yusuke1997/dblp-id-title huggingface dataset:
Defining the boundaries: challenges and advances in identifying cells in microscopy images
Disentangled Representation Learning via Modular Compositional Bias
Design of Pulse Shapes and Digital Filters Based on Gaussian Functions
Fuzzy Logic of Speed and Steering Control System for Three Dimensional Line Following of an Autonomous Vehicle
Egocentric Robots in a Human-Centric World? Exploring Group-Robot-Interaction in Public Spaces
F-IDEs with Features and VCs Designed to Assist Human Reasoning When Verification Fails
GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface
Impact Learning: A Learning Method from Features Impact and Competition
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
Communication-Efficient Projection-Free Algorithm for Distributed Optimization
CAPIO: Safe Kernel-Bypass of Commodity Devices using Capabilities
TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training
Image Style Transfer and Content-Style Disentanglement
Large-N dynamics of the spiked tensor model with random initial conditions
Age-of-Information vs. Value-of-Information Scheduling for Cellular Networked Control Systems
Error Correction for FrodoKEM Using the Gosset Lattice
Freeze-Tag is NP-hard in 2D with L 1 distance
When facts fail: Bias, polarisation and truth in social networks
Enhanced active power filter control for nonlinear non-stationary reactive power compensation
CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
Leveraging characteristics of the output probability distribution for identifying adversarial audio examples
A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss
Generalised elastic nets
BGK models for inert mixtures: comparison and applications
Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays
The general graph homomorphism polynomial: Its relationship with other graph polynomials and partition functions
A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models
On the computational complexity of evolution
CryptoMask : Privacy-preserving Face Recognition
Future Aware Pricing and Matching for Sustainable On-demand Ride Pooling
Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
Ergonomics Integrated Design Methodology using Parameter Optimization, Computer-Aided Design, and Digital Human Modelling: A Case Study of a Cleaning Equipment
Performance Enhancement of C-V2X Mode 4 Utilizing Multiple Candidate Single-subframe Resources
Realistic Hair Simulation Using Image Blending
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials
A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
Achieving Semantic Consistency Using BERT: Application of Pre-training Semantic Representations Model in Social Sciences Research
Comparative analysis of segmentation and generative models for fingerprint retrieval task
A Reduced Offset Based Method for Fast Computation of the Prime Implicants Covering a Given Cube
Model-Adaptive Interface Generation for Data-Driven Discovery
Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation
Soft-Decoding Reverse Reconciliation in Discrete-Modulation CV-QKD
Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum
AI Assisted Apparel Design
Low Latency Instance Segmentation by Continuous Clustering for Rotating LiDAR Sensors
Thinking Like a Vertex: a Survey of Vertex-Centric Frameworks for Distributed Graph Processing
Dynamic behaviour of a ring coupled boost converter system with passivity-based control
A Multilevel Spectral Indicator Method for Eigenvalues of Large Non-Hermitian Matrices
Prefrontal Cortex Motivated Cognitive Architecture for Multiple Robots
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
Improved Approximate Rips Filtrations with Shifted Integer Lattices and Cubical Complexes
'Debunk-It-Yourself': Health Professionals' Strategies for Responding to Misinformation on TikTok
Sequential Changepoint Detection in Neural Networks with Checkpoints
Squeeze aggregated excitation network
Non-binary artificial neuron with phase variation implemented on a quantum computer
Stochastic Optimization of Service Provision with Selfish Users
Knowledge Distillation for Mobile Edge Computation Offloading
Efficient vectorized evaluation of Gaussian AO integrals on modern central processing units
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits
Federated Continual Novel Class Learning
LLM-Based Multi-Task Bangla Hate Speech Detection: Type, Severity, and Target
Decentralized Federated Learning: Fundamentals, State-of-the-art, Frameworks, Trends, and Challenges
Dunhuang Grottoes Painting Dataset and Benchmark
Causes and Corrections for Bimodal Multipath Scanning with Structured Light
Semantic Preprocessing for LLM-based Malware Analysis
A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections
Three-dimensional hand guidance by midair haptic display
A Hybrid CNN-LSTM Deep Learning Model for Intrusion Detection in Smart Grid
Improving Sampling from Generative Autoencoders with Markov Chains
A Visual Analytics Approach to Compare Propagation Models in Social Networks
AC: An Integrated Source Code Plagiarism Detection Environment
Model reduction for a power grid model
Victory Sign Biometric for Terrorists Identification
Causal Deep Q Network
On the Packet Allocation of Multi-Band Aggregation Wireless Networks
