yusuke1997/dblp-id-title huggingface dataset:
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation
A Survey on Graph-Based Deep Learning for Computational Histopathology
JUMPER: Learning When to Make Classification Decisions in Reading
Splitting schemes for hyperbolic heat conduction equation
Thingi10K: A Dataset of 10, 000 3D-Printing Models
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data
Mobile Robotic Multi-View Photometric Stereo
The LASSO risk for gaussian matrices
MegaMath: Pushing the Limits of Open Math Corpora
Integrating Traditional CS Class Activities with Computing for Social Good, Ethics, and Communication and Leadership Skills
Emergence of psychopathological computations in large language models
FIND: Fine-grained Information Density Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis
NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems
Implications of the Convergence of Language and Vision Model Geometries
Graph-indexed random walks on special classes of graphs
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks
Collaborative Knowledge Infusion for Low-resource Stance Detection
MIFO: Learning and Synthesizing Multi-Instance from One Image
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data
A packet-based dual-rate PID control strategy for a slow-rate sensing Networked Control System
Realizing Quantum Wireless Sensing Without Extra Reference Sources: Architecture, Algorithm, and Sensitivity Maximization
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
Bounded Invariant Checking for Stateflow Programs
Two-Layer Voronoi Coverage Control for Hybrid Aerial-Ground Robot Teams in Emergency Response: Implementation and Analysis
The CHRONIOUS Ontology-Driven Search Tool: Enabling Access to Focused and Up-to-Date Healthcare Literature
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
Quality-aware News Recommendation
Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural Operators
TaskSense: Cognitive Chain Modeling and Difficulty Estimation for GUI Tasks
Imaging foundation model for universal enhancement of non-ideal measurement CT
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data
Image Restoration Learning via Noisy Supervision in the Fourier Domain
Handling Noisy Labels via One-Step Abductive Multi-Target Learning
TENDE: Transfer Entropy Neural Diffusion Estimation
Mining Limited Data Sufficiently: A BERT-inspired Approach for CSI Time Series Application in Wireless Communication and Sensing
Grassmanian packings: Trust region stochastic tuning for matrix incoherence
An Efficient Consolidation of Word Embedding and Deep Learning Techniques for Classifying Anticancer Peptides: FastText+BiLSTM
Highly Scalable Maximum Likelihood and Conjugate Bayesian Inference for ERGMs on Graph Sets with Equivalent Vertices
A Concrete Representation of Observational Equivalence for PCF
Individually Fair Ranking
Sentiment analysis for Arabic language: A brief survey of approaches and techniques
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning
Three-Stage Speaker Verification Architecture in Emotional Talking Environments
Solving nonlinear Klein-Gordon equations on unbounded domains via the Finite Element Method
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
A parallel algorithm for automated labeling of large time series
Linear Transceiver Optimization in Multicell MIMO Based on the Generalized Benders Decomposition
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation
Parameter robust preconditioning by congruence for multiple-network poroelasticity
Energy Efficient Control of an Induction Machine under Load Torque Step Change
Generative AI models enable efficient and physically consistent sea-ice simulations
A Pluggable Learned Index Method via Sampling and Gap Insertion
Precise n-gram Probabilities from Stochastic Context-free Grammars
Rencontre improbable entre von Foerster et Snowden
KLIPA: A Knowledge Graph and LLM-Driven QA Framework for IP Analysis
Compressed sensing and designs: theory and simulations
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies
YOCO: You Only Calibrate Once for Accurate Extrinsic Parameter in LiDAR-Camera Systems
Answering queries using pairings
Leaking Uninitialized Secure Enclave Memory via Structure Padding (Extended Abstract)
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
Analyzing Games with Ambiguous Player Types using the MINthenMAX Decision Model
A Transformer-based deep neural network model for SSVEP classification
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
Sentimental Content Analysis and Knowledge Extraction from News Articles
AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
Riddim: A Rhythm Analysis and Decomposition Tool Based On Independent Subspace Analysis
Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos
Physics-informed UNets for Discovering Hidden Elasticity in Heterogeneous Materials
Security of Virtual Reality Authentication Methods in Metaverse: An Overview
PSF field learning based on Optimal Transport Distances
