yusuke1997/dblp-id-title huggingface dataset:
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
ATP: a Datacenter Approximate Transmission Protocol
A Benchmarking Framework for AI models in Automotive Aerodynamics
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning
Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics
Detection with Multimodal Dependent Data Using Low Dimensional Random Projections
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0
Theoretical error estimates for computing the matrix logarithm by Padé-type approximants
Designing Data: Proactive Data Collection and Iteration for Machine Learning
Smart Contracts for Multiagent Plan Execution in Untrusted Cyber-physical Systems
Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains
Multi-modal cross-domain mixed fusion model with dual disentanglement for fault diagnosis under unseen working conditions
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification
Info-Greedy sequential adaptive compressed sensing
Physics Informed Generative Models for Magnetic Field Images
ADriver-I: A General World Model for Autonomous Driving
Analyzing closed frequent itemsets with convex polytopes
Performance Analysis of Series Elastic Actuator based on Maximum Torque Transmissibility
Hallucinating Flows for Optimal Mechanisms
Comment on "New Results on Frame-Proof Codes and Traceability Schemes"
Computing modular correspondences for abelian varieties
Multi-Prover Quantum Merlin-Arthur Proof Systems with Small Gap
Rapid, Robust, and Reliable Blind Deconvolution via Nonconvex Optimization
MedDM: LLM-executable clinical guidance tree for clinical decision-making
Explaining deep learning for ECG using time-localized clusters
Why is Your Language Model a Poor Implicit Reward Model?
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models
Automatic Text Simplification of News Articles in the Context of Public Broadcasting
Frequency Separation based Adaptive Feedforward Control for Rejecting Wideband Vibration with Application to Hard Disk Drives
Contrastive Preference Learning: Learning from Human Feedback without RL
BIGNet: Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in BIM Models
Chemically inspired Erdős-Rényi oriented hypergraphs
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
Analysis and predictability of centrality measures in competition networks
Predictive K-means with local models
Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency
Breaking Quadratic Time for Small Vertex Connectivity and an Approximation Scheme
Algorithms for Submodular Matroid Secretary Problems Under Transversal Matroids and Partition Matroids
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization
An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM
Disruption Management with Rescheduling of Trips and Vehicle Circulations
Component Coloring of Proper Interval Graphs and Split Graphs
Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices
AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture
Noncoherent LDPC-Coded Physical-Layer Network Coding using Multitone FSK
Connecting the dots across time: Reconstruction of single cell signaling trajectories using time-stamped data
Feature Normalisation for Robust Speech Recognition
Price Competition Under A Consider-Then-Choose Model With Lexicographic Choice
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
Class Token and Knowledge Distillation for Multi-head Self-Attention Speaker Verification Systems
Risk-Bounded Multi-Agent Visual Navigation via Dynamic Budget Allocation
Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions
Towards Principled Multi-Agent Task Agnostic Exploration
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation
Device-to-Device Coded Caching with Distinct Cache Sizes
Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems
WSSL: Weighted Self-supervised Learning Framework For Image-inpainting
Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM
A validity-guided workflow for robust large language model research in psychology
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
A weak regularity lemma for polynomials
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Every Data Structure Deserves Lock-Free Memory Reclamation
A Nonlinear Perron-Frobenius Approach for Stability and Consensus of Discrete-Time Multi-Agent Systems
Buy when? Survival machine learning model comparison for purchase timing
Real-Time Online Skeleton Extraction and Gesture Recognition on Pepper
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines
FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text Documents
ELIZA Reinterpreted: The world's first chatbot was not intended as a chatbot at all
LSMTCR: A Scalable Multi-Architecture Model for Epitope-Specific T Cell Receptor de novo Design
Inverse Data-Driven Optimal Control for Nonlinear Stochastic Non-stationary Systems
SNAP: SNowbAll multi-tree Pushing for Peer-to-Peer Media Streaming
Machine Learned Calabi-Yau Metrics and Curvature
Conceptual Modeling of the Whole-Part Relationship
Immune System Inspired Strategies for Distributed Systems
On the Theoretical Capacity of Evolution Strategies to Statistically Learn the Landscape Hessian
Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
Genetic algorithms and the Andrews-Curtis conjecture
Classification of datasets with imputed missing values: does imputation quality matter?
