yusuke1997/dblp-id-title huggingface dataset:
NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
Partition Generative Modeling: Masked Modeling Without Masks
Causal Foundation Models: Disentangling Physics from Instrument Properties
BitAV: Fast Anti-Malware by Distributed Blockchain Consensus and Feedforward Scanning
Prompt-Efficient Fine-Tuning for GPT-like Deep Models to Reduce Hallucination and to Improve Reproducibility in Scientific Text Generation Using Stochastic Optimisation Techniques
Improving DL-MU-MIMO Performance in IEEE 802.11ac Networks through Decoupled Scheduling
Semi-supervised GAN for Bladder Tissue Classification in Multi-Domain Endoscopic Images
Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods
Source Data Selection for Brain-Computer Interfaces based on Simple Features
Topological and Semantic Graph-based Author Disambiguation on DBLP Data in Neo4j
NameTag 3: A Tool and a Service for Multilingual/Multitagset NER
Deterministic Leader Election Among Disoriented Anonymous Sensors
SoundSpring: Loss-Resilient Audio Transceiver with Dual-Functional Masked Language Modeling
An Energy Efficient Distributed Gossip Algorithm for Wireless Sensor Networks based on a Randomized Markovian Duty-Cycling
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework
Classification of cyber attacks on IoT and ubiquitous computing devices
First Passage Value
Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising
Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking
Scene-Aware Urban Design: A Human-AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models
Act of CVT and EVT In The Formation of Number-Theoretic Fractals
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images
Towards New Multiwavelets: Associated Filters and Algorithms. Part I: Theoretical Framework and Investigation of Biomedical Signals, ECG and Coronavirus Cases
An Application of Reduced Basis Methods to Core Computation in APOLLO3
Modeling Transformative AI Risks (MTAIR) Project - Summary Report
Recurrent Memory for Online Interdomain Gaussian Processes
Hedging the Drift: Learning to Optimize under Non-Stationarity
Hidden Markov Estimation of Bistatic Range From Cluttered Ultra-wideband Impulse Responses
A bound preserving cut discontinuous Galerkin method for one dimensional hyperbolic conservation laws
A Measure of Synergy based on Union Information
Prefetching Cache Optimization Using Graph Neural Networks: A Modular Framework and Conceptual Analysis
Slowly Varying Regression under Sparsity
Explicit Context Integrated Recurrent Neural Network for Sensor Data Applications
Making Decisions under Outcome Performativity
A Line-Point Unified Solution to Relative Camera Pose Estimation
Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model
Consistent Optimization for Single-Shot Object Detection
Development of an autism screening classification model for toddlers
Exploiting NOMA Transmissions in Multi-UAV-assisted Wireless Networks: From Aerial-RIS to Mode-switching UAVs
Learning Linear Transformations for Fast Arbitrary Style Transfer
Design of Joint Source-Channel Codes Based on a Single Protograph
Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment
ClosNets: a Priori Sparse Topologies for Faster DNN Training
MATCH: Engineering Transparent and Controllable Conversational XAI Systems through Composable Building Blocks
An Iterative Approach for Collision Feee Routing and Scheduling in Multirobot Stations
Scalable Test Generation to Trigger Rare Targets in High-Level Synthesizable IPs for Cloud FPGAs
Deep Learning the City : Quantifying Urban Perception At A Global Scale
I-Interaction: An Intelligent In-Vehicle User Interaction Model
Single-Carrier Modulation for Large-Scale Antenna Systems
Experimental Studies in General Game Playing: An Experience Report
Sentiment Analysis of Cybersecurity Content on Twitter and Reddit
TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? - A Case Study on Korea Financial Texts
Efficient Use of Spectral Resources in Wireless Communication Using Training Data Optimization
"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages
Deep Variational Models for Collaborative Filtering-based Recommender Systems
Scenic: A Language for Scenario Specification and Data Generation
Reachability Analysis of Nonlinear Discrete-Time Systems Using Polyhedral Relaxations and Constrained Zonotopes
A Redundancy-Guided Approach for the Hazard Analysis of Digital Instrumentation and Control Systems in Advanced Nuclear Power Plants
Identifying optimal cycles in quantum thermal machines with reinforcement-learning
A New Approach to Speeding Up Topic Modeling
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network
A natural-language-based approach to intelligent data retrieval and representation for cloud BIM
Advancing physiological time series reconstruction and imputation via mixture of receptive fields and experts fusion
Using Data Redundancy Techniques to Detect and Correct Errors in Logical Data
Predicting Hate Intensity of Twitter Conversation Threads
Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations
A Novice Guide towards Human Motion Analysis and Understanding
Bidirectional LSTM-CRF Models for Sequence Tagging
Agnostic Reinforcement Learning: Foundations and Algorithms
A priori and a posteriori analysis of the discontinuous Galerkin approximation of the time-harmonic Maxwell's equations under minimal regularity assumptions
DLMP-based Coordination Procedure for Decentralized Demand Response under Distribution Network Constraints
Generalized SS-SIE for Electromagnetic Analysis of Arbitrarily Connected Penetrable and PEC Objects with Non-Conformal Meshes
Construction of Multiple Access Channel Codes Based on Hash Property
Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks
Solar energy production: Short-term forecasting and risk management
Faster Randomized Block Sparse Kaczmarz by Averaging
Quantized Proximal Averaging Network for Analysis Sparse Coding
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
DiffTune: Auto-Tuning through Auto-Differentiation
On Training Deep Boltzmann Machines
Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
Towards Training A Chinese Large Language Model for Anesthesiology
Google matrix analysis of directed networks
Proceedings Ninth Workshop on Model-Based Testing, MBT 2014, Grenoble, France, 6 April 2014
Visual Reranking with Improved Image Graph
Graphical Interface for Visually Impaired People Based on Bi-stable Solenoids
Scheduling on Grid with communication Delay
American Sign Language Alphabet Recognition using Deep Learning
Integrated Graphene Patch Antenna for Communications at THz Frequencies
Quasi-Succinct Indices
SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation
Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking
Exploring the intersection of Generative AI and Software Development
A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease
A Robust Data Hiding Process Contributing to the Development of a Semantic Web
Fast and Safe Switching with Guaranteed Regret: LQR Setting with Unknown Dynamics
An AI-enabled Agent-Based Model and Its Application in Measles Outbreak Simulation for New Zealand
NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images
Unsupervised anomaly detection for discrete sequence healthcare data
A CNN-Based Technique to Assist Layout-to-Generator Conversion for Analog Circuits
Dual perspective method for solving the point in a polygon problem
Self-Organizing Maps as a Storage and Transfer Mechanism in Reinforcement Learning
On preservation of set stability under input delays for nonlinear systems with disturbances
Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
The Dendritic Cell Algorithm for Intrusion Detection
Self-presentation and emotional contagion on Facebook: new experimental measures of profiles' emotional coherence
Generalized State-Feedback Controller Synthesis for Underactuated Systems through Bayesian Optimization
End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification
Advancing Real-World Parking Slot Detection with Large-Scale Dataset and Semi-Supervised Baseline
Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues
Sequential Dimensionality Reduction for Extracting Localized Features
Implementation of FGPA based Channel Sounder for Large scale antenna systems using RFNoC on USRP Platform
Differentiable N-gram Objective on Abstractive Summarization
The Intersectionality Problem for Algorithmic Fairness
Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation
Modeling and Control of Multi-Energy Dynamical Systems: Hidden Paths to Decarbonization
A Modern Non-SQL Approach to Radiology-Centric Search Engine Design with Clinical Validation
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark
Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels
Qubit-Wise Architecture Search Method for Variational Quantum Circuits
From heteroclinic loops to homoclinic snaking in reversible systems: rigorous forcing through computer-assisted proofs
High Dimensional Human Guided Machine Learning
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Weather forecasting using Convex hull & K-Means Techniques An Approach
Semantic Equivariant Mixup
SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification
Computing optimal trajectories for a tethered pursuer
Regularized Estimation of Information via High Dimensional Canonical Correlation Analysis
Object Topological Character Acquisition by Inductive Learning
Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
Design and Verification of a Logless Dynamic Reconfiguration Protocol in MongoDB Replication
Computational Analysis of Perfect-Information Position Auctions
Improving Foot-Mounted Inertial Navigation Through Real-Time Motion Classification
Boosting Medical Visual Understanding From Multi-Granular Language Learning
Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis
Enhancing Multistep Brent Oil Price Forecasting with a Multi-Aspect Metaheuristic Optimization Approach and Ensemble Deep Learning Models
Exploiting degeneracy to construct good ternary quantum error correcting code
Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning
Linear Last-iterate Convergence for Matrix Games and Stochastic Games
Impact of the COVID-19 pandemic on the Internet latency: a large-scale study
GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks
Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks
Technical Report: Model-Checking for Resource-Bounded ATL with Production and Consumption of Resources
Dithen: A Computation-as-a-Service Cloud Platform For Large-Scale Multimedia Processing
The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Resource Allocation for Massive MIMO HetNets with Quantize-Forward Relaying
