yusuke1997/dblp-id-title huggingface dataset:
Dynamic O(arboricity) coloring in polylogarithmic worst-case time
E2FL: Equal and Equitable Federated Learning
Particle tracking manifestation of compressible flow and mixing induced by Rayleigh-Taylor instability
Towards Certified Robustness of Metric Learning
Generating new coordination compounds via multireference simulations, genetic algorithms and machine learning: the case of Co(II) molecular magnets
Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment
Learning to Design Circuits
CPSLint: A Domain-Specific Language Providing Data Validation and Sanitisation for Industrial Cyber-Physical Systems
Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing
ACO based Adaptive RBFN Control for Robot Manipulators
VS-LLM: Visual-Semantic Depression Assessment based on LLM for Drawing Projection Test
Automated Process Planning for Turning: A Feature-Free Approach
Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study
Firmware Re-hosting Through Static Binary-level Porting
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
Novel Models for High-Dimensional Imaging: High-Resolution fMRI Acceleration and Quantification
Connecting Dreams with Visual Brainstorming Instruction
Task-related self-supervised learning for remote sensing image change detection
Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation
Design and Validation of a Wireless Drone Docking Station
Kidney segmentation in neck-to-knee body MRI of 40, 000 UK Biobank participants
On the enumerating series of an abstract numeration system
Robust ML-based Detection of Conventional, LLM-Generated, and Adversarial Phishing Emails Using Advanced Text Preprocessing
Power Optimal Non-contiguous Spectrum Access in Multi Front End Radio Enabled Point-to-Point Link
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems
Toward a New Policy for Scientific and Technical Communication: the Case of Kyrgyz Republic
Fundamental limitations of monotonic tracking systems
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation
Bridging Causal Consistent and Time Reversibility: A Stochastic Process Algebraic Approach
Robotic LEGO Assembly and Disassembly from Human Demonstration
Advanced Smart City Monitoring: Real-Time Identification of Indian Citizen Attributes
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings
Can we say a cat is a cat? Understanding the challenges in annotating physiological signal-based emotion data
Deep Complex U-Net with Conformer for Audio-Visual Speech Enhancement
In which fields can ChatGPT detect journal article quality? An evaluation of REF2021 results
HCT-QA: A Benchmark for Question Answering on Human-Centric Tables
Hierarchical Learning-Based Control for Multi-Agent Shepherding of Stochastic Autonomous Agents
Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance
Sequential Selection of Correlated Ads by POMDPs
Two Trends in Mobile Security: Financial Motives and Transitioning from Static to Dynamic Analysis
Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization
SpaRCe: Sparse reservoir computing
Introducing Individuality into Students' High School Timetables
MARVO: Marine-Adaptive Radiance-aware Visual Odometry
Estimation of thermal properties and boundary heat transfer coefficient of the ground with a Bayesian technique
Improving Scalability of Inductive Logic Programming via Pruning and Best-Effort Optimisation
The Unimodular Intersection Problem
Supervised Class-pairwise NMF for Data Representation and Classification
Novel Pigeon-inspired 3D Obstacle Detection and Avoidance Maneuver for Multi-UAV Systems
ReBaPL: Repulsive Bayesian Prompt Learning
Dexterous Hand Manipulation via Efficient Imitation-Bootstrapped Online Reinforcement Learning
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks
Fast Computation of Empirically Tight Bounds for the Diameter of Massive Graphs
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
LEGO: Layout Expression for Generating One-to-one Mapping
Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals
Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy
Lynx: An Open Source Hallucination Evaluation Model
MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splatting
Exact Fit Attention in Node-Holistic Graph Convolutional Network for Improved EEG-Based Driver Fatigue Detection
BadSFL: Backdoor Attack against Scaffold Federated Learning
Broadcast Strategies and Performance Evaluation of IEEE 802.15.4 in Wireless Body Area Networks WBAN
Algorithmic Mirror: Designing an Interactive Tool to Promote Self-Reflection for YouTube Recommendations
Collaborative GAN Sampling
Towards Text-free Graph Foundation Models: Rethinking Multi-Domain Graph Contrastive Learning
Design of intelligent proofreading system for English translation based on CNN and BERT
A New Approach to Constructing Quadratic Pseudo-Planar Functions over $\gf_{2^n}$
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception
New Bounds on Antipowers in Binary Words
Towards cloud-native scientific workflow management
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
Continuous Limits for Constrained Ensemble Kalman Filter
SPaRC: A Spatial Pathfinding Reasoning Challenge
