yusuke1997/dblp-id-title huggingface dataset:
Rethinking Drone-Based Search and Rescue with Aerial Person Detection
Real-time Lane detection and Motion Planning in Raspberry Pi and Arduino for an Autonomous Vehicle Prototype
Classification with Repulsion Tensors: A Case Study on Face Recognition
Can Small-Scale Data Poisoning Exacerbate Dialect-Linked Biases in Large Language Models?
Inconsistency-Aware Cross-Attention for Audio-Visual Fusion in Dimensional Emotion Recognition
Multi-Sensor Terrestrial SLAM for Real-Time, Large-Scale, and GNSS-Interrupted Forest Mapping
SemBench: A Benchmark for Semantic Query Processing Engines
Partial Identifiability and Misspecification in Inverse Reinforcement Learning
Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime
Handling Flash-Crowd Events to Improve the Performance of Web Applications
Rethinking Layer Removal: Preserving Critical Components with Task-Aware Singular Value Decomposition
Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction
Statistical Regression to Predict Total Cumulative CPU Usage of MapReduce Jobs
Preferential stiffness and the crack-tip fields of an elastic porous solid based on the density-dependent moduli model
Prion-ViT: Prions-Inspired Vision Transformers for Temperature prediction with Specklegrams
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
Affiliation-based Local Community Detection across Multiple Networks
tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure
Finding a Needle in an Exponential Haystack: Discrete RRT for Exploration of Implicit Roadmaps in Multi-Robot Motion Planning
Throughput Optimal Uplink Scheduling in Heterogeneous PLC and LTE Communication for Delay Aware Smart Grid Applications
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
A Precis of Language Models are not Models of Language
Discretization of Temporal Data: A Survey
Capturing Visualization Design Rationale
A Demand-aware Networked System Using Telemetry and ML with ReactNET
Points2Surf: Learning Implicit Surfaces from Point Cloud Patches
Hyperbolic Dataset Distillation
4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: a case study of Hartsfield-Jackson Atlanta International Airport(ATL)
On the communication complexity of finding a king in a tournament
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations
The State of Aerial Surveillance: A Survey
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
The Relationship Between Multiplicative Complexity and Nonlinearity
A General and Efficient Federated Split Learning with Pre-trained Image Transformers for Heterogeneous Data
Optimal approximation of C k -functions using shallow complex-valued neural networks
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
Nonconforming finite element approximations and the analysis of Nitsche's method for a singularly perturbed quad-curl problem in three dimensions
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation
Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
FedGen: Generalizable Federated Learning
Geodesic regression
Adversarial Examples that Fool both Human and Computer Vision
Safe Chance Constrained Reinforcement Learning for Batch Process Control
A Multi-size Kernel based Adaptive Convolutional Neural Network for Bearing Fault Diagnosis
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study
topFiberM: Scalable and Efficient Boolean Matrix Factorization
Mind the Gap: A Framework (BehaveFIT) Guiding The Use of Immersive Technologies in Behavior Change Processes
Classification-based Approximate Policy Iteration: Experiments and Extended Discussions
Understanding Information Storage and Transfer in Multi-modal Large Language Models
Power System Architecture and Control for Green Hydrogen Production via Power Converter-less Photovoltaic-Electrolyser Integration
A Method for Constructing Wavelet Functions on the Real Number Field
Networked Communication for Decentralised Agents in Mean-Field Games
Thresholds of Spatially Coupled Systems via Lyapunov's Method
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
Three-dimensional Cooperative Localization of Commercial-Off-The-Shelf Sensors
Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks
A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem
Discretize first, filter next: learning divergence-consistent closure models for large-eddy simulation
Few-Shot Learning-Based Human Activity Recognition
Ask and You Shall be Served: Representing and Solving Multi-agent Optimization Problems with Service Requesters and Providers
Adventures with Grace Hopper AI Super Chip and the National Research Platform
Security Analysis of Near-Field Communication (NFC) Payments
Fault-Tolerant Consensus in Quantum Networks
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning
Null Space Properties of Neural Networks with Applications to Image Steganography
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency
Using sequential drift detection to test the API economy
