yusuke1997/dblp-id-title huggingface dataset:
Advanced Layout Analysis Models for Docling
Random Text, Zipf's Law, Critical Length,and Implications for Large Language Models
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them
Populations can be essential in tracking dynamic optima
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators
On Nonrigid Shape Similarity and Correspondence
Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework
SeeDNorm: Self-Rescaled Dynamic Normalization
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI
Procrustean Bed for AI-Driven Retrosynthesis: A Unified Framework for Reproducible Evaluation
Cultural Value Alignment in Large Language Models: A Prompt-based Analysis of Schwartz Values in Gemini, ChatGPT, and DeepSeek
A Course chapter on Quantum Computing for Master Students in Engineering
Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
ScrambleSuit: A Polymorph Network Protocol to Circumvent Censorship
Continuous-Time Best-Response and Related Dynamics in Tullock Contests with Convex Costs
Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration
The Berlekamp-Massey Algorithm and the Euclidean Algorithm: a Closer Link
EXPRESSNET: An Explainable Residual Slim Network for Fingerprint Presentation Attack Detection
No Love Among Haters: Negative Interactions Reduce Hate Community Engagement
Robust Vision-Language Models via Tensor Decomposition: A Defense Against Adversarial Attacks
Statistical Model Checking for Stochastic Hybrid Systems
Widget2Code: From Visual Widgets to UI Code via Multimodal LLMs
Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems
Training-free Detection of AI-generated images via Cropping Robustness
Creativity in dynamic networks: How divergent thinking is impacted by one's choice of peers
Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm
The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations
Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval
ADQUEX: Adaptive Processing of Federated Queries over Linked Data based on Tuple Routing
Positive definite functions on a regular domain
AdaS&S: a One-Shot Supernet Approach for Automatic Embedding Size Search in Deep Recommender System
How SVC enables Distributed Caching in MEC?
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense
Evaluation of NO x emissions and ozone production due to vehicular traffic via second-order models
Smart textiles that teach: Fabric-based haptic device improves the rate of motor learning
LatinX: Aligning a Multilingual TTS Model with Direct Preference Optimization
FOXANN: A Method for Boosting Neural Network Performance
Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data
Robust Object Tracking with a Hierarchical Ensemble Framework
SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks
Explainable Knowledge Distillation for Efficient Medical Image Classification
Test-Time Training for Depression Detection
Bias Reduction in Social Networks through Agent-Based Simulations
Mapping the individual, social, and biospheric impacts of Foundation Models
Cybersickness Detection through Head Movement Patterns: A Promising Approach
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
Autonomous Legged Mobile Manipulation for Lunar Surface Operations via Constrained Reinforcement Learning
Fast Evaluation of Low-Thrust Transfers via Deep Neural Networks
Proactive Defense: Compound AI for Detecting Persuasion Attacks and Measuring Inoculation Effectiveness
Write on Paper, Wrong in Practice: Why LLMs Still Struggle with Writing Clinical Notes
Learning 3D Scene Analogies with Neural Contextual Scene Maps
Generating natural images with direct Patch Distributions Matching
A Comparison of Logic Programming Approaches for Representation and Solving of Constraint Satisfaction Problems
An Extension of the Dirichlet Density for Sets of Gaussian Integers
Design optimization of stochastic complex systems via iterative density estimation
MVG-Splatting: Multi-View Guided Gaussian Splatting with Adaptive Quantile-Based Geometric Consistency Densification
Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics
Depth from a polarisation + RGB stereo pair
Unit Perturbations in Budgeted Spanning Tree Problems
Square root meadows
Data coverage, richness, and quality of OpenStreetMap for special interest tags: wayside crosses - a case study
Improved Battery Models of an Aggregation of Thermostatically Controlled Loads for Frequency Regulation
Lagrangian Modelling and Motion Stability of Synchronous Generator Power Systems
D2M2N: Decentralized Differentiable Memory-Enabled Mapping and Navigation for Multiple Robots
The "psychological map of the brain", as a personal information card (file), - a project for the student of the 21st century
How to forecast power generation in wind farms? Insights from leveraging hierarchical structure
Large width penalization for neural network-based prediction interval estimation
Machine Learning Advances for Time Series Forecasting
Reinshard: An optimally sharded dual-blockchain for concurrency resolution
Efficient Distributed Locality Sensitive Hashing
High-order joint embedding for multi-level link prediction
Checking Computations of Formal Method Tools - A Secondary Toolchain for ProB
Testing the Robustness of a BiLSTM-based Structural Story Classifier
Load on the Typical Poisson Voronoi Cell with Clustered User Distribution
Distributed Power Allocation with SINR Constraints Using Trial and Error Learning
Stalnaker's Epistemic Logic in Isabelle/HOL
5G Integrated Communications, Navigation, and Surveillance: A Vision and Future Research Perspectives
A Method of Generating Measurable Panoramic Image for Indoor Mobile Measurement System
A Universal Vehicle-Trailer Navigation System with Neural Kinematics and Online Residual Learning
L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization
Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
Finding the KT partition of a weighted graph in near-linear time
Topology, Analysis, and Modulation Strategy of a Fully Controlled Modular Battery Pack with Interconnected Output Ports
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
Self-adaptive Architectures in IoT Systems: A Systematic Literature Review
Grandes modelos de lenguaje: de la predicción de palabras a la comprensión?
