yusuke1997/dblp-id-title huggingface dataset:
Strength-Adaptive Adversarial Training
ViSTooth: A Visualization Framework for Tooth Segmentation on Panoramic Radiograph
HSCP: A Two-Stage Spectral Clustering Framework for Resource-Constrained UAV Identification
Difficulty-Aware Score Generation for Piano Sight-Reading
Numerical schemes for coupled systems of nonconservative hyperbolic equations
An Exhaustive Study of Two-Node McCulloch-Pitts Networks
RoFIR: Robust Fisheye Image Rectification Framework Impervious to Optical Center Deviation
Cramer-Castillon on a Triangle's Incircle and Excircles
3rd Place Solution to "Google Landmark Retrieval 2020"
GRADE: Graph Dynamic Embedding
nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection
An inventory model for group-buying auction
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages
Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates
Schema matching using Gaussian mixture models with Wasserstein distance
Sustainability: Delivering Agility's Promise
Directed branching bisimulation via apartness and positive logic
Routing One Million Customers in a Handful of Minutes
Interpretable Differential Diagnosis with Dual-Inference Large Language Models
Loop-Back Interference Suppression for OFDM Signals via Sampled-Data Control
Beamforming for Magnetic Induction based Wireless Power Transfer Systems with Multiple Receivers
MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning
Fast Iterative Solver for the Optimal Control of Time-Dependent PDEs with Crank-Nicolson Discretization in Time
Combinatorics of branchings in higher dimensional automata
Fast Video Object Segmentation using the Global Context Module
Exploring the features used for summary evaluation by Human and GPT
Computational Feasibility of Clustering under Clusterability Assumptions
Self-calibration-based Approach to Critical Motion Sequences of Rolling-shutter Structure from Motion
SNN: Stacked Neural Networks
Energy-based generator matching: A neural sampler for general state space
An Error Analysis Framework for Neural Network Modeling of Dynamical Systems
Rapid Mixing of the Switch Markov Chain for Strongly Stable Degree Sequences
SNAP: A General Purpose Network Analysis and Graph Mining Library
Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time
Artificial Benchmark for Community Detection with Outliers (ABCD+o)
Comparison of Innovative Strategies for the Coverage Problem: Path Planning, Search Optimization, and Applications in Underwater Robotics
EXP-Bench: Can AI Conduct AI Research Experiments?
Online Fault Classification in HPC Systems through Machine Learning
Anticipatory Understanding of Resilient Agriculture to Climate
ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment
LSketch: A Label-Enabled Graph Stream Sketch Toward Time-Sensitive Queries
Robust optimal design of large-scale Bayesian nonlinear inverse problems
Learning Disentangled Representations for Time Series
Prediction of Chronic Kidney Disease Using Deep Neural Network
Energy-preserving iteration schemes for Gauss collocation integrators
Using the Parallel Virtual Machine for Everyday Analysis
Stochastic subgradient method converges at the rate O(k -1/4 ) on weakly convex functions
Capacity Achieving Random Sparse Linear Codes
Eigenvalues approximation of integral covariance operators with applications to weighted L 2 statistics
Detecting integrity attacks in IoT-based Cyber Physical Systems: a case study on Hydra testbed
Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling
Blockchain for the Metaverse: A Review
Combinets: Learning New Classifiers via Recombination
Dominion: A New Frontier for AI Research
Punctuation Restoration
A random walk through experimental mathematics
Network Traffic Management
Evolution of holonic control architectures towards Industry 4.0: A short overview
Efficiency and Effectiveness of SPLADE Models on Billion-Scale Web Document Title
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Network
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
Murmur2Vec: A Hashing Based Solution For Embedding Generation Of COVID-19 Spike Sequences
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development
ASRPU: A Programmable Accelerator for Low-Power Automatic Speech Recognition
Technical knowledge and soft skills in software startups within the Colombian entrepreneurial ecosystem
Delta Sum Learning: an approach for fast and global convergence in Gossip Learning
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery
Decentralized Distributed Expert Assisted Learning (D2EAL) approach for cooperative target-tracking
Inverse Problems, Regularization and Applications
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
Multi-dimensional frequency dynamic convolution with confident mean teacher for sound event detection
Learning Bregman Divergences
A Survey on Diffusion Models for Inverse Problems
On the Degrees of Freedom of Signals on Graphs
Functional Equivalence with NARS
Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks
LSTM-based QoE Evaluation for Web Microservices' Reputation Scoring
Acerca del Algoritmo de Dijkstra
Peer relations with mobile phone data: Best friends and family formation
A Structural Linear-Time Algorithm for Computing the Tutte Decomposition
Object-Aware Guidance for Autonomous Scene Reconstruction
Cost-aware Bayesian Optimization
Stabilized cut discontinuous Galerkin methods for advection-reaction problems on surfaces
Efficient Network Measurements through Approximated Windows
Semantics and Algorithms for Parametric Monitoring
Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers
Exponential time integration for 3D compressible atmospheric models
HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images
Optimizing Grasping Precision for Industrial Pick-and-Place Tasks Through a Novel Visual Servoing Approach
Transmit Beamforming for Interference Exploitation in the Underlay Cognitive Radio Z-channel
A New Theoretic Foundation for Cross-Layer Optimization
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants
Modular grad-div stabilization for multiphysics flow problems
Test-time Computing: from System-1 Thinking to System-2 Thinking
A Kubernetes-Based Edge Architecture for Controlling the Trajectory of a Resource-Constrained Aerial Robot by Enabling Model Predictive Control
Information-Theoretic Privacy in Distributed Average Consensus
Trustworthy Contrast-enhanced Brain MRI Synthesis
Well-balanced treatment of gravity in astrophysical fluid dynamics simulations at low Mach numbers
Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
Alternating Direction Method of Multipliers for Negative Binomial Model with The Weighted Difference of Anisotropic and Isotropic Total Variation
Discovering Causal Relations and Equations from Data
Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach
Proceedings of the First Conference on Uncertainty in Artificial Intelligence (1985)
Digital Twin-Enabled Real-Time Control in Robotic Additive Manufacturing via Soft Actor-Critic Reinforcement Learning
Automatic Registration and Convex Clustering of Time Series
A Locally Divergence-Free Local Characteristic Decomposition Based Path-Conservative Central-Upwind Scheme for Ideal Magnetohydrodynamics
Optical Fiber Channel Modeling Using Conditional Generative Adversarial Network
Oblivious Storage with Low I/O Overhead
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Visual Person Understanding through Multi-Task and Multi-Dataset Learning
Real-Time Threaded Houbara Detection and Segmentation for Wildlife Conservation using Mobile Platforms
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning
A mathematical model that integrates cardiac electrophysiology, mechanics and fluid dynamics: application to the human left heart
Long-frame-shift Neural Speech Phase Prediction with Spectral Continuity Enhancement and Interpolation Error Compensation
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
Active Slice Discovery in Large Language Models
Learning to Detect Fake Face Images in the Wild
An SMDP-Based Approach to Thermal-Aware Task Scheduling in NoC-based MPSoC platforms
Distributionally Robust Acceleration Control Barrier Filter for Efficient UAV Obstacle Avoidance
Formal-language-theoretic Optimal Path Planning For Accommodation of Amortized Uncertainties and Dynamic Effects
Documentation-as-code for Interface Control Document Management in Systems of Systems: a Technical Action Research Study
CCOMPASSION: A Hybrid Cloudlet Placement Framework over Passive Optical Access Networks
Knowledge-aware Evolutionary Graph Neural Architecture Search
Convergence Framework of Deep Learning-based Hybrid Iterative Methods and the Application to Designing a Fourier Neural Solver for Parametric PDEs
Modified Patankar Linear Multistep methods for production-destruction systems
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment
Computational Complexity of Multi-Player Evolutionarily Stable Strategies
The Overview of the National Ignition Facility Distributed Computer Control System
A Model for Attribute Based Role-Role Assignment (ARRA)
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding
ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
Minimum Description Length Principle for Maximum Entropy Model Selection
Synthesis of Sequential Extended Regular Expressions for Verification
Gaussian Process Regression of Steering Vectors With Physics-Aware Deep Composite Kernels for Augmented Listening
AI-driven multi-source data fusion for algal bloom severity classification in small inland water bodies: Leveraging Sentinel-2, DEM, and NOAA climate data
Critical Clearing Time Sensitivity for Inequality Constrained Systems
Improved Relation Extraction with Feature-rich Compositional Embedding Models
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
Landscape analysis for shallow ReLU neural networks: complete classification of critical points for affine target functions
Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling
JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections
Generalized Ellipsoids
Sparse recovery of elliptic solvers from matrix-vector products
A Diamond Machine For Strong Evaluation
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
Neural Preconditioning Operator for Efficient PDE Solves
Information-theoretical label embeddings for large-scale image classification
Recipe: Hardware-Accelerated Replication Protocols
Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation
Basis Scaling and Double Pruning for Efficient Transfer Learning
Approximation of the truncated Zeta distribution and Zipf's law
A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data
Demographic Disparities in 1-to-Many Facial Identification
Kernel Stein Generative Modeling
Stability of Reeb graphs under function perturbations: the case of closed curves
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot
Content Accuracy and Quality Aware Resource Allocation Based on LP-Guided DRL for ISAC-Driven AIGC Networks
VCBench: A Controllable Benchmark for Symbolic and Abstract Challenges in Video Cognition
Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks
Unsupervised Identification and Replay-based Detection (UIRD) for New Category Anomaly Detection in ECG Signal
Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review
Breadth-First Rank/Select in Succinct Trees and Distance Oracles for Interval Graphs
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Sparse Distributed Memory using Spiking Neural Networks on Nengo
Decoders Laugh as Loud as Encoders
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators
Inductive randomness predictors
Energy-Efficient Optimization for HARQ Schemes over Time-Correlated Fading Channels
Belief propagation for optimal edge-cover in the random complete graph
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera
Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer
Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations
Outlier Robust Online Learning
Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models
Capacity and Delay Tradeoff of Secondary Cellular Networks with Spectrum Aggregation
ML Updates for OpenStreetMap: Analysis of Research Gaps and Future Directions
fNIRS Analysis of Interaction Techniques in Touchscreen-Based Educational Gaming
Sequence Covering Similarity for Symbolic Sequence Comparison
Ships, Splashes, and Waves on a Vast Ocean
The Role of Higher-Order Cognitive Models in Active Learning
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
SpatialMosaic: A Multiview VLM Dataset for Partial Visibility
Multi-class Support Vector Machine with Maximizing Minimum Margin
2024 NSF CSSI-Cybertraining-SCIPE PI Meeting August 12 to 13, 2024, Charlotte, NC
A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes
On Dialectica and Differentiation, via Categories
Morphisms and minimization of weighted automata
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
A Novel Approach for Video Temporal Annotation
An Upwind General Finite Difference Method (GFDM) for Analysis of Heat and Mass Transfer in Porous Media
Improving GenIR Systems Based on User Feedback
Seeing the World through an Antenna's Eye: Reception Quality Visualization Using Incomplete Technical Signal Information
An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study
Deep Poisson Factorization Machines: factor analysis for mapping behaviors in journalist ecosystem
Identifying and tracking bubbles and drops in simulations: a toolbox for obtaining sizes, lineages, and breakup and coalescence statistics
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training
On the Common Randomness Capacity of a Special Class of Two-way Channels
Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay
Learning to shortcut and shortlist order fulfillment deciding
EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis
Major Transitions in Political Order
Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Sensors
Learning Physical Interaction Skills from Human Demonstrations
Maize Haploid Identification via LSTM-CNN and Hyperspectral Imaging Technology
Transformer for Object Re-Identification: A Survey
Relating System Safety and Machine Learnt Model Performance
Dataset Bias in Human Activity Recognition
Grid-Based Projection of Spatial Data into Knowledge Graphs
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model
Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
Robustness of end-to-end Automatic Speech Recognition Models - A Case Study using Mozilla DeepSpeech
Decentralised Identity Federations using Blockchain
On Pole Placement and Invariant Subspaces
Identifying Independence in Relational Models
Deep Learning-Based Control Optimization for Glass Bottle Forming
Simulating Liquids with Graph Networks
More data or more parameters? Investigating the effect of data structure on generalization
Weakest Bidder Types and New Core-Selecting Combinatorial Auctions
Protocols for Kak's Cubic Cipher and Diffie-Hellman Based Asymmetric Oblivious Key Exchange
Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents
Title detection: a novel approach to automatically finding retractions and other editorial notices in the scholarly literature
Comprehensive Review of Analytical and Numerical Approaches in Earth-to-Air Heat Exchangers and Exergoeconomic Evaluations
Delegation with Trust: A Scalable, Type- and Memory-Safe Alternative to Locks
Identifying Vulnerable Third-Party Libraries from Textual Descriptions of Vulnerabilities and Libraries
FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies
Training-free Editioning of Text-to-Image Models
Aspects of Artificial Intelligence: Transforming Machine Learning Systems Naturally
DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control
OmniDetector: With Neural Networks to Bounding Boxes
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring
Asymptotic Error Performance Analysis of Spatial Modulation under Generalized Fading
Random gradient extrapolation for distributed and stochastic optimization
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction
Bias in Machine Learning What is it Good (and Bad) for?
Efficient Selective Audio Masked Multimodal Bottleneck Transformer for Audio-Video Classification
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI
Predicting Movie Production Years through Facial Recognition of Actors with Machine Learning
Zero-Shot Object Searching Using Large-scale Object Relationship Prior
M-BEHZAD: Minimum distance Based Energy efficiency using Hemisphere Zoning with Advanced Divide-and-Rule Scheme for Wireless Sensor Networks
Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning
Abnormal Functional Brain Network Connectivity Associated with Alzheimer's Disease
On (Secure) Information flow for Multiple-Unicast Sessions: Analysis with Butterfly Network
AdaDoS: Adaptive DoS Attack via Deep Adversarial Reinforcement Learning in SDN
Beating Grover search for low-energy estimation and state preparation
PAFNet: An Efficient Anchor-Free Object Detector Guidance
Towards reliable respiratory disease diagnosis based on cough sounds and vision transformers
Stochastic Unrolled Federated Learning
Post-quantum security of encrypted key exchange protocol
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
Sliding Touch-based Exploration for Modeling Unknown Object Shape with Multi-fingered Hands
Quantifying VIO Uncertainty
Structured Light with Redundancy Codes
GITSR: Graph Interaction Transformer-based Scene Representation for Multi Vehicle Collaborative Decision-making
Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Lung-Net: A deep learning framework for lung tissue segmentation in three-dimensional thoracic CT images
Partial-order Checking with Unfolding for Linear Temporal Properties
Circle separability queries in logarithmic time
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions
Complexity of Data Dependence problems for Program Schemas with Concurrency
On the Kullback-Leibler divergence between location-scale densities
An on-demand resource allocation algorithm for a quantum network hub and its performance analysis
A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction
A highly scalable Met Office NERC Cloud model
Tactile Comfort: Lowering Heart Rate Through Interactions
Sequence-based deep learning antibody design for in silico antibody affinity maturation
TEAM: We Need More Powerful Adversarial Examples for DNNs
Monadic Style Control Constructs for Inference Systems
Generalized Approximate Message Passing for Estimation with Random Linear Mixing
Weak Boundary Condition Enforcement for Linear Kirchhoff-Love Shells: Formulation, Error Analysis, and Verification
D numbers theory based game-theoretic framework in adversarial decision making under fuzzy environment
LLMs model how humans induce logically structured rules
Joint Probability Estimation Using Tensor Decomposition and Dictionaries
Large-scale Pre-training for Grounded Video Caption Generation
A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation
Leveraging Adversarial Detection to Enable Scalable and Low Overhead RowHammer Mitigations
Space-efficient, Fast and Exact Routing in Time-dependent Road Networks
Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries
Learning to reinforcement learn for Neural Architecture Search
Leveraging Ensemble-Based Semi-Supervised Learning for Illicit Account Detection in Ethereum DeFi Transactions
Knowledge Bridger: Towards Training-free Missing Multi-modality Completion
A Conditional Lower Bound on Graph Connectivity in MapReduce
Performance Analysis of Joint Pairing and Mode Selection in D2D Communications with FD Radios
CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation
Interpolation synthesis for quadratic polynomial inequalities and combination with \textit{EUF}
Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities
A Critical and Moving-Forward View on Quantum Image Processing
A Kernel-Based Neural Network Test for High-dimensional Sequencing Data Analysis
Invertibility of graph translation and support of Laplacian Fiedler vectors
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation
Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees
Regret Bounds for Learning Decentralized Linear Quadratic Regulator with Partially Nested Information Structure
Large Language Models as Counterfactual Generator: Strengths and Weaknesses