DRR-MDPF: A Queue Management Strategy Based on Dynamic Resource Allocation and Markov Decision Process in Named Data Networking (NDN)
Rio: A System Solution for Sharing I/O between Mobile Systems
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling
Topology-aware Debiased Self-supervised Graph Learning for Recommendation
HW/SW Framework for Improving the Safety of Implantable and Wearable Medical Devices
Student Mastery or AI Deception? Analyzing ChatGPT's Assessment Proficiency and Evaluating Detection Strategies
Students' Perceptions and Attitude towards the effectiveness of Prezi Uses in learning Islamic Subject
Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Componentwise perturbation analysis for the generalized Schurdecomposition
Profile Predictive Inference
Data-Driven Bed Occupancy Planning in Intensive Care Units Using M t /G t /∞ Queueing Models
The Democratization of Wealth Management: Hedged Mutual Fund Blockchain Protocol
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
Dynamic Virtual Graph Significance Networks for Predicting Influenza
LITS: An Optimized Learned Index for Strings (An Extended Version)
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events
Credit Card Fraud Detection in the Nigerian Financial Sector: A Comparison of Unsupervised TensorFlow-Based Anomaly Detection Techniques, Autoencoders and PCA Algorithm
Vehicular Communications for 5G Cooperative Small Cell Networks
CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding
Inverse Procedural Modeling of Facade Layouts
A Capabilities Approach to Studying Bias and Harm in Language Technologies
Vehicle Price Prediction By Aggregating decision tree model With Boosting Model
Minimum Sensor Placement for Robust Observability of Structured Complex Networks
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities
Making Concurrent Algorithms Detectable
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
Secure and Private Implementation of Dynamic Controllers Using Semi-Homomorphic Encryption
MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images for Histopathological Analysis
Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control
Spooky Action at a Distance: Normalization Layers Enable Side-Channel Spatial Communication
Models and Mechanisms for Fairness in Location Data Processing
Securing Blockchain-based IoT Systems with Physical Unclonable Functions and Zero-Knowledge Proofs
Comparison Study Between Token Classification and Sequence Classification In Text Classification
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input
SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs
AraToken: Optimizing Arabic Tokenization with Normalization Pipeline and Language Extension for Qwen3
An adaptive recursive sliding mode attitude control for tiltrotor UAV in flight mode transition based on super-twisting extended state observer
Online Robust and Adaptive Learning from Data Streams
RadarLLM: Adapting Pretrained Large Language Models for Marine Radar Target Detection with Preference-aware Loss
Expandable Residual Approximation for Knowledge Distillation
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally From An Ongoing Trajectory
Decay of correlation for edge colorings when q>3Δ
GeNet: A Multimodal LLM-Based Co-Pilot for Network Topology and Configuration
S+t-SNE - Bringing dimensionality reduction to data streams
Invariant Bridges Between Four Successive Points: A New Tool for Data Coding
DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization
Autoregressive Moving-average Attention Mechanism for Time Series Forecasting
Switching Device-Cognizant Sequential Distribution System Restoration
2-covers of wide Young diagrams
Nonrepetitive sequences on arithmetic progressions
On the Burning Number of p-Caterpillars
A Unified Remote Sensing Anomaly Detector Across Modalities and Scenes via Deviation Relationship Learning
Implementing engrams from a machine learning perspective: XOR as a basic motif
Code Clone Matching: A Practical and Effective Approach to Find Code Snippets
High Performance Solutions for Big-data GWAS
The Adaptive Mean-Linkage Algorithm: A Bottom-Up Hierarchical Cluster Technique
Image-to-image Neural Network for Addition and Subtraction of a Pair of Not Very Large Numbers
Multiple Description Coding of Discrete Ergodic Sources
Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States
Categories for Dynamic Epistemic Logic
Michael John Caldwell Gordon (FRS 1994), 28 February 1948 - 22 August 2017
Deterministic Constructions for Large Girth Protograph LDPC Codes
Deep Learning for Highly Accelerated Diffusion Tensor Imaging
Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs
SFGANS Self-supervised Future Generator for human ActioN Segmentation
Data Criticality in Multi-Threaded Applications: An Insight for Many-Core Systems
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
LISTN: Lexicon induction with socio-temporal nuance
ViaPPS: A Mobile Pavement Profiling System
Design, Application and Evaluation of a Multi Agent System in the Logistics Domain
Order Theory in the Context of Machine Learning: an application
A Scalable Hybrid MAC Protocol for Massive M2M Networks
On the Separating Words Problem
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
