yusuke1997/dblp-id-title huggingface dataset:
A Martingale Approach to Detect Peak of News in Social Network
Joint State-Action Embedding for Efficient Reinforcement Learning
Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation
Efficient Hyperparameter Tuning via Trajectory Invariance Principle
ε-MSR Codes: Contacting Fewer Code Blocks for Exact Repair
SpiNNTools: The Execution Engine for the SpiNNaker Platform
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles
The Capacity of MIMO Channels with Per-Antenna Power Constraint
Real-Time Driver Monitoring Systems through Modality and View Analysis
Digital Healthcare in The Metaverse: Insights into Privacy and Security
Path homology and temporal networks
On Maximum Contention-Free Interleavers and Permutation Polynomials over Integer Rings
On the Impact of 3D Visualization of Repository Metrics in Software Engineering Education
UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization
On the Scalability of Reliable Data Transfer in High Speed Networks
Towards a Robot Perception Specification Language
Machine learning reveals how personalized climate communication can both succeed and backfire
A Simple and Near-Optimal Algorithm for Directed Expander Decompositions
Ensemble Performance Through the Lens of Linear Independence of Classifier Votes in Data Streams
Alife Model of Evolutionary Emergence of Purposeful Adaptive Behavior
Stance Classification of Social Media Users in Independence Movements
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference
A near-optimal policy for single-server scheduling with estimated job sizes
Quasi-Interpolant Operators and the Solution of Fractional Differential Problems
SCHEME: Scalable Channer Mixer for Vision Transformers
Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models
Isolation schemes for problems on decomposable graphs
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages
Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part I: Optimum Algorithm & Multiple Point-to-Point Channels
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification
Causality in the Can: Diet Coke's Impact on Fatness
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain
Task Priors: Enhancing Model Evaluation by Considering the Entire Space of Downstream Tasks
A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs
A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using Physics-Informed Neural Network
A Tight Lower Bound for Monotonicity Testing over Large Ranges
Explainable Recommender with Geometric Information Bottleneck
An Interactive Google Earth Engine Application for Global Multi-Scale Vegetation Analysis Using NDVI Thresholding
Slimmed optical neural networks with multiplexed neuron sets and a corresponding backpropagation training algorithm
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Resampled Mutual Information for Clustering and Community Detection
A Framework for Parallelizing OWL Classification in Description Logic Reasoners
Fast Task Planning with Neuro-Symbolic Relaxation
Towards Log-Linear Logics with Concrete Domains
Correct and Compositional Hardware Generators
Assessment Twins: A Protocol for AI-Vulnerable Summative Assessment
Efficient and accurate computation to the ε-function and its action on a vector
PaperCard for Reporting Machine Assistance in Academic Writing
Spread-Spectrum Based on Finite Field Fourier Transforms
NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback
Ricci flow-guided autoencoders in learning time-dependent dynamics
Evaluating LLMs for Privilege-Escalation Scenarios
Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next
Factoring Exogenous State for Model-Free Monte Carlo
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
CAMP: A Context-Aware Cricket Players Performance Metric
Modeling Interconnected Social and Technical Risks in Open Source Software Ecosystems
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks
The Lax-Milgram Theorem. A detailed proof to be formalized in Coq
FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow
Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars
Coupling Analysis Between Twitter and Call Centre
Some Developments in Clustering Analysis on Stochastic Processes
Surrogate-assisted level-based learning evolutionary search for heat extraction optimization of enhanced geothermal system
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading
ITEM3D: Illumination-Aware Directional Texture Editing for 3D Models
A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
Simple Maximum-Likelihood Decoding of Generalized First-order Reed-Muller Codes
Deep Invertible Networks for EEG-based brain-signal decoding
FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation
Macro and Micro Diversity Behaviors of Practical Dynamic Decode and Forward Relaying schemes
Prävention und Beseitigung von Fehlerursachen im Kontext von unbemannten Fahrzeugen
Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification
Quantum Circuit Structure Optimization for Quantum Reinforcement Learning
Consistency Checking and Querying in Probabilistic Databases under Integrity Constraints
VaultGemma: A Differentially Private Gemma Model
Explaining News Bias Detection: A Comparative SHAP Analysis of Transformer Model Decision Mechanisms
Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario
Refine Drugs, Don't Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery
Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning
Switching LPV Approach for Analysis and Control of TCP-based Cyber-Physical Systems under DoS Attack
Voltage Control Using Eigen Value Decomposition of Fast Decoupled Load Flow Jacobian
Toward the Performance vs. Feedback Tradeoff for the Two-User MISO Broadcast Channel
Stabilized Lagrange Multipliers for Dirichlet Boundary Conditions in Divergence Preserving Unfitted Methods
Active Perception for Multimodal Object Category Recognition Using Information Gain
UAIC_Twin_Width: An Exact yet Efficient Twin-Width Algorithm
Second Order Asymptotics for Communication under Strong Asynchronism
Optimal Output Consensus of Second-Order Uncertain Nonlinear Systems on Weight-Unbalanced Directed Networks
Learning Time Delay Systems with Neural Ordinary Differential Equations
How to Return to Normalcy: Fast and Comprehensive Contact Tracing of COVID-19 through Proximity Sensing Using Mobile Devices
Specification-Driven Neural Network Reduction for Scalable Formal Verification
UdonCare: Hierarchy Pruning for Unseen Domain Discovery in Predictive Healthcare
Online Maximum Independent Set of Hyperrectangles
FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI
Efficient and scalable hybrid fluid-particle simulations with geometrically resolved particles on heterogeneous CPU-GPU architectures
Differential Morphological Profile Neural Networks for Semantic Segmentation
Towards a mathematical understanding of learning from few examples with nonlinear feature maps
System of Agentic AI for the Discovery of Metal-Organic Frameworks
Neural SDEs as a Unified Approach to Continuous-Domain Sequence Modeling
Comments On "A New Transient Attack On The Kish Key Distribution System"
TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks
TransAxx: Efficient Transformers with Approximate Computing
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks
Distributional Method for Risk Averse Reinforcement Learning
Iterative Neural Autoregressive Distribution Estimator (NADE-k)
Federated Coded Matrix Inversion
A new direction to promote the implementation of artificial intelligence in natural clinical settings
Science Gateway for Distributed Multiscale Course Management in e-Science and e-Learning - Use Case for Study and Investigation of Functionalized Nanomaterials
Pure Prolog Execution in 21 Rules
Zero-shot Entailment of Leaderboards for Empirical AI Research
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations
The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
Parameterized Verification of Round-based Distributed Algorithms via Extended Threshold Automata
Online geolocalized emotion across US cities during the COVID crisis: Universality, policy response, and connection with local mobility
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy
Label noise in segmentation networks : mitigation must deal with bias
Splay Trees, Davenport-Schinzel Sequences, and the Deque Conjecture
Coevolutionary success-driven multigames
Mesh-based Autoencoders for Localized Deformation Component Analysis
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data
Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
PythonPal: Enhancing Online Programming Education through Chatbot-Driven Personalized Feedback
ViLU: Learning Vision-Language Uncertainties for Failure Prediction
An Empirical Study of Least Squares Ratings for USA Ultimate Frisbee
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling
The Notorious Difficulty of Comparing Human and Machine Perception
SDAKD: Student Discriminator Assisted Knowledge Distillation for Super-Resolution Generative Adversarial Networks
A fast procedure for the construction of quadrature formulas for bandlimited functions
Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference
Computational Paths Form a Weak ω-Groupoid
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
A Case Study on Filtering for End-to-End Speech Translation
Early Signs of Steganographic Capabilities in Frontier LLMs
Machine-Learning Accelerated Calculations of Reduced Density Matrices
On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions
The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation
iHDR: Iterative HDR Imaging with Arbitrary Number of Exposures
Randomized subspace correction methods for convex optimization
Spatio-temporal variation of conversational utterances on Twitter
Gradient Descent Quantizes ReLU Network Features
Training Large Language Models to Reason via EM Policy Gradient
MaSkel: A Model for Human Whole-body X-rays Generation from Human Masking Images
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
Continuous Monitoring via Repeated Significance
Defying Gravity: On the Complexity of the Hanano Puzzle
Coding Side-Information for Implementing Cubic Transformation
Lightweight Trustworthy Distributed Clustering
Optimizing Inference Performance of Transformers on CPUs
Real root finding for equivariant semi-algebraic systems
Learning Irreducible Representations of Noncommutative Lie Groups
Text mining and visualization using VOSviewer
VisualRWKV-HD and UHD: Advancing High-Resolution Processing for Visual Language Models
