yusuke1997/dblp-id-title huggingface dataset:
Do We Really Need Deep Learning Models for Time Series Forecasting?
The Contextual Loss for Image Transformation with Non-Aligned Data
Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization
Trajectory Generation for Quadrotor Based Systems using Numerical Optimal Control
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation
Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem
Flow-Acoustics: Theory and Benchmarking
Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood
A Unified Evaluation Framework for Multi-Annotator Tendency Learning
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models
Kinematics of motion tracking using computer vision
Defect prediction with bad smells in code
WHATSNEXT: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks
Large Language Models for Multi-Robot Systems: A Survey
Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations
MapSeg: Segmentation guided structured model for online HD map construction
Anomalous random walk of a greedy traveling salesman
Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model
Scaling Remote Sensing Foundation Models: Data Domain Tradeoffs at the Peta-Scale
A Modular Measurement Integrity Verification for Transformer Currents with Applications in Hardware in-the-Loop Digital Twin
Supervised Contrastive ResNet and Transfer Learning for the In-vehicle Intrusion Detection System
WIPUNet: A Physics-inspired Network with Weighted Inductive Biases for Image Denoising
On the Capacity of Self-Attention
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
GeoGebra e situações que envolvem modelação numa abordagem STEAM
Improving Pedestrian Priority via Grouping and Virtual Lanes
Verifying that a compiler preserves concurrent value-dependent information-flow security
Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models
Service Level Agreements and Security SLA: A Comprehensive Survey
A Survey and Experimental Analysis of Distributed Subgraph Matching
A comparison of two approaches for measuring interdisciplinary research output: the disciplinary diversity of authors vs the disciplinary diversity of the reference list
Shape and Spatially-Varying Reflectance Estimation From Virtual Exemplars
A neural circuit for navigation inspired by C. elegans Chemotaxis
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
Optimizing coverage of 3D Wireless Multimedia Sensor Networks by means of deploying redundant sensors
GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models
Coding by Design: GPT-4 empowers Agile Model Driven Development
The Landscape of Fairness: An Axiomatic and Predictive Framework for Network QoE Sensitivity
Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space
Hybrid Dialogue State Tracking for Persian Chatbots: A Language Model-Based Approach
Large Language Models as Reliable Knowledge Bases?
Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning
Borinot: an open thrust-torque-controlled robot for research on agile aerial-contact motion
A Real-Time Autonomous Highway Accident Detection Model Based on Big Data Processing and Computational Intelligence
Improving Large Language Model Fine-tuning for Solving Math Problems
Tangles: a new paradigm for clusters and types
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
Linking OpenStreetMap with Knowledge Graphs - Link Discovery for Schema-Agnostic Volunteered Geographic Information
Stand Up, NAO! Increasing the Reliability of Stand-Up Motions Through Error Compensation in Position Control
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery
Image Pre-processing Using OpenCV Library on MORPH-II Face Database
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving
Visual Acuity Consistent Foveated Rendering towards Retinal Resolution
Regularity of non context-free languages over a singleton terminal alphabet
Capsule Network based Contrastive Learning of Unsupervised Visual Representations
SDNet: mutil-branch for single image deraining using swin
On the asymptotics of wide networks with polynomial activations
Learning normalized image densities via dual score matching
Study of Memristor-based Oscillatory Neural Networks using PPV modeling
Dominance as an Indicator of Rapport and Learning in Human-Agent Communication
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching
Learning to Navigate by Growing Deep Networks
Gender Inequality in English Textbooks Around the World: an NLP Approach
FsimNNs: An Open-Source Graph Neural Network Platform for SEU Simulation-based Fault Injection
Fractal and Mathematical Morphology in Intricate Comparison between Tertiary Protein Structures
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
Fast Approximation of Polynomial Zeros and Matrix Eigenvalues
Structured spreadsheets with ObjTables enable data reuse and integration
Conterfactual Generative Zero-Shot Semantic Segmentation
Distributed-memory parallelization of the aggregated unfitted finite element method
Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition
Enhancing Mapless Trajectory Prediction through Knowledge Distillation
Approximation ratio of RePair
NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets
NushuRescue: Revitalization of the Endangered Nushu Language with AI
Strategies for Online Inference of Model-Based Clustering in large Networks
Deforestation Prediction Using Neural Networks and Satellite Imagery in a Spatial Information System
GS-Net: Generalizable Plug-and-Play 3D Gaussian Splatting Module
Ordering Regular Languages and Automata: Complexity
Efficient Resource Allocation in Resource provisioning policies over Resource Cloud Communication Paradigm
Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
Simultaneously Structured Models with Application to Sparse and Low-rank Matrices
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation
Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization
Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
DeepSVM: Learning Stochastic Volatility Models with Physics-Informed Deep Operator Networks
S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models
On Novel Fixed-Point-Type Iterations with Structure-Preserving Doubling Algorithms for Stochastic Continuous-time Algebraic Riccati equations
SVM and ANN based Classification of EMG signals by using PCA and LDA
The Minimum Euclidean-Norm Point on a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential
Analysis of the inference of ratings and rankings on Higher Order Networks with complex topologies
Deep reinforcement learning with symmetric data augmentation applied for aircraft lateral attitude tracking control
Cat-like Jumping and Landing of Legged Robots in Low-gravity Using Deep Reinforcement Learning
TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module
Data assimilation: A dynamic homotopy-based coupling approach
Mathematical Analysis of N-R Algorithm for Experimental Implementation of SHEPWM Control on Single-phase Inverter
Newton-Krylov-BDDC deluxe solvers for non-symmetric fully implicit time discretizations of the Bidomain model
Learning Portrait Style Representations
Exploring the Causal Relationship between Walkability and Affective Walking Experience: Evidence from 7 Major Tertiary Education Campuses in China
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies
An Automated Robotic Arm: A Machine Learning Approach
Privacy Guidelines for Internet of Things: A Cheat Sheet
Computational Aspects of a Numerical Model for Combustion Flow
Neural Network-based Power Flow Model
Aligning Human and Machine Attention for Enhanced Supervised Learning
Monocular Depth Estimation with Sharp Boundary
Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach
Robust Detection of Random Events with Spatially Correlated Data in Wireless Sensor Networks via Distributed Compressive Sensing
SemPPL: Predicting pseudo-labels for better contrastive representations
MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge
Trustworthy Artificial Intelligence in the Context of Metrology
Enhancing Wireless Device Identification through RF Fingerprinting: Leveraging Transient Energy Spectrum Analysis
Farm Environmental Data Analyzer using a Decentralised system and R
Distributed Quantum Computing with Fan-Out Operations and Qudits: the Case of Distributed Global Gates (a Preliminary Study)
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models
Looking around you: external information enhances representations for event sequences
Dynamic Meta-Learning for Adaptive XGBoost-Neural Ensembles
Modular Networks for Validating Community Detection Algorithms
Multimodal Search on Iconclass using Vision-Language Pre-Trained Models
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
Optimizations and Heuristics to improve Compression in Columnar Database Systems
Efficient Machine Translation Corpus Generation
Efficient Incremental Belief Updates Using Weighted Virtual Observations
Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations
Pre-examinations Improve Automated Metastases Detection on Cranial MRI
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
Detecting eigenvectors of an operator that are near a specified subspace
Reachability and Top-k Reachability Queries with Transfer Decay
Augmenting Channel Simulator and Semi- Supervised Learning for Efficient Indoor Positioning
Probabilistically Certified Region of Attraction of a Tumor Growth Model with Combined Chemo- and Immunotherapy
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
"Are We Done Yet?": A Vision-Based Judge for Autonomous Task Completion of Computer Use Agents
EFloat: Entropy-coded Floating Point Format for Deep Learning
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
ECHo: Event Causality Inference via Human-centric Reasoning
Signs of Struggle: Spotting Cognitive Distortions across Language and Register
MKL-L 0/1 -SVM
Synthetic Data for Discriminating Serotonergic Neurons using Convolutional Neural Networks
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning
EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment
Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients
Feature-Based Echo-State Networks: A Step Towards Interpretability and Minimalism in Reservoir Computer
Minutiae Based Thermal Face Recognition using Blood Perfusion Data
Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions
Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network
STABLAB Documentation for KdV : Numerical proof of stability of roll waves in the small-amplitude limit for inclined thin film flow
Explainable Machine Learning using Real, Synthetic and Augmented Fire Tests to Predict Fire Resistance and Spalling of RC Columns
MDS, Hermitian Almost MDS, and Gilbert-Varshamov Quantum Codes from Generalized Monomial-Cartesian Codes
PR-DARTS: Pruning-Based Differentiable Architecture Search
MetaWeather: Few-Shot Weather-Degraded Image Restoration via Degradation Pattern Matching
Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks
Saving the legacy of Hero Ibash: Evaluating Four Language Models for Aminoacian
Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds
Deterministic Protocol for Shared $Q$-queue $J$-choice $K$-best Secretary Problem
AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
Joint Visibility Region and Channel Estimation for Extremely Large-scale MIMO Systems
Constraints in Developing a Complete Bengali Optical Character Recognition System
The behaviour of the Gauss-Radau upper bound of the error norm in CG
A revised model of fluid transport optimization in Physarum polycephalum
ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation
Multi-View Stereo Network with attention thin volume
A Sparsity-Aware Adaptive Algorithm for Distributed Learning
Stiff Transfer Learning for Physics-Informed Neural Networks
Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
Federated Conditional Conformal Prediction via Generative Models
Audio Captioning Using Sound Event Detection
Stable low-rank matrix recovery via null space properties
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime
Physical Reduced Stochastic Equations for Continuously Monitored Non-Markovian Quantum Systems with a Markovian Embedding
Learning to Plan with Personalized Preferences
Rapid Development of Omics Data Analysis Applications through Vibe Coding
Better Sampling, towards Better End-to-end Small Object Detection
Sublinear data structures for short Fréchet queries
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
Position: Towards a Responsible LLM-empowered Multi-Agent Systems
Random smooth gray value transformations for cross modality learning with gray value invariant networks
Radio Resource Allocation Algorithms for Multi-Service OFDMA Networks: The Uniform Power Loading Scenario
Attention-aware Semantic Communications for Collaborative Inference
A Model-Predictive Motion Planner for the IARA Autonomous Car
Few-Step Distillation for Text-to-Image Generation: A Practical Guide
Some limitations of norm based generalization bounds in deep neural networks
The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer
$ε$-Kernel Coresets for Stochastic Points
Deep learning and hand-crafted features for virus image classification
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
Guided Pattern Mining for API Misuse Detection by Change-Based Code Analysis
The Effects of Engaging and Affective Behaviors of Virtual Agents in Group Decision-Making
Deep Energies for Estimating Three-Dimensional Facial Pose and Expression
WakeMod: A 6.9uW Wake-Up Radio Module with -72.6dBm Sensitivity for On-Demand IoT
Explicit and Non-asymptotic Query Complexities of Rank-Based Zeroth-order Algorithms on Smooth Functions
Physics-guided neural networks for feedforward control with input-to-state stability guarantees
Verification Condition Generation and Variable Conditions in Smallfoot
Federated Transformed Learning for a Circular, Secure, and Tiny AI
When a Graph is not so Simple: Counting Triangles in Multigraph Streams
Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding
Interleaved One-Shot SPS Performance under Smart DoS Attacks in C-V2X Networks
Adaptive Linear Programming Decoding of Polar Codes
Implementation of an aeroacoustic simulation pipeline using openCFS-Acoustics and openCFS-Data applied to human phonation
Safe Barrier-Constrained Control of Uncertain Systems via Event-triggered Learning
Multi-Proxy Multi-Signcryption Scheme from Pairings
ClearLines - Camera Calibration from Straight Lines
Signal Watermark on Large Language Models
Modeling Realistic Degradations in Non-blind Deconvolution
The Gaussian Wiretap Channel with a Helping Interferer
Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
The algorithmic nature of song-sequencing: statistical regularities in music albums
Efficient Serving of LLM Applications with Probabilistic Demand Modeling
Distributed Robust Continuous-Time Optimization Algorithms for Time-Varying Constrained Cost
Constraints on Meso-Scale Structure in Complex Networks
A space-time finite element method for the eddy current approximation of rotating electric machines
Interpretability Framework for LLMs in Undergraduate Calculus
CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks
Challenges in Persian Electronic Text Analysis
Online Distributed Optimization on Dynamic Networks
Online Sketch-based Query Optimization
Zero-shot detection of buildings in mobile LiDAR using Language Vision Model
Coopetitive Ad Auctions
Improved Bi-criteria Approximation for the All-or-Nothing Multicommodity Flow Problem in Arbitrary Networks
The Graph Structure of Chebyshev Polynomials over Finite Fields and Applications
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach
Synthesizing Safe and Efficient Kernel Extensions for Packet Processing
The Open Porous Media Flow Reservoir Simulator
Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization
Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning
Limits of Generalization in RLVR: Two Case Studies in Mathematical Reasoning
Fast Erasure Coding based on Polynomial Ring Transforms
Sparse Feedback Controller: From Open-loop Solution to Closed-loop Realization
FPIRM: Floating-point Processing in Racetrack Memories
Numerical Analysis of a High-Order Scheme for Nonlinear Fractional Differential Equations with Uniform Accuracy
A Lightweight and Flexible Mobile Agent Platform Tailored to Management Applications
Semantic Dependency in Microservice Architecture: A Framework for Definition and Detection
TRTAR: Transmissive RIS-assisted Through-the-wall Human Activity Recognition
An Extendable Maneuver Management Framework with Fault-Tolerant Mechanism for Vehicle Platoon Control System in Highway Scenario
MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training
On Distribution Patterns of Power Flow Solutions
Compact and Intuitive Airfoil Parameterization Method through Physics-aware Variational Autoencoder
A path to AI
Multi-Scale PCB Defect Detection with YOLOv8 Network Improved via Pruning and Lightweight Network
A New Distributed Evolutionary Computation Technique for Multi-Objective Optimization
Secret Key Agreement with Large Antenna Arrays under the Pilot Contamination Attack
TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge
Survey of Control-Flow Integrity Techniques for Embedded and Real-Time Embedded Systems
Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks
Model-Driven Rapid Prototyping for Control Algorithms with the GIPS Framework (System Description)
Opening up Open-World Tracking
On the Impact of the Utility in Semivalue-based Data Valuation
AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
Window Opening Model using Deep Learning Methods
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation
A LMI condition for the Robustness of Linear Predictor Feedback with Respect to Time-Varying Input Delays
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
Effects of Stratigraphy on Response of Energy Piles
Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization
A Benchmarking Proposal for DevOps Practices on Open Source Software Projects
Robustness, Scott Continuity, and Computability
Analyzing Brain Activity During Learning Tasks with EEG and Machine Learning
Unknown Health States Recognition With Collective Decision Based Deep Learning Networks In Predictive Maintenance Applications
A Frequency Scaling based Performance Indicator Framework for Big Data Systems
Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
Opinion formation and cyclic dominance in adaptive networks
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks
Grounded and Controllable Image Completion by Incorporating Lexical Semantics
NR-SLAM: Non-Rigid Monocular SLAM
Scalable and hyper-parameter-free non-parametric covariate shift adaptation with conditional sampling
SAEN-BGS: Energy-Efficient Spiking AutoEncoder Network for Background Subtraction
Implementing a Robot Intrusion Prevention System (RIPS) for ROS 2
Support-set based Multi-modal Representation Enhancement for Video Captioning
Multi-functional OFDM Signal Design for Integrated Sensing, Communications, and Power Transfer
Constraint based Modeling according to Reference Design
Towards Understanding the Effect of Pretraining Label Granularity
Modularity belief propagation on multilayer networks to detect significant community structure
Efficient Utilization of Channels Using Dynamic Guard Channel Allocation with Channel Borrowing Strategy in Handoffs
Coverage gain and Device-to-Device user Density: Stochastic Geometry Modeling and Analysis
Preliminary Performance Evaluation of a Satellite-to-HAP Communication Link
Self-Triggered Control in Artificial Pancreas
UFO 3 : Weaving the Digital Agent Galaxy
A combinatorial description of when a self-associated set of points fails to be arithmetically Gorenstein
Weak MSO: Automata and Expressiveness Modulo Bisimilarity
Instruction Mining: High-Quality Instruction Data Selection for Large Language Models
Set-Theoretic Completeness for Epistemic and Conditional Logic
Algorithm engineering for a quantum annealing platform
Machine Learning in Congestion Control: A Survey on Selected Algorithms and a New Roadmap to their Implementation
A Note on Deepfake Detection with Low-Resources
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera
A computational approach to rational summability and its applications via discrete residues
Writing Style Aware Document-level Event Extraction
Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation
Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory
Towards understanding deep learning with the natural clustering prior
NEDindex: A new metric for community structure in networks