yusuke1997/dblp-id-title huggingface dataset:
Embodying the Glitch: Perspectives on Generative AI in Dance Practice
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization
B 4 : A Black-Box Scrubbing Attack on LLM Watermarks
KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation
Tradeoffs of Linear Mixed Models in Genome-wide Association Studies
Quantifying metadata-structure relationships in networks using description length
Solving Quadratic Programs with Slack Variables via ADMM without Increasing the Problem Size
Fingertip Detection: A Fast Method with Natural Hand
Everyone Needs AIR: An Agnostic Incident Reporting Framework for Cybersecurity in Operational Technology
TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs
MCD: Marginal Contrastive Discrimination for conditional density estimation
Edge Intersection Graphs of Paths on a Triangular Grid
Anomaly Detection using Ensemble Classification and Evidence Theory
Methodologies for realizing natural-language-facilitated human-robot cooperation: A review
UniHM: Universal Human Motion Generation with Object Interactions in Indoor Scenes
Sensor Security: Current Progress, Research Challenges, and Future Roadmap
Subsampling Spectral Clustering for Large-Scale Social Networks
Computational Petri Nets: Adjunctions Considered Harmful
Back to the Future - Sequential Alignment of Text Representations
Types are Internal ∞-Groupoids
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
A Reinforcement Learning Engine with Reduced Action and State Space for Scalable Cyber-Physical Optimal Response
ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models
Coresets for k-median clustering under Fréchet and Hausdorff distances
Doubly Perfect Nonlinear Boolean Permutations
One-shot path planning for multi-agent systems using fully convolutional neural network
A Qualitative Study of Architectural Design Issues in DevOps
On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems
Predicting microRNA-disease associations from knowledge graph using tensor decomposition with relational constraints
Social Explorative Attention based Recommendation for Content Distribution Platforms
Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters
Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles
Pre-training of Context-aware Item Representation for Next Basket Recommendation
Maximizing Modular plus Non-monotone Submodular Functions
Proceedings of the Fifth International Conference on Cloud and Robotics (ICCR2018)
A Quantitative Study of Social Organization in Open Source Software Communities
Neural Net Model for Featured Word Extraction
Natural Language Supervision for Low-light Image Enhancement
Emotions as abstract evaluation criteria in biological and artificial intelligences
Narrow-band Deep Filtering for Multichannel Speech Enhancement
Tool-integrated Reinforcement Learning for Repo Deep Search
Octave Mix: Data augmentation using frequency decomposition for activity recognition
Determining minimum number of required accelerometer for output-only structural identification of frames
EmoTalkingGaussian: Continuous Emotion-conditioned Talking Head Synthesis
Rough matroids based on coverings
HiGS: Hierarchical Generative Scene Framework for Multi-Step Associative Semantic Spatial Composition
Investigating Opportunities to Support Kids' Agency and Well-being: A Review of Kids' Wearables
Simple inequalities for weighted entropies
Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty
Query Rewriting via LLMs
A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease
MenakBERT - Hebrew Diacriticizer
Transformer Conformal Prediction for Time Series
Escaping strict saddle points of the Moreau envelope in nonsmooth optimization
Investigating Power Outage Effects on Reliability of Solid-State Drives
Voice-controlled Debugging of Spreadsheets
Session Types for Broadcasting
Fault Location Estimation by Using Machine Learning Methods in Mixed Transmission Lines
Llull and Copeland Voting Computationally Resist Bribery and Control
Masked Autoencoders for Low dose CT denoising
HarborNet: A Real-World Testbed for Vehicular Networks
Joint Storage Allocation and Computation Design for Private Edge Computing
A Survey of AI Text-to-Image and AI Text-to-Video Generators
Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit
Cryptanalysis of a Chaotic Key based Image Encryption Scheme
Towards Robust Time-of-Flight Depth Denoising with Confidence-Aware Diffusion Model
The Chart Excites Me! Exploring How Data Visualization Design Influences Affective Arousal
Method of Attractive Cylinders. Solution for a General Linear Tracking Problem
CORNET: A neurosymbolic approach to learning conditional table formatting rules by example
Site-to-Site Internet Traffic Control
GAZE:Governance-Aware pre-annotation for Zero-shot World Model Environments
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)
PiCANet: Learning Pixel-wise Contextual Attention in ConvNets and Its Application in Saliency Detection
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification
The Bees Algorithm for the Vehicle Routing Problem
A sandbox study proposal for private and distributed health data analysis
Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances
Derivation of the Variational Bayes Equations
New Foggy Object Detecting Model
Scene Graph Based Fusion Network For Image-Text Retrieval
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree
FHE-SQL: Fully Homomorphic Encrypted SQL Database
Big Data Analytics in Humanitarian and Disaster Operations: A Systematic Review
On Decentralized Estimation with Active Queries
Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL
Synchrony vs. Causality in Asynchronous Petri Nets
L'origine de l'objectif est-elle importante? Effets motivationnels d'objectifs autod{é}finis en production
Maximizing diversity in biology and beyond
From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts Routing
Multi-Erasure Locally Recoverable Codes Over Small Fields
Unbalanced Three-Phase Distribution Grid Topology Estimation and Bus Phase Identification
Optimal swimming with body compliance in an overdamped medium
State-of-the-art in speaker recognition
Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets
Assistive Planning in Complex, Dynamic Environments: a Probabilistic Approach
Carleman contraction mapping for a 1D inverse scattering problem with experimental time-dependent data
A Hardware-Aware System for Accelerating Deep Neural Network Optimization
Minimum width for universal approximation using squashable activation functions
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
Good Deep Features to Track: Self-Supervised Feature Extraction and Tracking in Visual Odometry
Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference
Attribute-Based Encryption With Payable Outsourced Decryption Using Blockchain and Responsive Zero Knowledge Proof
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise
Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles
Voice Cloning: Comprehensive Survey
An Overview on Controllable Text Generation via Variational Auto-Encoders
Why AI Safety Requires Uncertainty, Incomplete Preferences, and Non-Archimedean Utilities
DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
Attraction-Based Receding Horizon Path Planning with Temporal Logic Constraints
A note on the asymptotic stability of the Semi-Discrete method for Stochastic Differential Equations
A New Technique for Improving Energy Efficiency in 5G Mm-wave Hybrid Precoding Systems
Certainty Equivalent Control of LQR is Efficient
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study
Regularization of Limited Memory Quasi-Newton Methods for Large-Scale Nonconvex Minimization
Comparative Analysis of Multilingual Text Classification & Identification through Deep Learning and Embedding Visualization
Mutltimodal AI Companion for Interactive Fairytale Co-creation
Modular Machine Learning with Applications to Genetic Circuit Composition
Semantic Operator Prediction and Applications
Minimal Residual Methods for Complex Symmetric, Skew Symmetric, and Skew Hermitian Systems
Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound
Gestop : Customizable Gesture Control of Computer Systems
A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures
Automatic Detection of Pulmonary Embolism using Computational Intelligence
LiveDocs: Crafting Interactive Development Environments From Research Findings
Spatio-temporal cooperative control Method of Highway Ramp Merge Based on Vehicle-road Coordination
Predicting the Industry of Users on Social Media
SGPD Volume Maximization for Community Detection
Optimal Association Strategy of Multi-gateway Wireless Sensor Networks Against Smart Jammers
Weak approximation of stochastic differential equations with sticky boundary conditions
MapBERT: Bitwise Masked Modeling for Real-Time Semantic Mapping Generation
Performance of a Multiple-Access DCSK-CC System over Nakagami-$m$ Fading Channels
Structural Properties of Optimal Test Channels for Distributed Source Coding with Decoder Side Information for Multivariate Gaussian Sources with Square-Error Fidelity
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Generalized and Extended Product Codes
DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
Complexity and hardness of random peaked circuits
Admission Control to Minimize Rejections and Online Set Cover with Repetitions
Provably Small Portfolios for Multiobjective Optimization with Application to Subsidized Facility Location
C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation
Exact and Approximate Conformal Inference in Multiple Dimensions
Low-rank approximation in the Frobenius norm by column and row subset selection
PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection
From direct tagging to Tagging with sentences compression
Fourier smoothed pre-corrected trapezoidal rule for solution of Lippmann-Schwinger integral equation
Automatic Trimap Generation for Image Matting
Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers
Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - AutoML from Basics to State-of-the-Art Techniques
Boosting Nodes for Improving the Spread of Influence
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?
