yusuke1997/dblp-id-title huggingface dataset:
Spatial Social Network (SSN) Hot Spot Detection: Scan Methods for Non-Planar Networks
Conformal forecasting for surgical instrument trajectory
High-level hybridization of heuristics and metaheuristics to solve symmetric TSP: a comparative study
The Complexity of Verifying Population Protocols
Multilevel Image Thresholding Using a Fully Informed Cuckoo Search Algorithm
Compositional Liveness-Preserving Conformance Testing of Timed I/O Automata - Technical Report
Sub-Connected Hybrid Beamfocusing Design for RSMA-Enabled Near-Field Communications with Imperfect CSI and SIC
HapKnob - A Motorized Shape-changing Haptic Knob Interface
Low rank methods for multiple network alignment
Wireless teleoperation of HSURF artificial fish in complex paths
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
Gistify! Codebase-Level Understanding via Runtime Execution
Switchable Deep Beamformer
On sizes of complete arcs in PG(2,q)
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group
OAEI-LLM-T: A TBox Benchmark Dataset for Understanding LLM Hallucinations in Ontology Matching Systems
Cultural evolution in populations of Large Language Models
Narrative XL: A Large-scale Dataset For Long-Term Memory Models
Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution
Coordinated Fast Frequency Regulation in Dynamic Virtual Power Plants via Disturbance Estimation
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations
Generative data augmentation for biliary tract detection on intraoperative images
Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)
No More Adam: Learning Rate Scaling at Initialization is All You Need
A Visual and Textual Recurrent Neural Network for Sequential Prediction
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction
Dynamic Early Exiting Predictive Coding Neural Networks
A BDF2-Semismooth Newton Algorithm for the Numerical Solution of the Bingham Flow with Temperature Dependent Parameters
Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions
Teaching Leśniewski's Prothetic with a Natural Deduction System
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning
Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation
An architecture for "Web Of Things" using SOCKS protocol based IPv6/IPv4 gatewaying for heterogeneous communication
Putting Instruction Sequences into Effect
A Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
NoiseOut: A Simple Way to Prune Neural Networks
Advances on CNN-based super-resolution of Sentinel-2 images
Real-time error correction and performance aid for MIDI instruments
Max and Coincidence Neurons in Neural Networks
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
Hidden stochastic, quantum and dynamic information of Markov diffusion process and its evaluation by an entropy integral measure under the impulse controls actions, applied to information observer
Vision-Based Proprioceptive Sensing for Soft Inflatable Actuators
Studying Popular Open Source Machine Learning Libraries and Their Cross-Ecosystem Bindings
Incentive Non-Compatibility of Optimistic Rollups
Joint user association and power allocation in ultra-dense mmWave networks: a multi-connectivity approach
Elements of Trust in Named-Data Networking
On the swap-distances of different realizations of a graphical degree sequence
Hierarchical H2 Control of Large-Scale Network Dynamic Systems
Adaptive Template Enhancement for Improved Person Recognition using Small Datasets
Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations
Location-Aware Self-Supervised Transformers
A Typology to Explore and Guide Explanatory Interactive Machine Learning
Online Learning Models for Content Popularity Prediction In Wireless Edge Caching
Ensuring accurate stain reproduction in deep generative networks for virtual immunohistochemistry
Hybrid 3D Human Pose Estimation with Monocular Video and Sparse IMUs
Bots don't Vote, but They Surely Bother! A Study of Anomalous Accounts in a National Referendum
"Closed Proportional-Integral-Derivative-Loop Model" Following Control
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits
Deep Bayesian Inversion
Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN
A decentralized approach towards secure firmware updates and testing over commercial IoT Devices
When to Impute? Imputation before and during cross-validation
A Deontic Logic Analysis of Autonomous Systems' Safety
Scheduling Kalman Filters in Continuous Time
BM25 Query Augmentation Learned End-to-End
Integration of Flexible Web Based GUI in I-SOAS
Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction
Analysis of Moral Judgement on Reddit
ARGS: Advanced Regularization on Aligning Gaussians over the Surface
Analysis and representation of Igbo text document for a text-based system
Private Synthetic Data Meets Ensemble Learning
Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems
Mining counterexamples for wide-signature algebras with an Isabelle server
Motion-Focused Contrastive Learning of Video Representations
Query Inseparability for ALC Ontologies
STEREOFOG - Computational DeFogging via Image-to-Image Translation on a real-world Dataset
Approximating Attributed Incentive Salience In Large Scale Scenarios. A Representation Learning Approach Based on Artificial Neural Networks
Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis
Photo2Relief: Let Human in the Photograph Stand Out
Explaining robust additive utility models by sequences of preference swaps
Elucidating Interfacial Dynamics of Ti-Al Systems Using Molecular Dynamics Simulation and Markov State Modeling
LLM-driven Provenance Forensics for Threat Investigation and Detection
Inverse matroid optimization under subset constraints
Deeply Integrating C11 Code Support into Isabelle/PIDE
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models
TALE: A Tool-Augmented Framework for Reference-Free Evaluation of Large Language Models
Quantum Information Science and Nanotechnology
Approach to solve P versus NP with Circular Founded Set
The Development of the Journal Environment of Leonardo
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
Minimum Input Design for Direct Data-driven Property Identification of Unknown Linear Systems
An Immersed Weak Galerkin Method for Elliptic Interface Problems on Polygonal Meshes
A Propound Method for the Improvement of Cluster Quality
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries
A Sparse Expansion For Deep Gaussian Processes
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale
Probabilistic Argumentation. An Equational Approach
How does HCI Understand Human Autonomy and Agency?
Maximum Likelihood Methods for Inverse Learning of Optimal Controllers
Combining Ensembles and Data Augmentation can Harm your Calibration
An iterative method for solving elliptic Cauchy problems
Per-sender neural network classifiers for email authorship validation
Boosted Embeddings for Time Series Forecasting
Strategic learning for disturbance rejection in multi-agent systems: Nash and Minmax in graphical games
TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning
Data Generation for Learning to Grasp in a Bin-picking Scenario
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment
Developing Compelling Safety Cases
Edge Detection Quantumized: A Novel Quantum Algorithm For Image Processing
ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
A Region-Dependent Gain Condition for Asymptotic Stability
Uncovering mesa-optimization algorithms in Transformers
Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendations
Steganographic Routing in Multi Agent System Environment
The Crossover Process: Learnability meets Protection from Inference Attacks
Open Problems in Robotic Anomaly Detection
Interference in OFDM Systems and Networks
A Linear Algebraic Approach to Datalog Evaluation
Improving the Usability of Privacy Settings in Facebook
AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven Framework
To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
Stochastic Stackelberg games
A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms
Leveraging Association Rules for Better Predictions and Better Explanations
Exploring Singularities in point clouds with the graph Laplacian: An explicit approach
Disentangle VAE for Molecular Generation
Leo: Lagrange Elementary Optimization
Zero-Shot Complex Question-Answering on Long Scientific Documents
ChordFormer: A Conformer-Based Architecture for Large-Vocabulary Audio Chord Recognition
Capacity Bounds for Peak-Constrained Multiantenna Wideband Channels
OTJR: Optimal Transport Meets Optimal Jacobian Regularization for Adversarial Robustness
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
Smart ROI Detection for Alzheimer's disease prediction using explainable AI
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
Data engineering for archive evolution
Self-Adapting Variable Impedance Actuator Control for Precision and Dynamic Tasks
Progressive Transformation Learning For Leveraging Virtual Images in Training
Using phase instead of optical flow for action recognition
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
Investigating the Role of Renewable Energies in Integrated Energy-water Nexus Planning under Uncertainty Using Fuzzy Logic
GoFFish: A Sub-Graph Centric Framework for Large-Scale Graph Analytics
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching
Smartphone-based user positioning in a multiple-user context with Wi-Fi and Bluetooth
Comparison of adaptive mesh refinement techniques for numerical weather prediction
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
Hyperspectral Reconstruction of Skin Through Fusion of Scattering Transform Features
Towards Distributed Neural Architectures
On the privacy-utility trade-off in differentially private hierarchical text classification
QuDASH: Quantum-inspired rate adaptation approach for DASH video streaming
One Stop Career Centre for People with Disabilities
Multidimensional Balanced Allocation for Multiple Choice & (1 + Beta) Processes
An Automated Question-Answering Framework Based on Evolution Algorithm
Too Trivial To Test? An Inverse View on Defect Prediction to Identify Methods with Low Fault Risk
XBG: End-to-end Imitation Learning for Autonomous Behaviour in Human-Robot Interaction and Collaboration
3D Universal Lesion Detection and Tagging in CT with Self-Training
InfoFlow: Reinforcing Search Agent Via Reward Density Optimization
When unlearning is free: leveraging low influence points to reduce computational costs
Design of an Open-Source Architecture for Neural Machine Translation
AMOR: Ambiguous Authorship Order
Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms
Continual Learning from the Perspective of Compression
Geometric instability of graph neural networks on large graphs
Deep Models with Fusion Strategies for MVP Point Cloud Registration
The modular technology of development of the CAD expansions: protection of the buildings from the lightning
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
The Generative AI Ethics Playbook
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction
WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation
Projection-Free Algorithms in Statistical Estimation
Analyzing Adversarial Inputs in Deep Reinforcement Learning
Deep Quantile Aggregation
Control Analysis of Packet Transmission Algorithms: Study on Fairness and Stability
Are Large Language Models In-Context Graph Learners?
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs)
Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators
Bridging Vision and Language from the Video-to-Text Perspective: A Comprehensive Review
A Digitalization Framework for Smart Maintenance of Historic Buildings
Prompt Injection Attacks in Defended Systems
Generalized generalized linear models: Convex estimation and online bounds
Distortion of Multi-Winner Elections on the Line Metric: The Polar Comparison Rule
Analysis of the Arabic Broken Plural and Diminutive
KB4VA: A Knowledge Base of Visualization Designs for Visual Analytics
Convergence of SARSA with linear function approximation: The random horizon case
Insights from the Future for Continual Learning
VibrantLeaves: A principled parametric image generator for training deep restoration models
Improving generation quality of pointer networks via guided attention
Crowdsourcing Relative Rankings of Multi-Word Expressions: Experts versus Non-Experts
Random large eddy simulation for 3-dimensional incompressible viscous flows
Text-based LSTM networks for Automatic Music Composition
Finding Stable Subnetworks at Initialization with Dataset Distillation
The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions
Gesture Classification in Artworks Using Contextual Image Features
Appropriation, coloniality, and digital technologies. Observations from within an African place
Good Distance Lattices from High Dimensional Expanders
IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
Does Physics Knowledge Emerge in Frontier Models?
Analyzing and Mitigating the Impacts of GMD and EMP Events on the Electrical Grid with PowerModelsGMD.jl
Discontinuous Galerkin time stepping methods for second order hyperbolic problems
Blind Spectrum Sensing in Cognitive Radio over Fading Channels and Frequency Offsets
On the Positivity of the Discrete Green's Function for Unstructured Finite Element Discretizations in Three Dimensions
Computing the Hermite Form of a Matrix of Ore Polynomials
Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
Asynchronous Diffusion of Data on Networked Lattices
Optimality Of Community Structure In Complex Networks
Resource Allocation in Heterogenous Full-duplex OFDMA Networks: Design and Analysis
Dynamic Adaptation on Non-Stationary Visual Domains
A Novel Index Coding Scheme and its Application to Coded Caching
Diffusion-Aided Bandwidth-Efficient Semantic Communication with Adaptive Requests
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification
Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space
Optimal, Truthful, and Private Securities Lending
AstroReview: An LLM-driven Multi-Agent Framework for Telescope Proposal Peer Review and Refinement
Mem4Nav: Boosting Vision-and-Language Navigation in Urban Environments with a Hierarchical Spatial-Cognition Long-Short Memory System
Using Program Induction to Interpret Transition System Dynamics
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language
Contrasting the efficiency of stock price prediction models using various types of LSTM models aided with sentiment analysis
Stochasticity in pandemic spread over the World Airline Network explained by local flight connections
Dynamic Channel Allocation for Class-Based QoS Provisioning and Call Admission in Visible Light Communication
Effective Targeted Testing of Smart Contracts
Modeling of a piezoelectric micro-scanner
"Mm, Wat?" Detecting Other-initiated Repair Requests in Dialogue
Effect of Selection Format on LLM Performance
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification
Mind the Gap: Subspace based Hierarchical Domain Adaptation
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction
Quantifying and Enabling the Interpretability of CLIP-like Models
SafeGen: Mitigating Unsafe Content Generation in Text-to-Image Models
The Comparison of Methods for Individual Treatment Effect Detection
On models of a nondeterministic computation
PSO-embedded adaptive Kriging surrogate model method for structural reliability analysis with small failure probability
Information and communication technology initiatives for knowledge sharing in agriculture
On Calibration of Modern Quantized Efficient Neural Networks
Jamming Resistant Receivers for Massive MIMO
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning
Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels
Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering
Computing Approximated Fixpoints via Dampened Mann Iteration
Design of chemical recycling processes for PUR foam under uncertainty
Unsupervised Non-Rigid Point Cloud Matching through Large Vision Models
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation
DHOG: Deep Hierarchical Object Grouping
Object Recognition with Human in the Loop Intelligent Frameworks
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain
Ensoul: A framework for the creation of self organizing intelligent ultra low power systems (SOULS) through evolutionary enerstatic networks
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention
Bayesian Approach with Extended Support Estimation for Sparse Regression
The Carbon Copy onto Dirty Paper Channel with Statistically Equivalent States
Change in Conceptual Modeling and Systems Reconfiguration
Improved Financial Forecasting via Quantum Machine Learning
Path sampling of recurrent neural networks by incorporating known physics
Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening
Convergence of a double step scheme for a class of second order Clarke subdifferential inclusions
All-optical Reservoir Computing
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
PyZoBot: A Platform for Conversational Information Extraction and Synthesis from Curated Zotero Reference Libraries through Advanced Retrieval-Augmented Generation
Temporal interference stimulation for deep brain neuromodulation in humans
Hazard Detection in Supermarkets using Deep Learning on the Edge
Constructing Driver Hamiltonians for Several Linear Constraints
Convergence of a New Learning Algorithm
Attack and Defense of Deep Learning Models in the Field of Web Attack Detection
I know why you like this movie: Interpretable Efficient Multimodal Recommender
Optimization of utility-based shortfall risk: A non-asymptotic viewpoint
IcoRating: A Deep-Learning System for Scam ICO Identification
Fully Convolutional Online Tracking
The VGG Image Annotator (VIA)
An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems
On Storage Allocation in Cache-Enabled Interference Channels with Mixed CSIT
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Non-Invasive Qualitative Vibration Analysis using Event Camera
Dynamic Precision Analog Computing for Neural Networks
A Dual-stage Prompt-driven Privacy-preserving Paradigm for Person Re-Identification
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
K 4 : Online Log Anomaly Detection Via Unsupervised Typicality Learning
MemGEN: Memory is All You Need
The Power of The Hybrid Model for Mean Estimation
Providing Hints, Next Steps and Feedback in a Tutoring System for Structural Induction
Fine-Grained Image Captioning with Global-Local Discriminative Objective
MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL
Communication with Disturbance Constraints
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
DexDiff: Towards Extrinsic Dexterity Manipulation of Ungraspable Objects in Unrestricted Environments
Quantifying the multi-scale and multi-resource impacts of large-scale adoption of renewable energy sources
Development of Data Evaluation Benchmark for Data Wrangling Recommendation System
No-Wait Flowshop Scheduling is as Hard as Asymmetric Traveling Salesman Problem
Learning Data-Driven PCHD Models for Control Engineering Applications
Approximative Covariance Interpolation
Mining Frequent Neighborhood Patterns in Large Labeled Graphs
Protecting Small Organizations from AI Bots with Logrip: Hierarchical IP Hashing
A Generalized Framework for Predictive Clustering and Optimization
A Supervised Learning Approach for Robust Health Monitoring using Face Videos
Concentric Symmetry
Two-Person Additively-Separable Sum Games
Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption
Covariate conscious approach for Gait recognition based upon Zernike moment invariants
Communication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals with Experiments
Keep the beat going: Automatic drum transcription with momentum
Game Agent Driven by Free-Form Text Command: Using LLM-based Code Generation and Behavior Branch
A finite presentation of graphs of treewidth at most three
A Comparative Audit of Privacy Policies from Healthcare Organizations in USA, UK and India
A 1D-0D-3D coupled model for simulating blood flow and transport processes in breast tissue
Mean-Field-Type Game Theory with Rosenblatt Noise
External-memory dictionaries with worst-case update cost
Rethinking and Designing a High-performing Automatic License Plate Recognition Approach
Automated Facility Enumeration for Building Compliance Checking using Door Detection and Large Language Models
What Does This Notation Mean Anyway?
120 GOPS Photonic Tensor Core in Thin-film Lithium Niobate for Inference and in-situ Training,
FeFET-based MirrorBit cell for High-density NVM storage
Performance bounds for Reduced Order Models with Application to Parametric Transport
Generative Preprocessing for Image Compression with Pre-trained Diffusion Models
An energy-stable parametric finite element method for the planar Willmore flow
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
A Generative Adversarial Network-based Method for LiDAR-Assisted Radar Image Enhancement
A Stochastic Precipitating Quasi-Geostrophic Model
Machine Learning as Ecology
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks