yusuke1997/dblp-id-title huggingface dataset:
Trust is not all about performance: trust biases in interaction with humans, robots and computers
Multimodal Fusion of Glucose Monitoring and Food Imagery for Caloric Content Prediction
The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting
Boosting Spatial Reuse via Multiple Paths Multi-Hop Scheduling for Directional mmWave WPANs
From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach
Capacity-Approaching Autoencoders for Communications
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment
vEDGAR - Can CARLA Do HiL?
New Separations Results for External Information
Enhancing Pre-trained ASR System Fine-tuning for Dysarthric Speech Recognition using Adversarial Data Augmentation
Multiple Shooting Approach for Finding Approximately Shortest Paths for Autonomous Robots in Unknown Environments in 2D
Hybrid Modeling Design Patterns
Identifying Purpose Behind Electoral Tweets
TRACTATUS on disjoint matchings in cubic graphs
Critique of Boyu Sima's Proof that P ≠ NP
Disparity-in-Differences: Extracting Hierarchical Backbones of Weighted Directed Networks
From data to functa: Your data point is a function and you should treat it like one
GMM based multi-stage Wiener filtering for low SNR speech enhancement
Towords the Near Optimal Sampling Complexity via Generalized Exponential Spectral Pursuit
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
Service Discovery - A Survey and Comparison
Toward accessible comics for blind and low vision readers
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance
FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks
MedGellan: LLM-Generated Medical Guidance to Support Physicians
Dual Invariance Self-training for Reliable Semi-supervised Surgical Phase Recognition
SenseMyCity: Crowdsourcing an Urban Sensor
Measuring privacy in smart metering anonymized data
A Novel Optimization Algorithm for Buffer and Splitter Minimization in Phase-Skipping Adiabatic Quantum-Flux-Parametron Circuits
Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains
Collaborating Robotics Using Nature-Inspired Meta-Heuristics
Finite element discretization of the steady, generalized Navier-Stokes equations for small shear stress exponents
Interactive and Automatic Generation of Primitive Custom Circuit Layout Using LLMs
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
Contrastive Learning MRI Reconstruction
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk
Exploring Visual Prompting: Robustness Inheritance and Beyond
Transfer Learning in Visual and Relational Reasoning
ORIC: Benchmarking Object Recognition in Incongruous Context for Large Vision-Language Models
Improving Lower Bounds for Equitable Chromatic Number
Class-N-Diff: Classification-Induced Diffusion Model Can Make Fair Skin Cancer Diagnosis
Extracting Finite State Machines from Transformers
Robust Online Algorithms for Dynamic Problems
Composing games into complex institutions
On Efficient Approximation of the Maximum Distance to A Point Over an Intersection of Balls
Families of graph-different Hamilton paths
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity - A Review
LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs
Homography Estimation in Complex Topological Scenes
Nonlinear Monte Carlo methods with polynomial runtime for high-dimensional iterated nested expectations
The Agentic Regulator: Risks for AI in Finance and a Proposed Agent-based Framework for Governance
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Online Continual Learning under Extreme Memory Constraints
Historical Dynamics of Lexical System as Random Walk Process
ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units using Chebyshev Approximations
FLex: Joint Pose and Dynamic Radiance Fields Optimization for Stereo Endoscopic Videos
Harmony Perception by Periodicity Detection
DenseBox: Unifying Landmark Localization with End to End Object Detection
Basis Collapse for Holographic Algorithms Over All Domain Sizes
HM-Talker: Hybrid Motion Modeling for High-Fidelity Talking Head Synthesis
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: A Preliminary Empirical Study
Hierarchical Re-Classification: Combining Animal Classification Models with Vision Transformers
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space
Developing a Novel Approach for Periapical Dental Radiographs Segmentation
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation
MAIRA-1: A specialised large multimodal model for radiology report generation
Implicit assessment of language learning during practice as accurate as explicit testing
GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations
Waveform Phasicity Prediction from Arterial Sounds through Spectogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment
cGANs with Conditional Convolution Layer
Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems
Neuro-Symbolic Artificial Intelligence for Patient Monitoring
Solving Robotics Tasks with Prior Demonstration via Exploration-Efficient Deep Reinforcement Learning
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression
Performance Analysis of a Photovoltaic System with Thermoelectric Generator and Phase Change Material; An Experimental Approach
Abstract Effects and Proof-Relevant Logical Relations
Use of Repositories and its Significance for Engineering Education / El Uso de Repositorios y su Importancia para la Educación en Ingeniería
Temporal Consistency Loss for High Resolution Textured and Clothed 3DHuman Reconstruction from Monocular Video
Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks
Fast computation of rankings from pairwise comparisons
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems
Retrieval-Augmented Generation Systems for Intellectual Property via Synthetic Multi-Angle Fine-tuning
Distribution-sensitive Information Retention for Accurate Binary Neural Network
Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents
FishDet-M: A Unified Large-Scale Benchmark for Robust Fish Detection and CLIP-Guided Model Selection in Diverse Aquatic Visual Domains
Superficial Self-Improved Reasoners Benefit from Model Merging
Robust Orbital Stabilization: A Floquet Theory-based approach
GUX-Analyzer: A Deep Multi-modal Analyzer Via Motivational Flow For Game User Experience
Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations
From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers
Linear Contextual Bandits with Adversarial Corruptions
Power Decoding Reed-Solomon Codes Up to the Johnson Radius
Maxing Out the SVM: Performance Impact of Memory and Program Cache Sizes in the Agave Validator
Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach
Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots
Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces
From Target Tracking to Targeting Track - Part II: Regularized Polynomial Trajectory Optimization
Computation of Power Law Equilibrium Measures on Balls of Arbitrary Dimension
Towards a sharper phase-field method: a hybrid diffuse-semisharp approach for microstructure evolution problems
A Geometrical-Statistical approach to outlier removal for TDOA measuments
Data-driven anomaly detection in large battery packs
Self-similarity Analysis in Deep Neural Networks
Approximation of functions with one-bit neural networks
Logic Programming with Macro Connective
SubData: A Python Library to Collect and Combine Datasets for Evaluating LLM Alignment on Downstream Tasks
Modélisation des facteurs influençant la performance de la chaîne logistique
Gene Set Summarization using Large Language Models
"To Clean-Code or Not To Clean-Code" A Survey among Practitioners
Rethinking Continual Learning for Autonomous Agents and Robots
Optimal signal propagation in ResNets through residual scaling
Distributed Model Predictive Control for Cooperative Multirotor Landing on Uncrewed Surface Vessel in Waves
A Coding Theorem for Rate-Limited Quantum-Classical Optimal Transport
Designing a Collaborative Platform for Advancing Supply Chain Transparency
What can we learn from misclassified ImageNet images?
AEBNAS: Strengthening Exit Branches in Early-Exit Networks through Hardware-Aware Neural Architecture Search
The Rainbow Arborescence Problem on Cycles
Learning Impact-Rich Rotational Maneuvers via Centroidal Velocity Rewards and Sim-to-Real Techniques: A One-Leg Hopper Flip Case Study
Inducing information stability and applications thereof to obtaining information theoretic necessary conditions directly from operational requirements
Boosting in Location Space
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection
Personalized Federated Learning: An Attentive Collaboration Approach
Designing Rules to Pick a Rule: Aggregation by Consistency
Data hiding in complex-amplitude modulation using a digital micromirror device
On the order-diameter ratio of girth-diameter cages
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans
Visualization Tool: Exploring COVID-19 Data
A Framework for Cloud Security Risk Management Based on the Business Objectives of Organizations
Approximation Algorithm of Minimum All-Ones Problem for Arbitrary Graphs
Spectrum Sensing with Spectral Covariance for Cognitive Radio
Fundamental Limits of Dynamic Interference Management with Flexible Message Assignments
Optimal Adjacent Vertex-Distinguishing Edge-Colorings of Circulant Graphs
FEAST Eigenvalue Solver v4.0 User Guide
Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain
Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches
Provable Deterministic Leverage Score Sampling
XYZCylinder: Feedforward Reconstruction for Driving Scenes Based on A Unified Cylinder Lifting Method
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification
On the Existence of Optimal Exact-Repair MDS Codes for Distributed Storage
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements
Model Stitching by Functional Latent Alignment
On the Security of Privacy-Preserving Vehicular Communication Authentication with Hierarchical Aggregation and Fast Response
CTRAN: CNN-Transformer-based Network for Natural Language Understanding
Accelerating Machine Learning Primitives on Commodity Hardware
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
Unlocking Accuracy and Fairness in Differentially Private Image Classification
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
Local Bayesian Optimization for Controller Tuning with Crash Constraints
A Critical Study on Tea Leaf Disease Detection using Deep Learning Techniques
Pre-trained Large Language Models Learn Hidden Markov Models In-context
Scalable Stochastic Alternating Direction Method of Multipliers
Research Impact of Solar Panel Cleaning Robot on Photovoltaic Panel's Deflection
The Symbol Grounding Problem
Joint Detection, Channel Estimation and Interference Nulling for Terrestrial-Satellite Downlink Co-Existence in the Upper Mid-Band
mPyPl: Python Monadic Pipeline Library for Complex Functional Data Processing
A (Basis for a) Philosophy of a Theory of Fuzzy Computation
A brief review of contrastive learning applied to astrophysics
Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators
Spectral Projected Subgradient Method for Nonsmooth Convex Optimization Problems
Measuring Machine Companionship: Scale Development and Validation for AI Companions
Statistical Performance of Radio Interferometric Calibration
An Argumentation-based Approach for Explaining Goal Selection in Intelligent Agents
The Software Garden
Placement Of Energy Aware Wireless Mesh Nodes For E-Learning In Green Campuses
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving
Vulnerability of Finitely-long Blockchains in Securing Data
Dynamics of the Ride-Sourcing Market: A Coevolutionary Model of Competition between Two-Sided Mobility Platforms
On the Entity Hardening Problem in Multi-layered Interdependent Networks
Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes
An Actor-Critic Method for Simulation-Based Optimization
Graph Clustering with Dynamic Embedding
Model-based gait recognition using graph network on very large population database
A New Dynamic Optimal Relay Selection and RF interfaces Setting Algorithm (DORSA) in M2M of IoT Applications
Rastreo muscular móvil usando magnetomicrometría - traducción al español del articulo "Untethered Muscle Tracking Using Magnetomicrometry" por el autor Cameron R. Taylor
Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models
Peer Expectation in Robust Forecast Aggregation: The Possibility/Impossibility
$Y$-$Δ$ Product in 3-Way $Δ$ and Y-Channels for Cyclic Interference and Signal Alignment
Topology Optimization through Differentiable Finite Element Solver
BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding
Improving Code Example Recommendations on Informal Documentation Using BERT and Query-Aware LSH: A Comparative Study
Safe Periodic Trochoidal Paths for Fixed-Wing UAVs in Confined Windy Environments
Three Degrees of Distance on Twitter
What can a 1980s BASIC programming textbook teach us today?
Solo citations, duet citations, and prelude citations: New measures of the disruption of academic papers
Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems
Why walking the dog takes time: Frechet distance has no strongly subquadratic algorithms unless SETH fails
Interval colorings of edges of a multigraph
Ethical Underpinnings in the Design and Management of ICT Projects
Sky Highway Design for Dense Traffic
Deep learning and American options via free boundary framework
SimLOB: Learning Representations of Limited Order Book for Financial Market Simulation
Products of irreducible random matrices in the (Max,+) Algebra
Characterizing Lidar Point-Cloud Adversities Using a Vector Field Visualization
What's on Your Plate? Inferring Chinese Cuisine Intake from Wearable IMUs
How (Not) To Evaluate Explanation Quality
Gradient Descent based Optimization Algorithms for Deep Learning Models Training
Approximating N-Player Nash Equilibrium through Gradient Descent
Non-Empty Bins with Simple Tabulation Hashing
CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
Sense Amplifier Comparator with Offset Correction for Decision Feedback Equalization based Receivers
A Train Status Assistant for Indian Railways
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability
An Open, Programmable, Multi-vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface
Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets
DOFS: A Real-world 3D Deformable Object Dataset with Full Spatial Information for Dynamics Model Learning
New Fairness Metrics for Recommendation that Embrace Differences
Enabling Reusability in Agile Software Development
NeuroKoopman Dynamic Causal Discovery
Linear convergence of SDCA in statistical estimation
Predicting the Popularity of Reddit Posts with AI
Reflections on the Clinical Acceptance of Artificial Intelligence
For Better or for Worse? A Framework for Critical Analysis of ICT4D for Women
The Social Benefits of Balancing Creativity and Imitation: Evidence from an Agent-based Model
Enclave Tasking for Discontinuous Galerkin Methods on Dynamically Adaptive Meshes
End-to-End Retrieval in Continuous Space
An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
Joint Synchronization and Symbol Detection for Diffusion-based Molecular Communication Systems
Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic
Well conditioned ptychograpic imaging via lost subspace completion
Artificial intelligence and radiation protection. A game changer or an update?
Complexity and Algorithm for the Matching vertex-cutset Problem
ncRNA Classification with Graph Convolutional Networks
Voice EHR: Introducing Multimodal Audio Data for Health
Aggregation of Constrained Crowd Opinions for Urban Planning
Architectural Software Patterns for the Development of IoT Smart Applications
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
TraverseNet: Unifying Space and Time in Message Passing
Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis
Design and development of desktop braille printing machine at Fablab Nepal
Questions as cognitive filters
A Hierarchical Approach to Environment Design with Generative Trajectory Modeling
Expected RIP: Conditioning of The Modulated Wideband Converter
Learning to Compress Videos without Computing Motion
OpenDigger: Data Mining and Information Service System for Open Collaboration Digital Ecosystem
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
Online Learning in Fisher Markets with Unknown Agent Preferences
Sum-Of-Squares To Approximate Knapsack
Socially Fair Center-based and Linear Subspace Clustering
Multi-modal Sensor Registration for Vehicle Perception via Deep Neural Networks
A Probabilistic Model Of Interaction Dynamics for Dyadic Face-to-Face Settings
Max-Min Fairness of Rate-Splitting Multiple Access with Finite Blocklength Communications
Multi-similarity based Hyperrelation Network for few-shot segmentation
A Framework for Fast and Efficient Neural Network Compression
The c-differential spectrum of x ↦ x (p n +1)/2 in finite fields of odd characteristics
Proceedings 6th Interaction and Concurrency Experience, ICE 2013, Florence, Italy, 6th June 2013
Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback
Driving with Guidance: Exploring the Trade-Off Between GPS Utility and Privacy Concerns Among Drivers
Aligning Enterprise Systems with the Organisation A Sensemaking Perspective
A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
DualTune: Decoupled Fine-Tuning for On-Device Agentic Systems
Frequency-domain analysis for reset systems using pulse-based model
Test-time Scaling Techniques in Theoretical Physics - A Comparison of Methods on the TPBench Dataset
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks
On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-Reported Attention During Video Lecture Learning
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots
A Tale of Two Referees
Exploring Parameter-Efficient Fine-tuning for Improving Communication Efficiency in Federated Learning
GeneCAI: Genetic Evolution for Acquiring Compact AI
Influence of Motion Restrictions in an Ankle Exoskeleton on Gait Kinematics and Stability in Straight Walking
Approximating the Partition Function of Two-Spin Systems on Bipartite Graphs
Next Generation Business Intelligence and Analytics: A Survey
Reducing measurements in quantum erasure correction by quantum local recovery
An XML based Document Suite
Optimal Textures: Fast and Robust Texture Synthesis and Style Transfer through Optimal Transport
Cramér-Rao Bounds for the Simultaneous Estimation of Power System Electromechanical Modes and Forced Oscillations
ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception
Permutation Excess Entropy and Mutual Information between the Past and Future
Consistency-based anomaly detection with adaptive multiple-hypotheses predictions
On the Efficiency of Strategies for Subdividing Polynomial Triangular Surface Patches
Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network
Research Challenges in Wireless Sensor Network: A State of the Play
Layer-adapted meshes: Milestones in 50 years of history
Structural Ramsey Theory and the Extension Property for Partial Automorphisms
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Structured low-rank matrix completion for forecasting in time series analysis
Overview of Tencent Multi-modal Ads Video Understanding Challenge
Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models
Linear State Estimation in Presence of Bounded Uncertainties: A Comparative Analysis
Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
K-VIL: Keypoints-based Visual Imitation Learning
PCF Learned Sort: a Learning Augmented Sort Algorithm with O(n log log n) Expected Complexity
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
Error analysis of the space-time interface-fitted finite element method for an inverse source problem for an advection-diffusion equation with moving subdomains
DenseSplat: Densifying Gaussian Splatting SLAM with Neural Radiance Prior
Contrastive Abstraction for Reinforcement Learning
Strong Error Estimates for a Space-Time Discretization of the Linear-Quadratic Control Problem with the Stochastic Heat Equation with Linear Noise
Numerical verification of the convexification method for a frequency-dependent inverse scattering problem with experimental data
Dynamic Causal Attack Graph based Cyber-security Risk Assessment Framework for CTCS System
Vision Transformers: State of the Art and Research Challenges
Towards Web of Things Middleware: A Systematic Review
Personalized and Context-aware Route Planning for Edge-assisted Vehicles
Categorical Classification of Book Summaries Using Word Embedding Techniques
Variational autoencoders for tissue heterogeneity exploration from (almost) no preprocessed mass spectrometry imaging data
PointCompress3D - A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems