yusuke1997/dblp-id-title huggingface dataset:
Bayesian Optimal Experimental Design for Constitutive Model Calibration
Creative Compensation (CC): Future of Jobs with Creative Works in 3D Printing
Sensing Ambiguity in Henry James' "The Turn of the Screw"
Verifying Handcoded Probabilistic Inference Procedures
Occupancy-aware Trajectory Planning for Autonomous Valet Parking in Uncertain Dynamic Environments
EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents
Determining the Applicability of Agile Practices to Mission and Life-critical Systems
How Focused Are LLMs? A Quantitative Study via Repetitive Deterministic Prediction Tasks
The pyglaf argumentation reasoner (ICCMA2021)
Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes
Covert Channels in SIP for VoIP signalling
A Comprehensive AI Policy Education Framework for University Teaching and Learning
Frequency Selective Compressed Sensing
Call for Action: towards the next generation of symbolic regression benchmark
Sensitivity and block sensitivity of nested canalyzing function
Differential privacy with dependent data
Sparse Mamba: Reinforcing Controllability In Structural State Space Models
A Hyperparameter Study for Quantum Kernel Methods
GPU-Accelerated Optimization Solver for Unit Commitment in Large-Scale Power Grids
Self-supervised dense representation learning for live-cell microscopy with time arrow prediction
A Unifying Perspective on Multi-Calibration: Unleashing Game Dynamics for Multi-Objective Learning
PuoBERTa: Training and evaluation of a curated language model for Setswana
A hybrid-model approach for reducing the performance gap in building energy forecasting
FireBERT: Hardening BERT-based classifiers against adversarial attack
Mapping ChatGPT in Mainstream Media: Early Quantitative Insights through Sentiment Analysis and Word Frequency Analysis
Introducing "Neuromorphic Computing and Engineering"
SMECS: A Software Metadata Extraction and Curation Software
Topological Machine Learning with Unreduced Persistence Diagrams
Classification of Smartphone Users Using Internet Traffic
The Ties that matter: From the perspective of Similarity Measure in Online Social Networks
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning
From Data to Knowledge to Action: A Global Enabler for the 21st Century
Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm
A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System
Optimum estimation via gradients of partition functions and information measures: a statistical-mechanical perspective
Design-Pattern-as-a-Service for Blockchain-based Self-Sovereign Identity
Grounded Objects and Interactions for Video Captioning
EVs and ERCOT: Future Adoption Scenarios and Grid Implications
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks
A Functional Safety Assessment Method for Cooperative Automotive Architecture
The Asymptotic Generalized Poor-Verdu Bound Achieves the BSC Error Exponent at Zero Rate
Beamforming Feedback-based Model-driven Angle of Departure Estimation Toward Firmware-Agnostic WiFi Sensing
Time Aware Knowledge Extraction for Microblog Summarization on Twitter
SynthCypher: A Fully Synthetic Data Generation Framework for Text-to-Cypher Querying in Knowledge Graphs
Reviving Thorup's Shortcut Conjecture
Adaptively Clustering Neighbor Elements for Image Captioning
Variance-based sensitivity analysis in the presence of correlated input variables
Cutting Through the Confusion and Hype: Understanding the True Potential of Generative AI
McFly: Time-Travel Debugging for the Web
An Affine Equivalence Algorithm for S-boxes based on Matrix Invariants
CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
Transformer Neural Networks Attending to Both Sequence and Structure for Protein Prediction Tasks
Code-Switching In-Context Learning for Cross-Lingual Transfer of Large Language Models
Computing and Proving Well-founded Orderings through Finite Abstractions
Direct Optimisation of $\boldsymbolλ$ for HDR Content Adaptive Transcoding in AV1
A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images
Hypergraphon Mean Field Games
Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control
Pseudo-Bayesian Optimization
Curriculum Learning for Mesh-based simulations
Information and Communications Technologies (ICT) and Pre-Service Education Professionals: A Case Study of Motivation and Knowledge
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
Llamazip: Leveraging LLaMA for Lossless Text Compression and Training Dataset Detection
A comprehensive study of batch construction strategies for recurrent neural networks in MXNet
LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network
A meta-analysis of state-of-the-art electoral prediction from Twitter data
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
Preprocessing and Cutting Planes with Conflict Graphs
GeoNav: Empowering MLLMs with Explicit Geospatial Reasoning Abilities for Language-Goal Aerial Navigation
Formal Contexts, Formal Concept Analysis, and Galois Connections
Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views
Predicting Gas Well Performance with Decline Curve Analysis: A Case Study on Semutang Gas Field
Agnostic Physics-Driven Deep Learning
Frequency Distribution of Error Messages
Optimal Tracking Controller Design for a Small Scale Helicopter
Multi-Agent Synchronization Tasks
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning
Twitter-based analysis of the dynamics of collective attention to political parties
