yusuke1997/dblp-id-title huggingface dataset:
System Identification Through Lipschitz Regularized Deep Neural Networks
Dynamically Addressing Unseen Rumor via Continual Learning
A Fuzzy Time Series-Based Model Using Particle Swarm Optimization and Weighted Rules
Sources of Inter-package Conflicts in Debian
Upper tail behavior of the number of triangles in random graphs with constant average degree
Development and Evolution of Xtext-based DSLs on GitHub: An Empirical Investigation
Beyond Text: Probing K-12 Educators' Perspectives and Ideas for Learning Opportunities Leveraging Multimodal Large Language Models
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL
On A Class of Greedy Sparse Recovery Algorithms - A High Dimensional Approach
Multi-Scale Convolutional Neural Network for Automated AMD Classification using Retinal OCT Images
Deconstructing the structure of online conversations on Reddit
Using curvature to distinguish between surface reflections and vessel contents in computer vision based recognition of materials in transparent vessels
Integrating Semi-Supervised and Active Learning for Semantic Segmentation
Human vs. AI Safety Perception? Decoding Human Safety Perception with Eye-Tracking Systems, Street View Images, and Explainable AI
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans
An Analysis of Language Frequency and Error Correction for Esperanto
QuECT: A New Quantum Programming Paradigm
Proceedings of the First Workshop on Agents and Robots for reliable Engineered Autonomy, AREA@ECAI 2020, Virtual event, 4th September 2020
Exploiting map information for self-supervised learning in motion forecasting
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
IsoScore: Measuring the Uniformity of Vector Space Utilization
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
When Computing follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum
Personal Volunteer Computing
A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions
Mind the Gap: Evaluating Model- and Agentic-Level Vulnerabilities in LLMs with Action Graphs
A Formally-Verified Framework for Fair Synchronization in Kotlin Coroutines
A Model of WiFi Performance With Bounded Latency
A SDFEM for system of two singularly perturbed problems of convection-diffusion type with discontinuous source term
Structure Learning of Quantum Embeddings
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
How to Train a Backdoor-Robust Model on a Poisoned Dataset without Auxiliary Data?
Analysis of Age of Incorrect Information under Generic Transmission Delay
The Impact of Negated Text on Hallucination with Large Language Models
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
Tracking Any Object Amodally
FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image Insertion
Decoding Cortical Microcircuits: A Generative Model for Latent Space Exploration and Controlled Synthesis
Unsupervised Domain Adaptation: A Multi-task Learning-based Method
AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
A Chemistry-Inspired Framework for Achieving Consensus in Wireless Sensor Networks
Mutual Adaptation in Human-Robot Co-Transportation with Human Preference Uncertainty
ExpertGenQA: Open-ended QA generation in Specialized Domains
A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications
Real-time Continual Learning on Intel Loihi 2
Self-enforcing Game Theory-based Resource Allocation for LoRaWAN Assisted Public Safety Communications
Optimizing Geometry Problem Sets for Skill Development
Secure Multicast in a WAN
When in Doubt, Deliberate: Confidence-Based Routing to Expert Debate for Sexism Detection
A Comparison of Decision Algorithms on Newcomblike Problems
HyperANF: Approximating the Neighbourhood Function of Very Large Graphs on a Budget
Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models
Achieving Fairness Without Harm via Selective Demographic Experts
Timing-As-A-Service (TAAS): On the role of mobile service providers in the context of integrated Industrial Internet of Things (IIoT)
FusiformNet: Extracting Discriminative Facial Features on Different Levels
Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications
Minimum description length as an objective function for non-negative matrix factorization
Rationale in Development Chat Messages: An Exploratory Study
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
Preliminary Bias Results in Search Engines
Design and experimental demonstration of a high-directive emission with optical transformations
Preserving Module Privacy in Workflow Provenance
Multi-modal Image Registration for Correlative Microscopy
Lattice-based Robust Distributed Source Coding
L2 OSTC-CPM: Theory and design
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms
Stability of iterated dyadic filter banks
Understanding the Supply Chain and Risks of Large Language Model Applications
Fungal architecture
Fast algorithms for anti-distance matrices as a generalization of Boolean matrices
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
Machine Learning Methods for Health-Index Prediction in Coating Chambers
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models
Code Simulation as a Proxy for High-order Tasks in Large Language Models
Quantum Kernel Mixtures for Probabilistic Deep Learning
Stochastic Galerkin finite element method for nonlinear elasticity and application to reinforced concrete members
Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning
Feature Embedding Clustering using POCS-based Clustering Algorithm
Detection Schemes with Low-Resolution ADCs and Spatial Oversampling for Transmission with Higher-Order Constellations in the Terahertz Band
Performance Study of Various Relay Nodes in 5G Wireless Network
Cascade Convolutional Neural Network for Image Super-Resolution
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process
Space-Time Adaptive Processing Using Random Matrix Theory Under Limited Training Samples
Alignment-Free Phylogenetic Reconstruction: Sample Complexity via a Branching Process Analysis
DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems
Deep Learning-based Hybrid Graph-Coloring Algorithm for Register Allocation
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking
Cyber Physical Games
Modeling Word Relatedness in Latent Dirichlet Allocation
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding
Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes
ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion
Multi-modal Differentiable Unsupervised Feature Selection
Exploring Challenges and Opportunities in Cybersecurity Risk and Threat Communications Related To The Medical Internet Of Things (MIoT)
What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?
Can a Large Language Model Assess Urban Design Quality? Evaluating Walkability Metrics Across Expertise Levels
Lifted Convex Quadratic Programming
Catroid: A Mobile Visual Programming System for Children
Search-based Software Testing Driven by Automatically Generated and Manually Defined Fitness Functions
Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research
The Construction and Globalization of the Knowledge Base in Inter-human Communication Systems
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
Low-latency List Decoding Of Polar Codes With Double Thresholding
Improved flood mapping for efficient policy design by fusion of Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and infrastructure exposed to floods
Incept-N: A Convolutional Neural Network based Classification Approach for Predicting Nationality from Facial Features
Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance
Generation and human-expert evaluation of interesting research ideas using knowledge graphs and large language models
Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network
Learning Good Interventions in Causal Graphs via Covering
Use of Machine Translation to Obtain Labeled Datasets for Resource-Constrained Languages
Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features
Disagree and Commit: Degrees of Argumentation-based Agreements
A Data Science Approach to Risk Assessment for Automobile Insurance Policies
Semantic Counting from Self-Collages
Large Images are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting
A Two Step Perspective for Kripke Structure Reduction
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories
Superpixel Based Graph Laplacian Regularization for Sparse Hyperspectral Unmixing
The Existence and Uniqueness of Solutions for Kernel-Based System Identification
Towards a More Inclusive Metaverse via Designing Tools That Support Collaborative Virtual World Building by Users With and Without Disabilities
Efficiently Coloring the Intersection of a General Matroid and Partition Matroids
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking
Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach
Roget's Thesaurus as a Lexical Resource for Natural Language Processing
Transient Stability Assessment of Networked Microgrids Using Neural Lyapunov Methods
A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis
Performance of Opportunistic Fixed Gain Bidirectional Relaying With Outdated CSI
Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field
Robust Explanations for Private Support Vector Machines
Data Fusion and Machine Learning Integration for Transformer Loss of Life Estimation
Approximation of arbitrarily high-order PDEs by first-order hyperbolic relaxation
Adversarially Contrastive Estimation of Conditional Neural Processes
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL
A Novel Computational Method for Band Structures of Dispersive Photonic Crystals
Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems
Digital Coherent-State QRNG Using System-Jitter Entropy via Random Permutation
Dual-Camera Joint Deblurring-Denoising
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text
Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks
Detecting Adversarial Examples - A Lesson from Multimedia Forensics
Global Optimality Characterizations and Algorithms for Minimizing Quartically-Regularized Third-Order Taylor Polynomials
MobRFFI: Non-cooperative Device Re-identification for Mobility Intelligence
Sobolev-Poincaré inequalities for piecewise W 1,p functions over general polytopic meshes
Good/Evil Reputation Judgment of Celebrities by LLMs via Retrieval Augmented Generation
A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
A model-free feature selection technique of feature screening and random forest based recursive feature elimination
SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution
Privacy Analysis in Language Models via Training Data Leakage Report
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents
Context-aware deep learning using individualized prior information reduces false positives in disease risk prediction and longitudinal health assessment
Dynamic Matroids: Base Packing and Covering
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs
Symbolic Protocol Analysis for Diffie-Hellman
Quantitative Analysis of AI-Generated Texts in Academic Research: A Study of AI Presence in Arxiv Submissions using AI Detection Tool
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
New Geometrical Spectra of Linear Codes with Applications to Performance Analysis
Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization
Mica: Automated Differential Testing for OCaml Modules
I Blame Apple in Part for My False Expectations: An Autoethnographic Study of Apple's Lockdown Mode in iOS
An Intuitively Complete Analysis of Godel's Incompleteness
Towards Ecologically Valid LLM Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners
Prompt Triage: Structured Optimization Enhances Vision-Language Model Performance on Medical Imaging Benchmarks
Quantifying Uncertainty in Machine Learning-Based Pervasive Systems: Application to Human Activity Recognition
Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object Detection
Towards Multi-Criteria Prioritization of Best Practices in Research Artifact Sharing
Realisation d'un systeme de reconnaissance automatique de la parole arabe base sur CMU Sphinx
Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech?
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning
Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models
Variable L0 Guidance Strategy: Enlarged Operational Envelope and Path-Following
Dawn of the transformer era in speech emotion recognition: closing the valence gap
Derivative of BICM Mutual Information
K-Slot SSTable Stack Compaction
A brief overview of swarm intelligence-based algorithms for numerical association rule mining
Explainable deep learning for insights in El Nino and river flows
The Application of Cloud Computing to the Creation of Image Mosaics and Management of Their Provenance
Electromechanical System Design for Self-Balancing Robot
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
H2OVL-Mississippi Vision Language Models Technical Report
The Algebraic Theory of Fractional Jumps
The Dafny Integrated Development Environment
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI
Computing Densest k-Subgraph with Structural Parameters
On a random number of disorders
A Geometric Algorithm for Maximizing the Distance over an Intersection of Balls to a Given Point
Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-activated CMOS Artificial Neural Microcircuits
Generative Modeling of Turbulence
CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models
Global minimization of polynomial integral functionals
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
Modelling service-oriented systems and cloud services with Heraklit
A combinatorial proof of a formula of Biane and Chapuy
AMStraMGRAM: Adaptive Multi-cutoff Strategy Modification for ANaGRAM
Robust Distributed Averaging on Networks with Adversarial Intervention
Assessing the Usages of LMS at KAU and Proposing FORCE Strategy for the Diffusion
Pattern Characterization Using Topological Data Analysis: Application to Piezo Vibration Striking Treatment
A predefined-time first-order exact differentiator based on time-varying gains
BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and Electrocardiogram
Manga Generation via Layout-controllable Diffusion
Wisdom of Crowds Through Myopic Self-Confidence Adaptation
Adaptive Composition GAN towards Realistic Image Synthesis
Density Functional Estimators with k-Nearest Neighbor Bandwidths
Deep learning algorithms for FBSDEs with jumps: Applications to option pricing and a MFG model for smart grids
Multi-Shot Person Re-Identification via Relational Stein Divergence
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation
On Distributional Dependent Performance of Classical and Neural Routing Solvers
On Delay-Optimal Scheduling in Queueing Systems with Replications
STAMINA: STochastic Approximate Model-checker for INfinite-state Analysis
A Hierarchical Modulation for Upgrading Digital Broadcast Systems
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
Iterated Belief Revision Under Resource Constraints: Logic as Geometry
On the Complexity of Robust PCA and ℓ 1 -norm Low-Rank Matrix Approximation
