yusuke1997/dblp-id-title huggingface dataset:
Application of the Multi-label Residual Convolutional Neural Network text classifier using Content-Based Routing process
Properties of interaction networks, structure coefficients, and benefit-to-cost ratios
Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios
EL PASSO: Privacy-preserving, Asynchronous Single Sign-On
Typing on Any Surface: A Deep Learning-based Method for Real-Time Keystroke Detection in Augmented Reality
Construction Grammar Provides Unique Insight into Neural Language Models
EVOSCAT: Exploring Software Change Dynamics in Large-Scale Historical Datasets
Understanding how people consume low quality and extreme news using web traffic data
Effects of Spatial Randomness on Locating a Point Source with Distributed Sensors
LMI-based Data-Driven Robust Model Predictive Control
Nonnegative HMM for Babble Noise Derived from Speech HMM: Application to Speech Enhancement
Rashomon perspective for measuring uncertainty in the survival predictive maintenance models
Subject-specific quantitative susceptibility mapping using patch based deep image priors
A Qualitative Comparison of MPSoC Mobile and Embedded Virtualization Techniques
Variational Approach for Intensity Domain Multi-exposure Image Fusion
Cross-Lingual Supervision improves Large Language Models Pre-training
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership
Deep Learning in Multiple Multistep Time Series Prediction
The LL(finite) strategy for optimal LL(k) parsing
On the Necessity of Superparametric Geometry Representation for Discontinuous Galerkin Methods on Domains with Curved Boundaries
Centerness-based Instance-aware Knowledge Distillation with Task-wise Mutual Lifting for Object Detection on Drone Imagery
Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems
The discrepancy of the Champernowne constant
Consensus-aware Contrastive Learning for Group Recommendation
SUM: Sequential Scene Understanding and Manipulation
The Stagnant Persistence Paradox: Survival Analysis and Temporal Efficiency in Exact Sciences and Engineering Education
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices
Dynkin Game of Stochastic Differential Equations with Random Coefficients, and Associated Backward Stochastic Partial Differential Variational Inequality
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Utility Pole Fire Risk Inspection from 2D Street-Side Images
MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
Capacity Results for Binary Fading Interference Channels with Delayed CSIT
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation
The Communal Loom: Integrating Tangible Interaction and Participatory Data Collection for Assessing Well-Being
On the Discredibility of Membership Inference Attacks
Precise Onboard Aicraft Cabin Localization using UWB and ML
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Altruistic Decision-Making for Autonomous Driving with Sparse Rewards
Integrating Vision Systems and STPA for Robust Landing and Take-Off in VTOL Aircraft
Less Memory, Faster Speed: Refining Self-Attention Module for Image Reconstruction
3D Modeling: Camera Movement Estimation and path Correction for SFM Model using the Combination of Modified A-SIFT and Stereo System
A Survey on Large Scale Metadata Server for Big Data Storage
Spectral goodness-of-fit tests for complete and partial network data
Error-Free Near-Optimal Validated Agreement
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings
Self-planning Code Generation with Large Language Model
Random Time-hopping Secure Ranging Strategy Against Distance-Reduction Attacks in UWB
Optimal class assignment problem: a case study at Gunma University
VeriODD: From YAML to SMT-LIB - Automating Verification of Operational Design Domains
Blockchain-Based Multi-Path Mobile Access Point Selection for Secure 5G VANETs
SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT
From Knowing to Doing: Learning Diverse Motor Skills through Instruction Learning
Towards a theory of word order. Comment on "Dependency distance: a new perspective on syntactic patterns in natural language" by Haitao Liu et al
Reasoning about External Calls
Robot Grasping and Manipulation: A Prospective
Causal (Progressive) Encoding over BinarySymmetric Channels with Noiseless Feedback
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding
Empirical evaluation of full-reference image quality metrics on MDID database
On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild"
The rate of Lp-convergence for the Euler-Maruyama method of the stochastic differential equations with Markovian switching
Signal Reconstruction Framework Based On Projections Onto Epigraph Set Of A Convex Cost Function (PESC)
Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
Multi-objective Active Control Policy Design for Commensurate and Incommensurate Fractional Order Chaotic Financial Systems
Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption
Deep Q-Learning for Same-Day Delivery with a Heterogeneous Fleet of Vehicles and Drones
Radio Frequency Energy Harvesting and Management for Wireless Sensor Networks
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning
DF-TransFusion: Multimodal Deepfake Detection via Lip-Audio Cross-Attention and Facial Self-Attention
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems
DMSORT: An efficient parallel maritime multi-object tracking architecture for unmanned vessel platforms
Emergent velocity agreement in robot networks
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution
Towards a Thermodynamical Deep-Learning-Vision-Based Flexible Robotic Cell for Circular Healthcare
An Efficient Implementation for WalkSAT
On the Byzantine-Fault-Tolerant Consensus for Blockchain among Connected Vehicles
Neuromorphic Valence and Arousal Estimation
Momentum-Based Access and Speed Control for Improved Safety in Heterogeneous Road Networks
Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics
Exploring Personality-Aware Interactions in Salesperson Dialogue Agents
FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
Follower-Followee Ratio Category and User Vector for Analyzing Following Behavior
SpecWatch: A Framework for Adversarial Spectrum Monitoring with Unknown Statistics
Υ-Net: A Spatiospectral Network for Retinal OCT Segmentation
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning
Feedback Motion Planning for Long-Range Autonomous Underwater Vehicles
Probabilistic Accumulate-then-Transmit in Wireless-Powered Covert Communications
Efficient Optimal Path Planning in Dynamic Environments Using Koopman MPC
Graph-based Neural Modules to Inspect Attention-based Architectures: A Position Paper
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning
A Rainbow in Deep Network Black Boxes
Aliasing Reduction in Neural Amp Modeling by Smoothing Activations
Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting
The Decision Tree Complexity for k-SUM is at most Nearly Quadratic
Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification
Online Piecewise Linear Regression via Infinite Depth Context Trees
Exploring Computation-Communication Tradeoffs in Camera Systems
A Space-Time Transformer for Precipitation Forecasting
Analyzing the Costs (and Benefits) of DNS, DoT, and DoH for the Modern Web
Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making
Can Many-Shot In-Context Learning Help Long-Context LLM Judges? See More, Judge Better!
Diversity and Multiplexing Tradeoff in the Uplink of Cellular Systems with Linear MMSE Receiver
NVDiff: Graph Generation through the Diffusion of Node Vectors
Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection
Out-of-distribution Tests Reveal Compositionality in Chess Transformers
Fixed Point Semantics for Stream Reasoning
A Mixture of Expert Based Deep Neural Network for Improved ASR
Power Efficient Scheduling under Delay Constraints over Multi-user Wireless Channels
Implicit Communication in Linear Quadratic Gaussian Control Systems
Accelerated Symmetric ADMM and Its Applications in Signal Processing
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss
Subset synchronization of DFAs and PFAs, and some other results
Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989)
Device-independent quantum key distribution based on Hardy's paradox
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
UniTac: Whole-Robot Touch Sensing Without Tactile Sensors
The steady-states of splitter networks
Manifesto - Model Engineering for Complex Systems
Ontology for Scenarios for the Assessment of Automated Vehicles
Causal Inference With Selectively-Deconfounded Data
Distribution Network Restoration with Mobile Resources Dispatch: A Simulation-Based Online Dynamic Programming Approach
Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization
Investigating factors affecting learners perception toward online learning evidence from ClassStart application in Thailand
Inferring Turbulent Parameters via Machine Learning
Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search
International System of Quantities library in VDM
Double Distillation Network for Multi-Agent Reinforcement Learning
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Rationalising data collection for building energy systems using Value of Information Analysis
SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World
Bi-View Embedding Fusion: A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models
To be or not to be stable, that is the question: understanding neural networks for inverse problems
Multiplierless Modules for Forward and Backward Integer Wavelet Transform
MineStudio: A Streamlined Package for Minecraft AI Agent Development
Silent error detection in numerical time-stepping schemes
GUN: Gradual Upsampling Network for single image super-resolution
Syntactic Complexity of R- and J-Trivial Regular Languages
Dynamic Contrastive Learning for Hierarchical Retrieval: A Case Study of Distance-Aware Cross-View Geo-Localization
Quantitative Characterization of Retinal Features in Translated OCTA
Quadratic video interpolation
Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performance
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
A mixed discontinuous Galerkin method without interior penalty for time-dependent fourth order problems
Automated Label Placement on Maps via Large Language Models
SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety
Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak
Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark
Analysis of Microprocessor Based Protective Re-lay's (MBPR) Differential Equation Algorithms
Low-rank optimization with trace norm penalty
Bioinspired Soft Spiral Robots for Versatile Grasping and Manipulation
Winning the ICCV 2019 Learning to Drive Challenge
Person Re-identification Based on Color Histogram and Spatial Configuration of Dominant Color Regions
Speech enhancement with variational autoencoders and alpha-stable distributions
BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
Does Machine Learning Amplify Pricing Errors in the Housing Market? - The Economics of Machine Learning Feedback Loops
Adaptive Prompt Learning-based Few-Shot Sentiment Analysis
Should you use LLMs to simulate opinions? Quality checks for early-stage deliberation
Physics guided deep learning generative models for crystal materials discovery
Bernoulli-LoRA: A Theoretical Framework for Randomized Low-Rank Adaptation
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions
Rethinking Crowd-Sourced Evaluation of Neuron Explanations
Simplifying and Understanding State Space Models with Diagonal Linear RNNs
Cross-layer Chase Combining with Selective Retransmission, Analysis and Throughput Optimization for OFDM Systems
Gelisp: A Library to Represent Musical CSPs and Search Strategies
Topological-collaborative approach for disambiguating authors' names in collaborative networks
Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective
Improved Algorithms for Exact and Approximate Boolean Matrix Decomposition
Promonads and String Diagrams for Effectful Categories
Fast convergence to higher multiplicity zeros
When Dataflow Analysis Meets Large Language Models
ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Bandits with heavy tail
Policy as Types
Autonomous Planning Based on Spatial Concepts to Tidy Up Home Environments with Service Robots
Randomized Polynomial-Time Root Counting in Prime Power Rings
SEALing Neural Network Models in Secure Deep Learning Accelerators
Logical recognition method for solving the problem of identification in the Internet of Things
Living a discrete life in a continuous world: Reference with distributed representations
Channel Estimation for MIMO MC-CDMA Systems
The Early Bird Identifies the Worm: You Can't Beat a Head Start in Long-Term Body Re-ID (ECHO-BID)
Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors
A Robust Zero-Calibration RF-based Localization System for Realistic Environments
On the Covariance Matrix Distortion Constraint for the Gaussian Wyner-Ziv Problem
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production
RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards
Incentivized Symbiosis: A Paradigm for Human-Agent Coevolution
A Hybrid Mean Field Framework for Aggregators Participating in Wholesale Electricity Markets
Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework
Order-Reduction Abstractions for Safety Verification of High-Dimensional Linear Systems
Ellipsis and Higher-Order Unification
Householder-Absolute Neural Layers For High Variability and Deep Trainability
Modal definability in Euclidean modal logics
Sphere-GAN: a GAN-based Approach for Saliency Estimation in 360° Videos
Attentional Graph Neural Network for Parking-slot Detection
CARTOS: A Charging-Aware Real-Time Operating System for Intermittent Batteryless Devices
A Tabu Search based clustering algorithm and its parallel implementation on Spark
Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager
Second Opinion Matters: Towards Adaptive Clinical AI via the Consensus of Expert Model Ensemble
A Hybrid Variational Autoencoder for Collaborative Filtering
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based Image Synthesis
It was twenty years ago today ..
Multivariate Integral Perturbation Techniques - I (Theory)
JUSTICE: A Benchmark Dataset for Supreme Court's Judgment Prediction
Some connections between universal algebra and logics for trees
AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing
Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction
One-step Estimation of Networked Population Size: Respondent-Driven Capture-Recapture with Anonymity
Medical Image Retrieval via Nearest Neighbor Search on Pre-trained Image Features
A Complex Networks Approach for Data Clustering
The Regularised Inertial Dean-Kawasaki equation: discontinuous Galerkin approximation and modelling for low-density regime
ADD 2022: the First Audio Deep Synthesis Detection Challenge
Safety Margins of Inverse Optimal ISSf Controllers
Geometrical tilings : distance, topology, compacity and completeness
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing
Aixel: A Unified, Adaptive and Extensible System for AI-powered Data Analysis
An efficient supervised dictionary learning method for audio signal recognition
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution
A Survey on Model-based Reinforcement Learning
Routing with Self-Attention for Multimodal Capsule Networks
Phase-field Fracture Modelling of Thin Monolithic and Laminated Glass Plates under Quasi-static Bending
Class conditional conformal prediction for multiple inputs by p-value aggregation
Image Velocimetry using Direct Displacement Field estimation with Neural Networks for Fluids
Maximizing the area of intersection of rectangles
Dynamic Page Placement on Real Persistent Memory Systems
Local Cold Load Pick-up Estimation Using Customer Energy Consumption Measurements
System Identification and Control through Efficient SVA Based Regressor Computation
Triadic Novelty: A Typology and Measurement Framework for Recognizing Novel Contributions in Science
Degrees of Freedom of the Rank-deficient Interference Channel with Feedback
How News Feels: Understanding Affective Bias in Multilingual Headlines for Human-Centered Media Design
PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models
An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor
Latency and Token-Aware Test-Time Compute
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction
Optimizing Mission Critical Data Dissemination in Massive IoT Networks
Digital Forensic Investigation of Cloud Storage Services
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning
Spatial Path Index Modulation in mmWave/THz-Band Integrated Sensing and Communications
Modular population protocols
Linear Complementary Pair Of Abelian Codes over Finite Chain Rings
ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers
Reciprocally induced coevolution: A computational metaphor in Mathematics
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations
Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks
The 'Sure' Trap: Multi-Scale Poisoning Analysis of Stealthy Compliance-Only Backdoors in Fine-Tuned Large Language Models
Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation
Algebraic 3D Graphic Statics: reciprocal constructions
Dealing with Topological Information within a Fully Convolutional Neural Network
Can Mental Imagery Improve the Thinking Capabilities of AI Systems?
EuskañolDS: A Naturally Sourced Corpus for Basque-Spanish Code-Switching
Time-Division Transmission is Optimal for Covert Communication over Broadcast Channels
Information Retrieval in the Cloud
Memristive integrative sensors for neuronal activity
IEEE 802.11ay based mmWave WLANs: Design Challenges and Solutions
The harmonic influence in social networks and its distributed computation by message passing
Boundary input-to-state stabilization of a damped Euler-Bernoulli beam in the presence of a state-delay
Prediction-Constrained Topic Models for Antidepressant Recommendation
DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors
Transmit Optimization with Improper Gaussian Signaling for Interference Channels
Robust Regret Optimal Control
Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models
Reverb: Open-Source ASR and Diarization from Rev
An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models
Computing Constrained Cramer Rao Bounds
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms
Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization
Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability
Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions
Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks
Self-Calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle
A new weak gradient for the stabilizer free weak Galerkin method with polynomial reduction
Simple Algorithms for Dueling Bandits
Sampling with Adaptive Variance for Multimodal Distributions
Model predictive control for the prescription of antithyroid agents
Formal Verification of Probabilistic SystemC Models with Statistical Model Checking
"You Know Because I Know": a Multidimensional Network Approach to Human Resources Problem
Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods
A lightweight hybrid CNN-LSTM model for ECG-based arrhythmia detection
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
In Search of the Unknown Unknowns: A Multi-Metric Distance Ensemble for Out of Distribution Anomaly Detection in Astronomical Surveys
Reprogrammable, in-materia matrix-vector multiplication with floppy modes
Depth estimation using structured light flow - analysis of projected pattern flow on an object's surface -
Positive Rate Binary Interactive Error Correcting Codes Resilient to >1/2 Adversarial Erasures
Optimal Scheduling and Exact Response Time Analysis for Multistage Jobs
Formulog: Datalog for SMT-Based Static Analysis (Extended Version)
Exploration of AWGNC and BSC Pseudocodeword Redundancy
Enforcing tail calibration when training probabilistic forecast models
Semantically Secure Private Set Intersection over Outsourced Multi-Owner Secret-Shared Databases