English-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor
Setting up the Data Printer with Improved English to Ukrainian Machine Translation
Paraconsistent Existential Graphs Gamma Peirce System
Inference with minimal Gibbs free energy in information field theory
Neural Network Segmentation of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis in Renal Biopsies
Exploiting Opportunistic Physical Design in Large-scale Data Analytics
Insensitivity of the mean-field Limit of Loss Systems Under Power-of-d Routing
Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go
Self-trained Panoptic Segmentation
Compositional Scientific Computing with Catlab and SemanticModels
Adaptive Steering Control for Steer-by-Wire Systems
Parametric disjunctive timed networks
EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery
A Small Leak Sinks All: Exploring the Transferable Vulnerability of Source Code Models
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
SDE-Attention: Latent Attention in SDE-RNNs for Irregularly Sampled Time Series with Missing Data
Statistical and Computational Guarantees for Influence Diagnostics
R-Learning Based Admission Control for Service Federation in Multi-domain 5G Networks
Mining Software Quality from Software Reviews: Research Trends and Open Issues
Convergence of kinetic Langevin samplers for non-convex potentials
The maximum number of nonzero weights of linear rank-metric codes
An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection
ZeRO: Memory Optimization Towards Training A Trillion Parameter Models
Practical State Machines for Computer Software and Engineering
Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation
A Study on Altering PostgreSQL from Multi-Processes Structure to Multi-Threads Structure
Formal Verification and Control with Conformal Prediction
Surprisingly Popular Voting for Concentric Rank-Order Models
On Near-controllability, Nearly-controllable Subspaces, and Near-controllability Index of a Class of Discrete-time Bilinear Systems: A Root Locus Approach
Sequential decoder training for improved latent space dynamics identification
Lecture Notes on Monadic First- and Second-Order Logic on Strings
Attractive vs. truncated repulsive supercooled liquids : dynamics is encoded in the pair correlation function
On exploring practical potentials of quantum auto-encoder with advantages
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking
Diferenciación Automática Anidada. Un enfoque algebraico
Large-Scale Application of Fault Injection into PyTorch Models - an Extension to PyTorchFI for Validation Efficiency
ProCMotive: Bringing Programability and Connectivity into Isolated Vehicles
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots
Question Answering Over Biological Knowledge Graph via Amazon Alexa
CamDiff: Camouflage Image Augmentation via Diffusion Model
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Thematic Analysis and Visualization of Textual Corpus
Multicell-Fold: geometric learning in folding multicellular life
Convergence Analysis of a Variable Projection Method for Regularized Separable Nonlinear Inverse Problems
LLMs Could Autonomously Learn Without External Supervision
Comparison-Based Choices
Efficient Reuse of Previous Experiences to Improve Policies in Real Environment
Asymmetrical Latent Representation for Individual Treatment Effect Modeling
Uncertainty Tube Visualization of Particle Trajectories
Automated Type Annotation in Python Using Large Language Models
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection Systems
Three Kinds of Negation in Knowledge and Their Mathematical Foundations
Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations
Can pre-trained models assist in dataset distillation?
Closed-Form Coverage Probability for Downlink Poisson Network with Double Shadowed Fading
A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systems
Analog Network Coding in General SNR Regime: Performance of A Greedy Scheme
Briefly on Bottom-up
Constrained Distributed Algebraic Connectivity Maximization in Robotic Networks
A Generic Multi-node State Monitoring Subsystem
How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning
Indirect Influences in International Trade
Multi-Path Bound for DAG Tasks
Decidability of the Equivalence of Multi-Letter Quantum Finite Automata
Large-Scale Cell Representation Learning via Divide-and-Conquer Contrastive Learning
Scalable Multisubject Vital Sign Monitoring With mmWave FMCW Radar and FPGA Prototyping
Marginalizing over the PageRank Damping Factor
LLM-Based Multi-Agent System for Simulating and Analyzing Marketing and Consumer Behavior
Channel Capacity of Near-Field Multiuser Communications
An automated framework for brain vessel centerline extraction from CTA images
Formalizing Complex Mathematical Statements with LLMs: A Study on Mathematical Definitions
Classification and Regression Error Bounds for Inhomogenous Data With Applications to Wireless Networks
Face Deepfakes - A Comprehensive Review
Machine Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis
Automation of Prosthetic Upper Limbs for Transhumeral Amputees Using Switch-controlled Motors
Investigating Algorithm Review Boards for Organizational Responsible Artificial Intelligence Governance
Verification of Multi-Layered Assignment Problems
Enhancing Learned Image Compression via Cross Window-based Attention
How do humans succeed in tasks like proving Fermat's Theorem or predicting the Higgs boson?
Visually Aligned Word Embeddings for Improving Zero-shot Learning
Hierarchical dynamic domain decomposition for the multiscale Boltzmann equation
Auditing Pay-Per-Token in Large Language Models
Qualitative Visualization of Distance Information
Some convergence analysis for multicontinuum homogenization
Deliberate Exploration Supports Navigation in Unfamiliar Worlds
Privacy-Aware Data Cleaning-as-a-Service (Extended Version)
Caching-Augmented Lifelong Multi-Agent Path Finding
AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder
DynaWarp - Efficient, large-scale log storage and retrieval
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning
Scalable methods for computing state similarity in deterministic Markov Decision Processes
Communicating Concurrent Processes
Target Directed Event Sequence Generation for Android Applications
A Non-Cooperative Game Model for Reliability-Based Task Scheduling in Cloud Computing
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data
Adaptive stepsize algorithms for Langevin dynamics
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow
Stochastic Second-Order Optimization via von Neumann Series
MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment
SoundSignature: What Type of Music Do You Like?
Comparison of two-stage models for electrical substation flood mitigation under uncertainty
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision
Tamarin: Concolic Disequivalence for MIPS
Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
Better Python Programming for all: With the focus on Maintainability
Minimal order H(div)-conforming velocity-vorticity approximations for incompressible fluids
RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines
Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent
Learning Visual-Semantic Subspace Representations for Propositional Reasoning
Stability analysis for circulant structured multi-agent molecular communication systems
MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis
Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction
Computer keyboard interaction as an indicator of early Parkinson's disease
Diffusion models for audio semantic communication
ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer
Paying Per-label Attention for Multi-label Extraction from Radiology Reports
Stem-ming the Tide: Predicting STEM attrition using student transcript data
Mapping AI Ethics Narratives: Evidence from Twitter Discourse Between 2015 and 2022
Electric Sheep Team Description Paper Humanoid League Kid-Size 2019
Spectral Generalized Multi-Dimensional Scaling
OmniTrack: Real-time detection and tracking of objects, text and logos in video
Increasing Network Visibility Using Coded Repetition Beacon Piggybacking
Using LLMs to Automate Threat Intelligence Analysis Workflows in Security Operation Centers
Finetuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition
Description logics as polyadic modal logics
Capacity of a POST Channel with and without Feedback
A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions
A Parallel Approach for Real-Time Face Recognition from a Large Database
Where To Look: Focus Regions for Visual Question Answering
Multi-chart flows
Throughput Optimization of Coexistent LTE-U and WiFi in Next Generation Networks
LADs: Leveraging LLMs for AI-Driven DevOps
First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic
Model Sketching by Abstraction Refinement for Lifted Model Checking (Extended Version)
Sensitivity study using machine learning algorithms on simulated r-mode gravitational wave signals from newborn neutron stars
Simulation of Two-Way Pushdown Automata Revisited
Generative Active Learning for the Search of Small-molecule Protein Binders
Fast Rhetorical Structure Theory Discourse Parsing
ExpertFlow: Adaptive Expert Scheduling and Memory Coordination for Efficient MoE Inference
Process Mining Embeddings: Learning Vector Representations for Petri Nets
MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks
Streetlight Effect in Post-Publication Peer Review: Are Open Access Publications More Scrutinized?
A Formal Approach to Distributed System Tests Design
ChatGPT for automated grading of short answer questions in mechanical ventilation
SSM-CGM: Interpretable State-Space Forecasting Model of Continuous Glucose Monitoring for Personalized Diabetes Management
FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models
Patterns of Text Reuse in a Scientific Corpus
Chinese Lexical Analysis with Deep Bi-GRU-CRF Network
GenericsKB: A Knowledge Base of Generic Statements
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI
Connected Choice and the Brouwer Fixed Point Theorem
Efficient Dispersion of Mobile Robots on Graphs
DisTop: Discovering a Topological representation to learn diverse and rewarding skills
Predicting missing links and their weights via reliable-route-based method
Finite Element Analysis of Time Fractional Integro-differential Equations of Kirchhoff type for Non-homogeneous Materials
AnyHLS: High-Level Synthesis with Partial Evaluation
Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
Conf-Profile: A Confidence-Driven Reasoning Paradigm for Label-Free User Profiling
GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace
On Exact Distribution of Poisson-Voronoi Area in K-tier HetNets with Generalized Association Rule
Towards the Future: Bring Program Correctness back to the focus
Literature Review Of Multi-Agent Debate For Problem-Solving
Learning Better Intent Representations for Financial Open Intent Classification
A Model-Driven Engineering Approach for ROS using Ontological Semantics
Verification of Programs by Combining Iterated Specialization with Interpolation
Robust Visual Tracking via Inverse Nonnegative Matrix Factorization
Impact of Mobile Transmitter Sources on Radio Frequency Wireless Energy Harvesting
LinFusion: 1 GPU, 1 Minute, 16K Image
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning
A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal
Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin
Internet of Things (IoT) based ECG System for Rural Health Care
The Forest Metric for Graph Vertices
Liquid-gas-solid flows with lattice Boltzmann: Simulation of floating bodies
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
Learning Latent Graph Dynamics for Deformable Object Manipulation
HRSAM: Efficiently Segment Anything in High-Resolution Images
Towards a prioritised use of transportation infrastructures: the case of vehicle-specific dynamic access restrictions to city centres
Alternatives to the Journal Impact Factor: I3 and the Top-10% (or Top-25%?) of the Most-Highly Cited Papers
Probing of Quantitative Values in Abstractive Summarization Models
Degraded Broadcast Diamond Channels with Non-Causal State Information at the Source
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians
Adversarial Training for Free!
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility
NeRFocus: Neural Radiance Field for 3D Synthetic Defocus
Housing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
Nuclear Discrepancy for Active Learning
Asynchronous Grid Connections Providing Fast-Frequency Response: System Integration Study
DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding
High-resolution solutions of nonlinear, advection-dominated problems using a generalized finite element method
Truncated Channel Inversion Power Control to Enable One-Way URLLC with Imperfect Channel Reciprocity
Chatter Avoidance in Delayed Feedback Attitude Control with MRP Shadow Set Switching
On the Semantic Relationship between Probabilistic Soft Logic and Markov Logic
A Repository-Level Dataset For Detecting, Classifying and Repairing Software Vulnerabilities
Return Migration After Brain Drain: An Agent Based Simulation Approach
Transactive Community Microgrids to Share Energy Storage Resources in Portugal
Technical Challenges in Maintaining Tax Prep Software with Large Language Models
Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis
Automated Quantum Software Engineering: why? what? how?
Intuitive Human-Robot Interfaces Leveraging on Autonomy Features for the Control of Highly-redundant Robots
Small Language Model Meets with Reinforced Vision Vocabulary
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Lazy abstractions for timed automata
Smoothed Analysis of Tensor Decompositions
Predicting System-level Power for a Hybrid Supercomputer
Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval
SAFE setup for generative molecular design
Mobile Traffic Prediction at the Edge through Distributed and Transfer Learning
A Secure Multiple Elliptic Curves Digital Signature Algorithm for Blockchain
Regression analysis of distributional data through Multi-Marginal Optimal transport
Equity Scores for Public Transit Lines from Open-Data and Accessibility Measures
SAR-TEXT: A Large-Scale SAR Image-Text Dataset Built with SAR-Narrator and Progressive Transfer Learning
Future and AI-Ready Data Strategies: Response to DOC RFI on AI and Open Government Data Assets
An Analysis of Publication Venues for Automatic Differentiation Research
Design of conformal antenna for aircraft application
Improved in-place associative integer sorting
Modus ponens and modus tollens for the compositional rule of inference with aggregation functions
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Learning Few-shot Open-set Classifiers using Exemplar Reconstruction
HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
The Elusive Present: Hidden Past and Future Dependency and Why We Build Models
RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises
An Algorithm for Ennola's Second Theorem and Counting Smooth Numbers in Practice
A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis
SARS-CoV-2 Result Interpretation based on Image Analysis of Lateral Flow Devices
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network
Autoformalizer with Tool Feedback
Conditional Panoramic Image Generation via Masked Autoregressive Modeling
Hierarchical Decision Ensembles- An inferential framework for uncertain Human-AI collaboration in forensic examinations
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
Quantum Commuting Circuits and Complexity of Ising Partition Functions