High-Resolution, Multi-Channel FPGA-Based Time-to-Digital Converter
Coevolutionary Control of a Neuromorphic Network through a Mixed-Feedback Architecture
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need
SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging
Approximation schemes for McKean-Vlasov and Boltzmann type equations (error analyses in total variation distance)
A Deep Learning Based Illegal Insider-Trading Detection and Prediction Technique in Stock Market
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
Objective Function Designing Led by User Preferences Acquisition
Sketch-based Medical Image Retrieval
On the trace ratio method and Fisher's discriminant analysis for robust multigroup classification
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks
TimeRewind: Rewinding Time with Image-and-Events Video Diffusion
Reflow: Automatically Improving Touch Interactions in Mobile Applications through Pixel-based Refinements
Energy-aware Mode Selection for Throughput Maximization in RF-Powered D2D Communications
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval
Metacarpal Bones Localization in X-ray Imagery Using Particle Filter Segmentation
OmniFD: A Unified Model for Versatile Face Forgery Detection
Parameterization of SWIM Mobility Model Using Contact Traces
From Creation to Curriculum: Examining the role of generative AI in Arts Universities
Friction Estimation for In-Hand Planar Motion
Solving the Power Flow Equations: A Monotone Operator Theory Approach
Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs
Preference Change in Persuasive Robotics
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds
Redirect2Own: Protecting the Intellectual Property of User-uploaded Content through Off-site Indirect Access
Code Transpilation for Hardware Accelerators
LLMs-based Augmentation for Domain Adaptation in Long-tailed Food Datasets
System Prompt Extraction Attacks and Defenses in Large Language Models
Effective Road Model for Congestion Control in VANETs
Reinforcement Learning for Mixed-Integer Problems Based on MPC
Comprehensive Introduction to Fully Homomorphic Encryption for Dynamic Feedback Controller via LWE-based Cryptosystem
Division of the Energy Market into Zones in Variable Weather Conditions using Locational Marginal Prices
Bittensor Protocol: The Bitcoin in Decentralized Artificial Intelligence? A Critical and Empirical Analysis
Rethinking Entropy Regularization in Large Reasoning Models
Graph Streaming Lower Bounds for Parameter Estimation and Property Testing via a Streaming XOR Lemma
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
An Effective Algorithm for Learning Single Occurrence Regular Expressions with Interleaving
Curriculum Meta-Learning for Few-shot Classification
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes
Clustering of Data with Missing Entries using Non-convex Fusion Penalties
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
An Introduction on Dependency Between Hardware Life Time Components and Dynamic Voltage Scaling
fairmetrics: An R package for group fairness evaluation
Source Code Vulnerability Detection: Combining Code Language Models and Code Property Graphs
A Novel Gaussian filter-based Pressure Correction Technique with Super Compact Scheme for Unsteady 3D Incompressible, Viscous Flows
Using Google Ngram Viewer for Scientific Referencing and History of Science
In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging
From Parametric Model-based Optimization to robust PID Gain Scheduling
When Provenance Aids and Complicates Reproducibility Judgments
Wasserstein-Wasserstein Auto-Encoders
IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System
Constructing balanced datasets for predicting failure modes in structural systems under seismic hazards
Fundamental Limits of Distributed Caching in D2D Wireless Networks
Abstract Physical Traces
DualSpec: Text-to-spatial-audio Generation via Dual-Spectrogram Guided Diffusion Model
Source-Channel Coding under Energy, Delay and Buffer Constraints
Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvature
A Scalable Machine Learning Pipeline for Building Footprint Detection in Historical Maps
MRANet: A Modified Residual Attention Networks for Lung and Colon Cancer Classification
Budget-Constrained Multi-Armed Bandits with Multiple Plays
Towards Object Detection from Motion
Validating GAN-BioBERT: A Methodology For Assessing Reporting Trends In Clinical Trials
Estimating individual employment status using mobile phone network data
Physics Inspired Hybrid Attention for SAR Target Recognition
A Centralized Channel Allocation Method in Clustered Ad Hoc Networks
Transformer Transforms Salient Object Detection and Camouflaged Object Detection
Data marketplaces can increase the willingness to share social media data at low prices
Optimized data collection and analysis process for studying solar-thermal desalination by machine learning
Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks
Unmasking COVID-19 Vulnerability in Nigeria: Mapping Risks Beyond Urban Hotspots
AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database
The Minimum-Rank Gram Matrix Completion via Fixed Point Continuation Method
Simultaneous Nonunique Decoding Is Rate-Optimal
