Prediction
Damage Estimation and Localization from Sparse Aerial Imagery
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering
FastMapSVM/FastMapSVR for Predictive Tasks on CSPs, SAT, and Weighted CSPs
Valid Prediction Intervals for Course Grades with Conformal Prediction
Analyzing Facebook Activities for Personality Recognition
Sequentia12D: Organizing Center of Skip Connections for Transformers
Deep Mixture of Experts with Diverse Task Spaces
Activity Recognition Using Graphical Features
Predicting Future Agent Motions for Dynamic Environments
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time
A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data
Active Learning and Machine Teaching for Online Learning: A Study of Attention and Labelling Cost
A new graph-based evolutionary approach to sequence clustering
Verifying the Applicability of Synthetic Image Generation for Object Detection in Industrial Quality Inspection
Self-Attention Mechanism in GANs for Molecule Generation
Explainable Density-Based Approach for Self-Driving Actions Classification
Prediction of dynamic forces on lumbar joint using a recurrent neural network model
Predicting Cognitive Load using Parameter-optimized CNN from Spatial-Spectral Representation of EEG Recordings
Non-Linear Semantic Embedding for Organizing Large Instrument Sample Libraries
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
Data-Based Statistical Models of Data Networks
Enhanced ICA mixture model for image segmentation
An Accurate and Robust Missing Value Estimation for Microarray Data: Least Absolute Deviation Imputation
Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices
GAN-Based Super Resolution for Accurate 3D Surface Reconstruction from Light Field Skin Images Towards Haptic Palpation
Rule refinement with extended data expression
An Investigation of Fine-tuning Pre-trained Model for MR-to-Text Generation
Using Machine Learning to Understand and Mitigate Model Form Uncertainty in Turbulence Models
Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques
Time Series Prediction of Agricultural Products Price Based on Time Alignment of Recurrent Neural Networks
Semi-supervised Non-negative Patch Alignment Framework
Detecting Freezing of Gait in Parkinson's Disease Patient via Deep Residual Network
Machine Learning Methods Used in Evaluations of Secure Biometric System Components
Speeding Up Greedy Forward Selection for Regularized Least-Squares
Modelling of Fuzzy Logic Controller of a Maximum Power Point Tracker Based on Artificial Neural Network
Simple Reinforcement Learning for Small-Memory Agent
An Asynchronous Implementation of the Limited Memory CMA-ES
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
Principal Component Analysis and Entropy-based Selection for the Improvement of Bug Triage
Differentiation and Integration of Machine Learning Feature Vectors
Classification of X-Ray Galaxy Clusters with Morphological Feature and Tree SVM
Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs
A New Approach of Matrix Factorization and Its Application in Recommender Systems
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference
Enhancing Claims Handling Processes with Insurance Based Language Models
Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder
ADL Classification Based on Autocorrelation Function of Inertial Signals
Deep Learning based Time Series Forecasting
Optimizing Naval Movement Using Deep Reinforcement Learning
Predicting Parallelization of Sequential Programs Using Supervised Learning
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences
Deep Learning for Microalgae Classification
Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context
Supervised Max Hashing for Similarity Image Retrieval
Hybrid Ontology-Based Information Extraction for Automated Text Grading
Hierarchical Federated Transfer Learning: A Multi-Cluster Approach on the Computing Continuum
Decremental Learning of Evolving Fuzzy Inference Systems Using a Sliding Window
Time-Series Investigation of Anomalous CRC Error Patterns in Fiber Channel Arbitrated Loops
Tracking recurrent concept drift in streaming data using ensemble classifiers
Force Feature Spaces for Visualization and Classification
Decoder Transformer for Temporally-Embedded Health Outcome Predictions
An Intelligent Tool for ANN Based Power Factor Correction
Moving Object Detection in Aerial Video
Pairwise Margin Maximization for Deep Neural Networks
Estimation of Exercise Energy Expenditure Using a Wrist-Worn Accelerometer: A Linear Mixed Model Approach with Fixed-Effect Variable Selection
Interpretable Deep Learning Model for Multiclass Brain Tumor Classification
An Augmented Image Captioning Model: Incorporating Hierarchical Image Information
Modeling Over-Dispersion for Network Data Clustering
An efficient multicategory classifier based on AdaBoosting
Smartphone Interruptibility Using Density-Weighted Uncertainty Sampling with Reinforcement Learning
Evolutionary Selection of Regressional Predictors to Enhance the Performance of Microfossil-Based Paleotemperture Proxies
A Weighted Distance Measure for Calculating the Similarity of Sparsely Distributed Trajectories
Encoding Motion Primitives for Autonomous Vehicles Using Virtual Velocity Constraints and Neural Network Scheduling
Learning Complex Events from Sequences with Informed Gaps
Iterative Feature Boosting for Explainable Speech Emotion Recognition
LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
Distributed Planning in Stochastic Games with Communication
Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary Syndrome
Hourly Solar Irradiance Forecasting Based on Machine Learning Models
Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Network and Its Estimated Gradient
Automatic Bitcoin Address Clustering
A Dynamic Sampling Framework for Multi-class Imbalanced Data
Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace
ECSGen and iZen: A New NLP Task and a Zeroshot Framework to Perform it
Estimating the Variance of Return Sequences for Exploration
Multiple instance learning using simple classifiers
Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network
A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations
Stereo Matching Based on Random Speckle Projection for Dynamic 3D Sensing
Behavior Sequence Transformer Applied on SERP Evaluation and Model Interpretation
The Effect of Clustering on Data Privacy
Measuring Level-K Reasoning, Satisficing, and Human Error in Game-Play Data
A Game-Theoretic Framework for Approximation with Soft Sets
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
An Efficient Algorithm for top-k Queries on Uncertain Data Streams
Machine Learning for Classification of Inhibitors of Hepatic Drug Transporters
Spectral Recovery Via Spectral-Aware Perceptual Loss
Feature Selection Using Gustafson-Kessel Fuzzy Algorithm in High Dimension Data Clustering
Covariance matrix computations with federated databases
Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion
Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems
Automatic Detection of HIV Drug Resistance-Associated Mutations
A Differentially Private and Truthful Incentive Mechanism for Traffic Offload to Public Transportation
Rational Trust Modeling
Decision and Game Theory for Security - First International Conference, GameSec 2010, Berlin, Germany, November 22-23, 2010. Proceedings
Aegis A Novel Cyber-Insurance Model
Realizable Rational Multiparty Cryptographic Protocols
Towards a Game Theoretic Authorisation Model
The Credential is Not Enough: Deception with Honeypots and Fake Credentials
Distributed Generative Adversarial Networks for Anomaly Detection
A Decentralized Shotgun Approach for Team Deception
Power Law Public Goods Game for Personal Information Sharing in News Commentaries
Methods and Algorithms for Infinite Bayesian Stackelberg Security Games - (Extended Abstract)
Optimizing Active Cyber Defense
Shades of Grey: Strategic Bimatrix Stopping Games for Modelling (Un)Ethical Hacking Roles
Disperse or Unite? A Mathematical Model of Coordinated Attack
contrastBERT: Behavioral Anomaly Detection for Malware Using Contrastive Learning
Fast Complete Algorithm for Multiplayer Nash Equilibrium
Rational Broadcast Protocols Against Timid Adversaries
