yusuke1997/dblp-id-title huggingface dataset:
GPS Spoofing Attacks on AI-based Navigation Systems with Obstacle Avoidance in UAV
On Self-Regulated Swarms, Societal Memory, Speed and Dynamics
Lab Based Curriculum for CIS and Related Technology
Robust Monocular Flight in Cluttered Outdoor Environments
Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
Actor Capabilities for Message Ordering (Extended Version)
A Receding Horizon Scheduling Approach for Search & Rescue Scenarios
Automating Ethernet VPN Deployment in SDN-based Data Centers
Risk-based Design of Regular Plane Frames Subject to Damage by Abnormal Events: a Conceptual Study
Exploring and Analyzing Machine Commonsense Benchmarks
A Type II lattice of norm 8 in dimension 72
VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations
Characterizing Self-Developing Biological Neural Networks: A First Step Towards their Application To Computing Systems
A Multimodal Conversational Agent for Tabular Data Analysis
Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models
Boolean Variation and Boolean Logic BackPropagation
Component Based Development
Expert System for Diagnosis of Chest Diseases Using Neural Networks
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Cross-validation model assessment for modular networks
Boosting quantum annealer performance via quantum persistence
On Communication-Efficient Multisensor Track Association via Measurement Transformation (Extended Version)
Stereoscopic Cylindrical Screen (SCS) Projection
Algebraic matching techniques for fast decoding of polar codes with Reed-Solomon kernel
On the Achievable Rate-Regions for State-Dependent Gaussian Interference Channel
Optimal Design of Non-Orthogonal Multiple Access with Wireless Power Transfer
A Symbol-Based Estimation Technique for Inter-vehicular Communication Performance Optimization
Fixed-point Inversion for Text-to-image diffusion models
More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CT
ISEA: Image Steganalysis using Evolutionary Algorithms
Fundamental limits of overparametrized shallow neural networks for supervised learning
Unveiling Processing-Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments
Selective decay for the rotating shallow-water equations with a structure-preserving discretization
Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models
Collaborative Software Development on the Web
Observer-Based Feedback Stabilization of Linear Systems with Event-triggered Sampling and Dynamic Quantization
Representations as Language: An Information-Theoretic Framework for Interpretability
Evaluating MEDIRL: A Replication and Ablation Study of Maximum Entropy Deep Inverse Reinforcement Learning for Human Social Navigation
Modern approaches to building effective interpretable models of the property market using machine learning
HYPERgeometric functions DIfferential REduction: MATHEMATICA based packages for differential reduction of generalized hypergeometric functions: Horn hypergeometric functions of two variables
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
Texture Transform Attention for Realistic Image Inpainting
Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action Masking
Model parameter estimation using coherent structure coloring
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation
Region based Ensemble Learning Network for Fine-grained Classification
Quantified CTL with imperfect information
Mixed Integer Neural Inverse Design
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
Multi-Task Learning Improves Performance In Deep Argument Mining Models
A Lower Bound for Succinct Rank Queries
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity
Point cloud obstacle detection with the map filtration
Computability of semicomputable manifolds in computable topological spaces
Joint Power Control and Fronthaul Rate Allocation for Throughput Maximization in Broadband Cloud Radio Access Network
Develop Health Monitoring and Management System to Track Health Condition and Nutrient Balance for School Students
Report on the XBase Project
An Efficient and Small Convolutional Neural Network for Pest Recognition - ExquisiteNet
Deep Learning-based Sentiment Analysis of Olympics Tweets
On Fact and Frequency: LLM Responses to Misinformation Expressed with Uncertainty
Lifelong Navigation
Visual Analysis of Multi-outcome Causal Graphs
Weak Unit Disk and Interval Representation of Planar Graphs
Don't Pay Attention
Supporting the Careers of Developers with Disabilities: Lessons from Zup Innovation
EthVault: A Secure and Resource-Conscious FPGA-Based Ethereum Cold Wallet
Time-Adaptive PIROCK Method with Error Control for Multi-Fluid and Single-Fluid MHD Systems
A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT Denoising
Understanding and mitigating gradient pathologies in physics-informed neural networks
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models
Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
Memristors can implement fuzzy logic
Probabilistic verification of partially observable dynamical systems
A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Multiple-Candidate Successive Interference Cancellation with Widely-Linear Processing for MAI and Jamming Suppression in DS-CDMA Systems
Xi-Learning: Successor Feature Transfer Learning for General Reward Functions
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism
UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models
Moving by Looking: Towards Vision-Driven Avatar Motion Generation
Performance Measurement of Security Academic Information System using Maturity Level
Thread Detection and Response Generation using Transformers with Prompt Optimisation
Sea-Undistort: A Dataset for Through-Water Image Restoration in High Resolution Airborne Bathymetric Mapping
Joint demosaicing and denoising by overfitting of bursts of raw images
Hammer and Anvil: A Principled Defense Against Backdoors in Federated Learning
Unsupervised Deep Graph Matching Based on Cycle Consistency
Online Continual Learning in Image Classification: An Empirical Survey
A General Calibrated Regret Metric for Detecting and Mitigating Human-Robot Interaction Failures
AutoRally An open platform for aggressive autonomous driving
Conic Multi-Task Classification
Towards a Robust Retrieval-Based Summarization System
Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition
Broadcast Dimension of Graphs
DBCopilot: Scaling Natural Language Querying to Massive Databases
Personalized Multi-tier Federated Learning
Modelling Social Care Provision in An Agent-Based Framework with Kinship Networks
Lightweight Transformers for Human Activity Recognition on Mobile Devices
Part Segmentation of Human Meshes via Multi-View Human Parsing
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Piecewise Linear Activation Functions For More Efficient Deep Networks
Optimal Tradeoff Between Exposed and Hidden Nodes in Large Wireless Networks
Parameter Selection In Particle Swarm Optimization For Transportation Network Design Problem
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
Wheeled Robots playing Chain Catch: Strategies and Evaluation
The Role of Head-Up Display in Computer- Assisted Instruction
Sketching and Neural Networks
Variance, Self-Consistency, and Arbitrariness in Fair Classification
Knowledge Cores in Large Formal Contexts
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents
Circular Coordinates for Density-Robust Analysis
The Ends Justify the Thoughts: RL-Induced Motivated Reasoning in LLMs
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
GPU-initiated Fine-grained Overlap of Collective Communication with Computation
An Efficient Vein Pattern-based Recognition System
Structured Discrete Shape Approximation: Theoretical Complexity and Practical Algorithm
Rotation, Scaling and Translation Analysis of Biometric Signature Templates
UAV-Borne Digital Radar System for Coherent Multistatic SAR Imaging
LiteMat: a scalable, cost-efficient inference encoding scheme for large RDF graphs
Strategic Behavior and No-Regret Learning in Queueing Systems
BanditRepair: Speculative Exploration of Runtime Patches
Unsupervised Incremental Learning and Prediction of Audio Signals
A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics
Using the NANDA Index Architecture in Practice: An Enterprise Perspective
Heterogeneity for Increasing Performance and Reliability of Self-Reconfigurable Multi-Robot Organisms
One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design
Clinical Concept Extraction with Contextual Word Embedding
Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models
STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction
A Fog Computing Based Architecture for IoT Services and Applications Development
A Conceptual Model for Measuring the Complexity of Spreadsheets
Impact-Friendly Object Catching at Non-Zero Velocity based on Hybrid Optimization and Learning
Une analyse basée sur la S-DRT pour la modélisation de dialogues pathologiques
ML-Based Optimum Sub-system Size Heuristic for the GPU Implementation of the Tridiagonal Partition Method
An Open Source Testing Tool for Evaluating Handwriting Input Methods
Fast color transfer from multiple images
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics
Current and voltage based bit errors and their combined mitigation for the Kirchhoff-law-Johnson-noise secure key exchange
Stationary and Mobile Target Detection using Mobile Wireless Sensor Networks
Iterative Weak Learnability and Multi-Class AdaBoost
Geodesic Sinkhorn: optimal transport for high-dimensional datasets
The Moral Burden of Ambiguity Aversion
Recursive Attentive Pooling for Extracting Speaker Embeddings from Multi-Speaker Recordings
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
LLM Agents can Autonomously Hack Websites
Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning
Risk Assessment Graphs: Utilizing Attack Graphs for Risk Assessment
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Network Coding Based on Chinese Remainder Theorem
SCCRUB: Surface Cleaning Compliant Robot Utilizing Bristles
Anticipatory routing methods for an on-demand ridepooling mobility system
On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level
The 4th Dimension for Scaling Model Size
VAE-based regularization for deep speaker embedding
Enhanced Grid Following Inverter: A Uniform Control Design Framework
Optimization-based Trajectory Tracking Approach for Multi-rotor Aerial Vehicles in Unknown Environments
Session Types with Runtime Adaptation: Overview and Examples
Learning Camera-Agnostic White-Balance Preferences
Learning Large Euclidean Margin for Sketch-based Image Retrieval
Promising Topics for U.S.-China Dialogues on AI Risks and Governance
A comparison of uncertainty estimation approaches for DNN-based camera localization
A Survey of Classification Techniques in the Area of Big Data
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Simulating the Waterfall Model: A Systematic Review
Automating Variational Differentiation
Within-sample variability-invariant loss for robust speaker recognition under noisy environments
Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition
The Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems
OSS-Based Grid Computing
Sampling-based Causal Inference in Cue Combination and its Neural Implementation
Connectivity-Aware Contract for Incentivizing IoT Devices in Complex Wireless Blockchain Networks
Optimal Status Updates for Minimizing Age of Correlated Information in IoT Networks with Energy Harvesting Sensors
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis
Context-based Transfer and Efficient Iterative Learning for Unbiased Scene Graph Generation
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Implementation and Evaluation of a Framework to calculate Impact Measures for Wikipedia Authors
Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation
Information Minimization In Emergent Languages
Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021)
Implementing a teleo-reactive programming system
CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing
Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality
Automated Audio Captioning using Audio Event Clues
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach
Learning Continuous Face Representation with Explicit Functions
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter
Sluice networks: Learning what to share between loosely related tasks
Poncelet Propellers: Invariant Total Blade Area
Sparse Convolutional Beamforming for Ultrasound Imaging
Multimodal Shared Autonomy for Social Navigation Assistance of Telepresence Robots
Generating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks
Balancing Egoism and Altruism on the Interference Channel: The MIMO case
GegenbauerNet: Finding the Optimal Compromise in the GNN Flexibility-Stability Trade-off
Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition
Overview of the Amphion Toolkit (v0.2)
Computing Balanced Solutions for Large International Kidney Exchange Schemes When Cycle Length Is Unbounded
AI-Mediated Exchange Theory
Networked partisanship and framing: a socio-semantic network analysis of the Italian debate on migration
Tensor Method for Optimal Control Problems Constrained by Fractional 3D Elliptic Operator with Variable Coefficients
UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization
Support vector machines/relevance vector machine for remote sensing classification: A review
Game-Theoretic and Reinforcement Learning-Based Cluster Head Selection for Energy-Efficient Wireless Sensor Network
Quotegraph: A Social Network Extracted from Millions of News Quotations
Semantics for Linear-time Temporal Logic with Finite Observations
Top-Related Meta-Learning Method for Few-Shot Detection
The Role of "Live" in Livestreaming Markets: Evidence Using Orthogonal Random Forest
Expectations in Expectation Propagation
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction
Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass
Human Mobility in Opportunistic Networks: Characteristics, Models and Prediction Methods
CALLM: Context-Aware Emotion Analysis in Cancer Survivors Using LLMs and Retrieval-Augmented Mobile Diaries
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards
Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design
On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning
Learning models of quantum systems from experiments
Efficient Quantum Algorithms for Shifted Quadratic Character Problems
Advancing parabolic operators in thermodynamic MHD models: Explicit super time-stepping versus implicit schemes with Krylov solvers
State Feedback Controllers with Operational Constraints
Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
Coprime Bivariate Bicycle Codes and their Properties
Beyond the Surface: A Solution-Aware Retrieval Model for Competition-level Code Generation
Temporal Frictions and Judicial Outcomes: Analyzing the Impact of Time Delays on Criminal Sentencing in Cook County (2020-2024)
Two-faced processes and random number generators
Multi-Scenario Highway Lane-Change Intention Prediction: A Physics-Informed AI Framework for Three-Class Classification
Agent Exchange: Shaping the Future of AI Agent Economics
Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2
An Information-Flow Perspective on Explainability Requirements: Specification and Verification
DOLLmC: DevOps for Large Language model Customization
Hypernetwork Science: From Multidimensional Networks to Computational Topology
Towards Top-K Non-Overlapping Sequential Patterns
YASMIN: Yet Another State MachINe library for ROS 2
Building Trust: Foundations of Security, Safety and Transparency in AI
Pseudo-random Aloha for Enhanced Collision-recovery in RFID
Explicit Use of Fourier Spectrum in Generative Adversarial Networks
State of the Art: Content-based and Hybrid Phishing Detection
Towards Behavior-Level Explanation for Deep Reinforcement Learning
Data-Oriented Language Processing. An Overview
Delivering Speaking Style in Low-resource Voice Conversion with Multi-factor Constraints
Distribution of Cell Size in Bounded Voronoi Tesselations with Application to Secure Local Connectivity
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
Categorization of Comparative Sentences for Argument Mining
Linear combinations of orders
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis
Towards Differential Relational Privacy and its use in Question Answering
Infection percolation: A dynamic network model of disease spreading
Linear and Reed Solomon Codes Against Adversarial Insertions and Deletions
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges
Plug-in privacy for Smart Metering billing
Uniform Convergence of Adversarially Robust Classifiers
Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs
Voting based ensemble improves robustness of defensive models
Leveraging Multimodal Protein Representations to Predict Protein Melting Temperatures
Implementation of Noise-Shaped Signaling System through Software-Defined Radio
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification with Convolutional Neural Networks
Interference Avoidance Position Planning in UAV-assisted Wireless Communication
Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"
Binned Group Algebra Factorization for Differentially Private Continual Counting
Ensuring Query Compatibility with Evolving XML Schemas
TRUST: An LLM-Based Dialogue System for Trauma Understanding and Structured Assessments
Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Performance Bounds for Pairwise Entity Resolution
Equilibrium Graphs
Perspectives on Stochastic Localization
Learning Quantitative Automata Modulo Theories
NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems
Synthetic-to-Real Transfer Learning for Chromatin-Sensitive PWS Microscopy
Reinforcing Action Policies by Prophesying
Small Towers Make Big Differences
Watermarking Large Language Model-based Time Series Forecasting
Time-Varying Foot-Placement Control for Underactuated Humanoid Walking on Swaying Rigid Surfaces
Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
Learning Multilingual Word Embeddings Using Image-Text Data
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
A lower bound for the ELBO of the Bernoulli Variational Autoencoder
Symmetric Disjunctive List-Decoding Codes
Computational phase transition in Quantum Approximate Optimization Algorithm - the difference between hard and easy
Analyzing Community-aware Centrality Measures Using The Linear Threshold Model
On the Effectiveness of Clone Detection for Detecting IoT-related Vulnerable Clones
Multi-Modal Scene Graph with Kolmogorov-Arnold Experts for Audio-Visual Question Answering
Resoling Open-textured Rules with Templated Interpretive Arguments
Adaptive Streaming Perception using Deep Reinforcement Learning
Unsupervised identification of surgical robotic actions from small non homogeneous datasets
Shuffle Gaussian Mechanism for Differential Privacy
Landmarks and Regions: A Robust Approach to Data Extraction
Exploring LOTS in Deep Neural Networks
Protograph-based Bit-Interleaved Coded Modulation: A Promising Bandwidth-Efficient Design Paradigm
Grover's Algorithm and Many-Valued Quantum Logic
Analyse des rôles dans les communautés virtuelles : définitions et premières expérimentations sur IMDb
Complete analytic solution to Brownian unicycle dynamics
Quantum generative adversarial learning in photonics
When LP is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings
NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks
Task adaption by biologically inspired stochastic comodulation
Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale
Differential quadrature element for second strain gradient beam theory
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
High SNR Consistent Compressive Sensing
Using a memory of motion to efficiently achieve visual predictive control tasks
Learning Pose-invariant 3D Object Reconstruction from Single-view Images
Revisit graph neural networks and distance encoding in a practical view
Exploring Italian sentence embeddings properties through multi-tasking
DiffPose-Animal: A Language-Conditioned Diffusion Framework for Animal Pose Estimation
A phase field model for hydrogen-assisted fatigue
SloMo-Fast: Slow-Momentum and Fast-Adaptive Teachers for Source-Free Continual Test-Time Adaptation
Interactively Optimizing Layout Transfer for Vector Graphics
Individual specialization in multi-task environments with multiagent reinforcement learners