yusuke1997/dblp-id-title huggingface dataset:
From #Dr00gtiktok to #harmreduction: Exploring Substance Use Hashtags on TikTok
Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction
Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing
Full-Rank Perfect Codes over Finite Fields
Energy stable gradient flow schemes for shape and topology optimization in Navier-Stokes flows
Statistical Quantum Mechanics of the Random Permutation Sorting System (RPSS): A Self-Stabilizing True Uniform RNG
Joint image reconstruction and segmentation of real-time cardiac MRI in free-breathing using a model based on disentangled representation learning
How accurate models of human behavior are needed for human-robot interaction? For automated driving?
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic
AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals
CoMEt: x86 Cost Model Explanation Framework
Verified Optimization in a Quantum Intermediate Representation
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Instabilities of Robot Motion
Computing the exact sign of sums of products with floating point arithmetic
Multi-Metric Energy Efficient Routing in Mobile Ad-Hoc Networks
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning
Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection
Arbitrary-order pressure-robust DDR and VEM methods for the Stokes problem on polyhedral meshes
modelSolver: A Symbolic Model-Driven Solver for Power Network Simulation and Monitoring
Learning the Localization Function: Machine Learning Approach to Fingerprinting Localization
Robust Distribution Learning with Local and Global Adversarial Corruptions
Recovery of a mixture of Gaussians by sum-of-norms clustering
Interpretable Design of Reservoir Computing Networks using Realization Theory
Causal Inference on Time Series using Structural Equation Models
Graph Networks with Spectral Message Passing
Conflict-free connections: algorithm and complexity
Calibration of quasi-isotropic parallel kinematic Machines: Orthoglide
Assessing LLMs' Performance: Insights from the Chinese Pharmacist Exam
Probabilistic Safe Online Learning with Control Barrier Functions
Autonomous Exploration Method for Fast Unknown Environment Mapping by Using UAV Equipped with Limited FOV Sensor
Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning
Dense U-net for super-resolution with shuffle pooling layer
ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology
Quantum synchronizable codes from finite geometries
LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks
A Survey on Collaborative Mechanisms Between Large and Small Language Models
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
Retractions in Intersection Types
Composition and Application of Current Advanced Driving Assistance System: A Review
The DIRHA-English corpus and related tasks for distant-speech recognition in domestic environments
Evolutionary stable strategies in networked games: the influence of topology
Probabilistic Construction and Analysis of Seminormalized Hadamard Matrices
Active Learning with Expected Error Reduction
Training-free Heterogeneous Graph Condensation via Data Selection
Efficient Path Planning in Narrow Passages via Closed-Form Minkowski Operations
Over-the-Air Federated Edge Learning with Hierarchical Clustering
An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation
Semantic Property Maps for Driving Applications
Joint Pixel and Feature-level Domain Adaptation in the Wild
Discrete Adjoint Implicit Peer Methods in Optimal Control
GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs
Rate-reliability functions for deterministic identification
Optimizing Traversing and Retrieval Speed of Large Breached Databases
Unsupervised and Distributional Detection of Machine-Generated Text
Rethinking Post-Unlearning Behavior of Large Vision-Language Models
Review times in peer review: quantitative analysis of editorial workflows
Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users
Distributed interference management using Q-Learning in Cognitive Femtocell networks: New USRP-based Implementation
The Structure-Behavior Coalescence Method -Toward a Unified View of the Software System in Model-Driven Engineering
Solving Constrained Variational Inequalities via an Interior Point Method
DiagECG: An LLM-Driven Framework for Diagnostic Reasoning via Discretized ECG Tokenization
Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry
US College Net Price Prediction Comparing ML Regression Models
Unimodal Multi-Task Fusion for Emotional Mimicry Prediction
DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images
Sharp control time for viscoelastic bodys
On the Scheduling Policy for Multi-process WNCS under Edge Computing
Cyber-Physical Testbed Integrating RTAC with RTDS for Game-Theoretic Topology Control Under Load Altering Attacks
Distributionally Robust End-to-End Portfolio Construction
Active shooter detection and robust tracking utilizing supplemental synthetic data
Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa
Spatial-Functional awareness Transformer-based graph archetype contrastive learning for Decoding Visual Neural Representations from EEG
Sub-Rate Linear Network Coding
D 3 -Predictor: Noise-Free Deterministic Diffusion for Dense Prediction
Model Checking in multiplayer games development
Good r-divisions Imply Optimal Amortised Decremental Biconnectivity
Statistical Physics for Natural Language Processing
Space as Time Through Neuron Position Learning
A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends
An Effective Docker Image Slimming Approach Based on Source Code Data Dependency Analysis
Video Object Recognition in Mobile Edge Networks: Local Tracking or Edge Detection?
