yusuke1997/dblp-id-title huggingface dataset:
Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction
Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations
Sparse4D v2: Recurrent Temporal Fusion with Sparse Model
Inner approximation algorithm for solving linear multiobjective optimization problems
Self-Organizing Complex Networks with AI-Driven Adaptive Nodes for Optimized Connectivity and Energy Efficiency
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction
Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region
Neologism Learning as a Parameter-Efficient Alternative to Fine-Tuning for Model Steering
Bit Error Rate Performance Analysis on Modulation Techniques of Wideband Code Division Multiple Access
On the use of deep learning for phase recovery
Bounds for the sampling discretization error and their applications to universal sampling discretization
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU
Fully Packed and Ready to Go: High-Density, Rearrangement-Free, Grid-Based Storage and Retrieval
Mnesors for automatic control
SPINNs - Deep learning framework for approximation of stochastic differential equations
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing
A Study on Impacts of RTT Inaccuracy on Dynamic Bandwidth Allocation in PON and Solution
Binary [n,(n±1)/2] cyclic codes with good minimum distances from sequences
A Lower Bound on the Bayesian MSE Based on the Optimal Bias Function
Auctions vs Negotiations in Irregular Markets
Learning to Recover Spectral Reflectance from RGB Images
Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator
A Subject-Specific Four-Degree-of-Freedom Foot Interface to Control a Robot Arm
On the Impact of Antenna Topologies for Massive MIMO Systems
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning
Clinically-Validated Innovative Mobile Application for Assessing Blinking and Eyelid Movements
Proof-Theoretic Functional Completeness for the Connexive Logic C
Automatic tracing of mandibular canal pathways using deep learning
ILETIA: An AI-enhanced method for individualized trigger-oocyte pickup interval estimation of progestin-primed ovarian stimulation protocol
Priority-Driven Safe Model Predictive Control Approach to Autonomous Driving Applications
Scaling in the recovery of urban transportation systems from special events
Size of the medial axis and stability of Federer's curvature measures
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops
Distributed Reinforcement Learning for Molecular Design: Antioxidant case
A fast directional BEM for large-scale acoustic problems based on the Burton-Miller formulation
Forward electromagnetic induction modelling in a multilayered half-space: An open-source software tool
A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks
Estimation of Regions of Attraction for Nonlinear Systems via Coordinate-Transformed TS Models and Piecewise Quadratic Lyapunov Functions
Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP
Efficient LTL Decentralized Monitoring Framework Using Formula Simplification Table
XYScanNet: An Interpretable State Space Model for Perceptual Image Deblurring
Modelling SARS-CoV-2 coevolution with genetic algorithms
Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis
Improved Construction of Robust Gray Code
Sparse Camera Network for Visual Surveillance -- A Comprehensive Survey
Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial
FAME: Fairness-aware Attention-modulated Video Editing
SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated Image Detection
On k-rainbow domination in middle graphs
Sparse-data based 3D surface reconstruction with vector matching
Verifying Bit-vector Invertibility Conditions in Coq (Extended Abstract)
OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement
Can formal argumentative reasoning enhance LLMs performances?
On the Automated Processing of User Feedback
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
MotionFlow:Learning Implicit Motion Flow for Complex Camera Trajectory Control in Video Generation
Predicting the Future with Simple World Models
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Towards slime mould colour sensor: Recognition of colours by Physarum polycephalum
A data-driven model for Mass Media influence in electoral context
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning
Spatial-aware Symmetric Alignment for Text-guided Medical Image Segmentation
SymJAX: symbolic CPU/GPU/TPU programming
SoK: On Closing the Applicability Gap in Automated Vulnerability Detection
Towards Robust Active Feature Acquisition
CubeMLP: A MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation
Do Large Language Model Agents Exhibit a Survival Instinct? An Empirical Study in a Sugarscape-Style Simulation
A Fast Parametric Ellipse Algorithm
Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping
A Review of the Role of Causality in Developing Trustworthy AI Systems
Asymptotic Expansions for Gaussian Channels with Feedback under a Peak Power Constraint
PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs
Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching
A Note on Bayesian Networks with Latent Root Variables
Does quantification without adjustments work?
MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization
Finite element method with the total stress variable for Biot's consolidation model
Multivariate Time Series Imputation with Variational Autoencoders
Notes on Reed-Muller Codes
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression
Topology Identification and Inference over Graphs
Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs
Dynamic Motion Synthesis: Masked Audio-Text Conditioned Spatio-Temporal Transformers
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings
The Guesswork of Ordered Statistics Decoding: Complexity and Practical Design
PL-Net: Progressive Learning Network for Medical Image Segmentation
Quantum decision theory as quantum theory of measurement
Heterogeneous Runtime Verification of Safety Critical Cyber Physical Systems
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction
Ranking and Selection with Simultaneous Input Data Collection
Generalization of the Gibbs algorithm with high probability at low temperatures
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing
VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
Coded Caching in a Multi-Server System with Random Topology
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence
A Neuro-Inspired Hierarchical Reinforcement Learning for Motor Control
PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
The Evolution of Multimodal Model Architectures
Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
Global Solutions to Master Equations for Continuous Time Heterogeneous Agent Macroeconomic Models
High order approximation of Hodge Laplace problems with local coderivatives on cubical meshes
Communication-Free Distributed GNN Training with Vertex Cut
NAIL: A General Interactive Fiction Agent
Soft Errors Detection and Automatic Recovery based on Replication combined with different Levels of Checkpointing
Notes on Univariate Sumcheck
BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation
Ear-Phone: A Context-Aware Noise Mapping using Smart Phones
Reducing Overfitting in Deep Networks by Decorrelating Representations
Single parameter galaxy classification: The Principal Curve through the multi-dimensional space of galaxy properties
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Optimal Space and Time for Streaming Pattern Matching
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
UnKE: Unstructured Knowledge Editing in Large Language Models
Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task
HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding
Extending Elman's Bound for GMRES
Object Recognition, Dynamic Contact Simulation, Detection, and Control of the Flexible Musculoskeletal Hand Using a Recurrent Neural Network with Parametric Bias
Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation
Communication-Channel Optimized Partition
Approximating Large Frequency Moments with O(n 1-2/k ) Bits
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power
Boosting Certified 𝓁 ∞ Robustness with EMA Method and Ensemble Model
ReAssert: Deep Learning for Assert Generation
Robust Bayesian Nonnegative Matrix Factorization with Implicit Regularizers
Device to Device Pairs Sharding based on Distance
Document Searching System based on Natural Language Query Processing for Vietnam Open Courseware Library
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination
Robust Goal Recognition with Operator-Counting Heuristics
Equilibria in Quantitative Concurrent Games
A Review of Affective Generation Models
Towards Efficient 3D Gaussian Human Avatar Compression: A Prior-Guided Framework
A High-Level Modeling Language for the Efficient Design, Implementation, and Testing of Android Applications
The Consistency-Acceptability Divergence of LLMs in Judicial Decision-Making: Task and Stakeholder Dimensions
On The Distribution of Penultimate Activations of Classification Networks
An Intuitionistic Set-theoretical Model of the Extended Calculus of Constructions
Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents
A Pilot Study on Clinician-AI Collaboration in Diagnosing Depression from Speech
Hamilton-Jacobi Equations for Two Classes of State-Constrained Zero-Sum Games
Towards Sampling Data Structures for Tensor Products in Turnstile Streams
Information fusion between knowledge and data in Bayesian network structure learning
Experimental Evaluation of Bird Strikes in Urban Air Mobility
Joint covariance property under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive fields
Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning
Learning Unsupervised Learning Rules
Learning non-parametric Markov networks with mutual information
Challenges of 3D Surface Reconstruction in Capsule Endoscopy
Guidance and Control Networks with Periodic Activation Functions
Approximate Robust Control of Uncertain Dynamical Systems
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy
Performance of data networks with random links
Adaptive Set Observers Design for Nonlinear Continuous-Time Systems: Application to Fault Detection and Diagnosis
Does deep learning model calibration improve performance in class-imbalanced medical image classification?
Campus Traffic and e-Learning during COVID-19 Pandemic
Bottom-Up Stratified Probabilistic Logic Programming with Fusemate
Queuing with Deterministic Service Times and No Waiting Lines in Machine Type Communications
Hand Gesture Recognition Library
Lost in Data: How Older Adults Perceive and Navigate Health Data Representations
Machines Serve Human: A Novel Variable Human-machine Collaborative Compression Framework
Adaptive projected SOR algorithms for nonnegative quadratic programming
Skip-Layer Attention: Bridging Abstract and Detailed Dependencies in Transformers
"Nice Try, Kiddo": Ad Hominems in Dialogue Systems
Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation
Auto-Encoding for Shared Cross Domain Feature Representation and Image-to-Image Translation
Architecture for Automated Tagging and Clustering of Song Files According to Mood
On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
Exploring the Use of ChatGPT as a Tool for Learning and Assessment in Undergraduate Computer Science Curriculum: Opportunities and Challenges
Parameterized algorithms and data reduction for safe convoy routing
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis
QAC: Quantum-computing Aided Composition
Artificial Intelligence Techniques for Security Vulnerability Prevention
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles
RIS-aided secure communications over Fisher-Snedecor F Fading Channels
A Method for Random Packing of Spheres with Application to Bonding Modeling in Powder Bed 3D Printing Process
SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
Radio number for the Cartesian product of a tree and a complete graph
High-rate quantum low-density parity-check codes assisted by reliable qubits
Few Shot Semi-Supervised Learning for Abnormal Stop Detection from Sparse GPS Trajectories
Distributed Multirobot Control for Non-Cooperative Herding
Testing fine-grained parallelism for the ADMM on a factor-graph
A New Lower Bound for the Ramsey Number R(4, 8)
Further Results on Stability-Preserving Mechanisms for School Choice
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection
A Bayesian level set method for an inverse medium scattering problem in acoustics
Good Stabilizer Codes from Quasi-Cyclic Codes over F 4 and F 9
Two-Sided Manipulation Games in Stable Matching Markets
Genesis: Towards the Automation of Systems Biology Research
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
A Theory of RPC Calculi for Client-Server Model
ReactFace: Multiple Appropriate Facial Reaction Generation in Dyadic Interactions
Iterated Q-Network: Beyond the One-Step Bellman Operator
Improving Text Proposals for Scene Images with Fully Convolutional Networks
Data-driven reference model selection and application to L-DDC design
Effects of Limiting Memory Capacity on the Behaviour of Exemplar Dynamics
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning
A Hybrid Model for Forecasting Short-Term Electricity Demand
Memory Efficient and Staleness Free Pipeline Parallel DNN Training Framework with Improved Convergence Speed
Multimodal Emotion Recognition among Couples from Lab Settings to Daily Life using Smartwatches
An Analysis on Minimum s-t Cut Capacity of Random Graphs with Specified Degree Distribution
Competition analysis on the over-the-counter credit default swap market
Expanding the Katz Index for Link Prediction: A Case Study on a Live Fish Movement Network
Network-wide Quantum Key Distribution with Onion Routing Relay (Conference Version)
Multimodal Data Fusion for Power-On-and-GoRobotic Systems in Retail
Advances in Machine Learning for the Behavioral Sciences
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models
Fully-Featured Attribute Transfer
The Local Structure Theorem for Graph Minors with Finite Index
A random shuffle method to expand a narrow dataset and overcome the associated challenges in a clinical study: a heart failure cohort example
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
SID-NISM: A Self-supervised Low-light Image Enhancement Framework
When Optimal Transport Meets Information Geometry
Bayesian Nonparametrics for Non-exhaustive Learning
MELA: Modelling in Ecology with Location Attributes
Matrix Completion with Hypergraphs: Sharp Thresholds and Efficient Algorithms
Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs
ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
Graph Neural Networks for Node-Level Predictions
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
CARMA: Fair and efficient bottleneck congestion management with karma
FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
MODE: Multi-Objective Adaptive Coreset Selection
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
Convertible Codes: Efficient Conversion of Coded Data in Distributed Storage
Fast Parallel Newton-Raphson Power Flow Solver for Large Number of System Calculations with CPU and GPU
A Survey on IoT Smart Healthcare: Emerging Technologies, Applications, Challenges, and Future Trends
All Spin Nano-magnetic State Elements
Data-driven Control of Dynamic Event-triggered Systems with Delays
Clustering Molecular Energy Landscapes by Adaptive Network Embedding
RL-based Control of UAS Subject to Significant Disturbance
Large deviations for conditional guesswork
SkyMemory: A LEO Edge Cache for Transformer Inference Optimization and Scale Out
Distributed synthesis for acyclic architectures
Epilepsy Seizure Detection: Anatomy and Analysis
Artificial Intelligence in Open Radio Access Network
SDCT-AuxNet θ : DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis
Changes to the Facebook Algorithm Decreased News Visibility Between 2021-2024
Agentic Skill Discovery
Secure and Green SWIPT in Distributed Antenna Networks with Limited Backhaul Capacity
Accelerated proximal boosting
Dual-UAV-Aided Covert Communications for Air-to-Ground ISAC Networks
The Actias system: supervised multi-strategy learning paradigm using categorical logic
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems
Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics
iWatchRoadv2: Pothole Detection, Geospatial Mapping, and Intelligent Road Governance
Distributed Mixed Voltage Angle and Frequency Droop Control of Microgrid Interconnections with Loss of Distribution-PMU Measurements
Sequential Movie Genre Prediction using Average Transition Probability with Clustering
An Overview of Enhancing Distance Learning Through Augmented and Virtual Reality Technologies
Examem: Low-Overhead Memory Instrumentation for Intelligent Memory Systems
AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling
Online Dictionary Matching with One Gap
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation
Manifold-Constrained Sentence Embeddings via Triplet Loss: Projecting Semantics onto Spheres, Tori, and Möbius Strips
Information Extraction - A User Guide
Quantum information approach to the ultimatum game
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
A Parallel Compressive Imaging Architecture for One-Shot Acquisition
On Phases of Unique Sink Orientations
CSIS: compressed sensing-based enhanced-embedding capacity image steganography scheme
ALT-Pilot: Autonomous navigation with Language augmented Topometric maps
Dynamic Subgraph Matching via Cost-Model-based Vertex Dominance Embeddings (Technical Report)
Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual Impairments
Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models
Impact of link deletions on public cooperation in scale-free networks
Colonel Blotto with Battlefield Games
Are Current Decoding Strategies Capable of Facing the Challenges of Visual Dialogue?
Optimal Solutions of Well-Posed Linear Systems via Low-Precision Right-Preconditioned GMRES with Forward and Backward Stabilization
Vaccine: Perturbation-aware Alignment for Large Language Model
Incentive-Based Federated Learning: Architectural Elements and Future Directions
Deep learning surrogate models for spatial and visual connectivity
Vector Field Attention for Deformable Image Registration
Naughton's Wisconsin Bibliography: A Brief Guide
FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems
Pareto Optimal Compression of Genomic Dictionaries, with or without Random Access in Main Memory
Training-Free Robot Pose Estimation using Off-the-Shelf Foundational Models
The Influence of Human Aspects on Requirements Engineering: Software Practitioners Perspective
Machine Translation between Vietnamese and English: an Empirical Study
Physical Computation of Nash Equilibrium: 'Hydraulic' Resource Selection
A study of research trends and issues in wireless ad hoc networks
AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning
Towards Carbon Modeling of Cloud Servers with Accelerators
From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
Multi-task Multi-domain Representation Learning for Sequence Tagging
Solving Dense Generalized Eigenproblems on Multi-threaded Architectures
Public Perception of Generative AI on Twitter: An Empirical Study Based on Occupation and Usage
Call Admission Control based on Adaptive Bandwidth Allocation for Multi-Class Services in Wireless Networks
A New Approach for Knowledge Generation Using Active Inference
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Control Design for Inverters: Beyond Steady-State Droop Laws
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey
A New Generalized Closed Form Expression for Average Bit Error Probability Over Rayleigh Fading Channel
Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware
Moving Walkways, Escalators, and Elevators
Immersive VR Visualizations by VFIVE. Part 2: Applications
Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control
A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition
How Much Does It Cost to Train a Machine Learning Model over Distributed Data Sources?
PEHRT: A Common Pipeline for Harmonizing Electronic Health Record data for Translational Research
Incremental Computation with Names