Fostering Joint Innovation: A Global Online Platform for Ideas Sharing and Collaboration
On the number of maximum independent sets in Doob graphs
A Rate-Optimal Construction of Codes with Sequential Recovery with Low Block Length
Secure Massive MIMO Transmission in the Presence of an Active Eavesdropper
Graph Mixer Networks
Trajectory-based Robustness Analysis for Nonlinear Systems
Deep Transfer Q -Learning for Offline Non-Stationary Reinforcement Learning
Contextual Bandit with Missing Rewards
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics
Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation
Shall I Compare Thee to a Machine-Written Sonnet? An Approach to Algorithmic Sonnet Generation
DAB Content Annotation and Receiver Hardware Control with XML
Doppler Spectrum Estimation by Ramanujan Fourier Transforms
3D Skeleton-Based Action Recognition: A Review
Using MongoDB for Social Networking Website
A Stronger Baseline for Ego-Centric Action Detection
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning
Almost Linear Complexity Methods for Delay-Doppler Channel Estimation
The Complexity of Sequential Routing Games
Temporally Heterogeneous Graph Contrastive Learning for Multimodal Acoustic event Classification
Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
User Empowerment in the Internet of Things
Detecting Qualia in Natural and Artificial Agents
Human Capabilities as Guiding Lights for the Field of AI-HRI: Insights from Engineering Education
Cluster & Disperse: a general air conflict resolution heuristic using unsupervised learning
Stock Prices Prediction using Deep Learning Models
EpiFi: An In-Home Sensor Network Architecture for Epidemiological Studies
Stability Analysis of Deep Reinforcement Learning for Multi-Agent Inspection in a Terrestrial Testbed
Reasoning About an ACME Printer Case Investigation with Forensic Lucid
Numerical analysis of a singularly perturbed convection diffusion problem with shift in space
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants
Vision based UAV Navigation through Narrow Passages
Finite State Machines for Semantic Scene Parsing and Segmentation
On the Visualisation of Argumentation Graphs to Support Text Interpretation
DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers
Maximizing Communication Throughput in Tree Networks
A New Efficient Key Management Protocol for Wireless Sensor and Actor Networks
Team Power and Hierarchy: Understanding Team Success
Selective Parallel Loading of Large-Scale Compressed Graphs with ParaGrapher
Automated Discovery of Branching Rules with Optimal Complexity for the Maximum Independent Set Problem
A macroelement stabilization for multiphase poromechanics
Perturbation Analysis of a Variable M/M/1 Queue: A Probabilistic Approach
Mathematical analysis of the gradients in deep learning
Feedback Passivation of Linear Systems with Fixed-Structured Controllers
Agentic Markets: Game Dynamics and Equilibrium in Markets with Learning Agents
Optimal Control of a Stochastic Power System - Algorithms and Mathematical Analysis
Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
Label-Efficient Learning in Agriculture: A Comprehensive Review
A Domain-adaptive Pre-training Approach for Language Bias Detection in News
A probabilistic assessment of the Indo-Aryan Inner-Outer Hypothesis
How deep learning works -The geometry of deep learning
Computing the Kullback-Leibler Divergence between two Weibull Distributions
Adaptive Nonlinear Control of High-Performance motors through Multi-Level Inverters
Hybrid Model For Word Prediction Using Naive Bayes and Latent Information
Heavy Hitters over Interval Queries
Enhancing NeuroEvolution-Based Game Testing: A Branch Coverage Approach for Scratch Programs
Real-world Deep Local Motion Deblurring
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild
Impact of Channel Variation on One-Class Learning for Spoof Detection
Cluster-Dags as Powerful Background Knowledge For Causal Discovery
Maximizing Expected Impact in an Agent Reputation Network - Technical Report
Polygonizer: An auto-regressive building delineator
Sequential Elimination Contests with All-Pay Auctions
A converse to Moore's theorem on cellular automata
Space-Time Collocation Method: Loop Quantum Hamiltonian Constraints
Simulating the Ridesharing Economy: The Individual Agent Metro-Washington Area Ridesharing Model
An efficient and secure scheme of verifiable computation for Intel SGX
A deep learning-based method for relative location prediction in CT scan images
Community Discovery in Dynamic Networks: a Survey
Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
Sequence Transduction with Recurrent Neural Networks
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models
HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
BiHeartS: Bilateral Heart Rate from multiple devices and body positions for Sleep measurement Dataset
Execution time budget assignment for mixed criticality systems
Code Quality Evaluation Methodology Using The ISO/IEC 9126 Standard
Broken Letters, Broken Narratives: A Case Study on Arabic Script in DALL-E 3
Backtesting Trading Strategies with GAN To Avoid Overfitting
Bridging Bots: from Perception to Action via Multimodal-LMs and Knowledge Graphs
Generating Exceptional Behavior Tests with Reasoning Augmented Large Language Models