Optimal Control of Hughes' Model for Pedestrian Flow via Local Attraction
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks
Analytic signal in many dimensions
TimEHR: Image-based Time Series Generation for Electronic Health Records
BLP 2023 Task 2: Sentiment Analysis
A computationally tractable framework for nonlinear dynamic multiscale modeling of membrane fabric
The Efficacy of Semantics-Preserving Transformations in Self-Supervised Learning for Medical Ultrasound
Fast and Scalable Group Mutual Exclusion
Low-Autocorrelation Binary Sequences: on the Performance of Memetic-Tabu and Self-Avoiding Walk Solvers
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles
RAO-SS: A Prototype of Run-time Auto-tuning Facility for Sparse Direct Solvers
Quantum Strategic Game Theory
Strategic Issues on Implementing a Software Process Improvement Program
Robust Machine Learning Applied to Terascale Astronomical Datasets
On the importance of nonlinear modeling in computer performance prediction
A Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition System
Kidney Exchange in Dynamic Sparse Heterogenous Pools
Stereo Magnification: Learning View Synthesis using Multiplane Images
Autonomous Racing using Learning Model Predictive Control
Stream Sampling with Immediate Decision
Chaotic Map based Compression Approach to Classification
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
Trading in Risk Dimensions (TRD)
A Self-Decoupled 32 Channel Receive Array for Human Brain Magnetic Resonance Imaging at 10.5T
Direct Sampling of Confined Polygons in Linear Time
MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
Demonstrably Doing Accountability in the Internet of Things
Large Emotional World Model
Arguments for the Unsuitability of Convolutional Neural Networks for Non-Local Tasks
When Pamplona sounds different: the soundscape transformation of San Fermin through intelligent acoustic sensors and a sound repository
ShallowBlocker: Improving Set Similarity Joins for Blocking
Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training
Integrated Oculomics and Lipidomics Reveal Microvascular Metabolic Signatures Associated with Cardiovascular Health in a Healthy Cohort
Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering
Effective Relaying in Two-user Interference Channel with Different Models of Channel Output Feedback
TORSO: Template-Oriented Reasoning Towards General Tasks
A Reliability Theory of Compromise Decisions for Large-Scale Stochastic Programs
Learning and Optimization with Submodular Functions
Malware Classification Using Long Short-Term Memory Models
Degrees of Freedom and Model Selection for kmeans Clustering
Signal and System Approximation from General Measurements
Embedding an ANN-Based Crystal Plasticity Model into the Finite Element Framework using an ABAQUS User-Material Subroutine
Deploying COTS Legged Robot Platforms into a Heterogeneous Robot Team
Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality
Recurrent Connectivity Aids Recognition of Partly Occluded Objects
Behavioral Research and Practical Models of Drivers' Attention
Minimum Opaque Covers for Polygonal Regions
Does the hiding mechanism for Stack Overflow comments work well? No!
Cold Dynamics in Cellular Automata: a Tutorial
Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models
Worst-Case Upper Bound for (1, 2)-QSAT
Information geometry on groupoids: the case of singular metrics
Exploring Uncore Frequency Scaling for Heterogeneous Computing
Numerical Analysis and Dimension Splitting for A Semi-Lagrangian Discontinuous Finite Element Scheme Based on the Characteristic Galerkin Method
AutoComb: Automated Comb Sign Detector for 3D CTE Scans
Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network
Efficient Fault Detection Architectures for Modular Exponentiation Targeting Cryptographic Applications Benchmarked on FPGAs
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Modeling Dislocation Dynamics Data Using Semantic Web Technologies
Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
IMU Preintegration for Multi-Robot Systems in the Presence of Bias and Communication Constraints
Compressed threshold pivoting for sparse symmetric indefinite systems
Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks
Rethinking Cognition: Morphological Info-Computation and the Embodied Paradigm in Life and Artificial Intelligence
Adversarial speech for voice privacy protection from Personalized Speech generation
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection
Fuzzy Multi-Agent Simulation of COVID-19 Pandemic Spreading
nlfem: A flexible 2d Fem Code for Nonlocal Convection-Diffusion and Mechanics
ARC: A Vision-based Automatic Retail Checkout System
Energy storage applications for low voltage consumers in Uruguay
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Generalized weights: an anticode approach
Towards Input Device Satisfaction Through Hand Anthropometry
ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks
Detecting Affective Flow States of Knowledge Workers Using Physiological Sensors
Highlighting entanglement of cultures via ranking of multilingual Wikipedia articles
Modified Loss of Momentum Gradient Descent: Fine-Grained Analysis
Timed Orchestration for Component-based Systems
Modified symmetry technique for mitigation of flow leak near corners for compressible inviscid fluid flow
