yusuke1997/dblp-id-title huggingface dataset:
Efficient Real-Time Aircraft ETA Prediction via Feature Tokenization Transformer
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Multimodal Feature-Driven Deep Learning for the Prediction of Duck Body Dimensions and Weight
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation
BIGDML: Towards Exact Machine Learning Force Fields for Materials
Mining Meaning from Wikipedia
A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K
Transferable Neural Wavefunctions for Solids
The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization
A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text
A New Algorithm for Improved Blind Detection of Polar Coded PDCCH in 5G New Radio
Do Quantum Neural Networks have Simplicity Bias?
Proceedings International Workshop on The Complexity of Simple Programs, CSP 2008, Cork, Ireland, 6-7th December 2008
Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis
Hint Orchestration Using ACL2's Simplifier
Computational Intelligence for Condition Monitoring
Regularizing Extrapolation in Causal Inference
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
Cryptography without Long-Term Quantum Memory and Global Entanglement
Web-Based Visualization of Very Large Scientific Astronomy Imagery
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Engaging with mental health: a global challenge
A Simple Search Problem
An Implementation, Empirical Evaluation and Proposed Improvement for Bidirectional Splitting Method for Argumentation Frameworks under Stable Semantics
Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers
An update on (n, m)-chromatic numbers
Query Learning with Exponential Query Costs
Binary Decision Process in Pre-Evacuation Behavior
eHDG: An Exponentially Convergent Iterative Solver for HDG Discretizations of Hyperbolic Partial Differential Equations
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection
Access Control for Information-Theoretically Secure Key-Document Stores
Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs
Pan-Cancer mitotic figures detection and domain generalization: MIDOG 2025 Challenge
Automated quantification of one-dimensional nanostructure alignment on surfaces
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
Kernel-Guided Training of Implicit Generative Models with Stability Guarantees
Sycophancy in Large Language Models: Causes and Mitigations
Frequency-Reactive Power Optimization Strategy of Grid-forming Offshore Wind Farm Using DRU-HVDC Transmission
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring
Identification of Latent Variables From Graphical Model Residuals
Research on Damage Analysis of Key Parts of UAV Flight Control System
Compressing deep neural networks by matrix product operators
ADABOOK & MULTIBOOK: Adaptive Boosting with Chance Correction
Certified Robustness via Randomized Smoothing over Multiplicative Parameters
BeamAttack: Generating High-quality Textual Adversarial Examples through Beam Search and Mixed Semantic Spaces
Anticipating the Selectivity of Cyclization Reaction Pathways with Neural Network Potentials
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN
Hardware Architecture Proposal for TEDA algorithm to Data Streaming Anomaly Detection
A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning
Component Based Programming in Scientific Computing: The Viable Approach
Objects and Goals Extraction from Semantic Networks : Applications of Fuzzy SetS Theory
AutoDC: Automated data-centric processing
LAMP: A Language Model on the Map
Sentiment Analysis of Financial News Articles using Performance Indicators
Is the coexistence of Catalan and Spanish possible in Catalonia?
Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient Adaptive Gradient Method
Genetic Data Governance in Crisis: Policy Recommendations for Safeguarding Privacy and Preventing Discrimination
Quad-LCD: Layered Control Decomposition Enables Actuator-Feasible Quadrotor Trajectory Planning
Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition
FixRoute: A Unified Logic and Numerical Tool for Provably Safe Internet Traffic Engineering
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework
THUMT: An Open Source Toolkit for Neural Machine Translation
Estimating Demand Flexibility Using Siamese LSTM Neural Networks
The Hellan-Herrmann-Johnson and TDNNS method for linear and nonlinear shells
On the Effectiveness of Image Manipulation Detection in the Age of Social Media
Collaborative Learning for Language and Speaker Recognition
Error estimates of energy regularization for the logarithmic Schrodinger equation
QPTAS for Geometric Set-Cover Problems via Optimal Separators
Dynamic V2X Autonomous Perception from Road-to-Vehicle Vision
Sources of Change for Modern Knowledge Organization Systems
Nominal Unification Revisited
Lizard: An Efficient Linearization Framework for Large Language Models
Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning
Modeling bike counts in a bike-sharing system considering the effect of weather conditions
Closing Bell: Boxing black box simulations in the resource theory of contextuality
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma
Factors that Contribute to the Success of a Software Organisation's DevOps Environment: A Systematic Review
Continual Learning with Deep Learning Methods in an Application-Oriented Context
Modeling and Verification of Lumped-Parameter, Multibody Structural Dynamics for Offshore Wind Turbines
Performance Analysis and Coherent Guaranteed Cost Control for Uncertain Quantum Systems
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
Design of multifunctional metamaterials using optimization
Analyzing Noise Models and Advanced Filtering Algorithms for Image Enhancement
Inter-frame Accelerate Attack against Video Interpolation Models
The Anatomy of a Scientific Gossip
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
Certifying Certainty and Uncertainty in Approximate Membership Query Structures - Extended Version
On the computational complexity of solving stochastic mean-payoff games
PNR: Physics-informed Neural Representation for high-resolution LFM reconstruction
Structural Pruning in Deep Neural Networks: A Small-World Approach
Securing IoT Applications using Blockchain: A Survey
Property of upper bounds on the number of rich words
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
Sex-based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures
Towards a Constant-Gap Sum-Capacity Result for the Gaussian Wiretap Channel with a Helper
ESPLoRA: Enhanced Spatial Precision with Low-Rank Adaption in Text-to-Image Diffusion Models for High-Definition Synthesis
Wider and Deeper LLM Networks are Fairer LLM Evaluators
3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes
Towards Safe Autonomous Driving: A Real-Time Safeguarding Concept for Motion Planning Algorithms
Reactive Robot Navigation Using Quasi-conformal Mappings and Control Barrier Functions
Dial2Desc: End-to-end Dialogue Description Generation
Dynamic Merge Point Prediction
Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning
UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution
Advanced Simulation of Quantum Computations: Compact Representation Rather than Hardware Power
Continual Novel Class Discovery via Feature Enhancement and Adaptation
How Sequence-to-Sequence Models Perceive Language Styles?
Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation
Mixing patterns and individual differences in networks
Triadic motifs and dyadic self-organization in the World Trade Network
Minors solve the elliptic curve discrete logarithm problem
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Première étape vers une navigation référentielle par l'image pour l'assistance à la conception des ambiances lumineuses
Cluster Synchronization of Networks via a Canonical Transformation for Simultaneous Block Diagonalization of Matrices
SplitFS: Reducing Software Overhead in File Systems for Persistent Memory
Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy
The myth of the Digital Earth between fragmentation and wholeness
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
Optimal Linear Aggregate Query Processing under Approximate Differential Privacy
The Journal Coverage of Web of Science and Scopus: a Comparative Analysis
Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features
LP2PB: Translating Answer Set Programs into Pseudo-Boolean Theories
Zippy: The smallest power-autonomous bipedal robot
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
A Meta-Analysis of LLM Effects on Students across Qualification, Socialisation, and Subjectification
Dion: A Communication-Efficient Optimizer for Large Models
Verifying Approximate Equilibrium in Auctions
Quaternion-Based Robust PCA for Efficient Moving Target Detection and Background Recovery in Color Videos
An adaptive finite element DtN method for the elastic wave scattering problem in three dimensions
Towards a Technical Debt for Recommender System
Displaying Asynchronous Reactions to a Document: Two Goals and a Design
Verification Framework for Control System Functionality of Unmanned Aerial Vehicles
Minimalist Regression Network with Reinforced Gradients and Weighted Estimates: a Case Study on Parameters Estimation in Automated Welding
Unlocking the Non-Native Language Context Limitation: Native Language Prompting Facilitates Knowledge Elicitation
Efficient Deduplication and Leakage Detection in Large Scale Image Datasets with a focus on the CrowdAI Mapping Challenge Dataset
A preconditioned Forward-Backward method for partially separable SemiDefinite Programs
Deformable ConvNets v2: More Deformable, Better Results
GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection
End-Users' Knowledge and Perception about Security of Mobile Health Apps: An Empirical Study
Deciding when to stop: Efficient stopping of active learning guided drug-target prediction
Zero-shot Task Adaptation using Natural Language
Towards Adversarial Robustness and Uncertainty Quantification in DINOv2-based Few-Shot Anomaly Detection
A Feature-Based Approach to Generating Comprehensive End-to-End Tests
NERCat: Fine-Tuning for Enhanced Named Entity Recognition in Catalan
Helix++: A platform for efficiently securing software
Correlation Net : spatio temporal multimodal deep learning
SpEuler: Semantics-preserving Euler Diagrams
A Review on Plastic Artificial Neural Networks: Exploring the Intersection between Neural Architecture Search and Continual Learning
GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems
Benchmarking Expressive Japanese Character Text-to-Speech with VITS and Style-BERT-VITS2
Using data mining techniques for diagnosis and prognosis of cancer disease
Central Similarity Hashing via Hadamard matrix
Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL
Reinforcement Learning for Ballbot Navigation in Uneven Terrain
MGCA-Net: Multi-Grained Category-Aware Network for Open-Vocabulary Temporal Action Localization
Missing Data Multiple Imputation for Tabular Q-Learning in Online RL
Band-limited Soft Actor Critic Model
Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings
Counterfactual fairness: removing direct effects through regularization
Comparative Analysis of Machine Learning Models for Predicting Travel Time
Kernel machines with two layers and multiple kernel learning
Impact of order three cycles in complex network spectra
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds
Using Swarm Optimization To Enhance Autoencoders Images
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
Single Answer is Not Enough: On Generating Ranked Lists with Medical Reasoning Models
Predicting Playa Inundation Using a Long Short-Term Memory Neural Network
DualConv: Dual Mesh Convolutional Networks for Shape Correspondence
Reconfigurable Parallel Data Flow Architecture
On Stable Approximation Algorithms for Geometric Coverage Problems
ConceptFlow: Hierarchical and Fine-grained Concept-Based Explanation for Convolutional Neural Networks
A new efficient explicit Deferred Correction framework: analysis and applications to hyperbolic PDEs and adaptivity
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings
Tighter Upper Bounds for the Minimum Number of Calls and Rigorous Minimal Time in Fault-Tolerant Gossip Schemes
Combining Time-Dependent Force Perturbations in Robot-Assisted Surgery Training
Computing sessile droplet shapes on arbitrary surfaces with a new pairwise force smoothed particle hydrodynamics model
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures
Quasi-Static Continuum Model of Octopus-Like Soft Robot Arm Under Water Actuated by Twisted and Coiled Artificial Muscles (TCAMs)
The NoN Approach to Autonomic Face Recognition
Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems
Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment
Updated version: A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Restless Bandits with Constrained Arms: Applications in Social and Information Networks
On The Secrecy of the Cognitive Interference Channel with Channel State
Anti dependency distance minimization in short sequences. A graph theoretic approach
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks
Stochastic Process Turing Machines
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
Longitudinal Ensemble Integration for sequential classification with multimodal data
Scientific image rendering for space scenes with the SurRender software
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
Multi-Task Learning Using Uncertainty to Weigh Losses for Heterogeneous Face Attribute Estimation
Residual fourier neural operator for thermochemical curing of composites
OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation
A geometric generalization of Kaplansky's direct finiteness conjecture
Approachability, Regret and Calibration; implications and equivalences
Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD
Efficacy of Full-Packet Encryption in Mitigating Protocol Detection for Evasive Virtual Private Networks
Concept Extrapolation: A Conceptual Primer
Image Varifolds on Meshes for Mapping Spatial Transcriptomics
HMCGeo: IP Region Prediction Based on Hierarchical Multi-label Classification
New bounds for odd colourings of graphs
Simulated annealing: in mathematical global optimization computation, hybrid with local or global search, and practical applications in crystallography and molecular modelling
From an Integrated Usability Framework to Lessons on Usability and Performance of Open Government Data Portals: A Comparative Study of European Union and Gulf Cooperation Council Countries
Estimating the Trace of the Matrix Inverse by Interpolating from the Diagonal of an Approximate Inverse
Anomaly Detection using Deep Learning based Image Completion
Design of an SI Engine Cold Start Controller based on Dynamic Coupling Analysis
L-structure least squares solutions of reduced biquaternion matrix equations with applications
SiMa: Effective and Efficient Data Silo Federation Using Graph Neural Networks
Taming Wild Price Fluctuations: Monotone Stochastic Convex Optimization with Bandit Feedback
cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
Improving AFL++ CmpLog: Tackling the bottlenecks
Medical Image Deep Learning with Hospital PACS Dataset
Constrained information flows in temporal networks reveal intermittent communities
A Survey on Event-based News Narrative Extraction
Impact of Short-Duration Aerobic Exercise Intensity on Executive Function and Sleep
A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series - Full Version
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
A Computer Search for N1L-Configurations
Large language models in 6G security: challenges and opportunities
TableZa - A classical Computer Vision approach to Tabular Extraction
Model-driven Engineering of Manufacturing Automation Software Projects - A SysML-based Approach
Convolutional Neural Knowledge Graph Learning
On the Use of Immersive Digital Technologies for Designing and Operating UAVs
BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B
On Coalgebraic Product Constructions for Markov Chains and Automata
Amortized learning of neural causal representations
On Stabbing Queries for Generalized Longest Repeat
Exemplar-based Generative Facial Editing
Learning to Grasp Anything by Playing with Random Toys
MeshPad: Interactive Sketch-Conditioned Artist-Designed Mesh Generation and Editing
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity
AVATAR: Blender add-on for fast creation of 3D human models
Sonispace: a simulated-space interface for sound design and experimentation
Symbol-pair Weight Distributions of Some Linear Codes
Robustness of Link-prediction Algorithm Based on Similarity and Application to Biological Networks
Exact p-adic computation in Magma
On-field player workload exposure and knee injury risk monitoring via deep learning
Resource Allocation for a Full-Duplex Base Station Aided OFDMA System
Irreducible Markov Chains on spaces of graphs with fixed degree-color sequences
Enhancing Out-Of-Domain Utterance Detection with Data Augmentation Based on Word Embeddings
Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper
BOTT: Box Only Transformer Tracker for 3D Object Tracking
Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations
MPA: MultiPath++ Based Architecture for Motion Prediction
The Junk News Aggregator: Examining junk news posted on Facebook, starting with the 2018 US Midterm Elections
Reactive Aerobatic Flight via Reinforcement Learning
Terrain-aware Low Altitude Path Planning
Atomic Literary Styling: Mechanistic Manipulation of Prose Generation in Neural Language Models
NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing
A Fault Prognostic System for the Turbine Guide Bearings of a Hydropower Plant Using Long-Short Term Memory (LSTM)
Diffusion Priors In Variational Autoencoders
Using Deep Learning to Count Albatrosses from Space
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition
STAR: A Foundation Model-driven Framework for Robust Task Planning and Failure Recovery in Robotic Systems
Between conjecture and memento: shaping a collective emotional perception of the future
Achieving Fairness at No Utility Cost via Data Reweighing
Non-Asymptotic Guarantees for Robust Statistical Learning under (1+ε)-th Moment Assumption
Handwritten Signature Verification Using Hand-Worn Devices
AI-Based Stroke Rehabilitation Domiciliary Assessment System with ST_GCN Attention
A Data Flow Analysis Framework for Data Flow Subsumption
Temporal motifs reveal homophily, gender-specific patterns and group talk in mobile communication networks
Beyond the Use-and-then-Forget (UatF) Bound: Fixed Point Algorithms for Statistical Max-Min Power Control
Syntactico-Semantic Reasoning using PCFG, MEBN, and PR-OWL
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
On Some Classes of Functions and Hypercubes
Why Should Anyone use Colours? or, Syntax Highlighting Beyond Code Snippets
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
Asynchronous Systems and Binary Diagonal Random Matrices: A Proof and Convergence Rate
Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Multi-Target Prediction: A Unifying View on Problems and Methods
How hard is it to satisfy (almost) all roommates?
Tourist Navigation in Android Smartphone by using Emotion Generating Calculations and Mental State Transition Networks
Generative AI for Analysts
BRUDEX Database: Binaural Room Impulse Responses with Uniformly Distributed External Microphones
Stochastic Learning Equation using Monotone Increasing Resolution of Quantization
A Large Language Model for Corporate Credit Scoring
Modelling of the gravity compensators in robotic manufacturing cells
On Finding All Connected Maximum-Sized Common Subgraphs in Multiple Labeled Graphs
Streaming and Sublinear Approximation of Entropy and Information Distances
XML parser GUI using .NET Technology
Accelerating Constrained Sampling: A Large Deviations Approach
CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery
GRADOOP: Scalable Graph Data Management and Analytics with Hadoop
Policy Gradient Optimal Correlation Search for Variance Reduction in Monte Carlo simulation and Maximum Optimal Transport
Query-Focused Extractive Summarization for Sentiment Explanation
On Scenario Formalisms for Automated Driving
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
Tools for modelling and simulating the Smart Grid
Node Isolation Probability of Wireless Adhoc Networks in Nagakami Fading Channel
Outfit Generation and Recommendation - An Experimental Study
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Strong Converses Are Just Edge Removal Properties
Multi-Head Attention Driven Dynamic Visual-Semantic Embedding for Enhanced Image-Text Matching
Learning in Riemannian Orbifolds
Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites
Quickest Change Detection with Cost-Constrained Experiment Design
A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond
A waveform iteration implementation for black-box multi-rate higher-order coupling
Beating the bookies with their own numbers - and how the online sports betting market is rigged
Noise sensitivity and stability on groups
A Potential Theory of General Spatially-Coupled Systems via a Continuum Approximation