yusuke1997/dblp-id-title huggingface dataset:
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
SLA Violation Prediction In Cloud Computing: A Machine Learning Perspective
A tool to overcome technical barriers for bias assessment in human language technologies
Nested Learning For Multi-Granular Tasks
Exploration of Augmentation Strategies in Multi-modal Retrieval-Augmented Generation for the Biomedical Domain: A Case Study Evaluating Question Answering in Glycobiology
State Estimation For An Agonistic-Antagonistic Muscle System
Optimal FFT-accelerated Finite Element Solver for Homogenization
Sigil3D: A Crowdsourcing Platform for Interactive 3D Content
Distributed SIR-Aware Opportunistic Access Control for D2D Underlaid Cellular Networks
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?
AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents
Shape and Viewpoint without Keypoints
Graph Foundation Models for Recommendation: A Comprehensive Survey
5G D2D Transmission Mode Selection Performance & Cluster Limits Evaluation of Distributed Artificial Intelligence and Machine Learning Techniques
Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm
FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction
RSSOD-Bench: A large-scale benchmark dataset for Salient Object Detection in Optical Remote Sensing Imagery
Spores: Stateless Predictive Onion Routing for E-Squads
MEDIMP: Medical Images and Prompts for renal transplant representation learning
On Local Minimum Entropy Principle of High-Order Schemes for Relativistic Euler Equations
The Computation for Reversibility of Arbitrary One-dimensional Finite Cellular Automata Becomes Efficient
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
An information-theoretic learning model based on importance sampling
Building-PCC: Building Point Cloud Completion Benchmarks
Unmasking Stealthy Attacks on Nonlinear DAE Models of Power Grids
Attention Mechanisms for Object Recognition with Event-Based Cameras
A Generalized PSS Architecture for Balancing Transient and Small-Signal Response
iTrace : Interactive Tracing of Cross-View Data Relationships
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
Interdependencies between Mining Costs, Mining Rewards and Blockchain Security
Data guided Sparse Method for Hyperspectral Unmixing
Representing Beauty: Towards a Participatory but Objective Latent Aesthetics
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
A multilevel Monte Carlo algorithm for SDEs driven by countably dimensional Wiener process and Poisson random measure
Enhancement of land-use change modeling using convolutional neural networks and convolutional denoising autoencoders
The Impact of Sequential versus Parallel Clearing Mechanisms in Agent-Based Simulations of Artificial Limit Order Book Exchanges
Caching Improvement Using Adaptive User Clustering
Evaluating Personal Archiving Strategies for Internet-based Information
Tropical neural networks and its applications to classifying phylogenetic trees
Proceedings 3rd Workshop on GRAPH Inspection and Traversal Engineering, GRAPHITE 2014, Grenoble, France, 5th April 2014
CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization
Deep Relaxation: partial differential equations for optimizing deep neural networks
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
Governance as a complex, networked, democratic, satisfiability problem
WebSailor: Navigating Super-human Reasoning for Web Agent
Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification
Long-term Visual Localization using Semantically Segmented Images
GraphDCA - a Framework for Node Distribution Comparison in Real and Synthetic Graphs
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Efficient Strategy for Improving Large Language Model (LLM) Capabilities
Functional observability and target state estimation in large-scale networks
Enabling a Zero Trust Architecture in a 5G-enabled Smart Grid
Sparse universal graphs for planarity
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing
Structural Contracts - Contracts for Type Construction & Dependent Types to Ensure Consistency of Extra-Functional Reasoning
A Fast Polynomial-time Primal-Dual Projection Algorithm for Linear Programming
Learning from Observations Using a Single Video Demonstration and Human Feedback
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Exploring the Impact of Wind Penetration on Power System Equilibrium Using a Numerical Continuation Approach
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles
Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting
Computational Aided Design for Generating a Modular, Lightweight Car Concept
Patch-based Automatic Rosacea Detection Using the ResNet Deep Learning Framework
Room-temperature solid state quantum emitters in the telecom range
Random thoughts about Complexity, Data and Models
Automaton Semigroups and Groups: on the Undecidability of Problems Related to Freeness and Finiteness
Exploration of Indoor Environments Predicting the Layout of Partially Observed Rooms
Quadratic residue codes over the ring $\mathbb{F}_{p}[u]/\langle u^m-u\rangle$ and their Gray images
MDDM: A Molecular Dynamics Diffusion Model to Predict Particle Self-Assembly
Learning Switchable Priors for Neural Image Compression
Modality-missing RGBT Tracking via Invertible Prompt Learning and A High-quality Data Simulation Method
Too Helpful, Too Harmless, Too Honest or Just Right?
Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback
Multiprocessor Scheduling of a Multi-mode Dataflow Graph Considering Mode Transition Delay
Learning Output Embeddings in Structured Prediction
Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm
Constrained Fault-Tolerant Resource Allocation
A stochastic model for the influence of social distancing on loneliness
LLM, Reporting In! Medical Information Extraction Across Prompting, Fine-tuning and Post-correction
Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning
Investigation of Warrior Robots Behavior by Using Evolutionary Algorithms
Operator-difference schemes on non-uniform grids for second-order evolutionary equations
Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo Line Search
Reference-Based Post-OCR Processing with LLM for Diacritic Languages
LAB: A Leader-Advocate-Believer Based Optimization Algorithm
Generating REST API Tests With Descriptive Names
Hierarchy-Aware Fine-Tuning of Vision-Language Models
FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint
A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds
Machine Learning for Economics Research: When What and How?
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
Unsupervised preprocessing for Tactile Data
Shape-Space Graphs: Fast and Collision-Free Path Planning for Soft Robots
A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework
Grounding Language about Belief in a Bayesian Theory-of-Mind
Transforming graph states using single-qubit operations
SparseVoxFormer: Sparse Voxel-based Transformer for Multi-modal 3D Object Detection
DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets
A hierarchical invariant for line bundles and its applications in algebraic geometry codes
Zipf's law holds for phrases, not words
Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI
Dynamic Fusion for Multimodal Data
MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining
Output Regulation of Linear Systems with Non-periodic Non-smooth Exogenous Signals
Graph Neural Networks for Carbon Dioxide Adsorption Prediction in Aluminium-Exchanged Zeolites
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning
MalGrid: Visualization Of Binary Features In Large Malware Corpora
Distance-Based Bias in Model-Directed Optimization of Additively Decomposable Problems
Gradient-based Laplacian Feature Selection
ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition
Improving LLM-Generated Code Quality with GRPO
Surface Parametrization of Nonsimply Connected Planar Bézier Regions
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
A Cost-Effective Thermal Imaging Safety Sensor for Industry 5.0 and Collaborative Robotics
Evaluation of NoSQL in the Energy Marketplace with GraphQL Optimization
First-Passage Time Statistics on Surfaces of General Shape: Surface PDE Solvers using Generalized Moving Least Squares (GMLS)
Beamforming through regularized inverse problems in ultrasound medical imaging
Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning
You're (Not) My Type - Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
Out-of-distribution Detection in Medical Image Analysis: A survey
Soil Classification Using GATree
Subpath Queries on Compressed Graphs: a Survey
Induced Model Matching: How Restricted Models Can Help Larger Ones
The Structure and Evolution of an Offline Peer-to-Peer Financial Network
Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees
Footprint and minimum distance functions
Stability Evaluation via Distributional Perturbation Analysis
An efficient iteration method to reconstruct the drift term from the final measurement
Are Erdös- Rényi Random Graphs Topologically Random?
A Simulation Framework for Contention-Free Scheduling on WiGig
Deconstruction of compound objects from image sets
Semantically Enhanced Dynamic Bayesian Network for Detecting Sepsis Mortality Risk in ICU Patients with Infection
The Complexity of Change
Exploiting AWG Free Spectral Range Periodicity in Distributed Multicast Architectures
IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation
Critical pairs for the Product Singleton Bound
Multilevel Monte Carlo estimation of log marginal likelihood
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
Transmit Energy Focusing for DOA Estimation in MIMO Radar with Colocated Antennas
Experiments in Detecting Persuasion Techniques in the News
Performance Analysis of Dynamic Equilibria in Joint Path Selection and Congestion Control
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision
A network epidemic model with preventive rewiring: comparative analysis of the initial phase
An open dataset for oracle bone script recognition and decipherment
The social dilemma in AI development and why we have to solve it
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for EEG Super-resolution
Probabilistic Opacity in Refinement-Based Modeling
MWQ: Multiscale Wavelet Quantized Neural Networks
Empowering Refugee Claimants and their Lawyers: Using Machine Learning to Examine Decision-Making in Refugee Law
LLM Social Simulations Are a Promising Research Method
Use of Technology and Innovations in the COVID-19 Pandemic Response in Africa
Vidarc: Embodied Video Diffusion Model for Closed-loop Control
Self-Attention and Hybrid Features for Replay and Deep-Fake Audio Detection
The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
Seasonal Performance Evaluation of a Hybrid PV-Wind-Battery Power System for a Mars Base
Language-based Decisions
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction
Supervised machine learning for microbiomics: bridging the gap between current and best practices
Deterministic (2/3-ϵ)-Approximation of Matroid Intersection using Nearly-Linear Independence-Oracle Queries
Field-based Security Testing of SDN configuration Updates
Beyond Inference Intervention: Identity-Decoupled Diffusion for Face Anonymization
How to Answer Why - Evaluating the Explanations of AI Through Mental Model Analysis
MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms
Sensitivity Analysis of the Orthoglide, a 3-DOF Translational Parallel Kinematic Machine
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
Deep Imitation Learning for Automated Drop-In Gamma Probe Manipulation
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting
Disproving the Feasibility of Learned Confidence Calibration Under Binary Supervision: An Information-Theoretic Impossibility
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks
Using Deep Autoregressive Models as Causal Inference Engines
Automated Gadget Discovery in Science
Rational subsets of Baumslag-Solitar groups
Augmented Test Collections: A Step in the Right Direction
Quantifying variabilities in cardiac digital twin models of the electrocardiogram
SODBench: A Large Language Model Approach to Documenting Spreadsheet Operations
Hate Speech detection in the Bengali language: A dataset and its baseline evaluation
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations
An infinite family of linear codes supporting 4-designs
Generative Model-based Simulation of Driver Behavior when Using Control Input Interface for Teleoperated Driving in Unstructured Canyon Terrains
Modeling Based on Elman Wavelet Neural Network for Class-D Power Amplifiers
Domain Generalization for Semantic Segmentation: A Survey
Finding Density Functionals with Machine Learning
MathZero, The Classification Problem, and Set-Theoretic Type Theory
On cascade products of answer set programs
Class-Aware Attention for Multimodal Trajectory Prediction
From Crime to Hypercrime: Evolving Threats and Law Enforcement's New Mandate in the AI Age
A Desktop-Centric Design Space for Direct Object Examination and Visualization in Mixed-Reality Environments
Lifting Cocycles: From Heuristic to Theory
Modelleme ve Simulasyon
New Choice for Small Universal Devices: Symport/Antiport P Systems
Corruption Risk in Contracting Markets: A Network Science Perspective
On the Posted Pricing in Crowdsourcing: Power of Bonus
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
Predicting hot electrons free energies from ground-state data
L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set
Adaptive Multi-Agent Reasoning via Automated Workflow Generation
A unifying Perron-Frobenius theorem for nonnegative tensors via multi-homogeneous maps
Photonic Elementary Cellular Automata for Simulation of Complex Phenomena
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Big Data Analytics and AI in Mental Healthcare
Bingham Fluid Flow through Oscillatory Porous Plate with Ion-Slip and Hall Current
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Deep Variational Lesion-Deficit Mapping
Characterization of noise regimes in Mid-IR free-space optical communication based on quantum cascade lasers
Rigidity in Mechanism Design and its Applications
DISCO Nets: DISsimilarity COefficient Networks
The AlphaPhysics Term Rewriting System for Marking Algebraic Expressions in Physics Exams
Time series anomaly detection with reconstruction-based state-space models
CaloHadronic: a diffusion model for the generation of hadronic showers
Incipient Slip Detection by Vibration Injection into Soft Sensor
A Survey on World Models Grounded in Acoustic Physical Information
InstantEmbedding: Efficient Local Node Representations
Consistency of Learned Sparse Grid Quadrature Rules using NeuralODEs
Privacy by Design for Self-Sovereign Identity Systems: An in-depth Component Analysis completed by a Design Assistance Dashboard
The conditioning of least squares problems in preconditioned variational data assimilation
The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection
A Multi-Path Certification Protocol for Mobile Ad Hoc Networks
GPT-4's assessment of its performance in a USMLE-based case study
The State of Large Language Models for African Languages: Progress and Challenges
ORCEA: Object Recognition by Continuous Evidence Assimilation
GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction
Deep Learning Anti-patterns from Code Metrics History
Surrogate Modelling of Proton Dose with Monte Carlo Dropout Uncertainty Quantification
SwinGS: Sliding Window Gaussian Splatting for Volumetric Video Streaming with Arbitrary Length
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Acoustic neural networks: Identifying design principles and exploring physical feasibility
Readout-Side Bypass for Residual Hybrid Quantum-Classical Models
Importing Relationships into a Running Graph Database Using Parallel Processing
MEC: An Open-source Fine-grained Mapping Equivalence Checking Tool for FPGA
Language recognition power and succintness of affine automata
How much of quantum mechanics is really needed to defy Extended Church-Turing Thesis?
FusionAccel: A General Re-configurable Deep Learning Inference Accelerator on FPGA for Convolutional Neural Networks
Deeper Interpretability of Deep Networks
A Survey on Business Process View Integration
A Gold Standard Dataset and Evaluation Framework for Depression Detection and Explanation in Social Media using LLMs
DeepSymmetry: Joint Symmetry and Depth Estimation using Deep Neural Networks
GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
Weighted Optimization: better generalization by smoother interpolation
Archimedean Choice Functions: an Axiomatic Foundation for Imprecise Decision Making
On Perception of Prevalence of Cheating and Usage of Generative AI
A veracity preserving model for synthesizing scalable electricity load profiles
Investigating Similarities Across Decentralized Financial (DeFi) Services
3D Detection and Characterisation of ALMA Sources through Deep Learning
Range Longest Increasing Subsequence and its Relatives: Beating Quadratic Barrier and Approaching Optimality
MCMC Sampling of Directed Flag Complexes with Fixed Undirected Graphs
Formalizing cCSP Synchronous Semantics in PVS
An Empirical Study on Fairness Improvement with Multiple Protected Attributes
Optimal Two Player LQR State Feedback With Varying Delay
A Novel Taxonomy and Classification Scheme for Code Smell Interactions
An Ergodic Theorem for PSPACE functions
A Large-scale Dataset for Robust Complex Anime Scene Text Detection
Sequential Multi-task Learning with Task Dependency for Appeal Judgment Prediction
A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing
A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem
BMP: Bridging the Gap between B-Spline and Movement Primitives
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement
NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models
Delay-adaptive step-sizes for asynchronous learning
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training
TrustGeoGen: Scalable and Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem Solving
Modeling contaminant intrusion in water distribution networks based on D numbers
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design
Deterministic polynomial factorisation modulo many primes
Surg-3M: A Dataset and Foundation Model for Perception in Surgical Settings
Cutting cycles of rods in space is FPT
Local assortativity affects the synchronizability of scale-free network
Efficient image retrieval using multi neural hash codes and bloom filters
An inverse-free fixed-time stable dynamical system and its forward-Euler discretization for solving generalized absolute value equations
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents
Software Updates Strategies: a Quantitative Evaluation against Advanced Persistent Threats
Belief Rule Based Expert System to Identify the Crime Zones
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
$O(\log \log n)$ Worst-Case Local Decoding and Update Efficiency for Data Compression
Marginality: a numerical mapping for enhanced treatment of nominal and hierarchical attributes
Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
Safe Control and Learning Using Generalized Action Governor
Revisiting Relative Indicators and Provisional Truths
A DNN Framework For Text Image Rectification From Planar Transformations
Trends in scientific research in Online Information Review. Part 2. Mapping the scientific knowledge through bibliometric and social network analyses
Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applications
Heterogeneous Group-Based Reinforcement Learning for LLM-based Multi-Agent Systems
On optimal zero-padding of kernel truncation method
Partially Observable Online Change Detection via Smooth-Sparse Decomposition
Symmetry-Aware Fully-Amortized Optimization with Scale Equivariant Graph Metanetworks
Information Processing Structure of Quantum Gravity
Self-supervised adversarial masking for 3D point cloud representation learning
Soft Graph Clustering for single-cell RNA Sequencing Data
SH17: A Dataset for Human Safety and Personal Protective Equipment Detection in Manufacturing Industry
Robust Differential Evolution via Nonlinear Population Size Reduction and Adaptive Restart: The ARRDE Algorithm
Bi-criteria Algorithm for Scheduling Jobs on Cluster Platforms
Temporal-Visual Semantic Alignment: A Unified Architecture for Transferring Spatial Priors from Vision Models to Zero-Shot Temporal Tasks
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
Inexact Proximal-Point Penalty Methods for Non-Convex Optimization with Non-Convex Constraints
A Coordinated Routing Approach for Enhancing Bus Timeliness and Travel Efficiency in Mixed-Traffic Environment
Information maximization for a broad variety of multi-armed bandit games
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences
Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization
Minimal trellis construction from convolutional ring encoders
Transfer learning via Regularized Linear Discriminant Analysis