yusuke1997/dblp-id-title huggingface dataset:
Unconditionally Energy Stable Second Order Numerical Scheme for a Microemulsion model
Federated Battery Diagnosis and Prognosis
Face Consistency Benchmark for GenAI Video
Static Output Feedback Control for Nonlinear Systems subject to Parametric and Nonlinear Uncertainties
UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification
IMEX methods for thin-film equations and Cahn-Hilliard equations with variable mobility
Pushing the performances of ASR models on English and Spanish accents
Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
Proactive SRV spectrum handoff protocol based on GCS scheme in cognitive radio adhoc network
Branch-Continuous Tree Algebras
AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression
Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics
Deep Learning as a Method for Inversion of NMR Signals
TOPO-Bench: An Open-Source Topological Mapping Evaluation Framework with Quantifiable Perceptual Aliasing
Integrated real-time supervisory management for off-normal-event handling and feedback control of tokamak plasmas
A Fast Evidential Approach for Stock Forecasting
OUNLP at TSAR 2025 Shared Task: Multi-Round Text Simplifier via Code Generation
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
La Última Frontera de La Filosofía: Hacia una Síntesis de La Ética del Futuro a Largo Plazo, el Riesgo Existencial y la Ontología Posthumana
The IDLAB VoxCeleb Speaker Recognition Challenge 2020 System Description
Active Noise Control Portable Device Design
Numerical Methods for the Computation of the Confluent and Gauss Hypergeometric Functions
An Analogy of Frequency Droop Control for Grid-forming Sources
Connections Between Nuclear Norm and Frobenius Norm Based Representation
Integrating Energy Storage into the Smart Grid: A Prospect Theoretic Approach
Neural Likelihoods for Multi-Output Gaussian Processes
An Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance
Near-Infrared Image Dehazing Via Color Regularization
Lux: Always-on Visualization Recommendations for Exploratory Data Science
Some New Permutation Polynomials over Finite Fields
A notion of equivalence for linear complementarity problems with application to the design of non-smooth bifurcations
Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter
Dropout against Deep Leakage from Gradients
ByteCheckpoint: A Unified Checkpointing System for LLM Development
Towards Mitigating ChatGPT's Negative Impact on Education: Optimizing Question Design through Bloom's Taxonomy
Enhance transferability of adversarial examples with model architecture
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
CWM: An Open-Weights LLM for Research on Code Generation with World Models
Frailty Care Robot for Elderly and Its Application for Physical and Psychological Support
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?
A Framework for Democratizing AI
VNS Tokamak OpenMC-Serpent Validation for Medical Isotope Studies
Abstraction-based Synthesis for Stochastic Systems with Omega-Regular Objectives
Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings
Avoiding matrix exponentials for large transition rate matrices
Moving-Boundary Port-Hamiltonian Systems
A Study of Posterior Stability for Time-Series Latent Diffusion
Beyond Token Pruning: Operation Pruning in Vision-Language Models
Overview of CAIL2018: Legal Judgment Prediction Competition
Condition numbers in multiview geometry, instability in relative pose estimation, and RANSAC
Quality assessment of image matchers for DSM generation - a comparative study based on UAV images
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
Approximate capacity of Fading Gaussian Interference Channels with Point-to-Point codes
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning
Category learning in deep neural networks: Information content and geometry of internal representations
Linear-time computation of generalized minimal absent words for multiple strings
Dara: Automated multiple-hypothesis phase identification and refinement from powder X-ray diffraction
CECT: Computationally Efficient Congestion-avoidance and Traffic Engineering in Software-defined Cloud Data Centers
The termination of Nielsen transformations applied to word equations with length constraints
The Probabilistic Description Logic BALC
Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
Learning not cheating: AI assistance can enhance rather than hinder skill development
Clustering online social network communities using genetic algorithms
LMLCC-Net: A Semi-Supervised Deep Learning Model for Lung Nodule Malignancy Prediction from CT Scans using a Novel Hounsfield Unit-Based Intensity Filtering
Efficient Decoding of Synchronized Colliding LoRa Signals
Approximate Bayesian inference with queueing networks and coupled jump processes
MELEGROS: Monolithic Elephant-inspired Gripper with Optical Sensors
An Improved 3D Skeletons UP-Fall Dataset: Enhancing Data Quality for Efficient Impact Fall Detection
Distributed-HISQ: A Distributed Quantum Control Architecture
Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review
Lightweight security mechanism for PSTN-VoIP cooperation
In Pursuit of Unification of Conceptual Models: Sets as Machines
Learning deep representation from coarse to fine for face alignment
Graph Convolutional Neural Networks for Optimal Power Flow Locational Marginal Price
AraNet: A Deep Learning Toolkit for Arabic Social Media
SecCAN: An Extended CAN Controller with Embedded Intrusion Detection
Uncertainty quantification in medical image segmentation with Normalizing Flows
Compressed Relaying for Two-Way Relay Networks with Correlated Sources
SUD: Supervision by Denoising for Medical Image Segmentation
Mining relevant interval rules
Stability Analysis of Soft Sensor-Based Control Systems-A Luré-Postnikov Approach Using a Novel Gated Recurrent Neural Network
Linear Hybrid System Falsification Through Descent
PyraNet: A Large Scale Hierarchical Verilog Dataset
Immersion Metrics for Virtual Reality
Metacognitive Learning Approach for Online Tool Condition Monitoring
A Framework For Performance Evaluation Of ASIPS In Network-Based IDS
The Helmholtz problem in slowly varying waveguides at locally resonant frequencies
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
DePS: An improved deep learning model for de novo peptide sequencing
A Comparison of Online Automatic Speech Recognition Systems and the Nonverbal Responses to Unintelligible Speech
Some remarks on practical stabilization via CLF-based control under measurement noise
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images
Concurrent Fixed-Size Allocation and Free in Constant Time
Targeted synthetic data generation for tabular data via hardness characterization
Simulating Time With Square-Root Space
ProPLIKS: Probablistic 3D human body pose estimation
UCoDe: Unified Community Detection with Graph Convolutional Networks
The Impact of Distance on Performance and Scalability of Distributed Database Systems in Hybrid Clouds
On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective
Stock Index Prediction using Cointegration test and Quantile Loss
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center
Towards Geometry-Preserving Reductions Between Constraint Satisfaction Problems (and other problems in NP)
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning
Learning What NOT to Count
A Wearable Medical Sensor for Provisional Healthcare
The Sphere Formula
Linguistic Characteristics of AI-Generated Text: A Survey
Ethics2vec: aligning automatic agents and human preferences
Deadline-Aware Scheduling of Distributed Quantum Circuits in Near-Term Quantum Cloud
SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models
Operational Annotations: A new method for sequential program verification
Unsupervised and Non Parametric Iterative Soft Bit Error Rate Estimation for Any Communications System
Solving Simple Stochastic Games with Few Random Vertices
PromptTea: Let Prompts Tell TeaCache the Optimal Threshold
Robust stability and stabilization of uncertain linear positive systems via Integral Linear Constraints: L1- and Linfinity-gains characterization
Multilingual Abusiveness Identification on Code-Mixed Social Media Text
Identification and Correction of False Data Injection Attacks against AC State Estimation using Deep Learning
Narrowband Internet of Things for Non-terrestrial Networks
BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets
On the Security of Some Compact Keys for McEliece Scheme
Manifest V3 Unveiled: Navigating the New Era of Browser Extensions
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
Supervised Phrase-boundary Embeddings
Secure Communication Using Electronic Identity Cards for Voice over IP Communication, Home Energy Management, and eMobility
BrainWavLM: Fine-tuning Speech Representations with Brain Responses to Language
Agent Based Virus Model using NetLogo: Infection Propagation, Precaution, Recovery, Multi-site Mobility and (Un)Lockdown
TPAoI: Ensuring Fresh Service Status at the Network Edge in Compute-First Networking
Enhanced Robust Tracking Control: An Online Learning Approach
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable
Exploring Tracer Study Service in Career Center Web Site of Indonesia Higher Education
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration
Why Can't I See My Clusters? A Precision-Recall Approach to Dimensionality Reduction Validation
Generative Location Modeling for Spatially Aware Object Insertion
A Computationally Efficient Approach to Non-cooperative Target Detection and Tracking with Almost No A-priori Information
Modelling Socio-ecological Systems: Implementation of an Advanced Fuzzy Cognitive Map Framework for Policy development for addressing complex real-life challenges
Towards a Psychology of Machines: Large Language Models Predict Human Memory
EyeNeRF: A Hybrid Representation for Photorealistic Synthesis, Animation and Relighting of Human Eyes
Text-Driven 3D Hand Motion Generation from Sign Language Data
Dynamic UAV Swarm Collaboration for Multi-Targets Tracking under Malicious Jamming: Joint Power, Path and Target Association Optimization
MRT: Learning Compact Representations with Mixed RWKV-Transformer for Extreme Image Compression
Magnificent Minified Models
Semi-Supervised Intent Inferral Using Ipsilateral Biosignals on a Hand Orthosis for Stroke Subjects
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation
Complexity of the CNF-satisfiability problem
Data-informed modeling of the formation, persistence, and evolution of social norms and conventions
Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space
Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention
Event-triggered Finite-time Control Using Inverse-optimal Implicit Lyapunov Function
Enabling Semantic Analysis of User Browsing Patterns in the Web of Data
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis
Nouvelle représentation concise exacte des motifs corrélés rares : Application à la détection d'intrusions
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization
CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Counting
A Lightweight Framework for Trigger-Guided LoRA-Based Self-Adaptation in LLMs
California Wildfire Inventory (CAWFI): An Extensive Dataset for Predictive Techniques based on Artificial Intelligence
s-Step Orthomin and GMRES implemented on parallel computers
A Novel Rapid-flooding Approach with Real-time Delay Compensation for Wireless Sensor Network Time Synchronization
Low-Cost Carriers in Aviation: Significance and Developments
Into the LAIONs Den: Investigating Hate in Multimodal Datasets
SAHER: Secure and Efficient Routing in Sensor Networks
1.5 billion words Arabic Corpus
Formation control with pole placement for multi-agent systems
Kernel Recursive Least Squares Dictionary Learning Algorithm
A Multi-Step Reconfiguration Model for Active Distribution Network Restoration Integrating DG Start-Up Sequences
Gradient Descent Converges to Minimizers
Forbidden Induced Subgraph Characterization of Word-Representable Split Graphs
The Joy of Neural Painting
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7
Suction Leap-Hand: Suction Cups on a Multi-fingered Hand Enable Embodied Dexterity and In-Hand Teleoperation
On the Impact of the Cutoff Time on the Performance of Algorithm Configurators
A local geometry of hyperedges in hypergraphs, and its applications to social networks
Stability analyses of divergence and vorticity damping on gnomonic cubed-sphere grids
Q * Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
AgentTypo: Adaptive Typographic Prompt Injection Attacks against Black-box Multimodal Agents
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation
LayerZero: Trustless Omnichain Interoperability Protocol
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Median activation functions for graph neural networks
Feature Reweighting for EEG-based Motor Imagery Classification
Bilateral Grid Learning for Stereo Matching Network
Real-Time Piano Note Frequency Detection Using FPGA and FFT Core
Order parameters and phase transitions of continual learning in deep neural networks
Temporal Order Preserved Optimal Transport-based Cross-modal Knowledge Transfer Learning for ASR
Algorithmic Blockchain Channel Design
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
DRDr: Automatic Masking of Exudates and Microaneurysms Caused By Diabetic Retinopathy Using Mask R-CNN and Transfer Learning
PrismDB: Read-aware Log-structured Merge Trees for Heterogeneous Storage
Application of Physics-Informed Neural Networks for Solving the Inverse Advection-Diffusion Problem to Localize Pollution Sources
From H&M to Gap for Lightweight BWT Merging
Additivity of on-line decision complexity is violated by a linear term in the length of a binary string
Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl
Quasi-Monte Carlo for unbounded integrands with importance sampling
Bisimulation and Hennessy-Milner Logic for Generalized Synchronization Trees
Predictive Performance of Photonic SRAM-based In-Memory Computing for Tensor Decomposition
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network
Taming the Android AppStore: Lightweight Characterization of Android Applications
FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing
The lightning method for the heat equation
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images
Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection
Data-driven Distributed and Localized Model Predictive Control
Modeling nonuniversal citation distributions: the role of scientific journals
Intent Communication between Autonomous Vehicles and Pedestrians
Performance Analysis of Mixed-ADC Massive MIMO Systems over Rician Fading Channels
VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
Central Force Optimization Applied to the PBM Suite of Antenna Benchmarks
Using Large Language Model to Support Flexible and Structural Inductive Qualitative Analysis
Guiding Global Placement With Reinforcement Learning
Compositional diversity in visual concept learning
Quantifying the unextendibility of entanglement
Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
Computing on Functions Using Randomized Vector Representations
A note on the relations between mixture models, maximum-likelihood and entropic optimal transport
Object Specific Deep Learning Feature and Its Application to Face Detection
Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers
Meta-Auxiliary Network for 3D GAN Inversion
Finding Cliques in Geometric Intersection Graphs with Grounded or Stabbed Constraints
Learning to erase quantum states: thermodynamic implications of quantum learning theory
Shared Control for Game Accessibility: Understanding Current Human Cooperation Practices to Inform the Design of Partial Automation Solutions
A Scalable k-Medoids Clustering via Whale Optimization Algorithm
Transforming Question Answering Datasets Into Natural Language Inference Datasets
Personality Profiles of Global Software Developers
Machine Learning Algorithms: Detection Official Hajj and Umrah Travel Agency Based on Text and Metadata Analysis
Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning
Improving the Thresholds of Generalized LDPC Codes with Convolutional Code Constraints
DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models
Hypothesis Testing in Imaging Inverse Problems
Seed1.5-VL Technical Report
Event-driven Real-time Retrieval in Web Search
On a waiting-time result of Kontoyiannis: mixing or decoupling?
Cooperative Cruising: Reinforcement Learning based Time-Headway Control for Increased Traffic Efficiency
Exploiting Unfair Advantages: Investigating Opportunistic Trading in the NFT Market
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison
Design, Construction and Implementation of Stewart Platform with Control of Rolling Ball on Platform through Artificial Vision
Towards a living earth simulator
On Anderson acceleration for partially observable Markov decision processes
A Systematic Review on Crimes facilitated by Consumer Internet of Things Devices
Hyperspectral Image Classification using Spectral-Spatial Mixer Network
Unimodular Lattices for the Gaussian Wiretap Channel
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights
Approximating the Amplitude and Form of Limit Cycles in the Weakly Nonlinear Regime of Lienard Systems
Towards a Public Key Management Framework for Virtual Assets and Virtual Asset Service Providers
Textual semantics and machine learning methods for data product pricing
Toward Greener Background Processes - Measuring Energy Cost of Autosave Feature
Navigating Resource Conflicts: Co-opetition and Fairness
A Fuzzy Logic-Based Quality Model For Identifying Microservices With Low Maintainability
Dense Text Retrieval based on Pretrained Language Models: A Survey
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
On Sound Relative Error Bounds for Floating-Point Arithmetic
Flow Shop Scheduling with Inter-Stage Flexibility and Blocking Constraints
Stochastic Restarting to Overcome Overfitting in Neural Networks with Noisy Labels
CLVR Ordering of Transactions on AMMs
Making Markets for Information Security: The Role of Online Platforms in Bug Bounty Programs
In-n-Out: Calibrating Graph Neural Networks for Link Prediction
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph
Quantum Algorithms for Curve Fitting
Task-Aware Low-Rank Adaptation of Segment Anything Model
Video Models Start to Solve Chess, Maze, Sudoku, Mental Rotation, and Raven' Matrices
Trade-offs in Distributed Interactive Proofs
RECOD Titans at ISIC Challenge 2017
Capturing research literature attitude towards Sustainable Development Goals: an LLM-based topic modeling approach
Mackey-complete spaces and power series - A topological model of Differential Linear Logic
Approximation of the invariant distribution for a class of ergodic SPDEs using an explicit tamed exponential Euler scheme
AlignCheck: a Semantic Open-Domain Metric for Factual Consistency Assessment
Local Bounded Commuting Projection Operators for Discrete Gradgrad Complexes
Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning
Model-Based Sensor Diagnostics for Robotic Manipulators
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
Adaptive Learning for Multi-view Stereo Reconstruction
Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts
An Exact Method for the Daily Package Shipment Problem with Outsourcing
Multiple Light Source Dataset for Colour Research
Accelerating Edge AI with Morpher: An Integrated Design, Compilation and Simulation Framework for CGRAs
Bronchovascular Tree-Guided Weakly Supervised Learning Method for Pulmonary Segment Segmentation
Generative Visual Question Answering
SHREC: a SRE Behaviour Knowledge Graph Model for Shell Command Recommendations
Three-field mixed finite element methods for nonlinear elasticity
Neural Collapse in Test-Time Adaptation
Deep Speaker Vectors for Semi Text-independent Speaker Verification
A Window into the Soul: Biosensing in Public
Libraries, Digital Libraries, and Data: Forty years, Four Challenges
Collision-inclusive Manipulation Planning for Occluded Object Grasping via Compliant Robot Motions
Pruning Large Language Models by Identifying and Preserving Functional Networks
On damping created by heterogeneous yielding in the numerical analysis of nonlinear reinforced concrete frame elements
Signal Preserving Weight Initialization for Odd-Sigmoid Activations
Machine learning for uncertainty estimation in fusing precipitation observations from satellites and ground-based gauges
Designing Hardware/Software Systems for Embedded High-Performance Computing
Rising Novelties on Evolving Networks: Recent Behavior Dominant and Non-Dominant Model
Airfoil's Aerodynamic Coefficients Prediction using Artificial Neural Network