yusuke1997/dblp-id-title huggingface dataset:
A Taxonomy of Functional Security Features and How They Can Be Located
Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal Conditioned Policy
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation
Training Deep Learning Models with Hybrid Datasets for Robust Automatic Target Detection on real SAR images
UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
Prompt Engineering for Large Language Model-assisted Inductive Thematic Analysis
From Monolith to Microservices: Software Architecture for Autonomous UAV Infrastructure Inspection
Inference of Personal Attributes from Tweets Using Machine Learning
A Heuristic Method of Generating Diameter 3 Graphs for Order/Degree Problem
Prediction in complex systems: the case of the international trade network
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval
Deep Denoising Auto-encoder for Statistical Speech Synthesis
Classical and quantum satisfiability
Rectifying Shortcut Behaviors in Preference-based Reward Learning
Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing
Automatic assessment of spoken language proficiency of non-native children
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers
Taming Waves: A Physically-Interpretable Machine Learning Framework for Realizable Control of Wave Dynamics
Facial Emotion Recognition: State of the Art Performance on FER2013
Tracking Walls, Take-It-Or-Leave-It Choices, the GDPR, and the ePrivacy Regulation
Considering Spatial Structure of the Road Network in Pavement Deterioration Modeling
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia
Adding a new site in an existing Oracle Multimaster replication without quiescing the replication
KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained Alignment
DT-NVS: Diffusion Transformers for Novel View Synthesis
System Metamodel Formalism
Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN
A probabilistic framework for dynamic quantization
Chat-Driven Reconfiguration of Model Predictive Control
Reconfigurable Intelligent Surface aided Integrated-Navigation-and-Communication in Urban Canyons: A Satellite Selection Approach
Coded Distributed (Batch) Matrix Multiplication over Galois Ring via RMFE
Light-Weight RetinaNet for Object Detection
Integrating User Design and Formal Models within PVSio-Web
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
Visualizing Deep Graph Generative Models for Drug Discovery
Testing distributional assumptions of learning algorithms
RASP for LSASS: Preventing Mimikatz-Related Attacks
AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions
Evacuation trials from a double-deck electric train unit: Experimental data and sensitivity analysis
A Meta-Bayesian Model of Intentional Visual Search
Bridge Thinking and Acting: Unleashing Physical Potential of VLM with Generalizable Action Expert
Identifying all abelian periods of a string in quadratic time and relevant problems
Pinching-Antenna Systems (PASS)-based Indoor Positioning
Utilizing Reinforcement Learning for Bottom-Up part-wise Reconstruction of 2D Wire-Frame Projections
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning
General Riemannian SOM
A Speech-to-Video Synthesis Approach Using Spatio-Temporal Diffusion for Vocal Tract MRI
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs
A probabilistic view of latent space graphs and phase transitions
A Sampling Theory Perspective of Graph-based Semi-supervised Learning
Guide3D: Create 3D Avatars from Text and Image Guidance
Type Based Sign Modulation for Molecular Communication
Stability, Fairness and Random Walks in the Bargaining Problem
Fast and Near-Optimal Matrix Completion via Randomized Basis Pursuit
Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing
Appearance-free Tripartite Matching for Multiple Object Tracking
Stochastic Variational Smoothed Model Checking
Uncertainty-Aware Task Allocation for Distributed Autonomous Robots
Approximate String Matching: Theory and Applications (La Recherche Approchée de Motifs : Théorie et Applications)
A Model for Android and iOS Applications Risk Calculation: CVSS Analysis and Enhancement Using Case-Control Studies
Linear-time Computation of Minimal Absent Words Using Suffix Array
A Decentralized Multi-Agent Unmanned Aerial System to Search, Pick Up, and Relocate Objects
Agile Development of Linux Schedulers with Ekiben
Location of Single Neuron Memories in a Hebbian Network
Repairing Serializability Bugs in Distributed Database Programs via Automated Schema Refactoring
Revisiting Randomization in Greedy Model Search
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
GRASPEL: Graph Spectral Learning at Scale
Estimating Spatially Resolved Radiation Fields Using Neural Networks
Modeling financial analysts' decision making via the pragmatics and semantics of earnings calls
Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI
The WhyRel Prototype for Relational Verification
Uncertainty-driven Adaptive Exploration
GLC actors, artificial chemical connectomes, topological issues and knots
Latent Matrices for Tensor Network Decomposition and to Tensor Completion
IcSDE+ - An Indicator for Constrained Multi-Objective Optimization
FADEWICH: Fast Deauthentication over the Wireless Channel
Learning Optimal Tree Models Under Beam Search
Health Disparities through Generative AI Models: A Comparison Study Using A Domain Specific large language model
Pareto-Improving Data-Sharing
A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Models
Personalized Chain-of-Thought Summarization of Financial News for Investor Decision Support
Knowledge Query Network: How Knowledge Interacts with Skills
Securing Autonomous Vehicles Under Partial-Information Cyber Attacks on LiDAR Data
Generalized Frank-Wolfe Algorithm for Bilevel Optimization
Learning disturbance models for offset-free reference tracking
Bridge Networks
Discourse-Aware Neural Extractive Model for Text Summarization
Model based approach to study Defect Dependency in Large Scale Integrated Software Products
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos
Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment
Fifty Three Matrix Factorizations: A systematic approach
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
High-Fidelity Facial Albedo Estimation via Texture Quantization
FDMA with Layers-based Optimized Mobile Relays Subsets Algorithm in B5G/6G Cognitive IoT Networks
The Duck's Brain: Training and Inference of Neural Networks in Modern Database Engines
Test-time Adaptive Vision-and-Language Navigation
Counterfactual Generation with Answer Set Programming
Unified Group Fairness on Federated Learning
Examining Gender and Power on Wikipedia Through Face and Politeness
Finite-sample expansions for the optimal error probability in asymmetric binary hypothesis testing
Guaranteed convergence for a class of coupled-cluster methods based on Arponen's extended theory
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding
Incorporating a 'ladder of trust' into dynamic Allocation of Function in Human-Autonomous Agent Collectives
QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
Disjunctive Boolean Kernels for Collaborative Filtering in Top-N Recommendation
A Convergent Algorithm for Bi-orthogonal Nonnegative Matrix Tri-Factorization
Temporal Analysis of Literary and Programming Prose
Joint Beamforming and Trajectory Optimization for Multi-UAV-Assisted Integrated Sensing and Communication Systems
Retrofitting Control Flow Graphs in LLVM IR for Auto Vectorization
An Application of Bayesian classification to Interval Encoded Temporal mining with prioritized items
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting
EWE: An Agentic Framework for Extreme Weather Analysis
DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Set-based Control for Autonomous Spray Painting
ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs
A Novel VHR Image Change Detection Algorithm Based on Image Fusion and Fuzzy C-Means Clustering
Causal Discovery under Identifiable Heteroscedastic Noise Model
Simple Simultaneous Ensemble Learning in Genetic Programming
GPU-Accelerated Syndrome Decoding for Quantum LDPC Codes below the 63 μs Latency Threshold
TDL - A Type Description Language for Constraint-Based Grammars
DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Transformer and Mamba
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
Hybrid TDOA/RSS Based Localization for Visible Light Systems
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling
Self-Jailbreaking: Language Models Can Reason Themselves Out of Safety Alignment After Benign Reasoning Training
The Impact of Employment Web Sites' Traffic on Unemployment: A Cross Country Comparison
ExTASY: Scalable and Flexible Coupling of MD Simulations and Advanced Sampling Techniques
M3ST: Mix at Three Levels for Speech Translation
Improved StyleGAN Embedding: Where are the Good Latents?
A matheuristic approach for the $b$-coloring problem using integer programming and a multi-start multi-greedy randomized metaheuristic
Notes on Lipschitz Margin, Lipschitz Margin Training, and Lipschitz Margin p-Values for Deep Neural Network Classifiers
Maximizing Submodular Set Functions Subject to Different Constraints: Combined Algorithms
Confidence Intervals for Evaluation of Data Mining
Remote Sensing and Machine Learning for Food Crop Production Data in Africa Post-COVID-19
Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering
A study of trends in the effects of TV ratings and social media (Twitter) - Case study 1
Maximum Mean Discrepancy Meets Neural Networks: The Radon-Kolmogorov-Smirnov Test
Hyperresolution for Multi-step Fuzzy Inference in Goedel Logic
Comparative evaluation of community-aware centrality measures
Viva the h-index
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
Loss Rate Based Fountain Codes for Data Transfer
IKT-BT: Indirect Knowledge Transfer Behavior Tree Framework for Multi-Robot Systems Through Communication Eavesdropping
Analysis of parametric biological models with non-linear dynamics
Braess like Paradox in a Small World Network
PAS: Partial Additive Speech Data Augmentation Method for Noise Robust Speaker Verification
Quantification of Bore Path Uncertainty in Borehole Heat Exchanger Arrays
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL
G2T: A Simple but Effective Framework for Topic Modeling based on Pretrained Language Model and Community Detection
D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution
Session Types = Intersection Types + Union Types
ROIPCA: An Online PCA algorithm based on rank-one updates
PyExaFMM: an exercise in designing high-performance software with Python and Numba
From Observation to Orientation: an Adaptive Integer Programming Approach to Intervention Design
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics
Generative models for scalar field theories: how to deal with poor scaling?
Metrical Task Systems with Online Machine Learned Advice
Agnostic Process Tomography
Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network
Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
Multi-Loss Learning for Speech Emotion Recognition with Energy-Adaptive Mixup and Frame-Level Attention
Regression-based Intra-prediction for Image and Video Coding
Starling Formation-Flying Optical Experiment: Initial Operations and Flight Results
Deep Finite Volume Method for High-Dimensional Partial Differential Equations
ChainReaction! Structured Approach with Causal Chains as Intermediate Representations for Improved and Explainable Causal Video Question Answering
Loss Functions for Neural Networks for Image Processing
Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions
Score Function Features for Discriminative Learning: Matrix and Tensor Framework
Explainable time-series forecasting with sampling-free SHAP for Transformers
Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction
A new lightweight additive homomorphic encryption algorithm
An algorithm for the k-error linear complexity of a sequence with period 2pn over GF(q)
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning
Construction of a Japanese Financial Benchmark for Large Language Models
Query-based Adversarial Attacks on Graph with Fake Nodes
Detecting Anchors' Opinion in Hinghlish News Delivery
Offline timed pattern matching under uncertainty
Riesz networks: scale invariant neural networks in a single forward pass
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
Non-Malleable Codes from the Wire-Tap Channel
Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness
An infinite-server queueing model MMAPkGk in semi-Markov random environment with marked MAP arrival and subject to catastrophes
GFocal: A Global-Focal Neural Operator for Solving PDEs on Arbitrary Geometries
Construction A Lattice Design Based on the Truncated Union Bound
Hamiltonian Monte Carlo Particle Swarm Optimizer
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Report on a User Test and Extension of a Type Debugger for Novice Programmers
Using large language models for (de-)formalization and natural argumentation exercises for beginner's students
Semantically Enhanced Software Traceability Using Deep Learning Techniques
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements
MDeRainNet: An Efficient Neural Network for Rain Streak Removal from Macro-pixel Images
Discrete Optimal Global Convergence of an Evolutionary Algorithm for Clusters under the Potential of Lennard Jones
BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design
A Criterion for Quantum Advantage
Agent-SafetyBench: Evaluating the Safety of LLM Agents
GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training
Synchronization Analysis in Physical Layer Network Coding
Heard or Halted? Gender, Interruptions, and Emotional Tone in U.S. Supreme Court Oral Arguments
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
Learning Spatially-Aware Language and Audio Embedding
Breaking Down the Hierarchy: A New Approach to Leukemia Classification
Implicit Delta Learning of High Fidelity Neural Network Potentials
Improving short-term bike sharing demand forecast through an irregular convolutional neural network
An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interface
A latent shared-component generative model for real-time disease surveillance using Twitter data
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain
Robust Flight Control of a Small Unmanned Helicopter
Strengthening Programming Comprehension in Large Language Models through Code Generation
ChronoConnect: Tracking Pathways Along Highly Dynamic Vertices in Temporal Graphs
Convergence Guarantees for Stochastic Subgradient Methods in Nonsmooth Nonconvex Optimization
How to restart? An agent-based simulation model towards the definition of strategies for COVID-19 "second phase" in public buildings
An Efficient Algorithm for Permutation Iteration Using a Singly Linked List
Generative AI and the Digital Commons
On the Cooperative Communication over Cognitive Interference Channel
BLiMP: A Benchmark of Linguistic Minimal Pairs for English
Rainbow Arborescence Conjecture
Guidance Trajectory Mathematical Modeling
Characterizing Large-Scale Adversarial Activities Through Large-Scale Honey-Nets
A New Block Preconditioner for Implicit Runge-Kutta Methods for Parabolic PDE
Discrete solution pools and noise-contrastive estimation for predict-and-optimize
GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models
Unsupervised Parallel Extraction based Texture for Efficient Image Representation
Generative AI and Digital Neocolonialism in Global Education: Towards an Equitable Framework
The Necessity of AI Audit Standards Boards
MimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer
Transmission Control of Two-User Slotted ALOHA Over Gilbert-Elliott Channel: Stability and Delay Analysis
Enumeration Problems Related to Ground Horn Theories
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data
Knowledge Graph Enhanced Language Agents for Recommendation
Parity games and universal graphs
Optimization in SMT with LA(Q) Cost Functions
Interstellar Communication: The Case for Spread Spectrum
Implementing a fog/cloud architecture for supporting stream data management
A Cross-Modal Image Fusion Theory Guided by Human Visual Characteristics
DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models
An Efficient Dynamic Programming Algorithm for the Generalized LCS Problem with Multiple Substring Exclusion Constrains
Machine Learning-Based Test Smell Detection
The Senses Considered as One Perceptual System
Bootstrapping Autonomous Radars with Self-Supervised Learning
SLVR: Securely Leveraging Client Validation for Robust Federated Learning
Sparse Regression Codes for Integrated Passive Sensing and Communications
Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval
Solving Packing and Covering LPs in Õ(1/ε 2 ) Distributed Iterations with a Single Algorithm and Simpler Analysis
Combinatorial aspect of fashion
Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction
Neural Graph Mapping for Dense SLAM with Efficient Loop Closure
Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations
Latent Diffusion Model-Enabled Real-Time Semantic Communication Considering Semantic Ambiguities and Channel Noises
Application of Modified Multi Model Predictive Control Algorithm to Fluid Catalytic Cracking Unit
Multi-Depth Branches Network for Efficient Image Super-Resolution
Implementing Performance Portability of High Performance Computing Programs in the New Golden Age of Chip Architecture
Nonlinear Schwarz methods to compute geodesics on manifolds
Generalized Kullback-Leibler Divergence Loss
IFFair: Influence Function-driven Sample Reweighting for Fair Classification
Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors
Petri Games: Synthesis of Distributed Systems with Causal Memory
A Framework for Real-Time Volcano-Seismic Event Recognition Based on Multi-Station Seismograms and Semantic Segmentation Models
Approximating Partition Functions of Two-State Spin Systems
Complexity Results on Untangling Planar Rectilinear Red-Blue Matchings
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
PhiNets: a scalable backbone for low-power AI at the edge
Explicit Sign-Magnitude Encoders Enable Power-Efficient Multipliers
A Decision Support Method for Recommending Degrees of Exploration in Exploratory Testing
Photometric Inverse Rendering: Shading Cues Modeling and Surface Reflectance Regularization
Driving asynchronous distributed tasks with events
Quality evaluation of Tabby coding assistant using real source code snippets
AI/ML for Beam Management in 5G-Advanced
A Buffer-aided Successive Opportunistic Relay Selection Scheme with Power Adaptation and Inter-Relay Interference Cancellation for Cooperative Diversity Systems
Zero-Shot Subject-Centric Generation for Creative Application Using Entropy Fusion
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning
Extension of Optimal Locally Repairable codes
Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning
Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping
Mobility-aware Seamless Service Migration and Resource Allocation in Multi-edge IoV Systems
Exploring a Gamified Personality Assessment Method through Interaction with Multi-Personality LLM Agents
On the complexity of graphs (networks) by information content, and conditional (mutual) information given other graphs
Numerical Fredholm determinants for matrix-valued kernels on the real line
Building the information kernel and the problem of recognition
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs
Capture Dense: Markerless Motion Capture Meets Dense Pose Estimation
Liveness Verification and Synthesis: New Algorithms for Recursive Programs
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review
On Optimality Condition of Complex Systems: Computational Evidence
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images
Passivity Degradation In Discrete Control Implementations: An Approximate Bisimulation Approach
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks
The virtual CAT: A tool for algorithmic thinking assessment in Swiss compulsory education
WikiDoMiner: Wikipedia Domain-specific Miner
A Synonym Based Approach of Data Mining in Search Engine Optimization
Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Barely Biased Learning for Gaussian Process Regression
Some Remarks on Bayesian Multiple Hypothesis Testing
Towards Automated Scoping of AI for Social Good Projects
Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning
Autodecompose: A generative self-supervised model for semantic decomposition
Implicit media frames: Automated analysis of public debate on artificial sweeteners
Cross-Lingual Conversational Speech Summarization with Large Language Models
A two-stage stochastic programming model for electric substation flood mitigation prior to an imminent hurricane
Insta-VAX: A Multimodal Benchmark for Anti-Vaccine and Misinformation Posts Detection on Social Media