Cybersecurity Games and Investments: A Decision Support Approach
Eco-resilience: Games, art, science
Multi-sided Advertising Markets: Dynamic Mechanisms and Incremental User Compensations
Multimodal Anomaly Detection for Autonomous Cyber-Physical Systems Empowering Real-World Evaluation
Optimal Thresholds for Anomaly-Based Intrusion Detection in Dynamical Environments
Honeypot Allocation for Cyber Deception in Dynamic Tactical Networks: A Game Theoretic Approach
Countering Attacker Data Manipulation in Security Games
A Game Theoretic Analysis of Collaboration in Wikipedia
Disappointment-Aversion in Security Games
A Game-Theoretical Approach for Finding Optimal Strategies in a Botnet Defense Model
Solving Cyber Alert Allocation Markov Games with Deep Reinforcement Learning
Colonel Blotto Game with Coalition Formation for Sharing Resources
A Network Centrality Game for Epidemic Control
Adversarial Deep Reinforcement Learning Based Adaptive Moving Target Defense
Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers
An Anti-jamming Strategy for Channel Access in Cognitive Radio Networks
A Point-Based Approximate Algorithm for One-Sided Partially Observable Pursuit-Evasion Games
A Stackelberg Game and Markov Modeling of Moving Target Defense
FlipThem: Modeling Targeted Attacks with FlipIt for Multiple Resources
Genetic Approximations for the Failure-Free Security Games
Combining Online Learning and Equilibrium Computation in Security Games
Surveillance for Security as a Pursuit-Evasion Game
Blocking Adversarial Influence in Social Networks
Digital Trust Games: An Experimental Study
Decision and Game Theory for Security - 15th International Conference, GameSec 2024, New York City, NY, USA, October 16-18, 2024, Proceedings
Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs
Game-Theoretic Approach to Feedback-Driven Multi-stage Moving Target Defense
Uncertainty in Games: Using Probability-Distributions as Payoffs
Consensus Algorithm with Censored Data for Distributed Detection with Corrupted Measurements: A Game-Theoretic Approach
A Distributed Optimization Algorithm for Attack-Resilient Wide-Area Monitoring of Power Systems: Theoretical and Experimental Methods
Decision and Game Theory for Security - 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings
Casino Rationale: Countering Attacker Deception in Zero-Sum Stackelberg Security Games of Bounded Rationality
Investment in Privacy-Preserving Technologies under Uncertainty
Computing the Nash Equilibria of Intruder Classification Games
Decision and Game Theory for Security - 12th International Conference, GameSec 2021, Virtual Event, October 25-27, 2021, Proceedings
Network Security Games: Combining Game Theory, Behavioral Economics, and Network Measurements
A Learning and Masking Approach to Secure Learning
Consistent Conjectural Approach to Adversarial Intent Tracking Under Sensing Constraints in Multi-target Defense Differential Games
Scalable Optimal Classifiers for Adversarial Settings Under Uncertainty
Attack-Aware Cyber Insurance for Risk Sharing in Computer Networks
Optimal Contract Design Under Asymmetric Information for Cloud-Enabled Internet of Controlled Things
Attacking Machine Learning Models for Social Good
Divide to Defend: Collusive Security Games
The AI Who Loved Me: Fundamental Bounds and Behaviors Under Human-AI Working Agreements
A Stochastic Game-Theoretic Model for Smart Grid Communication Networks
Decoy Allocation Games on Graphs with Temporal Logic Objectives
Using Choice Overload to Degrade Cyber Attacks
Game Theory and AI for Security - 16th International Conference, GameSec 2025, Athens, Greece, October 13-15, 2025, Proceedings, Part II
Addressing Scalability and Robustness in Security Games with Multiple Boundedly Rational Adversaries
Tree Search for Simultaneous Move Games via Equilibrium Approximation
Upper Bounds for Adversaries' Utility in Attack Trees
Efficient Rational Proofs for Space Bounded Computations
A Logic for the Compliance Budget
Cyber Camouflage Games for Strategic Deception
On Sequential Fault-Intolerant Process Planning
Asymmetric Centrality Game Against Network Epidemic Propagation
Using Signaling Games to Model the Multi-step Attack-Defense Scenarios on Confidentiality
Theoretical Bounds on the Adversarial Robustness of Reduced-Rank Regression
FlipLeakage: A Game-Theoretic Approach to Protect Against Stealthy Attackers in the Presence of Information Leakage
Algorithms for Subgame Abstraction with Applications to Cyber Defense
Empirical Game-Theoretic Analysis of an Adaptive Cyber-Defense Scenario (Preliminary Report)
Time-Dependent Strategies in Games of Timing
Dynamic Cheap Talk for Robust Adversarial Learning
Robust Control in Sparse Mobile Ad-Hoc Networks
Information Leakage Games
Scaling-Up Stackelberg Security Games Applications Using Approximations
Observable Perfect Equilibrium
A Large-Scale Markov Game Approach to Dynamic Protection of Interdependent Infrastructure Networks
A Stackelberg Game Model for Botnet Data Exfiltration
A Multi-resolution Dynamic Game Framework for Cross-Echelon Decision-Making in Cyber Warfare
On Poisoned Wardrop Equilibrium in Congestion Games
Learning and Planning in the Feature Deception Problem
Online Learning Methods for Border Patrol Resource Allocation
Distributed Aggregative Games on Graphs in Adversarial Environments
A Game Theoretic Framework for Software Diversity for Network Security
Winning the Ransomware Lottery - A Game-Theoretic Approach to Preventing Ransomware Attacks
Toward Optimal Network Topology Design for Fast and Secure Distributed Computation
Nash Q-Network for Multi-agent Cybersecurity Simulation
Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning
Defending Against APT Attacks in Robots: A Multi-phase Game-Theoretical Approach
A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning
Lie Another Day: Demonstrating Bias in a Multi-round Cyber Deception Game of Questionable Veracity
Game-Theoretical Analysis of PLC System Performance in the Presence of Jamming Attacks
Three Layer Game Theoretic Decision Framework for Cyber-Investment and Cyber-Insurance
Optimal Patrol Planning for Green Security Games with Black-Box Attackers
Adaptive Regret Minimization in Bounded-Memory Games
Decision and Game Theory for Security - 4th International Conference, GameSec 2013, Fort Worth, TX, USA, November 11-12, 2013. Proceedings
A Supervisory Control Approach to Dynamic Cyber-Security
A Review of Multi Agent Perimeter Defense Games
When Do Firms Invest in Privacy-Preserving Technologies?
The Price of Pessimism for Automated Defense
A Game Theoretic Model for Defending Against Stealthy Attacks with Limited Resources
(Poster) Adversarial Training Under Data Exclusion Attacks as a Zero-Sum Game
A Methodology to Apply a Game Theoretic Model of Security Risks Interdependencies Between ICT and Electric Infrastructures
Equilibrium Concepts for Rational Multiparty Computation
Optimizing Intrusion Detection Systems Placement Against Network Virus Spreading Using a Partially Observable Stochastic Minimum-Threat Path Game
Password Strength Signaling: A Counter-Intuitive Defense Against Password Cracking
Detection of Dynamically Changing Leaders in Complex Swarms from Observed Dynamic Data
Security Games with Insider Threats
Strategic Discovery and Sharing of Vulnerabilities in Competitive Environments
Multi-stage Dynamic Information Flow Tracking Game
When Should You Defend Your Classifier? - - A Game-Theoretical Analysis of Countermeasures Against Adversarial Examples
Realistic versus Rational Secret Sharing
Flip the Cloud: Cyber-Physical Signaling Games in the Presence of Advanced Persistent Threats
On the Cost of Game Playing: How to Control the Expenses in Mixed Strategies
A Game-Theoretic Framework for Network Security Vulnerability Assessment and Mitigation
(Poster) Zero-Day Risk Estimation Using Security Games
How Much Should I Double Spend My Bitcoin? Game Theory of Quantum Mining
Locally Optimal Solutions for Integer Programming Games in Cybersecurity
Game Theory and AI for Security - 16th International Conference, GameSec 2025, Athens, Greece, October 13-15, 2025, Proceedings, Part I
Adversarial Knapsack for Sequential Competitive Resource Allocation
Tiny online game engines
Secure and Power-Efficient Multi-user Scheduling in Semi-Grant-Free NOMA Networks: A Coalition Game Approach
The Cooperative Ballistic Missile Defence Game
Game Theoretic Model of Strategic Honeypot Selection in Computer Networks
Decision and Game Theory for Security: 14th International Conference, GameSec 2023, Avignon, France, October 18-20, 2023, Proceedings
Game Theoretic Hardware Trojan Testing Under Cost Considerations
Combining Graph Contraction and Strategy Generation for Green Security Games
Data Integrity and Availability Verification Game in Untrusted Cloud Storage
GADAPT: A Sequential Game-Theoretic Framework for Designing Defense-in-Depth Strategies Against Advanced Persistent Threats
Maximizing Influence in Competitive Environments: A Game-Theoretic Approach
Optimal Strategies for Detecting Data Exfiltration by Internal and External Attackers
Incentive Compatibility of Pay Per Last N Shares in Bitcoin Mining Pools
Multi-variate Quickest Detection of Significant Change Process
Approximating Power Indices to Assess Cybersecurity Criticality
Investing in Prevention or Paying for Recovery - Attitudes to Cyber Risk
Defending Against Opportunistic Criminals: New Game-Theoretic Frameworks and Algorithms
Strategic Defense Allocation in Cyber-Physical Sensor Systems Under Dual-Domain Attacks
FlipPath Game to Counter Stealthy Attacks in SDN-Based Tactical Networks
Perfectly Secure Message Transmission Against Independent Rational Adversaries
A True Random Generator Using Human Gameplay
A Three-Stage Colonel Blotto Game: When to Provide More Information to an Adversary
Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks
A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd
Learning Generative Deception Strategies in Combinatorial Masking Games
Effective Anonymous Messaging: The Role of Altruism
Contested Logistics: A Game-Theoretic Approach
A Game Theoretical Model for Optimal Distribution of Network Security Resources
Deterrence of Cyber Attackers in a Three-Player Behavioral Game
Combating Ransomware in Internet of Things: A Games-in-Games Approach for Cross-Layer Cyber Defense and Security Investment
Probabilistic and Predictive Strategies Against Zero-Day Advanced Persistent Threats in Robotic Systems
VIOLA: Video Labeling Application for Security Domains
Colonel Blotto in the Phishing War
Defending against the Unknown Enemy: Applying FlipIt to System Security
Jailbreaking Large Language Models Through Content Concretization
Towards Scientific Incident Response
When In Doubt, Abstain: The Impact of Abstention on Strategic Classification
Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games
Multiple Oracle Algorithm to Solve Continuous Games
The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?
Adversarial Attacks on Continuous Authentication Security: A Dynamic Game Approach
Measuring Cooperation with Counterfactual Planning
Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability
FlipDyn in Graphs: Resource Takeover Games in Graphs
Reward Delay Attacks on Deep Reinforcement Learning
Data Poisoning Attacks in Contextual Bandits
Rule Enforcing Through Ordering
Tracking Games in Mobile Networks
An Asymptotic Solution of Dresher's Guessing Game
Mitigation of Targeted and Non-targeted Covert Attacks as a Timing Game
Adversarial Control in a Delay Tolerant Network
Secure Message Delivery Games for Device-to-Device Communications
Reinforcement Learning for Autonomous Defence in Software-Defined Networking
A Game Theoretic Analysis of the Twitter Follow-Unfollow Mechanism
Intrusion Tolerance as a Two-Level Game
Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games
Security Games for Virtual Machine Allocation in Cloud Computing
Optimal and Game-Theoretic Deployment of Security Investments in Interdependent Assets
A Game-Theoretic Framework for Controlled Islanding in the Presence of Adversaries
Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception
Game-Theoretic Goal Recognition Models with Applications to Security Domains
A Dynamic Bayesian Security Game Framework for Strategic Defense Mechanism Design