yusuke1997/dblp-id-title huggingface dataset:
A Scalable Limited Feedback Design for Network MIMO using Per-Cell Product Codebook
Does Code Review Speed Matter for Practitioners?
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios
Fitting large mixture models using stochastic component selection
Mechanical proving with Walnut for squares and cubes in partial words
Convergent Actor-Critic Algorithms Under Off-Policy Training and Function Approximation
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
Applications of machine Learning to improve the efficiency and range of microbial biosynthesis: a review of state-of-art techniques
A Machine Learning Framework for Stock Selection
Can SAM Boost Video Super-Resolution?
BACKpropagation through BACK substitution with a BACKslash
MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
Explainable AI for Interpretable Credit Scoring
Differentially Private Fingerprinting for Location Trajectories
Wikipedia information flow analysis reveals the scale-free architecture of the Semantic Space
Skywork: A More Open Bilingual Foundation Model
Optimizing Shortfall Risk Metric for Learning Regression Models
Multi-objective Anti-swing Trajectory Planning of Double-pendulum Tower Crane Operations using Opposition-based Evolutionary Algorithm
Evidence of Complex Contagion of Information in Social Media: An Experiment Using Twitter Bots
MAFIA: Multi-Adapter Fused Inclusive LanguAge Models
A lower bound on dimension reduction for trees in \ell_1
SPAM over Internet Telephony and how to deal with it
Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation
An iterative method for solving elliptic BVP in one-dimension
Neuro-symbolic Architectures for Context Understanding
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
Towards interpreting computer vision based on transformation invariant optimization
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
Reduction from non-injective hidden shift problem to injective hidden shift problem
Incentivizing Users of Data Centers Participate in The Demand Response Programs via Time-Varying Monetary Rewards
Power Allocation in Amplify and Forward Relays with a Power Constrained Relay
BENCHAGENTS: Automated Benchmark Creation with Agent Interaction
Finger Based Technique (FBT): An Innovative System for Improved Usability for the Blind Users' Dynamic Interaction with Mobile Touch Screen Devices
Lexicographically optimal integer points: structural properties and complexity
Concentration of research funding leads to decreasing marginal returns
An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS
Application of Constacyclic codes to Quantum MDS Codes
Prune Sampling: a MCMC inference technique for discrete and deterministic Bayesian networks
Formative Study for AI-assisted Data Visualization
A Linear Pricing Mechanism for Load Management in Day-Ahead Retail Energy Markets
A Nonlinear HP-Type Complementary Resistive Switch
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints
SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction
Unbalanced OPF Modelling for Mixed Monopolar and Bipolar HVDC Grid Configurations
Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
Experimental Data-Driven Model Predictive Control of a Hospital HVAC System During Regular Use
Reinforcement Learning for Agile Active Target Sensing with a UAV
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
Congestion Games on Weighted Directed Graphs, with Applications to Spectrum Sharing
Exposed Buffer Architecture
Carl-Hauser - Open Source Image Matching Algorithms Benchmarking Framework
STAR: A Fast and Robust Rigid Registration Framework for Serial Histopathological Images
MultivariateApart: Generalized Partial Fractions
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability
Nodally 3-connected planar graphs and convex combination mappings
TriSPrompt: A Hierarchical Soft Prompt Model for Multimodal Rumor Detection with Incomplete Modalities
On Performance Debugging of Unnecessary Lock Contentions on Multicore Processors: A Replay-based Approach
Inattentive in social, active in mind: VR-based design intervention for imagining desirable possibilities in the public space
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models
Navigation-GPT: A Robust and Adaptive Framework Utilizing Large Language Models for Navigation Applications
Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization
Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics
An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning
Forward kinematics of a general Stewart-Gough platform by elimination templates
Quaternionic Computing
Space-filling Curves for High-performance Data Mining
H(curl 2 ) conforming element for Maxwell's transmission eigenvalue problem using fixed-point approach
All a-board: sharing educational data science research with school districts
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Sample Complexity of the Sign-Perturbed Sums Identification Method: Scalar Case
Ethical Challenges in Gamified Education Research and Development: An Umbrella Review and Potential Directions
On using distributed representations of source code for the detection of C security vulnerabilities
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation
Real-time processing of high resolution video and 3D model-based tracking in remote tower operations
Approximation Ratio of LD Algorithm for Multi-Processor Scheduling and the Coffman-Sethi Conjecture
Weaponization of Conscience in Cybercrime and Online Fraud: A Novel Systems Theory
The Responsibility Quantification (ResQu) Model of Human Interaction with Automation
Wave solutions of Gilson-Pickering equation
A Benchmark Generator for Combinatorial Testing
Transparency as Delayed Observability in Multi-Agent Systems
Coding and Bounds for Partially Defective Memory Cells
Can Graphs Improve Tabular Foundation Models?
