yusuke1997/dblp-id-title huggingface dataset:
A Dwarf-based Scalable Big Data Benchmarking Methodology
Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
An energy-stable parametric finite element method for the Willmore flow in three dimensions
Unsupervised Multi-stream Highlight detection for the Game "Honor of Kings"
Threshold Saturation on BMS Channels via Spatial Coupling
UniDB++: Fast Sampling of Unified Diffusion Bridge
Locally recoverable codes with multiple recovering sets from maximal curves
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
Finding Low-rank Solutions to Matrix Problems, Efficiently and Provably
Propositional satisfiability in declarative programming
FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators
Proving there is a leader without naming it
Synergetic Learning Systems: Concept, Architecture, and Algorithms
Blockchain as privacy and security solution for smart environments: A Survey
Does Crowdfunding Really Foster Innovation? Evidence from the Board Game Industry
Audio-Visual Event Recognition through the lens of Adversary
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
MSMD-Net: Deep Stereo Matching with Multi-scale and Multi-dimension Cost Volume
Photo Dating by Facial Age Aggregation
Neural network based country wise risk prediction of COVID-19
Beamforming and Power Splitting Designs for AN-aided Secure Multi-user MIMO SWIPT Systems
Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks
Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation
Analytical Probability Distributions and EM-Learning for Deep Generative Networks
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems
Autonomous Crosslink Radionavigation for a Lunar CubeSat Mission
On Calibration and Conformal Prediction of Deep Classifiers
In vivo validation of Wireless Power Transfer System for Magnetically Controlled Robotic Capsule Endoscopy
Adding Real-time Capabilities to a SML Compiler
A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation
Real-Time Reconstruction of Counting Process through Queues
Source-channel separation for two-way interactive communication with fidelity criteria
Evaluation of Suitability of Different Transient Stability Indices for Identification of Critical System States
PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation
While Tuning is Good, No Tuner is Best
RE-Tagger: A light-weight Real-Estate Image Classifier
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
Listener-Position and Orientation Dependency of Auditory Perception in an Enclosed Space: Elicitation of Salient Attributes
Identifying Unique Causal Network from Nonstationary Time Series
MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction
NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization
Biofilms as poroelastic materials
VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction
Considerations and Challenges of Measuring Operator Performance in Telepresence and Teleoperation Entailing Mixed Reality Technologies
DroidAnalytics: A Signature Based Analytic System to Collect, Extract, Analyze and Associate Android Malware
AI's Euclid's Elements Moment: From Language Models to Computable Thought
NNCP: A citation count prediction methodology based on deep neural network learning techniques
Systematic Evaluation of Deep Learning Models for Failure Prediction
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data
New Algorithms for Unordered Tree Inclusion
Joint Optimization of Application Specific Routing in an Anycast Network
Bounds for Multiple Packing and List-Decoding Error Exponents
Random Sequential Renormalization
Learning Compact Recurrent Neural Networks
$d$-MABE: Distributed Multilevel Attribute-Based EMR Management and Applications
MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
On the Structural Properties of Social Networks and their Measurement-calibrated Synthetic Counterparts
Peeking Into The Future For Contextual Biasing
eHashPipe: Lightweight Top-K and Per-PID Resource Monitoring with eBPF
Wearable Respiration Monitoring: Interpretable Inference with Context and Sensor Biomarkers
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks
Model Of Information System Towards Harmonized Industry And Computer Science
Energy Storage System Design for a Power Buffer System to Provide Load Ride-through
The Novel Approach to the Closed-Form Average Bit Error Rate Calculation for the Nakagami-m Fading Channel
Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure
Residual Networks: Lyapunov Stability and Convex Decomposition
Guided Policy Search for Parameterized Skills using Adverbs
Generating a Contact Matrix for Aged Care Settings in Australia: an agent-based model study
Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems
Advertising for Demographically Fair Outcomes
About Instruction Sequence Testing
Use of Devolved Controllers in Data Center Networks
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
HEDRA: A Bio-Inspired Modular Tensegrity Soft Robot With Polyhedral Parallel Modules
The Blockchain Game: Synthesis of Byzantine Systems and Nash Equilibria
A Fast Interpretable Fuzzy Tree Learner
Bayesian Optimisation: Which Constraints Matter?
Generalised Multi-sequence Shift-Register Synthesis using Module Minimisation
Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration
On the Availability of ESO Data Papers on arXiv/astro-ph
Energy Aware, Scalable, K-Hop Based Cluster Formation In MANET
Non-Linear Model-Based Sequential Decision-Making in Agriculture
A numerical analysis of planar central and balanced configurations in the (n+1)-body problem with a small mass
Learned Feature Attribution Priors
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
Multi-View Graph Embedding Using Randomized Shortest Paths
A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria
A Survey of Attacks on Large Language Models
Análise comparativa de pesquisas de origens e destinos: uma abordagem baseada em Redes Complexas
Internet of Things: Digital Footprints Carry A Device Identity
Decision Tree-Based Predictive Models for Academic Achievement Using College Students' Support Networks
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning
Towards Context-Aware Domain Generalization: Representing Environments with Permutation-Invariant Networks
Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation
The combinatorial algorithm for computing π(x)
SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs
Facial Expression Recognition using Facial Landmark Detection and Feature Extraction via Neural Networks
SustainableQA: A Comprehensive Question Answering Dataset for Corporate Sustainability and EU Taxonomy Reporting
Face Reconstruction with Variational Autoencoder and Face Masks
MVP: Multimodal Emotion Recognition based on Video and Physiological Signals
Interactive 3D Character Modeling from 2D Orthogonal Drawings with Annotations
Constructing Effective Machine Learning Models for the Sciences: A Multidisciplinary Perspective
Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability
The object detection model uses combined extraction with KNN and RF classification
A Bound Preserving Energy Stable Scheme for a Nonlocal Cahn-Hilliard Equation
A Survey of Algorithms for Black-Box Safety Validation
Evolutionary dynamics of group interactions on structured populations: A review
Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs
Stable Marriage with Covering Constraints: A Complete Computational Trichotomy
Prosody leaks into the memories of words
Unscented Optimal Control for 3D Coverage Planning with an Autonomous UAV Agent
Riemannian Time Warping: Multiple Sequence Alignment in Curved Spaces
Scalable Frameworks for Real-World Audio-Visual Speech Recognition
Online Self-Preferring Language Models
BEV2PR: BEV-Enhanced Visual Place Recognition with Structural Cues
End-to-end Listen, Look, Speak and Act
Slepian Spatial-Spectral Concentration on the Ball
Addestramento con Dataset Sbilanciati
A domain-theoretic framework for conditional probability and Bayesian updating in programming
Cultural, Economic and Societal Impacts on Users' Behaviour and Mobile Broadband Adoption Trends
Robust Fine-tuning for Pre-trained 3D Point Cloud Models
Free-form Grid Structure Form Finding based on Machine Learning and Multi-objective Optimisation
Knowledge Retrieval With Functional Object-Oriented Networks
RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods
The stable set polytope of ($P_6$, triangle)-free graphs and new facet-inducing graphs
Opinion Dynamics with Backfire Effect and Biased Assimilation
Beam Geometry and Input Dimensionality: Impact on Sparse-Sampling Artifact Correction for Clinical CT with U-Nets
Connectivity of Underlay Cognitive Radio Networks with Directional Antennas
GRDN: Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling
SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis
Exploring the Deep Feature Space of a Cell Classification Neural Network
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
SamLP: A Customized Segment Anything Model for License Plate Detection
The Costly Dilemma: Generalization, Evaluation and Cost-Optimal Deployment of Large Language Models
An Efficient Canonical Narrowing Implementation with Irreducibility and SMT Constraints for Generic Symbolic Protocol Analysis
Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models
Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach
Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations
Determining possible avenues of approach using ANTS
Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)
Pose Invariant Embedding for Deep Person Re-identification
Low-Dose CT Image Enhancement Using Deep Learning
Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild
Post-quantum Multi-stage Secret Sharing Schemes using Inhomogeneous Linear Recursion and Ajtai's Function
A Survey of Open Source User Activity Traces with Applications to User Mobility Characterization and Modeling
Analysis of False Data Injection Impact on AI based Solar Photovoltaic Power Generation Forecasting
Automated Monitoring of Cultural Heritage Artifacts Using Semantic Segmentation
The problematic nature of potentially polynomial-time algorithms solving the subset-sum problem
Quantum Codes from Generalized Reed-Solomon Codes and Matrix-Product Codes
On the Performance of Cooperative Spectrum Sensing under Quantization
Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba
LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented Generation
Multivariate Partial Information Decomposition: Constructions, Inconsistencies, and Alternative Measures
Continual Unlearning for Foundational Text-to-Image Models without Generalization Erosion
Function Approximation for High-Energy Physics: Comparing Machine Learning and Interpolation Methods
Accuracy-Privacy Trade-off in Deep Ensembles
DarkGram: Exploring and Mitigating Cybercriminal content shared in Telegram channels
A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
Recurring Turking: Conducting Daily Task Studies on Mechanical Turk
Learning Interpretable Concept-Based Models with Human Feedback
Privacy Preserving Decision Tree Training and Prediction via Fully Homomorphic Encryption with No Decryption
Group separation strikes back
A note on minimal art galleries
Excuse Me! or The Courteous Theatregoers' Problem
Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic
DOD-SA: Infrared-Visible Decoupled Object Detection with Single-Modality Annotations
AnalysisGNN: Unified Music Analysis with Graph Neural Networks
Asking Complex Questions with Multi-hop Answer-focused Reasoning
How to Get Actual Privacy and Utility from Privacy Models: the k-Anonymity and Differential Privacy Families
Towards Formalizing the GDPR's Notion of Singling Out
Attraction by ingroup coherence drives the emergence of ideological sorting
An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation
Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity
Confidential Attestation: Efficient in-Enclave Verification of Privacy Policy Compliance
Stickler: Defending Against Malicious CDNs in an Unmodified Browser
Open-Domain Dialogue Generation Based on Pre-trained Language Models
Social Recommendation With Local Low Rank Matrix Approximation
Structuring ontologies in a context of collaborative system modelling
Better approximation algorithm for point-set diameter
OrdRankBen: A Novel Ranking Benchmark for Ordinal Relevance in NLP
Enhancing Talent Employment Insights Through Feature Extraction with LLM Finetuning
Object Detection based on Region Decomposition and Assembly
Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
Friendship and Selfishness Forwarding: applying machine learning techniques to Opportunistic Networks data forwarding
Detection and Characterization of Coordinated Online Behavior: A Survey
iKUN: Speak to Trackers without Retraining
Community Detection in Social Network using Temporal Data
Temporally Extended Successor Representations
MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering
Efficient Morphology-Aware Policy Transfer to New Embodiments
Graph Energy-based Model for Substructure Preserving Molecular Design
A Weak Supervision Approach for Monitoring Recreational Drug Use Effects in Social Media
Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition
Personalized Dialogue Generation with Diversified Traits
A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal
Design and integration of end-effector for 3D printing of novel UV-curable shape memory polymers with a collaborative robotic system
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification
Upper Esophageal Sphincter Opening Segmentation with Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation
Strategies for the Design of a Slide-o-Cam Transmission
Designing GANs: A Likelihood Ratio Approach
MicroNAS: An Automated Framework for Developing a Fall Detection System
Implicit Dual-Control for Visibility-Aware Navigation in Unstructured Environments
Large Language Models can be Guided to Evade AI-Generated Text Detection
An Open Source, Fiducial Based, Visual-Inertial State Estimation System
Capacity-Achieving Private Information Retrieval Schemes from Uncoded Storage Constrained Servers with Low Sub-packetization
Teacher-Guided Pseudo Supervision and Cross-Modal Alignment for Audio-Visual Video Parsing
An Information Bottleneck Asset Pricing Model
Physics-informed diffusion models for extrapolating crystal structures beyond known motifs
RE-RFME: Real-Estate RFME Model for customer segmentation
An embedded multichannel sound acquisition system for drone audition
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles
GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signals
Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network
Discriminative Segmental Cascades for Feature-Rich Phone Recognition
AlzheimerRAG: Multimodal Retrieval Augmented Generation for PubMed articles
Can generalised relative pose estimation solve sparse 3D registration?