Arity hierarchies for quantifiers closed under partial polymorphisms
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy
rWiFiSLAM: Effective WiFi Ranging based SLAM System in Ambient Environments
Architecture of a Conference Management System Providing Advanced Paper Assignment Features
S3C2 Summit 2023-06: Government Secure Supply Chain Summit
Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions
Deep Active Learning via Open Set Recognition
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Effective Rank and the Staircase Phenomenon: New Insights into Neural Network Training Dynamics
LF-PGVIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras using Points and Geodesic Segments
FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets
Position-Based Quantum Cryptography and the Garden-Hose Game
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
Diffusion Boosted Trees
Brightness-Restricted Adversarial Attack Patch
Embracing Data Science
Gravity aided navigation using Viterbi map matching algorithm
Training Self-Supervised Depth Completion Using Sparse Measurements and a Single Image
Training Larger Networks for Deep Reinforcement Learning
Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching
The Quantum Version of Prediction for Binary Classification Problem by Ensemble Methods
CMOS-compatible Ising and Potts Annealing Using Single Photon Avalanche Diodes
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation
Facility Location Problem under Local Differential Privacy without Super-set Assumption
Generative Design of Hardware-aware DNNs
An effective physics-informed neural operator framework for predicting wavefields
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks
CONQURE: A Co-Execution Environment for Quantum and Classical Resources
Small error algorithms for tropical group testing
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning
Design and Implementation of Fair Congestion Control for Data Centers Networks
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances
Artificial Buildings: Safety, Complexity and a Quantifiable Measure of Beauty
The mysteries of the best approximation and Chebyshev expansion for the function with logarithmic regularities
Object-QA: Towards High Reliable Object Quality Assessment
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
Deep Learning for Real Time Satellite Pose Estimation on Low Power Edge TPU
ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research
WEIZZ: Automatic Grey-box Fuzzing for Structured Binary Formats
Approximation Algorithms for Orienteering with Time Windows
PartHOI: Part-based Hand-Object Interaction Transfer via Generalized Cylinders
MADD: Multi-Agent Drug Discovery Orchestra
Preliminary Design of the Dragonfly Navigation Filter
Neural Network Approximation
Towards Trustworthy Refactoring in Erlang
Following Length Constraints in Instructions
Automated Inference of Graph Transformation Rules
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
Decision support for the Technician Routing and Scheduling Problem
SecureIT using Firebase, Google map and Node.Js
SOSTOOLS Version 3.00 Sum of Squares Optimization Toolbox for MATLAB
Computational Hardness of Enumerating Satisfying Spin-Assignments in Triangulations
Symbolic Stochastic Chase Decoding of Reed-Solomon and BCH Codes
Tit-for-Tat Dynamics and Market Volatility
Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks
3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement
Fractal dimensions of complex networks: advocating for a topological approach
Unsupervised clustering of coral reef bioacoustics
Stability and Performance Analysis for SISO Incremental Flight Control
Machine Learning Based Early Fire Detection System using a Low-Cost Drone
Web-STAR: A Visual Web-Based IDE for a Story Comprehension System
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data
Dependence Control at Large
Stability Analysis of Linear Uncertain Systems via Checking Positivity of Forms on Simplices
Case Study: Testing Model Capabilities in Some Reasoning Tasks
BPA Bisimilarity is EXPTIME-hard
Deep learning with t-exponential Bayesian kitchen sinks
Accelerating Sparse Deep Neural Networks
Inducing Structure in Reward Learning by Learning Features
ASBART: Accelerated Soft Bayes Additive Regression Trees
Scale-aware Automatic Augmentation for Object Detection
CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback
Applying Machine Learning Analysis for Software Quality Test
Sensing the Breath: A Multimodal Singing Tutoring Interface with Breath Guidance
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models
Efficient assembly of bolted joints using numerical FEM
Resolution with Symmetry Rule applied to Linear Equations
Graph-Structured Topic Modeling for Documents with Spatial or Covariate Dependencies
Fuzzy color model and clustering algorithm for color clustering problem
Fatigue performance of prosthetic screws used in dental implant restorations: Rolled versus cut threads
Analysing Statistical methods for Automatic Detection of Image Forgery
Conservative Surrogate Models for Optimization with the Active Subspace Method
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method
Scalable Block-Wise Product BCH Codes
Exploring the Role of Artificial Intelligence and Machine Learning in Process Optimization for Chemical Industry
SAFE: A Declarative Trust Management System with Linked Credentials
Fast method to simulate dynamics of two-phase medium with intense interaction between phases by smoothed particle hydrodynamics: gas-dust mixture with polydisperse particles, linear drag, one-dimensional tests
R2GenGPT: Radiology Report Generation with Frozen LLMs
Traceable Signatures from Lattices
Faster Training of Very Deep Networks Via p-Norm Gates
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification
CoSSegGaussians: Compact and Swift Scene Segmenting 3D Gaussians with Dual Feature Fusion
A General Framework for Constraint-based Causal Learning
Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved?