DeepPropNet - A Recursive Deep Propagator Neural Network for Learning Evolution PDE Operators
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction
An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
Concept Navigation and Classification via Open Source Large Language Model Processing
Efficiency of (Revenue-)Optimal Mechanisms
Property Graph Exchange Format
Gradual C0: Symbolic Execution for Efficient Gradual Verification
A Multi-Camera Image Processing and Visualization System for Train Safety Assessment
Optical Flow Based Online Moving Foreground Analysis
A distributed file system for a wide-area high performance computing infrastructure
Correlation, Linear Complexity, Maximum order Complexity on Families of binary Sequences
Experiencer-Specific Emotion and Appraisal Prediction
Perfect Sampling of q-Spin Systems on ℤ 2 via Weak Spatial Mixing
Adaptive Control for Marine Vessels Against Harsh Environmental Variation
Wave scattering with time-periodic coefficients: Energy estimates and harmonic formulations
A Modular Inference of Linear Types for Multiplicity-Annotated Arrows
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images
Energy Pricing in P2P Energy Systems Using Reinforcement Learning
On the Non-Termination of Ruppert's Algorithm
Automatic Instruction Optimization for Open-source LLM Instruction Tuning
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant
Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier
A Deep Learning Framework to Reconstruct Face under Mask
What is Best for Students, Numerical Scores or Letter Grades?
Facial Emotion Learning with Text-Guided Multiview Fusion via Vision-Language Model for 3D/4D Facial Expression Recognition
Generative Optimization Networks for Memory Efficient Data Generation
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
Cell Oscillation Resolution in Mobility Profile Building
Coded DS-CDMA Systems with Iterative Channel Estimation and no Pilot Symbols
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization Techniques
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting
Counting Polynomial Roots in Isabelle/HOL: A Formal Proof of the Budan-Fourier Theorem
GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance
Rate of Learning in Hierarchical Social Networks
Inner-Scene Similarities as a Contextual Cue for Object Detection
Style-based Variational Autoencoder for Real-World Super-Resolution
Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data
MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning
Backdoor Attack through Machine Unlearning
Safe Explicable Policy Search
Almost conservation of the harmonic actions for fully discretized nonlinear Klein-Gordon equations at low regularity
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling
Mitigating Error Accumulation in Co-Speech Motion Generation via Global Rotation Diffusion and Multi-Level Constraints
A Parallel Data Compression Framework for Large Scale 3D Scientific Data
Video-rate multispectral imaging in laparoscopic surgery: First-in-human application
Learning to Answer Questions From Image using Convolutional Neural Network
Taxonomy of Big Data: A Survey
Towards introspective loop closure in 4D radar SLAM
Sentiment Transfer using Seq2Seq Adversarial Autoencoders
Adversarially robust clustering with optimality guarantees
InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents
PLDA-Based Diarization of Telephone Conversations
Observed Control - Linearly Scalable Nonlinear Model Predictive Control with Adaptive Horizons
Picket: Self-supervised Data Diagnostics for ML Pipelines
Volumes of logistic regression models and their use for model selection
Multi-agents architecture for supply chain management
Misinformation Detection using Large Language Models with Explainability
Rethinking Bias in Generative Data Augmentation for Medical AI: a Frequency Recalibration Method
The Effect of Social Learning on Individual Learning and Evolution
ALEA IACTA EST: A Declarative Domain-Specific Language for Manually Performable Random Experiments
Optimized Minimal 3D Gaussian Splatting
Manga109Dialog A Large-scale Dialogue Dataset for Comics Speaker Detection
Beyond Efficiency and Convenience. Using Post-growth Values as a Nucleus to Transform Design Education and Society
Learning predictive checklists from continuous medical data
Fault-Tolerant Performance Enhancement of DC-DC Converters with High-Speed Fault Clearing-unit based Redundant Power Switch Configurations
Riemannian Stochastic Interpolants for Amorphous Particle Systems
Machine Learning for Health symposium 2023 - Findings track
A hybrid PML formulation for the 2D three-field dynamic poroelastic equations
Automated Mosaic Tesserae Segmentation via Deep Learning Techniques
Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs
Comparative Uncertainty, Belief Functions and Accepted Beliefs
Layer-wise training of deep networks using kernel similarity
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
Extensive Large-Scale Study of Error in Samping-Based Distinct Value Estimators for Databases
Authentication Without Identification using Anonymous Credential System
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM Inference
Circular All-Or-Nothing: Revisiting Data Protection Against Key Exposure
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation
Conjugacy of reversible cellular automata
Heterogeneous Dense Subhypergraph Detection
Box Embeddings for the Description Logic EL++
Social and Political Framing in Search Engine Results
The Telephone k -Multicast Problem
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization
Making Agile Development Processes fit for V-style Certification Procedures
Non-Conservative Diffusion and its Application to Social Network Analysis
LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle
Engineering the Hardware/Software Interface for Robotic Platforms - A Comparison of Applied Model Checking with Prolog and Alloy
Enabling Dataflow Optimization for Quantum Programs
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI
Average Coset Weight Distribution of Combined LDPC Matrix Ensemble
Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI
Stable partitions in coalitional games
An Improved Move-To-Front(IMTF) Off-line Algorithm for the List Accessing Problem
FastPitch: Parallel Text-to-speech with Pitch Prediction
Using ChatGPT as a Static Application Security Testing Tool
Integrating Pre-Trained Language Model with Physical Layer Communications
Analyzing the HCP Datasets using GPUs: The Anatomy of a Science Engagement
Deep Collaborative Learning for Visual Recognition
Improving User Interface Generation Models from Designer Feedback
Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection
Loss Functions for Predictor-based Neural Architecture Search
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining
Unsupervised Clustering Approaches for Autism Screening: Achieving 95.31% Accuracy with a Gaussian Mixture Model
Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs
Inferring comparative advantage via entropy maximization
P2P Appliance Calculation Method For Trust between Nodes
Robust Integer Programming
Can Science and Technology Capacity be Measured?
What makes for effective detection proposals?
Time is not a Healer, but it Sure Makes Hindsight 20: 20
Measuring Centralization of Online Platforms Through Size and Interconnection of Communities
Probability of infection in SIR networks is NP-hard
Towards a Semantic Perceptual Image Metric
Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images
TWEAC: Transformer with Extendable QA Agent Classifiers
Finite element discretization methods for velocity-pressure and stream function formulations of surface Stokes equations
Relationship Detection on Tabular Data Using Statistical Analysis and Large Language Models
Quantum Perceptron Revisited: Computational-Statistical Tradeoffs
Performance Analysis of Fluid Antenna-aided Backscatter Communications Systems
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism
Disentangling causal effects for hierarchical reinforcement learning
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
Reducing Bias in Deep Learning Optimization: The RSGDM Approach
Local Exceptionality Detection in Time Series Using Subgroup Discovery
Implementations of efficient univariate polynomial matrix algorithms and application to bivariate resultants
ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
Nonovershooting Cooperative Output Regulation for Linear Multi-Agent Systems
Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions
Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing
A Data-Driven Approach to Estimate LEO Orbit Capacity Models
Self-Supervised Representation Learning for Adversarial Attack Detection
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Game-theoretic Objective Space Planning
Learning to Solve Related Linear Systems
SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios
Boundary-preserving Mask R-CNN
KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection
Noncooperative Market Allocation and the Formation of Downtown
Radio Interface for High Data Rate Wireless Sensor Networks
Building Movie Map - A Tool for Exploring Areas in a City - and its Evaluation
Stan: Small tumor-aware network for breast ultrasound image segmentation
Learning Graph ARMA Processes from Time-Vertex Spectra
A Heuristic Approach for Web-Service Discovery and Selection
A Study of Teleoperation Methods in a Simulated Virtual Eye Surgery Environment
ReaCritic: Large Reasoning Transformer-based DRL Critic-model Scaling For Heterogeneous Networks
Real time error detection in metal arc welding process using Artificial Neural Netwroks
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models
Robust End to End Speaker Verification Using EEG
Hyperbolic pseudoinverses for kinematics in the Euclidean group
Can Interpretation Predict Behavior on Unseen Data?
Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes
Markov Processes in Blockchain Systems
A survey on feature weighting based K-Means algorithms
Moving Target Defense for Service-oriented Mission-critical Networks
Interactive Proof Presentations with Cobra
Optimizing Relay Precoding for Wireless Coordinated Relaying
Sparsification of Matrices and Compressed Sensing
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling
Imperial College London Submission to VATEX Video Captioning Task
Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy
Prediction of the Received Power of Low-Power Networks Using Inertial Sensors
On the generalization of learned constraints for ASP solving in temporal domains
Scrutinizing uncitedness of selective Indian physics and astronomy journals through the prism of some h-type indicators
Scatteract: Automated extraction of data from scatter plots
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
A Bayesian Framework for learning governing Partial Differential Equation from Data
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Clicks, comments, consequences: Are content creators' socio-structural and platform characteristics shaping the exposure to negative sentiment, offensive language, and hate speech on YouTube?
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion
Improving distribution and flexible quantization for DCT coefficients
Pirus: A Web-based File Hosting Service with Object Oriented Logic in Cloud Computing
Nesterov Acceleration for Ensemble Kalman Inversion and Variants
Dithered quantizers with negligible in-band dither power
An Evaluation and Comparison of GPU Hardware and Solver Libraries for Accelerating the OPM Flow Reservoir Simulator
Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents
Toward Real Flare Removal: A Comprehensive Pipeline and A New Benchmark
Enhancing Systematic Reviews with Large Language Models: Using GPT-4 and Kimi
Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images
Entity-oriented spatial coding and discrete topological spatial relations
Separating Colored Points with Minimum Number of Rectangles
Optimal Distributed Voltage Control via Primal Dual Gradient Dynamics
Modeling Traffic Management in ATM Networks with OPNET
E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
Convexification for a Coefficient Inverse Problem of Mean Field Games
Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics
Benchmarking Large Language Models for Molecule Prediction Tasks
BotMosaic: Collaborative Network Watermark for Botnet Detection
A connection between String Covers and Cover Deterministic Finite Tree Automata Minimization
Scaling and context steer LLMs along the same computational path as the human brain
A Data-Driven Approach for High-Impedance Fault Localization in Distribution Systems
Dirichlet-Neumann and Neumann-Neumann waveform relaxation algorithms for time fractional sub-diffusion and diffusion-wave equations
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching
Robot Metabolism: Towards machines that can grow by consuming other machines
Adaptive Multi-Step Prediction based EKF to Power System Dynamic State Estimation
Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models
Dropping forward-backward algorithms for feature selection
IEEE 802.11ad-based Radar: An Approach to Joint Vehicular Communication-Radar System
Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localization
Edge-enhancing Filters with Negative Weights
Enhance Language Identification using Dual-mode Model with Knowledge Distillation
The Conceptual Integration Modeling Framework: Abstracting from the Multidimensional Model
Dot-Diffused Halftoning with Improved Homogeneity
WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation
On the existence and characterization of the maxent distribution under general moment inequality constraints
A practical Single Source Shortest Path algorithm for random directed graphs with arbitrary weight in expecting linear time
Validation: Conceptual versus Activity Diagram Approaches
Janus: Leveraging Incremental Computation for Efficient DNS Verification
Fixed-Length Protein Embeddings using Contextual Lenses
OSDG - Open-Source Approach to Classify Text Data by UN Sustainable Development Goals (SDGs)
What Makes Multimodal Learning Better than Single (Provably)
Mamba-Based Modality Disentanglement Network for Multi-Contrast MRI Reconstruction
Exploring Convolutional Networks for End-to-End Visual Servoing
A Model for General Intelligence
SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation
Dynamic web cache publishing for IaaS clouds using Shoal
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators
Selective Inference and Learning Mixed Graphical Models
Contextualization and Generalization in Entity and Relation Extraction
Decentralized Differentially Private Segmentation with PATE
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
Approaching the Gaussian channel capacity with APSK constellations
Convolutional Channel Features For Pedestrian, Face and Edge Detection
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints
ELA: Efficient Local Attention for Deep Convolutional Neural Networks
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization
Compact reconfigurable kirigami
Consequences of Unhappiness While Developing Software
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
Parameterized Complexity of Graph Partitioning into Connected Clusters
Regression Constraint for an Explainable Cervical Cancer Classifier
Avoiding the Internet of Insecure Industrial Things
Who is using AI to code? Global diffusion and impact of generative AI