yusuke1997/dblp-id-title huggingface dataset:
Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle
Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form
Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning
The Power of Convex Relaxation: Near-Optimal Matrix Completion
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians
Non-parallel Voice Conversion System with WaveNet Vocoder and Collapsed Speech Suppression
Comparative Analysis of Routing Protocols for Under Water Wireless Sensor Networks
Optimal Simultaneous Byzantine Agreement, Common Knowledge and Limited Information Exchange
Feynman Diagrams as Computational Graphs
Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm
Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid
Fuzzy clustering of web documents using equivalence relations and fuzzy hierarchical clustering
On Quadratization of Pseudo-Boolean Functions
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Sublinear Time, Approximate Model-based Sparse Recovery For All
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis
Studying Visualization Guidelines According to Grounded Theory
Stress Detection from Photoplethysmography in a Virtual Reality Environment
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
Federated Learning driven Large Language Models for Swarm Intelligence: A Survey
Grey Wolf-Based Task Scheduling in Vehicular Fog Computing Systems
Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches
A New Bound on the Cumulant Generating Function of Dirichlet Processes
Automatic camera orientation estimation for a partially calibrated camera above a plane with a line at known planar distance
Embodied Intelligence for Sustainable Flight: A Soaring Robot with Active Morphological Control
Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset
Harnessing Smartwatch Microphone Sensors for Cough Detection and Classification
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches
A Dynamic Energy-Based Hysteresis Model for Pulsed-Operated Fast-Ramping Magnets
The extreme upper tail of Japan's citation distribution reveals its research success
Towards a Multidimensional Evaluation Framework for Empathetic Conversational Systems
A Novel BiLevel Paradigm for Image-to-Image Translation
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN
Piecewise polynomial approximation on non-Lipschitz domains
Use of immersive virtual reality-based experiments to study tactical decision-making during emergency evacuation
Towards Industrial Private AI: A two-tier framework for data and model security
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
Integration of Policy and Reputation based Trust Mechanisms in e-Commerce Industry
Validating Deep Models for Alzheimer's 18F-FDG PET Diagnosis Across Populations: A Study with Latin American Data
Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks
A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images
Why Antiwork: A RoBERTa-Based System for Work-Related Stress Identification and Leading Factor Analysis
Faster Black-Box Algorithms Through Higher Arity Operators
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs
Vocabuild: An Accessible Augmented Tangible Interface for Gamified Vocabulary Learning of Constructing Meaning
A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning
ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks
Real-time tracking of moving objects from scattering matrix in real-world microwave imaging
Active Learning and CSI acquisition for mmWave Initial Alignment
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation
Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards
HERP: Hardware for Energy Efficient and Realtime DB Search and Cluster Expansion in Proteomics
WALL-E: An Efficient Reinforcement Learning Research Framework
Blow-up of solutions for discrete semilinear wave equation with the scale-invariant damping
Few-shot Adaptive Faster R-CNN
A Novel Semantic Software for Astronomical Concepts
Two-Step Online Trajectory Planning of a Quadcopter in Indoor Environments with Obstacles
Architectural Partitioning and Deployment Modeling on Hybrid Clouds
Constrained motion design with distinct actuators and motion stabilization
RMCDA: The comprehensive R library for applying multi-criteria decision analysis methods
Nivat's conjecture holds for sums of two periodic configurations
Deep Generative Design for Mass Production
OmniTry: Virtual Try-On Anything without Masks
Learning both Weights and Connections for Efficient Neural Networks
Multi-market Optimal Energy Storage Arbitrage with Capacity Blocking for Emergency Services
Learning to Fly via Deep Model-Based Reinforcement Learning
Adaptive Sparse Channel Estimation for Time-Variant MIMO-OFDM Systems
Multi-Base Station Cooperative Sensing with AI-Aided Tracking
GS-Marker: Generalizable and Robust Watermarking for 3D Gaussian Splatting
AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers
A Novel Neural Network Structure Constructed according to Logical Relations
A Grammatical Compositional Model for Video Action Detection
Policy-Adaptable Methods For Resolving Normative Conflicts Through Argumentation and Graph Colouring
High Definition Map Mapping and Update: A General Overview and Future Directions
Demystifying Errors in LLM Reasoning Traces: An Empirical Study of Code Execution Simulation
LaCoOT: Layer Collapse through Optimal Transport
Divergence Free Polar Wavelets
Generic Wave Digital Emulation of Memristive Devices
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models
A 3-D Spatial Model for In-building Wireless Networks with Correlated Shadowing
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Selective Masking based Self-Supervised Learning for Image Semantic Segmentation
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals
Mapping the changing structure of science through diachronic periodical embeddings
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective
Quantum simulation of single-server Markovian queues: A dynamic amplification approach
On the computation of zone and double zone diagrams
Multi-network Contrastive Learning Based on Global and Local Representations
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
Low-resource classification of mobility functioning information in clinical sentences using large language models
MuGS: Multi-Baseline Generalizable Gaussian Splatting Reconstruction
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios
Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics
Comparing semantic frameworks for dependently-sorted algebraic theories
NAMO-LLM: Efficient Navigation Among Movable Obstacles with Large Language Model Guidance
DyGLNet: Hybrid Global-Local Feature Fusion with Dynamic Upsampling for Medical Image Segmentation
An operator learning perspective on parameter-to-observable maps
Novel Matrix Hit and Run for Sampling Polytopes and Its GPU Implementation
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design
Event-based Synthetic Aperture Imaging with a Hybrid Network
Connectivity Preserving Network Transformers
Efficient evolutionary dynamics with extensive-form games
Fishy Cyber Attack Detection in Industrial Control Systems
Cyclostationary Spectrum Sensing in Cognitive Radios Using FRESH Filters
Novel View Video Prediction Using a Dual Representation
Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
An Elliptic Curve-based Signcryption Scheme with Forward Secrecy
Human Machine Co-adaption Interface via Cooperation Markov Decision Process System
A Latent Space Model for Multilayer Network Data
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks
QuickCent: a fast and frugal heuristic for harmonic centrality estimation on scale-free networks
Joint optimization of fitting & matching in multi-view reconstruction
Integrating Curricula with Replays: Its Effects on Continual Learning
Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images
Performance of wireless network coding: motivating small encoding numbers
A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial Differences
Progressively Projected Newton's Method
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows
Algorithms for estimating linear function in data mining
Unscented External Force Estimation for Quadrotors and Experiments
The communication-hiding pipelined BiCGStab method for the efficient parallel solution of large unsymmetric linear systems
Why Isn't Relational Learning Taking Over the World?
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets
Handwashing Action Detection System for an Autonomous Social Robot
STCTS: Generative Semantic Compression for Ultra-Low Bitrate Speech via Explicit Text-Prosody-Timbre Decomposition
Self-Attentive Model for Headline Generation
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
Prototype Guided Federated Learning of Visual Feature Representations
Video-based sympathetic arousal assessment via peripheral blood flow estimation
Combinatorial and computational investigations of Neighbor-Joining bias
The semiring of dichotomies and asymptotic relative submajorization
Deep Level Set for Box-supervised Instance Segmentation in Aerial Images
Unknown Input Observer Design for a class of Semilinear Hyperbolic Systems with Dynamic Boundary Conditions
MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwater
Securing Virtual Reality Experiences: Unveiling and Tackling Cybersickness Attacks with Explainable AI
Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
Entity Linking with people entity on Wikipedia
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition
Minimal-norm static feedbacks using dissipative Hamiltonian matrices
Extract ABox Modules for Efficient Ontology Querying
Galois Field Arithmetics for Linear Network Coding using AVX512 Instruction Set Extensions
Variational decision diagrams for quantum-inspired machine learning applications
Paraunitary Matrices, Entropy, Algebraic Condition Number and Fourier Computation
Which arithmetic operations can be performed in constant time in the RAM model with addition?
Linear-frictional contact model for 3D discrete element simulations of granular systems
Transceiver Design with Matrix-Version Water-Filling Solutions under Mixed Power Constraints
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
Greedy Signal Space Methods for incoherence and beyond
Predicting User Stances from Target-Agnostic Information using Large Language Models
MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
Automatic Network Fingerprinting through Single-Node Motifs
ResCap-DBP: A Lightweight Residual-Capsule Network for Accurate DNA-Binding Protein Prediction Using Global ProteinBERT Embeddings
A Flow-aware MAC Protocol for a Passive Optical Metropolitan Area Network
LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation
Discriminative Online Learning for Fast Video Object Segmentation
Disentangling Embedding Spaces with Minimal Distributional Assumptions
BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
A Unifying Framework to Enable Artificial Intelligence in High Performance Computing Workflows
Optimizing Inventory Placement for a Downstream Online Matching Problem
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
Diffusion Representation for Asymmetric Kernels
Hardware Trojan Attacks on Neural Networks
Predictive-CSM: Lightweight Fragment Security for 6LoWPAN IoT Networks
Linear-Programming based Approximation Algorithms for Multi-Vehicle Minimum Latency Problems
TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos
Computing Vanishing Ideals for Toric Codes
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions
Mathematics of natural intelligence
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Spectrally Consistent UNet for High Fidelity Image Transformations
Teaching Continuity in Robotics Labs in the Age of Covid and Beyond
Chemist Eye: A Visual Language Model-Powered System for Safety Monitoring and Robot Decision-Making in Self-Driving Laboratories
Ocean Diviner: A Diffusion-Augmented Reinforcement Learning for AUV Robust Control in the Underwater Tasks
QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patients
Monitoring the Impacts of a Tailings Dam Failure Using Satellite Images
Training large margin host-pathogen protein-protein interaction predictors
Spectrum Sharing between High Altitude Platform Network and Terrestrial Network: Modeling and Performance Analysis
Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction
Computing Classic Closeness Centrality, at Scale
CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain
Deterministic pushdown automata and unary languages
Exploiting Submodular Value Functions For Scaling Up Active Perception
Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning
On the inequality of the 3V's of Big Data Architectural Paradigms: A case for heterogeneity
Introduction to Symbolic Regression in the Physical Sciences
Energy-Economic Multiple Incremental/Decremental Kernel Ridge Regression for Green Clouds
Single SMPC Invocation DPHelmet: Differentially Private Distributed Learning on a Large Scale
On the Structural Parameterizations of 2-Club with Triangle Constraints
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation
Phase Retrieval Via Reweighted Wirtinger Flow
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
Verifiable Network-Performance Measurements
ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement
Probabilistic partition of unity networks for high-dimensional regression problems
Learning with Statistical Equality Constraints
Learning to coordinate without communication in multi-user multi-armed bandit problems
Named Entity Recognition of Historical Text via Large Language Model
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
Characterizing Lane-Changing Behavior in Mixed Traffic
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters
STACI: Spatio-Temporal Aleatoric Conformal Inference
Coupled IEEE 802.11ac and TCP Goodput improvement using Aggregation and Reverse Direction
Extraction of Keyphrases from Text: Evaluation of Four Algorithms
Fast genomic optical map assembly algorithm using binary representation
DAGs for the Masses
Inverse reinforcement learning for video games
Flexible Physical Camouflage Generation Based on a Differential Approach
An efficient multiple harmonic balance method for computing quasi-periodic responses of nonlinear systems
Fast Statistical Timing Analysis for Circuits with Post-Silicon Tunable Clock Buffers
Real-Time Scene Reconstruction using Light Field Probes
Abstract Stobjs and Their Application to ISA Modeling
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
MoRoCo: Multi-operator-robot Coordination, Interaction and Exploration under Restricted Communication
Extracting Summary Knowledge Graphs from Long Documents
Fixed stress splitting approach for contact problems in a porous medium
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints
Near Capacity Approaching for Large MIMO Systems by Non-Binary LDPC Codes with MMSE Detection
Capacity Outer Bound and Degrees of Freedom of Wiener Phase Noise Channels with Oversampling
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy
Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks
ATTACC the Quadratic Bottleneck of Attention Layers
Are Top School Students More Critical of Their Professors? Mining Comments on RateMyProfessor.com
Improving Anomalous Sound Detection via Low-Rank Adaptation Fine-Tuning of Pre-Trained Audio Models
GLOFNet - A Multimodal Dataset for GLOF Monitoring and Prediction
Reliability Models for Highly Fault-tolerant Storage Systems
XML framework for concept description and knowledge representation
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)
SoK: An Overview of PPG's Application in Authentication
On the State Complexity of the Reverse of R- and J-trivial Regular Languages
Tight Hardness Results for Distance and Centrality Problems in Constant Degree Graphs
A Tightly Coupled IMU-Based Motion Capture Approach for Estimating Multibody Kinematics and Kinetics
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
4D Segmentation Algorithm with application to 3D+time Image Segmentation
Active learning using weakly supervised signals for quality inspection
The duo Fenchel-Young divergence
MBSS-T1: Model-Based Self-Supervised Motion Correction for Robust Cardiac T1 Mapping
Measuring and Visualizing Place-Based Space-Time Job Accessibility
Gore Diffusion LoRA Model
From Control to Mathematics-Part II: Observability-Based Design for Iterative Methods in Solving Linear Equations
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning
Application Independent Energy Efficient Data Aggregation in Wireless Sensor Networks
Identifying (anti-)skyrmions while they form
The Visualization of the Road Coloring Algorithm in the package TESTAS
Projecting to Manifolds via Unsupervised Learning
Numerical Techniques for Finding the Distances of Quantum Codes
Reducing Tail Latencies Through Environment- and Neighbour-aware Thread Management
Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes
Stepwise global error control in Euler's method using the DP853 triple and the Taylor remainder term
Adaptive Discretization for Consistency Models
Optimizing the Cost for Resource Subscription Policy in IaaS Cloud
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
Weighted and Near Weighted Potential Games with Application to Game Theoretic Control
MRI Scan Synthesis Methods based on Clustering and Pix2Pix
Hodge theoretic reward allocation for generalized cooperative games on graphs
Optimizing ETL Dataflow Using Shared Caching and Parallelization Methods
Causal/Predictive Imperfect Channel State Information in Block-Fading Channels
Reservoir Computing using Stochastic p-Bits
Contract-based Hierarchical Resilience Management for Cyber-Physical Systems
EPTAS for k-means Clustering of Affine Subspaces
TexTAR : Textual Attribute Recognition in Multi-domain and Multi-lingual Document Images
Robustness Evaluation of the Butterfly Optimization Algorithm on a Control System
Projection image-to-image translation in hybrid X-ray/MR imaging
Information correlated Lévy walk exploration and distributed mapping using a swarm of robots
Swarm Contract: A Multi-Sovereign Agent Consensus Mechanism
GSTR: Secure Multi-hop Message Dissemination in Connected Vehicles using Social Trust Model
Relational Local Explanations
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime
Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation
NECO - A scalable algorithm for NEtwork COntrol
Mesh Denoising based on Normal Voting Tensor and Binary Optimization
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models
Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models
Introduction to Soar
Performance Evaluation of User Scheduling for Full-Duplex Small Cells in Ultra-Dense Networks
A New Perspective for Hoare's Logic and Peano's Arithmetic
More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering
Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models
A vector-contraction inequality for Rademacher complexities
Real-time Regular Expression Matching
Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation
Harmonic Analysis
Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment
Stochastic Gradient Langevin Dynamics Based on Quantized Optimization
Stream Efficient Learning
Aesthetics is Cheap, Show me the Text: An Empirical Evaluation of State-of-the-Art Generative Models for OCR
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools
Robust Burned Area Delineation through Multitask Learning
SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning
Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Trained Latent Space Navigation to Prevent Lack of Photorealism in Generated Images on Style-based Models
Extractive Summarization via Weighted Dissimilarity and Importance Aligned Key Iterative Algorithm
TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery
Deep-BIAS: Detecting Structural Bias using Explainable AI
Consecutive Power Occurrences in Sturmian Words
Musical instrument sound classification with deep convolutional neural network using feature fusion approach
BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain
Dynamic Caustics by Ultrasonically Modulated Liquid Surface
Real-time clustering and multi-target tracking using event-based sensors