Lifetime-configurable soft robots via photodegradable silicone elastomer composites
Why Bother With Syntax?
Keep It Unbiased: A Comparison Between Estimation of Distribution Algorithms and Deep Learning for Human Interaction-Free Side-Channel Analysis
Generating Triples with Adversarial Networks for Scene Graph Construction
Spaces of Clusterings
Évaluation et consolidation d'un réseau lexical via un outil pour retrouver le mot sur le bout de la langue
Running Identical Threads in C-Slow Retiming based Designs for Functional Failure Detection
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
Arrovian Aggregation via Pairwise Utilitarianism
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction
UTF-8 Plumbing: Byte-level Tokenizers Unavoidably Enable LLMs to Generate Ill-formed UTF-8
Automatic Detection of the Common and Non-common Frequencies in Congruent Discrete Spectra. A Theoretical Approach
Blockchain, Fog and IoT Integrated Framework: Review, Architecture and Evaluation
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models
High Level Hardware/Software Embedded System Design with Redsharc
SurVigilance: An Application for Accessing Global Pharmacovigilance Data
Performance of Multibeam Very High Throughput Satellite Systems Based on FSO Feeder Links with HPA Nonlinearity
VPHO: Joint Visual-Physical Cue Learning and Aggregation for Hand-Object Pose Estimation
InfoAgent: Advancing Autonomous Information-Seeking Agents
Robustness investigation of quality measures for the assessment of machine learning models
General Field Evaluation in High-Order Meshes on GPUs
Toolchain for Faster Iterations in Quantum Software Development
Bearing-Based Formation Stabilization with Directed Interaction Topologies
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users
Tensor networks and efficient descriptions of classical data
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution
Namesakes: Ambiguously Named Entities from Wikipedia and News
T-Theory Applications to Online Algorithms for the Server Problem
A Hybrid Recommender System for Recommending Smartphones to Prospective Customers
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision
The truth is no diaper: Human and AI-generated associations to emotional words
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains
Tracing patients' PLOD with mobile phones: Mitigation of epidemic risks through patients' locational open data
Is a probabilistic modeling really useful in financial engineering? - A-t-on vraiment besoin d'un modèle probabiliste en ingénierie financière?
