yusuke1997/dblp-id-title huggingface dataset:
Development of a Feeding Assistive Robot Using a Six Degree of Freedom Robotic Arm
Data description and retrieval using periods represented by uncertain time intervals
Infinitely divisible privacy and beyond I: resolution of the s 2 =2k conjecture
Newton's Method Applied to Nonlinear Boundary Value Problems: A Numerical Approach
Sensing Throughput Optimization in Fading Cognitive Multiple Access Channels With Energy Harvesting Secondary Transmitters
Robo-taxi Fleet Coordination at Scale via Reinforcement Learning
Generative Modeling with Diffusion
TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response
Modeling Adverse Conditions in the Framework of Graph Transformation Systems
Digital holographic particle volume reconstruction using a deep neural network
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction
Managing Unbounded-Length Keys in Comparison-Driven Data Structures with Applications to On-Line Indexing
An Incremental Framework for Topological Dialogue Semantics: Efficient Reasoning in Discrete Spaces
Visually Grounding Instruction for History-Dependent Manipulation
Practical experiments with regular approximation of context-free languages
A Diagram Is Worth A Dozen Images
Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem
Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
Tree of Knowledge: an Online Platform for Learning the Behaviour of Complex Systems
Distributed Fuzzy Optimal Spectrum Sensing In Cognitive Radio
Reverse Engineering Point Clouds to Fit Tensor Product B-Spline Surfaces by Blending Local Fits
Graph-Based Parallel Large Scale Structure from Motion
Airplane Type Identification Based on Mask RCNN and Drone Images
QoS aware Automatic Web Service Composition with Multiple objectives
The SBP Algorithm for Maximizing Revenue in Online Dial-a-Ride
Sim-to-real Transfer of Visuo-motor Policies for Reaching in Clutter: Domain Randomization and Adaptation with Modular Networks
Non Linear Techniques for Increasing Harvesting Energy from Piezoelectric and Electromagnetic Micro-Power-Generators
A Practical Early-Stopped Technique and Analysis for BCH Decoding Algorithm
Mobile Broadband Possibilities considering the Arrival of IEEE 802.16m & LTE with an Emphasis on South Asia
Challenges of the QWERTY Keyboard for Quechua Speakers in the Puno Region in Perú
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
Proposed new dynamic power insertion method for stabilized power generation based on battery energy storage system
Heterogeneous relational message passing networks for molecular dynamics simulations
Reconstructing Embedded Graphs from Persistence Diagrams
MiVID: Multi-Strategic Self-Supervision for Video Frame Interpolation using Diffusion Model
No Cache Left Idle: Accelerating diffusion model via Extreme-slimming Caching
Self-supervised Hypergraph Representation Learning for Sociological Analysis
Iranian License Plate Recognition Using a Reliable Deep Learning Approach
Zero-cost meta-programmed stateful functors in F
Probing Latent Subspaces in LLM for AI Security: Identifying and Manipulating Adversarial States
CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data
Flexible Agent-based Modeling Framework to Evaluate Integrated Microtransit and Fixed-route Transit Designs: Mode Choice, Supernetworks, and Fleet Simulation
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model
Eco-driving Intelligent Systems and Algorithms: A Patent Review
Between Green Hills and Green Bills: Unveiling the Green Shades of Sustainability and Burden Shifting through Multi-Objective Optimization in Swiss Energy System Planning
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments
MORe DWR: Space-time goal-oriented error control for incremental POD-based ROM
Approximate Trace Reconstruction
Car drivers' privacy concerns and trust perceptions
Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
CRENER: A Character Relation Enhanced Chinese NER Model
Neumann series of Bessel functions in direct and inverse spherically symmetric transmission eigenvalue problems
P-matrix recognition is co-NP-complete
Lp-Norm Constrained One-Class Classifier Combination
Massive Antenna Arrays with Low Front-End Hardware Complexity: An Enabling Technology for the Emerging Small Cell and Distributed Network Architectures
Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination
GDKVM: Echocardiography Video Segmentation via Spatiotemporal Key-Value Memory with Gated Delta Rule
Gait Identification under Surveillance Environment based on Human Skeleton
A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment
Auditable Versioned Data Storage Outsourcing
General Source-Channel Matching for Sources with Memory
Adaptive Mirror Descent Bilevel Optimization
Caching and Coded Delivery over Gaussian Broadcast Channels for Energy Efficiency
Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019
Topological Feature Selection: A Graph-Based Filter Feature Selection Approach
BIDCD - Bosch Industrial Depth Completion Dataset
A novel approach to Service Discovery in Mobile Adhoc Network
Social Network Analysis as a tool to analyze interaction of Batsmen and Bowlers in Cricket
Non-Linear Programming: Maximize SNR for Designing Spreading Sequence - Part I: SNR versus Mean-Square Correlation
Data-Driven Distributionally Robust Control for Interacting Agents under Logical Constraints
Physical Reinforcement Learning
Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Determining Change in Time-varying Data
Data Mining Session-Based Patient
Variability-Driven User-Story Generation using LLM and Triadic Concept Analysis
A Novel String Distance Function based on Most Frequent K Characters
BAFPN: Bi directional alignment of features to improve localization accuracy
GameTileNet: A Semantic Dataset for Low-Resolution Game Art in Procedural Content Generation
Efficient 3D Perception on Embedded Systems via Interpolation-Free Tri-Plane Lifting and Volume Fusion
A Secure And High Capacity Image Steganography Technique
OG-VLA: 3D-Aware Vision Language Action Model via Orthographic Image Generation
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning
Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting
Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization
Learning to Navigate Under Imperfect Perception: Conformalised Segmentation for Safe Reinforcement Learning
Graph signal processing for machine learning: A review and new perspectives
ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery
Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization
Can MPTCP Secure Internet Communications from Man-in-the-Middle Attacks?
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions
Nonlinear 1-Bit Precoding for Massive MU-MIMO with Higher-Order Modulation
A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services
Exploration of Systolic-Vector Architecture with Resource Scheduling for Dynamic ML Workloads
An Adaptive Psychoacoustic Model for Automatic Speech Recognition
A lightweight two-layer blockchain mechanism for reliable crossing-domain communication in smart cities
Code optimization, frozen glassy phase and improved decoding algorithms for low-density parity-check codes
The strength of Ramsey Theorem for coloring relatively large sets
Requirements Rationalization and Synthesis enabled by Model Synchronization
Rfuzzy framework
Web Document Analysis for Companies Listed in Bursa Malaysia
Continuous Profit Maximization: A Study of Unconstrained Dr-submodular Maximization
A Comparative Study of LLM Prompting and Fine-Tuning for Cross-genre Authorship Attribution on Chinese Lyrics
Community Structures Are Definable in Networks: A Structural Theory of Networks
Evaluating Table Structure Recognition: A New Perspective
Shortest Paths with Ordinal Weights
Patient Diversion Across Primary Health Centers Using Real Time Delay Predictors
Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps
On Radiation-Based Thermal Servoing: New Models, Controls and Experiments
Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
Improving Robustness of Neural Inverse Text Normalization via Data-Augmentation, Semi-Supervised Learning, and Post-Aligning Method
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
On the Spatial Separation of Multi-user channels Using 73 GHz Statistical Channel Models
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]
High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Its Clinical Evaluation
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care
Optimal Service Mode Assignment in a Simple Computation Offloading System: Extended Version
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
Scaling Evidence-based Instructional Design Expertise through Large Language Models
Towards slime mould chemical sensor: Mapping chemical inputs onto electrical potential dynamics of Physarum Polycephalum
Ontolearn-A Framework for Large-scale OWL Class Expression Learning in Python
"Tell me and I forget, teach me and I may remember, involve me and I learn": changing the approach of teaching Computer Organization
Design of Energy Harvesting based Hardware for IoT Applications
Approximate Proportionality in Online Fair Division
Mind the Gap: Bridging Occlusion in Gait Recognition via Residual Gap Correction
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis
TCM-Eval: An Expert-Level Dynamic and Extensible Benchmark for Traditional Chinese Medicine
Multi-Message Broadcast with Abstract MAC Layers and Unreliable Links
On the Privacy of Euclidean Distance Preserving Data Perturbation
Optimal Sensor and Actuator Placement using Balanced Model Reduction
Multimodal Classification for Analysing Social Media
Constant Approximating k-Clique is W[1]-hard
The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning
Traffic-Aware Relay Sleep Control to Improve Energy Efficiency in Joint Macro-Relay Networks
From feature selection to continues optimization
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
On designing finite time iterative learning control based on steady state frequency response
Agent Based Trust Management Model Based on Weight Value Model for Online Auctions
PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network
Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation
All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model
Deep Q-learning: a robust control approach
Distributed Speculative Inference of Large Language Models
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, and Extraction
Bew: Towards Answering Business-Entity-Related Web Questions
Cross Section Doppler Broadening prediction using Physically Informed Deep Neural Networks
TikTok Search Recommendations: Governance and Research Challenges
Are Latent Factor Regression and Sparse Regression Adequate?
Seasonal Stochastic Blockmodeling for Anomaly Detection in Dynamic Networks
Path Planning Algorithms for Robotic Aquaculture Monitoring
Gradient Computation In Linear-Chain Conditional Random Fields Using The Entropy Message Passing Algorithm
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction
Mitigating the Risk of Knowledge Leakage in Knowledge Intensive Organizations: a Mobile Device Perspective
Reduced Basis Methods for Parametric Steady-State Radiative Transfer Equation
Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Models
Out-of-sample generalizations for supervised manifold learning for classification
Compress-and-Forward Performance in Low-SNR Relay Channels
Fully-Trainable Deep Matching
Strongly Chordal Graph Generation using Intersection Graph Characterisation
Automatic post-picking using MAPPOS improves particle image detection from Cryo-EM micrographs
ScatterNet Hybrid Deep Learning (SHDL) Network For Object Classification
A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets
Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
Federated Dropout: Convergence Analysis and Resource Allocation
Towards SocialVR: Evaluating a Novel Technology for Watching Videos Together
Grade of the law of distribution of the vector of the digital twin of the enterprise
Partial order approach to compute shortest paths in multimodal networks
Collaborative Batch Size Optimization for Federated Learning
On overcoming the Curse of Dimensionality in Neural Networks
The Collisional Particle-In-Cell Method for the Vlasov-Maxwell-Landau Equations
A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle
Simple Bounds for Low-complexity Model Reconstruction
Joint Sparse Beamforming and Power Control for Large-scale DAS with Network Assistant Full Duplex
Towards a Personal Health Knowledge Graph Framework for Patient Monitoring
Geometric shape matching for recovering protein conformations from single-particle Cryo-EM data
Self-improving Algorithms for Coordinate-wise Maxima
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data
GMRES using pseudo-inverse for range symmetric singular systems
Activated Parameter Locating via Causal Intervention for Model Merging
Task complexity shapes internal representations and robustness in neural networks
Variational Graph Contrastive Learning
A Communication-Latency-Aware Co-Simulation Platform for Safety and Comfort Evaluation of Cloud-Controlled ICVs
Autoencoder-based prediction of ICU clinical codes
A Novel Approach for Single Gene Selection Using Clustering and Dimensionality Reduction
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
Indexing Context-Sensitive Reachability
Climate Policy Tracker: Pipeline for automated analysis of public climate policies
On Residual CNN in text-dependent speaker verification task
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
Provably Efficient Sample Complexity for Robust CMDP
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles
Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and Load
Semi-Centennial REDUCE
ECO: Egocentric Cognitive Mapping
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets
FuseFormer: A Transformer for Visual and Thermal Image Fusion
LLMs as Function Approximators: Terminology, Taxonomy, and Questions for Evaluation
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula
Deterministic Distributed algorithms and Descriptive Combinatorics on Δ-regular trees
Robust Decentralized Stabilization of Markovian Jump Large-Scale Systems: A Neighboring Mode Dependent Control Approach
3D rectification with Visual Sphere perspective: an algebraic alternative for P4P pose estimation
ROAM: Robust and Object-aware Motion Generation using Neural Pose Descriptors
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images
First Programming Language: Visual or Textual?
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity
A novel spectral method for the semi-classical Schrödinger equation based on the Gaussian wave-packet transform
'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking
Examining the Challenges in Archiving Instagram
Learning Mean-Field Games through Mean-Field Actor-Critic Flow
A Simple Dynamic Model for Aggressive, Near-Limits Trajectory Planning
Selling Culture: Implementation of e-Commerce and WAP-based Prototypes
Adaptive CPU Resource Allocation for Emulator in Kernel-based Virtual Machine
Unsupervised Ensemble Learning via Ising Model Approximation with Application to Phenotyping Prediction
XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera
Security of ADS-B: State of the Art and Beyond
Computer-Assisted Search for Differential Equations Corresponding to Optimization Methods and Their Convergence Rates
Disentangling Multiple Conditional Inputs in GANs
On Optimal Mechanisms in the Two-Item Single-Buyer Unit-Demand Setting
Multiple Locally Linear Kernel Machines
Subresultants in Recursive Polynomial Remainder Sequence
The Capacity Region of the Linear Shift Deterministic Y-Channel
AUDDT: Audio Unified Deepfake Detection Benchmark Toolkit
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
A hypothesis in evolutionary biology
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
Persuasive Prediction via Decision Calibration
Streamlining the Development of Active Learning Methods in Real-World Object Detection
The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology
Machine Learning Approach for Skill Evaluation in Robotic-Assisted Surgery
IoT Equipped Intelligent Distributed Framework for Smart Healthcare Systems
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Distributed Consensus Formation Through Unconstrained Gossiping
TC-Net: Triple Context Network for Automated Stroke Lesion Segmentation
Optimization hardness as transient chaos in an analog approach to constraint satisfaction
Quantum Sequential Universal Hypothesis Testing
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration
DIPPA: An improved Method for Bilinear Saddle Point Problems
QRnet: optimal regulator design with LQR-augmented neural networks
Unveiling the Social Fabric: A Temporal, Nation-Scale Social Network and its Characteristics
Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?
Cooperative UWB Communication Using Range Information
PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs
A Natural Lane Changing Decision Model For Mixed Traffic Flow Based On Extreme Value Theory
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos
A Tchebycheffian extension of multi-degree B-splines: Algorithmic computation and properties
Better partitions of protein graphs for subsystem quantum chemistry
Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions
A Negative Result on Gradient Matching for Selective Backprop
Stochastic 2D Signal Generative Model with Wavelet Packets Basis Regarded as a Random Variable and Bayes Optimal Processing
Approximate LTL model checking
Maximal-entropy random walk unifies centrality measures
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs
Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
On the robust hardness of Gröbner basis computation
High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram
Pricing-based Distributed Downlink Beamforming in Multi-Cell OFDMA Networks
Large Language Models for Cross-lingual Emotion Detection
Adaptive Tetrahedral Grids for Volumetric Path-Tracing
Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists
Learning a Dense Reasoning Reward Model from Expert Demonstration via Inverse Reinforcement Learning
Elites, communities and the limited benefits of mentorship in electronic music
Identifiable Latent Polynomial Causal Models Through the Lens of Change
Sound Event Recognition in a Smart City Surveillance Context
Unified GCNs: Towards Connecting GCNs with CNNs
SoccerDiffusion: Toward Learning End-to-End Humanoid Robot Soccer from Gameplay Recordings
Differentiable Matrix Elements with MadJax
Developing an AI Course for Synthetic Chemistry Students
Generalized Reconfigurable Intelligent Surfaces: From Transmitting and Reflecting Modes to Single-, Group-, and Fully-Connected Architectures
Solving generic parametric linear matrix inequalities
Why Charles Can Pen-test: an Evolutionary Approach to Vulnerability Testing
Personalizing Agent Privacy Decisions via Logical Entailment
A Solution to Co-occurrence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition
Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
On Generalizing Trace Minimization
Attention-based Multi-modal Fusion Network for Semantic Scene Completion
Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning
Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs
Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV
An Interface Preserving Moving Mesh in Multiple Space Dimensions
A Note on Gallager's Capacity Theorem for Waveform Channels
Anomaly Detection for imbalanced datasets with Deep Generative Models
A learning-based approach to multi-agent decision-making
Reciprocal and Positive Real Balanced Truncations for Model Order Reduction of Descriptor Systems
A stochastic gradient method for trilevel optimization
Don't Tell Me The Cybersecurity Moon Is Shining... (Cybersecurity Show And Tell)
ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations
Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network
K-Shortest Simple Paths Using Biobjective Path Search
On the Connection Between Learning Two-Layers Neural Networks and Tensor Decomposition
Normalization at the field level: fractional counting of citations
Free-order secretary for two-sided independence systems
Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image