yusuke1997/dblp-id-title huggingface dataset:
Large-scale, Dynamic and Distributed Coalition Formation with Spatial and Temporal Constraints
Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)
Laconic schema mappings: computing core universal solutions by means of SQL queries
A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things
Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees
Estimating and abstracting the 3D structure of bones using neural networks on X-ray (2D) images
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology
Improving evidential deep learning via multi-task learning
Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion
Characterizing and Adapting the Consistency-Latency Tradeoff in Distributed Key-value Stores
Towards the social media studies of science: social media metrics, present and future
Towards a Near-real-time Protocol Tunneling Detector based on Machine Learning Techniques
Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views
AutoBridge: Automating Smart Device Integration with Centralized Platform
A novel 2.5D approach for interfacing with web applications
Multitask Painting Categorization by Deep Multibranch Neural Network
Maximally-Informative Retrieval for State Space Model Generation
Reliable End-to-End Material Information Extraction from the Literature with Source-Tracked Multi-Stage Large Language Models
MRAMG-Bench: A BeyondText Benchmark for Multimodal Retrieval-Augmented Multimodal Generation
Near Field Localization via AI-Aided Subspace Methods
Taxonomic Classification of IoT Smart Home Voice Control
Effective Communications for 6G: Challenges and Opportunities
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
Context-self contrastive pretraining for crop type semantic segmentation
Towards Provably Safe Mixed Transportation Systems with Human-driven and Automated Vehicles
ChatGPT for GTFS: From Words to Information
Global Internet public peering capacity of interconnection: a complex network analysis
Consistency of interdisciplinarity measures
Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations
On the Ingleton-Violating Finite Groups and Group Network Codes
Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning
Provenance for Linguistic Corpora Through Nanopublications
LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph
3M-TI: High-Quality Mobile Thermal Imaging via Calibration-free Multi-Camera Cross-Modal Diffusion
Boosting Question Answering by Deep Entity Recognition
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means
Energy Storage Price Arbitrage via Opportunity Value Function Prediction
A conjugate-gradient-type rational Krylov subspace method for ill-posed problems
Line-of-Sight Deep-Space Autonomous Navigation
Rook theory of the finite general linear group
Understanding Human Mobility Flows from Aggregated Mobile Phone Data
Symbolically Solving Partial Differential Equations using Deep Learning
DeepJEB: 3D Deep Learning-based Synthetic Jet Engine Bracket Dataset
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing
Expanding on EnCLAP with Auxiliary Retrieval Model for Automated Audio Captioning
Design of Ciphers based on the Geometric Structure of the Möbius Plane
TREX: Tree-Ensemble Representer-Point Explanations
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
Large induced subgraph with a given pathwidth in outerplanar graphs
Multi-Order Monte Carlo IMEX hierarchies for uncertainty quantification in multiscale hyperbolic systems
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features
Conversation Modeling on Reddit using a Graph-Structured LSTM
Cultivating Multidisciplinary Research and Education on GPU Infrastructure for Mid-South Institutions at the University of Memphis: Practice and Challenge
Camera Invariant Feature Learning for Generalized Face Anti-spoofing
Automated Classification of Hand-grip action on Objects using Machine Learning
Morphological study of Albanian words, and processing with NooJ
SynthStrategy: Extracting and Formalizing Latent Strategic Insights from LLMs in Organic Chemistry
Magnetic Field Based Hand Tracking
Community Detection using Fortunato's Performance Measure
An iterative equation solver with low sensitivity on the initial value
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach
Improved scalar auxiliary variable schemes for original energy stability of gradient flows
Nonintrusive model order reduction for stochastic differential equations
Space-time adaptive methods for parabolic evolution equations
Deepfake Detection using Biological Features: A Survey
Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives
Towards the Design of Effective Freehand Gestural Interaction for Interactive TV
The Quest for Universal Master Key Filters in DS-CNNs
Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
Distribution free optimality intervals for clustering
A Novel Protocol Using Captive Portals for FIDO2 Network Authentication
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy
Integrating Explanations in Learning LTL Specifications from Demonstrations
Hardware vs. Software Implementation of Warp-Level Features in Vortex RISC-V GPU
SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning
Degrees of Freedom of Cache-Aided Interference Channels Assisted by Active Intelligent Reflecting Surfaces
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks
Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics
Similarity-Aware Selective State-Space Modeling for Semantic Correspondence
XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
Evaluating Learned Indexes for External-Memory Joins
What is Wrong with Language Models that Can Not Tell a Story?
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
Disentangling Visibility and Self-Promotion Bias in the arXiv:astro-ph Positional Citation Effect
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis
An Equilibrated Error Estimator for the 2D/1D MSFEM T-Formulation of the Eddy Current Problem
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation
A Survey of Mamba
Opportunistic Scheduling for Network Coded Data in Wireless Multicast Networks
Capacity-achieving Polar-based Codes with Sparsity Constraints on the Generator Matrices
Mean square error analysis of stochastic gradient and variance-reduced sampling algorithms
A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models
End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks
Maker-Maker games of rank 4 are PSPACE-complete
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals
vDLT: A Service-Oriented Blockchain System with Virtualization and Decoupled Management/Control and Execution
An Adaptive Port Technique for Synthesising Rotational Components in Component Modal Synthesis Approaches
Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance
Distributed Training of Large Graph Neural Networks with Variable Communication Rates
Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques
Sparsity-regularized coded ptychography for robust and efficient lensless microscopy on a chip
Analysis of regularization methods for the solution of ill-posed problems involving discontinuous operators
Input-Output Finite-Time Stability
Improved Bounds for the Excluded Grid Theorem
Role of AI Innovation, Clean Energy and Digital Economy towards Net Zero Emission in the United States: An ARDL Approach
Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments
Spectral Processing and Optimization of Static and Dynamic 3D Geometries
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
A Dynamic Web Service Registry Framework for Mobile Environments
Identifying Coupling Structure in Complex Systems through the Optimal Causation Entropy Principle
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction
A fully discretization, unconditionally energy stable finite element method solving the thermodynamically consistent diffuse interface model for incompressible two-phase MHD flows with large density ratios
A Dense and Efficient Instruction Set Architecture Encoding
How to Emulate Web Traffic Using Standard Load Testing Tools
Knowledge Discovery System For Fiber Reinforced Polymer Matrix Composite Laminate
Transformer with Controlled Attention for Synchronous Motion Captioning
Geometry-based approximation of waves in complex domains
Exponential Strong Converse for Content Identification with Lossy Recovery
On the Ethics of Using LLMs for Offensive Security
Consensus Function from an L p q -norm Regularization Term for its Use as Adaptive Activation Functions in Neural Networks
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning
A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs)
From Smart Sensing to Consciousness: An info-structural model of computational consciousness for non-interacting agents
Adaptive Content-based Routing using Subscription Subgrouping in Structured Overlays
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label
Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition
Greening the Grid: Electricity Market Clearing with Consumer-Based Carbon Cost
Multiple Antenna Secure Broadcast over Wireless Networks
Influence of Topological Features on Spatially-Structured Evolutionary Algorithms Dynamics
DOrA: 3D Visual Grounding with Order-Aware Referring
Quantum Quantitative Trading: High-Frequency Statistical Arbitrage Algorithm
Magnetworks: how mobility impacts the design of Mobile Networks
Recognizing and tracking outdoor objects by using ARToolKit markers
Enhancing Automotive User Experience with Dynamic Service Orchestration for Software Defined Vehicles
Active learning in annotating micro-blogs dealing with e-reputation
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR
Phase-Coded Memory and Morphological Resonance: A Next-Generation Retrieval-Augmented Generator Architecture
Mix of Experts Language Model for Named Entity Recognition
ABS: Adaptive Bounded Staleness Converges Faster and Communicates Less
Beyond Traditional DTN Routing: Social Networks for Opportunistic Communication
Constitutive Components for Human-Like Autonomous Artificial Intelligence
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
Online federated learning framework for classification
Agent Safety Alignment via Reinforcement Learning
A Learning Algorithm That Attains the Human Optimum in a Repeated Human-Machine Interaction Game
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data
Biomimetic Frontend for Differentiable Audio Processing
Performance Trade-off and Joint Waveform Design for MIMO-OFDM DFRC Systems
Emotional Responses in Artificial Agent-Based Systems: Reflexivity and Adaptation in Artificial Life
GPU Accelerated Explicit Time Integration Methods for Electro-Quasistatic Fields
Ternary Binomial and Trinomial Bent Functions in the Completed Maiorana-McFarland Class
Improving discretisation of continuous DVS scheme for frame based stochastic real-time systems using schedulability conditions
EmotionCarrier: A Multimodality 'Mindfulness-Training' Tool for Positive Emotional Value
Secret key-based Authentication with a Privacy Constraint
House of Cards: Massive Weights in LLMs
The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines
Using Location-Based Social Networks to Validate Human Mobility and Relationships Models
Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks
Aligning random graphs with a sub-tree similarity message-passing algorithm
Approximation of Hysteresis Functional
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles
The Potential Benefits of Filtering Versus Hyper-Parameter Optimization
RTTC: Reward-Guided Collaborative Test-Time Compute
Sliding Window Recurrences for Sequence Models
On the Energy Consumption of Rotary Wing and Fixed Wing UAVs in Flying Networks
HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation
Trajectory Range Visibility
Exact algorithms and heuristics for capacitated covering salesman problems
Characterization of incentive compatible single-parameter mechanisms revisited
How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability?
Gallager's Exponent for MIMO Channels: A Reliability-Rate Tradeoff
Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning
Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries
Enabling Adaptive Rate and Relay Selection for 802.11 Mobile Ad Hoc Networks
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance
GaitVibe+: Enhancing Structural Vibration-based Footstep Localization Using Temporary Cameras for In-home Gait Analysis
Panoramic Out-of-Distribution Segmentation
Predictive User Modeling with Actionable Attributes
Support for Eschenmoser's Glyoxylate Scenario
Refining Approximating Betweenness Centrality Based on Samplings
Interpretable Fine-Tuning for Graph Neural Network Surrogate Models
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
Planning for Optimal Feedback Control in the Volume of Free Space
Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education
Graph Value Iteration
Genesis of Altmetrics or Article-level Metrics for Measuring Efficacy of Scholarly Communications: Current Perspectives
Looking into the Unknown: Exploring Action Discovery for Segmentation of Known and Unknown Actions
Equalizing Closeness Centralities via Edge Additions
Is one brick enough to break the wall of spoken dialogue state tracking?
Causal Debiasing Medical Multimodal Representation Learning with Missing Modalities
Safeguarding Massive MIMO Aided HetNets Using Physical Layer Security
Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models
Comprehensive Evaluation of Prototype Neural Networks
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques
Imprecise dynamic walking with time-projection control
Characterisations of Testing Preorders for a Finite Probabilistic pi-Calculus
Automatic Speech Recognition (ASR) for African Low-Resource Languages: A Systematic Literature Review
Attention-Guided Network for Iris Presentation Attack Detection
A Fast Heuristic Algorithm for Redundancy Removal
H ∞ Performance Analysis for Almost Periodic Piecewise Linear Systems with Application to Roll-to-Roll Manufacturing Control
Application of Correlation Indices on Intrusion Detection Systems: Protecting the Power Grid Against Coordinated Attacks
Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection
Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
The Multi-cluster Fluctuating Two-Ray Fading Model
Locally Recoverable Codes with availability from a family of fibered surfaces
Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT
Stealth Fine-Tuning: Efficiently Breaking Alignment in RVLMs Using Self-Generated CoT
Genetically Modified Wolf Optimization with Stochastic Gradient Descent for Optimising Deep Neural Networks
Coherent Multi-Agent Trajectory Forecasting in Team Sports with CausalTraj
FiLM: Fill-in Language Models for Any-Order Generation
Is it ethical to avoid error analysis?
A practical approach to language complexity: a Wikipedia case study
3D Densely Convolutional Networks for Volumetric Segmentation
Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis
A Tight Lower Bound on Distributed Random Walk Computation
A Semantics-Aware Hierarchical Self-Supervised Approach to Classification of Remote Sensing Images
Human Re-ID Meets LVLMs: What can we expect?
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images
Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning
Advanced Self-interference Cancellation and Multiantenna Techniques for Full-Duplex Radios
Event-based Photometric Bundle Adjustment
Communication and Synchronization of Distributed Medical Models: Design, Development, and Performance Analysis
Construction of power flow feasibility sets
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
Haar frame characterizations of Besov-Sobolev spaces and optimal embeddings into their dyadic counterparts
Root Cause Analysis Of Productivity Losses In Manufacturing Systems Utilizing Ensemble Machine Learning
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training
Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI
Numerical modelling of protein misfolding in neurodegenerative diseases: a computational study
Gray-Level Image Transitions Driven by Tsallis Entropic Index
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Efficient Membership Testing for Pseudovarieties of Finite Semigroups
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
Error Distribution for One-Dimensional Stochastic Differential Equation Driven By Fractional Brownian Motion
Cross-correlation properties of cyclotomic sequences
Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search
Candidate Software Process Flaws for the Boeing 737 Max MCAS Algorithm and Risks for a Proposed Upgrade
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes
Nonlinear Discrete-time Systems' Identification without Persistence of Excitation: A Finite-time Concurrent Learning
High Performance Latent Variable Models
Face Swap via Diffusion Model
RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scans
SIGN: Scalable Inception Graph Neural Networks
Scalable Aerial GNSS Localization for Marine Robots
sbp-env: Sampling-based Motion Planners' Testing Environment
Implicit Regularization of Infinitesimally-perturbed Gradient Descent Toward Low-dimensional Solutions
Metaverse: Security and Privacy Concerns
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers
Can we detect harmony in artistic compositions? A machine learning approach
Multi-Agent Interplay in a Competitive Survival Environment
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
Spin Glass Models of Syntax and Language Evolution
Silicon microneedles array with biodegradable tips for transdermal drug delivery
A Survey on Mamba Architecture for Vision Applications
Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels
Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
SurgiTrack: Fine-Grained Multi-Class Multi-Tool Tracking in Surgical Videos
A two dimensional fluid model for TCP/AQM analysis
Gaussian Process bandits with adaptive discretization
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
Cluster images with AntClust: a clustering algorithm based on the chemical recognition system of ants
Learning-by-Novel-View-Synthesis for Full-Face Appearance-based 3D Gaze Estimation
Retrieval-Augmented Generation for Natural Language Art Provenance Searches in the Getty Provenance Index
MMAD: Multi-label Micro-Action Detection in Videos
Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs
Algebraic Algorithms for b-Matching, Shortest Undirected Paths, and f-Factors
On the class of gamma-mixing graphs
Data Verbalisation: What is Text Doing in a Data Visualisation?
Improve Object Detection by Data Enhancement based on Generative Adversarial Nets
Network dynamics of innovation processes
Following Closely: A Robust Monocular Person Following System for Mobile Robot
Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks
Regression Test Suite for Payment Switch using jPOS
Multilayer Analysis and Visualization of Networks
Hebbian Physics Networks: A Self-Organizing Computational Architecture Based on Local Physical Laws
Misinformation Regulation in the Presence of Competition between Social Media Platforms (Extended Version)
MuSiQue: Multi-hop Questions via Single-hop Question Composition
Data Survivability in Networks of Mobile Robots in Urban Disaster Environments
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
Feature Selection Approaches for Optimising Music Emotion Recognition Methods
Uncertainty-Aware, Risk-Adaptive Access Control for Agentic Systems using an LLM-Judged TBAC Model
Shared Global and Local Geometry of Language Model Embeddings
Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors
Maximal electric power generation from varying ocean waves with LC-tuned reactive PTO force
Efficient Deep Neural Networks
The Digital Divide in Process Safety: Quantitative Risk Analysis of Human-AI Collaboration
A Well-typed Lightweight Situation Calculus
Efficient Enumeration of At Most k -Out Polygons
Benchmarking Differential Privacy and Federated Learning for BERT Models
Statistical RIP and Semi-Circle Distribution of Incoherent Dictionaries
A Relevant Content Filtering Based Framework For Data Stream Summarization
A Quick Look at SATA Disk Performance
A tabu search heuristic for the Equitable Coloring Problem
Learning Dynamic Scene Reconstruction with Sinusoidal Geometric Priors
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks