yusuke1997/dblp-id-title huggingface dataset:
Tensor network complexity of multilinear maps
Generic Reduction-Based Interpreters (Extended Version)
A Framework for Evaluating Vision-Language Model Safety: Building Trust in AI for Public Sector Applications
Point Location in Constant Time
Entrofy Your Cohort: A Data Science Approach to Candidate Selection
TiC: Exploring Vision Transformer in Convolution
Bemba Speech Translation: Exploring a Low-Resource African Language
Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels
Rethinking Positive Sampling for Contrastive Learning with Kernel
Exploration of Large Networks via Fast and Universal Latent Space Model Fitting
DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography
Hypergraphs with node attributes: structure and inference
Rembrandts and Robots: Using Neural Networks to Explore Authorship in Painting
Large Vision Models Can Solve Mental Rotation Problems
Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory
Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective
Early Detection of Tuberculosis with Machine Learning Cough Audio Analysis: Towards More Accessible Global Triaging Usage
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation
Parkinson's Disease Freezing of Gait (FoG) Symptom Detection Using Machine Learning from Wearable Sensor Data
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
Experiments with Rich Regime Training for Deep Learning
Analyze and Design Network Architectures by Recursion Formulas
A Bayesian Nonparametric Method for Clustering Imputation, and Forecasting in Multivariate Time Series
When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study
Governing Automated Strategic Intelligence
JoyAvatar: Real-time and Infinite Audio-Driven Avatar Generation with Autoregressive Diffusion
Higher-order multi-scale method for high-accuracy nonlinear thermo-mechanical simulation of heterogeneous shells
Second-order cone interior-point method for quasistatic and moderate dynamic cohesive fracture
Structured Decompositions: Structural and Algorithmic Compositionality
Execution-time opacity control for timed automata
XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning
Bayesian Optimization for Building Social-Influence-Free Consensus
Statistical Inference for Online Decision Making via Stochastic Gradient Descent
Interference Management Strategies in HAPS-Enabled vHetNets in Urban Deployments
Accelerating Meta-Learning by Sharing Gradients
An efficient phase-field model of shear fractures using deviatoric stress split
Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware
Longitudinal Sampling of URLs From the Wayback Machine
Task-Based Quantization with Application to MIMO Receivers
Deep Reinforcement Learning with Quantum-inspired Experience Replay
Thought calibration: Efficient and confident test-time scaling
Introducing NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies
mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection
Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models
Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation
MoDist: Motion Distillation for Self-supervised Video Representation Learning
An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation
Average-case thresholds for exact regularization of linear programs
Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies
A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction
Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
Learning Constrained Corner Node Trajectories of a Tether Net System for Space Debris Capture
Enhanced User Grouping and Pairing Schemes for CoMP NOMA based Cellular Networks
Ergodic Exploration using Binary Sensing for Non-Parametric Shape Estimation
Adversarial Training for Graph Neural Networks
Uplink Scheduling Strategy Based on A Population Game in Vehicular Sensor Networks
Scaling *down* Deep Learning
Robust Diagram Reasoning: A Framework for Enhancing LVLM Performance on Visually Perturbed Scientific Diagrams
Understanding User Instructions by Utilizing Open Knowledge for Service Robots
Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processors
A Dimension-Decomposed Learning Framework for Online Disturbance Identification in Quadrotor SE(3) Control
Network classification through random walks
A finite element approach for minimizing line and surface energies arising in the study of singularities in liquid crystals
Making Democracy Work: Fixing and Simplifying Egalitarian Paxos (Extended Version)
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection
Hybrid machine learning based scale bridging framework for permeability prediction of fibrous structures
Cross-functional Analysis of Generalisation in Behavioural Learning
Machine Learning for Arbitrary Single-Qubit Rotations on an Embedded Device
EB-NeRD: A Large-Scale Dataset for News Recommendation
Exploring Diffusion with Test-Time Training on Efficient Image Restoration
Improved Robustness and Hyperparameter Selection in Modern Hopfield Networks
EHOP: A Dataset of Everyday NP-Hard Optimization Problems
Study of Opportunistic Relaying and Jamming Based on Secrecy-Rate Maximization for Buffer-Aided Relay Systems
U-DREAM: Unsupervised Dereverberation guided by a Reverberation Model
Note on a weakly over-penalised symmetric interior penalty method on anisotropic meshes for the Poisson equation, Ver. 1
Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
Transformers in Action Recognition: A Review on Temporal Modeling
Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory
FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values
Optimal stopping for the predictive maintenance of a structure subject to corrosion
Fixing Incremental Computation: Derivatives of Fixpoints, and the Recursive Semantics of Datalog
Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
A conceptual framework of Intelligent Management Control System for Higher Education
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization Techniques for the ICPHM 2023 Data Challenge
Flux-mortar mixed finite element methods with multipoint flux approximation
Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-based Battery Enclosures for Crashworthiness
Improving PIE's performance over high-delay paths
SWift - A SignWriting editor to bridge between deaf world and e-learning
Compositional Stochastic Modeling and Probabilistic Programming
Zero-Shot Self-Consistency Learning for Seismic Irregular Spatial Sampling Reconstruction
Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
A randomized covering-packing duality between source-coding and channel-coding
TDANetVis: Suggesting temporal resolutions for graph visualization using zigzag persistent homology
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates
A Novel Transmission Scheme for the $K$-user Broadcast Channel with Delayed CSIT
Impact Analysis of Harassment Against Women Using Association Rule Mining Approaches: Bangladesh Prospective
Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems
New economy: from crisis of dot-coms to virtual business
Feature-based Graph Attention Networks Improve Online Continual Learning
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: a systematic review
GeoFIK: A Fast and Reliable Geometric Solver for the IK of the Franka Arm based on Screw Theory Enabling Multiple Redundancy Parameters
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
EdgeToll: A Blockchain-based Toll Collection System for Public Sharing of Heterogeneous Edges
Enhanced Differential Testing in Emerging Database Systems
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization
Could you become more credible by being White? Assessing Impact of Race on Credibility with Deepfakes
MaterioMiner - An ontology-based text mining dataset for extraction of process-structure-property entities
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios
On Analyzing Estimation Errors due to Constrained Connections in Online Review Systems
Neural Architecture for Online Ensemble Continual Learning
On Undetected Error Probability of Binary Matrix Ensembles
SuperNet in Neural Architecture Search: A Taxonomic Survey
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing
On a Class of Discrete Memoryless Broadcast Interference Channels
Reinforcement learning techniques for Outer Loop Link Adaptation in 4G/5G systems
Unbiased Offline Evaluation for Learning to Rank with Business Rules
Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement Learning
Contrastive Learning for Source Code with Structural and Functional Properties
Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification
Spline-Based Stochastic Collocation Methods for Uncertainty Quantification in Nonlinear Hyperbolic PDEs
Stochastic Generalized-Order Constitutive Modeling of Viscoelastic Spectra of Polyurea-Graphene Nanocomposites
A Geometric Approach for Real-time Monitoring of Dynamic Large Scale Graphs: AS-level graphs illustrated
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
Towards Neural Language Evaluators
Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages
An SE(3) Noise Model for Range-Azimuth-Elevation Sensors
Latent Geometry for Complementarity-Driven Networks
A Risk-driven Model for Work Allocation in Global Software Development Projects
Lightweight Image Enhancement Network for Mobile Devices Using Self-Feature Extraction and Dense Modulation
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided Embedding
Comparison of brain connectomes using geodesic distance on manifold: a twin study
Slow mixing for Latent Dirichlet allocation
Deep learning approach to description and classification of fungi microscopic images
Structured Summarization: Unified Text Segmentation and Segment Labeling as a Generation Task
InversOS: Efficient Control-Flow Protection for AArch64 Applications with Privilege Inversion
Convergence law for hyper-graphs with prescribed degree sequences
Possibilities, Challenges and Limits of a European Charters Corpus (Cartae Europae Medii Aevi - CEMA)
Designing Virtual Environments for Social Engagement in Older Adults
FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning
At Your Fingertips: Extracting Piano Fingering Instructions from Videos
A Markov Random Field Multi-Modal Variational AutoEncoder
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series
Integrating Marketing Channels into Quantile Transformation and Bayesian Optimization of Ensemble Kernels for Sales Prediction with Gaussian Process Models
FrFT based estimation of linear and nonlinear impairments using Vision Transformer
Quality Analysis of a Chaotic Proven Keyed Hash Function
GaussianLens: Localized High-Resolution Reconstruction via On-Demand Gaussian Densification
Towards Autonomous 1/8th Offroad RC Racing - The TruggySense Educational Platform
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos
Neuromorphic Time-Dependent Pattern Classification with Organic Electrochemical Transistor Arrays
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images
Towards Understanding Persuasion in Computational Argumentation
Silent Abandonment in Text-Based Contact Centers: Identifying, Quantifying, and Mitigating its Operational Impacts
Event-Triggered Newton-Based Extremum Seeking Control
The Circlet Inequalities: A New, Circulant-Based Facet-Defining Inequality for the TSP
A Generalized Extensive-Form Fictitious Play Algorithm
High-order finite-volume integration schemes for subsonic magnetohydrodynamics
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification
Channel Estimation under Large Doppler Shifts in NOMA-Based Air-Ground Communications
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation
Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs
OD-GCN object detection by knowledge graph with GCN
Computational Asymmetry in Strategic Bayesian Networks
Atlas-Based Prostate Segmentation Using an Hybrid Registration
Semi-automatic vectorization of linear networks on rasterized cartographic maps
Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework
Adaptive Locally Affine-Invariant Shape Matching
Bag of Tricks for Subverting Reasoning-based Safety Guardrails
Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake
Design of AI-Powered Tool for Self-Regulation Support in Programming Education
Consensus-based Fast and Energy-Efficient Multi-Robot Task Allocation
Self-Evolutionary Optimization for Pareto Front Learning
Big Data Architecture in Czech Republic Healthcare Service: Requirements, TPC-H Benchmarks and Vertica
Transmitting quantum information by superposing causal order of mutually unbiased measurements
Shortest reconfiguration paths in the solution space of Boolean formulas
Classes of Terminating Logic Programs
OCDN: Oblivious Content Distribution Networks
Expressing social attitudes in virtual agents for social training games
Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images
Scheduling in Multi-hop Wireless Networks with Priorities
Simple and efficient four-cycle counting on sparse graphs
Secure Massive MIMO Systems with Limited RF Chains
B-RIGHT: Benchmark Re-evaluation for Integrity in Generalized Human-Object Interaction Testing
Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
Simulating the Effects of Social Presence on Trust, Privacy Concerns \& Usage Intentions in Automated Bots for Finance
EDMD for expanding circle maps and their complex perturbations
High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework
StmtTree: An Easy-to-Use yet Versatile Fortran Transformation Toolkit
Inner Attention Modeling for Flexible Teaming of Heterogeneous Multi Robots Using Multi-Agent Reinforcement Learning
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications
Online Generation of Proofs Without Words
Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks
Graph Mixing Additive Networks
A Theory for Semantic Communications
Bayesian preference elicitation for multiobjective combinatorial optimization
Neural Machine Translation with Pivot Languages
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning
Robust output regulation of linear system subject to modeled and unmodeled uncertainty
Efficient Fog Node Placement using Nature-Inspired Metaheuristic for IoT Applications
NICE: An Algorithm for Nearest Instance Counterfactual Explanations
Intuitionistic modal logic LIK4 is decidable
DDBot: Differentiable Physics-based Digging Robot for Unknown Granular Materials
TreeSketchNet: From Sketch To 3D Tree Parameters Generation
Numerical Model of Shallow Water: the Use of NVIDIA CUDA Graphics Processors
Split block Bloom filters
Agent-based models of social behaviour and communication in evacuations: A systematic review
Optimizing Polymatroid Functions
A Component Based Heuristic Search Method with Evolutionary Eliminations
Large Motion Model for Unified Multi-Modal Motion Generation
Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil
A toolbox of Equation-Free functions in Matlab\Octave for efficient system level simulation
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
Kunz languages for numerical semigroups are context sensitive
Improved Approximation Algorithms for Path and Forest Augmentation via a Novel Relaxation
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
A General Method for Finding Low Error Rates of LDPC Codes
TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification
Can Language Models Act as Knowledge Bases at Scale?
Stock Pattern Assistant (SPA): A Deterministic and Explainable Framework for Structural Price Run Extraction and Event Correlation in Equity Markets
Tight p-fusion frames
Learning Representations for CSI Adaptive Quantization and Feedback
Low-Discrepancy Points via Energetic Variational Inference
From Massively Parallel Algorithms and Fluctuating Time Horizons to Non-equilibrium Surface Growth
A White Paper on Neural Network Quantization
A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
Multi-view Information Integration and Propagation for Occluded Person Re-identification
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)
PERCS: Persona-Guided Controllable Biomedical Summarization Dataset
Intuitionistic Euler-Venn Diagrams (extended)
Optimal Path Planning under Temporal Logic Constraints
A Hierarchical Approach for the Association Problem with Misleading Partial Channel State Information
Gradient Similarity Surgery in Multi-Task Deep Learning
Event Detection via Probability Density Function Regression
Formal verification of higher-order probabilistic programs
Satellite Autonomous Clock Fault Monitoring with Inter-Satellite Ranges Using Euclidean Distance Matrices
On generating k -factorable graphic sequences with connected (resp.no connected) k -factors
CAZAC sequence generation of any length with iterative projection onto unit circle: principle and first results
Extracting Entities and Topics from News and Connecting Criminal Records
Advances on mechanical designs for assistive ankle-foot orthoses
Attention Based Communication and Control for Multi-UAV Path Planning
UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images
Nature, Science, and PNAS - Disciplinary profiles and impact
Reducing Aggregate Electric Vehicle Battery Capacity through Sharing
Isogeometric Boundary Element Method with Hierarchical Matrices
Verifying Fixed-Point Digital Filters using SMT-Based Bounded Model Checking
Adversarial Robustness in Parameter-Space Classifiers
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints
Sparse Auto-Regressive: Robust Estimation of AR Parameters
Cortex: Workflow-Aware Resource Pooling and Scheduling for Agentic Serving
Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software
A method to construct exponential families by representation theory
Independent Component Analysis based on multiple data-weighting
A Novel Efficient Signcryption Scheme for Resource-Constrained Smart Terminals in Cyber-Physical Power Systems
Learning multi-phase flow and transport in fractured porous media with auto-regressive and recurrent graph neural networks
A Survey of the State-of-the-Art Parallel Multiple Sequence Alignment Algorithms on Multicore Systems
Practical Selection of SVM Supervised Parameters with Different Feature Representations for Vowel Recognition
Multimodal-based Scene-Aware Framework for Aquatic Animal Segmentation
Towards Finite-State Morphology of Kurdish
The Control of a Beamline Over Intranet
Deconvolving convolution neural network for cell detection
Enabling Reconfiguration-Communication Overlap for Collective Communication in Optical Networks
RoomPlanner: Explicit Layout Planner for Easier LLM-Driven 3D Room Generation
Efficient Adaptive Optimization via Subset-Norm and Subspace-Momentum: Fast, Memory-Reduced Training with Convergence Guarantees
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
Convexification-based globally convergent numerical method for a 1D coefficient inverse problem with experimental data
A Type of Virtual Force based Energy-hole Mitigation Strategy for Sensor Networks
Modeling Human Dynamics and Lifestyle Using Digital Traces
UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion Recognition
Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems
Error estimates for a splitting integrator for semilinear boundary coupled systems
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease
On high-order/low-order and micro-macro methods for implicit time-stepping of the BGK model
Evolution of Wikipedia's Category Structure
3-Competitive Policy for Minimizing Age of Information in Multi-Source M/G/1 Queuing Model
Causal-Informed Contrastive Learning: Towards Bias-Resilient Pre-training under Concept Drift
Control theory and splitting methods
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
Phasor Noise for Dehomogenisation in 2D Multiscale Topology Optimisation
Data clustering with edge domination in complex networks
The Weighted CFG Constraint
GMM-based Symbol Error Rate Prediction for Multicarrier Systems with Impulsive Noise Suppression
A Proof of Threshold Saturation for Spatially-Coupled LDPC Codes on BMS Channels
Detecting Intentional Packet Drops on the Internet via TCP/IP Side Channels: Extended Version
Efficient Refreshing Protocol for Leakage-Resilient Storage Based on the Inner-Product Extractor
Fake or Real? A Study of Arabic Satirical Fake News
Beyond Traditional Surveillance: Harnessing Expert Knowledge for Public Health Forecasting
Mathematical Foundations of Quantum Computing for Computer Science Researchers