yusuke1997/dblp-id-title huggingface dataset:
Continuous Top-k Queries over Real-Time Web Streams
Small but Significant: On the Promise of Small Language Models for Accessible AIED
Performance Guarantees for Data Freshness in Resource-Constrained Adversarial IoT Systems
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning
Semantic web service discovery approaches: overview and limitations
Sparsifying Suprema of Gaussian Processes
Potential Field Guided Actor-Critic Reinforcement Learning
Effect of The Latent Structure on Clustering with GANs
Zero-shot Sequential Neuro-symbolic Reasoning for Automatically Generating Architecture Schematic Designs
Ensembles of Localised Models for Time Series Forecasting
Zero-Shot Anomaly Detection without Foundation Models
Universal New Physics Latent Space
Pragmatic Reasoning improves LLM Code Generation
Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
Dereverberation using joint estimation of dry speech signal and acoustic system
Learning with Memory Embeddings
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Units
IDs for AI Systems
Data-based Moving Horizon Estimation under Irregularly Measured Data
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
MoKA: Mixture of Kronecker Adapters
Federated Learning of a Mixture of Global and Local Models
Building Detection from Satellite Images on a Global Scale
Relation Extraction with Instance-Adapted Predicate Descriptions
Emergence of Scale-Free Networks in Social Interactions among Large Language Models
FES: A Fast Efficient Scalable QoS Prediction Framework
Accurate Small Models using Adaptive Sampling
Full waveform inversion with unbalanced optimal transport distance
Implication of Unobservable State-and-topology Cyber-physical Attacks
MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency
A Principled Framework for Evaluating on Typologically Diverse Languages
Extracting Research Instruments from Educational Literature Using LLMs
Traffic Accident Analysis Using Decision Trees and Neural Networks
The #Somos600M Project: Generating NLP resources that represent the diversity of the languages from LATAM, the Caribbean, and Spain
Trajectory-Aware Air-to-Ground Channel Characterization for Low-Altitude UAVs Using MaMIMO Measurements
Quantum Entanglement and Measurement Noise: A Novel Approach to Satellite Node Authentication
Diffusion Models with Double Guidance: Generate with aggregated datasets
Dimensionless Policies based on the Buckingham π Theorem: Is it a good way to Generalize Numerical Results?
Automated Repair of Neural Networks
Near-Term Pseudorandom and Pseudoresource Quantum States
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis
Beyond Fixed and Dynamic Prompts: Embedded Jailbreak Templates for Advancing LLM Security
Understanding Gradient Descent through the Training Jacobian
From Tokens to Photons: Test-Time Physical Prompting for Vison-Language Models
Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification
Saliency-Guided DETR for Moment Retrieval and Highlight Detection
Optical Flow estimation with Event-based Cameras and Spiking Neural Networks
Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning Methods
FedOC: Optimizing Global Prototypes with Orthogonality Constraints for Enhancing Embeddings Separation in Heterogeneous Federated Learning
Discrete Gaussian Process Representations for Optimising UAV-based Precision Weed Mapping
Representational dissimilarity metric spaces for stochastic neural networks
Vision-based autonomous structural damage detection using data-driven methods
Multi-Docker-Eval: A 'Shovel of the Gold Rush' Benchmark on Automatic Environment Building for Software Engineering
Nyström Regularization for Time Series Forecasting
Predicting nuclear masses with product-unit networks
ProBench: Benchmarking GUI Agents with Accurate Process Information
Using Sentiment Information for Preemptive Detection of Toxic Comments in Online Conversations
Baseline: Operation-Based Evolution and Versioning of Data
Exploring the Sharpened Cosine Similarity
Is "A Helpful Assistant" the Best Role for Large Language Models? A Systematic Evaluation of Social Roles in System Prompts
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
MODNet-V: Improving Portrait Video Matting via Background Restoration
Convergence of Corporate and Information Security
Nonlinear Tensor Ring Network
Hierarchical Analysis and Control of Epidemic Spreading over Networks using Dissipativity and Mesh Stability
Power Control for User Cooperation
GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
BF-IMNA: A Bit Fluid In-Memory Neural Architecture for Neural Network Acceleration
Restpark: Minimal RESTful API for Retrieving RDF Triples
Recurrent Video Masked Autoencoders
Bayesian-based Online Label Shift Estimation with Dynamic Dirichlet Priors
Mutual-energy inner product optimization method for constructing feature coordinates and image classification in Machine Learning
An Analytical Approach to Privacy and Performance Trade-Offs in Healthcare Data Sharing
Aspect-Oriented Programming in Secure Software Development: A Case Study of Security Aspects in Web Applications
COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network
Leveraging Long and Short-term Information in Content-aware Movie Recommendation
Language Model is All You Need: Natural Language Understanding as Question Answering
Inference-Time Scaling of Diffusion Models for Infrared Data Generation
Efficient Verification of a RADAR SoC Using Formal and Simulation-Based Methods
Multimodal Skipgram Using Convolutional Pseudowords
A Cloud-Based Spatio-Temporal GNN-Transformer Hybrid Model for Traffic Flow Forecasting with External Feature Integration
GraspView: Active Perception Scoring and Best-View Optimization for Robotic Grasping in Cluttered Environments
Dual-view Spatio-Temporal Feature Fusion with CNN-Transformer Hybrid Network for Chinese Isolated Sign Language Recognition
Long-tailed Species Recognition in the NACTI Wildlife Dataset
Effective and Efficient Network Embedding Initialization via Graph Partitioning
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
Community detection based on first passage probabilities
Epileptic seizure detection using deep learning techniques: A Review
Higher-order Delsarte Dual LPs: Lifting, Constructions and Completeness
Optimal homotopy reconstruction results à la Niyogi, Smale, and Weinberger
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
A framework for coupling flow and deformation of the porous solid
A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis
The Generalized Capacity of a Quantum Channel
Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English
A Syzygial Method for Equidimensional Decomposition
Fostering Inclusion: A Virtual Reality Experience to Raise Awareness of Dyslexia-Related Barriers in University Settings
A collocation method for nonlinear tensor differential equations on low-rank manifolds
An Operator-Splitting Scheme for Viscosity Solutions of Constrained Second-Order PDEs
Terahertz Pulse Shaping Using Diffractive Legos
Post-Disaster Affected Area Segmentation with a Vision Transformer (ViT)-based EVAP Model using Sentinel-2 and Formosat-5 Imagery
Top-down Flow Transformer Networks
On Learning the Transformer Kernel
Two-Impulse Trajectory Design in Two-Body Systems With Riemannian Geometry
Substitutability of Spectrum and Cloud-based Antennas in Virtualised Wireless Networks
Reconciliation of Weakly Correlated Information Sources Utilizing Generalized EXIT Chart
From Legacy to Standard: LLM-Assisted Transformation of Cybersecurity Playbooks into CACAO Format
Low-cost and Faster Tracking Systems Using Core-sets for Pose-Estimation
Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images
Data-Centric AI Requires Rethinking Data Notion
On the dependent conjunction and implication
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios
Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios
AI-Driven Smartphone Solution for Digitizing Rapid Diagnostic Test Kits and Enhancing Accessibility for the Visually Impaired
Hybrid Optical Turbulence Models Using Machine Learning and Local Measurements
Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection
Vibrotactile information coding strategies for a body-worn vest to aid robot-human collaboration
New Symmetric and Planar Designs of Reversible Full-Adders/Subtractors in Quantum-Dot Cellular Automata
Image Segmentation with Optimal Control Techniques
System Design for a Data-driven and Explainable Customer Sentiment Monitor
When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination
Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
Analyzing the Dynamics of COVID-19 Lockdown Success: Insights from Regional Data and Public Health Measures
Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach
FRaN-X: FRaming and Narratives-eXplorer
Energy-Efficient Transmission Scheduling with Strict Underflow Constraints
Model-agnostic basis functions for the 2-point correlation function of dark matter in linear theory
SPADE: Self-supervised Pretraining for Acoustic DisEntanglement
Almost Tight Bounds for Conflict-Free Chromatic Guarding of Orthogonal Galleries
Multistability and regime shifts in microbial communities explained by competition for essential nutrients
AgentCTG: Harnessing Multi-Agent Collaboration for Fine-Grained Precise Control in Text Generation
Organizing Virtual Conferences through Mirrors: The ACM e-Energy 2020 Experience
Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
Visual Servoing of Unmanned Surface Vehicle from Small Tethered Unmanned Aerial Vehicle
PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking
cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores
GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset
Fine-Grained Attention Mechanism for Neural Machine Translation
A novel model reduction method to solve inverse problems of parabolic type
Crossing the Conversational Chasm: A Primer on Multilingual Task-Oriented Dialogue Systems
A giant with feet of clay: on the validity of the data that feed machine learning in medicine
FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following
Stochastic fluctuations and the detectability limit of network communities
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations
Filtered Lie-Trotter splitting for the "good" Boussinesq equation: low regularity error estimates
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)
Learning Koopman Operators with Control Using Bi-level Optimization
Kernel-based Translations of Convolutional Networks
Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
On the Impact of Information Acquisition and Aftermarkets on Auction Efficiency
Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem
Empirical Quantification of Spurious Correlations in Malware Detection
Mechanisms of non-factual hallucinations in language models
Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management
SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
Understanding and Controlling User Linkability in Decentralized Learning
Ageing of the 2+1 dimensional Kardar-Parisi-Zhang model
A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations
L1-Optimal Splines for Outlier Rejection
A Robust Data-Driven Iterative Control Method for Linear Systems with Bounded Disturbances
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks
Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation
Towards dialect-inclusive recognition in a low-resource language: are balanced corpora the answer?
Transparent Interpretation with Knockouts
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation
A Machine Learning System for Retaining Patients in HIV Care
A TRNG Implemented using a Soft-Data Based Sponge Function within a Unified Strong PUF Architecture
PSI Draft Specification
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Revolutionizing Blood Banks: AI-Driven Fingerprint-Blood Group Correlation for Enhanced Safety
Automated Skill Decomposition Meets Expert Ontologies: Bridging the Granularity Gap with LLMs
Covert Bits Through Queues
Multi-label Classification via Adaptive Resonance Theory-based Clustering
Biometric Recognition Using Deep Learning: A Survey
Towards a Relationship-Aware Transformer for Tabular Data
A novel convergence enhancement method based on Online Dimension Reduction Optimization
DIODE: A Dense Indoor and Outdoor DEpth Dataset
A linear MARS method for three-dimensional interface tracking
Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications
Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations
Autoencoder-based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter
Transfer Learning to Learn with Multitask Neural Model Search
ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience
UAVM: A Unified Model for Audio-Visual Learning
Green Wireless Network Scaling for Joint Deployment: Multi-BSs or Multi-RISs?
Core-periphery detection in multilayer networks
Systematic Review Protocol: Requirements Engineering in Quantum Computing
Neural Networks, Artificial Intelligence and the Computational Brain
AODVSEC: A Novel Approach to Secure Ad Hoc on-Demand Distance Vector (AODV) Routing Protocol from Insider Attacks in MANETs
Batch Transformer Architecture: Case of Synthetic Image Generation for Emotion Expression Facial Recognition
Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity
Asymptotic analysis of a GLRT test for detection with large sensor arrays
Effective Stiffness: Generalizing Effective Resistance Sampling to Finite Element Matrices
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives
WG-VITON: Wearing-Guide Virtual Try-On for Top and Bottom Clothes
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Signal Reconstruction from Modulo Observations
TurboAttention: Efficient Attention Approximation For High Throughputs LLMs
Exploring Crossmodal Interaction of Tactile and Visual Cues on Temperature Perception in Virtual Reality: a Preliminary Study
Validate and Enable Machine Learning in Industrial AI
IS (Iris Security)
A Pseudo-Bayesian Approach to Sign-Compute-Resolve Slotted ALOHA
Three-dimensional modelling of drag anchor penetration using the material point method
Online Social Networks: Threats and Solutions Survey
Proximity in face-to-face interaction is associated with mobile phone communication
A Generation-based Text Steganography Method using SQL Queries
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
A Tight Context-aware Privacy Bound for Histogram Publication
Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning
Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub
Network-Coded Multiple Access with Higher-order Modulations
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure
n-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations
WAIT: Protecting the Integrity of Web Applications with Binary-Equivalent Transparency
Recurrent Inference Machines for Solving Inverse Problems
DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America
A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning
Learning (Approximately) Equivariant Networks via Constrained Optimization
LabelBank: Revisiting Global Perspectives for Semantic Segmentation
Constraining the Synopsys Pin Access Checker Utility for Improved Standard Cells Library Verification Flow
A rigorous formulation of and partial results on Lorenz's "consensus strikes back" phenomenon for the Hegselmann-Krause model
On Some Peculiarities of Dynamic Switch between Component Implementations in an Autonomic Computing System
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Degraded Audio Signals
JADE: Joint-aware Latent Diffusion for 3D Human Generative Modeling
Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management
Theory for Equivariant Quantum Neural Networks
Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks
Robotic transcatheter tricuspid valve replacement with hybrid enhanced intelligence: a new paradigm and first-in-vivo study
HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast
Bilinear optimal control for the Stokes-Brinkman equations: a priori and a posteriori error analyses
ToSA: Token Selective Attention for Efficient Vision Transformers
Causality and Epistemic Reasoning in Byzantine Multi-Agent Systems
Autonomous Data Agents: A New Opportunity for Smart Data
DI-NIDS: Domain Invariant Network Intrusion Detection System
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure
Real World Assets on-Chain Assistance Low-Altitude Computility Networks: Architecture, Methodology, and Challenges
LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded Systems
Adaptive Smooth Disturbance Observer-Based Fast Finite-Time Adaptive Backstepping Control for Attitude Tracking of a 3-DOF Helicopter
Position Coupling: Leveraging Task Structure for Improved Length Generalization of Transformers
A Universal Multi-Vehicle Cooperative Decision-Making Approach in Structured Roads by Mixed-Integer Potential Game
Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding
Learning rates for classification with Gaussian kernels
Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal
About contrastive unsupervised representation learning for classification and its convergence
Code-switching pre-training for neural machine translation
Large Language Model-Powered Agent for C to Rust Code Translation
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence
Decoding Generalized Concatenated Codes Using Interleaved Reed-Solomon Codes
ARKitScenes - A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Nowcasting Recessions using the SVM Machine Learning Algorithm
Trained quantum neural networks are Gaussian processes
ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxies
Quota-based debiasing can decrease representation of already underrepresented groups
GAMEOPT: Optimal Real-time Multi-Agent Planning and Control at Dynamic Intersections
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences
On Classification of Distorted Images with Deep Convolutional Neural Networks
Data-Driven Method for Enhanced Corrosion Assessment of Reinforced Concrete Structures
Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds
On parity check collections for iterative erasure decoding that correct all correctable erasure patterns of a given size
Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models
jUCM: Universal Class Morphing (position paper)
Towards Intent-based User Interfaces: Charting the Design Space of Intent-AI Interactions Across Task Types
Subliminal Corruption: Mechanisms, Thresholds, and Interpretability
Distributed Space Time Coding for Wireless Two-way Relaying
Entropy-based measure of rock sample heterogeneity derived from micro-CT images
The complexity of the Timetable-Based Railway Network Design Problem
Inverse distance weighting attention
Algoritmos Genéticos Aplicado ao Problema de Roteamento de Veículos
DART: aDaptive Accept RejecT for non-linear top-K subset identification
An ML-based Approach to Predicting Software Change Dependencies: Insights from an Empirical Study on OpenStack
An Exploration of Active Learning for Affective Digital Phenotyping
AI-based Two-Stage Intrusion Detection for Software Defined IoT Networks
The Transactional Nature of Quantum Information
A fast two-stage algorithm for non-negative matrix factorization in streaming data
Automated Word Puzzle Generation via Topic Dictionaries
Music Transcription by Deep Learning with Data and "Artificial Semantic" Augmentation
Example Demonstrating the Application of Small-gain and Density Propagation Conditions for Interconnections
Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions
Logical Primes, Metavariables and Satisfiability
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
The Complexity of Data-Driven Norm Synthesis and Revision
SenWave: A Fine-Grained Multi-Language Sentiment Analysis Dataset Sourced from COVID-19 Tweets
Dwell-time stability and stabilization conditions for linear positive impulsive and switched systems
Input Aggregated Network for Face Video Representation
Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers
Pushing the Communication Speed Limit of a Noninvasive BCI Speller