yusuke1997/dblp-id-title huggingface dataset:
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
Communicability reveals a transition to coordinated behavior in multiplex networks
Codeathon Activity: A Design Prototype for Real World Problems
A Benchmark for Breast Ultrasound Image Segmentation (BUSIS)
QUINTA: Reflexive Sensibility For Responsible AI Research and Data-Driven Processes
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming
Blockwise Feature Interaction in Recommendation Systems
Augmented Reality-Based Smart Structural Health Monitoring System With Accurate 3D Model Alignment
Analysis of Blood Report Images Using General Purpose Vision-Language Models
UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes
Context-Sensitive Abstract Interpretation of Dynamic Languages
Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation
Kernel Density Bayesian Inverse Reinforcement Learning
X-Guard: Multilingual Guard Agent for Content Moderation
Survey-Based Calibration of the One-Community and Two-Community Social Network Models Used for Testing Singapore's Resilience to Pandemic Lockdown
Modulation Classification of MIMO-OFDM Signals by Independent Component Analysis and Support Vector Machines
Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations
Interactive Information Need Prediction with Intent and Context
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation
In-network Compression for Multiterminal Cascade MIMO Systems
Solving Two-Player Zero-Sum Repeated Bayesian Games
TDBench: Benchmarking Vision-Language Models in Understanding Top-Down Images
On the Feasibility of Using LLMs to Execute Multistage Network Attacks
Oblivious transfer based on single-qubit rotations
Instituto de Telecomunicações at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning
Low-Complexity Detection/Equalization in Large-Dimension MIMO-ISI Channels Using Graphical Models
A structure-preserving approximation of the discrete split rotating shallow water equations
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks
Trust or Bust: A Survey of Threats in Decentralized Wireless Networks
A direct reduction of PPAD Lemke-verified linear complementarity problems to bimatrix games
CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
Denotational semantics for normal modal logics with propositional quantifiers and identity
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Learning to Fast Unrank in Collaborative Filtering Recommendation
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
Posthoc Verification and the Fallibility of the Ground Truth
Data Transformation Strategies to Remove Heterogeneity
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI Researchers
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application
Success at high peaks: a multiscale approach combining individual and expedition-wide factors
A Brief Review of Nature-Inspired Algorithms for Optimization
Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
Identifying individual facial expressions by deconstructing a neural network
CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs
Evaluating Methods to Rediscover Missing Web Pages from the Web Infrastructure
Machine-learning custom-made basis functions for partial differential equations
Distance-based Node Sampling using Drifting Random Walks
CPePC: Cooperative and Predictive Popularity based Caching for Named Data Networks
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration
Neural networks learn to magnify areas near decision boundaries
PhysioKit: Open-source, Low-cost Physiological Computing Toolkit for Single and Multi-user Studies
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
From Local to Global Order: A Theory of Neural Synaptic Balance
Analysis of Age-Energy Trade-off in IoT Networks Using Stochastic Geometry
Uncertainty Quantification in Multiscale Modeling of Polymer Composite Materials Using Physically Recurrent Neural Networks
Cost-Effective Conceptual Design Using Taxonomies
Machine Learning and Knowledge: Why Robustness Matters
Constant Rank Bimatrix Games are PPAD-hard
Enhancing Keyphrase Extraction from Microblogs using Human Reading Time
Public key Steganography Using Discrete Cross-Coupled Chaotic Maps
Scalable and Passive Wireless Network Clock Synchronization
On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel
Whale Optimization Algorithm-based Fractional Order Fuzzy Type-II PI Control for Modular Multilevel Converters
JEDAI Explains Decision-Making AI
Website Optimization through Mining User Navigational Pattern
Open Implementation and Study of BEST-RQ for Speech Processing
Multimodal Oncology Agent for IDH1 Mutation Prediction in Low-Grade Glioma
Analytical calculation of fragmentation transitions in adaptive networks
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach
Physical based compact model of Y-Flash memristor for neuromorphic computation
Collecting Coupons with Random Initial Stake
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations
Embedding Power Flow into Machine Learning for Parameter and State Estimation
Unsupervised and self-adaptative techniques for cross-domain person re-identification
False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction
Stability of Polynomial Differential Equations: Complexity and Converse Lyapunov Questions
A deep belief network-based method to identify proteomic risk markers for Alzheimer disease
Boosting Virtual Agent Learning and Reasoning: A Step-wise, Multi-dimensional, and Generalist Reward Model with Benchmark
GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval
Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing
Contrastive Learning-Based Dependency Modeling for Anomaly Detection in Cloud Services
Indistinguishability and semantic security for quantum encryption scheme
Fracture Networks: Analysis with Graph Theory, LBM and FEM
Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity
DART: A Compact Platform For Autonomous Driving Research
From Sands to Mansions: Enabling Automatic Full-Life-Cycle Cyberattack Construction with LLM
Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks
Can Shadows Reveal Biometric Information?
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service
Mapping System Level Behaviors with Android APIs via System Call Dependence Graphs
A GPU-ready pseudo-spectral method for direct numerical simulations of multiphase turbulence
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications
HRTR: A Single-stage Transformer for Fine-grained Sub-second Action Segmentation in Stroke Rehabilitation
Modularity-based Backbone Extraction in Weighted Complex Networks
Norm Monitoring under Partial Action Observability
OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning
Probabilistic symmetry and invariant neural networks
Exploring Privacy Implications in OAuth Deployments
Connected Vehicle Platforms for Dynamic Insurance
Tunable Superconducting Magnetic Levitation with Self-Stability
Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment
Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability
Primal-Only Actor Critic Algorithm for Robust Constrained Average Cost MDPs
Dynamic Reserve and Transmission Capacity Allocation in Wind-Dominated Power Systems
CorrMAE: Pre-training Correspondence Transformers with Masked Autoencoder
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
NEXP-completeness and Universal Hardness Results for Justification Logic
An efficient algorithm to find a set of nearest elements in a mesh
Semi-Automatic Data Annotation guided by Feature Space Projection
Bi-level Mixed-Integer Nonlinear Optimization for Pelagic Island Microgrid Group Energy Management Considering Uncertainty
Iterative thresholding low-rank time integration
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
Multiscale geometrical and topological learning in the analysis of soft matter collective dynamics
NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder
Word Embedding Visualization Via Dictionary Learning
Cyber Security in Containerization Platforms: A Comparative Study of Security Challenges, Measures and Best Practices
Variational Composite Autoencoders
Bounded-degree plane geometric spanners in practice
Geometric Computing with Chain Complexes: Design and Features of a Julia Package
Algorithms for screening of Cervical Cancer: A chronological review
End-to-End Learned Random Walker for Seeded Image Segmentation
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms
A Deterministic Algorithm for the MST Problem in Constant Rounds of Congested Clique
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection
Large Language Models in Architecture Studio: A Framework for Learning Outcomes
Online Proportional Apportionment
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks
Arbitrarily High-order Linear Schemes for Gradient Flow Models
A Quantum Fuzzy-based Approach for Real-Time Detection of Solar Coronal Holes
O2S: Open-source open shuttle
Deterministic Real-Time Tree-Walking-Storage Automata
Wireless Network Information Flow
A Rewriting Framework for Cyber-Physical Systems
Temporal Graph Functional Dependencies - Technical Report
A Transactive Retail Market Mechanism for Active Distribution Network Integrated with Large-scale Distributed Energy Resources
Improving Presentation Attack Detection for ID Cards on Remote Verification Systems
Distributed Coordination for Heterogeneous Non-Terrestrial Networks
SoK: How Sensor Attacks Disrupt Autonomous Vehicles: An End-to-end Analysis, Challenges, and Missed Threats
Entropy Decision Fusion for Smartphone Sensor based Human Activity Recognition
AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking
Role of CT in the Survival of Small and Medium Scale Enterprises in Ghana Evidence from selected Small and Medium Scale Enterprises in New Juaben Municipality Koforidua
Repairing Generalized Reed-Muller Codes
Asymptotic Error Bounds and Fractional-Bit Design for Fixed-Point Grover's Quantum Algorithm Emulation
PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions
Response Surface Methodology coupled with desirability functions for multi-objective optimization: minimizing indoor overheating hours and maximizing useful daylight illuminance
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network
GooFit 2.0
3D-SSM: A Novel 3D Selective Scan Module for Remote Sensing Change Detection
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos
DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study
Classification of optics-free images with deep neural networks
Expanding FLORES+ Benchmark for more Low-Resource Settings: Portuguese-Emakhuwa Machine Translation Evaluation
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention
How to Elect a Leader Faster than a Tournament
Dynamic Safety Message Power Control in VANET Using PSO
CLAIRE: Combining Sets, Search And Rules To Better Express Algorithms
Effectiveness of Adversarial Benign and Malware Examples in Evasion and Poisoning Attacks
Mechanical behaviour of brain-skull interface (meninges) under shear loading through experiment and finite element modelling: Preliminary results
A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on Partition of Unity method
Asca: less audio data is more insightful
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
Understanding Adverse Biological Effect Predictions Using Knowledge Graphs
Some Statistic and Information-theoretic Results On Arithmetic Average Fusion
Anatomy of the gem5 Simulator: AtomicSimpleCPU, TimingSimpleCPU, O3CPU, and Their Interaction with the Ruby Memory System
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion
Few-shot bioacoustic event detection at the DCASE 2023 challenge
Um banco de dados de empregos formais georreferenciados em cidades brasileiras
Network Coding with Link Layer Cooperation in Wireless Mesh Networks
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care
Integrating AI in Educational Measurement: ChatGPT's Efficacy in Item Response Theory Data Generation
TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks
Force-EvT: A Closer Look at Robotic Gripper Force Measurement with Event-based Vision Transformer
A more direct and better variant of New Q-Newton's method Backtracking for m equations in m variables
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification
Incremental Interpretation: Applications, Theory, and Relationship to Dynamic Semantics
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Federated Linear Dueling Bandits
Invariant Stochastic Encoders
Isomorphic unordered labeled trees up to substitution ciphering
M-GRPO: Stabilizing Self-Supervised Reinforcement Learning for Large Language Models with Momentum-Anchored Policy Optimization
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards
Stack Over-Flowing with Results: The Case for Domain-Specific Pre-Training Over One-Size-Fits-All Models
Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss
Similarity Learning for Time Series Classification
Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
Harm Amplification in Text-to-Image Models
Better bounds for poset dimension and boxicity
Locally Permuted Low Rank Column-wise Sensing
Self-supervised Event-based Monocular Depth Estimation using Cross-modal Consistency
On Generalizing Trace Minimization Principles, II
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations
Enabling Reproducible Science with VisTrails
Ev-Trust: A Strategy Equilibrium Trust Mechanism for Evolutionary Games in LLM-Based Multi-Agent Services
Multi-Objective Multi-mode Time-Cost Tradeoff modeling in Construction Projects Considering Productivity Improvement
Calculation of Stochastic Heating and Emissivity of Cosmic Dust Grains with Optimization for the Intel Many Integrated Core Architecture
Detecting the Presence of COVID-19 Vaccination Hesitancy from South African Twitter Data Using Machine Learning
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC
Strong tractability for multivariate integration in a subspace of the Wiener algebra
Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
SAT for pedestrians
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
Intelligent Technologies in Model Base Management System Design Automation
SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF
Fitting IVIM with Variable Projection and Simplicial Optimization
Attention over Parameters for Dialogue Systems
Hypo-paradoxical Linkages: Linkages That Should Move-But Don't
A WECC-based Model for Simulating Two-stage Market Clearing with High-temporal-resolution
Collar-aware Training for Streaming Speaker Change Detection in Broadcast Speech
Understanding Lookahead Dynamics Through Laplace Transform
Deep Anti-aliasing of Whole Focal Stack Using its Slice Spectrum
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation
Enhancing Supply Chain Resilience with Metaverse and ChatGPT Technologies
FACOS: Enabling Privacy Protection Through Fine-Grained Access Control with On-chain and Off-chain System
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
Not all those who drift are lost: Drift correction and calibration scheduling for the IoT
Efficiently handling constraints with Metropolis-adjusted Langevin algorithm
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning
Physics-Informed Diffusion Models for SAR Ship Wake Generation from Text Prompts
Self-Optimizing and Pareto-Optimal Policies in General Environments based on Bayes-Mixtures
On the Lambek Calculus with an Exchange Modality
Short-term prediction of Time Series based on bounding techniques
ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification
Enhancing Soft Happiness via Evolutionary Algorithms
Lessons from Defending Gemini Against Indirect Prompt Injections
Predicting Muscle Thickness Deformation from Muscle Activation Patterns: A Dual-Attention Framework
A Review of 40 Years of Cognitive Architecture Research: Focus on Perception, Attention, Learning and Applications
Network delay-aware load balancing in selfish and cooperative distributed systems
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task
A Low-Power 9-bit Pipelined CMOS ADC with Amplifier and Comparator Sharing Technique
Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques
Cellular Automata Simulation on FPGA for Training Neural Networks with Virtual World Imagery
DeeBBAA: A benchmark Deep Black Box Adversarial Attack against Cyber-Physical Power Systems
A novel Mortar Method Integration using Radial Basis Functions
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
Model Selection for Generalized Zero-shot Learning
Homomorphisms between graphs embedded on surfaces
Detection of Dangerous Events on Social Media: A Perspective Review
State-Compensation-Linearization-Based Stability Margin Analysis for a Class of Nonlinear Systems: A Data-Driven Method
An Adversarial Example for Direct Logit Attribution: Memory Management in gelu-4l
Enhanced Energy-Saving Mechanisms in TSCH Networks for the IIoT: the PRIL Approach
A Connectivity-Aware Multi-level Finite-Element System for Solving Laplace-Beltrami Equations
Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation
Event-Triggered Islanding in Inverter-Based Grids
Generating Binary Optimal Codes Using Heterogeneous Parallel Computing
Highly Scalable and Provably Accurate Classification in Poincare Balls
Mechanistic Interpretability in the Presence of Architectural Obfuscation
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level
Extending Design by Contract for Aspect-Oriented Programming
Neuromorphic spintronics simulated using an unconventional data-driven Thiele equation approach
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Architecture-Aware Configuration and Scheduling of Matrix Multiplication on Asymmetric Multicore Processors
Game-theoretical model of cooperation between producers in a production process: 3-agent interaction case
Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data
Complexity of Shift Spaces on Semigroups
Generating Adversarial Fragments with Adversarial Networks for Physical-world Implementation
Which cities produce excellent papers worldwide more than can be expected? A new mapping approach--using Google Maps--based on statistical significance testing
PERF: Panoramic Neural Radiance Field from a Single Panorama
C-Procgen: Empowering Procgen with Controllable Contexts
Visual Tracking via Boolean Map Representations
Explicit bases of the Riemann-Roch spaces on divisors on hyperelliptic curves
Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search
A Deep Learning Approximation of Non-Stationary Solutions to Wave Kinetic Equations
Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation
Towards Enhancing In-Context Learning for Code Generation
Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU)
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning
Self-supervised learning methods and applications in medical imaging analysis: A survey
A parallel solver for FSI problems with fictitious domain approach
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems
Entropy After <\Think> for reasoning model early exiting
Breaking the curse of dimensionality for linear rules: optimal predictors over the ellipsoid
AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems
Hidden Dynamics of Massive Activations in Transformer Training
Stochastic Blockmodel and Exploratory Analysis in Signed Networks
Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction
Where and When: Space-Time Attention for Audio-Visual Explanations
In folly ripe. In reason rotten. Putting machine theology to rest
An Overview Of 3D Object Detection
SDQ-LLM: Sigma-Delta Quantization for 1-bit LLMs of any size
Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
Identifying change patterns in software history
CP 3 : Channel Pruning Plug-in for Point-based Networks
Online tuning and light source control using a physics-informed Gaussian process Adi
Tinker or Transfer? A Tale of Two Techniques in Teaching Visualization
Open Government Data Programs and Information Privacy Concerns: A Literature Review
DataDeps.jl: Repeatable Data Setup for Replicable Data Science
Tight Success Probabilities for Quantum Period Finding and Phase Estimation
Fail-safe optimization of viscous dampers for seismic retrofitting
Interference Cancellation Information Geometry Approach for Massive MIMO Channel Estimation
Serializable HTAP with Abort-/Wait-free Snapshot Read