Making Them a Malicious Database: Exploiting Query Code to Jailbreak Aligned Large Language Models
Data Transmissions in Blockchain enabled AGVs
Two-branch Recurrent Network for Isolating Deepfakes in Videos
A Survey of Privacy Infrastructures and Their Vulnerabilities
Off-the-grid data-driven optimization of sampling schemes in MRI
Computability of the entropy of one-tape Turing Machines
A Dynamic Simulation-Optimization Model for Adaptive Management of Urban Water Distribution System Contamination Threats
Beyond synchronization: Body gestures and gaze direction in duo performance
Sparse and Dense Approaches for the Full-rank Retrieval of Responses for Dialogues
A Reinforcement Learning Approach for Robotic Unloading from Visual Observations
Beyond Static Cutoffs: One-Shot Dynamic Thresholding for Diffusion Language Models
Combinatorial alphabet-dependent bounds for insdel codes
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks
Blending margins
Awesome-OL: An Extensible Toolkit for Online Learning
Transformer-based Koopman Autoencoder for Linearizing Fisher's Equation
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer Learning
Online t-SNE for single-cell RNA-seq
Resource Management for IRS-assisted WP-MEC Networks with Practical Phase Shift Model
CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem
Universal Algorithms: Beyond the Simplex
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models
Robust Control of An Aerial Manipulator Based on A Variable Inertia Parameters Model
Decentralized Blockchain for Privacy-Preserving Large-Scale Contact Tracing
Finite-time Lyapunov exponents of deep neural networks
Informing The Future of Data Protection in Smart Homes
Adversarial Reinforcement Learning for Large Language Model Agent Safety
Robust Secure UAV Communications with the Aid of Reconfigurable Intelligent Surfaces
Unsupervised vs. transfer learning for multimodal one-shot matching of speech and images
Harnessing the Power of Large Language Models for Software Testing Education: A Focus on ISTQB Syllabus
Direction-Aware Diagonal Autoregressive Image Generation
Toward a Secure Crowdsourced Location Tracking System
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
Data Augmentation based Consistency Contrastive Pre-training for Automatic Speech Recognition
Differentially Private Rankings via Outranking Methods and Performance Data Aggregation
Towards Open-Set Semantic Segmentation of Aerial Images
SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild
LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices
Enabling Nonlinear Manifold Projection Reduced-Order Models by Extending Convolutional Neural Networks to Unstructured Data
Building Resilience in Cybersecurity - An Artificial Lab Approach
Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)
Efficient Gender Debiasing of Pre-trained Indic Language Models
Adaptive Set-Membership Reduced-Rank Least Squares Beamforming Algorithms
Fast GPGPU Data Rearrangement Kernels using CUDA
Contrastive Positive Sample Propagation along the Audio-Visual Event Line
The Rise and Fall(?) of Software Engineering
Nonregularity via Ordinal Extensions
Web Page Categorization Using Artificial Neural Networks
Assessing Consciousness-Related Behaviors in Large Language Models Using the Maze Test
Sorted Range Reporting Revisited
Automatic Description Construction for Math Expression via Topic Relation Graph
Physical Unclonable Function (PUF) Based Random Number Generator
An Appearance Defect Detection Method for Cigarettes Based on C-CenterNet
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
Low-rank Random Tensor for Bilinear Pooling
Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology
On the Flexibility Potential of a Swiss Distribution Grid: Opportunities and Limitations
Towards the Structure and Mechanisms of Complex Systems, the Approach of the Quantitative Theory of Meaning
Interval Arithmetic and Interval-Aware Operators for Genetic Programming
Airport Gate Assignment A Hybrid Model and Implementation
Free Agent in Agent-Based Mixture-of-Experts Generative AI Framework
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning
Perceived Fairness of the Machine Learning Development Process: Concept Scale Development
Efficient detection of contagious outbreaks in massive metropolitan encounter networks
Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding
Knee Point Identification Based on Trade-Off Utility
Uniform Poincaré inequalities for the discrete de Rham complex of differential forms
A Novel Bistatic Joint Radar-Communication System in Multi-path Environments
A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief
Mathematical Cookbook for Snapshot Compressive Imaging
EikoNet: Solving the Eikonal equation with Deep Neural Networks
Speech Recognition for Analysis of Police Radio Communication
Towards Exploratory Reformulation of Constraint Models
Neural Sequence Model Training via $α$-divergence Minimization
MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image Classification
How Do AI Timelines Affect Existential Risk?
Enhancing Egocentric Object Detection in Static Environments using Graph-based Spatial Anomaly Detection and Correction
On-board monitoring of 2-D spatially-resolved temperatures in cylindrical lithium-ion batteries: Part II. State estimation via impedance-based temperature sensing
Drantal-NeRF: Diffusion-Based Restoration for Anti-aliasing Neural Radiance Field
From What to How: A Taxonomy of Formalized Security Properties
Universal Numeric Segmented Display
Performance Analysis of Self-Interference Cancellation in Full-Duplex Massive MIMO Systems: Subtraction versus Spatial Suppression
FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Post-Brexit power of European Union from the world trade network analysis
Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning
Estimating Fire Weather Indices via Semantic Reasoning over Wireless Sensor Network Data Streams
A model free approach for continuous-time optimal tracking control with unknown user-define cost and constrained control input via advantage function
Universal and Robust Distributed Network Codes
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
Deep Neural Networks Inspired by Differential Equations
A Unified Approach for Optimal Cruise Airspeed with Variable Cost Index for Fuel-powered and All-electric Aircraft
On the Stability of the Jacobian Matrix in Deep Neural Networks
Can message-passing GNN approximate triangular factorizations of sparse matrices?
GoRA: Gradient-driven Adaptive Low Rank Adaptation
Quantum Honest Byzantine Agreement as a Distributed Quantum Algorithm
Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization
A Algorithm for the Hamilton Circuit Problem
An improved approximation algorithm for k-Median
Energy-Time Optimal Control of Wheeled Mobile Robots
Explainability of Text Processing and Retrieval Methods: A Critical Survey
Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor Terrains
Beyond Tools: Understanding How Heavy Users Integrate LLMs into Everyday Tasks and Decision-Making
Finite element method. Detailed proofs to be formalized in Coq
Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Models
Semi-Supervised Multi-View Crowd Counting by Ranking Multi-View Fusion Models
Certifying the restricted isometry property is hard
Ultra8T: A Sub-Threshold 8T SRAM with Leakage Detection
DCHT: Deep Complex Hybrid Transformer for Speech Enhancement
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection
Short formulas for algebraic covariant derivative curvature tensors via Algebraic Combinatorics
Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions
SemClinBr - a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks
You Only Need Half: Boosting Data Augmentation by Using Partial Content
RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement Learning
A Survey on Poisoning Attacks Against Supervised Machine Learning
Towards Automated Augmentation and Instrumentation of Legacy Cryptographic Executables: Extended Version
AIAuditTrack: A Framework for AI Security system
The dilemma of quantum neural networks
ERF: Explicit Radiance Field Reconstruction From Scratch
Efficient Training of Sparse Autoencoders for Large Language Models via Layer Groups
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Nonlinear MPC for Feedback-Interconnected Systems: a Suboptimal and Reduced-Order Model Approach
Speak Your Mind: The Speech Continuation Task as a Probe of Voice-Based Model Bias
DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs
Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts
Algebraic Control: Complete Stable Inversion with Necessary and Sufficient Conditions
The impact of random actions on opinion dynamics
Accelerating Multi-Model Inference by Merging DNNs of Different Weights
A French Version of the OLDI Seed Corpus
An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models
Follow the Water: Finding Water, Snow and Clouds on Terrestrial Exoplanets with Photometry and Machine Learning
Link Prediction Accuracy on Real-World Networks Under Non-Uniform Missing Edge Patterns
Quickest change detection for UAV-based sensing
Effect on normalized graph Laplacian spectrum by motif joining and duplication
Two Dimensions for Organizing Immersive Analytics: Toward a Taxonomy for Facet and Position
A Maturity Model for Public Administration as Open Translation Data Providers
Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space models
Edge-Cloud Routing for Text-to-Image Model with Token-Level Multi-Metric Prediction
The Reasonable Effectiveness of Speaker Embeddings for Violence Detection
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving
Pixyz: a library for developing deep generative models
FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments
Edge-Of-Chaos Learning Achieved by Ion-Electron Coupled Dynamics in an Ion-Gating Reservoir
FlowMesher: An automatic unstructured mesh generation algorithm with applications from finite element analysis to medical simulations
Intermittently Failing Tests in the Embedded Systems Domain
AMP-based Joint Activity Detection and Channel Estimation for Massive Grant-Free Access in OFDM-based Wideband Systems
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing
Analysis of a Modern Voice Morphing Approach using Gaussian Mixture Models for Laryngectomees
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks
Efficient and adaptive parameterized algorithms on modular decompositions
The Design and Implementation of a Verified File System with End-to-End Data Integrity
On the Efficacy of Text-Based Input Modalities for Action Anticipation
Commit Messages in the Age of Large Language Models
Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations
Learning Treatment Plan Representations for Content Based Image Retrieval
Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints
Exploring Plural Perspectives in Self-Tracking Technologies: Trust and Reflection in Self Tracking Practices
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism
Characterizing the Role of Complex Power in Small-Signal Synchronization Stability of Multi-Converter Power Systems
Location-Based Events Detection on Micro-Blogs
Efficient multigrid reduction-in-time for method-of-lines discretizations of linear advection
Electrical Behavior Association Mining for Household ShortTerm Energy Consumption Forecasting
Performance Analysis of a Cooperative Wireless Network with Adaptive Relays: A Network-Level Study
Artificial Noisy MIMO Systems under Correlated Scattering Rayleigh Fading - A Physical Layer Security Approach
Extending the Hegselmann-Krause Model of Opinion Dynamics to include AI Oracles
Using learned optimizers to make models robust to input noise
Explainability in Machine Learning: a Pedagogical Perspective
Thermal Face Image Classification using Deep Learning Techniques
Learning Compositional Representation for Few-shot Visual Question Answering
Sparse Curriculum Reinforcement Learning for End-to-End Driving
Towards A Theory of Duality for Graph Signal Processing
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering
Cloud Radio Access Networks: Uplink Channel Estimation and Downlink Precoding
Bringing PDEs to JAX with forward and reverse modes automatic differentiation
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis
Predict Future Sales using Ensembled Random Forests
A Multi-Stage Fine-Tuning and Ensembling Strategy for Pancreatic Tumor Segmentation in Diagnostic and Therapeutic MRI
Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism
Real-time Fuel Leakage Detection via Online Change Point Detection
A Discipline of Programming with Quantities
Identification of Critical Clusters in Inverter-based Microgrids
ExtendedHyperLogLog: Analysis of a new Cardinality Estimator
A Study of Energy Trading in a Low-Voltage Network: Centralised and Distributed Approaches
Mixed Voltage Angle and Frequency Droop Control for Transient Stability of Interconnected Microgrids
OVO-SLAM: Open-Vocabulary Online Simultaneous Localization and Mapping
Deviation Ratings: A General, Clone-Invariant Rating Method
Estimation of COVID-19 under-reporting in Brazilian States through SARI
A Multi-Objective Approach for Sustainable Generative Audio Models
A Meta-Analysis on the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Evaluating LLMs Effectiveness in Detecting and Correcting Test Smells: An Empirical Study
Reinforcement Learning Fine-Tunes a Sparse Subnetwork in Large Language Models
Error analysis for finite element approximations to the parabolic optimal control problem with measure data in a nonconvex polygon
DarSIA: An open-source Python toolbox for two-scale image processing of dynamics in porous media
Finite element method coupled with multiscale finite element method for the non-stationary Stokes-Darcy model
CMFDNet: Cross-Mamba and Feature Discovery Network for Polyp Segmentation
An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19
Optimal Direct-Connect Topologies for Collective Communications
Learning Efficient Video Representation with Video Shuffle Networks
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval
Face Recognition in Low Quality Images: A Survey
Saguaro: Efficient Processing of Transactions in Wide Area Networks using a Hierarchical Permissioned Blockchain
A Deep Material Network for Multiscale Topology Learning and Accelerated Nonlinear Modeling of Heterogeneous Materials
Checking Zenon Modulo Proofs in Dedukti
Approximate Gaussianity Beyond Initialisation in Neural Networks
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
Low-Rank Matrix Approximation for Neural Network Compression
"Feeling that I was Collaborating with Them": A 20 years Systematic Literature Review of Social Virtual Reality Leveraging Collaboration
Spatio-temporal Learning with Arrays of Analog Nanosynapses
Generation of Synthetic Images for Pedestrian Detection Using a Sequence of GANs
Proportional Selection in Networks
Complex-valued Adaptive System Identification via Low-Rank Tensor Decomposition
Contrastive Learning for Cross-modal Artist Retrieval
Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges
Unified Representation Space for 3D Visual Grounding
Generalizing Random Fourier Features via Generalized Measures
SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection
Machine learning in acoustics: a review
Social and Spatial Clustering of People at Humanity's Largest Gathering
Getafix: Learning to fix bugs automatically
Ambisonics Networks - The Effect Of Radial Functions Regularization
Combined Stochastic Optimization of Frequency Control and Self-Consumption with a Battery
Face Super-Resolution Through Wasserstein GANs
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification
OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks
User-Centered Design (IX): A "User Experience 3.0" Paradigm Framework in the Intelligence Era
Towards A Category-extended Object Detector without Relabeling or Conflicts
Tractable Responsibility Measures for Ontology-Mediated Query Answering