Enhancing DMI Interactions by Integrating Haptic Feedback for Intricate Vibrato Technique
Successful E-Business Systems - Paypal
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images
Uplink Non-Orthogonal Multiple Access with Finite-Alphabet Inputs
Compositional Net Semantics up to Step Net Bisimilarity
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
Data Defenses Against Large Language Models
G-thinker: Big Graph Mining Made Easier and Faster
Unlearning Climate Misinformation in Large Language Models
TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training
Latent Topic Conversational Models
Earth-like planet predictor: A machine learning approach
Identifying the Absorption Bump with Deep Learning
Language Modeling with Highway LSTM
EvE: Exploiting Generative Priors for Radiance Field Enrichment
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood
Constructing Hamiltonian Decompositions of Complete k -Uniform Hypergraphs
Bounded Dijkstra (BD): Search Space Reduction for Expediting Shortest Path Subroutines
TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Decentralized digital twins of complex dynamical systems
Take it or Leave it: Running a Survey when Privacy Comes at a Cost
Graph based adaptive evolutionary algorithm for continuous optimization
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
Understanding Impedance Ratio Criteria for Converter-Based AC Power System
Bounding Embeddings of VC Classes into Maximum Classes
Improved Content Understanding With Effective Use of Multi-task Contrastive Learning
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
Computability and Complexity over the Product Topology of Real Numbers
Transfer Learning for Assessing Heavy Metal Pollution in Seaports Sediments
Semantic Understanding of Scenes through the ADE20K Dataset
Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction
One-Tape Turing Machine Variants and Language Recognition
Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation
Reliability Analysis of Vision Transformers
Shadow Generation for Composite Image in Real-world Scenes
Retrievability in an Integrated Retrieval System: An Extended Study
Learning Multiscale Features Directly FromWaveforms
Limits on representing Boolean functions by linear combinations of simple functions: thresholds, ReLUs, and low-degree polynomials
Blockchain Technology: Core Mechanisms, Evolution, and Future Implementation Challenges
Breaking the Gaussian Barrier: Residual-PAC Privacy for Automatic Privatization
On Large Multimodal Models as Open-World Image Classifiers
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks
Phase-insensitive versus phase-sensitive ultrasound absorption tomography in the frequency domain
A Fast Factorization-based Approach to Robust PCA
Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models
Nash Social Distancing Games with Equity Constraints: How Inequality Aversion Affects the Spread of Epidemics
Categories of Semantic Concepts
Attention-guided Low-light Image Enhancement
Synthesis of Reduced Asymmetric Choice Petri Nets
Enhancing Molecular Property Prediction with Knowledge from Large Language Models
CoAScore: Chain-of-Aspects Prompting for NLG Evaluation
RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generation
landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods
Existence of dissipative solutions to the compressible Navier-Stokes system with potential temperature transport
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs
Power-efficient Sampling Time and Resource Allocation in Cyber Physical Systems with Industrial Application
A Climate Change Vulnerability Assessment Framework: A Spatial Approach
A Survey on Benchmarks of Multimodal Large Language Models
A Bilinear Partially Penalized Immersed Finite Element Method for Elliptic Interface Problems with Multi-Domains and Triple-Junction Points
How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
Maximization Problems Parameterized Using Their Minimization Versions: The Case of Vertex Cover
Copyright Protection for 3D Molecular Structures with Watermarking
Monoidal closure of Grothendieck constructions via Σ-tractable monoidal structures and Dialectica formulas
ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions
Strong convergence order for the scheme of fractional diffusion equation driven by fractional Gaussion noise
Online Learning of Smooth Functions
Temperature diagnostics of the solar atmosphere using SunPy
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet
Continuous Time Graph Processes with Known ERGM Equilibria: Contextual Review, Extensions, and Synthesis
Physical Channel Access (PCA): Time and Frequency Access Methods Emulation in NS-2
Equivariant vector field network for many-body system modeling
EventHDR: from Event to High-Speed HDR Videos and Beyond
Review of the Learning-based Camera and Lidar Simulation Methods for Autonomous Driving Systems
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
Wildfire Risk Prediction: A Review
On iterative methods for solving ill-posed problems modeled by PDE's
CSubBT: A Self-Adjusting Execution Framework for Mobile Manipulation System
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask
RIS-Aided Cell-Free Massive MIMO Systems: Joint Design of Transmit Beamforming and Phase Shifts
Public Constitutional AI
Identifiability assumptions for directed graphical models with feedback
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Learning from Noisy Labels via Dynamic Loss Thresholding
Privacy-Preserving Platform for Transactive Energy Systems
Memtrade: A Disaggregated-Memory Marketplace for Public Clouds
Multi-Stage Residual Hiding for Image-into-Audio Steganography
Advanced Object Detection and Pose Estimation with Hybrid Task Cascade and High-Resolution Networks
Implications on Feature Detection when using the Benefit-Cost Ratio
System Level Evaluation of Network-Controlled Repeaters: Performance Improvement of Serving Cell and Interference Impact on Neighbor Cells
Bounded Distributed Flocking Control of Mobile Nonholonomic Robots
Topological Graphic Passwords And Their Matchings Towards Cryptography
A fourth-order phase-field fracture model: Formulation and numerical solution using a continuous/discontinuous Galerkin method
HistDiST: Histopathological Diffusion-based Stain Transfer
Control barrier function based attack-recovery with provable guarantees
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Scaling laws for nonlinear dynamical models of speech
The Role of Compliance in Heterogeneous Interacting Agents: Data from Observations
A Theory for Coloring Walks in a Digraph
Analytical Solution for Inverse Kinematics
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification
Learning Generative Models for Active Inference using Tensor Networks
ECLYPSE: a Python Framework for Simulation and Emulation of the Cloud-Edge Continuum
Comparing and Combining Lexicase Selection and Novelty Search
Fast Access to Columnar, Hierarchical Data via Code Transformation
Neural Architecture Search over Decentralized Data
Name That Part: 3D Part Segmentation and Naming
A Braided Lambda Calculus
Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies
TardiS: Migrating Containers with RDMA Networks
Interval Graphs are Reconstructible
Optimizing Highway Ramp Merge Safety and Efficiency via Spatio-Temporal Cooperative Control and Vehicle-Road Coordination
The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond
Adaptive Network Coding Schemes for Satellite Communications
Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big.LITTLE asymmetric architectures
Balancing Timeliness and Privacy in Discrete-Time Updating Systems
A Note on Decoding Order in Optimizing Multi-Cell NOMA
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
AI video editing tools. What editors want and how far is AI from delivering?
Image Colorization using U-Net with Skip Connections and Fusion Layer on Landscape Images
Adaptive kernel-density approach for imbalanced binary classification
Monte Carlo Expected Threat (MOCET) Scoring
Constrained RS coding for Low Peak to Average Power Ratio in FBMC - OQAM Systems
Ischemic Stroke Identification Based on EEG and EOG using 1D Convolutional Neural Network and Batch Normalization
Reinforcement Learning in Possibly Nonstationary Environments
Bottoms Up for CHCs: Novel Transformation of Linear Constrained Horn Clauses to Software Verification
Game Theory Models for the Verification of the Collective Behaviour of Autonomous Cars
Towards a Fault-Injection Benchmarking Suite
BachVid: Training-Free Video Generation with Consistent Background and Character
Conditional Entropy based User Selection for Multiuser MIMO Systems
FilMBot: A High-Speed Soft Parallel Robotic Micromanipulator
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution
Like a Researcher Stating Broader Impact For the Very First Time
Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components
Feature Identification and Matching for Hand Hygiene Pose
Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation
High-Order Tensor Recovery with A Tensor U 1 Norm
Impact of LLMs on Team Collaboration in Software Development
Classification of Existing Virtualization Methods Used in Telecommunication Networks
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning
Axe the X in XAI: A Plea for Understandable AI
Variational Inference via Transformations on Distributions
One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking
Computing the exact number of periodic orbits for planar flows
An Efficient Technique for Similarity Identification between Ontologies
Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory (2)
Minimum Latency Submodular Cover in Metrics
Towards realistic statistical models of the grid frequency
Parameterized vertex deletion problems for hereditary graph classes with a block property
Folks in Folksonomies: Social Link Prediction from Shared Metadata
Federated Multi-task Hierarchical Attention Model for Sensor Analytics
Benchmarking Vision-Language and Multimodal Large Language Models in Zero-shot and Few-shot Scenarios: A study on Christian Iconography
Stable Voting and the Splitting of Cycles
A Tour of Unsupervised Deep Learning for Medical Image Analysis
Transfer Learning for Molecular Property Predictions from Small Data Sets
Minmax-Regret k-Sink Location on a Dynamic Tree Network with Uniform Capacities
SilentWood: Private Inference Over Gradient-Boosting Decision Forests
Ultra-Fast Zernike Moments using FFT and GPU
How do correlations shape the landscape of information?
On-the-Fly Adaptation of Source Code Models using Meta-Learning
Non-Variational Quantum Random Access Optimization with Alternating Operator Ansatz
A Stochastic Gradient Method with Linear Convergence Rate for a Class of Non-smooth Non-strongly Convex Optimizations
Improving Code LLM Robustness to Prompt Perturbations via Layer-Aware Model Editing