yusuke1997/dblp-id-title huggingface dataset:
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
On the Interplay between Human Label Variation and Model Fairness
On the Efficacy of Metrics to Describe Adversarial Attacks
Stochastic Service Guarantee Analysis Based on Time-Domain Models
Latent Translation: Crossing Modalities by Bridging Generative Models
Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
Drone-based AI and 3D Reconstruction for Digital Twin Augmentation
The Susceptibility of Example-Based Explainability Methods to Class Outliers
Adaptive Online Learning with Varying Norms
As time goes by: Constraint Handling Rules - A survey of CHR research from 1998 to 2007
Enhancing Higher Education with Generative AI: A Multimodal Approach for Personalised Learning
Dynamic Solutions for Hybrid Quantum-HPC Resource Allocation
Demonstration of an AI-driven workflow for dynamic x-ray spectroscopy
5-Approximation for $\mathcal{H}$-Treewidth Essentially as Fast as $\mathcal{H}$-Deletion Parameterized by Solution Size
Some Properties of the Nash Equilibrium in 2×2 Zero-Sum Games
Unifying Low Dimensional Observations in Deep Learning Through the Deep Linear Unconstrained Feature Model
Complexity and (un)decidability of fragments of 〈 ω ω λ ; × 〉
Maximum Spanning Tree Model on Personalized Web Based Collaborative Learning in Web 3.0
Two Kinds of Recall
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction
Using Mobile Phone Data for Electricity Infrastructure Planning
Code Building Genetic Programming
On Transferring Transferability: Towards a Theory for Size Generalization
CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities
Advanced Multimodal Deep Learning Architecture for Image-Text Matching
Xplique: A Deep Learning Explainability Toolbox
MacWilliams type identities for some new $m$-spotty weight enumerators over finite commutative Frobenius rings
Incorporating structural uncertainty in causal decision making
GAN-CNMP: An Interactive Generative Drawing Tool
Designing Intelligent Instruments
Decolonial AI Alignment: Viśesadharma, Argument, and Artistic Expression
Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage
Dense Power-law Networks and Simplicial Complexes
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
Bounded Model Checking of State-Space Digital Systems: The Impact of Finite Word-Length Effects on the Implementation of Fixed-Point Digital Controllers Based on State-Space Modeling
StyleBreak: Revealing Alignment Vulnerabilities in Large Audio-Language Models via Style-Aware Audio Jailbreak
Application of the war of attrition game to the analysis of intellectual property disputes
Aligning MAGMA by Few-Shot Learning and Finetuning
Fact-checking AI-generated news reports: Can LLMs catch their own lies?
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors
Rational series and asymptotic expansion for linear homogeneous divide-and-conquer recurrences
Self-rationalization improves LLM as a fine-grained judge
A polynomial regularity lemma for semi-algebraic hypergraphs and its applications in geometry and property testing
Explainable Learning with Gaussian Processes
ArtReg: Visuo-Tactile based Pose Tracking and Manipulation of Unseen Articulated Objects
A Role-Aware Multi-Agent Framework for Financial Education Question Answering with LLMs
General Tasks and Extension-Based Proofs
A voxel-level approach to brain age prediction: A method to assess regional brain aging
New perspectives on the natural gradient method
MLOps Spanning Whole Machine Learning Life Cycle: A Survey
Socially Cognizant Robotics for a Technology Enhanced Society
Canonical scale separation in two-dimensional incompressible hydrodynamics
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
Automated Data-Driven Model Extraction and Validation of Inverter Dynamics with Grid Support Function
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis
Les valeurs linguistiques et culturelles des documents numériques et leur traitement sémantique dans les systèmes d'information électroniques
Dense Pruning of Pointwise Convolutions in the Frequency Domain
Circuit Width Estimation via Effect Typing and Linear Dependency (Long Version)
Maximizing Indoor Wireless Coverage Using UAVs Equipped with Directional Antennas
Action and Perception as Divergence Minimization
ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language
Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks
Strong Solutions of the Fuzzy Linear Systems
Advancing Interpretability in Text Classification through Prototype Learning
Semi-supervised classification of bird vocalizations
Robustness of quantum algorithms against coherent control errors
BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation
Prioritized Constraints in Optimization-Based Control
Analysis of Selective-Decode and Forward Relaying Protocol Over kappa-mu Fading Channel Distribution
Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998)
Abnormal Trading Detection in the NFT Market
Automating biomedical data science through tree-based pipeline optimization
FO and MSO approach to Some Graph Problems: Approximation and Poly time Results
A Novel Framework for Honey-X Deception in Zero-Sum Games
Controlling the Perceived Sound Quality for Dialogue Enhancement with Deep Learning
FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption
Improving Blockchain Consistency by Assigning Weights to Random Blocks
Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
A General Framework for the Semantics of Type Theory
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems
Estimating electricity saving-potential in small offices using adaptive thermal comfort
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
Formal Semantics of the Language Cypher
PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation
WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations
Grouping Search Results with Product Graphs in E-commerce Platforms
Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
Overlapping Communities Detection via Measure Space Embedding
Augmenting Image Warping-Based Remote Volume Rendering with Ray Tracing
Maximum entropy methods for texture synthesis: theory and practice
Are most sentences unique? An empirical examination of Chomskyan claims
Machine Learning for automatic identification of new minor species
A high-order matrix-free adaptive solver for the shallow water equations with irregular bathymetry
Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification
On the Pareto Front of Physics-Informed Neural Networks
Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism
Study of Distributed Conjugate Gradient Strategies for Distributed Estimation Over Sensor Networks
A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation
Existence results and numerical method of fourth order convergence for solving a nonlinear triharmonic equation
How does Module Tracking for Agrivoltaics Differ from Standard Photovoltaics? Performance & Technoeconomic Implications
Some New Non-binary Quantum Codes from One-generator Quasi-cyclic Codes
Characterization of Request Sequences for List Accessing Problem and New Theoretical Results for MTF Algorithm
Non-adaptive and two-stage coding over the Z-channel
The Game of Tetris in Machine Learning
The use of deep learning in image segmentation, classification and detection
Feasibility, Opportunities, and Challenges of Utilizing AI for Collaborative Qualitative Analysis
Models Coupling Urban Growth and Transportation Network Growth : An Algorithmic Systematic Review Approach
Orthogonal Precoding for Ultra Reliable Wireless Communication Links
Arithmetical subword complexity of automatic sequences
Inquisitive Logic as an Epistemic Logic of Knowing How
ASLSL: Adaptive shared latent structure learning with incomplete multi-modal physiological data for multi-dimensional emotional feature selection
A non-ergodic framework for understanding emergent capabilities in Large Language Models
Channel Orthogonalization with Reconfigurable Surfaces: General Models, Theoretical Limits, and Effective Configuration
AURORA: Autonomous Updating of ROM and Controller via Recursive Adaptation
SCALLER: Standard Cell Assembled and Local Layout Effect-based Ring Oscillators
A Qualitative Markov Assumption and its Implications for Belief Change
Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity
The Call of the Crowd: Event Participation in Location-based Social Services
A Heuristic EDF Uplink Scheduler for Real Time Application in WiMAX Communication
Informal specification-based performance evaluation of security protocols
No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
A Subsequence Approach to Topological Data Analysis for Irregularly-Spaced Time Series
Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations
The Recovery of λ from a Hilbert Polynomial
Minimizing Fuzzy Interpretations in Fuzzy Description Logics by Using Crisp Bisimulations
SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior
Utilizing VQ-VAE for End-to-End Health Indicator Generation in Predicting Rolling Bearing RUL
ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
Towards Understanding Egyptian Arabic Dialogues
The use of vocal biomarkers in the detection of Parkinson's disease: a robust statistical performance comparison of classic machine learning models
The landscape of NeuroImage-ing research
AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation
Confidence Intervals for Testing Disparate Impact in Fair Learning
Parallel Test-Time Scaling for Latent Reasoning Models
Classification of Dermoscopy Images using Deep Learning
Requirements Traceability: Recovering and Visualizing Traceability Links Between Requirements and Source Code of Object-oriented Software Systems
A Systematic Approach to Computing the Manipulator Jacobian and Hessian using the Elementary Transform Sequence
The Perceptions of Software Engineers Concerning the Utilization of Bots in the OSS Development Process: An Exploratory Survey
Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning
Group Testing under Superspreading Dynamics
The Lossy Horizon: Error-Bounded Predictive Coding for Lossy Text Compression (Episode I)
Next-best-view Regression using a 3D Convolutional Neural Network
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond
Conditional Progressive Generative Adversarial Network for satellite image generation
Visualizing Distributed Traces in Aggregate
DMLR: Data-centric Machine Learning Research - Past, Present and Future
Fiber Nonlinearity Mitigation in Coherent Optical Systems
Agent for User: Testing Multi-User Interactive Features in TikTok
From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters
Model-checking in the Foundations of Algorithmic Law and the Case of Regulation 561
Next Steps for Human-Centered Generative AI: A Technical Perspective
Machine learning a manifold
Secrecy Rate Region of Wiretap Interference Channels with Energy Harvesting Receivers
Statistical Learnability of Generalized Additive Models based on Total Variation Regularization
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance
Timed Automata Semantics for Analyzing Creol
The future of hearing aid technology
Lassoing Line Outages in the Smart Power Grid
Knowledge Combination in Graphical Multiagent Model
Human-centered manipulation and navigation with Robot DE NIRO
Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
Diversification as Risk Minimization
Integrating Explainable AI for Energy Efficient Open Radio Access Networks
Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data
Extending DLR with Labelled Tuples, Projections, Functional Dependencies and Objectification (full version)
Classification and Powerlaws: The Logarithmic Transformation
Variational Autoencoded Multivariate Spatial Fay-Herriot Models
Intrusion detection in computer systems by using artificial neural networks with Deep Learning approaches
Iterative Scaling Algorithm for Channels
An Efficient Pruning Process with Locality Aware Exploration and Dynamic Graph Editing for Subgraph Matching
Improving On-policy Learning with Statistical Reward Accumulation
Near-Linear Time Projection onto the 𝓁 1, ∞ Ball; Application to Sparse Autoencoders
Safety case template for frontier AI: A cyber inability argument
Analysis of Stochastic Service Guarantees in Communication Networks: A Basic Calculus
Keeping Up With the Winner! Targeted Advertisement to Communities in Social Networks
Elliptic Interface Problem approximated by CutFEM: II. A posteriori error analysis based on equilibrated fluxes
An Empirical Comparison of Parsing Methods for Stanford Dependencies
Complexity in human transportation networks: A comparative analysis of worldwide air transportation and global cargo ship movements
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception
Minimal Economic Distributed Computing
Practical Design of Probabilistic Constellation Shaping for Physical Layer Security in Visible Light Communications
Skydiving Technique Analysis from a Control Engineering Perspective: Developing a Tool for Aiding Motor Learning
Halu-J: Critique-Based Hallucination Judge
ASTROMER: A transformer-based embedding for the representation of light curves
NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search over Local 3D Data
A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid
Towards a Privacy-Preserving Dispute Resolution Protocol on Ethereum
KDAS3: Knowledge distillation via Attention Supervision, and Symmetrical structure guiding for Polyp Segmentation
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend
A Bootstrap Theory: the SEMAT Kernel Itself as Runnable Software
LINE: Public-key encryption
Twist: Sound Reasoning for Purity and Entanglement in Quantum Programs
Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem
SeeTree - A modular, open-source system for tree detection and orchard localization
Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning
TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image Denoising
PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers
Does Capital Dream of Artificial Labour?
What is Meant by AGI? On the Definition of Artificial General Intelligence
GSTM-HMU: Generative Spatio-Temporal Modeling for Human Mobility Understanding
A three-dimensional approach to Visual Speech Recognition using Discrete Cosine Transforms
Sequential products in effect categories
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
A new method for identifying weather-induced power system stress using shadow prices
Cryogenic Neuromorphic Hardware
LLM-Enhanced Rapid-Reflex Async-Reflect Embodied Agent for Real-Time Decision-Making in Dynamically Changing Environments
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
Automatic Pipeline Provisioning
Triggering Dark Showers with Conditional Dual Auto-Encoders
Effective Backscatter Approximation for Photometry in Murky Water
Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs
RED CoMETS: An ensemble classifier for symbolically represented multivariate time series
AI system for fetal ultrasound in low-resource settings
The Societal Response to Potentially Sentient AI
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation
Importance Weighting Approach in Kernel Bayes' Rule
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition
Tracking of Intermittent and Moving Speakers : Dataset and Metrics
A three-person chess-like game without Nash equilibria
A Class of Automatic Sequences
Analog Secure Distributed Matrix Multiplication
Unforgettable Generalization in Language Models
Direct-dynamical entanglement-discord relations
SafeComp: Protocol For Certifying Cloud Computations Integrity
LEDDB: LOFAR Epoch of Reionization Diagnostic Database
A Real-Time Co-simulation Testbed for EV Charging and Smart Grid Security
"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants
Regulating human control over autonomous systems
Numerical analysis of a wave equation for lossy media obeying a frequency power law
Fractional Fourier Domain PAPR Reduction
Polynomial Chaos Expanded Gaussian Process
Self-consistent Validation for Machine Learning Electronic Structure
Sequence to Sequence with Attention for Influenza Prevalence Prediction using Google Trends
When, why and how to test spreadsheets
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking
GEMSEC: Graph Embedding with Self Clustering
Audio style transfer
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation
Comprehending Kademlia Routing - A Theoretical Framework for the Hop Count Distribution
First-order methods and automatic differentiation: A multi-step systems identification perspective
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model
ReLaX: Reasoning with Latent Exploration for Large Reasoning Models
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
EAD: An EEG Adapter for Automated Classification
Topological Analysis and Synthesis of Structures related to Certain Classes of K-Geodetic Computer Networks
An Image Encryption Algorithm Based on Chaotic Maps and Discrete Linear Chirp Transform
GPBiLQ and GPQMR: Two iterative methods for unsymmetric partitioned linear systems
Scheme-theoretic Approach to Computational Complexity II. The Separation of P and NP over C, R, and Z
NMM-HRI: Natural Multi-modal Human-Robot Interaction with Voice and Deictic Posture via Large Language Model
On differentiable local bounds preserving stabilization for Euler equations
Towards Connected Smart Work Zones: Advancing Work Zone Management through Improved Connectivity
A cry for help: Early detection of brain injury in newborns
Retractions of Types with Many Atoms
Design and fabrication of ultrasound linear array transducer used in ultrasound endoscope
Demand-Flow of Agents with Gross-Substitute Valuations
VisionCoder: Empowering Multi-Agent Auto-Programming for Image Processing with Hybrid LLMs
An ontological lens on attack trees: Toward adequacy and interoperability
DSVO: Direct Stereo Visual Odometry
Data Generation for Testing Complex Queries
Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification
Retinal OCT disease classification with variational autoencoder regularization
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy
Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning
Drum-to-Vocal Percussion Sound Conversion and Its Evaluation Methodology
SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments
Direct source and early reflections localization using deep deconvolution network under reverbrate environment
Word Sense Induction with Knowledge Distillation from BERT
An Interdisciplinary and Cross-Task Review on Missing Data Imputation
S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning
Classification of one family of 3R positioning Manipulators
Guided Depth Upsampling for Precise Mapping of Urban Environments
FERMI-ML: A Flexible and Resource-Efficient Memory-In-Situ SRAM Macro for TinyML acceleration
Leveraging Large Language Models for Enhanced Process Model Comprehension
Girth-12 Quasi-Cyclic LDPC Codes with Consecutive Lengths
A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
New Result on Interception of Stationary Targets at Arbitrary Time-Varying Velocity
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
GNNs as Predictors of Agentic Workflow Performances
Power System Transient Modeling and Simulation using Integrated Circuit
Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation
AI Makes You Smarter, But None The Wiser: The Disconnect Between Performance and Metacognition
Adaptive Neural Control for a Class of Stochastic Nonlinear Systems with Unknown Parameters, Unknown Nonlinear Functions and Stochastic Disturbances
Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume
On infinite guarded recursive specifications in process algebra