yusuke1997/dblp-id-title huggingface dataset:
XL-Instruct: Synthetic Data for Cross-Lingual Open-Ended Generation
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
On the Parameterized Cluster Editing with Vertex Splitting Problem
Coordinate System Selection for Minimum Error Rate Training in Statistical Machine Translation
CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences
PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures
Capacity Results for MIMO Optical Wireless Communication With Per-Antenna Intensity Constraints
Tor Users Contributing to Wikipedia: Just Like Everybody Else?
Automatic Prosody Prediction for Chinese Speech Synthesis using BLSTM-RNN and Embedding Features
A Decomposition-Based Many-Objective Evolutionary Algorithm with Local Iterative Update
A Decision Support Framework for Manufacturing Improvement and Relocation Prevention in Thailand: Supply Chain Perspective
Enhancing LLM Evaluations: The Garbling Trick
An Empirical Evaluation of Temporal Graph Benchmark
ML framework for global river flood predictions based on the Caravan dataset
Complexity Bounds for Ordinal-Based Termination
Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap
β-calibration of Language Model Confidence Scores for Generative QA
Some Issues on the Theory of the Mimic-Computing-Oriented Automata
Provably Near-Optimal Distributionally Robust Reinforcement Learning in Online Settings
A fast Fourier spectral method for the linearized Boltzmann collision operator
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition
Learning operators for identifying weak solutions to the Navier-Stokes equations
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation
iRED: A disaggregated P4-AQM fully implemented in programmable data plane hardware
Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment
Inteligencia artificial para la multi-clasificación de fauna en fotografías automáticas utilizadas en investigación científica
CDST: A Toolkit for Testing Cockpit Display Systems of Avionics
Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation
LogMin: A Model For Call Log Mining In Mobile Devices
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
An Efficient Approximation Algorithm for Multi-criteria Indoor Route Planning Queries
Evaluating Multimodal Large Language Models with Daily Composite Tasks in Home Environments
Acoustic-aware Non-autoregressive Spell Correction with Mask Sample Decoding
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
Face Parsing via a Fully-Convolutional Continuous CRF Neural Network
Exploring the Impact of Tunable Agents in Sequential Social Dilemmas
The Piggy Bank Cryptographic Trope
Deep-Learning Recognition of Scanning Transmission Electron Microscopy: Quantifying and Mitigating the Influence of Gaussian Noises
On the Coherence Properties of Random Euclidean Distance Matrices
Online hyperparameter optimization by real-time recurrent learning
A Survey on MIMO Transmission with Discrete Input Signals: Technical Challenges, Advances, and Future Trends
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images
Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics
Learning Partitions using Rank Queries
Online Covering with Multiple Experts
Future Computing Platforms for Science in a Power Constrained Era
Semantic-Guided Two-Stage GAN for Face Inpainting with Hybrid Perceptual Encoding
Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data
Infrastructure-free Localization of Aerial Robots with Ultrawideband Sensors
Inductive Bias for Emergent Communication in a Continuous Setting
Quantifying the Influence of User Behaviors on the Dissemination of Fake News on Twitter with Multivariate Hawkes Processes
Maxwell à la Helmholtz: Electromagnetic scattering by 3D perfect electric conductors via Helmholtz integral operators
Blind Targeting: Personalization under Third-Party Privacy Constraints
Output-sensitive Complexity of Multiobjective Combinatorial Optimization
Facial Expression Recognition with Swin Transformer
Multi-channel Sensing And Resource Allocation in Energy Constrained Cognitive Radio Networks
Simulation Limitations of Affine Cellular Automata
Automated Cinematography Motion Planning for UAVs
Video Labeling for Automatic Video Surveillance in Security Domains
bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs
Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs
The minimal computational substrate of fluid intelligence
DeepGreen: Effective LLM-Driven Green-washing Monitoring System Designed for Empirical Testing - Evidence from China
Intelligent Omni-Surfaces: Simultaneous Refraction and Reflection for Full-dimensional Wireless Communications
Super-resolution Line Spectrum Estimation with Block Priors
Asynchronous Adaptation and Learning over Networks - Part II: Performance Analysis
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech
Do Large Language Models Show Decision Heuristics Similar to Humans? A Case Study Using GPT-3.5
Physics-Informed Neural Networks for Industrial Gas Turbines: Recent Trends, Advancements and Challenges
Unsupervised Learning aids Prediction: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction
Declarative Policy Control for Data Spaces: A DSL-Based Approach for Manufacturing-X
Context-Aware Reliability Prediction of Black-Box Services
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal
Conditional Invertible Flow for Point Cloud Generation
Extracting Conceptual Knowledge from Natural Language Text Using Maximum Likelihood Principle
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum
Design of an algorithm for acoustic signal detection of moving vehicles
RACIMO@Bucaramanga: A Citizen Science Project on Data Science and Climate Awareness
Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks
Intuitive Neuromyoelectric Control of a Dexterous Bionic Arm Using a Modified Kalman Filter
Sequence Analysis Using the Bezier Curve
DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion
Time filtering methods for electrohydrodynamics models
Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums
A Model Driven Approach on Object Oriented PLC Programming for Manufacturing Systems with regard to Usability
A Probabilistic Bound for Peak Age of Information Guarantee
GNAS: A Generalized Neural Network Architecture Search Framework
Application of Multi-layer Graphs In the Design of MPLS Networks
Styler: Learning Formatting Conventions to Repair Checkstyle Errors
CPS-MEBR: Click Feedback-Aware Web Page Summarization for Multi-Embedding-Based Retrieval
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
Concept Drift Detection for Imbalanced Stream Data
Finding a solution to the Erdős-Ginzburg-Ziv theorem in O(n log log log n) time
Validity and Reliability of the Scale Internet Users' Information Privacy Concern (IUIPC) [Extended Version]
QuanFuzz: Fuzz Testing of Quantum Program
H_\infty Almost Output and Regulated Output Synchronization of Heterogeneous Multi-agent Systems: A Scale-free Protocol Design
Exploring Older Adults' Perceptions and Experiences with Online Dating
Stochastic simulation of residential building occupant-driven energy use in a bottom-up model of the U.S. housing stock
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment
Loop closure grasping: Topological transformations enable strong, gentle, and versatile grasps
Real-time energy monitoring infrastructure for residential collective self-consumption operations using Linky meter
Efficient Approximate Quantum State Tomography with Basis Dependent Neural-Networks
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
Incorporating Data Uncertainty in Object Tracking Algorithms
Parametic Classification of Handvein Patterns Based on Texture Features
ASV-Swarm: a high-performance simulator for the dynamics of a swarm of autonomous marine vehicles in waves
The Two Word Test: A Semantic Benchmark for Large Language Models
Simple and Effective Specialized Representations for Fair Classifiers
TimeGPT in Load Forecasting: A Large Time Series Model Perspective
Real-time Level-of-Detail Strand-based Hair Rendering
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
A Proximal-Gradient Algorithm for Crystal Surface Evolution
Real-time Mixed-Integer Quadratic Programming for Driving Behavior-Inspired Speed Bump Optimal Trajectory Planning
Expert Survey: AI Reliability & Security Research Priorities
Compressed Sensing for Moving Imagery in Medical Imaging
Mutual information-based group explainers with coalition structure for machine learning model explanations
Advancing and Benchmarking Personalized Tool Invocation for LLMs
Modeling "Newsworthiness" for Lead-Generation Across Corpora
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
2-Coherent Internal Models of Homotopical Type Theory
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient
Economic Valuation and Pricing of Inertia in Inverter-Dominated Power Systems
Probabilistic Temporal Logic over Finite Traces (Technical Report)
Indoor Massive MIMO Deployments for Uniformly High Wireless Capacity
Symmetry Breaking with Polynomial Delay
Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Handling Data Heterogeneity in Federated Learning via Knowledge Fusion
Local Sequential MCMC for Data Assimilation with Applications in Geoscience
HAIR: Hypernetworks-based All-in-One Image Restoration
Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees
Blockchain-Based Approach to Foster Student Engagement on Campus
CrossHuman: Learning Cross-Guidance from Multi-Frame Images for Human Reconstruction
Temporal Interest Network for Click-Through Rate Prediction
Pseudo-Non-Linear Data Augmentation via Energy Minimization
Enumerating Maximal Cliques in Temporal Graphs
Fast Training of Convolutional Networks through FFTs
Business Process Simulation: Probabilistic Modeling of Intermittent Resource Availability and Multitasking Behavior
UnitNorm: Rethinking Normalization for Transformers in Time Series
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
Renewal theory in analysis of tries and strings
Cluster Identification and Characterization of Physical Fields
BlurBall: Joint Ball and Motion Blur Estimation for Table Tennis Ball Tracking
Feature Selection Based on Confidence Machine
A Benchmark dataset for both underwater image enhancement and underwater object detection
Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam
Acoustic-to-articulatory Inversion based on Speech Decomposition and Auxiliary Feature
Computing the Collection of Good Models for Rule Lists
Can ChatGPT Compute Trustworthy Sentiment Scores from Bloomberg Market Wraps?
A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs
Distributed leader election and computation of local identifiers for programmable matter
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling
Wasserstein Stability of the Entropy Power Inequality for Log-Concave Densities
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
A Multipath Energy-Aware On demand Source Routing Protocol for Mobile Ad-Hoc Networks
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project
Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
An evaluation of deep learning models for predicting water depth evolution in urban floods
The Landscape of problematic papers in the field of non-coding RNA
Second-Order Statistics of $κ-μ$ Shadowed Fading Channels
Visualization and Analysis of Frames in Collections of Messages: Content Analysis and the Measurement of Meaning
Fairness Vs. Personalization: Towards Equity in Epistemic Utility
A Lightweight Privacy-Preserving Smart Metering Billing Protocol with Dynamic Tariff Policy Adjustment
Quantifying Functional Criticality of Lifelines Through Mobility-Derived Population-Facility Dependence for Human-Centered Resilience
Orthogonally Decoupled Variational Fourier Features
Harmonic And Transposition Constraints Arising From The Use Of The Roland TR-808 Bass Drum
AutoPET III Challenge: PET/CT Semantic Segmentation
DecoSurf: Recursive Geodesic Patterns on Triangle Meshes
Towards Smart Sustainable Cities: Addressing semantic heterogeneity in building management systems using discriminative models
Age Debt: A General Framework For Minimizing Age of Information
The Gaussian-Multinoulli Restricted Boltzmann Machine: A Potts Model Extension of the GRBM
Deterministic Approximation Algorithms for Volumes of Spectrahedra
Intelligence plays dice: Stochasticity is essential for machine learning
Do image and video quality metrics model low-level human vision?
FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
The Roll-Out of Community Notes Did Not Reduce Engagement With Misinformation on Twitter
Minimum Path Star Topology Algorithms for Weighted Regions and Obstacles
A Stochastic Geometry-based Demand Response Management Framework for Cellular Networks Powered by Smart Grid
On the Development of the Intersection of a Plane with a Polytope
Towards Function Space Mesh Watermarking: Protecting the Copyright of Signed Distance Fields
Towards a Principled Representation of Discourse Plans
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions
AI-Generated Content (AIGC): A Survey
Developing Experimental Models for NASA Missions with ASSL
The Good, the Bad, and the Ugly: Predicting Highly Change-Prone Source Code Methods at Their Inception
AC Power Flow Feasibility Restoration via a State Estimation-Based Post-Processing Algorithm
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding
Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection
Occ-Traj120: Occupancy Maps with Associated Trajectories
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips
"Mirror" Language AI Models of Depression are Criterion-Contaminated
The Complexity of Synthesis of b-Bounded Petri Nets
Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning
Swift: Rethinking RDMA Control Plane for Elastic Computing
A Cartesian Bicategory of Polynomial Functors in Homotopy Type Theory
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators
Three Laws of Statistical Linguistics Emerging in images
Multi-Antenna Coded Caching for Location-Aware Content Delivery
Packet-Level Traffic Modeling with Heavy-Tailed Payload and Inter-Arrival Distributions for Digital Twins
A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System
Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis
Collision-Free Multi Robot Trajectory Optimization in Unknown Environments using Decentralized Trajectory Planning
Flexibility Management for Space Logistics via Decision Rules
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
Assessing Opportunities of SYCL and Intel oneAPI for Biological Sequence Alignment
The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing
The Fundamental Learning Problem that Genetic Algorithms with Uniform Crossover Solve Efficiently and Repeatedly As Evolution Proceeds
Sample-Specific Noise Injection For Diffusion-Based Adversarial Purification
Persistence probabilities of spherical fractional Brownian motion
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks
Inclusive Online Learning in Australia: Barriers and Enablers
A posteriori analysis for a mixed formulation of the Stokes spectral problem
Using LLMs in Generating Design Rationale for Software Architecture Decisions
Explainable Techniques for Analyzing Flow Cytometry Cell Transformers
An Efficient Inference Frame for SMLM (Single-Molecule Localization Microscopy)
Assessing the Quality of Web Content
Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions
Data protection psychology using game theory
On Streaming Algorithms for the Steiner Cycle and Path Cover Problem on Interval Graphs and Falling Platforms in Video Games
PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting
Sales forecasting using WaveNet within the framework of the Kaggle competition
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition
Neumann Series in GMRES and Algebraic Multigrid Smoothers
On the Effect of Fading on Ad hoc Networking
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction
Emulating On-Orbit Interactions Using Forward Dynamics Based Cartesian Motion
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning
Common Structure Discovery in Collections of Bipartite Networks: Application to Pollination Systems
Prompting Test-Time Scaling Is A Strong LLM Reasoning Data Augmentation
Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers
Geo-Text Data and Data-Driven Geospatial Semantics
Graph-Based Learning of Spectro-Topographical EEG Representations with Gradient Alignment for Brain-Computer Interfaces
Improving AI-generated music with user-guided training
From Sora What We Can See: A Survey of Text-to-Video Generation
Prediction of Protein Three-dimensional Structures via a Hardware-Executable Quantum Computing Framework
A context encoder for audio inpainting
Some Results On Point Visibility Graphs
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Computing basis of solutions of any Mahler equation
Phase Unwrapping of Color Doppler Echocardiography using Deep Learning
FashionMAC: Deformation-Free Fashion Image Generation with Fine-Grained Model Appearance Customization
Enhancement of damaged-image prediction through Cahn-Hilliard Image Inpainting
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving
Can Active Learning Preemptively Mitigate Fairness Issues?
A Cointuitionistic Adjoint Logic
The Challenges Ahead for Bio-inspired Neuromorphic Event Processors: How Memristors Dynamic Properties Could Revolutionize Machine Learning
Implicit Inversion turns CLIP into a Decoder
Perspective-Invariant 3D Object Detection
Record Counting in Historical Handwritten Documents with Convolutional Neural Networks
Estimating Indoor Scene Depth Maps from Ultrasonic Echoes
Depth image hand tracking from an overhead perspective using partially labeled, unbalanced data: Development and real-world testing
Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder
Online Evasive Strategy for Aerial Survey using Sierpinski curve
Experimental Research in Synthetic Molecular Communications - Part I: Overview and Short-Range Systems
Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science
CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description
Coding Facial Expressions with Gabor Wavelets (IVC Special Issue)
Spatio-Temporal RBF Neural Networks
A Inteligência Artificial Generativa no Ecossistema Acadêmico: Uma Análise de Aplicações, Desafios e Oportunidades para a Pesquisa, o Ensino e a Divulgação Científica
Transformer with Depth-Wise LSTM
Improved Motor Imagery Classification Using Adaptive Spatial Filters Based on Particle Swarm Optimization Algorithm
ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
NeuroBoun: An inquiry-based approach for exploring scientific literature - a use case in neuroscience
Sorting a Low-Entropy Sequence
Towards Semantic Query Segmentation
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations
Expected Confidence Dependency: A Novel Rough Set-Based Approach to Feature Selection
Characterizing Ambiguity in Light Source Invariant Shape from Shading
Intelligence-based Cybersecurity Awareness Training- an Exploratory Project
ParFormer: Vision Transformer Baseline with Parallel Local Global Token Mixer and Convolution Attention Patch Embedding
Revisiting the General Identifiability Problem
Detecting and Characterizing Planning in Language Models
Collaborative Evolving Strategy for Automatic Data-Centric Development
Added value of morphological features to breast lesion diagnosis in ultrasound
Network polarization, filter bubbles, and echo chambers: An annotated review of measures, models, and case studies
Statistical Modeling of Data Breach Risks: Time to Identification and Notification
LUCAS: A Low-Power Ultra-Low Jitter Compact ASIC for SiPM Targetting ToF-CT
Micro-Attention for Micro-Expression recognition
FastDTW is approximate and Generally Slower than the Algorithm it Approximates
MS-PPO: Morphological-Symmetry-Equivariant Policy for Legged Robot Locomotion
AltGr-Ergo, a Graphical User Interface for the SMT Solver Alt-Ergo
A Price Driven Hazard Approach to User Retention
seg2med: a segmentation-based medical image generation framework using denoising diffusion probabilistic models
Passive Measurement of Autonomic Arousal in Real-World Settings
Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape
The Realizable Extension Problem and the Weighted Graph $(K_{3,3},l)$
Turned 70? It is time to start editing Wikipedia
Context Aware Document Embedding
Work-Efficient Parallel Counting via Sampling
Modeling uncertainty for Gaussian Splatting
An Exercise Fatigue Detection Model Based on Machine Learning Methods
Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Under Dynamic Lighting and Weather Conditions Using Electric Vehicles
Resource Optimization with Interference Coupling in Multi-IRS-assisted Multi-cell Systems
SRM-Hair: Single Image Head Mesh Reconstruction via 3D Morphable Hair
Semantic Sentence Embeddings for Paraphrasing and Text Summarization
Subspace clustering without knowing the number of clusters: A parameter free approach
PathFix: Automated Program Repair with Expected Path