Universally Truthful Secondary Spectrum Auctions
The Stories We Govern By: AI, Risk, and the Power of Imaginaries
Synthesizing Efficient Dynamic Programming Algorithms
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement
Generalization Bound for a General Class of Neural Ordinary Differential Equations
Bidirectional Attention for SQL Generation
Risk-Budgeted Control Framework for Balanced Performance and Safety in Autonomous Vehicles
Score the Steps, Not Just the Goal: VLM-Based Subgoal Evaluation for Robotic Manipulation
Automated Optical Multi-layer Design via Deep Reinforcement Learning
On continual single index learning
Reasoning About Knowledge of Unawareness Revisited
The OpenDC Microservice Simulator: Design, Implementation, and Experimentation
Assessing Political Bias in Large Language Models
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles
DeepChrome: Deep-learning for predicting gene expression from histone modifications
Towards quantitative methods to assess network generative models
Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems
Model-Based Reinforcement Learning for Approximate Optimal Control with Temporal Logic Specifications
FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise
Reinforcement Learning for Optimizing Large Qubit Array based Quantum Sensor Circuits
Remote Sensing Image Change Detection Towards Continuous Bitemporal Resolution Differences
On Reciprocally Rotating Magnetic Actuation of a Robotic Capsule in Unknown Tubular Environments
Geometric Formalization of First-Order Stochastic Dominance in N Dimensions: A Tractable Path to Multi-Dimensional Economic Decision Analysis
Mobile Advertisement in Vehicular Ad-Hoc Networks
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization
3D Head-Position Prediction in First-Person View by Considering Head Pose for Human-Robot Eye Contact
Rank-Metric Codes and Their Parameters
MammoRGB: Dual-View Mammogram Synthesis Using Denoising Diffusion Probabilistic Models
Extracting Bilingual Persian Italian Lexicon from Comparable Corpora Using Different Types of Seed Dictionaries
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis
Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation
Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
Word2VecGD: Neural Graph Drawing with Cosine-Stress Optimization
A Linear-Time Algorithm for the Weighted Paired-Domination Problem on Block Graphs
CHEW: A Dataset of CHanging Events in Wikipedia
Weighted ancestors in suffix trees
On Computational Aspects of Cores of Ordered Graphs
Edge Detection based on Kernel Density Estimation
Towards Trustworthy Federated Learning
Empirical Evaluation of Mutation-based Test Prioritization Techniques
Balanced Modulation for Nonvolatile Memories
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Hypothesis support measured by likelihood in the presence of nuisance parameters, multiple studies, and multiple comparisons
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
Dynamic Inference
Keyframer: Empowering Animation Design using Large Language Models
Solving Sparse Finite Element Problems on Neuromorphic Hardware
Frequency Estimation in the Shuffle Model with (Almost) a Single Message
Misplaced trust? The relationship between trust, ability to identify commercially influenced results, and search engine preference
Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process
Incentives to Build Houses, Trade Houses, or Trade House Building Skills in Simulated Worlds under Various Governing Systems or Institutions: Comparing Multi-agent Reinforcement Learning to Generative Agent-based Model
Unmasking the Limits of Large Language Models: A Systematic Evaluation of Masked Text Processing Ability through MskQA and MskCal
Orthogonal projectors of binary LCD codes
METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Faster Evaluation of Multidimensional Integrals
The AI Shadow War: SaaS vs. Edge Computing Architectures
From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks
UMA: Ultra-detailed Human Avatars via Multi-level Surface Alignment
Learning Invariant Stabilizing Controllers for Frequency Regulation under Variable Inertia
Rateless coding with partial state information at the decoder
SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Centroid Approximation for Byzantine-Tolerant Federated Learning
DRiVE: Dynamic Recognition in VEhicles using snnTorch
Least Information Modeling for Information Retrieval
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval
Where Defaults Don't Help: the Case of the German Plural System
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search
Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech
Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling
StruProKGR: A Structural and Probabilistic Framework for Sparse Knowledge Graph Reasoning
Inductive Inference in Supervised Classification
Transfer Reinforcement Learning for 5G-NR mm-Wave Networks
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning
Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts
Brain Computer Interface Technologies in the Coming Decades
Estimating entropy rate from censored symbolic time series: a test for time-irreversibility
Stacking Neural Network Models for Automatic Short Answer Scoring
The Complexity of the Numerical Semigroup Gap Counting Problem
Online Coverage Planning for an Autonomous Weed Mowing Robot with Curvature Constraints
The Generalized Matrix Chain Algorithm
Systematic Literature Review: Quantum Machine Learning and its applications
The co-evolution of brand effect and competitiveness in evolving networks
Information Bottleneck and its Applications in Deep Learning
Automatic Classification of Bright Retinal Lesions via Deep Network Features
Improved Detection Strategies for Nonlinear Frequency-Division Multiplexing
Machine Learning For Beamline Steering
Phishing URL Detection using Bi-LSTM
QDLC - The Quantum Development Life Cycle
Preconditioning Richards Equations: spectral analysis and parallel solution at very large scale
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Safe Composition of Systems of Communicating Finite State Machines
Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts
Can Artificial Noise Boost Further the Secrecy of Dual-hop RIS-aided Networks?
