yusuke1997/dblp-id-title huggingface dataset:
A generalized risk-based approach to segmentation based on hidden Markov models
FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition
Prototype of a robotic system to assist the learning process of English language with text-generation through DNN
Tree Search Network for Sparse Regression
SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification
SMPConv: Self-moving Point Representations for Continuous Convolution
Mind the Gap? Not for SVP Hardness under ETH!
GA-S 3 : Comprehensive Social Network Simulation with Group Agents
Demystifying Algorithmic Complexities and Geometric Review of the 'h'-Index
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Impact of High Penetration of Inverter-based Generation on Electromechanical Wave Propagation in Power Grids
Using Ego-Clusters to Measure Network Effects at LinkedIn
Learning Word Meta-Embeddings by Using Ensembles of Embedding Sets
Beyond Pruning Criteria: The Dominant Role of Fine-Tuning and Adaptive Ratios in Neural Network Robustness
Large language models can rate news outlet credibility
Healthy Lifestyles and Self-Improvement Videos on YouTube: A Thematic Analysis of Teen-Targeted Social Media Content
Characterizing Complex Networks with Forman-Ricci Curvature and Associated Geometric Flows
Learning conformational ensembles of proteins based on backbone geometry
Parallel Discrete Event Simulation with Erlang
Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement
Data adaptation in HANDY economy-ideology model
Compressive Sampling with Known Spectral Energy Density
Research Paper on Transaction-Oriented Simulation In Ad Hoc Grids
Content-Centric Networking Using Anonymous Datagrams
Deep Reinforcement Learning-Based Decision-Making Strategy Considering User Satisfaction Feedback in Demand Response Program
Mcity Data Collection for Automated Vehicles Study
Potential Maximal Clique Algorithms for Perfect Phylogeny Problems
Pattern Division Random Access (PDRA) for M2M Communications with Massive MIMO Systems
On isodual double Toeplitz codes
A Standard-based Open Source IoT Platform: FIWARE
OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Do deep neural networks utilize the weight space efficiently?
SLAyiNG: Towards Queer Language Processing
Image Denoising with a Unified Schattern-p Norm and ℓ q Norm Regularization
Statistical analysis of quality measures for mobile ad hoc networks
Performance evaluation of beacon enabled IEEE 802.15.4 under NS2
Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text
An L 0 -approach to stochastic evolution equations
Beautiful secrets: using aesthetic images to authenticate users
Coherence for rewriting 2-theories
A Robotic 3D Perception System for Operating Room Environment Awareness
Learned Global Optimization for Inverse Scattering Problems - Matching Global Search with Computational Efficiency
Low density majority codes and the problem of graceful degradation
Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems
Hardware Accelerators for Artificial Intelligence
Surrogate modeling of resonant behavior in scattering problems through adaptive rational approximation and sketching
Face Recognition Using Deep Multi-Pose Representations
SALADnet: Self-Attentive multisource Localization in the Ambisonics Domain
Causal Clustering for 1-Factor Measurement Models on Data with Various Types
Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms
The Element Extraction Problem and the Cost of Determinism and Limited Adaptivity in Linear Queries
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices
ColliderML: The First Release of an OpenDataDetector High-Luminosity Physics Benchmark Dataset
CarbonFlex: Enabling Carbon-aware Provisioning and Scheduling for Cloud Clusters
FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment
An augmented Lagrangian preconditioner for the magnetohydrodynamics equations at high Reynolds and coupling numbers
Developing the cyclotactor
Matrix Scaling: a New Heuristic for the Feedback Vertex Set Problem
Distributed Algorithms for Peak Ramp Minimization Problem in Smart Grid
On the Finite Optimal Convergence of Logic-Based Benders' Decomposition in Solving 0-1 Min-max Regret Optimization Problems with Interval Costs
LLM-based User Profile Management for Recommender System
Better Query Graph Selection for Knowledge Base Question Answering
Emergence of Symbols in Neural Networks for Semantic Understanding and Communication
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
"This Applies to the RealWorld": Student Perspectives on Integrating Ethics into a Computer Science Assignment
Maximal Spectral Efficiency of OFDM with Index Modulation under Polynomial Space Complexity
Recurrent Neural Network Based Hybrid Model of Gene Regulatory Network
IcebergHT: High Performance PMEM Hash Tables Through Stability and Low Associativity
Singular Value-based Atmospheric Tomography with Fourier Domain Regularization (SAFR)
An Exploratory Study on Simulated Annealing for Feature Selection in Learning-to-Rank
Authorship clustering using multi-headed recurrent neural networks
The Product of Gaussian Matrices is Close to Gaussian
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Prakriti200: A Questionnaire-Based Dataset of 200 Ayurvedic Prakriti Assessments
Encoding Compositionality in Classical Planning Solutions
Predicting Hurricane Trajectories using a Recurrent Neural Network
Inverse Feature Learning: Feature learning based on Representation Learning of Error
Performance-Barrier Event-Triggered Control of a Class of Reaction-Diffusion PDEs
Stratified Learning: a general-purpose statistical method for improved learning under Covariate Shift
Dvorak-Dell-Grohe-Rattan theorem via an asymptotic argument
Automatic Teaching Platform on Vision Language Retrieval Augmented Generation
Enhancing EmoBot: An In-Depth Analysis of User Satisfaction and Faults in an Emotion-Aware Chatbot
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction
How Susceptible are LLMs to Influence in Prompts?
GeoX-Bench: Benchmarking Cross-View Geo-Localization and Pose Estimation Capabilities of Large Multimodal Models
A New Proposed Technique to Improve Software Regression Testing Cost
Constructions of Maximum Distance Separable Symbol-Pair Codes Using Cyclic and Constacyclic Codes
Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms
Proof Theory at Work: Complexity Analysis of Term Rewrite Systems
Stability Analysis of Adaptive Model Predictive Control Using the Circle and Tsypkin Criteria
Physics-based deep kernel learning for parameter estimation in high dimensional PDEs
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers
StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns
A Predictive Model for Music Based on Learned Interval Representations
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce
tomoCAM: Fast Model-based Iterative Reconstruction via GPU Acceleration and Non-Uniform Fast Fourier Transforms
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation
A New Approach to Multilinear Dynamical Systems and Control
The Capacity Of Two Way Relay Channel
Some machine learning schemes for high-dimensional nonlinear PDEs
Baba is LLM: Reasoning in a Game with Dynamic Rules
A General Architecture for Heterogeneous Language Engineering and Projectional Editor Support
User Association in Dense mmWave Networks based on Rate Requirements
Deep Learning for Spatio-Temporal Fusion in Land Surface Temperature Estimation: A Comprehensive Survey, Experimental Analysis, and Future Trends
Enhancing neural-network performance via assortativity
Spartan Networks: Self-Feature-Squeezing Neural Networks for increased robustness in adversarial settings
On Maximal Layers Of Random Orders
Perception-aware receding horizon trajectory planning for multicopters with visual-inertial odometry
Modular counting of subgraphs: Matchings, matching-splittable graphs, and paths
Bayesian Optimization and Convolutional Neural Networks for Zernike-Based Wavefront Correction in High Harmonic Generation
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Detecting Abnormal Health Conditions in Smart Home Using a Drone
Pose Estimation and Tracking for ASIST
LearnWeb-OER: Improving Accessibility of Open Educational Resources
Interpretable travel distance on the county-wise COVID-19 by sequence to sequence with attention
Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld
A Formal Framework for Mobile Robot Patrolling in Arbitrary Environments with Adversaries
Beyond matroids: Secretary Problem and Prophet Inequality with general constraints
Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems
A CRF Based POS Tagger for Code-mixed Indian Social Media Text
Coherence, Belief Expansion and Bayesian Networks
Multilinear subspace learning for person re-identification based fusion of high order tensor features
Image In painting Applied to Art Completing Escher's Print Gallery
Deep learning predicts total knee replacement from magnetic resonance images
Rectilinear convex hull with minimum area
Error estimates of residual minimization using neural networks for linear PDEs
Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models
Complete algorithms for algebraic strongest postconditions and weakest preconditions in polynomial ode's
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes
Generalization Gaps in Political Fake News Detection: An Empirical Study on the LIAR Dataset
A global-in-time domain decomposition method for the coupled nonlinear Stokes and Darcy flows
A Type System for Parallel Components
Power Allocation in the High SNR Regime for A Multicast Cell with Regenerative Network Coding
Caching-Aided Coded Multicasting with Multiple Random Requests
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation
Asaga: Asynchronous Parallel Saga
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Agentic 3D Scene Generation with Spatially Contextualized VLMs
Analysis of permanence time in emotional states: A case study using educational software
Median regression with differential privacy
OrderSum: Semantic Sentence Ordering for Extractive Summarization
Causality-Aided Trade-off Analysis for Machine Learning Fairness
Environmental and Safety Impacts of Vehicle-to-Everything Enabled Applications: A Review of State-of-the-Art Studies
Binaural Sound Source Localization based on Direct-Path Relative Transfer Function
Non-Transitivity of the Win Ratio and the Area Under the Receiver Operating Characteristics Curve (AUC): a case for evaluating the strength of stochastic comparisons
Repr Types: One Abstraction to Rule Them All
Fronthaul Compression Control for shared Fronthaul Access Networks
Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys
Designing an adaptive room for captivating the collective consciousness from internal states
Meta-learning optimizes predictions of missing links in real-world networks
Semantically Sensible Video Captioning (SSVC)
Histoires Morales: A French Dataset for Assessing Moral Alignment
Unlocking the Potential of Diffusion Language Models through Template Infilling
Boosting Rectilinear Steiner Minimum Tree Algorithms with Augmented Bounding Volume Hierarchy
Edge Computing Enabled Smart Cities: A Comprehensive Survey
Deep learning and the Schrödinger equation
Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts
The Maximin Share Dominance Relation
Optimal Size-Aware Dispatching Rules via Value Iteration and Some Numerical Investigations
Implementation of Self-Organizing Network (SON) on Cellular Technology base on Big Data Analytic
INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding
Pose Guided Person Image Generation with Hidden p-Norm Regression
Geodesics using Waves: Computing Distances using Wave Propagation
Estimation of spatially varying parameters with application to hyperbolic SPDEs
Discrete geometric analysis of message passing algorithm on graphs
Bisimilarity of Pushdown Systems is Nonelementary
Testing performance with and without Block Low Rank Compression in MUMPS and the new PaStiX 6.0 for JOREK nonlinear MHD simulations
Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers
An Automated Startup Evaluation Pipeline: Startup Success Forecasting Framework (SSFF)
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence
Exploring Low-light Object Detection Techniques
Theoretical analysis and computation of the sample Frechet mean for sets of large graphs based on spectral information
Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity
Unit Commitment using Nearest Neighbor as a Short-Term Proxy
Divide and Conquer: Recovering Contextual Information of Behaviors in Android Apps around Limited-quantity Audit Logs
Automatic optimal-rate convergence of randomized nets using median-of-means
Forbidden formations in 0-1 matrices
Safe In-Context Reinforcement Learning
Combining Textual and Spectral Features for Robust Classification of Pilot Communications
IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations
Behavioral Model For Live Detection of Apps Based Attack
Data-driven local operator finding for reduced-order modelling of plasma systems: I. Concept and verifications
Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking
Beyond the Elementary Representations of Program Invariants over Algebraic Data Types
A Response to: A Note on "Privacy Preserving n-Party Scalar Product Protocol"
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting
Lower Bounds on Learning Pauli Channels
Comparing phonemes and visemes with DNN-based lipreading
Knowledge Distillation Under Ideal Joint Classifier Assumption
EMA-SAM: Exponential Moving-average for SAM-based PTMC Segmentation
Pyramid Feature Alignment Network for Video Deblurring
Quantum Adiabatic Evolution for Global Optimization in Big Data
Shape Constraints in Symbolic Regression using Penalized Least Squares
Learning with an Evolving Class Ontology
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning
Model Learning for Look-ahead Exploration in Continuous Control
Relatedness in regional development: in search of the right specification
I$\heartsuit$LA: Compilable Markdown for Linear Algebra
NeuralMultiling: A Novel Neural Architecture Search for Smartphone based Multilingual Speaker Verification
Stability Analysis of Distributed Estimators for Large-Scale Interconnected Systems: Time-Varying and Time-Invariant Cases
Predicting Single-cell Drug Sensitivity by Adaptive Weighted Feature for Adversarial Multi-source Domain Adaptation
Analytic estimation of the MMC sub-module capacitor voltage ripple for balanced and unbalanced AC grid conditions
Improving the Performance of K-Means for Color Quantization
The Effect of Explainable AI-based Decision Support on Human Task Performance: A Meta-Analysis
The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data
The collectively-tuned critical state underlies "collective minds"
b-Bit Minwise Hashing
Detection and skeletonization of single neurons and tracer injections using topological methods
Transferable Adversarial Robustness using Adversarially Trained Autoencoders
Path Planning on Multi-level Point Cloud with a Weighted Traversability Graph
On OBDDs for CNFs of bounded treewidth
Link Selection for Secure Cooperative Networks with Buffer-Aided Relaying
Disease Informed Neural Networks
Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck
Thinging for Computational Thinking
Early Stopping without a Validation Set
Quantifying the ill-conditioning of analytic continuation
KF-LAX: Kronecker-factored curvature estimation for control variate optimization in reinforcement learning
Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium Ion Batteries, Part-3: Experimental Results
Fluctuation in Peer-to-Peer Networks: Mitigating Its Effect on DHT Performance
MoD2T: Model-Data-Driven Motion-Static Object Tracking Method
SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
From Bias To Improved Prompts: A Case Study of Bias Mitigation of Clone Detection Models
HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition
$ε$-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains
Hybrid Spectral Denoising Transformer with Learnable Query
REACT: REActive resilience for critical infrastructures using graph-Coloring Techniques
Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence
Memory Remains: Understanding Collective Memory in the Digital Age
L 2 -optimal Reduced-order Modeling Using Parameter-separable Forms
Bisimulations for Nondeterministic Labeled Markov Processes
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System
A Review of automatic differentiation and its efficient implementation
Approximation Algorithms for Constrained Knapsack Problems
GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
Learning Sound Events From Webly Labeled Data
MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification
Posture-Driven Action Intent Inference for Playing style and Fatigue Assessment
Model-Checking of Linear-Time Properties in Multi-Valued Systems
A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture
KeySpace: Public Key Infrastructure Considerations in Interplanetary Networks
Near Capacity Irregular Turbo Code
Sweeping Arrangements of Non-Piercing Curves in Plane
Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization
A Globally Convergent Newton Method for Polynomials
A Compact Representation for Trips over Networks built on self-indexes
Efficient Decremental Learning Algorithms for Broad Learning System
Flying Capacitor Cell Equalization for Li-ion Automotive Battery Stacks
A semi-autonomous approach to connecting proprietary EHR standards to FHIR
Protein Structure Prediction by Protein Alignments
A hybrid supervised/unsupervised machine learning approach to solar flare prediction
Quantum property testing for bounded-degree graphs
Clustering Digital Assets Using Path Signatures: Application to Portfolio Construction
Tag-Cloud Drawing: Algorithms for Cloud Visualization
On secure UAV-aided ISCC systems
Artificial intelligence in psychology research
Test-Time Adaptation for Out-of-distributed Image Inpainting
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
Standing on the Shoulders of Predecessors: Meta-Knowledge Transfer for Knowledge Graphs
Document Clustering using Sequential Information Bottleneck Method
Increasing Trust in Language Models through the Reuse of Verified Circuits
On the weight distributions of several classes of cyclic codes from APN monomials
End-to-End Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Tightness-aware Evaluation Protocol for Scene Text Detection
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users
Brevity is the soul of wit: Pruning long files for code generation
Structural Health Monitoring system with Narrowband IoT and MEMS sensors
Efficient Service Broker Policy For Large-Scale Cloud Environments
Label it be! A large-scale study of issue labeling in modern open-source repositories
Stable State Space SubSpace (S 5 ) Identification
Panoptic Segmentation: A Review
Automatic White Blood Cell Measuring Aid for Medical Diagnosis
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks
Fancy Man Lauches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction
Chinese Word Segmentation with Heterogeneous Graph Neural Network
Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
The Power of Reuse: A Multi-Scale Transformer Model for Structural Dynamic Segmentation in Symbolic Music Generation
Jacobian-free explicit multiderivative Runge-Kutta methods for hyperbolic conservation laws
Geometry of Information: classical and quantum aspects
A Skeleton-based Approach For Rock Crack Detection Towards A Climbing Robot Application
Software Engineering for Self-Adaptive Robotics: A Research Agenda
Separating OR, SUM, and XOR Circuits
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
Real-Time Magnetic Tracking and Diagnosis of COVID-19 via Machine Learning
Optimal Nonparametric Inference under Quantization
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons
Replay Debugging of Complex Real-Time Systems: Experiences from Two Industrial Case Studies
X-Ramanujan Graphs
Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification
Energy-Gain Control of Time-Varying Systems: Receding Horizon Approximation
Computational Analysis of Subscapularis Tears and Pectoralis Major Transfers on Muscular Activity
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
The inductive theory of natural selection
ToolACE-R: Tool Learning with Adaptive Self-Refinement
Biased Aggregation, Rollout, and Enhanced Policy Improvement for Reinforcement Learning
Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning