yusuke1997/dblp-id-title huggingface dataset:
A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions
Digitization of Raster Logs: A Deep Learning Approach
Transmission line parameter identification using PMU measurements
An Open Data and Geo-based Information Systems
Representation-Compatible Power Indices
Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
Rational Neural Network Controllers
Generating High-quality Symbolic Music Using Fine-grained Discriminators
Fatal Attractors in Parity Games: Building Blocks for Partial Solvers
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Universal codes in the shared-randomness model for channels with general distortion capabilities
Modeling and Analysis of D2D Millimeter-Wave Networks with Poisson Cluster Processes
Grammatical Constraints on Intra-sentential Code-Switching: From Theories to Working Models
Parabolic optimal control with strongly monotone quasilinearity and its time discretization
JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications
Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation
Don't Walk the Line: Boundary Guidance for Filtered Generation
Comparative Personalization for Multi-document Summarization
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications
Goal-oriented adaptive multilevel stochastic Galerkin FEM
Indexing the Sphere with the Hierarchical Triangular Mesh
Token-based Audio Inpainting via Discrete Diffusion
The Axiomatic Foundation of Space in GFO
Cooperative Beamforming in Cognitive Radio Relay Networks Using Amplify-and-Forward Relaying Technique
MotifNet: a motif-based Graph Convolutional Network for directed graphs
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
A note on the fast power series' exponential
FBS Model-based Maintenance Record Accumulation for Failure-Cause Inference in Manufacturing Systems
On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms
Orbital Angular Momentum (OAM) Carrying Vortex Wave generation in Dielectric Filled Circular Waveguide
Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation
Deep Learning Hamiltonian Monte Carlo
Storage and Memory Characterization of Data Intensive Workloads for Bare Metal Cloud
Second-order optimization with lazy Hessians
Modelling of coupled surface and subsurface water flows
Clustering of tag-induced sub-graphs in complex networks
Hand Orientation Estimation in Probability Density Form
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
On Stability and Generalization of Bilevel Optimization Problem
Asynchronous logic circuits and sheaf obstructions
MetaOnce: A Metaverse Framework Based on Multi-scene Relations and Entity-relation-event Game
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
Malliavin-Bismut Score-based Diffusion Models
CityBench: Evaluating the Capabilities of Large Language Model as World Model
The Future of Document Verification: Leveraging Blockchain and Self-Sovereign Identity for Enhanced Security and Transparency
Co-training for On-board Deep Object Detection
Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR
Heuristic Algorithms for RIS-assisted Wireless Networks: Exploring Heuristic-aided Machine Learning
Multi-View Contrastive Network (MVCNet) for Motor Imagery Classification
AngryAnts: A Citizen Science Approach to Computing Accurate Average Trajectories
Assessing Trustworthiness of Autonomous Systems
Neural networks in 3D medical scan visualization
Designing a Collaborative Research Environment for Students and their Supervisors (CRESS)
Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart
Mean-Field Games with Constraints
What are the odds? Risk and uncertainty about AI existential risk
ISBNet: Instance-aware Selective Branching Network
Leakage-resilient Cryptography with key derived from sensitive data
SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
Local Averaging Helps: Hierarchical Federated Learning and Convergence Analysis
Human not in the loop: objective sample difficulty measures for Curriculum Learning
Synthesizing facial photometries and corresponding geometries using generative adversarial networks
Parameter-Free Segmentation of Robot Movements with Cross-Correlation Using Different Similarity Metrics
A Novel Approach for Verifiable Secret Sharing by using a One Way Hash Function
Discretization of Maxwell's Equations for Non-inertial Observers Using Space-Time Algebra
Deep trip generation with graph neural networks for bike sharing system expansion
Assessing Problem Decomposition in CS1 for the GenAI Era
Tracking Discourse Influence in Darknet Forums
Hierarchical Prompts for Rehearsal-free Continual Learning
Slicing the Network: Maintaining Neutrality, Protecting Privacy, and Promoting Competition
Variance reduction in Texas hold'em and in video poker
Optimal Prediction of Synchronization-Preserving Races
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation
ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions
Resilient Control of Platooning Networked Robitic Systems via Dynamic Watermarking
Optimal Covid-19 Pool Testing with a priori Information
Perceptions of Agentic AI in Organizations: Implications for Responsible AI and ROI
Gröbner Bases over Algebraic Number Fields
Understanding Few-Shot Commonsense Knowledge Models
mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling
Secure Routing Path Using Trust Values for Wireless Sensor Networks
Breiman's two cultures: You don't have to choose sides
Assessing User Interface Design Artifacts: A Tool-Supported Behavior-Based Approach
Command & Control: Understanding, Denying and Detecting
Lissard: Long and Simple Sequential Reasoning Datasets
Evidence of Phase Transitions in Small Transformer-Based Language Models
How Good Is It? Evaluating the Efficacy of Common versus Domain-Specific Prompts on Foundational Large Language Models
PhD dissertation to infer multiple networks from microbial data
Predicting triadic closure in networks using communicability distance functions
Self-supervised learning of inverse problem solvers in medical imaging
A smack of all neighbouring languages: How multilingual is scholarly communication?
PathoHR: Hierarchical Reasoning for Vision-Language Models in Pathology
Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning
Sparsity Based Methods for Overparametrized Variational Problems
Towards Balanced Three-phase Charging: Phase Optimization in Adaptive Charging Networks
Une sémantique observationnelle du modèle des boîtes pour la résolution de programmes logiques (version étendue)
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
On the Capacity of Channels with Synchronization Errors
Observation-Free Attacks on Online Learning to Rank
Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation
EduEval: A Hierarchical Cognitive Benchmark for Evaluating Large Language Models in Chinese Education
Dynamic parameterized problems on unit disk graphs
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction
Guided Image-to-Image Translation with Bi-Directional Feature Transformation
Large-Scale Approximate Kernel Canonical Correlation Analysis
Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints
NeLF-Pro: Neural Light Field Probes
Asymptotics of the spectral radius for directed Chung-Lu random graphs with community structure
Quantum-inspired classical algorithms for principal component analysis and supervised clustering
GUNDAM: Aligning Large Language Models with Graph Understanding
Causal isotonic calibration for heterogeneous treatment effects
Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning - an Efficiency Analysis Study
Embedded Model Control of Networked Control Systems: an Experimental Case-study - Stability analysis and further results
Spatiotemporal Tubes for Probabilistic Temporal Reach-Avoid-Stay Task in Uncertain Dynamic Environment
Quantum Machine Learning for Power System Stability Assessment
FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Video
UniCode: A Framework for Generating High Quality Competitive Coding Problems
Leveraging Graph Structures to Detect Hallucinations in Large Language Models
Combining Causal Discovery and Machine Learning for Modeling Data Center Operations
Towards Improving Spatiotemporal Action Recognition in Videos
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses
mhGPT: A Lightweight Generative Pre-Trained Transformer for Mental Health Text Analysis
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration
Ranking Scientific Publications Using a Simple Model of Network Traffic
Input-output reduced order modeling for public health intervention evaluation
Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
Enhancing Public Speaking Skills in Engineering Students Through AI
Link equations for discrete-time epidemic processes in complex network
On the computational complexity of blind detection of binary linear codes
PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts
DeepNNK: Explaining deep models and their generalization using polytope interpolation
GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos
A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation
Syfer: Neural Obfuscation for Private Data Release
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
Alignment For Performance Improvement in Conversation Bots
Decentralized Inter-User Interference Suppression in Body Sensor Networks with Non-cooperative Game
Distributed Detection over Blockchain-aided Internet of Things in the Presence of Attacks
DATENeRF: Depth-Aware Text-based Editing of NeRFs
An improved FPT algorithm for Independent Feedback Vertex Set
Financial Fraud Detection with Entropy Computing
PRIVET: Privacy Metric Based on Extreme Value Theory
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
Indirect stabilization of weakly coupled systems with hybrid boundary conditions
Word posets, with applications to Coxeter groups
Optimizing Graph Structure for Targeted Diffusion
Reinforcement Learning Based Power Control for Reliable Wireless Transmission
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
Cross-corpus Readability Compatibility Assessment for English Texts
Geometric Surface-Based Tracking Control of a Quadrotor UAV
pTSE-T: Presentation Target Speaker Extraction using Unaligned Text Cues
Localizing Firearm Carriers by Identifying Human-Object Pairs
Mask Point R-CNN
Towards Efficient Service Delivery: The Role Of Workflow Systems In Public Sector In Kenya
We Care: Multimodal Depression Detection and Knowledge Infused Mental Health Therapeutic Response Generation
LACE: Controlled Image Prompting and Iterative Refinement with GenAI for Professional Visual Art Creators
Neural Network architectures to classify emotions in Indian Classical Music
Approximate Distributed Monitoring under Partial Synchrony: Balancing Speed and Accuracy
Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging Data
Finding Global Minima via Kernel Approximations
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning
Hyperparameter Tuning for Deep Reinforcement Learning Applications
Hypergraph Change Point Detection using Adapted Cardinality-Based Gadgets: Applications in Dynamic Legal Structures
Corridor Generating Algorithm for Multi-Agent Pathfinding
Optimal Uniform Circle Formation by Asynchronous Luminous Robots
Vehicle Collision Detection & Prevention Using VANET Based IoT With V2V
Ultra accurate collaborative information filtering via directed user similarity
A Weibo Dataset for the 2022 Russo-Ukrainian Crisis
IMP: A Message-Passing Algorithmfor Matrix Completion
Capacity Bounds for the DeepONet Method of Solving Differential Equations
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Exploiting Nontrivial Connectivity for Automatic Speech Recognition
Complexity and Second Moment of the Mathematical Theory of Communication
ACTRESS: Active Retraining for Semi-supervised Visual Grounding
Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset
Modeling the Central Supermassive Black Holes Mass of Quasars via LSTM Approach
Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs
Declarative semantics for functional languages: compositional, extensional, and elementary
Secure Memory Management on Modern Hardware
Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud Internet-of-Medical-Things
TAdam: A Robust Stochastic Gradient Optimizer
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
The Complexity of Geodesic Spanners using Steiner Points
Ubenwa: Cry-based Diagnosis of Birth Asphyxia
Large language models surpass domain-specific architectures for antepartum electronic fetal monitoring analysis
Efficient Row-Level Lineage Leveraging Predicate Pushdown
LoRa Digital Receiver Analysis and Implementation
P4Testgen: An Extensible Test Oracle For P4
An Empirical Bayes approach to ARX Estimation
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases
ExGS: Extreme 3D Gaussian Compression with Diffusion Priors
A quantum-classical performance separation in nonconvex optimization
Reliable and interoperable computational molecular engineering: 2. Semantic interoperability based on the European Materials and Modelling Ontology
Unsupervised Learning of Visual Representations using Videos
Circle detection on images using Learning Automata
(A) Data in the Life: Authorship Attribution of Lennon-McCartney Songs
A Hybrid Input based Deep Reinforcement Learning for Lane Change Decision-Making of Autonomous Vehicle
Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations
An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis
The length of a minimal synchronizing word and the Černy conjecture
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos
Algorithmic Temperature Induced by Adopted Regular Universal Turing Machine
Strong data processing constant is achieved by binary inputs
HIP-LLM: A Hierarchical Imprecise Probability Approach to Reliability Assessment of Large Language Models
Learning and Control from Similarity Between Heterogeneous Systems: A Behavioral Approach
Combinatorial Problems on $H$-graphs
An optimized Capsule-LSTM model for facial expression recognition with video sequences
Transactive Framework for Dynamic Energy Storage Allocation for Critical Load Management
Autonomous Multi-Robot Infrastructure for AI-Enabled Healthcare Delivery and Diagnostics
Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization
Predicting Next-Season Designs on High Fashion Runway
Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back
An Improved Residual LSTM Architecture for Acoustic Modeling
Bounds on parameters of minimally non-linear patterns
A Framework for Software-as-a-Service Selection and Provisioning
Characterizing the transition to Kotlin of Android apps: a study on F-Droid, Play Store and GitHub
A Unifying Human-Centered AI Fairness Framework
Zero-Shot EEG-to-Gait Decoding via Phase-Aware Representation Learning
CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection
Big Data and Geospatial Analysis
Post-Training Quantization of OpenPangu Models for Efficient Deployment on Atlas A2
A Dynamic Service Description for Mobile Environments
Semantic Labeling of Human Action For Visually Impaired And Blind People Scene Interaction
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
Neural networks on microcontrollers: saving memory at inference via operator reordering
A Volumetric Transformer for Accurate 3D Tumor Segmentation
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel
Anomaly Sequences Detection from Logs Based on Compression
Spline quadrature and semi-classical orthogonal Jacobi polynomials
Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators
Joint Visible Light and Backscatter Communications for Proximity-Based Indoor Asset Tracking Enabled by Energy-Neutral Devices
Stochastic Control of Computation Offloading to a Helper with a Dynamically Loaded CPU
Do we really have to filter out random noise in pre-training data for language models?
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI
Discovering Faint and High Apparent Motion Rate Near-Earth Asteroids Using A Deep Learning Program
PixelGen: Rethinking Embedded Camera Systems
An Efficient Algorithm for High-Dimensional Log-Concave Maximum Likelihood
A Semi-Analytic Diagonalization FEM for the Spectral Fractional Laplacian
NP-Completeness Proofs of All or Nothing and Water Walk Using the T-Metacell Framework
SituationCO v1.2's Terms, Properties, Relationships and Axioms - A Core Ontology for Particular and Generic Situations
ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation
SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents
Random Forest with Learned Representations for Semantic Segmentation
BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning
MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue
Comparing human and automatic thesaurus mapping approaches in the agricultural domain
The Logic of Approximate Dependence
Analytical Inverse Kinematic Solution for "Moz1" NonSRS 7-DOF Robot arm with novel arm angle
Automated Repair of AI Code with Large Language Models and Formal Verification
Integrating multiple coauthorship in the quantitative evaluation of individual's scientific records
AI Agentic Vulnerability Injection And Transformation with Optimized Reasoning
Deep Probabilistic Video Compression
Discover Life Skills for Planning with Bandits via Observing and Learning How the World Works
Massive Editing for Large Language Models Based on Dynamic Weight Generation
Consensus Community Detection in Multilayer Networks using Parameter-free Graph Pruning
A robust ranking algorithm to spamming
An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
A reinforcement learning strategy for p-adaptation in high order solvers
Give Text A Chance: Advocating for Equal Consideration for Language and Visualization
EMV-LIO: An Efficient Multiple Vision aided LiDAR-Inertial Odometry
Multi-Teacher Knowledge Distillation For Text Image Machine Translation
Keep Your Friends Close, and Your Enemies Closer: Structural Properties of Negative Relationships on Twitter
Tokenization Matters: Improving Zero-Shot NER for Indic Languages
Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing
Truth in the Few: High-Value Data Selection for Efficient Multi-Modal Reasoning
Enhancing Fractional Gradient Descent with Learned Optimizers
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data
Multimodal Gaussian Mixture Model for Realtime Roadside LiDAR Object Detection
Improved Super-Resolution Convolution Neural Network for Large Images
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis
AudioRWKV: Efficient and Stable Bidirectional RWKV for Audio Pattern Recognition
Local Slot Attention for Vision-and-Language Navigation
Collective Creativity: Where we are and where we might go
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation
Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps
Dual-tuned Coaxial-transmission-line RF coils with Independent Tuning Capabilities for X-nuclear Metabolic MRS Imaging at Ultrahigh Magnetic Fields
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers
Free-Grained Hierarchical Recognition
'I am both here and there' Parallel Control of Multiple Robotic Avatars by Disabled Workers in a Café
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
Higher-Order Orthogonal Causal Learning for Treatment Effect
Vision Transformer with Cross-attention by Temporal Shift for Efficient Action Recognition
BEFANA: A Tool for Biodiversity-Ecosystem Functioning Assessment by Network Analysis
It's not Rocket Science : Interpreting Figurative Language in Narratives
Interpretable Machine Learning in Physics: A Review
Traversing automata with current state uncertainty under LTL f constraints
More Capacity from Less Spectrum: Tapping into Optical-layer Intelligence in Optical Computing-Communication Integrated Network
Fast computation of the performance evaluation of biometric systems: application to multibiometric
Noun2Verb: Probabilistic frame semantics for word class conversion