Identification of emotions on Twitter during the 2022 electoral process in Colombia
Learning and Inference of Dexterous Grasps for Novel Objects with Underactuated Hands
Variational Autoencoder Kernel Interpretation and Selection for Classification
The uniform controllability property of semidiscrete approximations for the parabolic distributed parameter systems in Banach spaces
Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining
Dehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training
RegistrationMamba: A Mamba-based Registration Framework Integrating Multi-Expert Feature Learning for Cross-Modal Remote Sensing Images
Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations
VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet
Extensions to the Proximal Distance of Method of Constrained Optimization
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation
Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping
A Probabilistic Representation of Deep Learning for Improving The Information Theoretic Interpretability
D-CIPHER: Dynamic Collaborative Intelligent Agents with Planning and Heterogeneous Execution for Enhanced Reasoning in Offensive Security
Social influence makes self-interested crowds smarter: an optimal control perspective
Optimistic Dynamic Regret Bounds
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
FogGrid: Leveraging Fog Computing for Enhanced Smart Grid Network
RealDPO: Real or Not Real, that is the Preference
Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies
Advancing 3D Medical Image Segmentation: Unleashing the Potential of Planarian Neural Networks in Artificial Intelligence
GNN-ACLP: Graph Neural Networks based Analog Circuit Link Prediction
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
Integration of Text-maps in Convolutional Neural Networks for Region Detection among Different Textual Categories
Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems
DISTEA: Efficient Dynamic Impact Analysis for Distributed Systems
Accelerating Elliptic Curve Point Additions on Versal AI Engine for Multi-scalar Multiplication
Simultaneous Genetic Evolution of Neural Networks for Optimal SFC Embedding
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
Zero Energy Network stack for Energy Harvested WSNs
Transformers for 1D Signals in Parkinson's Disease Detection from Gait
Experts are all you need: A Composable Framework for Large Language Model Inference
Real time multibody modeling and simulation of a scaled bogie test rig
Robust Extensible Bin Packing and Revisiting the Convex Knapsack Problem
Efficient and Compliant Control Framework for Versatile Human-Humanoid Collaborative Transportation
Computer of Things a Proposal to Speed up IoT Development
Commentary on explainable artificial intelligence methods: SHAP and LIME
Compound and Parallel Modes of Tropical Convolutional Neural Networks
'Q-Feed' - An Effective Solution for the Free-riding Problem in Unstructured P2P Networks
Smart Communities Internet of Things
TTSnap: Test-Time Scaling of Diffusion Models via Noise-Aware Pruning
F-formation Detection: Individuating Free-standing Conversational Groups in Images
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models
Multi-Speaker Expressive Speech Synthesis via Semi-supervised Contrastive Learning
GADFormer: An Attention-based Model for Group Anomaly Detection on Trajectories
Static Scheduling with Predictions Learned through Efficient Exploration
Twin-beam real-time position estimation of micro-objects in 3D
RewardRank: Optimizing True Learning-to-Rank Utility
Exploring patient trust in clinical advice from AI-driven LLMs like ChatGPT for self-diagnosis
A Survey of Maturity Models from Nolon to DevOps and Their Applications in Process Improvement
Towards Sparse Hierarchical Graph Classifiers
The Benefits of Deploying a Second Relay in Multi-User Cooperative Wireless Systems: A Networking Perspective
Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
Multi-layer Bit-wise Unequal Error Protection for Variable Length Blockcodes with Feedback
Transparent Model Distillation
Complexity and Efficient Algorithms for Data Inconsistency Evaluating and Repairing
Motion Anything: Any to Motion Generation
Implementation of Chua's chaotic oscillator with an HP memristor
Spectral Dictionary Learning for Generative Image Modeling
Hey Pentti, We Did It!: A Fully Vector-Symbolic Lisp
Science-Informed Deep Learning (ScIDL) With Applications to Wireless Communications
Predicting the Impact of Generative AI Using an Agent-Based Model
Binary perceptron computational gap - a parametric fl RDT view
Compression of Higher Order Ambisonics with Multichannel RVQGAN
UAVDB: Trajectory-Guided Adaptable Bounding Boxes for UAV Detection
Speech enhancement with weakly labelled data from AudioSet
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
Element-wise Multiplication Based Physics-informed Neural Networks
Dandelion-Picking Legged Robot
A Novel Online Real-time Classifier for Multi-label Data Streams
Estimating the size of a set using cascading exclusion
Geometry of Score Based Generative Models
Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting
Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning
Compiling a Higher-Order Smart Contract Language to LLVM
Role of coupled electrochemistry and stress on the Li-anode instability: A continuum approach