Self-explaining variational posterior distributions for Gaussian Process models
Breast Cancer Recurrence Risk Prediction Based on Multiple Instance Learning
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
Beta Process Non-negative Matrix Factorization with Stochastic Structured Mean-Field Variational Inference
Optimizing Constellations for Noncoherent Optical Communication Systems
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE
ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
Choice of Mel Filter Bank in Computing MFCC of a Resampled Speech
Valid Inference after Causal Discovery
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
Making Large Language Models Efficient Dense Retrievers
Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets
Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning
DynE: Dynamic Ensemble Decoding for Multi-Document Summarization
Study on MCS Selection and Spectrum Allocation for URLLC Traffic under Delay and Reliability Constraint in 5G Network
Compact CNN for Indexing Egocentric Videos
Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems
Transliteration of Foreign Words in Burmese
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology
Exploration of NLU: disassemble the information represented by Natural Language, based on the understanding of the internal structure of information, modeling the storage and processing system of information
Pre-Trained Language Transformers are Universal Image Classifiers
Fixed-point graph convolutional networks against adversarial attacks
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
Cognitive Interference Channels with Confidential Messages
Excavate Condition-invariant Space by Intrinsic Encoder
Predicting Patient Outcomes with Graph Representation Learning
QoS-aware Mesh based Multicast Routing Protocols in Ad-Hoc Networks: Concepts and Challenges
Small space and streaming pattern matching with k edits
Max-Margin based Discriminative Feature Learning
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks
Achieving Resolution-Agnostic DNN-based Image Watermarking:A Novel Perspective of Implicit Neural Representation
Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels
Indian Stock Market Prediction using Augmented Financial Intelligence ML
ART: Adaptive Response Tuning Framework - A Multi-Agent Tournament-Based Approach to LLM Response Optimization
MEMO: Dataset and Methods for Robust Multimodal Retinal Image Registration with Large or Small Vessel Density Differences
Schema2QA: Answering Complex Queries on the Structured Web with a Neural Model
Auditing the Use of Language Models to Guide Hiring Decisions
Completely independent spanning trees in the hypercube
Model-Free Episodic Control
Blended Bots: Infiltration through Identity Deception on Social Media
WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
Meta Learning as Bayes Risk Minimization
Towards Causal Model-Based Policy Optimization
Towards Long-Range ENSO Prediction with an Explainable Deep Learning Model
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations
Web Table Extraction, Retrieval and Augmentation: A Survey
Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
One-shot synthesis of rare gastrointestinal lesions improves diagnostic accuracy and clinical training
Moonwalk: Inverse-Forward Differentiation
What has LeBenchmark Learnt about French Syntax?
Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking
Bandit Multiclass List Classification
Real-time motion amplification on mobile devices
A Unified Representation Underlying the Judgment of Large Language Models
Appearance-guided Attentive Self-Paced Learning for Unsupervised Salient Object Detection
Combining complex networks and data mining: why and how
Stability of Open Multi-Agent Systems and Applications to Dynamic Consensus
Stable and efficient Petrov-Galerkin methods for a kinetic Fokker-Planck equation
Few-Shot Class-Incremental Learning via Feature Space Composition
A Cascaded Architecture for Extractive Summarization of Multimedia Content via Audio-to-Text Alignment
Potential impact of CV-QKD integration on classical WDM network capacity
Linear Algorithms for Nonparametric Multiclass Probability Estimation
Counting Terms in the Binary Lambda Calculus
Joint Rate Selection and Wireless Network Coding for Time Critical Applications
Test-Time Adaptation with State-Space Models
The Mutual Information in Random Linear Estimation
Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model
Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data
Distributed Load Management in Anycast-based CDNs
Generating Molecular Conformer Fields
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies
Tracking Mobile Intruders in an Art Gallery: Guard Deployment Strategies, Fundamental Limitations, and Performance Guarantees
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Waste Detection and Change Analysis based on Multispectral Satellite Imagery
Impact vitality: an indicator based on citing publications in search of excellent scientists