Visual Tools for Input and Reflection in Social Work
Establishing Data Warehouse to Improve Standardize Health Care Delivery: A Protocol Development in Jakarta City
Network-Accelerated Non-Contiguous Memory Transfers
Asymptotic Convergence in Online Learning with Unbounded Delays
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording
Variational Graph Generator for Multi-View Graph Clustering
Significance of Classification Techniques in Prediction of Learning Disabilities
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation
DPoser: Diffusion Model as Robust 3D Human Pose Prior
Trainwreck: A damaging adversarial attack on image classifiers
Risk-limiting Financial Audits via Weighted Sampling without Replacement
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation
SportsXR - Immersive Analytics in Sports
Analysis and Control of Aircraft Longitudinal Dynamics subject to Steady Aerodynamic Forces
Advancing Multimodal Teacher Sentiment Analysis:The Large-Scale T-MED Dataset & The Effective AAM-TSA Model
The Alignment Bottleneck
Edge Proposal Sets for Link Prediction
Dynamic Anonymized Evaluation for Behavioral Continuous Authentication
Exploring Vulnerabilities and Concerns in Solana Smart Contracts
Estimation of User's World Model Using Graph2vec
Measuring and Analyzing Subjective Uncertainty in Scientific Communications
Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
Natural Deduction Assistant (NaDeA)
A Quantum Constraint Generation Framework for Binary Linear Programs
MIBoost: A Gradient Boosting Algorithm for Variable Selection After Multiple Imputation
Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks
EcoSphere: A Decision-Support Tool for Automated Carbon Emission and Cost Optimization in Sustainable Urban Development
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations
A Framework to Allow a Third Party to Watermark Numerical Data in an Encrypted Domain while Preserving its Statistical Properties
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets
Merging real and virtual worlds: An analysis of the state of the art and practical evaluation of Microsoft Hololens
Using multiple-criteria methods to evaluate community partitions
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention
Fog Computing Architecture: Survey and Challenges
The Method of Infinite Descent
Minimum-Time Quantum Transport with Bounded Trap Velocity
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
Recurrent Neural Networks as Optimal Mesh Refinement Strategies
Automatic Construction of Multiple Classification Dimensions for Managing Approaches in Scientific Papers
Nearly Optimal Time Bounds for kPath in Hypergraphs
FOAA: Flattened Outer Arithmetic Attention For Multimodal Tumor Classification
Offensive Security for AI Systems: Concepts, Practices, and Applications
A unified implementation of automata and expression structures, and of the associated algorithms using enriched categories
Diffeomorphic Image Registration with An Optimal Control Relaxation and Its Implementation
On the generalization ability of coarse-grained molecular dynamics models for non-equilibrium processes
Fuzzy Logic Trajectory Tracking Controller for a Tanker
Bin Packing with Multiple Colors
Multi-Dimensional Payment Plan in Fog Computing with Moral Hazard
On the Degrees of Freedom of Asymmetric MIMO Interference Broadcast Channels
SplitNet: Divide and Co-training
SceneGen: Learning to Generate Realistic Traffic Scenes
On the use of the principle of maximum entropy in bivariate splines least-squares approximation
Staged Self-Assembly:Nanomanufacture of Arbitrary Shapes with O(1) Glues
Resource-Efficient Federated Learning for Heterogenous and Resource-Constrained Environments
Monads, Comonads, and Transducers
Frequency-hiding Dependency-preserving Encryption for Outsourced Databases
Assessment of Human Behavior in Virtual Reality by Eye Tracking
Leasing the Cloud-Edge Continuum, à la Carte
Binomial Difference Ideal and Toric Difference Variety
An Efficient Internet Traffic Classification System Using Deep Learning for IoT
Bayesian computation with generative diffusion models by Multilevel Monte Carlo
Use of static surrogates in hyperparameter optimization
A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
Fisher zeros and correlation decay in the Ising model
SIP: Site in Pieces- A Dataset of Disaggregated Construction-Phase 3D Scans for Semantic Segmentation and Scene Understanding
Towards Long-Term User Welfare in Recommender Systems via Creator-Oriented Information Revelation
Aligning Effective Tokens with Video Anomaly in Large Language Models
A Utility-Based Approach to Power Control and Receiver Design in Wireless Data Networks
A novel Multiplicative Polynomial Kernel for Volterra series identification
Interruption Handling for Conversational Robots
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty Design - A Perspective
The Complexity of Propositional Implication
Single Image Haze Removal using a Generative Adversarial Network
Personalised Robot Behaviour Modelling for Robot-Assisted Therapy in the Context of Autism Spectrum Disorder
Towards Time Series Reasoning with LLMs
Personhood Credentials: Human-Centered Design Recommendation Balancing Security, Usability, and Trust
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning