yusuke1997/dblp-id-title huggingface dataset:
AxoNet: an AI-based tool to count retinal ganglion cell axons
Adaptively Pruning Features for Boosted Decision Trees
A Recent Survey of Event Triggered Control of Nonlinear Systems
Temporal Consistency for LLM Reasoning Process Error Identification
SVG360: Multi-View SVG Generation with Geometric and Color Consistency from a Single SVG
Factors that influence the adoption of human-AI collaboration in clinical decision-making
Enhancing the De-identification of Personally Identifiable Information in Educational Data
Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models
Runtime Safety through Adaptive Shielding: From Hidden Parameter Inference to Provable Guarantees
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query
Joint Noncoherent Detection and Channel Decoding for UWB Impulse Radio by Belief Propagation
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
Evaluating Speaker Identity Coding in Self-supervised Models and Humans
Knowledge-Based Paranoia Search in Trick-Taking
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance
On Threshold Routing in a Service System with Highest-Bidder-First and FIFO Services
gzip Predicts Data-dependent Scaling Laws
Perfect Phylogeny Haplotyping is Complete for Logspace
A Design of SDR-based Pseudo-Analog Wireless Video Transmission System
Are screening methods useful in feature selection? An empirical study
Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)
Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso
Algorithmic Semi-algebraic Geometry and Topology -- Recent Progress and Open Problems
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective
Stopping Criterion for Active Learning Based on Error Stability
Learning on non-stationary data with re-weighting
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
Interfacial and bulk switching MoS2 memristors for an all-2D reservoir computing framework
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
Trajectory Prediction & Path Planning for an Object Intercepting UAV with a Mounted Depth Camera
Joint Cell Selection and Resource Allocation Games with Backhaul Constraints
Asynchronous Memory Access Unit for General Purpose Processors
Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems
Adult learners recall and recognition performance and affective feedback when learning from an AI-generated synthetic video
Euler-type methods for Levy-driven McKean-Vlasov SDEs with super-linear coefficients: mean-square error analysis
Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
A Robust Optimization Framework for Flexible Industrial Energy Scheduling: Application to a Cement Plant with Market Participation
Dialect Adaptation and Data Augmentation for Low-Resource ASR: TalTech Systems for the MADASR 2023 Challenge
A DeepLagrangian method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Blockchain security based on cryptography: a review
A differential Lyapunov framework for contraction analysis
Model predictive quantum control: A modular approach for efficient and robust quantum optimal control
Polynomial-time sparse measure recovery
Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA using Coarse-to-Fine Framework
Online Conformal Model Selection for Nonstationary Time Series
Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach for Informed Sampling-Based Planner
High-precision Wasserstein barycenters in polynomial time
The Gender Gap in Science Communication on TikTok and YouTube: How Platform Dynamics Shape the Visibility of Female Science Communicators
A Hybrid ConvNeXt-EfficientNet AI Solution for Precise Falcon Disease Detection
Reg R-CNN: Lesion Detection and Grading under Noisy Labels
IDEA: Augmenting Design Intelligence through Design Space Exploration
Spectral properties of Google matrix of Wikipedia and other networks
Measure the Diversity of Open Source Software Projects' Forks with Fork Entropy
The shape of economics before and after the financial crisis
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Combining Relevance and Magnitude for Resource-Aware DNN Pruning
On the minimum number of inversions to make a digraph k-(arc-)strong
Generating Diverse Audio-Visual 360 Soundscapes for Sound Event Localization and Detection
Multi-scale Frequency Enhancement Network for Blind Image Deblurring
A Uniform Framework for Diagnosis of Discrete-Event Systems with Unreliable Sensors using Linear Temporal Logic
I, F-partitions of Sparse Graphs
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages
A maximum entropy network reconstruction of macroeconomic models
Universal Lossless Data Compression Via Binary Decision Diagrams
Making Decisions with Belief Functions
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR
Purely Bayesian counterfactuals versus Newcomb's paradox
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data
YAP: Tool Support for Deriving Safety Controllers from Hazard Analysis and Risk Assessments
Local Differential Privacy: a tutorial
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks
Multi-view MidiVAE: Fusing Track- and Bar-view Representations for Long Multi-track Symbolic Music Generation
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
Low-Precision Batch-Normalized Activations
From Generation to Consumption: Personalized List Value Estimation for Re-ranking
A Generic Scheme and Properties of Bidirectional Transformations
Agent based Tools for Modeling and Simulation of Self-Organization in Peer-to-Peer, Ad-Hoc and other Complex Networks
Learnability of the output distributions of local quantum circuits
Parallel Batch Dynamic Vertex Coloring in O(log Δ) Amortized Update Time
Layer Specialization Underlying Compositional Reasoning in Transformers
Two-stream Hierarchical Similarity Reasoning for Image-text Matching
Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees
RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
Software systems as complex networks: structure, function, and evolvability of software collaboration graphs
Unsupervised K-modal Styled Content Generation
An orthogonality-preserving approach for eigenvalue problems
Dialog on a canvas with a machine
Extended fractional-order Jeffreys model of viscoelastic hydraulic cylinder
Target-oriented Domain Adaptation for Infrared Image Super-Resolution
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Routing Apps May Deteriorate Stability in Traffic Networks: Oscillating Congestions and Robust Information Design
PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
Beyond Random Split for Assessing Statistical Model Performance
Radially symmetric solutions of the ultra-relativistic Euler equations
FGGS-LiDAR: Ultra-Fast, GPU-Accelerated Simulation from General 3DGS Models to LiDAR
3D seismic data denoising using two-dimensional sparse coding scheme
Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows
Hello Afrika: Speech Commands in Kinyarwanda
Design of mechanical structure and tracking control system for 5 DOF surgical robot
The impact of teaching two courses (electronic curriculum design, multimedia) on the acquisition of electronic content design skills
PonyGE2: Grammatical Evolution in Python
Improving Results on Russian Sentiment Datasets
Statistics and explainability: a fruitful alliance
ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs
Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter
Effective System for Simulating Dust Continuum Observations on Distributed Computing Resources
Model-based Decision Making with Imagination for Autonomous Parking
Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions
Using Bayesian Modelling to Predict Software Incidents
Hierarchical Coarse-grained Approach to the Duration-dependent Spreading Dynamics in Complex Networks
SolEval: Benchmarking Large Language Models for Repository-level Solidity Code Generation
Constrained Counting and Sampling: Bridging the Gap between Theory and Practice
Length of Stay prediction for Hospital Management using Domain Adaptation
Proof-Labeling Schemes: Broadcast, Unicast and In Between
Divide-and-Conquer based Ensemble to Spot Emotions in Speech using MFCC and Random Forest
Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
Data Quality Monitoring through Transfer Learning on Anomaly Detection for the Hadron Calorimeters
Numerical Energy Dissipation for Time-Fractional Phase-Field Equations
CheapSMC: A Framework to Minimize SMC Cost in Cloud
A Text Steganography Method Using Pangram and Image Mediums
A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models
Minimal Ternary Linear Codes from Vectorial Functions
Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
HGACNet: Hierarchical Graph Attention Network for Cross-Modal Point Cloud Completion
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media
3-Phase Recognition Approach to Pseudo 3D Building Generation from 2D Floor Plan
Capturing Opinion Shifts in Deliberative Discourse through Frequency-based Quantum deep learning methods
A Probabilistic Logic Programming Event Calculus
Adaptive Control of an Inverted Pendulum by a Reinforcement Learning-based LQR Method
Large-scale Complex IT Systems
Jalisco's multiclass land cover analysis and classification using a novel lightweight convnet with real-world multispectral and relief data
SATS: Self-Attention Transfer for Continual Semantic Segmentation
Low-cost Stochastic Number Generators for Stochastic Computing
Entropy-Guided Sampling of Flat Modes in Discrete Spaces
Statistics in a Backscatter Eddy Viscosity Turbulence Model
Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS Denied Environments
Effectiveness of Garbage Collection in MIT/GNU Scheme
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs
Probabilistic Belief Embedding for Knowledge Base Completion
Efficient Multichannel Rendezvous Algorithms without Global Channel Enumeration
The Refined Calculus of Inductive Construction: Parametricity and Abstraction
Cybersecurity Entity Alignment via Masked Graph Attention Networks
Learning to Augment Distributions for Out-of-Distribution Detection
Proceedings 8th International Workshop on Developments in Computational Models, DCM 2012, Cambridge, United Kingdom, 17 June 2012
Semantic optical fiber communication system
Meta-learning in healthcare: A survey
Movement-efficient Sensor Deployment in Wireless Sensor Networks with Limited Communication Range
Information Design for Hybrid Work under Infectious Disease Transmission Risk
Investigate The Performance Evaluation of IPTV over WiMAX Networks
Block withholding resilience
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
LemmaHead: RAG Assisted Proof Generation Using Large Language Models
Multi-center decomposition of molecular densities: a mathematical perspective
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval
End-to-end Weakly-supervised Multiple 3D Hand Mesh Reconstruction from Single Image
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems
Attention-Guided Discriminative Region Localization for Bone Age Assessment
AI-driven Orchestration at Scale: Estimating Service Metrics on National-Wide Testbeds
A Step Toward World Models: A Survey on Robotic Manipulation
A Tutorial On Intersectionality in Fair Rankings
A Statistical Method for Non-Linear Quantization in Lossy JPEG2000 Compression
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
Scalable Plug-and-Play ADMM with Convergence Guarantees
Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model
Computing on Masked Data: a High Performance Method for Improving Big Data Veracity
Women also Snowboard: Overcoming Bias in Captioning Models
GitQ- Towards Using Badges as Visual Cues for GitHub Projects
Online Food Delivery to Minimize Maximum Flow Time
Solving Linear System of Equations Via A Convex Hull Algorithm
Self-Disclosure to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions
Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
There is no data like more data - current status of machine learning datasets in remote sensing
Classical and quantum Coxeter codes: Extending the Reed-Muller family
Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM
PINNs and GaLS: An Priori Error Estimates for Shallow Physically Informed Neural Network Applied to Elliptic Problems
Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
Control of synaptic plasticity via the fusion of reinforcement learning and unsupervised learning in neural networks
Visual counterexample explanation for model checking with Oeritte
Flow-based sampling for multimodal distributions in lattice field theory
Upper-Bounding the Capacity of Relay Communications - Part II
SDG Target Interactions: The Philippine Analysis of Indivisible and Cancelling Targets
Sparse PCA via $l_{2, p}$-Norm Regularization for Unsupervised Feature Selection
SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures
Environment-Aware Transfer Reinforcement Learning for Sustainable Beam Selection
Orchestrating Product Provenance Story: When IOTA ECOSYSTEM Meets The Electronics Supply Chain Space
Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images
Dimension Reduction for Origin-Destination Flow Estimation: Blind Estimation Made Possible
Effective classification of ecg signals using enhanced convolutional neural network in iot
The Complexity of SPEs in Mean-payoff Games
PD-ADSV: An Automated Diagnosing System Using Voice Signals and Hard Voting Ensemble Method for Parkinson's Disease
Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers
Modal logic, fundamentally
Weakly Supervised Local Attention Network for Fine-Grained Visual Classification
Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach
Neural Eigenfunctions Are Structured Representation Learners
CWASI: A WebAssembly Runtime Shim for Inter-function Communication in the Serverless Edge-Cloud Continuum
Modeling Battery Electric Vehicle Users' Charging Decisions in Scenarios with Both Time-Related and Distance-Related Anxiety
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
Real-Time Object Detection Meets DINOv3
Some Aspects concerning the Cyber-Physical Systems Approach in Power Systems
nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-shot Multi-speaker Text-to-Speech
Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-bit Quantization
Measurement, Characterization and Modeling of LoRa Technology in Multi-floor Buildings
Thermal states minimize the output entropy of single-mode phase-insensitive Gaussian channels with an input entropy constraint
IPA Transcription of Bengali Texts
Evalverse: Unified and Accessible Library for Large Language Model Evaluation
ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
Approximability and Generalisation
Check-Eval: A Checklist-based Approach for Evaluating Text Quality
UAP-BEV: Uncertainty Aware Planning using Bird's Eye View generated from Surround Monocular Images
Robust 1-Bit Compressed Sensing via Hinge Loss Minimization
Validating IP Prefixes and AS-Paths with Blockchains
Transfer learning method in the problem of binary classification of chest X-rays
Revising the classic computing paradigm and its technological implementations
A Mathematical Framework for the Detection of Elephant Flows
A Retina-Inspired Pathway to Real-Time Motion Prediction inside Image Sensors for Extreme-Edge Intelligence
RvLLM: LLM Runtime Verification with Domain Knowledge
Using Artificial Intelligence Models in System Identification
Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models
Optimising cost-effectiveness of pandemic response under partial intervention measures
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Exploring State-of-the-art models for Early Detection of Forest Fires
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
A Universal Flexible Near-sensor Neuromorphic Tactile System with Multi-threshold strategy for Pressure Characteristic Detection
Community Resilience Optimization Subject to Power Flow Constraints in Cyber-Physical-Social Systems in Power Engineering
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
Massive MIMO with Optimal Power and Training Duration Allocation
Joint Transceiver Optimization for MmWave/THz MU-MIMO ISAC Systems
Computational models of learning and synaptic plasticity
Quantum statistical query learning
Efficient On-the-fly Category Retrieval using ConvNets and GPUs
A Comunication Framework for Compositional Generation
On the Distribution of the Weighted Sum of Chi-Squared Variables
Detecting malicious PDF using CNN
Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model
Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios
VLM-Guided Visual Place Recognition for Planet-Scale Geo-Localization
Using gradient of Lagrangian function to compute efficient channels for the ideal observer
The Essence of Petri Net Gluings
Universal Bayesian Measures and Universal Histogram Sequences
SMaRTT-REPS: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport with Recycled Entropies
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt
Studio e confronto delle strutture di Apache Spark
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Ensemble of Anchor-Free Models for Robust Bangla Document Layout Segmentation
A Dynamic Approach to Rhythm in Language: Toward a Temporal Phonology
BISTA: a Bregmanian proximal gradient method without the global Lipschitz continuity assumption
On Optimality and Human Prediction of Event Duration in Real-Time, Real-World Contexts
A semi-randomized and augmented Kaczmarz method with simple random sampling for large-scale inconsistent linear systems
The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective
A Study on Distributed Strategies for Deep Learning Applications in GPU Clusters
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
Jitter Characterization of the HyTI Satellite
Model Predictive Control for Flexible Joint Robots
Device-independent Randomness Amplification and Privatization
Packing Unequal Circles into a Square Container by Partitioning Narrow Action Spaces and Circle Items
Learning Personalized User Preference from Cold Start in Multi-turn Conversations
Towards a Theory of Cache-Efficient Algorithms
A global Monte-Carlo method for fitting parameters of differential equation models
Remote Sensing to Control Respiratory Viral Diseases Outbreaks using Internet of Vehicles
Progressive Latent Replay for efficient Generative Rehearsal
More on NP Versus P
5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions
Inference Time Feature Injection: A Lightweight Approach for Real-Time Recommendation Freshness
Comparative Analysis of YOLOv5, Faster R-CNN, SSD, and RetinaNet for Motorbike Detection in Kigali Autonomous Driving Context
EfficientSeg: An Efficient Semantic Segmentation Network
INDCOR white paper 3: Interactive Digital Narratives and Interaction
Efficient Image Denoising Using Global and Local Circulant Representation
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
Characterizing State Space Model (SSM) and SSM-Transformer Hybrid Language Model Performance with Long Context Length
Quantum Bicyclic Hyperbolic Codes
StyleT2F: Generating Human Faces from Textual Description Using StyleGAN2
LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead
Efficient Virtual Network Function Placement Strategies for Cloud Radio Access Networks
Dichotomy between deterministic and probabilistic models in countably additive effectus theory
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
A Spatial-Temporal Attention Multi-Graph Convolution Network for Ride-Hailing Demand Prediction Based on Periodicity with Offset
Study of Robust Direction Finding Based on Joint Sparse Representation
A Better Variant of Self-Critical Sequence Training
Auto-calibrating Universal Programmable Photonic Circuits: Hardware Error-Correction and Defect Resilience
Fusing task-oriented and open-domain dialogues in conversational agents
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Delivery Time Reduction for Order-Constrained Applications using Binary Network Codes
In-context Learning for Automated Driving Scenarios
Virtual Reality Wireless Mobile Walkthrough Framework
Efficiently Finding All Maximal $α$-gapped Repeats
Host-Based Allocators for Device Memory
Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks
How ConvNets model Non-linear Transformations
Constraint Model for the Satellite Image Mosaic Selection Problem
Monitoring Targeted Hate in Online Environments
Competitive Learning with Feedforward Supervisory Signal for Pre-trained Multilayered Networks
Understanding Counting in Small Transformers: The Interplay between Attention and Feed-Forward Layers
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
Strong convergence of partial match queries in random quadtrees