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
Efficient and Low-Footprint Object Classification using Spatial Contrast
Flaglets for studying the large-scale structure of the Universe
Unconditionally optimal error Estimate of a linearized Second-order Fully Discrete Finite Element Method for the bioconvection flows with concentration dependent viscosity
COVID-19 Blockchain Framework: Innovative Approach
Verifying LLM Inference to Prevent Model Weight Exfiltration
SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification
Secured Greedy Perimeter Stateless Routing for Wireless Sensor Networks
Wireless Peer-to-Peer Mutual Broadcast via Sparse Recovery
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios
An Optimal Witness Function for Two-Sample Testing
Consensus of Hybrid Multi-agent Systems
Safe Online Convex Optimization with Multi-Point Feedback
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction
Joint Equalization and Decoding for Nonlinear Two-Dimensional Intersymbol Interference Channels
Coprocessors: failures and successes
Public Data Integration with WebSmatch
Learning Pixel-Adaptive Weights for Portrait Photo Retouching
Fakernet - small and fast FPGA-based TCP and UDP communication
MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
Illustrations of non-Euclidean geometry in virtual reality
VLM-Vac: Enhancing Smart Vacuums through VLM Knowledge Distillation and Language-Guided Experience Replay
Roommate Compatibility Detection Through Machine Learning Techniques
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Ordering Matters: Word Ordering Aware Unsupervised NMT
Unlocking adaptive digital pathology through dynamic feature learning
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?
Dimensions of Copeland-Erdos Sequences
Graph Enhanced Reinforcement Learning for Effective Group Formation in Collaborative Problem Solving
Aggressive Post-Training Compression on Extremely Large Language Models
Morphological Productivity in the Lexicon
Calculus on MDPs: Potential Shaping as a Gradient
Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers
Schedulers Synchronization Supporting Ultra Reliable Low Latency Communications (URLLC) in Cloud-RAN over Virtualised Mesh PON
Improving a Quality of 3D Object Detection by Spatial Transformation Mechanism
Size-adaptive Hypothesis Testing for Fairness
Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox
Trajectory Prediction with Latent Belief Energy-Based Model
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning
Factorized schemes of second-order accuracy for numerical solving unsteady problems
LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decade
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
Forwarding Tables Verification through Representative Header Sets
Confidence Intervals for Unobserved Events
Optimal control of VNF deployment and scheduling
Confounding Ghost Channels and Causality: A New Approach to Causal Information Flows
Kinematic Base State Estimation for Humanoid using Invariant Extended Kalman Filter
Cost and CO2 emissions co-optimisation of green hydrogen production in a grid-connected renewable energy system
CIgrate: Automating CI Service Migration with Large Language Models
Efficient inference of interventional distributions
Unification in Matching Logic - Extended Version
A deep learning approach to single-particle recognition in cryo-electron microscopy
Safe Edges: A Study of Triangulation in Fill-in and Tree-Width Problems
Conceptual Text Summarizer: A new model in continuous vector space
Unveiling Factors for Enhanced POS Tagging: A Study of Low-Resource Medieval Romance Languages
Modeling "Equitable and Sustainable Well-being" (BES) using Bayesian Networks: A Case Study of the Italian regions
A Study on Tiny YOLO for Resource Constrained Xray Threat Detection
General Probabilistic Surface Optimization and Log Density Estimation
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2 D -Tree Representation
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss
Life Under Your Feet: An End-to-End Soil Ecology Sensor Network, Database, Web Server, and Analysis Service
The L-CSC cluster: greenest supercomputer in the world in Green500 list of November 2014
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
On the Everlasting Security of Password-Authenticated Quantum Key Exchange
Effective and Sparse Count-Sketch via k-means clustering
Invertible cells in ω-categories
Stable and Transferable Hyper-Graph Neural Networks
Pitch Control by LQR for Fixed Wing Aircraft During Microburst Encounter
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels
New methods to generate massive synthetic networks
"You should probably read this": Hedge Detection in Text
Geometry of Scheduling on Multiple Machines
Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations
A Simple PTAS for Weighted k -means and Sensor Coverage
Modeling Text with Decision Forests using Categorical-Set Splits
Single Gateway Placement in Wireless Mesh Networks
Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata
AI data transparency: an exploration through the lens of AI incidents
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG 2 + Track 3
Separable Approximations and Decomposition Methods for the Augmented Lagrangian
Testing of Detection Tools for AI-Generated Text
Safety Features for a Centralised AGI Project
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training
Extremely Large Full Duplex MIMO for Simultaneous Downlink Communications and Monostatic Sensing at Sub-THz Frequencies
Dataset Distillation in Medical Imaging: A Feasibility Study
Practical and Theoretical Advances in Knowledge Acquisition of Probabilistic Networks
The AliEn system, status and perspectives
Pigeon-SL: Robust Split Learning Framework for Edge Intelligence under Malicious Clients
An Integrated Crosscutting Concern Migration Strategy and its Application to JHotDraw
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy
BERTector: Intrusion Detection Based on Joint-Dataset Learning
Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing
Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM
Multi-tape automata for automatic verification
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
Hebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning
Binsparse: A Specification for Cross-Platform Storage of Sparse Matrices and Tensors
A Survey on Neural Speech Synthesis
Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization
A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems
Quaternion Backpropagation
Super resolution of histopathological frozen sections via deep learning preserving tissue structure
Comprehensive Fuzzy Turing Machines, An Evolution to the Concept of Finite State Machine Control
Common factors in automatic and Sturmian sequences
A Self-Replication Basis for Designing Complex Agents
A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data
Farmer-Bot: An Interactive Bot for Farmers
GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs
Hit by the Data: a visual data analysis regarding the effects of traffic public policies
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration
TREB: a BERT attempt for imputing tabular data imputation
HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting
Cost-sensitive Label Embedding for Multi-label Classification
What is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications
Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
Learning and Querying Fast Generative Models for Reinforcement Learning
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables
Consensus at Competitive Equilibrium: Dynamic Flow of Autonomous Cars in Traffic Networks
A Tight Max-Flow Min-Cut Duality Theorem for Non-Linear Multicommodity Flows
Self Iterative Label Refinement via Robust Unlabeled Learning
Complying with Data Handling Requirements in Cloud Storage Systems
Cogito, Ergo Ludo: An Agent that Learns to Play by Reasoning and Planning
CodeScholar: Growing Idiomatic Code Examples
Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals
Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks
Morning commute in congested urban rail transit system: A macroscopic model for equilibrium distribution of passenger arrivals
Isogeometric-based Asymptotic Analysis on Multi-layered Thin Shells
Simulation and Measurement Based Vehicle-to-Vehicle Channel Characterization: Accuracy and Constraint Analysis
Controlling the degree of caution in statistical inference with the Bayesian and frequentist approaches as opposite extremes
Sub-Structuring Modeling of Large Space Truss Structures for Structure/Control Optimization in Presence of Parametric Uncertainties
On indefinite sums weighted by periodic sequences
Graph-based Knowledge Distillation: A survey and experimental evaluation
Quasi-Newton approaches to Interior Point Methods for quadratic problems
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction
Non-contact hemodynamic imaging reveals the jugular venous pulse waveform
Hyperprojective Hierarchy of QCB 0 -spaces
Unlocking FedNL: Self-Contained Compute-Optimized Implementation
ConvMAE: Masked Convolution Meets Masked Autoencoders
Motiflets - Fast and Accurate Detection of Motifs in Time Series
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand
Reserve Provision from Electric Vehicles: Aggregate Boundaries and Stochastic Model Predictive Control
Vapor Compression Cycle Control for Automotive Air Conditioning Systems with a Linear Parameter Varying Approach
My Home is My Post-Office: Evaluation of a decentralized email architecture on Internet-of-Things low-end device
A Transformer-based Cross-modal Fusion Model with Adversarial Training for VQA Challenge 2021
Faster Projected GAN: Towards Faster Few-Shot Image Generation
Predicting Mergers and Acquisitions: Temporal Dynamic Industry Networks
Three Datatype Defining Rewrite Systems for Datatypes of Integers each extending a Datatype of Naturals
Comparison of Training Methods for Deep Neural Networks
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
Early Detection of Research Trends
A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot Systems
Dynamic Fairness-Aware Spectrum Auction for Enhanced Licensed Shared Access in 6G Networks
TACO: Training-free Sound Prompted Segmentation via Deep Audio-visual CO-factorization
Graph Based Recommendations: From Data Representation to Feature Extraction and Application
Loop Patterns: Extension of Kleene Star Operator for More Expressive Pattern Matching against Arbitrary Data Structures
A Weight Initialization Based on the Linear Product Structure for Neural Networks
Asymptotic Convergence Rate and Statistical Inference for Stochastic Sequential Quadratic Programming
MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection
A Novel Semi-supervised Framework for Call Center Agent Malpractice Detection via Neural Feature Learning
Linear Tabling Strategies and Optimizations
Physics-informed Data-driven Discovery of Constitutive Models with Application to Strain-Rate-sensitive Soft Materials
Field-programmable dynamics in a soft magnetic actuator enabling true random number generation and reservoir computing
Old Techniques for New Join Algorithms: A Case Study in RDF Processing
Decidability of the existential fragment of some infinitely generated trace monoids: an application to ordinals
Stream Verification
Multiplex Graph Networks for Multimodal Brain Network Analysis
Mood Classification of Bangla Songs Based on Lyrics
XWAVE: A Novel Software-Defined Everything Approach for the Manufacturing Industry
On the specification and verification of atomic swap smart contracts
The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences using UK data
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Low-memory Krylov subspace methods for optimal rational matrix function approximation
Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation
Ontological Foundations of State Sovereignty
More Effective Ontology Authoring with Test-Driven Development
The WebStand Project
Multi-level tree based approach for interactive graph visualization with semantic zoom
Linked Open Data Validity - A Technical Report from ISWS 2018
Designing and Building a Three-dimensional Projective Scanner for Smartphones
Generalized convolution quadrature for the fractional integral and fractional diffusion equations
Equivalence of several curves assessing the similarity between probability distributions
An Approximation Algorithm for l\infty-Fitting Robinson Structures to Distances
Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI
TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback
ViPRA: Video Prediction for Robot Actions
Feature Extraction and Prediction for Hand Hygiene Gestures with KNN Algorithm
Verifiable UML Artifact-Centric Business Process Models (Extended Version)
Strong error analysis and first-order convergence of Milstein-type schemes for McKean-Vlasov SDEs with superlinear coefficients
CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs
Prediction of microstructural representativity from a single image
An adaptive, training-free reduced-order model for convection-dominated problems based on hybrid snapshots
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion
DFDNet: Dynamic Frequency-Guided De-Flare Network
A Greedy PDE Router for Blending Neural Operators and Classical Methods
An Orthogonal 16-point Approximate DCT for Image and Video Compression
Design and considerations of ADC0808 as interleaved ADCs
An Adaptive, Disentangled Representation for Multidimensional MRI Reconstruction
Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
LightSeq: A High Performance Inference Library for Sequence Processing and Generation
Leave No Observation Behind: Real-time Correction for VLA Action Chunks
GOC-Ledger: State-based Conflict-Free Replicated Ledger from Grow-Only Counters
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models
FEM for 1D-problems involving the logarithmic Laplacian: error estimates and numerical implementation
Indoor Group Activity Recognition using Multi-Layered HMMs
ABC: Achieving Better Control of Multimodal Embeddings using VLMs
Non-Asymptotic Delay Bounds for (k, l) Fork-Join Systems and Multi-Stage Fork-Join Networks
Performance Evaluation of MU-MIMO Under the Impact of Open Loop Traffic Dynamics
Video object tracking based on YOLOv7 and DeepSORT
General Position Problem of Butterfly Networks
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Robust support vector machines via conic optimization
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
Saliency-guided Emotion Modeling: Predicting Viewer Reactions from Video Stimuli
Generation of Automatic and Realistic Artificial Profiles
Total variation distance between a jump-equation and its Gaussian approximation
A Satisfiability Algorithm for AC$^0$
GateKeeper: Enabling Fast Pre-Alignment in DNA Short Read Mapping with a New Streaming Accelerator Architecture
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
Towards a Better Understanding of Representation Dynamics under TD-learning
Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots
Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era
Online Energy Storage Arbitrage under Imperfect Predictions: A Conformal Risk-Aware Approach
Improving Resource-Efficient Speech Enhancement via Neural Differentiable DSP Vocoder Refinement
On the Design of Ethereum Data Availability Sampling: A Comprehensive Simulation Study
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data