Symbolic Control: Unveiling Free Robustness Margins
CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning
BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU enhanced Keystroke Dynamics
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
Excision and Recovery: Enhancing Surface Anomaly Detection with Attention-based Single Deterministic Masking
A Technical Review on Comparison and Estimation of Steganographic Tools
Test-time data augmentation: improving predictions of recurrent neural network models of composites
The Harmonic Policy for Online Buffer Sharing is (2 + ln n)-Competitive: A Simple Proof
Leader Election for Anonymous Asynchronous Agents in Arbitrary Networks
TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis
Building a National Smart Campus to support sustainable business development: An ecosystem approach
Embedded Model Control approach to robust control
Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
Developing Artificial Herders Using Jason
Occlusion-Aware Video Deblurring with a New Layered Blur Model
Software Dependability Measurement at the Age Of 36
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
Croatian public companies for energy distribution and supply: integration of information subsystems
Eisen: a python package for solid deep learning
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
Classifying long legal documents using short random chunks
EASTER: Efficient and Scalable Text Recognizer
Embedding derivatives and derivative Area operators of Hardy spaces into Lebesgue spaces
Challenges in Guardrailing Large Language Models for Science
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces
Mediating Artificial Intelligence Developments through Negative and Positive Incentives
Learning words in groups: fusion algebras, tensor ranks and grokking
Physics-Informed Geometry-Aware Neural Operator
Bisimilarity and Simulatability of Processes Parameterized by Join Interactions
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets
Hybrid Beamfocusing Design for RSMA-Enhanced Near-Field Secure Communications
Controlling Difficulty of Generated Text for AI-Assisted Language Learning
Reasoning about Study Regulations in Answer Set Programming
Bounds for the Twin-width of Graphs
Empirical Risk Minimization under Fairness Constraints
Mining Frequent Itemsets Using Genetic Algorithm
Time Domain Sensitivity of the Tracking Error
Multi-Agent Task Allocation in Complementary Teams: A Hunter and Gatherer Approach
Functional Donoho-Stark-Elad-Bruckstein-Ricaud-Torrésani Uncertainty Principle
A blessing or a burden? Exploring worker perspectives of using a social robot in a church
Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter
Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning
DAIQ: Auditing Demographic Attribute Inference from Question in LLMs
Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation
JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation
Compressive Random Access Using A Common Overloaded Control Channel
Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks
A*-based Temporal Logic Path Planning with User Preferences on Relaxed Task Satisfaction
Exploring Equilibrium Strategies in Network Games with Generative AI
Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations
Modular Safety-Critical Control of Legged Robots
Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors
The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning
Two-Stage Stochastic Optimization for Low-Carbon Dispatch in a Combined Energy System
Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches
Pilot Design and Doubly-Selective Channel Estimation for Faster-than-Nyquist Signaling
Multi-Robot Searching Algorithm Using Levy Flight and Artificial Potential Field
Mixline: A Hybrid Reinforcement Learning Framework for Long-horizon Bimanual Coffee Stirring Task
Capturing and Recognizing Objects Appearance Employing Eigenspace
Quantum automata and languages of finite index
MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model
Adversarial Masked Autoencoder Purifier with Defense Transferability
Optimal Link Scheduling in Millimeter Wave Multi-hop Networks with MU-MIMO radios
Cloud Diffusion Part 1: Theory and Motivation
InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wild
Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks
On the Efficiency and Fairness of Multiplayer HTTP-based Adaptive Video Streaming
A Dynamic Programming Approach to Evader Pathfinding in Static Pursuit Scenarios
Toward a Smart Resource Allocation Policy via Artificial Intelligence in 6G Networks: Centralized or Decentralized?
On the Connections between Counterfactual Explanations and Adversarial Examples
Energy-Efficient Interactive Beam-Alignment for Millimeter-Wave Networks
s-Transformer: Segment-Transformer for Robust Neural Speech Synthesis
Self-Guard: Empower the LLM to Safeguard Itself
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification
Acceleration of multiple precision solver for ill-conditioned algebraic equations with lower precision eigensolver
Combinatorial Resources Auction in Decentralized Edge-Thing Systems Using Blockchain and Differential Privacy
Towards More Accurate Personalized Image Generation: Addressing Overfitting and Evaluation Bias