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting
Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice
Structure of 311 Service Requests as a Signature of Urban Location
Faster Approximation for Maximum Independent Set on Unit Disk Graph
Super-Resolution using Convolutional Neural Networks without Any Checkerboard Artifacts
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Learning from Noisy Labels with Deep Neural Networks: A Survey
How Game Jams and Hackathons Accelerate Design Processes
Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties with Phonon-Informed Datasets
Generalized Pose Space Embeddings for Training In-the-Wild using Anaylis-by-Synthesis
Data-Driven Reduced-Order Aeroelastic Modeling of Highly Flexible Aircraft by Parametric Dynamic Mode Decomposition
On the hopping pattern design for D2D Discovery
A Framework of Algorithms: Computing the Bias and Prestige of Nodes in Trust Networks
Robust Learning from Explanations
Locally-Iterative Distributed (Delta + 1)-Coloring below Szegedy-Vishwanathan Barrier, and Applications to Self-Stabilization and to Restricted-Bandwidth Models
Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models
Look into your Heart - Prototypes for a Speculative Design Exploration of Personal Heart Rate Visualization
A machine learning approach to predicting pore pressure response in liquefiable sands under cyclic loading
Compatible L 2 norm convergence of variable-step L1 scheme for the time-fractional MBE mobel with slope selection
Selective privacy in IoT smart-farms for battery-powered device longevity
Neighboring Backdoor Attacks on Graph Convolutional Network
A Self-Supervised Framework for Space Object Behaviour Characterisation
Optimal Transmission Power Scheduling for Networked Control System under DoS Attack
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing
Alternate Distributed Beamforming for Buffer-Aided Multi-Antenna Relay Systems
Computing-In-Memory Aware Model Adaption For Edge Devices
Path Planning for a Cooperative Navigation Aid Vehicle to Assist Multiple Agents Intermittently
Diagnostic Prediction Using Discomfort Drawings
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
Selecting the Right LLM for eGov Explanations
Enlaces de rádio de longa distância utilizando a banda de HF
On the ideal shortest vector problem over random rational primes
Unveiling the Latent Directions of Reflection in Large Language Models
Lie algebra structure of fitness and replicator control
Structured World Representations in Maze-Solving Transformers
Twins: Device-free Object Tracking using Passive Tags
Foundation Models For Seismic Data Processing: An Extensive Review
Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Higher-order Cons-free Interpreters
VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models
Neural Artistic Style and Color Transfer Using Deep Learning
OSSDoorway: A Gamified Environment to Scaffold Student Contributions to Open Source Software
Grabbing power line conductors based on the measurements of the magnetic field strength
Unifying Environment Perception and Route Choice Modeling for Trajectory Representation Learning
Synthetic Census Data Generation via Multidimensional Multiset Sum
Analytical Shaping Method for Low-Thrust Rendezvous Trajectory Using Cubic Spline Functions
Toward Generalized Clustering through an One-Dimensional Approach
Hybrid PDE-Deep Neural Network Model for Calcium Dynamics in Neurons
Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames
A Novel Method for Soft Error Mitigation in FPGA using Adaptive Cross Parity Code
Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
AST-n: A Fast Sampling Approach for Low-Dose CT Reconstruction using Diffusion Models
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond
Cross-utterance ASR Rescoring with Graph-based Label Propagation
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Latent Diffusion Model for Generating Ensembles of Climate Simulations
Improved phase-unwrapping method using geometric constraints
Asymptotic Normality for Plug-in Estimators of Generalized Shannon's Entropy
The Narcissus Hypothesis: Descending to the Rung of Illusion
Generalised Object Detection and Semantic Analysis: Casino Example using Matlab
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method
Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection
NeuroBreak: Unveil Internal Jailbreak Mechanisms in Large Language Models
On the ubiquity of duopolies in constant sum congestion games
Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction
CC-Diff: Enhancing Contextual Coherence in Remote Sensing Image Synthesis
Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos
Self-triggered output feedback control for nonlinear networked control systems based on hybrid Lyapunov functions
Faster Lead Optimization Mapper Algorithm for Large-Scale Relative Free Energy Perturbation
Deep API Programmer: Learning to Program with APIs
Low Complexity Sequential Search with Measurement Dependent Noise
Online Offering Strategies for Storage-Assisted Renewable Power Producer in Hour-Ahead Market
TransferAttn: Transferable-guided Attention Is All You Need for Video Domain Adaptation
Tractability Beyond β-Acyclicity for Conjunctive Queries with Negation
Expressiveness of the modal mu-calculus on monotone neighborhood structures
Community aware group testing
Using Information Theory to Study the Efficiency and Capacity of Caching in the Computer Networks
Sparse Approximation, List Decoding, and Uncertainty Principles
Horn Binary Serialization Analysis
Shrinkage Initialization for Smooth Learning of Neural Networks
Investigating Bias in Image Classification using Model Explanations
Optimal Relay Placement for Capacity and Performance Improvement using a Fluid Model for Heterogeneous Wireless Networks
(Leftmost-Outermost) Beta Reduction is Invariant, Indeed
Combinatorial Optimization for Panoptic Segmentation: An End-to-End Trainable Approach
Efficient Spatial Variation Characterization via Matrix Completion
Parameterized complexity of Bandwidth of Caterpillars and Weighted Path Emulation
Optimal control approach for moving bottom detection in one-dimensional shallow waters by surface measurements
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation
Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents
Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration
Factor Graph Molecule Network for Structure Elucidation
Towards Data-Driven Hierarchical Surgical Skill Analysis
A Scalable Factorization Approach for High-Order Structured Tensor Recovery
Spatial Interference Cancelation for Mobile Ad Hoc Networks: Perfect CSI
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization
ArtGraph: Towards an Artistic Knowledge Graph
RISC-V Needs Secure 'Wheels': the MCU Initiator-Side Perspective
Compressed Empirical Measures (in finite dimensions)
BioNeuralNet: A Graph Neural Network based Multi-Omics Network Data Analysis Tool
A Fast Second-Order Explicit Predictor-Corrector Numerical Technique To Investigating And Predicting The Dynamic Of Cytokine Levels And Human Immune Cells Activation In Response To Gram-Positive Bacteria: Staphylococcus Aureus
Bootstrap Off-policy with World Model
Task Arithmetic with LoRA for Continual Learning
Complexity of Unary Exclusive Nondeterministic Finite Automata
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach
The phase diagram of compressed sensing with ℓ 0 -norm regularization
Human Recognition based on Retinal Bifurcations and Modified Correlation Function
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots
Isogeometric de Rham complex discretization in solid toroidal domains
MeshLeTemp: Leveraging the Learnable Vertex-Vertex Relationship to Generalize Human Pose and Mesh Reconstruction for In-the-Wild Scenes
Cost and dimension of words of zero topological entropy
Towards a Service-oriented Platform for Intelligent Apps in Intermediate Cities
AI-Assisted Design Concept Exploration Through Character Space Construction
A High Fidelity and Low Complexity Neural Audio Coding
Design and optimization of DBSCAN Algorithm based on CUDA
Uniform Random Number Generation from Markov Chains: Non-Asymptotic and Asymptotic Analyses
Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution
Extending h adaptivity with refinement patterns
Accelerating Object Detection with YOLOv4 for Real-Time Applications
Physical-Layer Security for Two-Hop Air-to-Underwater Communication Systems With Fixed-Gain Amplify-and-Forward Relaying
Validating Network Value of Influencers by means of Explanations
DeepLandscape: Adversarial Modeling of Landscape Video
Towards precise causal effect estimation from data with hidden variables
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration
Accelerated Distributional Temporal Difference Learning with Linear Function Approximation
Optimal Approximate Matrix Multiplication over Sliding Window
CLOAK: A Framework For Development of Confidential Blockchain Smart Contracts
Differentiable and Learnable Robot Models
A Communication Efficient and Scalable Distributed Data Mining for the Astronomical Data
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering
GridMask Data Augmentation
Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales
Algorithm for generating orthogonal matrices with rational elements
A Structured Framework for Evaluating and Enhancing Interpretive Capabilities of Multimodal LLMs in Culturally Situated Tasks
Process Knowledge-infused Learning for Clinician-friendly Explanations
CO3: Contrasting Concepts Compose Better
Runtime analysis of the (mu+1)-EA on the Dynamic BinVal function
Parallel Computation Is ESS
Temporal Regularized Matrix Factorization
Revisiting Image Fusion for Multi-Illuminant White-Balance Correction
The role of noise in PIC and Vlasov simulations of the Buneman instability
Deep Convolutional Neural Networks as Generic Feature Extractors
Efficient Byzantine-Robust Privacy-Preserving Federated Learning via Dimension Compression
Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics
DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations
Joint Wasserstein Distribution Matching
PowerChain: Automating Distribution Grid Analysis with Agentic AI Workflows
Cognitive Coding of Speech
Carleman-Fourier Linearization of Complex Dynamical Systems: Convergence and Explicit Error Bounds
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection
XAI-FUNGI: Dataset resulting from the user study on comprehensibility of explainable AI algorithms
Deception Decoder: Proposing a Human-Focused Framework for Identifying AI-Generated Content on Social Media
Correction of 'J. Laderman, V. Pan, X. H. Sha, On practical Algorithms for Accelerated Matrix Multiplication, Linear Algebra and its Applications. Vol 162-164 (1992) pp 557-588'
Human Factors in Biocybersecurity Wargames
Multiple Access Channels with Combined Cooperation and Partial Cribbing
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models
Hyper-Fisher Vectors for Action Recognition
Food for thought: Ethical considerations of user trust in computer vision
Irksome: Automating Runge-Kutta time-stepping for finite element methods
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
Perla: A Conversational Agent for Depression Screening in Digital Ecosystems. Design, Implementation and Validation
TumorTwin: A python framework for patient-specific digital twins in oncology
CLIO: A Tour Guide Robot with Co-speech Actions for Visual Attention Guidance and Enhanced User Engagement
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
D4C: Data-free Quantization for Contrastive Language-Image Pre-training Models
Subclass Distillation
Performance Comparison of the RPL and LOADng Routing Protocols in a Home Automation Scenario
Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions
A new class of negabent functions
Distributed Heuristic Forward Search for Multi-Agent Systems
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
A Completeness Result for Inequational Reasoning in a Full Higher-Order Setting
Reliable, Deniable, and Hidable Communication over Multipath Networks
Covariance loss, Szemeredi regularity, and differential privacy
RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL
On the variants of SVM methods applied to GPR data to classify tack coat characteristics in French pavements: two experimental case studies
GazeIntent: Adapting dwell-time selection in VR interaction with real-time intent modeling
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
Reiter's Default Logic Is a Logic of Autoepistemic Reasoning And a Good One, Too
Can NeRFs See without Cameras?
Arcee: Differentiable Recurrent State Chain for Generative Vision Modeling with Mamba SSMs
A Domain-specific Language and Architecture for Detecting Process Activities from Sensor Streams in IoT
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
Decoding Nonbinary LDPC Codes via Proximal-ADMM Approach (include convergence proofs)
DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing
Proximal Policy Optimization-based Transmit Beamforming and Phase-shift Design in an IRS-aided ISAC System for the THz Band
Agent-based MST Construction
uGMM-NN: Univariate Gaussian Mixture Model Neural Network
Towards Trusted Social Networks with Blockchain Technology
Logic Agent: Enhancing Validity with Logic Rule Invocation
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs
A Degree Based Approximation of an SIR Model with Contact Tracing and Isolation
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
On the optimality of shape and data representation in the spectral domain
Models of the Chisholm set
Subadditive Load Balancing
Real-Time Face Recognition System for Remote Employee Tracking
Approximation by neural network operators of convolution type activated by deformed and parametrized half hyperbolic tangent function
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks
Session Communication and Integration
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
Assertion-Aware Test Code Summarization with Large Language Models
Training Data Protection with Compositional Diffusion Models
Wikipedia and open access
A Simulation System Towards Solving Societal-Scale Manipulation
Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
QuantumBench: A Benchmark for Quantum Problem Solving
Catch and Prolong: recurrent neural network for seeking track-candidates
Markov random walk under constraint for discovering overlapping communities in complex networks
Artificial Intelligence in Surgery
An Asymptotically Optimal RFID Authentication Protocol Against Relay Attacks
On Hypohamiltonian Snarks and a Theorem of Fiorini
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body - Theory and Experiments
A Family of Density-Scaled Filtered Complexes
Generalizations across filler-gap dependencies in neural language models
An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
R FLAV: Rolling Flow matching for infinite Audio Video generation