yusuke1997/dblp-id-title huggingface dataset:
Federated Learning with Randomized Douglas-Rachford Splitting Methods
Satoshi Risk Tables
Theoretical Analysis of Tuned HVAC Line for Low Loss Long Distance Bulk Power Transmission
Modeling Major Transitions in Evolution with the Game of Life
Integrating Newton's Laws with deep learning for enhanced physics-informed compound flood modelling
Persistence Partial Matchings Induced by Morphisms between Persistence Modules
Evaluating Large Language Models for Automatic Register Transfer Logic Generation via High-Level Synthesis
Unsupervised part learning for visual recognition
Towards Cancer Hybrid Automata
ns3-gym: Extending OpenAI Gym for Networking Research
Pseudo-Power Avoidance
Evaluating Sparse Interpretable Word Embeddings for Biomedical Domain
DHR+S: Distributed Hybrid Rendering with Realistic Real-time Shadows for Interactive Thin Client Metaverse and Game Applications
GSECnet: Ground Segmentation of Point Clouds for Edge Computing
Simplifying HPC resource selection: A tool for optimizing execution time and cost on Azure
Limitations on Safe, Trusted, Artificial General Intelligence
AutoBotCatcher: Blockchain-based P2P Botnet Detection for the Internet of Things
Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation
Resilience of Complex Networks
Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound
Virtuoso: High Resource Utilization and μs-scale Performance Isolation in a Shared Virtual Machine TCP Network Stack
Fast-Group-Decodable STBCs via Codes over GF(4)
Focus On Details: Online Multi-object Tracking with Diverse Fine-grained Representation
aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions
Robust Network Design for Software-Defined IP/Optical Backbones
Regulating AI manipulation: Applying Insights from behavioral economics and psychology to enhance the practicality of the EU AI Act
From Orbit to Ground: Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
Construct Graph Logic
Bootstrapping your behavior: a new pretraining strategy for user behavior sequence data
Real-time System Identification Using Deep Learning for Linear Processes with Application to Unmanned Aerial Vehicles
Image Restoration under Semantic Communications
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data
Forge4D: Feed-Forward 4D Human Reconstruction and Interpolation from Uncalibrated Sparse-view Videos
Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning
NU-AIR - A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles
Enabling predictable parallelism in single-GPU systems with persistent CUDA threads
Sub-vector Extraction and Cascade Post-Processing for Speaker Verification Using MLLR Super-vectors
Sampling-based Motion Planning for Active Multirotor System Identification
Towards a Generalist and Blind RGB-X Tracker
LOTUSDIS: A Thai far-field meeting corpus for robust conversational ASR
Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference
A Survey on Dynamic Spectrum Access Techniques for Cognitive Radio
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs
Stochastic metamorphosis with template uncertainties
Dynamic Privacy For Distributed Machine Learning Over Network
MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generation
Where to Go Next for Recommender Systems? ID- vs. Modality-based recommender models revisited
h α : An index to quantify an individual's scientific leadership
Reusing Precisions for Efficient Regression Verification
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
Parallel Seismic Data Processing Performance with Cloud-based Storage
DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks
Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach
Denoising Diffusion Models for Anomaly Localization in Medical Images
A Pattern-based Approach to Detect and Improve Non-descriptive Test Names
Clinical semantics for lung cancer prediction
Robust Continuous Co-Clustering
Poisson multi-Bernoulli mixture filter for trajectory measurements
Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network
UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping
On the Achievable Performance in the presence of Multiple Path Interference for Intra Data Center applications
Real-Time Prediction of BITCOIN Price using Machine Learning Techniques and Public Sentiment Analysis
Insights from the application of nonlinear model predictive control to a cart-pendulum
Semantic Prototypes: Enhancing Transparency Without Black Boxes
Hybrid Social Networking Application for a University Community
Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark
RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps
Trapped acoustic waves and raindrops: high-order accurate integral equation method for localized excitation of a periodic staircase
Efficient End-to-End Speech Recognition Using Performers in Conformers
Extended Capture Point and Optimization-based Control for Quadrupedal Robot Walking on Dynamic Rigid Surfaces
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
Multi-fidelity covariance estimation in the log-Euclidean geometry
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets
Guidance Watermarking for Diffusion Models
Risk Assessment, Prediction, and Avoidance of Collision in Autonomous Drones
Towards Ultimate NMR Resolution with Deep Learning
What do Computing Interns Discuss Online? An Empirical Analysis of Reddit Posts
Hybrid Model for Solving Multi-Objective Problems Using Evolutionary Algorithm and Tabu Search
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions
FlexDiT: Dynamic Token Density Control for Diffusion Transformer
Feature selection or extraction decision process for clustering using PCA and FRSD
A Nonparametric Discrete Hawkes Model with a Collapsed Gaussian-Process Prior
Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview
Relational Theories with Null Values and Non-Herbrand Stable Models
Stochastic Cortical Self-Reconstruction
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer
MacNeille completion and Buchholz' Omega rule for parameter-free second order logics
System Evaluation of the Intel Optane Byte-addressable NVM
The algorithm of noisy k-means
Dichotomies and Duality in First-order Model Checking Problems
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
Large-Scale Network Motif Learning with Compression
Mining Maximal Cliques from an Uncertain Graph
Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables from Closed Classes
Erase to Retain: Low Rank Adaptation Guided Selective Unlearning in Medical Segmentation Networks
Aerial Imagery Pixel-level Segmentation
CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering
Sonified Quantum Seizures. Sonification of time series in epileptic seizures and simulation of seizures via quantum modelling
Not All Lotteries Are Made Equal
To Skip or to Switch? Minimizing Age of Information under Link Capacity Constraint
Storage places in diplomatic texts (7th-13th centuries). Lexical, semantic, and digital investigation
Controllable protein design through Feynman-Kac steering
Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data
On (k,g)-Graphs without (g+1)-Cycles
Balancing Turnover and Promotion Outcomes: Evidence on the Optimal Hybrid-Work Frequency
Unsupervised Monocular Depth Prediction for Indoor Continuous Video Streams
End-to-End Optical Character Recognition for Bengali Handwritten Words
Generating Trading Signals by ML algorithms or time series ones?
Event-assisted Low-Light Video Object Segmentation
On the Brittleness of LLMs: A Journey around Set Membership
FedSS: Federated Learning with Smart Selection of clients
Open storm: a complete framework for sensing and control of urban watersheds
Spatiotemporal Estimation of TROPOMI NO2 Column with Depthwise Partial Convolutional Neural Network
DeepHAZMAT: Hazardous Materials Sign Detection and Segmentation with Restricted Computational Resources
A Solution of Degree Constrained Spanning Tree Using Hybrid GA
Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification
Graph Attention Networks Unveil Determinants of Intra- and Inter-city Health Disparity
Algorithm to Compute Squares of 1st N Natural Numbers Without Using Multiplication
SMCL - Stochastic Model Checker for Learning in Games
Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-driven Verification
Learning to Project in Multi-Objective Binary Linear Programming
Accelerating convergence of a natural convection solver by continuous data assimilation
EasySched: a multi-agent architecture for the predictive and reactive scheduling of Industry 4.0 production systems based on the available renewable energy
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders
A Fully Fourth Order Accurate Energy Stable FDTD Method for Maxwell's Equations in Metamaterials
Estimating Random-Walk Probabilities in Directed Graphs
Detecting and Rectifying Noisy Labels: A Similarity-based Approach
Computed Axial Lithography (CAL): Toward Single Step 3D Printing of Arbitrary Geometries
Exploring Synaptic Resonance in Large Language Models: A Novel Approach to Contextual Memory Integration
Enumerating k-arc-connected orientations
Revisiting time-variant complex conjugate matrix equations with their corresponding real field time-variant large-scale linear equations, neural hypercomplex numbers space compressive approximation approach
Lag-Llama: Towards Foundation Models for Time Series Forecasting
Out-of-Sample Representation Learning for Multi-Relational Graphs
A Brief Account of Klein's Icosahedral Extensions
Salient Temporal Encoding for Dynamic Scene Graph Generation
Adaptive Multidimensional Quadrature on Multi-GPU Systems
Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels
Advancing Data Justice Research and Practice: An Integrated Literature Review
Implementing Security Protocol Monitors
Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior
Training Deep SLAM on Single Frames
TMSTC*: A Turn-minimizing Algorithm For Multi-robot Coverage Path Planning
The Citation Impacts and Citation Environments of Chinese Journals in Mathematics
Winner-Take-All Computation in Spiking Neural Networks
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression
On alternative formulations of the small-world metric in complex networks
Rethinking Diffusion Model-Based Video Super-Resolution: Leveraging Dense Guidance from Aligned Features
A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case (IDEA)
To Feed or Not to Feed Back
Multi-Scale Time-Frequency Attention for Rare Sound Event Detection
Uncertainty-aware No-Reference Point Cloud Quality Assessment
DeepSync: A Learning Framework for Pervasive Localization using Code Synchronization on Compressed Cellular Spectrum
On Information Transfer Based Characterization of Power System Stability
Neural Multigrid Memory For Computational Fluid Dynamics
FingerCap: Fine-grained Finger-level Hand Motion Captioning
Cake Cutting Mechanisms
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Do Tensorized Large-Scale Spatiotemporal Dynamic Atmospheric Data Exhibit Low-Rank Properties?
Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning
When Exceptions are the Norm: Exploring the Role of Consent in HRI
Learn then Decide: A Learning Approach for Designing Data Marketplaces
Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach
A General Framework for Distributed Inference with Uncertain Models
Digital Twins for Supporting AI Research with Autonomous Vehicle Networks
Load Balancing via Joint Transmission in Heterogeneous LTE: Modeling and Computation
Enhancing xURLLC with RSMA-Assisted Massive-MIMO Networks: Performance Analysis and Optimization
Assessing requirements to scale to practical quantum advantage
GPU Implementations for Midsize Integer Addition and Multiplication
BeamformNet: Deep Learning-Based Beamforming Method for DoA Estimation via Implicit Spatial Signal Focusing and Noise Suppression
Ad-Blocking and Counter Blocking: A Slice of the Arms Race
Modular Irregularity Strength of Triangular Book Graph
Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes
Feature-based or Direct: An Evaluation of Monocular Visual Odometry
A Fully Online Approach for Covariance Matrices Estimation of Stochastic Gradient Descent Solutions
Deep Learning and Gaussian Process based Band Assignment in Dual Band Systems
Stepwise functional refoundation of relational concept analysis
Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice Conversion
APEX: Action Priors Enable Efficient Exploration for Skill Imitation on Articulated Robots
Iterative Decoding for Compositional Generalization in Transformers
FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments
Maximum A Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems with Channels of Arbitrary Correlation
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference
Semi-parametric Image Synthesis
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks
A Time Series Approach to Parkinson's Disease Classification from EEG
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry
A neuromorphic continuous soil monitoring system for precision irrigation
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
Binarization-Aware Adjuster: Bridging Continuous Optimization and Binary Inference in Edge Detection
SC-Square: Overview to 2021
Automated Generation of Connectionist Expert Systems for Problems Involving Noise and Redundancy
Using Categorical Features in Mining Bug Tracking Systems to Assign Bug Reports
Mapping road safety features from streetview imagery: A deep learning approach
Methods of Matrix Multiplication: An Overview of Several Methods and their Implementation
On Sampling Continuous-Time Gaussian Channels
MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems
Future management needs of a "software-driven" science community
Align2Speak: Improving TTS for Low Resource Languages via ASR-Guided Online Preference Optimization
Distributed Charging Coordination for Electric Trucks under Limited Facilities and Travel Uncertainties
Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network
A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy
Practical and Private (Deep) Learning without Sampling or Shuffling
Understanding (Un)Reliability of Steering Vectors in Language Models
Vertical Federated Learning without Revealing Intersection Membership
GraphGI:A GNN Explanation Method using Game Interaction
Flexible Mining of Prefix Sequences from Time-Series Traces
Similarity-Based Methods For Word Sense Disambiguation
Polynomial Delay Algorithm for Listing Minimal Edge Dominating sets in Graphs
Bibliography of distributed approximation on structurally sparse graph classes
Almost Equivariance via Lie Algebra Convolutions
Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems
Supervising strong learners by amplifying weak experts
Optimizing Deep Learning Models For Raspberry Pi
An Enhanced Multi-Objective Biogeography-Based Optimization Algorithm for Automatic Detection of Overlapping Communities in a Social Network with Node Attributes
A Unified Transformer-based Framework for Duplex Text Normalization
Review of Cookie Synchronization Detection Methods
Deep Domain Adaptation under Deep Label Scarcity
Compositional Active Learning of Synchronous Systems through Automated Alphabet Refinement
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region
An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models
Superflows: A New Tool for Forensic Network Flow Analysis
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data
Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification
Modified Frame Reconstruction Algorithm for Compressive Sensing
Data assimilation for the stochastic Camassa-Holm equation using particle filtering: a numerical investigation
Beyond Static Responses: Multi-Agent LLM Systems as a New Paradigm for Social Science Research
Orchestrating LLMs with Different Personalizations
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Co-evolving Vector Quantization for ID-based Recommendation
Efficient Latent Variable Causal Discovery: Combining Score Search and Targeted Testing
AI-Enhanced Wi-Fi Sensing Through Single Transceiver Pair
MAGAN: Margin Adaptation for Generative Adversarial Networks
DETECT: Determining Ease and Textual Clarity of German Text Simplifications
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation
The complexity of unsupervised learning of lexicographic preferences
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding
Aurora: a probabilistic algorithm for distributed ledgers enabling trustless synchronization and transaction inclusion verification
TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking
Tekum: Balanced Ternary Tapered Precision Real Arithmetic
The Alignment Problem in Context
Supervisory Switching Control of an Unmanned Surface Vehicle
The Cultivated Practices of Text-to-Image Generation
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems
Construction and Performance of Kinetic Schemes for Linear Systems of Conservation Laws
Shifting the Lens: Detecting Malware in npm Ecosystem with Large Language Models
Input-Driven Pushdown Automata with Translucent Input Letters
Best of Both Worlds: Stochastic and Adversarial Convex Function Chasing
Exploring AI Futures Through Fictional News Articles
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data
Visual Semantic Role Labeling
Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior
Zero-shot Blind Image Denoising via Implicit Neural Representations
HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings
Enhancing the Security of Protocols against Actor Key Compromise Problems
Adaptation of Black-Box Software Components
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages
Semantic change detection for Slovene language: a novel dataset and an approach based on optimal transport
Gene tree species tree reconciliation with gene conversion
Federated Stochastic Primal-dual Learning with Differential Privacy
Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation
Fast learning rate of deep learning via a kernel perspective
Modelling the emergence of open-ended technological evolution
Mining Generalized Features for Detecting AI-Manipulated Fake Faces
Value of Fleet Vehicle Grid in Providing Transmission System Operator Services
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning
AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories
Domain-Specific Data Generation Framework for RAG Adaptation
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Compositionality, Synonymy, and the Systematic Representation of Meaning
Studying the association of online brand importance with museum visitors: An application of the semantic brand score
Reconfigurable Auxetic Devices (RADs) for Robotic Surface Manipulation
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
BEVBert: Topo-Metric Map Pre-training for Language-guided Navigation
Estimation of multiple mean vectors in high dimension
UCB-type Algorithm for Budget-Constrained Expert Learning
Lifespan and propagation of information in On-line Social Networks a Case Study
From Syntactic Theories to Interpreters: A Specification Language and Its Compilation
An Ontology for Comprehensive Tutoring of Euphonic Conjunctions of Sanskrit Grammar
A new tool for the performance analysis of massively parallel computer systems
Convergence Analysis of Asymptotic Preserving Schemes for Strongly Magnetized plasmas
AI for Abolition? A Participatory Design Approach
Behind the leaves - Estimation of occluded grapevine berries with conditional generative adversarial networks
A robust discontinuous Galerkin scheme on anisotropic meshes
Deciphering Malware's use of TLS (without Decryption)
Local Variables and Quantum Relational Hoare Logic
Distributed Triangle Counting in the Graphulo Matrix Math Library
Dispersion of Infinite Constellations in Fast Fading Channels
Objectness Similarity: Capturing Object-Level Fidelity in 3D Scene Evaluation
Support for Stock Trend Prediction Using Transformers and Sentiment Analysis
A Resilient and Energy-Efficient Smart Metering Infrastructure Utilizing a Self-Organizing UAV Swarm
Image Caption Generation with Text-Conditional Semantic Attention
Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data
Reform and Practice of Computer Application Technology Major Construction and Development in Higher Vocational Colleges in China - Taking Jiangxi Vocational College of Applied Technology as An Example
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
Decomposition Ascribed Synergistic Learning for Unified Image Restoration
A Separation-Based Methodology to Consensus Tracking of Switched High-Order Nonlinear Multi-Agent Systems
Memcomputing for Accelerated Optimization
Sentiment Analysis on YouTube Smart Phone Unboxing Video Reviews in Sri Lanka