yusuke1997/dblp-id-title huggingface dataset:
A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem
Asymptotically compatible meshfree discretization of state-based peridynamics for linearly elastic composite materials
Structured Spatial Reasoning with Open Vocabulary Object Detectors
A Semi-Algebraic Framework for Verification and Synthesis of Control Barrier Functions
GRETA: Modular Platform to Create Adaptive Socially Interactive Agents
Modal Analysis Using Sparse and Co-prime Arrays
Evaluating Opportunistic Delivery of Large Content with TCP over WiFi in I2V Communication
TopoNAS: Boosting Search Efficiency of Gradient-based NAS via Topological Simplification
Arabian Horse Identification Benchmark Dataset
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning
Program algebra for random access machine programs
Improving Study Skills using Program Integrating Reflection Seminars
Conditional Generative Modeling is All You Need for Marked Temporal Point Processes
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization
False Discoveries Occur Early on the Lasso Path
KnowIt: Deep Time Series Modeling and Interpretation
Neural Token Segmentation for High Token-Internal Complexity
ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding
Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study
A Construction of Asymptotically Optimal Cascaded CDC Schemes via Combinatorial Designs
Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis
Remarks on stochastic automatic adjoint differentiation and financial models calibration
Automatic Language Identification System for Hindi and Magahi
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising
Moving-Horizon State Estimation for Power Networks and Synchronous Generators
Building State Machine Replication Using Practical Network Synchrony
Extending FKG.in: Towards a Food Claim Traceability Network
Music Genre Classification: Training an AI model
Visualizing the Loss Landscape of Actor Critic Methods with Applications in Inventory Optimization
Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques
Data Poisoning: Lightweight Soft Fault Injection for Python
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans
Recommended Practices for NPOV Research on Wikipedia
Toward a Generalization Metric for Deep Generative Models
An Incentive Mechanism for Crowd Sensing with Colluding Agents
All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
A Dynamic Clustering and Resource Allocation Algorithm for Downlink CoMP Systems with Multiple Antenna UEs
Comparison of Two Context-Free Rewriting Systems with Simple Context-Checking Mechanisms
Learning Cluster Structured Sparsity by Reweighting
How Far Are We from Optimal Reasoning Efficiency?
Model-Based Transfer Learning for Real-Time Damage Assessment of Bridge Networks
An Efficient Biological Sequence Compression Technique Using LUT And Repeat In The Sequence
A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods
Feature Learning in Infinite-Width Neural Networks
Game-theoretic Network Centrality: A Review
Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering
A Design of Endurance Queue for Co-Existing Systems in Multi-Programmed Environments
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery
Exploring Task-Solving Paradigm for Generalized Cross-Domain Face Anti-Spoofing via Reinforcement Fine-Tuning
Using Tangible Interaction to Design Musicking Artifacts for Non-musicians
Multi-view Face Analysis Based on Gabor Features
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource Languages
Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning
Online Coresets for Clustering with Bregman Divergences
An improved lower bound on the length of the longest cycle in random graphs
Predicting Stress in Remote Learning via Advanced Deep Learning Technologies
Relativistic changes to particle trajectories are difficult to detect
My Views Do Not Reflect Those of My Employer: Differences in Behavior of Organizations' Official and Personal Social Media Accounts
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
Unknown Biases and Timing Constraints in Timed Automata
Complexity of Networks
Sparse Image based Navigation Architecture to Mitigate the need of precise Localization in Mobile Robots
Task-based End-to-end Model Learning
Customizing Contextualized Language Models forLegal Document Reviews
First Field-Trial Demonstration of L4 Autonomous Optical Network for Distributed AI Training Communication: An LLM-Powered Multi-AI-Agent Solution
First things first: If software engineering is the solution, then what is the problem?
StreamFlow: cross-breeding cloud with HPC
Weak percolation on multiplex networks
The Stories We Tell About Data: Media Types for Data-Driven Storytelling
A Seamless Integration of Association Rule Mining with Database Systems
Grey graphs and its application
Modelling and Control of Production Systems based on Observed Inter-event Times: An Analytical and Empirical Investigation (Ph.D. Thesis)
Triangle-mapping Analysis on Spatial Competition and Cooperation of Chinese Cities
DanModCap: Designing a Danmaku Moderation Tool for Video-Sharing Platforms that Leverages Impact Captions
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
Tracking as A Whole: Multi-Target Tracking by Modeling Group Behavior with Sequential Detection
Hand-Object Contact Detection using Grasp Quality Metrics
Continuous Strategy Replicator Dynamics for Multi-Agent Learning
Overcoming Free-Riding in Bandit Games
Inferring Temporal Logic Properties from Data using Boosted Decision Trees
cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching
Neural Invertible Variable-degree Optical Aberrations Correction
Row monomial matrices and Černy conjecture, short proof
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains
Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge?
Blockchain in Healthcare and Medicine: A Contemporary Research of Applications, Challenges, and Future Perspectives
SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection
Necessary and sufficient conditions for strong stability of explicit Runge-Kutta methods
Multi-Layer Hybrid-ARQ for an Out-of-Band Relay Channel
On some practical challenges of conformal prediction
Correlation Preserving Sparse Coding Over Multi-level Dictionaries for Image Denoising
Nugget Discovery with a Multi-objective Cultural Algorithm
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting
An Automated Evaluation Metric for Chinese Text Entry
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective
Correction to "Generalized Self-Shrinking Generator"
Deep Learning Approach in Automatic Iceberg - Ship Detection with SAR Remote Sensing Data
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering
Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images
Smart nudging for efficient routing through networks
GenAI as Digital Plastic: Understanding Synthetic Media Through Critical AI Literacy
A review of UAV Visual Detection and Tracking Methods
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Asymptotic Stability of Active Disturbance Rejection Control for Linear SISO Plants with Low Observer Gains
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction
CoNet: Borderless and decentralized server cooperation in edge computing
Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways
MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images
Dynamic Software Updates for Unmodified Browsers through Multi-Version Execution
Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing
Absorbing boundary conditions for the Helmholtz equation using Gauss-Legendre quadrature reduced integrations
2018 Low-Power Image Recognition Challenge
Identifying critical higher-order interactions in complex networks
Beyond CNNs: Efficient Fine-Tuning of Multi-Modal LLMs for Object Detection on Low-Data Regimes
3D Nephrographic Image Synthesis in CT Urography with the Diffusion Model and Swin Transformer
Discrete time model predictive control for humanoid walking with step adjustment
KAN or MLP? Point Cloud Shows the Way Forward
Collecting Influencers: A Comparative Study of Online Network Crawlers
Evaluating the (in)accessibility of data behind papers in astronomy
Higher dimensional generalization of the Benjamin-Ono equation: 2D case
First Occurrence of Parity Vectors and the Regular Structure of k-Span Predecessor Sets in the Collatz Graph
Identification of Additive Link Metrics: Proof of Selected Theorems
LLMCache: Layer-Wise Caching Strategies for Accelerated Reuse in Transformer Inference
Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches
A Comment on and Correction to: Opinion dynamics in the presence of increasing agreement pressure
A Set-Theoretic Framework for Parallel Graph Rewriting
Subclasses of Presburger Arithmetic and the Weak EXP Hierarchy
Continuous descriptor-based control for deep audio synthesis
On Symmetries in Analytic Input-Output Systems
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football
Experiments with Detecting and Mitigating AI Deception
Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
An Annotated Corpus of Arabic Tweets for Hate Speech Analysis
A Hierarchical Analysis of Propositional Temporal Logic Based on Intervals
A Text-Based Knowledge-Embedded Soft Sensing Modeling Approach for General Industrial Process Tasks Based on Large Language Model
Split Deep Q-Learning for Robust Object Singulation
Prompt Tuning for Graph Neural Networks
PARIS: Personalized Activity Recommendation for Improving Sleep Quality
An OpenCL(TM) Deep Learning Accelerator on Arria 10
From calls to communities: a model for time varying social networks
On Instability of Minimax Optimal Optimism-Based Bandit Algorithms
Speech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play
AFL-Net: Integrating Audio, Facial, and Lip Modalities with Cross-Attention for Robust Speaker Diarization in the Wild
Mobile Manipulation Instruction Generation from Multiple Images with Automatic Metric Enhancement
Hybrid Systems for Knowledge Representation in Artificial Intelligence
Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition
Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints
Blocking Mechanism of Porn Website in India: Claim and Truth
Return words in interval exchange transformations
Multimodal Brain Visualization
Two Heads are Better than One: Robust Learning Meets Multi-branch Models
Space-Time Decomposition of Kalman Filter
DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning
High Order Neural Networks for Video Classification
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
Learning When to Ask: Simulation-Trained Humanoids for Mental-Health Diagnosis
Realistic Extreme Image Rescaling via Generative Latent Space Learning
Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots
A Generic Solution to Register-bounded Synthesis with an Application to Discrete Orders
CTBC: Contact-Triggered Blind Climbing for Wheeled Bipedal Robots with Instruction Learning and Reinforcement Learning
Computing Educator Attitudes about Motivation
A generalization of Amdahl's law and relative conditions of parallelism
Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning
Vandermonde-subspace Frequency Division Multiplexing for Two-Tiered Cognitive Radio Networks
A hybrid index model for efficient spatio-temporal search in HBase
SketchRef: A Benchmark Dataset and Evaluation Metrics for Automated Sketch Synthesis
HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels
SMOTExT: SMOTE meets Large Language Models
On The Chain Rule Optimal Transport Distance
Safety Blind Spot in Remote Driving: Considerations for Risk Assessment of Connection Loss Fallback Strategies
DogMo: A Large-Scale Multi-View RGB-D Dataset for 4D Canine Motion Recovery
Explainable Heterogeneous Anomaly Detection in Financial Networks via Adaptive Expert Routing
Tango: rethinking quantization for graph neural network training on GPUs
Learning-To-Embed: Adopting Transformer based models for E-commerce Products Representation Learning
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph
Image Compressed Sensing Using Non-local Neural Network
The expressiveness of quasiperiodic and minimal shifts of finite type
A New CGAN Technique for Constrained Topology Design Optimization
Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation
On the repeated inversion of a covariance matrix
Education-Oriented Graph Retrieval-Augmented Generation for Learning Path Recommendation
Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study
The Human-AI Handshake Framework: A Bidirectional Approach to Human-AI Collaboration
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach
FullPack: Full Vector Utilization for Sub-Byte Quantized Inference on General Purpose CPUs
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
Natural Language State Representation for Reinforcement Learning
Effects of Automated Interventions in Programming Assignments: Evidence from a Field Experiment
Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network
LanternNet: A Novel Hub-and-Spoke System to Seek and Suppress Spotted Lanternfly Populations
Explicable Robot Planning as Minimizing Distance from Expected Behavior
The CESAW dataset: a conversation
A survey on unmanned aerial vehicle collision avoidance systems
Parsed Categoric Encodings with Automunge
FediLoRA: Heterogeneous LoRA for Federated Multimodal Fine-tuning under Missing Modalities
A Discussion on Practical Considerations with Sparse Regression Methodologies
AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
LLM as BT-Planner: Leveraging LLMs for Behavior Tree Generation in Robot Task Planning
Differentially Private Decentralized Optimization with Relay Communication
A Computationally Efficient Hamilton-Jacobi-based Formula for State-Constrained Optimal Control Problems
Query Understanding for Natural Language Enterprise Search
Bias-Variance Trade-off for Clipped Stochastic First-Order Methods: From Bounded Variance to Infinite Mean
The discrete charm of iterated function systems. A computer scientist's perspective on approximation of IFS invariant sets and measures
Now You're Thinking With Structures: A Concept for Structure-based Interactions with Spreadsheets
MAxPrototyper: A Multi-Agent Generation System for Interactive User Interface Prototyping
Adaptive Path Integral Diffusion: AdaPID
Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation
VeriFi: Model-Driven Runtime Verification Framework for Wireless Protocol Implementations
GitHub Marketplace for Automation and Innovation in Software Production
Tightly-Coupled LiDAR-IMU-Leg Odometry with Online Learned Leg Kinematics Incorporating Foot Tactile Information
Pattern Based Multivariate Regression using Deep Learning (PBMR-DP)
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne
The Building of BODHI, a Bio-diversity Database System
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
Empirical Equilibria in Agent-based Economic systems with Learning agents
A polynomial-time randomized reduction from tournament isomorphism to tournament asymmetry
LGBQPC: Local Granular-Ball Quality Peaks Clustering
PSMACA: An Automated Protein Structure Prediction Using MACA (Multiple Attractor Cellular Automata)
An Adjoint Optimization Approach to Network Topology and Discrete Pipe Size Design for District Heating Networks
Solving Hard Stable Matching Problems Involving Groups of Similar Agents
Reactive Motion Generation on Learned Riemannian Manifolds
Granular-ball Optimization Algorithm
On privacy amplification, lossy compression, and their duality to channel coding
Unambiguous Prioritized Repairing of Databases
Approximation and Gradient Descent Training with Neural Networks
Intelligent Transportation Systems to Mitigate Road Traffic Congestion
Web based e-learning in india: the cumulative views of different aspects
SHE-MTJ Circuits for Convolutional Neural Networks
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Loss-aware Pricing Strategies for Peer-to-Peer Energy Trading
Multi-Objective Congestion Control
Spotting Suspicious Reviews via (Quasi-)clique Extraction
FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation
Towards Privacy-Preserving, Real-Time and Lossless Feature Matching
KonIQ-10k: Towards an ecologically valid and large-scale IQA database
HERO: Human Reaction Generation from Videos
Converged Algorithms for Orthogonal Nonnegative Matrix Factorizations
In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
EarthPT: a foundation model for Earth Observation
The NING Humanoid: The Concurrent Design and Development of a Dynamic and Agile Platform
ChatGPT Reads Your Tone and Responds Accordingly - Until It Does Not - Emotional Framing Induces Bias in LLM Outputs
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning?
Geometry-based Estimation of Stability Region for A Class of Structure Preserving Power Grids
Simplifying Momentum-based Riemannian Submanifold Optimization
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models
Assessing the Noise Robustness of Class Activation Maps: A Framework for Reliable Model Interpretability
LGR-MPC: A user-friendly software based on Legendre-Gauss-Radau pseudo spectral method for solving Model Predictive Control problems
Proximity-Aware Calculation of Cable Series Impedance for Systems of Solid and Hollow Conductors
Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera
A Hybrid Quantum Classical Pipeline for X Ray Based Fracture Diagnosis
Exploiting Isomorphic Subgraphs in SAT (Long version)
Clustering Optimisation Techniques in Mobile Networks
Text-guided Visual Prompt DINO for Generic Segmentation
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights
ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems
Flexible skylines, regret minimization and skyline ranking: a comparison to know how to select the right approach
X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid Analysis
A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation
Efficient Point-to-Subspace Query in ℓ 1 : Theory and Applications in Computer Vision
Nominal Type Theory by Nullary Internal Parametricity
Towards Swarm Calculus: Urn Models of Collective Decisions and Universal Properties of Swarm Performance
An adaptive granularity clustering method based on hyper-ball
Computational Complexity-Constrained Spectral Efficiency Analysis for 6G Waveforms
MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation
Classification Aggregation without Unanimity
QADM-Net: Quality-adaptive Dynamic Network for Reliable Multimodal Classification
Meta-Analysis and Systematic Review for Anomaly Network Intrusion Detection Systems: Detection Methods, Dataset, Validation Methodology, and Challenges
Relational Extraction on Wikipedia Tables using Convolutional and Memory Networks
A Game Theoretic Analysis of Incentives in Content Production and Sharing over Peer-to-Peer Networks
Financial Data Analysis with Robust Federated Logistic Regression
Error analysis of an asymptotic preserving dynamical low-rank integrator for the multi-scale radiative transfer equation
Maximizing the Cohesion is NP-hard
Analysis of time series and signals using the Square Wave Method
Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems
Authorship Attribution in Multilingual Machine-Generated Texts
Mapping Datasets to Object Storage System
Commutation-Angle Iterative Learning Control for Intermittent Data: Enhancing Piezo-Stepper Actuator Waveforms
A note on 2×2 block-diagonal preconditioning
Mathematical conjecture generation using machine intelligence
VeriThinker: Learning to Verify Makes Reasoning Model Efficient
Local Feature or Mel Frequency Cepstral Coefficients - Which One is Better for MLN-Based Bangla Speech Recognition?
VHDL Modeling of Intrusion Detection & Prevention System (IDPS) A Neural Network Approach
RWKV-X: A Linear Complexity Hybrid Language Model
Few-shot Image Classification with Multi-Facet Prototypes
Anomaly-aware multiple instance learning for rare anemia disorder classification
Boosting the rule-out accuracy of deep disease detection using class weight modifiers
Speaker Identification Experiments Under Gender De-Identification
Random Access Protocol for Massive MIMO: Strongest-User Collision Resolution (SUCR)
Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference
Research On Permanent Magnet BLDC for small electric vehicle
Vec2Face+ for Face Dataset Generation
Learning by Reconstruction Produces Uninformative Features For Perception
p-Bits for Probabilistic Spin Logic
Injective Sliced-Wasserstein embedding for weighted sets and point clouds
Modal functional interpretations