yusuke1997/dblp-id-title huggingface dataset:
HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Images
Dota 2 with Large Scale Deep Reinforcement Learning
Experiments with Neural Networks for Small and Large Scale Authorship Verification
Sparse Probability of Agreement
Foundation models may exhibit staged progression in novel CBRN threat disclosure
DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection
CapExec: Towards Transparently-Sandboxed Services (Extended Version)
To NACK or not to NACK? Negative Acknowledgments in Information-Centric Networking
Categorical interpretations of some key agreement protocols
A Survey of Deep Learning Models for Structural Code Understanding
SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling
Scalable Inference for Nested Chinese Restaurant Process Topic Models
A Survey of High Level Frameworks in Block-Structured Adaptive Mesh Refinement Packages
A Two-dimensional Zero-shot Dialogue State Tracking Evaluation Method using GPT-4
Non-Sequential Theory of Distributed Systems
Forecasting of COVID-19 Cases, Using an Evolutionary Neural Architecture Search Approach
Velocity-vorticity-pressure mixed formulation for the Kelvin-Voigt-Brinkman-Forchheimer equations
Parameter Tuning for Self-optimizing Software at Scale
Scaling Laws for Downstream Task Performance of Large Language Models
Fact Check: Analyzing Financial Events from Multilingual News Sources
Further advantages of data augmentation on convolutional neural networks
Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training
Self-Supervised Learning of Audio-Visual Objects from Video
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
Automatic Segmentation of the Spinal Cord Nerve Rootlets
Restricted deterministic Watson-Crick automata
Demonstration of effective UCB-based routing in skill-based queues on real-world data
Confidence-Aware Learning for Camouflaged Object Detection
Class-Conditional Distribution Balancing for Group Robust Classification
Measuring audio prompt adherence with distribution-based embedding distances
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
An Intelligent System For Effective Forest Fire Detection Using Spatial Data
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following
Image Steganography based on a Parameterized Canny Edge Detection Algorithm
DROJ: A Prompt-Driven Attack against Large Language Models
UPB @ ACTI: Detecting Conspiracies using fine tuned Sentence Transformers
Speech Synthesis using EEG
Approximation Algorithm for Sparsest k-Partitioning
A review of Recent Techniques for Person Re-Identification
Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers
A Nonlinear Generalization of the Bauer-Fike Theorem and Novel Iterative Methods for Solving Nonlinear Eigenvalue Problems
Mechanistic Interpretability of Socio-Political Frames in Language Models
Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education
AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives
Enhanced Robot Planning and Perception through Environment Prediction
FIN: Fast Inference Network for Map Segmentation
Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation
Structure and complexity of ex post efficient random assignments
DSIC: Deep Learning based Self-Interference Cancellation for In-Band Full Duplex Wireless
Time Series Foundation Models for Multivariate Financial Time Series Forecasting
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence
Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling
Phase noise in communication systems: from measures to models
Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery
Multitask-Based Joint Learning Approach To Robust ASR For Radio Communication Speech
Compressive Wideband Spectrum Sensing for Fixed Frequency Spectrum Allocation
Computational adversarial risk analysis for general security games
An inpainting approach to manipulate asymmetry in pre-operative breast images
Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset
Consensus, Bi-polarization and Multiformity in Opinion Dynamics with Bidirectional Thresholds
Journalism-Guided Agentic In-Context Learning for News Stance Detection
Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data
A Note on the Permuted Puzzles Toy Conjecture
MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction
Evaluation of the Design Metric to Reduce the Number of Defects in Software Development
A Self-Supervised Miniature One-Shot Texture Segmentation (MOSTS) Model for Real-Time Robot Navigation and Embedded Applications
The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network
Live-E2T: Real-time Threat Monitoring in Video via Deduplicated Event Reasoning and Chain-of-Thought
An Optimized Framework to Adopt Computer Laboratory Administrations for Operating System and Application Installations
Towards Declarative Safety Rules for Perception Specification Architectures
Label-Free Model Evaluation with Semi-Structured Dataset Representations
A Retrieval Mechanism for Multi-versioned Digital Collection Using TAG
Opacity Enforcing Supervisory Control using Non-deterministic Supervisors
Estimating Undirected Graphs Under Weak Assumptions
Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition
Frequency-Time Diffusion with Neural Cellular Automata
Power Consumption Analysis of a Modern Smartphone
Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks
A surface finite element method for the Navier-Stokes equations on evolving surfaces
A Mathematical Model for Optimal Decisions in a Representative Democracy
Model-based Analysis of Mining Fairness in a Blockchain
Differentiable Folding for Nearest Neighbor Model Optimization
Deep Skin Lesion Segmentation with Transformer-CNN Fusion: Toward Intelligent Skin Cancer Analysis
Face Verification Bypass
Hadoop Mapreduce Performance Enhancement Using In-node Combiners
Comprehensive identification of Long Covid articles with human-in-the-loop machine learning
Knowledge driven Description Synthesis for Floor Plan Interpretation
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference
Aerial Grasping: Modeling and Control of a Flying Hand
An Architectural Design Decision Model for Resilient IoT Application
An Elo-like System for Massive Multiplayer Competitions
New VVC profiles targeting Feature Coding for Machines
ALIGN: A Vision-Language Framework for High-Accuracy Accident Location Inference through Geo-Spatial Neural Reasoning
Spectrum, algebraicity and normalization in alternate bases
Characterisation of rational and NURBS developable surfaces in Computer Aided Design
Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning
Weather Maps as Tokens: Transformers for Renewable Energy Forecasting
An Expert Survey on Models and Digital Twins
Enhancing Code Review through Fuzzing and Likely Invariants
A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata
From Altruism to Non-Cooperation in Routing Games
Totally Deep Support Vector Machines
Meta-Learning Loss Functions for Deep Neural Networks
Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inference
Practical applications of metric space magnitude and weighting vectors
Exact solutions for diluted spin glasses and optimization problems
L2-constrained Softmax Loss for Discriminative Face Verification
An approach to provide serverless scientific pipelines within the context of SKA
Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
A continuous scale space of diffeomorphisms
Perfect Space-Time Codes with Minimum and Non-Minimum Delay for Any Number of Antennas
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
Impact of an Arc-shaped Control Plate on Flow and Heat Transfer around a Isothermally Heated Rotating Circular Cylinder
On Fault Tolerant Feedback Vertex Set
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining
Learning Lexical Entries for Robotic Commands using Crowdsourcing
Data Augmentation of Railway Images for Track Inspection
Parallelizable Complex Neural Dynamics Models for PMSM Temperature Estimation with Hardware Acceleration
TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association
Introduction to the Galois Theory of Linear Differential Equations
Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence
Stock Trend Prediction: A Semantic Segmentation Approach
Modular GPU Programming with Typed Perspectives
NER Models Using Pre-training and Transfer Learning for Healthcare
CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
An Effective Framework for Managing University Data using a Cloud based Environment
Foley Control: Aligning a Frozen Latent Text-to-Audio Model to Video
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region
Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems
Design Iterations for Passive Aerial Manipulator
Designing a mobile game to generate player data - lessons learned
Extracting the trustworthiest way to service provider in complex online social networks
Semi-Quantitative Abstraction and Analysis of Chemical Reaction Networks
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
Generating Surface for Text-to-3D using 2D Gaussian Splatting
Social planning for social HRI
NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation
An effective and secure user authenticated protocol for Location based services in road networks
Semantics-Preserving Adversarial Training
NeRF Solves Undersampled MRI Reconstruction
Review of Parameter Tuning Methods for Nature-Inspired Algorithms
Differentially Private Data Analysis of Social Networks via Restricted Sensitivity
Semantics-aware Virtual Machine Image Management in IaaS Clouds
A Survey on Essential Components of a Self-Sovereign Identity
JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
A Signal Separation Method for Exceeding the Channel Capacity of BPSK Input
Connectivity graphs of uncertainty regions
Absorbing random-walk centrality: Theory and algorithms
The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
Seamless Website Fingerprinting in Multiple Environments
Adaptive Online Non-stochastic Control
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising
Bayesian Experimental Design for Symbolic Discovery
Reducing Inference Latency with Concurrent Architectures for Image Recognition
Odd-Even Embedding Scheme Based Modified Reversible Watermarking Technique using Blueprint
Connecting physics to systems with modular spin-circuits
Distributed Multi-Target Tracking in Autonomous Sensor Networks
ChatGPT-5 in Secondary Education: A Mixed-Methods Analysis of Student Attitudes, AI Anxiety, and Hallucination-Aware Use
A Systematic Review of Metaheuristics-Based and Machine Learning-Driven Intrusion Detection Systems in IoT
Transient fluctuation in stochastic catalytic networks
Investigating the Association Between Text-Based Indications of Foodborne Illness from Yelp Reviews and New York City Health Inspection Outcomes (2023)
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection
Stress Testing Chain-of-Thought Prompting for Large Language Models
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules
Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning
Probabilistic modelling and safety assurance of an agriculture robot providing light-treatment
Comparative Analysis of Deep Learning Models for Olive Tree Crown and Shadow Segmentation Towards Biovolume Estimation
Regression Testing with a Natural Language Oracle
Expected Free Energy-based Planning as Variational Inference
A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification
Forecasting Fold Bifurcations through Physics-Informed Convolutional Neural Networks
Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT
A Comprehensive Survey of 5G URLLC and Challenges in the 6G Era
Scalable Scene Modeling from Perspective Imaging: Physics-based Appearance and Geometry Inference
Multi-Robot Motion Planning from Vision and Language using Heat-Inspired Diffusion
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning
Steganography between Silence Intervals of Audio in Video Content Using Chaotic Maps
Identifying Topics from Micropost Collections using Linked Open Data
Application of Machine Learning to Predict the Risk of Alzheimer's Disease: An Accurate and Practical Solution for Early Diagnostics
Predicting Succinylation Sites in Proteins with Improved Deep Learning Architecture
Asymptotic Collusion-proofness of Voting Rules when the Number of Candidates is Large
Concurrency measures in the era of temporal network epidemiology: A review
Galois Theory of Algorithms
Image edge enhancement for effective image classification
Symbolic determinant identity testing and non-commutative ranks of matrix Lie algebras
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
Causal Prompting for Implicit Sentiment Analysis with Large Language Models
Evaluating LLM-Based Process Explanations under Progressive Behavioral-Input Reduction
Media-Based MIMO: A New Frontier in Wireless Communications
A New Clustering Method Based on Morphological Operations
BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms
Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework
Dual-Language General-Purpose Self-Hosted Visual Language and new Textual Programming Language for Applications
PredIN: Towards Open-Set Gesture Recognition via Prediction Inconsistency
Evaluation of Cross-View Matching to Improve Ground Vehicle Localization with Aerial Perception
Contributions to the development of the CRO-SL algorithm: Engineering applications problems
A generic framework for adaptive EEG-based BCI training and operation
The minimum linear locality of linear codes
Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting
Matte Anything: Interactive Natural Image Matting with Segment Anything Models
On Super-Resolution in Multirate Sampling Systems
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR
Turbo Interleaving inside the cdma2000 and W-CDMA Mobile Communication Systems: A Tutorial
Extending Multi-Object Tracking systems to better exploit appearance and 3D information
Addressing Item-Cold Start Problem in Recommendation Systems using Model Based Approach and Deep Learning
Probabilistic Analysis of Edge Elimination for Euclidean TSP
Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Network
Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal Tubes
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
Order-preserving 1-string representations of planar graphs
Unsupervised Learning based Element Resource Allocation for Reconfigurable Intelligent Surfaces in mmWave Network
How to avoid order reduction in third-order exponential Runge-Kutta methods for problems with non-commutative operators?
Quantifying Explainability of Saliency Methods in Deep Neural Networks
A Goal-Directed Implementation of Query Answering for Hybrid MKNF Knowledge Bases
An Extensible Timing Infrastructure for Adaptive Large-scale Applications
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
Optimized Many-Hypercube Codes toward Lower Logical Error Rates and Earlier Realization
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers
MLPrE - A tool for preprocessing and exploratory data analysis prior to machine learning model construction
A coherence parameter characterizing generative compressed sensing with Fourier measurements
PaVa: a novel Path-based Valley-seeking clustering algorithm
Integrating Preprocessing Methods and Convolutional Neural Networks for Effective Tumor Detection in Medical Imaging
MinCall - MinION end2end convolutional deep learning basecaller
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation
Optimisation de la taille de la série: illustration par un cas industriel de sous-traitance mécanique
Model Predictive Control for Unlocking Energy Flexibility of Heat Pump and Thermal Energy Storage Systems: Experimental Results
An efficient iteration for the extremal solutions of discrete-time algebraic Riccati equations
Unifying a Public Software Ecosystem: How Omaolo Responded to the COVID-19 Challenge
Hierarchical State Abstraction Based on Structural Information Principles
Location Inference from Tweets using Grid-based Classification
Neuro-Symbolic Agents with Modal Logic for Autonomous Diagnostics
Non-Linear Phase-Shifting of Haar Wavelets for Run-Time All-Frequency Lighting
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning
Measuring Directionality in Random Fields Using the Monogenic Signal
Cluster and Predict Latent Patches for Improved Masked Image Modeling
Floating-Base Deep Lagrangian Networks
A Novel Clustering Algorithm Based Upon Games on Evolving Network
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
The Cyborg Astrobiologist: Porting from a wearable computer to the Astrobiology Phone-cam
Classification of Non-native Handwritten Characters Using Convolutional Neural Network
Beyond Human-prompting: Adaptive Prompt Tuning with Semantic Alignment for Anomaly Detection
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
Towards Long-Distance Inspection for In-pipe Robots in Water Distribution Systems with Smart Navigation
Logarithmic Weisfeiler-Leman and Treewidth
Identifying pandemic-related stress factors from social-media posts - effects on students and young-adults
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice
MetaGrad: Adaptive Gradient Quantization with Hypernetworks
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
Differentiable Meta-Learning in Contextual Bandits
Social learning in a simple task allocation game
MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition
Comparative Evaluation of Tree-Based Ensemble Algorithms for Short-Term Travel Time Prediction
Vision-driven UAV River Following: Benchmarking with Safe Reinforcement Learning
Comparative analysis of criteria for filtering time series of word usage frequencies
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
The Station: An Open-World Environment for AI-Driven Discovery
An Elegant Algorithm for the Construction of Suffix Arrays
Dual-Branch Center-Surrounding Contrast: Rethinking Contrastive Learning for 3D Point Clouds
Principles of Visual Tokens for Efficient Video Understanding
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach
Robust affine feature matching via quadratic assignment on Grassmannians
A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
Social sustainability through engagement in a training context with tools such as the Native Podcast and Facebook social network
Inf-Sup Stability of Parabolic TraceFEM
Adaptive mesh refinement for the Landau-Lifshitz-Gilbert equation
Adaptive Lookahead Pure-Pursuit for Autonomous Racing
A real-time Artificial Intelligence system for learning Sign Language
GPU-Based Heuristic Solver for Linear Sum Assignment Problems Under Real-time Constraints
Homotopy composition of cospans
Rationality based Innate-Values-driven Reinforcement Learning
DOSE : Drum One-Shot Extraction from Music Mixture
MStableChain: Towards Multi-Native Stablecoins in EVM-Compatible Blockchain for Stable Fee and Mass Adoption
An Equivalent Circuit Workflow for Unconstrained Optimization
Towards Universal & Efficient Model Compression via Exponential Torque Pruning
A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder
Energy and Time Based Topology Control Approach to Enhance the Lifetime of WSN in an economic zone
Unveiling Privacy and Security Gaps in Female Health Apps
Stemming - The Evolution and Current State with a Focus on Bangla
Achievability of the Rate ${1/2}\log(1+\es)$ in the Discrete-Time Poisson Channel
Bottom-Up Derivatives of Tree Expressions
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Exploiting Particle Swarm Optimization in Multiple Faults Fuzzy Detection
Power Allocation and Transmitter Switching for Broadcasting with Multiple Energy Harvesting Transmitters
The FRED Event Display: an Extensible HepRep Client for GLAST
LLM Tree Search
Asymptotic normality of integer compositions inside a rectangle
Physics-Embedded Neural ODEs for Sim2Real Edge Digital Twins of Hybrid Power Electronics Systems
Finite-Sample Learning Control for LQR Over Unknown Lossy Channels
Command-line Obfuscation Detection using Small Language Models
On the Cost of Cyber Security in Smart Business
Enhancing Radiology Report Generation and Visual Grounding using Reinforcement Learning
Revisiting Performance of BiCGStab Methods for Solving Systems with Multiple Right-Hand Sides
More Than One Teacher: Adaptive Multi-Guidance Policy Optimization for Diverse Exploration
Taxonomy of AISecOps Threat Modeling for Cloud Based Medical Chatbots
Spreading Processes over Networks with Phase-Type Transmission and Recovery Times
MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler
Modeling Pedagogical Learning Environment with Hybrid Model based on ICT
Addressing the Fundamental Tension of PCGML with Discriminative Learning
Machine Learning-Aided Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries
An Access Control for IoT Based on Network Community Perception and Social Trust Against Sybil Attacks
Spiking Neural Networks Hardware Implementations and Challenges: a Survey