Learned Variable-Rate Image Compression with Residual Divisive Normalization
Corrigendum to: A Systematic Study of DDR4 DRAM Faults in the Field
An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models
Calibrating the Lee-Carter and the Poisson Lee-Carter models via Neural Networks
Improved Approximation Algorithms for Minimizing the Total Weighted Completion Time of Coflows
Linearly Decoding Refused Knowledge in Aligned Language Models
De Re Updates
Sim2Real Transfer for Vision-Based Grasp Verification
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting
Skolemization In Intermediate Logics
Adaptive Downlink CoMP in Heterogeneous Cellular Networks with Imperfect Overhead Messaging
Compressed and quantized correlation estimators
Numerical method for the inverse scattering by random periodic structures
Formation Control of Nonlinear Multi-Agent Systems Using Three-Layer Neural Networks
Intelligent Detection System framework using Mobile agents
Full-Duplex Relay based on Zero-Forcing Beamforming
One-Pass Incomplete Multi-view Clustering
Recent Advances in Selective Image Encryption and its Indispensability due to COVID-19
Analyzing and Improving OT-based Adversarial Networks
PARAMANU-AYN: An Efficient Novel Generative and Instruction-tuned Language Model for Indian Legal Case Documents
Rotational Symmetry and the Transformation of Innovation Systems in a Triple Helix of University-Industry-Government Relations
Acceleration of Mean Square Distance Calculations with Floating Close Structure in Metadynamics Simulations
Higher-order meshing of implicit geometries - part I: Integration and interpolation in cut elements
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
Four Versions of the Proportional Conflict Redistribution Rules of Combination in Information Fusion
A Fuzzy Model for Analogical Problem Solving
A Vehicles Control Model to Alleviate Traffic Instability
Adversarial Motorial Prototype Framework for Open Set Recognition
Hi-DREAM: Brain Inspired Hierarchical Diffusion for fMRI Reconstruction via ROI Encoder and visuAl Mapping
Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small
Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture
The Footprint of Campaign Strategies in Farsi Twitter: A case for 2021 Iranian presidential election
Splitting method for spatio-temporal search efforts planning
Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Variational Formulation of the Particle Flow Particle Filter
Mapping of Sparse 3D Data using Alternating Projection
Live Equals Fast in Iterated Models
ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations
Artificial intelligence inspired freeform optics design: a review
SentRNA: Improving computational RNA design by incorporating a prior of human design strategies
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification
Sub-cortical structure segmentation database for young population
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
Likely to stop? Predicting Stopout in Massive Open Online Courses
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Local Gaussian Regression
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition
Technical Note for "A Geodesic Approach for the Control of Tethered Quadrotors"
XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration
Deterministic Weighted Expander Decomposition in Almost-linear Time
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-learning
Neural Networks Base on Power Method and Inverse Power Method for Solving Linear Eigenvalue Problems
Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation
Graph Theory Applications in Advanced Geospatial Research
Complexity of sparse polynomial solving 3: Infinity
Analysis of Hierarchical AoII over unreliable channel: A Stochastic Hybrid System Approach
Hybridization of Evolutionary Algorithms
Hereditary First-Order Model Checking
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
Two-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging
Compositional Image Synthesis with Inference-Time Scaling
Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging Tasks
RECODE: Reasoning Through Code Generation for Visual Question Answering
Learning Discriminative Motion Features Through Detection
Growing Random Geometric Graph Models of Super-linear Scaling Law
FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving Federated Learning
Fingerprinting Software-defined Networks
On Privacy-preserving Decentralized Optimization through Alternating Direction Method of Multipliers
Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin Tones
A complete t -intersection theorem for families of spanning trees
On weight initialization in deep neural networks
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences
Combining Neural Fields and Deformation Models for Non-Rigid 3D Motion Reconstruction from Partial Data
Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application
The Extractive-Abstractive Axis: Measuring Content "Borrowing" in Generative Language Models
Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study
A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation
i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems
Joint User Selection, Power Allocation, and Precoding Design with Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems
Whither Fair Clustering?
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
Structure-preserving Discretization of the Hessian Complex based on Spline Spaces
Open Problems in Engineering Machine Learning Systems and the Quality Model
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing
Improving Image Quality of Sparse-view Lung Cancer CT Images with a Convolutional Neural Network
The Name-Passing Calculus
Moderating Role of Presence in EEG Responses to Visuo-haptic Prediction Error in Virtual Reality
Do Neutral Prompts Produce Insecure Code? FormAI-v2 Dataset: Labelling Vulnerabilities in Code Generated by Large Language Models
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
On Variants of Facility Location Problem with Outliers
DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
Experimental Impact Analysis of Cyberattacks in Power Systems using Digital Real-Time Testbeds
Uncovering commercial activity in informal cities
Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study
Evolving Optical Networks for Latency-Sensitive Smart-Grid Communications via Optical Time Slice Switching (OTSS) Technologies
Learning A Spiking Neural Network for Efficient Image Deraining
Low-resource Information Extraction with the European Clinical Case Corpus
Quantum simulation of the Fokker-Planck equation via Schrodingerization
Learning to Label Affordances from Simulated and Real Data
Advancing Cucumber Disease Detection in Agriculture through Machine Vision and Drone Technology
Analytical results for uncertainty propagation through trained machine learning regression models
Practical and Legal Challenges of Cloud Investigations
Compressive sampling for energy spectrum estimation of turbulent flows
Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses
Cluster-Aware Two-Stage Method for Fast Iterative MIMO Detection in LEO Satellite Communications
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
A Dynamical Variable-separation Method for Parameter-dependent Dynamical Systems
Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity
Speaking-Rate-Controllable HiFi-GAN Using Feature Interpolation
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach
Boosted Sparse Non-linear Distance Metric Learning
Asymptotic optimality of dynamic first-fit packing on the half-axis
City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions
Inductive biases in deep learning models for weather prediction
Statistical Learning with Conditional Value at Risk
Algorithm for Training Neural Networks on Resistive Device Arrays
Distilling Text into Circuits
Querent Intent in Multi-Sentence Questions
Compiler-Guided Throughput Scheduling for Many-core Machines
A Corpus-Based Investigation of Definite Description Use
Semantic Segmentation based Scene Understanding in Autonomous Vehicles
Getting Wiser from Multiple Data: Probabilistic Updating according to Jeffrey and Pearl
Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis
Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT
A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges
Learning Credit Assignment for Cooperative Reinforcement Learning
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection
Fragile Stable Matchings
Many-Valued Modal Logic
Graph Generation with Variational Recurrent Neural Network
Faster Quantum Concentration via Grover's Search
Coverage-Recon: Coordinated Multi-Drone Image Sampling with Online Map Feedback
Low Complexity Classification Approach for Faster-than-Nyquist (FTN) Signalling Detection
Using Humanoid Robot to Instruct and Evaluate Performance of a Physical Task
VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model
Compositional Affinity Propagation: When Clusters Have Compositional Structure
DOA estimation in structured phase-noisy environments: technical report
Causal Inference under Data Restrictions
Roadmap to Autonomous Surgery - A Framework to Surgical Autonomy
Parallel Complexity of Forward and Backward Propagation
NVTraverse: In NVRAM Data Structures, the Destination is More Important than the Journey
DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt
Evaluating Certificate Policy - Certification Practice Statement of Unique Government Certification Authority using Public Key Infrastructure Assessment Guidelines: Research in Progress
Photonic Neural Networks: A Compact Review
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement
AND-gates in ZX-calculus: Spider Nest Identities and QBC-completeness
Queuing Analysis of Opportunistic Cognitive Radio IoT Network with Imperfect Sensing
Depth Dependence of μP Learning Rates in ReLU MLPs
Winning Amazon KDD Cup'24
A Method for Establishing Asymptotically Accurate Bounds for Extremal Roots of Eulerian Polynomials Using Polynomial Stability Preservers
EvoZip: Efficient Compression of Large Collections of Evolutionary Trees
Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks
EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes
Progressive Depth Up-scaling via Optimal Transport
Binary Matrix Factorization on Special Purpose Hardware