yusuke1997/dblp-id-title huggingface dataset:
A Comparative Analysis of Robust and Reliable Designs Using the Compromise Decision Support Problem: A Case Study in Hot Rod Rolling Processes
From Algorithm Worship to the Art of Human Learning: Insights from 50-year journey of AI in Education
Continuations, proofs and tests
Fine-grained Metrics for Point Cloud Semantic Segmentation
AutoAssert 1: A LoRA Fine-Tuned LLM Model for Efficient Automated Assertion Generation
Explainable Knowledge Distillation for On-device Chest X-Ray Classification
An Optimal Prefix Replication Strategy for VoD Services
Mitigating adversarial effects through randomization
Probabilistic Deep Metric Learning for Hyperspectral Image Classification
Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography
Novel Development of LLM Driven mCODE Data Model for Improved Clinical Trial Matching to Enable Standardization and Interoperability in Oncology Research
Traffic networks are vulnerable to disinformation attacks
Translation of "Simplizialzerlegungen von Beschrankter Flachheit" by Hans Freudenthal, Annals of Mathematics, Second Series, Volume 43, Number 3, July 1942, Pages 580-583
Semantic Context for Tool Orchestration
Prediction and Modularity in Dynamical Systems
A new and improved quantitative recovery analysis for iterative hard thresholding algorithms in compressed sensing
Protecting Anti-virus Programs From Viral Attacks
Toroidal AutoEncoder
Multimodal Fusion SLAM with Fourier Attention
Connecting Visual Experiences using Max-flow Network with Application to Visual Localization
Deep Neural Networks for Relation Extraction
ILCR: Item-based Latent Factors for Sparse Collaborative Retrieval
RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data
PCRI: Measuring Context Robustness in Multimodal Models for Enterprise Applications
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
Leveraging Large Language Models for Cybersecurity Risk Assessment - A Case from Forestry Cyber-Physical Systems
Discovering Mental Health Research Topics with Topic Modeling
Building and Maintaining a Third-Party Library Supply Chain for Productive and Secure SGX Enclave Development
A New Data Source for Inverse Dynamics Learning
Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems
Can Information Behaviour Inform Machine Learning?
A Unified Formulation for Visual Odometry
MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification
Volume-based Semantic Labeling with Signed Distance Functions
Research Pearl: The ROSI Operating System Interface
Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images
Learning to Generate Text in Arbitrary Writing Styles
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
The Quantum Cut-and-Choose Technique and Quantum Two-Party Computation
Stability of Epidemic Models over Directed Graphs: A Positive Systems Approach
Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model
Are We in The Zone? Exploring The Features and Method of Detecting Simultaneous Flow Experiences Based on EEG Signals
The complexity of quantified constraints: collapsibility, switchability and the algebraic formulation
XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament
Recovery of Images with Missing Pixels using a Gradient Compressive Sensing Algorithm
Harmonic Analysis of Boolean Networks: Determinative Power and Perturbations
Multivariate Interpolation on Unisolvent Nodes - Lifting the Curse of Dimensionality
Participation Interfaces for Human-Centered AI
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners
A Risk-Aware Adaptive Robust MPC with Learned Uncertainty Quantification
GAUSS: Benchmarking Structured Mathematical Skills for Large Language Models
WaveSim: A Wavelet-based Multi-scale Similarity Metric for Weather and Climate Fields
Evaluation of trackers for Pan-Tilt-Zoom Scenarios
Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
Interpolation in generative models
CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models
Unlocking Innate Computing Abilities in Electric Grids
E-books and Graphics with LaTeXML
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation
Identifying the Desired Word Suggestion in Simultaneous Audio
Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation
Cognitive Perspectives on Context-based Decisions and Explanations
Zero-shot Shape Classification of Nanoparticles in SEM Images using Vision Foundation Models
VCS: Value Chains Simulator, a Tool for Value Analysis of Manufacturing Enterprise Processes (A Value-Based Decision Support Tool)
Error Analysis for the Implicit Boundary Integral Method
Formal verification of space systems designed with TASTE
Using Latent Codes for Class Imbalance Problem in Unsupervised Domain Adaptation
Quantitative Characterization of Randomly Roving Agents
Parallel Diffusion Solver via Residual Dirichlet Policy Optimization
Approaches to Formal Verification of Security Protocols
Hardware Trust and Assurance through Reverse Engineering: A Survey and Outlook from Image Analysis and Machine Learning Perspectives
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
Understanding Learning Dynamics Through Structured Representations
3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models
Stable Restoration and Separation of Approximately Sparse Signals
A remark on higher order RUE-resolution with EXTRUE
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks
Noisy Tensor Completion via Low-rank Tensor Ring
Large Neural Networks Learning from Scratch with Very Few Data and without Regularization
Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic Approximation
Signal Recovery on Graphs
Blind Turbo Demodulation for Differentially Encoded OFDM with 2D Trellis Decomposition
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
Quantigence: A Multi-Agent AI Framework for Quantum Security Research
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Simulation of Quantum Computers: Review and Acceleration Opportunities
An Automated Text Categorization Framework based on Hyperparameter Optimization
One dimensional Convolutional Goppa Codes over the projective line
Want to bring a community together? Create more sub-communities
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization
A numerical method for solving elliptic equations on real closed algebraic curves and surfaces
RadGame: An AI-Powered Platform for Radiology Education
On Zero-Delay RDF for Vector-Valued Gauss-Markov Sources with Additional Noise
Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems
A New Weighted Spearman's Footrule as A Measure of Distance between Rankings
Modeling Web Evolution
Sensorless Resonance Tracking of Resonant Electromagnetic Actuator through Back-EMF Estimation for Mobile Devices
Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial
Cellwise and Casewise Robust Covariance in High Dimensions
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty
Average Consensus by Graph Filtering: New Approach, Explicit Convergence Rate and Optimal Design
Data-Efficient Pretraining with Group-Level Data Influence Modeling
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding
Learning charges and long-range interactions from energies and forces
Jumping Automata Must Pay
Bacteriophage classification for assembled contigs using Graph Convolutional Network
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation
DeepGoal: Learning to Drive with driving intention from Human Control Demonstration
Realtime Multilevel Crowd Tracking using Reciprocal Velocity Obstacles
Fast and Work-Optimal Parallel Algorithms for Predicate Detection
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Sparse Recovery by Non-convex Optimization -- Instance Optimality
Spectral Properties of Infinitely Smooth Kernel Matrices in the Single Cluster Limit, with Applications to Multivariate Super-Resolution
On the rational subsets of the monogenic free inverse monoid
Large scale-free networks are not disassortative
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks
Emulating a computing grid in a local environment for feature evaluation
PeerSwap: A Peer-Sampler with Randomness Guarantees
MultiGraphMatch: a subgraph matching algorithm for multigraphs
Multi-party Holomeetings: Toward a New Era of Low-Cost Volumetric Holographic Meetings in Virtual Reality
Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection
Reasoning about Actual Causes in Nondeterministic Domains - Extended Version
Find my mug: Efficient object search with a mobile robot using semantic segmentation
Online learning to accelerate nonlinear PDE solvers: applied to multiphase porous media flow
T-TExTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation
Influence of Control Parameters and the Size of Biomedical Image Datasets on the Success of Adversarial Attacks
Convergence theory for IETI-DP solvers for discontinuous Galerkin Isogeometric Analysis that is explicit in h and p
Proactive Push with Energy Harvesting Based Small Cells in Heterogeneous Networks
On Graph Theory vs. Time-Domain Discrete Event Simulation for Topology-Informed Assessment of Power Grid Cyber Risk
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry
Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production
Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
Return probability and k-step measures
Spectral Fidelity and Spatial Enhancement: An Assessment and Cascading of Pan-Sharpening Techniques for Satellite Imagery
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion Features
High-level Counterexamples for Probabilistic Automata
YOPO-Rally: A Sim-to-Real Single-Stage Planner for Off-Road Terrain
Global Optimal Power Flow over Large-Scale Power Transmission Network
The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction
ChildAugment: Data Augmentation Methods for Zero-Resource Children's Speaker Verification
Converting a Common Document Scanner to a Multispectral Scanner
Transmit Diversity v. Spatial Multiplexing in Modern MIMO Systems
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
Development of research network on Quantum Annealing Computation and Information using Google Scholar data
An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization
Towards Graph Neural Network Surrogates Leveraging Mechanistic Expert Knowledge for Pandemic Response
Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