Visualization techniques for data mining of Latur district satellite imagery
Algorithmic support of a personal virtual assistant for automating the processing of client requests
Temporal Object Captioning for Street Scene Videos from LiDAR Tracks
AMD MI300X GPU Performance Analysis
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning
Incremental Fourier Neural Operator
Using the Context of User Feedback in Recommender Systems
Bridging Design and Development with Automated Declarative UI Code Generation
Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK)
A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools
CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults
Liberalisation of the International Gateway and Internet Development in Zambia: The Genesis, Opportunities, Challenges, and Future Directions
Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations
Semantic Supervision: Enabling Generalization over Output Spaces
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification
Communication-Efficient ADMM-based Federated Learning
Finding shorter paths for robot arms using their redundancy
TauFlow: Dynamic Causal Constraint for Complexity-Adaptive Lightweight Segmentation
Towards a universal neural network encoder for time series
SINGER: Vivid Audio-driven Singing Video Generation with Multi-scale Spectral Diffusion Model
Some things never change: how far generative AI can really change software engineering practice
Finer characterization of bounded languages described by GF(2)-grammars
Natural Language QA Approaches using Reasoning with External Knowledge
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes
GRAMA: Adaptive Graph Autoregressive Moving Average Models
We Don't Need No Adam, All We Need Is EVE: On The Variance of Dual Learning Rate And Beyond
Change Blindness in 3D Virtual Reality
General Theory of Image Normalization
Ethical Artificial Intelligence - An Open Question
Vision Function Layer in Multimodal LLMs
A Generalized Representer Theorem for Hilbert Space - Valued Functions
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report
A Signal Temporal Logic Approach for Task-Based Coordination of Multi-Aerial Systems: a Wind Turbine Inspection Case Study
Extensions for Shared Resource Orchestration in Kubernetes to Support RT-Cloud Containers
Optimal Candidate Positioning in Multi-Issue Elections
Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes
Low-Power Impact Detection and Localization on Forklifts Using Wireless IMU Sensors
Expanding boundaries of Gap Safe screening
Investigating the Effect of Technostress on the Perceived Organizational Commitment by Mediating Role of Individual Innovation
The Identity Crisis. Security, Privacy and Usability Issues in Identity Management
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Detecting Spurious Counterexamples Efficiently in Abstract Model Checking
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
Statistical Complexity in Traveling Densities
On the Sample Complexity of Super-Resolution Radar
Edit3r: Instant 3D Scene Editing from Sparse Unposed Images
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation
CrossRT: A cross platform programming technology for hardware-accelerated ray tracing in CG and CV applications
Explainable Artificial Intelligence: a Systematic Review
Frequency-aware Feature Fusion for Dense Image Prediction
Semi-Supervised Verified Feedback Generation
Power Allocation in Two-Hop Amplify-and-Forward MIMO Relay Systems with QoS requirements
AMO-HEAD: Adaptive MARG-Only Heading Estimation for UAVs under Magnetic Disturbances
Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings
Rust Distilled: An Expressive Tower of Languages
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?
Improving the Diversity of Top-N Recommendation via Determinantal Point Process
RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors
One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks
Integrated Communication and Remote Sensing in LEO Satellite Systems: Protocol, Architecture and Prototype
Collaborative decoding of critical tokens for boosting factuality of large language models
Autonomous Six-Degree-of-Freedom Spacecraft Docking Maneuvers via Reinforcement Learning
AgriGPT: a Large Language Model Ecosystem for Agriculture
CSHNet: A Novel Information Asymmetric Image Translation Method
Plan Verification for LLM-Based Embodied Task Completion Agents
Coverage Testing of Deep Learning Models using Dataset Characterization
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines
Deep Multiway Canonical Correlation Analysis for Multi-Subject EEG Normalization
The Spectre of Surveillance and Censorship in Future Internet Architectures
Applying Social Network Analysis to Analyze a Web-Based Community
Attention-based Transducer for Online Speech Recognition
Advancing rail safety: An onboard measurement system of rolling stock wheel flange wear based on dynamic machine learning algorithms
Breaking the bonds of generative artificial intelligence by minimizing the maximum entropy
Lightweight User-Space Record And Replay
Predicting Anti-microbial Resistance using Large Language Models
In-situ adaptive reduction of nonlinear multiscale structural dynamics models
A Graph-Augmented knowledge Distillation based Dual-Stream Vision Transformer with Region-Aware Attention for Gastrointestinal Disease Classification with Explainable AI
Performance Analysis of Dual-Hop THz Transmission Systems over $α$-$μ$ Fading Channels with Pointing Errors
Deterministic Selection of Phase Sequences in Low Complexity SLM Scheme
Magnetically Actuated Millimeter-Scale Biped
Appliance Level Short-term Load Forecasting via Recurrent Neural Network
Vector Quantized Feature Fields for Fast 3D Semantic Lifting
Private Information Retrieval over Networks
Maximal Domain Independent Representations Improve Transfer Learning
Greedy-Knapsack Algorithm for Optimal Downlink Resource Allocation in LTE Networks
A Portable Solution for Simultaneous Human Movement and Mobile EEG Acquisition: Readiness Potentials for Basketball Free-throw Shooting
Bandit Inspired Beam Searching Scheme for mmWave High-Speed Train Communications
Corrosion of metal reinforcements within concrete and localisation of supporting reactions under natural conditions
Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images
Quantifying Uncertainty in Aggregate Queries over Integrated Datasets
Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence
Non-Deterministic Approximation Fixpoint Theory and Its Application in Disjunctive Logic Programming
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study
Modeling and Simulation of Practical Quantum Secure Communication Network
Universality of Confluent, Self-Loop Deterministic Partially Ordered NFAs is Hard
Multilevel Global-Local techniques for adaptive ductile phase-field fracture
Cellular Automaton Based Simulation of Large Pedestrian Facilities - A Case Study on the Staten Island Ferry Terminals
A Randomized Parallel Algorithm with Run Time O(n 2 ) for Solving an n × n System of Linear Equations
Opportunistic Cooperation Strategies for Multiple Access Relay Channels with Compute-and-Forward
Initialization Process of a Power System Transient Simulation Scheme for Stability Studies
Resilience of Energy Infrastructure and Services: Modeling, Data Analytics and Metrics
A Revisit to Ordered Statistic Decoding: Distance Distribution and Decoding Rules
A computationally and cognitively plausible model of supervised and unsupervised learning
Extending Pretrained Segmentation Networks with Additional Anatomical Structures
A Fast Convergence Algorithm for Iterative Adaptation of Feedforward Controller Parameters
Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime
Curriculum Learning for Relative Overgeneralization
Commodity-specific triads in the Dutch inter-industry production network
Covariance-based smoothed particle hydrodynamics. A machine-learning application to simulating disc fragmentation
Equivalence of the Random Oracle Model and the Ideal Cipher Model, Revisited
Cooperative Embeddings for Instance, Attribute and Category Retrieval
Parallel SGD: When does averaging help?
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
LLM-SEM: A Sentiment-Based Student Engagement Metric Using LLMS for E-Learning Platforms
Personalized Review Ranking for Improving Shopper's Decision Making: A Term Frequency based Approach
On Trapping Sets and Guaranteed Error Correction Capability of LDPC Codes and GLDPC Codes
Deciding Equivalence of Separated Non-Nested Attribute Systems in Polynomial Time
Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces
Towards a Deep Learning Framework for Unconstrained Face Detection
Functional Categories of Support to Operations in Military Information Systems
Type Theories with Universe Level Judgements
Satisfiability of Almost Disjoint CNF Formulas