A Scenario-Driven Cognitive Approach to Next-Generation AI Memory
Active Fine-Tuning of Generalist Policies
Language Generation with Recurrent Generative Adversarial Networks without Pre-training
Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry
Going beyond p-convolutions to learn grayscale morphological operators
SPACER: A Parallel Dataset of Speech Production And Comprehension of Error Repairs
Repeating vs. Non-Repeating FRBs: A Deep Learning Approach To Morphological Characterization
GAN-based Image Compression with Improved RDO Process
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
A Guide to Design Disturbance Observer
Online Sequence-to-Sequence Active Learning for Open-Domain Dialogue Generation
Maximum Entropy Models for Fast Adaptation
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
Location Intelligence Reveals the Extent, Timing, and Spatial Variation of Hurricane Preparedness
Nonlinear Bipartite Matching
Covid-19 Public Sentiment Analysis for Indian Tweets Classification
A new way of deriving implicit Runge-Kutta methods based on repeated integrals
Discretizing $L_p$ norms and frame theory
Feasibility-Guided Fair Adaptive Offline Reinforcement Learning for Medicaid Care Management
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities
Hierarchically Regularized Deep Forecasting
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
Option Pricing with Convolutional Kolmogorov-Arnold Networks
Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning
Smt-Switch: a solver-agnostic C++ API for SMT Solving
Hidden Markov Random Field Iterative Closest Point
Going Off-road: Transversal Complexity in Road Networks
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
Pseudorandom Financial Derivatives
AsyMoE: Leveraging Modal Asymmetry for Enhanced Expert Specialization in Large Vision-Language Models
Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition
Logical N-AND Gate on a Molecular Turing Machine
Simulation de traces réelles d'E/S disque de PC
KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks
CLiFF Notes: Research in the Language, Information and Computation Laboratory of the University of Pennsylvania
Observing Interventions: A logic for thinking about experiments
Black-Box System Identification for Low-Cost Quadrotor Attitude at Hovering
Vid-CamEdit: Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry
Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface
Replacing thinking with tool usage enables reasoning in small language models
Next-Scale Autoregressive Models are Zero-Shot Single-Image Object View Synthesizers
Cuttlefish: Expressive Fast Path Blockchains with FastUnlock
Long-term balanced allocation via thinning
Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
System for systematic literature review using multiple AI agents: Concept and an empirical evaluation
Few is More: Task-Efficient Skill-Discovery for Multi-Task Offline Multi-Agent Reinforcement Learning
CommonPower: Supercharging Machine Learning for Smart Grids
Ensemble Federated Adversarial Training with Non-IID data
Complex hypergraph analysis of Australian MPs' professional connections, 1947-2019
Exposing the hidden layers and interplay in the quantum software stack
Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces
Inventory Management - A Case Study with NetLogo
The operad of wiring diagrams: formalizing a graphical language for databases, recursion, and plug-and-play circuits
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations
A Low-throughput Wavelet-based Steganography Audio Scheme
Identifying Cocoa Pollinators: A Deep Learning Dataset
Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation
Multimodal Large Language Model Framework for Safe and Interpretable Grid-Integrated EVs
Sampling Online Social Networks by Random Walk with Indirect Jumps
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
Low-power Secret-key Agreement over OFDM
Lattices for Physical-layer Secrecy: A Computational Perspective
Universal flow approximation with deep residual networks
Vector Quantization as Sparse Least Square Optimization
Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits
Spike-Timing-Dependent Inference of Synaptic Weights
Hypercomputation: Towards an extension of the classical notion of Computability?
Catching Stray Balls: Football, fandom, and the impact on digital discourse
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Nonconvex Rectangular Matrix Completion via Gradient Descent without 𝓁 2, ∞ Regularization
Optimal Primary-Secondary user Cooperation Policies in Cognitive Radio Networks
P 3 LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training
In-vehicle alertness monitoring for older adults
Interpretation of Plug-and-Play (PnP) algorithms from a different angle
Optimal routing in two-queue polling systems
Nonlinear bayesian tomography of ion temperature and velocity for Doppler coherence imaging spectroscopy in RT-1
Augmenting Automatic Speech Recognition Models with Disfluency Detection
Staggered time discretization in finitely-strained heterogeneous visco-elastodynamics with damage or diffusion in the Eulerian frame
Cyclic and Quasi-Cyclic LDPC Codes on Row and Column Constrained Parity-Check Matrices and Their Trapping Sets
MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient
Does FLUX Already Know How to Perform Physically Plausible Image Composition?
Optimal lower bounds for quantum automata and random access codes
Large-Small Model Collaborative Framework for Federated Continual Learning
A Survey on Large Language Models for Code Generation
StableCodec: Taming One-Step Diffusion for Extreme Image Compression
CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites
Differences between human and machine perception in medical diagnosis
Adaptive Total Variation Stable Local Timestepping for Conservation Laws
Quantum Oracle Interrogation: Getting all information for almost half the price
FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation
GoHammer Blockchain Performance Test Tool
Optimal Design and Cascading Failure Evaluation of Remedial Action Schemes
A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model
Early Jamming Detection in Mobile Indoor Scenarios via Deep Learning
OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
Cost-based Selection of Provenance Sketches for Data Skipping
Enhanced Offensive Language Detection Through Data Augmentation
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors
VGR-Net: A View Invariant Gait Recognition Network
Axiomatic systems and topological semantics for intuitionistic temporal logic
Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions
MARG: MAstering Risky Gap Terrains for Legged Robots with Elevation Mapping
Assessing the Dimensions of Relationship Quality in B2C E Banking Services: An Empirical Comparative Study
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
A virtual element approximation for the modified transmission eigenvalues for natural materials
Using the Transport of Intensity and the Transport of Phase Equation for Phase Retrieval
Spectral mesh-free quadrature for planar regions bounded by rational parametric curves
Butcher series for Hamiltonian Poisson integrators through symplectic groupoids
BART based semantic correction for Mandarin automatic speech recognition system
Incentive Design and Profit Sharing in Multi-modal Transportation Network
High order asymptotic preserving scheme for linear kinetic equations with diffusive scaling
EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data
Transferring Multiscale Map Styles Using Generative Adversarial Networks
Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization
Exact Synchronization for Finite-State Sources
A multiscale cavity method for sublinear-rank symmetric matrix factorization
Hellinger-Kantorovich barycenter between Dirac measures
Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing
Utility in Fashion with implicit feedback
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework
A new approximation method for solving stochastic differential equations
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
Towards Adversarial Retinal Image Synthesis
A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities
Sampling-based Roadmap Planners are Probably Near-Optimal after Finite Computation
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning
Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP
DesignLab: Designing Slides Through Iterative Detection and Correction
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Detecting truth on components
MemoryTalker: Personalized Speech-Driven 3D Facial Animation via Audio-Guided Stylization
Counting Palstars
Breaking the Chain of Gradient Leakage in Vision Transformers
BRIGHT - Graph Neural Networks in Real-Time Fraud Detection
Proceedings 16th Workshop on Quantitative Aspects of Programming Languages and Systems, QAPL@ETAPS 2019, Prague, Czech Republic, 7th April 2019
Viewpoint Integration and Registration with Vision Language Foundation Model for Image Change Understanding
Modernizing the HPC System Software Stack
A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)
New Self-Dual Codes of length 68 from a 2 by 2 block matrix Construction and Group Rings
PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Multi-channel Speech Separation Using Deep Embedding Model with Multilayer Bootstrap Networks
URI Identity and Web Architecture Revisited
Automating and Mechanizing Cutoff-based Verification of Distributed Protocols
The role of behavioural plasticity in finite vs infinite populations
Style Transfer with Target Feature Palette and Attention Coloring
Optimizer Dynamics at the Edge of Stability with Differential Privacy
LAMD: Context-driven Android Malware Detection and Classification with LLMs
Stencil scaling for vector-valued PDEs with applications to generalized Newtonian fluids
Dirty-paper Coding without Channel Information at the Transmitter and Imperfect Estimation at the Receiver
Incremental Semantic Mapping with Unsupervised On-line Learning
A new approach for a safe car assistance system
Exact aggregate models for optimal management of heterogeneous fleets of storage devices
Estimate the building height at a 10-meter resolution based on Sentinel data
The Concept of Forward-Forward Learning Applied to a Multi Output Perceptron
Ground-based image deconvolution with Swin Transformer UNet
Modeling Inter-Country Connection from Geotagged News Reports: A Time-Series Analysis
Investigating differences in lab-quality and remote recording methods with dynamic acoustic measures
Fundamentals of Vehicular Communication Networks with Vehicle Platoons
BiFlex: A Passive Bimodal Stiffness Flexible Wrist for Manipulation in Unstructured Environments
Vulnerability Detection in Smart Contracts: A Comprehensive Survey
TAPS: Connecting Certified and Adversarial Training
Quantitative Resilience of Linear Driftless Systems
Capacity-achieving and Flicker-free FEC coding scheme for Dimmable Visible Light Communication Based on Polar Codes
AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs
Computing the speed of convergence of ergodic averages and pseudorandom points in computable dynamical systems
Binary search trees and rectangulations
RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment
Finding Compiler Bugs through Cross-Language Code Generator and Differential Testing
Bayesian buckling load optimisation for structures with geometric uncertainties
An Investigation of the Weight Space for Version Control of Neural Networks
Recurrent Attention Unit
A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker One
Minding Motivation: The Effect of Intrinsic Motivation on Agent Behaviors
Competing for pixels: a self-play algorithm for weakly-supervised segmentation
S-RRT*-based Obstacle Avoidance Autonomous Motion Planner for Continuum-rigid Manipulator
Brown Ring Experiment in Virtual Reality
Connecting web-based mapping services with scientific data repositories: collaborative curation and retrieval of simulation data via a geospatial interface
Exploring synthetic data for cross-speaker style transfer in style representation based TTS
Optimal minimal-contact customer routing through grocery stores
Generalized powerlocales via relation lifting
When Robustness Meets Conservativeness: Conformalized Uncertainty Calibration for Balanced Decision Making
A diffusion-driven Characteristic Mapping method for particle management
Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network
Slanted Stixels: A way to represent steep streets
Pathlet Variational Auto-Encoder for Robust Trajectory Generation
Selective classification using a robust meta-learning approach
Two-timescale Beamforming Optimization for Intelligent Reflecting Surface Aided Multiuser Communication with QoS Constraints
Robust Modeling and Controls for Racing on the Edge
Multi-View Networks For Multi-Channel Audio Classification
Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025
Joint Beam Scheduling and Beamforming Design for Cooperative Positioning in Multi-beam LEO Satellite Networks
Multiscale Transforms for Signals on Simplicial Complexes
Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA
FlowPortal: Residual-Corrected Flow for Training-Free Video Relighting and Background Replacement
Engaging with Massive Online Courses
Symbolic Regression of Dynamic Network Models
ShapeWorld - A new test methodology for multimodal language understanding
Communications that Emerge through Reinforcement Learning Using a (Recurrent) Neural Network
Graphs, Entities, and Step Mixture
On Using Matching Theory to Understand P2P Network Design
Modeling Generalization in Machine Learning: A Methodological and Computational Study
Robust, Private and Secure Cache-Aided Scalar Linear Function Retrieval from Blind Servers
Visual Character Recognition using Artificial Neural Networks
User Interface Design Smell: Automatic Detection and Refactoring of Blob Listeners
Randomized Optimal Transport on a Graph: Framework and New Distance Measures
ICSML: Industrial Control Systems Machine Learning inference framework natively executing on IEC 61131-3 languages
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction
The Rapidly Changing Landscape of Conversational Agents
On the Permutation-Representation Number of Bipartite Graphs using Neighborhood Graphs
Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems
Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey
BEVCon: Advancing Bird's Eye View Perception with Contrastive Learning
Polar Codes for CQ Channels: Decoding via Belief-Propagation with Quantum Messages
On some interesting ternary formulas
Adaptive Modulation in Network-coded Two-way Relay Channel: A Supermodular Game Approach
Making Availability as a Service in the Clouds
Low Voltage Ride Through (LVRT) Constrained Transient Stability Assessment Using Lyapunov Functions Family Method
Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents
Safe Multi-Task Bayesian Optimization
Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Content
Enhanced Inversion of Schema Evolution with Provenance
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture
Graph heat mixture model learning
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings