yusuke1997/dblp-id-title huggingface dataset:
An approach based on the geometric mean of basic quantitative and qualitative bibliometric indicators to evaluate and analyse the research performance of countries and institutions
A spectral boundary element method for acoustic interference problems
Analyzing the Impact of Cognitive Load in Evaluating Gaze-based Typing
Evolving MultiAlgebras unify all usual sequential computation models
Pileup mitigation at the Large Hadron Collider with Graph Neural Networks
On the error exponents of binary quantum state discrimination with composite hypotheses
Distributed DTX Alignment with Memory
Py-Feat: Python Facial Expression Analysis Toolbox
IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization
A data-centric deep learning approach to airway segmentation
4th PVUW MeViS 3rd Place Report: Sa2VA
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Light over Heavy: Automated Performance Requirements Quantification with Linguistic Inducement
Efficient methods for computing observation impact in 4D-Var data assimilation
PrivacyGuard: A Modular Framework for Privacy Auditing in Machine Learning
DiSPEL: Distributed Security Policy Enforcement for Bus-based SoC
Optimal decremental connectivity in planar graphs
The Gram-Charlier A Series based Extended Rule-of-Thumb for Bandwidth Selection in Univariate and Multivariate Kernel Density Estimations
Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support
ExpressPass: End-to-End Credit-based Congestion Control for Datacenters
A New Perspective on Machine Learning: How to do Perfect Supervised Learning
Continual Optimization with Symmetry Teleportation for Multi-Task Learning
Spectral Feature Extraction for Robust Network Intrusion Detection Using MFCCs
Speeding Up Action Recognition Using Dynamic Accumulation of Residuals in Compressed Domain
Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment
Predicting Job Titles from Job Descriptions with Multi-label Text Classification
A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling
VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation
Mapping the evolution of scientific ideas
MoRPI: Mobile Robot Pure Inertial Navigation
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Identification of Seed Cells in Multispectral Images for GrowCut Segmentation
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search
The Power of One: A Single Example is All it Takes for Segmentation in VLMs
Over-the-Air Computation Aided Federated Learning with the Aggregation of Normalized Gradient
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models
Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data
Development of an automated Red Light Violation Detection System (RLVDS) for Indian vehicles
Scene-adaptive Coded Apertures Imaging
Neural Networks for Modeling Source Code Edits
On Multiquantum Bits, Segre Embeddings and Coxeter Chambers
Markovian Network Interdiction and the Four Color Theorem
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems
SDPO: Importance-Sampled Direct Preference Optimization for Stable Diffusion Training
On boundedness of zeros of the independence polynomial of tori
Decomposing Natural Logic Inferences in Neural NLI
A Probabilistic Representation for Dynamic Movement Primitives
The collaboration behavior of top scientists
Don't Persist All : Efficient Persistent Data Structures
SmartCoAuth: Smart-Contract privacy preservation mechanism on querying sensitive records in the cloud
Visual Features for Context-Aware Speech Recognition
Invariant Priors for Bayesian Quadrature
Users' traffic on two-sided Internet platforms. Qualitative dynamics
The SysML/KAOS Domain Modeling Approach
From ORAN to Cell-Free RAN: Architecture, Performance Analysis, Testbeds and Trials
A 120 lines code for isogeometric topology optimization and its extension to 3D in MATLAB
DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models
Distributed computation of homology using harmonics
Reinforcement Learning Optimizes Power Dispatch in Decentralized Power Grid
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation
My Reflections on the First Man vs. Machine No-Limit Texas Hold 'em Competition
A Novel Neural-symbolic System under Statistical Relational Learning
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels
A Novel Mathematical Model for the Unique Shortest Path Routing Problem
QSeer: A Quantum-Inspired Graph Neural Network for Parameter Initialization in Quantum Approximate Optimization Algorithm Circuits
SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Models
Complete and bi-continuous invariant of protein backbones under rigid motion
WENO interpolations and reconstructions using data bounded polynomial approximation
Adaptive Preference Optimization with Uncertainty-aware Utility Anchor
A Coverage Monitoring algorithm based on Learning Automata for Wireless Sensor Networks
On the Hessian of Shape Matching Energy
Unsupervised Learning and Representation of Mandarin Tonal Categories by a Generative CNN
Data-Driven Wide-Area Control
Question Difficulty Ranking for Multiple-Choice Reading Comprehension
Can Offline Reinforcement Learning Help Natural Language Understanding?
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
Multimodal Lengthy Videos Retrieval Framework and Evaluation Metric
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer
Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors
Omnidirectional vision sensors based on catadioptric systems with discrete infrared photoreceptors for swarm robotics
WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition
Some Like it Hoax: Automated Fake News Detection in Social Networks
Detection of asteroid trails in Hubble Space Telescope images using Deep Learning
NeuralFusion: Neural Volumetric Rendering under Human-object Interactions
WaveLLDM: Design and Development of a Lightweight Latent Diffusion Model for Speech Enhancement and Restoration
The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI
Randomized Overdrive Neural Networks
Order Conditions for Nonlinearly Partitioned Runge-Kutta Methods
STANCE: Locomotion Adaptation over Soft Terrain
Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
Tensor Moments of Gaussian Mixture Models: Theory and Applications
Feedback control for distributed ledgers: An attack mitigation policy for DAG-based DLTs
Mask 2 DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation
An Air-Gap Element for the Isogeometric Space-Time-Simulation of Electric Machines
Domain-Adaptive Transformer for Data-Efficient Glioma Segmentation in Sub-Saharan MRI
Fuzzy informer homed routing protocol for wireless sensor network
Skeletons Matter: Dynamic Data Augmentation for Text-to-Query
Learning to Navigate for Fine-grained Classification
HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States
Probabilistic forecasting approaches for extreme NO 2 episodes: a comparison of models
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data
An Exponential Separation Between Randomized and Deterministic Complexity in the LOCAL Model
Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization
On the Complexity of Exchanging
Equivariant Graph Neural Networks for Charged Particle Tracking
Comparison between security majors in virtual machine and linux containers
Online Learning in Supply-Chain Games
A Sysmon Incremental Learning System for Ransomware Analysis and Detection
JAI-1: A Thai-Centric Large Language Model
Continuous Compliance using Calculated Event Log Layers
Kolmogorov-Arnold Graph Neural Networks
Neural Network Topologies for Sparse Training
Energy Harvesting Based Secure Two-Way Communication Using an Untrusted Relay
KAN See Your Face
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis
WiGest: A Ubiquitous WiFi-based Gesture Recognition System
Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning
Open-book Video Captioning with Retrieve-Copy-Generate Network
A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise
Leveraging Language Identification to Enhance Code-Mixed Text Classification
Solving Recurrence Relations using Machine Learning, with Application to Cost Analysis
Bit-level Parallelization of 3DES Encryption on GPU
Better LLM Reasoning via Dual-Play
Lex-Partitioning: A New Option for BDD Search
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems
Invariance of the spark, NSP order and RIP order under elementary transformations of matrices
Practical Range Aggregation, Selection and Set Maintenance Techniques
LLM Reasoning for Cold-Start Item Recommendation
Uniformly accurate splitting schemes for the Benjamin-Bona-Mahony equation with dispersive parameter
Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition
Probing the limit of hydrologic predictability with the Transformer network
How Reinforcement Learning After Next-Token Prediction Facilitates Learning
New spectral bounds on the chromatic number encompassing all eigenvalues of the adjacency matrix
In Defense of Feature Mimicking for Knowledge Distillation
Causal Discovery with Stage Variables for Health Time Series
Handling Imbalanced Data: A Case Study for Binary Class Problems
Proportional Budget Allocations: A Systematization
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters
Access Patterns for Robots and Humans in Web Archives
Enhancing Evolutionary Solver Efficiency for NP Hard Single Machine Scheduling Problems
AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model
Rule Learning by Modularity
MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation
Managing Information Overload in Large-Scale Distributed Mixed-Reality Meetings
Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms
Imitation Learning of Correlated Policies in Stackelberg Games
Correlated Bandits for Dynamic Pricing via the ARC algorithm
Hypergraph Link Prediction via Hyperedge Copying
SAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm
WaveletGaussian: Wavelet-domain Diffusion for Sparse-view 3D Gaussian Object Reconstruction
Synthetic outlier generation for anomaly detection in autonomous driving
Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion
Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays
Identification of parameters underlying emotions and a classification of emotions
A State of the Art on Recent Progress and Emerging Challenges on Energy Transfer Between Vibrating Modes Under an External Mechanical Force With Time-Varying Frequency From 2020 to 2025
Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior Optimal Solution Sampling
Are Direct Links Necessary in RVFL NNs for Regression?
Dividing Indivisible Items for the Benefit of All: It is Hard to Be Fair Without Social Awareness
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach
Characterizing Truthful Multi-Armed Bandit Mechanisms
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation
Quasi-optimal mesh generation for the virtual element method: A fully adaptive remeshing procedure
Efficient Auctions With Common Values
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning
Evaluation of isolation design flow (IDF) for Single Chip Cryptography (SCC) application
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study
A Novel Decoupled LVRT Control Strategy for Transient Voltage Stability Enhancement of IBRs Using Voltage-Angle Coupling Analysis
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system
A Pattern-mining Driven Study on Differences of Newspapers in Expressing Temporal Information
An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
KM-ViPE: Online Tightly Coupled Vision-Language-Geometry Fusion for Open-Vocabulary Semantic SLAM
Nonlinear Basis Pursuit
An Algebraic Construction Technique for Codes over Hurwitz Integers
Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation
A Game Theoretic Perspective on Self-organizing Optimization for Cognitive Small Cells
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design
EXPIL: Explanatory Predicate Invention for Learning in Games
Aligning Foundation Model Priors and Diffusion-Based Hand Interactions for Occlusion-Resistant Two-Hand Reconstruction
Speeding up decimal multiplication
Phase-Adaptive LLM Framework with Multi-Stage Validation for Construction Robot Task Allocation: A Systematic Benchmark Against Traditional Optimization Algorithms
A Mapping Study on Software Process Self-Assessment Methods
Prediction of highly cited papers
Information flow simulation community detection of weighted-directed campus friendship network in continuous time
Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance
Handling the Selection Monad (Full Version)
FiSSA at SemEval-2020 Task 9: Fine-tuned For Feelings
Towards Greener Nights: Exploring AI-Driven Solutions for Light Pollution Management
Carbon: An Asynchronous Voting-Based Payment System for a Client-Server Architecture
gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing
Probabilistic Value-Deviation-Bounded Integer Codes for Approximate Communication
Robust nonparametric nearest neighbor random process clustering
Asynchronous iterations in ultrametric spaces
Random VLAD based Deep Hashing for Efficient Image Retrieval
Eliminating the Hidden Cost of Zone Management in ZNS SSDs
Green Footprint by Cognitive Management of Opportunistic Networks
Prediction of Zoonosis Incidence in Human using Seasonal Auto Regressive Integrated Moving Average (SARIMA)
Research on Defect Detection Method of Motor Control Board Based on Image Processing
Task Coordination and Trajectory Optimization for Multi-Aerial Systems via Signal Temporal Logic: A Wind Turbine Inspection Study
Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract)
MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments
OPTune: Efficient Online Preference Tuning
Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming
Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities
The process of purely event-driven programs
The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and Autonomy
A Rule-Based Relational XML Access Control Model in the Presence of Authorization Conflicts
TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning
A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?
Self-supervised Learning on Graphs: Deep Insights and New Direction
Chebyshev distances associated to the second members of systems of Max-product/Lukasiewicz Fuzzy relational equations
Stochastic Reservoir Calculations
Real-time Controllable Motion Transition for Characters
Real-time and Large-scale Fleet Allocation of Autonomous Taxis: A Case Study in New York Manhattan Island
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Dynamic Multimodal Instance Segmentation guided by natural language queries
Linear time algorithm for computing the rank of divisors on cactus graphs
Time and Memory Efficient Algorithm for Structural Graph Summaries over Evolving Graphs
Accurate Baryon Acoustic Oscillations reconstruction via semi-discrete optimal transport
Quantum Search on Encrypted Data Based on Quantum Homomorphic Encryption
Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030
Model-Free 3D Reconstruction of Weld Joint Geometry Using Laser Scanning in Presence of Noise
Non-cooperative game approach for task offloading in edge clouds
Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training
Scalable Valuation of Human Feedback through Provably Robust Model Alignment
Numerical approximations for a hyperbolic integrodifferential equation with a non-positive variable-sign kernel and nonlinear-nonlocal damping
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer
Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases
Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties
Critically loaded k-limited polling systems with switch-over times
Parameterized complexity dichotomy for (r, ℓ)-Vertex Deletion
3DSES: an indoor Lidar point cloud segmentation dataset with real and pseudo-labels from a 3D model
Deep Co-Training for Semi-Supervised Image Segmentation
Robot Crowd Navigation in Dynamic Environment with Offline Reinforcement Learning
A Formula That Generates Hash Collisions
LCD: Low Latency Command Dissemination for A Platoon of Vehicles
Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling
Rethinking Classification and Localization in R-CNN
Maximize the Long-term Average Revenue of Network Slice Provider via Admission Control Among Heterogeneous Slices
Exploiting Partial Assignments in Optimization Modulo Theories
An Efficient Autocalibration Method for Triaxial Gyroscope without External Device
Do Not Harm Protected Groups in Debiasing Language Representation Models
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
Examining Redundancy in the Context of Safe Machine Learning
The Rise and Fall of R&D Networks
Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural Networks to Recover Nonlinear Oscillations Efficiently
Crediting multi-authored papers to single authors
Domain Adaptive Object Detection via Feature Separation and Alignment
Optimal Detection of UAV's Transmission with Beam Sweeping in Wireless Networks
Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders
Revisit of Semi-Implicit Schemes for Phase-Field Equations
Inspect Transfer Learning Architecture with Dilated Convolution
FL-DECO-BC: A Privacy-Preserving, Provably Secure, and Provenance-Preserving Federated Learning Framework with Decentralized Oracles on Blockchain for VANETs
Visualizing and Improving Scattering Networks
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network
Artificial intelligence and the Gulf Cooperation Council workforce adapting to the future of work
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels
Measuring Non-Typical Emotions for Mental Health: A Survey of Computational Approaches
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
The One-Variable Logic Meets Presburger Arithmetic
Synthesising Dynamic Textures using Convolutional Neural Networks
Flex-GAD : Flexible Graph Anomaly Detection
Person Monitoring by Full Body Tracking in Uniform Crowd Environment
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation
Auxiliary Tasks Speed Up Learning PointGoal Navigation
Byzantine fault-tolerant distributed set intersection with redundancy
Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree transformation
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
ScoreFusion: fusing score-based generative models via Kullback-Leibler barycenters
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities
Using Scene Graph Context to Improve Image Generation
The Intel Neuromorphic DNS Challenge
The ELAPS Framework: Experimental Linear Algebra Performance Studies
Covert Scattering Control in Metamaterials with Non-Locally Encoded Hidden Symmetry
Next-Generation LLM for UAV: From Natural Language to Autonomous Flight
A Preliminary Model of Coordination-free Consistency
An Incremental Knowledge Compilation in First Order Logic
Effectiveness of ChatGPT in explaining complex medical reports to patients
Label Mask for Multi-Label Text Classification
Few-Shot Cross-Lingual TTS Using Transferable Phoneme Embedding
PLLuM: A Family of Polish Large Language Models
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation
Toward BCI-enabled Metaverse: A Joint Radio and Computing Resource Allocation Approach
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
Low Bandwidth Video-Chat Compression using Deep Generative Models
Properties of palindromes in finite words
Module-Power Prediction from PL Measurements using Deep Learning
The L p -error rate for randomized quasi-Monte Carlo self-normalized importance sampling of unbounded integrands
Temporal Action Proposal Generation with Transformers
MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs
Causal Inference with Differentially Private (Clustered) Outcomes
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Fast Evaluation and Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron
Actuation attacks on constrained linear systems: a set-theoretic analysis
Technical report for "Virtual Energy Storage Sharing and Capacity Allocation"
Synthetic Data Privacy Metrics
Augmentix - An Augmented Reality System for asymmetric Teleteaching
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data
Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation
FlowR: Flowing from Sparse to Dense 3D Reconstructions
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
Mutual Information Bounds for Lossy Common Information
The Intriguing Properties of Model Explanations
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting