yusuke1997/dblp-id-title huggingface dataset:
Blockchain in the management of science: conceptual models, promises and challenges
Ultrasound-based detection and malignancy prediction of breast lesions eligible for biopsy: A multi-center clinical-scenario study using nomograms, large language models, and radiologist evaluation
Can Few Lines of Code Change Society ? Beyond fack-checking and moderation : how recommender systems toxifies social networking sites
A flexible solution to embrace Ranking and Skyline queries approaches
Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
End-to-end neural relation extraction using deep biaffine attention
Error Rates Analysis of MIMO Space-Time Block Codes in Generalized Shadowed Fading Channels
Network Lens: Node Classification in Topologically Heterogeneous Networks
Collective Cognitive Authority: Expertise Location via Social Labeling
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model
Linear Dynamic Network Reconstruction from Heterogeneous Datasets
Multi-gated perimeter flow control for monocentric cities: Efficiency and equity
Atrial Fibrillation Detection Using RR-Intervals for Application in Photoplethysmographs
NoLACE: Improving Low-Complexity Speech Codec Enhancement Through Adaptive Temporal Shaping
Sky Is Not the Limit: Tighter Rank Bounds for Elevator Automata in Büchi Automata Complementation (Technical Report)
A Goal-Driven Survey on Root Cause Analysis
R3R: Decentralized Multi-Agent Collision Avoidance with Infinite-Horizon Safety
Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action Tasks
Towards a Universal Gating Network for Mixtures of Experts
Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping
The NUbots Team Description Paper 2014
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Contribution to the Formal Specification and Verification of a Multi-Agent Robotic System
Wave simulation in non-smooth media by PINN with quadratic neural network and PML condition
On O(n) Algorithms for Projection onto the Top-k-sum Constraint
Sparsity averaging for radio-interferometric imaging
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
Stability and Frequency Regulation of Inverters with Capacitive Inertia
Computational Language Assessment: Open Brain AI
Linear Separation via Optimism
Asynchronous Distributed Bayesian Optimization at HPC Scale
ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks
Learning Object-Centric Representations in SAR Images with Multi-Level Feature Fusion
Sound Localization by Self-Supervised Time Delay Estimation
Past, Present and Future of Hadoop: A Survey
Acoustic anomaly detection via latent regularized gaussian mixture generative adversarial networks
Inference skipping for more efficient real-time speech enhancement with parallel RNNs
Internet Scale Research Studies using SDL-RX
G3Splat: Geometrically Consistent Generalizable Gaussian Splatting
Sampling properties of directed networks
Manifold Diagrams for Higher Categories
VoiceRestore: Flow-Matching Transformers for Speech Recording Quality Restoration
On Universal Prediction and Bayesian Confirmation
Parametric Modelling Within Immersive Environments: Building a Bridge Between Existing Tools and Virtual Reality Headsets
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation
The Lifecycle and Cascade of Social Messaging Groups
Simulation of Underwater RF Wireless Sensor Networks using Castalia
Streaming Sliced Optimal Transport
SPoT: Subpixel Placement of Tokens in Vision Transformers
Unsupervised feature learning with discriminative encoder
A systematic dataset generation technique applied to data-driven automotive aerodynamics
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters
Arena: a toolkit for Multi-Agent Reinforcement Learning
Coloring triangle-free L-graphs with O(log log n) colors
Directives for Function Offloading in 5G Networks Based on a Performance Characteristics Analysis
A Dual-Prompting for Interpretable Mental Health Language Models
MDS Symbol-Pair Codes from Repeated-Root Cyclic Codes
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
Adversarial Perturbations of Physical Signals
Combination of multiple neural networks using transfer learning and extensive geometric data augmentation for assessing cellularity scores in histopathology images
Joint Optimization for Security and Reliability in Round-Trip Transmissions for URLLC services
Outbound SPIT Filter with Optimal Performance Guarantees
FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games - Part I: Equilibria
SelfKin: Self Adjusted Deep Model For Kinship Verification
A Aelf-supervised Tibetan-chinese Vocabulary Alignment Method Based On Adversarial Learning
COVID-19 Tweets Analysis through Transformer Language Models
Stochastic flexibility needs assessment: learnings from H2020 EUniversal's German demonstration
AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization
MobileCodec: Neural Inter-frame Video Compression on Mobile Devices
Transformers from Compressed Representations
A novel method in solving seepage problems implementation in Abaqus based on the polygonal scaled boundary finite element method
Construction of Diffeomorphisms with Prescribed Jacobian Determinant and Curl
Interference Reduction in Music Recordings Combining Kernel Additive Modelling and Non-Negative Matrix Factorization
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
Inferring Coordination Strategies from Time Series of Movement Data
Assessing AI Adoption and Digitalization in SMEs: A Framework for Implementation
On the smoothed analysis of the smallest singular value with discrete noise
Modeling of crisis periods in stock markets
MeGARA: Menu-based Game Abstraction and Abstraction Refinement of Markov Automata
Quantifying Data Contamination in Psychometric Evaluations of LLMs
Singing voice synthesis based on convolutional neural networks
A Methodology for Creating AI FactSheets
Beyond Surface Similarity: Evaluating LLM-Based Test Refactorings with Structural and Semantic Awareness
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering
Comparing Motion Distortion Between Vehicle Field Deployments
Model Evolution Framework with Genetic Algorithm for Multi-Task Reinforcement Learning
Optimal DLT-based Solutions for the Perspective-n-Point
Adiabatic training for Variational Quantum Algorithms
The Impact of Language Mixing on Bilingual LLM Reasoning
On the Computational Properties of Obviously Strategy-Proof Mechanisms
Fault Localisation in Infinite-Dimensional Linear Electrical Networks
Why teach an introductory course in Mathematical Logic in the Philosophy curriculum?
Differentiable Fine-grained Quantization for Deep Neural Network Compression
Physical and Mechatronic Security, Technologies and Future Trends for Vehicular Environment
A Note on the Complexity of Graph Recoloring
Vision-Braille: An End-to-End Tool for Chinese Braille Image-to-Text Translation
Dimensions of Commonsense Knowledge
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
How Persuasive Could LLMs Be? A First Study Combining Linguistic-Rhetorical Analysis and User Experiments
Breakable Machine: A K-12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models
Joint Space Neural Probabilistic Language Model for Statistical Machine Translation
Political Advertising on Facebook During the 2022 Australian Federal Election: A Social Identity Perspective
CTR is not Enough: a Novel Reinforcement Learning based Ranking Approach for Optimizing Session Clicks
Investigation on the use of Hidden-Markov Models in automatic transcription of music
Traffic Flow Data Completion and Anomaly Diagnosis via Sparse and Low-Rank Tensor Optimization
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning
Optimally tackling covariate shift in RKHS-based nonparametric regression
Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study
Fractal multi-level organisation of human groups in a virtual world
A block tangential Lanczos method for model reduction of large-scale first and second order dynamical systems
An efficient strategy for path planning with a tethered marsupial robotics system
Incentivizing Time-Aware Fairness in Data Sharing
Resource-bounded Dimension in Computational Learning Theory
On convexity and solution concepts in cooperative interval games
$2^3$ Quantified Boolean Formula Games and Their Complexities
Wisdom of the Crowds in Forecasting: Forecast Summarization for Supporting Future Event Prediction
Lossless Source Codes for a Class Described by Variational Distance and Optimal Merging Algorithm
Cell planning for mobility management in heterogeneous cellular networks
Urban Fire Station Location Planning: A Systematic Approach using Predicted Demand and Service Quality Index
Secrecy and Robustness for Active Attack in Secure Network Coding
Group Testing using left-and-right-regular sparse-graph codes
Mesh Augmentation of LoRaWAN-based IoT Networks
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning
The influence of motion features in temporal perception
Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP
TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks
Correction of BDFk for fractional Feynman-Kac equation with Lévy flight
Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN
counterfactuals: An R Package for Counterfactual Explanation Methods
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
Clustering Graphs of Bounded Treewidth to Minimize the Sum of Radius-Dependent Costs
On an eigenvalue property of Summation-By-Parts operators
VLM-Eval: A General Evaluation on Video Large Language Models
SimpleBERT: A Pre-trained Model That Learns to Generate Simple Words
LLM4XCE: Large Language Models for Extremely Large-Scale Massive MIMO Channel Estimation
OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning
Skew Cyclic Codes Over A Finite Ring : A Note on a result of Mohammadi et al
Accelerated Gradient Algorithms with Adaptive Subspace Search for Instance-Faster Optimization
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal
Local Time-Stepping for the Shallow Water Equations using CFL Optimized Forward-Backward Runge-Kutta Schemes
Multi-Scale Probabilistic Generation Theory: A Hierarchical Framework for Interpreting Large Language Models
Automatic mobility analysis of parallel mechanisms: an algorithm approach based on position and orientation characteristic equations
MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores
Towards Pre-trained Graph Condensation via Optimal Transport
Computing efficiently a parity-check matrix for Zps-additive codes
A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline
Applications of Post-quantum Cryptography
SimpleTensor - a user-friendly Mathematica package for elementary tensor and differential-geometric calculations
Skating System Unveiled: Exploring Preference Aggregation in Ballroom Tournaments
Multi-User Millimeter Wave MIMO with Full-Dimensional Lens Antenna Array
Differential Shape Optimization with Image Representation for Photonic Design
Paddy Leaf diseases identification on Infrared Images based on Convolutional Neural Networks
Random Walks on Directed Networks: Inference and Respondent-driven Sampling
A perspective on the use of health digital twins in computational pathology
optHIM: Hybrid Iterative Methods for Continuous Optimization in PyTorch
2nd Place Solution to Google Landmark Retrieval 2021
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
MLLMRec: Exploring the Potential of Multimodal Large Language Models in Recommender Systems
Superposition principle in linear networks with controlled sources
Enhancing Reliability in LLM-Integrated Robotic Systems: A Unified Approach to Security and Safety
Ensembles of feedforward-designed convolutional neural networks
Partially-blind Estimation of Reciprocal Channels for AF Two-Way Relay Networks Employing M-PSK Modulation
Inferring Conceptual Relationships When Ranking Patients
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
F, B, Alpha Matting
Proceedings Sixth Workshop on Proof eXchange for Theorem Proving, PxTP 2019, Natal, Brazil, August 26, 2019
Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG
Zero-Inflated Tweedie Boosted Trees with CatBoost for Insurance Loss Analytics
Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions
Visual Representations inside the Language Model
FractalBench: Diagnosing Visual-Mathematical Reasoning Through Recursive Program Synthesis
IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
A Relation between the Protocol Partition Number and the Quasi-Additive Bound
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
X-Capture: An Open-Source Portable Device for Multi-Sensory Learning
Probabilistic approach to limited-data computed tomography reconstruction
Control Synthesis of Cyber-Physical Systems for Real-Time Specifications through Causation-Guided Reinforcement Learning
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Neural CDEs for Long Time Series via the Log-ODE Method
Combining Shamir & Additive Secret Sharing to Improve Efficiency of SMC Primitives Against Malicious Adversaries
Intrinsic Dimensionality
Ensemble based discriminative models for Visual Dialog Challenge 2018
Stamp-it: A more Thread-efficient, Concurrent Memory Reclamation Scheme in the C++ Memory Model
Optimal Choice of Threshold in Two Level Processor Sharing
Numerical evidence against advantage with quantum fidelity kernels on classical data
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
A highly scalable repository of waveform and vital signs data from bedside monitoring devices
Residual-Guided Non-Intrusive Speech Quality Assessment
Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space Model
Secure FSM- based arithmetic codes
Deployment of 5G Networking Infrastructure with Machine Type Communication Considerations
Beyond BEV: Optimizing Point-Level Tokens for Collaborative Perception
Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services
F-ANcGAN: An Attention-Enhanced Cycle Consistent Generative Adversarial Architecture for Synthetic Image Generation of Nanoparticles
JavaSith: A Client-Side Framework for Analyzing Potentially Malicious Extensions in Browsers, VS Code, and NPM Packages
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction
Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method
The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models
A Novel Hybrid Approach for Tornado Prediction in the United States: Kalman-Convolutional BiLSTM with Multi-Head Attention
A study on more realistic room simulation for far-field keyword spotting
HMR3D: Hierarchical Multimodal Representation for 3D Scene Understanding with Large Vision-Language Model
Colour-Specific Microfluidic Droplet Detection for Molecular Communication
On the genericity of Whitehead minimality
Beating 1-1/e for Ordered Prophets
Nested Hoare Triples and Frame Rules for Higher-order Store
OrthoReg: Robust Network Pruning Using Orthonormality Regularization
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms
Rapidly Adapting Moment Estimation
Fast Approximate Counting and Leader Election in Populations
MSED: a multi-modal sleep event detection model for clinical sleep analysis
A User-Study Protocol for Evaluation of Formal Verification Results and their Explanation
Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature
Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design
Voltage Control of the Boost Converter: PI vs. Nonlinear Passivity-based Control
HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules
Solving the capacitated vehicle routing problem with timing windows using rollouts and MAX-SAT
Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition
Identifying Aggregation Artery Architecture of constrained Origin-Destination flows using Manhattan L-function
EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO
Rethinking LSM-tree based Key-Value Stores: A Survey
Deep Learning for Person Re-identification: A Survey and Outlook
Predicting the Performance of Multilingual NLP Models
Local cubic spline interpolation for Vlasov-type equations on a multi-patch geometry
Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference
Dynamic Sparse Attention on Mobile SoCs
Merge on workspaces as Hopf algebra Markov chain
Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)
An LLM Agent for Functional Bug Detection in Network Protocols
LLMs are Frequency Pattern Learners in Natural Language Inference
CAHS-Attack: CLIP-Aware Heuristic Search Attack Method for Stable Diffusion
Training with Pseudo-Code for Instruction Following
On enery-efficient time synchronization based on source clock frequency recovery in wireless sensor networks
Reconstruction Task Finds Universal Winning Tickets
Can Foundation Models Reliably Identify Spatial Hazards? A Case Study on Curb Segmentation
Effects of Low Pressure Condition on Partial Discharges in WBG Power Electronics Modules
Numerical solution of the general high-dimensional multi-term time-space-fractional diffusion equations
Attacks and Countermeasures in Fingerprint Based Biometric Cryptosystems
Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning
Developing and Testing the Automated Post-Event Earthquake Loss Estimation and Visualisation (APE-ELEV) Technique
Support Vector Machine for Determining Euler Angles in an Inertial Navigation System
Session Context Embedding for Intent Understanding in Product Search
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning
Provable Tensor Completion with Graph Information
Perspectives on Incorporating Expert Feedback into Model Updates
Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs
Wrangling Entropy: Next-Generation Multi-Factor Key Derivation, Credential Hashing, and Credential Generation Functions
Big Learning: A Universal Machine Learning Paradigm?
Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics
A simplified primal-dual weak Galerkin finite element method for Fokker-Planck type equations
Mode Recognition by Shape Morphing for Maxwell's Eigenvalue Problem
Low-Rank Principal Eigenmatrix Analysis
Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification
Union-set Multi-source Model Adaptation for Semantic Segmentation
Cyber Security issues and Blockchain-Deep Learning based solutions for UAV and Internet of Drones (FANETs)
Topic Based Sentiment Analysis Using Deep Learning
Data retrieval time for energy harvesting wireless sensor networks
Where to Explore: A Reach and Cost-Aware Approach for Unbiased Data Collection in Recommender Systems
Numerical approximation of the stochastic Cahn-Hilliard equation with space-time white noise near the sharp interface limit
Show-o2: Improved Native Unified Multimodal Models
Automated Test Oracles for Flaky Cyber-Physical System Simulators: Approach and Evaluation
Learning Rigidity-based Flocking Control with Gaussian Processes
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
Codes Correcting Two Bursts of Exactly b Deletions
SubCMap: Subject and Condition Specific Effect Maps
Algebraic pattern matching in join calculus
Multimodal Face Synthesis from Visual Attributes
Modified FOX Optimizer for Solving optimization problems
Applying Gene Expression Programming for Solving One-Dimensional Bin-Packing Problems
Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds
Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
Concurrent Size
A comparative study of emotion recognition methods using facial expressions
Training Deep Face Recognition Systems with Synthetic Data
Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow
A Call for New Recipes to Enhance Spatial Reasoning in MLLMs
Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features
Attribution-Guided Distillation of Matryoshka Sparse Autoencoders
Fault Estimation Filter Design with Guaranteed Stability Using Markov Parameters
Embedded SML using the MLton compiler
Improved bounds on the interactive capacity via error pattern analysis
Step Out and Seek Around: On Warm-Start Training with Incremental Data
Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors
Several new domain-type and boundary-type numerical discretization schemes with radial basis function
High dynamic range image forensics using cnn
Distances between probability distributions of different dimensions
Numerical Analysis of Gate Conflict Duration and Passenger Transit Time in Airport
Asymmetry in Spectral Graph Theory: Harmonic Analysis on Directed Networks via Biorthogonal Bases (Adjacency-Operator Formulation)
FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation
β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Influences Combination of Multi-Sensor Images on Classification Accuracy
Rational sets in virtually abelian groups: languages and growth
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
An Evaluation of novel method of Ill-Posed Problem for the Black-Scholes Equation solution
Adaptive Soft Error Protection for Deep Learning
Deployment of Objects with a Soft Everting Robot
Stokes problem with slip boundary conditions using stabilized finite elements combined with Nitsche
Designing Ad Auctions with Private Constraints for Automated Bidding
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
Random ReLU Features: Universality, Approximation, and Composition
From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining