yusuke1997/dblp-id-title huggingface dataset:
On the segmentation of astronomical images via level-set methods
Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models
Modelling and Analysis of Biochemical Signalling Pathway Cross-talk
Problem Solving in Sprego
Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey
Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning
Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning
Layer-level activation mechanism
Cost-Optimized Systems Engineering for IoT-Enabled Robot Nurse in Infectious Pandemic Management
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Attention-aware non-rigid image registration for accelerated MR imaging
KAN KAN Buff Signed Graph Neural Networks?
Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing
Real-time stereo vision-based lane detection system
A method for the segmentation of images based on thresholding and applied to vesicular textures
An Analytical Perspective to Traffic Engineering in Anonymous Communication Systems
An Artificial Neural Network Architecture Based on Context Transformations in Cortical Minicolumns
Optimal Point-to-Point Codes in Interference Channels: An Incremental I-MMSE approach
A GPU-accelerated Cartesian grid method is proposed for solving the heat, wave, and Schrodinger equations on irregular domains
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography
Analysis of feature learning in weight-tied autoencoders via the mean field lens
TrajFlow: Learning the Distribution over Trajectories
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models
Exploring the limitations of blood pressure estimation using the photoplethysmography signal
Sentence Embeddings as an intermediate target in end-to-end summarisation
Phase Preservation of N-Port Networks under General Connections
Compressive Recovery of Signals Defined on Perturbed Graphs
Set Transformation: Trade-off Between Repair Bandwidth and Sub-packetization
Toward Knowledge Discovery Framework for Data Science Job Market in the United States
Realistic Video Sequences for Subjective QoE Analysis
CMP: A Composable Meta Prompt for SAM-Based Cross-Domain Few-Shot Segmentation
HeedVision: Attention Awareness in Collaborative Immersive Analytics Environments
On weighted Fisher information matrix properties
MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables
Statically Detecting Buffer Overflow in Cross-language Android Applications Written in Java and C/C++
DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search
Intelligent Circuit Design and Implementation with Machine Learning
Hands-on Wireless Sensing with Wi-Fi: A Tutorial
Co-Design and implementation of an open-source 3D printed robot
Hallucination of Multimodal Large Language Models: A Survey
Comparative Analysis of Classic Garbage-Collection Algorithms for a Lisp-like Language
AI Didn't Start the Fire: Examining the Stack Exchange Moderator and Contributor Strike
SimiSketch: Efficiently Estimating Similarity of streaming Multisets
Towards Efficient and Secure Cloud Control Systems: Advances, Challenges, and Future Directions
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction
BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis
Robofriend: An Adpative Storytelling Robotic Teddy Bear - Technical Report
MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks
Vocabulary-free Image Classification and Semantic Segmentation
Where is AIED Headed? Key Topics and Emerging Frontiers (2020-2024)
Generating Conceptual Metaphors from Proposition Stores
Physics-informed GANs for Coastal Flood Visualization
Blockchain-Enabled Device-Enhanced Multi-Access Edge Computing in Open Adversarial Environments
Oversegmenting Graphs
Revision Proposal for the Mool Language
"It Was a Magical Box": Understanding Practitioner Workflows and Needs in Optimization
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation
Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects
Depth F 1 : Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability
Index Coding and Error Correction
SERES: Semantic-aware neural reconstruction from sparse views
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Grease the gears for a steady microfluidic flow
A Simple Condition for the Existence of Transversals
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
Intrusion Detection Using Execution Contexts Learned from System Call Distributions of Real-Time Embedded Systems
Collaboration in the open-source arena: The WebKit case
Energy Usage Reports: Environmental awareness as part of algorithmic accountability
Multi-task Self-distillation for Graph-based Semi-Supervised Learning
Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation
Zecale: Reconciling Privacy and Scalability on Ethereum
On constraint programming for a new flexible project scheduling problem with resource constraints
Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models
Estimating Network Models using Neural Networks
Adaptive sub-linear Fourier algorithms
An Upper Bound for Random Measurement Error in Causal Discovery
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
Post-pandemic mobility patterns in London
Adapting to climate change: Long-term impact of wind resource changes on China's power system resilience
Performance Comparison of Reed Solomon Code and BCH Code over Rayleigh Fading Channel
A 3/2-approximation algorithm for the Student-Project Allocation problem
Building Floorspace in China: A Dataset and Learning Pipeline
On $(2n/3-1)$-resilient $(n, 2)$-functions
Vidur: A Large-Scale Simulation Framework For LLM Inference
Analytical Modeling and Design of Gallium Oxide Schottky Barrier Diodes Beyond Unipolar Figure of Merit Using High-k Dielectric Superjunction Structures
s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning
Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chains
TunesFormer: Forming Tunes with Control Codes
Selfish vs. Unselfish Optimization of Network Creation
Twofold Video Hashing with Automatic Synchronization
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation
Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
SPDE bridges with observation noise and their spatial approximation
Nostalgic Adam: Weighing more of the past gradients when designing the adaptive learning rate
A Paraconsistent ASP-like Language with Tractable Model Generation
Drone Flight Path Architecture
A Frequency-Structure Approach for Link Stream Analysis
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation
Learning Equilibrium of a Stochastic Game on Gaussian Interference Channels with Incomplete Information
A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array
Understanding Counterexamples for Relational Properties with DIbugger
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification
The Parameterised Complexity of Counting Connected Subgraphs
Leveraging Fundamental Analysis for Stock Trend Prediction for Profit
NAUTILUS: a Versatile Voice Cloning System
Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images
Grounding of the Functional Object-Oriented Network in Industrial Tasks
CO2Wounds-V2: Extended Chronic Wounds Dataset From Leprosy Patients
Robust Deep Learning with Active Noise Cancellation for Spatial Computing
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Human-centred test and evaluation of military AI
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
Klessydra-T: Designing Vector Coprocessors for Multi-Threaded Edge-Computing Cores
Modelling, design and control of middle-size tilt-rotor quadrotor
Improved rates for derivative free play in convex games
Enhancing Impression Change Prediction in Speed Dating Simulations Based on Speakers' Personalities
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images
A Novel Highway Traffic Capacity Analyzing Method under Road Region Atmospheric Environment Constrains Based on Computational Fluid Dynamics Model
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
Generate and Edit Your Own Character in a Canonical View
Automatically Generating Metamorphic Relations via Genetic Programming
Reliability and Sharpness in Border Crossing Traffic Interval Prediction
Fault Detection in C Programs using Monitoring of Range Values: Preliminary Results
Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction
Histogram-Aware Sorting for Enhanced Word-Aligned Compression in Bitmap Indexes
Methods To Ensure Privacy Regarding Medical Data - Including an examination of the differential privacy algorithm RAPPOR and its implementation in "Cryptool 2"
Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units
Socioeconomic correlations and stratification in social-communication networks
SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation
Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures
Analysis Tool for UNL-Based Knowledge Representation
An Algorithm for Correct Computation of Reeb Spaces for PL Bivariate Fields
Scaling Effects for Electromagnetic Vibrational Power Generators
A Comparison Study of Nonlinear Kernels
Do Large Language Models Think Like the Brain? Sentence-Level Evidence from fMRI and Hierarchical Embeddings
The Linked Open Data cloud is more abstract, flatter and less linked than you may think!
Consensus of Double Integrator Multiagent Systems under Nonuniform Sampling and Changing Topology
A Joint Design for Full-duplex OFDM AF Relay System with Precoded Short Guard Interval
Systematic Review for AI-based Language Learning Tools
SLYKLatent, a Learning Framework for Facial Features Estimation
"We just did not have that on the embedded system": Insights and Challenges for Securing Microcontroller Systems from the Embedded CTF Competitions
The Causal Topography of Cognition
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
Robust Fixed-Interval Smoothing for the Estimation of Optical Phase Varying as a Continuous Resonant Process
A Cost Minimization Approach to Synthesis of Linear Reversible Circuits
Overview of Blakley's Secret Sharing Scheme
Classifying Histopathologic Glioblastoma Sub-regions with EfficientNet
On Non-Interactive Simulation of Distributed Sources with Finite Alphabets
Surface-Based Manipulation
Repository-Level Compositional Code Translation and Validation
Gradient-Optimized Fuzzy Classifier: A Benchmark Study Against State-of-the-Art Models
Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference
XAgents: A Framework for Interpretable Rule-Based Multi-Agents Cooperation
Detecting Errors in Numerical Data via any Regression Model
Towards Dual-band Reconfigurable Metamaterial Surfaces for Satellite Networking
Self-attention vector output similarities reveal how machines pay attention
About the unification type of simple symmetric modal logics
The Optimist: Towards Fully Automated Graph Theory Research
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem
Evolving Voices Based on Temporal Poisson Factorisation
Tensor Gauge Flow Models
Compatibility graphs in scheduling on batch processing machines
Infinite GMRES for parameterized linear systems
Reconceptualizing Smart Microscopy: From Data Collection to Knowledge Creation by Multi-Agent Integration
On the Cost of Unsuccessful Searches in Search Trees with Two-way Comparisons
Image and Texture Independent Deep Learning Noise Estimation using Multiple Frames
Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-View 3D Detection and Tracking
Information Storage and Retrieval for Probe Storage using Optical Diffraction Patterns
Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics
Demographic growth and the distribution of language sizes
DRS-LIP: Linear Inverted Pendulum Model for Legged Locomotion on Dynamic Rigid Surfaces
WiFi-CSI Sensing and Bearing Estimation in Multi-Robot Systems: An Open-Source Simulation Framework
Attention-Enhanced Reservoir Computing
Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks
Understanding the Power of Persistence Pairing via Permutation Test
Addressing prior dependence in hierarchical Bayesian modeling for PTA data analysis II: Noise and SGWB inference through parameter decorrelation
Learning to Visually Connect Actions and their Effects
Trust, But Verify: An Empirical Evaluation of AI-Generated Code for SDN Controllers
Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts
Comparison of Machine Learning Models in Food Authentication Studies
CHUCKLE - When Humans Teach AI To Learn Emotions The Easy Way
DivCon: Divide and Conquer for Progressive Text-to-Image Generation
Automatic verification of transparency protocols (extended version)
Supervised Dimensionality Reduction via Distance Correlation Maximization
Incentive Mechanisms for Internet Congestion Management: Fixed-Budget Rebate versus Time-of-Day Pricing
DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding
Coalition manipulations of the Gale-Shapley algorithm
A Watermark for Low-entropy and Unbiased Generation in Large Language Models
Contrastive Desensitization Learning for Cross Domain Face Forgery Detection
Visualization Literacy of Multimodal Large Language Models: A Comparative Study
On the precise quantification of the impact of a single discretionary lane change on surrounding traffic
Efficient Controlled Bidirectional Quantum Secure Direct Communication using entanglement swapping and EPR pairs
Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging
Biogeography-Based Optimization of RC structures including static soil-structure interaction
Reliable Physical-layer Network Coding Supporting Real Applications
GGTalker: Talking Head Systhesis with Generalizable Gaussian Priors and Identity-Specific Adaptation
Hierarchical decoding to reduce hardware requirements for quantum computing
Bulk-surface virtual element method for systems of coupled bulk-surface PDEs in two-space dimensions
Millimetre-waves to Terahertz SISO and MIMO Continuous Variable Quantum Key Distribution
Regulated Multiset Rewriting Systems
A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion
The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing
Structure-Preserving Interpolation for Model Reduction of Parametric Bilinear Systems
Critical Regression Analysis of Real Time Industrial Web Data Set Using Data Mining Tool
Large Deviations for Classification Performance Analysis of Machine Learning Systems
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
Foundations of information theory for coding theory
A Current-Flow Centrality With Adjustable Reach
Kernel-based L_2-Boosting with Structure Constraints
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities
Machine Learning Assisted Bad Data Detection for High-throughput Substation Communication
ChronoPscychosis: Temporal Segmentation and Its Impact on Schizophrenia Classification Using Motor Activity Data
3-of-3 Multisignature Approach for Enabling Lightning Network Micro-payments on IoT Devices
Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving
Hodge Laplacians on graphs
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
Explaining Neural Networks without Access to Training Data
Unsupervised training of a deep clustering model for multichannel blind source separation
Threat Perception Modulation by Capturing Emotion, Motor and Empathetic System Responses: A Systematic Review
Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data
LoGDesc: Local geometric features aggregation for robust point cloud registration
Improved statistical machine translation using monolingual paraphrases
Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects
Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts
Making Characters Count. A Computational Approach to Scribal Profiling in 14th-Century Middle Dutch Manuscripts from the Carthusian Monastery of Herne
Object Structure from Manipulation via Particle Filter and Robot-based Active Learning
Characterizing Physician Referral Networks with Ricci Curvature
Guarded Query Routing for Large Language Models
Graded strength of comparative illusions is explained by Bayesian inference
A Cyclic Small Phase Theorem
A Real-time Defense against Website Fingerprinting Attacks
Privacy for the Protected (Only)
Human Trajectories Characteristics
Heterogeneous Network Motifs
Kernelized Sparse Fine-Tuning with Bi-level Parameter Competition for Vision Models
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
Iteratively reweighted kernel machines efficiently learn sparse functions
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
Memento Ludi: Information Retrieval from a Game-Theoretic Perspective
An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting
Convergence of a Operator Splitting Scheme for Fractional Conservation laws with Levy Noise
Learning to Play Pursuit-Evasion with Dynamic and Sensor Constraints
On the non-existence of perfect codes in the NRT-metric
The Second Place Solution for ICCV2021 VIPriors Instance Segmentation Challenge
Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil
Conformal mapping in linear time
On a constructive characterization of a class of trees related to pairs of disjoint matchings
Portal UX Agent - A Plug-and-Play Engine for Rendering UIs from Natural Language Specifications
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues
Sampling recovery on function classes with a structural condition
Offline-to-online hyperparameter transfer for stochastic bandits
AI-powered Covert Botnet Command and Control on OSNs
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface
A New Capacity Scaling Law in Ultra-Dense Networks
Signature-based algorithms for Gr{ö}bner bases over Tate algebras
Quantifying Self-Awareness of Knowledge in Large Language Models
OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation
Improving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion
The sum-of-squares hierarchy on the sphere, and applications in quantum information theory
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
A Study of Human Body Characteristics Effect on Micro-Doppler-Based Person Identification using Deep Learning
Classification using Ensemble Learning under Weighted Misclassification Loss
Linear-time Outlier Detection via Sensitivity
Design of an Novel Spectrum Sensing Scheme Based on Long Short-Term Memory and Experimental Validation
Bio-inspired circular soft actuators for simulating defecation process of human rectum
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition
Modeling Content Creator Incentives on Algorithm-Curated Platforms
Analysis of IRS-Assisted NOMA for 6G Wireless Communications
Properties of Group Fairness Metrics for Rankings
Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression
Extending Utility Representations of Partial Orders
Digging Deeper into Deep Web Databases by Breaking Through the Top-k Barrier
On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks
Code Review as Decision-Making - Building a Cognitive Model from the Questions Asked During Code Review
The Universe at Extreme Scale: Multi-Petaflop Sky Simulation on the BG/Q
The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention
Plasticine3D: Non-rigid 3D editting with text guidance
Effective Positivity Problems for Simple Linear Recurrence Sequences
Multipath-TCP in ns-3
Theory of Mind in Action: The Instruction Inference Task
Analyzing the Evolution of Graphs and Texts
SMARAGD: Synthesized sMatch for Accurate and Rapid AMR Graph Distance
Reasoning with Confidence: Efficient Verification of LLM Reasoning Steps via Uncertainty Heads
Artificial Intelligence and Economic Theories
A Two-Phase Genetic Algorithm for Image Registration
On Some Variants of Euclidean K-Supplier
An algorithm for computing CVTs for any Cantor distribution
Social Networking by Proxy: A Case Study of Catster, Dogster and Hamsterster
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
EnviroLLM: Resource Tracking and Optimization for Local AI
Demystifying BERT: Implications for Accelerator Design
Serious Flaws in Korf et al.'s Analysis on Time Complexity of A*
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation
An r -adaptive finite element method using neural networks for parametric self-adjoint elliptic problem
GisPy: A Tool for Measuring Gist Inference Score in Text
The History of Software Architecture - In the Eye of the Practitioner
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation
Generative Adversarial Networks for Data Augmentation
Team Behavior in Interactive Dynamic Influence Diagrams with Applications to Ad Hoc Teams
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions
Brain-inspired and Self-based Artificial Intelligence
Predicting COVID-19 Prevalence Using Wastewater RNA Surveillance: A Semi-Supervised Learning Approach with Temporal Feature Trust
CBDES MoE: Hierarchically Decoupled Mixture-of-Experts for Functional Modules in Autonomous Driving
Covering with Excess One: Seeing the Topology