On Pruning Adversarially Robust Neural Networks
Abstract Predicate Entailment over Points-To Heaplets is Syntax Recognition
Fair Differentially Private Federated Learning Framework
Clustering-based Tile Embedding (CTE): A General Representation for Level Design with Skewed Tile Distributions
Support Driven Wavelet Frame-based Image Deblurring
Zipf's laws of meaning in Catalan
Introduction to speech recognition
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
MARE: Multi-Agents Collaboration Framework for Requirements Engineering
Scaling Up Silicon Photonic-based Accelerators: Challenges and Opportunities, and Roadmapping with Silicon Photonics 2.0
Markov chain models for inspecting response dynamics in psychological testing
On the Medianwidth of Graphs
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Development and Validation of a Scalable Fast Load Shedding Technique for Industrial Power Systems
Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat
Network Fusion for Content Creation with Conditional INNs
A Low-Complexity Message Recovery Method for Compute-and-Forward Relaying
On the Demystification of Knowledge Distillation: A Residual Network Perspective
In-Memory Load Balancing for Discontinuous Galerkin Methods on Polytopal Meshes
NeuroCodeBench: a plain C neural network benchmark for software verification
Cisco Time Series Model Technical Report
Hashing geographical point data using the space-filling H-curve
OntoAligner Meets Knowledge Graph Embedding Aligners
An "outside the box" solution for imbalanced data classification
MalRAG: A Retrieval-Augmented LLM Framework for Open-set Malicious Traffic Identification
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive- k
SI based disease model over signed network
S 2 M 2 : Scalable Stereo Matching Model for Reliable Depth Estimation
On the representation and embedding of knowledge bases beyond binary relations
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
Impact of the malicious input data modification on the efficiency of quantum algorithms
Is simplicity still possible for a more accurate approximation to the perimeter of the ellipse? or, Using the exponential function to further improve the second Ramanujan's approximation
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule
Finite Expression Methods for Discovering Physical Laws from Data
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition
Monitoring Auditable Claims in the Cloud
Improving the data quality in the research information systems
MotionPersona: Characteristics-aware Locomotion Control
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification
Selectivity or Invariance: Boundary-aware Salient Object Detection
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications
SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid
Quantitative Analysis of Particles Segregation
ElastoGen: 4D Generative Elastodynamics
Metrics for Explainable AI: Challenges and Prospects
Token2Wave
Convergence Analysis of an Adaptive Nonconforming FEM for Phase-Field Dependent Topology Optimization in Stokes Flow
Behavioural equivalences for fluid stochastic Petri nets
Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design
NatureLM: Deciphering the Language of Nature for Scientific Discovery
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
Constructing a Knowledge Graph from Unstructured Documents without External Alignment
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs
Automating Capacitor Part Selection with Dual-Objective Optimization
Scenario-based Failure Analysis of Product Systems and their Environment
On RadCom channel capacity for V2V applications
A Comparative Study of Removal Noise from Remote Sensing Image
Comparison of DCO-OFDM and M-PAM for LED-Based Communication Systems
Hierarchical Graph Pooling Based on Minimum Description Length
Solving Multi-Goal Robotic Tasks with Decision Transformer
Text-Video Retrieval with Global-Local Semantic Consistent Learning
Societal biases reinforcement through machine learning: A credit scoring perspective
Pre-trained Transformer-models using chronic invasive electrophysiology for symptom decoding without patient-individual training
Fashionpedia-Taste: A Dataset towards Explaining Human Fashion Taste
Personalized Ranking for Context-Aware Venue Suggestion
Structure preserving discontinuous Galerkin approximation of one-dimensional port-Hamiltonian systems
Sparse Depth Enhanced Direct Thermal-infrared SLAM Beyond the Visible Spectrum
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior
New Construction of Locally q-ary Sequential Recoverable Codes: Parity-check Matrix Approach
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples
Pathwidth and nonrepetitive list coloring
Night-to-Day Translation via Illumination Degradation Disentanglement
The vertex visibility number of graphs
Investigating Misinformation Dissemination on Social Media in Pakistan
Lp Computable Functions and Fourier Series
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification
Control of Timed Discrete Event Systems with Ticked Linear Temporal Logic Constraints
An Introduction to Multilevel Monte Carlo for Option Valuation
Multi-CALF: A Policy Combination Approach with Statistical Guarantees
Fast Restricted Causal Inference
S2-Net: Self-supervision Guided Feature Representation Learning for Cross-Modality Images
A Heuristic Bayesian Approach to Knowledge Acquisition: Application to Analysis of Tissue-Type Plasminogen Activator
Reinforcement Learning for Sleep-Wake Scheduling in Sensor Networks
Information Systems with Witnesses: The Function Space Construction
A Coupled Optimization Framework for Correlated Equilibria in Normal-Form Game
Proposed Information Sharing Security Approach for Security Personnels, Vertical Integration, Semantic Interoperability Architecture and Framework for Digital Government
Omni-Dimensional Frequency Learner for General Time Series Analysis
A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations
Mathematical modeling of a Cosserat method in finite-strain holonomic plasticity
Completeness of Cross-Blockchain Transactions: A Combinatorial-Algebraic-Topological Approach
Edsger Wybe Dijkstra (1930 - 2002): A Portrait of a Genius
Parameter Estimation-Based Observer for Linear Systems with Polynomial Overparametrization
Domino: Eliminating Communication in LLM Training via Generic Tensor Slicing and Overlapping
Long-Term Productivity Based on Science, not Preference
PatchRot: A Self-Supervised Technique for Training Vision Transformers
Capacity Theorems for Quantum Multiple Access Channels
Conservative Integrators for Many-body Problems
Assessing the Alignment of Automated Vehicle Decisions with Human Reasons
Diversity-Integration Trade-offs in MIMO Detection
Decentralised Learning MACs for Collision-free Access in WLANs
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution
Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety
Photonic reservoir computing enabled by stimulated Brillouin scattering
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
Integrating Disparate Sources of Experts for Robust Image Denoising
Multi-task Learning-based CSI Feedback Design in Multiple Scenarios
Costly Collaborations: The Impact of Scientific Fraud on Co-authors' Careers
Deep Active Learning for Computer Vision: Past and Future
Autonomous Crack Detection using Deep Learning on Synthetic Thermogram Datasets
Text-Driven Diffusion Model for Sign Language Production
Glo-DMU: A Deep Morphometry Framework of Ultrastructural Characterization in Glomerular Electron Microscopic Images
Parallel Automatic History Matching Algorithm Using Reinforcement Learning
A biased random-key genetic algorithm with variable mutants to solve a vehicle routing problem
Scalable Content Delivery with Coded Caching in Multi-Antenna Fading Channels
A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields
Probability calibration for precipitation nowcasting
Quantum channel discrimination against jammers
Dynamic Byzantine Reliable Broadcast [Technical Report]
Cloud Resource Allocation for Cloud-Based Automotive Applications
Bias-variance decompositions: the exclusive privilege of Bregman divergences
R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval
Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability
Epidemiological and public health requirements for COVID-19 contact tracing apps and their evaluation
Shared Control for Vehicle Lane-Changing with Uncertain Driver Behaviors
Kidney abnormality segmentation in thorax-abdomen CT scans
Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework
MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction Fusion
RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions
Private Frequency Estimation via Projective Geometry
Designing for Health Chatbots
At the Speed of the Heart: Evaluating Physiologically-Adaptive Visualizations for Supporting Engagement in Biking Exergaming in Virtual Reality
Audio-Visual Embodied Navigation
Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases?
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning
Dimension-independent convergence rate of propagation of chaos and numerical analysis for McKean-Vlasov stochastic differential equations with coefficients nonlinearly dependent on measure
Optimal Multiplexing Gain of K-user Line-of-Sight Interference Channels with Polarization
MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing
Self-correcting High-speed Opto-electronic Probabilistic Computer
Proceedings Sixteenth Conference on Theoretical Aspects of Rationality and Knowledge, TARK 2017, Liverpool, UK, 24-26 July 2017
Dedicated Lane for Connected and Automated Vehicle: How Much Does A Homogeneous Traffic Flow Contribute?
Training on Plausible Counterfactuals Removes Spurious Correlations
End-to-End Defect Detection in Automated Fiber Placement Based on Artificially Generated Data
Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model
SiamixFormer: A Siamese Transformer Network For Building Detection And Change Detection From Bi-Temporal Remote Sensing Images
SRAM-based Physically Unclonable Function using Lightweight Hamming-Code Fuzzy Extractor for Energy Harvesting Beat Sensors
Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
GRACE: Generative Representation Learning via Contrastive Policy Optimization
On Lexical Invariance on Multisets and Graphs