yusuke1997/dblp-id-title huggingface dataset:
Model-driven realization of IDTA submodel specifications: The good, the bad, the incompatible?
Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation
A Radix Representation for each van der Waerden number $W(r, k)$ with $r$ colors: Why \(\log_{r}W(r, k) < k^{2}\) is true whenever $k$ is the number of terms in the arithmetic progression
Exploring the Potential of Flexible 8-bit Format: Design and Algorithm
Single-cell RNA-seq data imputation using Feature Propagation
Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations
A Spatial-Epistemic Logic for Reasoning about Security Protocols
How to make the top ten: Approximating PageRank from in-degree
A Convex Approach to Steady State Moment Analysis for Stochastic Chemical Reactions
Energy-Efficiency and Spectral-Efficiency Trade-off in Distributed Massive-MIMO Networks
Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects
Placement and Scheduling of Functions in Network Function Virtualization
DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
Design of Adaptive Hybrid Downlink NOMA-TDMA for Visible Light Communications Networks
Segmentation of Robot Movements using Position and Contact Forces
Next-Generation Wireless: Tracking the Evolutionary Path of 6G Mobile Communication
An Application of Online Learning to Spacecraft Memory Dump Optimization
Towards Egocentric Person Re-identification and Social Pattern Analysis
An improved distributed routing algorithm for Benes based optical NoC
PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems - Ultimate boundedness in the presence of measurement noise
Catching Out-of-Context Misinformation with Self-supervised Learning
Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning
Machine Learning Methods for Automated Interstellar Object Classification with LSST
As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness
Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice
Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning
Deep learning in a bilateral brain with hemispheric specialization
On the Signature Calculus for finite fields of order square of prime numbers
Newsvendor Model with Deep Reinforcement Learning
MARIC: Multi-Agent Reasoning for Image Classification
A Dual-space Multilevel Kernel-splitting Framework for Discrete and Continuous Convolution
Simulating Structural Plasticity of the Brain more Scalable than Expected
Mesh-free Semi-Lagrangian Methods for Transport on a Sphere Using Radial Basis Functions
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation
A Characterization of Visibility Graphs for Pseudo-Polygons
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks
CLaRO: a Data-driven CNL for Specifying Competency Questions
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference
Predicting In-game Actions From the Language of NBA Players
Surfel-based 3D Registration with Equivariant SE(3) Features
QSW_MPI: a framework for parallel simulation of quantum stochastic walks
Energy Model for Vesicle-Based Active Transport Molecular Communication
Interactive Log Parsing via Light-weight User Feedbacks
A Drug Recommendation System (Dr.S) for cancer cell lines
Open-Retrieval Conversational Machine Reading
A Model-Based Balance Stabilization System for Biped Robot
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Reconstruction Alignment Improves Unified Multimodal Models
Gathering Statistics to Aspectually Classify Sentences with a Genetic Algorithm
COXNet: Cross-Layer Fusion with Adaptive Alignment and Scale Integration for RGBT Tiny Object Detection
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare
Long Term Object Detection and Tracking in Collaborative Learning Environments
Generic Fibrational Induction
Evaluating the Impact of Lean and Green Practices on Operational Performance: A Real Data-Driven Simulation Case Study
DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations
Experimental performance of graph neural networks on random instances of max-cut
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms
A meet-in-the-middle algorithm for fast synthesis of depth-optimal quantum circuits
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
m-Nearly k-Universal Words - Investigating Simon Congruence
RealImpact: A Dataset of Impact Sound Fields for Real Objects
A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy
An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
Extending the DEVS Formalism with Initialization Information
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation
Fair Resource Sharing with Externailities
Channel Measurements and Models for High-Speed Train Wireless Communication Systems in Tunnel Scenarios: A Survey
Ontology-Driven Processing of Transdisciplinary Domain Knowledge
Partitioning, Indexing and Querying Spatial Data on Cloud
Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance
Robust Multi-modal Task-oriented Communications with Redundancy-aware Representations
Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors
Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement
Policies for growth of influence networks in task-oriented groups: elitism and egalitarianism outperform welfarism
Building Resilient Information Systems for Child Nutrition in Post-conflict Sri Lanka during COVID-19 Pandemic
Switching between Hidden Markov Models using Fixed Share
Provable Low-Frequency Bias of In-Context Learning of Representations
α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
Graded Symmetry Groups: Plane and Simple
Cough Detection from Acoustic signals for patient monitoring system
Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt
Compressed sensing with corrupted observations
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Extracting Training Data from Document-Based VQA Models
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method
RisGraph: A Real-Time Streaming System for Evolving Graphs
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models
Exponential wealth distribution in a random market. A rigorous explanation
Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network
Improved parallel algorithms for hypergraph maximal independent set
Cross-Lingual Multi-Granularity Framework for Interpretable Parkinson's Disease Diagnosis from Speech
Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
Evaluating hardware differences for crowdsourcing and traditional recruiting methods
Credal and Interval Deep Evidential Classifications
Distributed Bilevel Optimization with Dual Pruning for Resource-limited Clients
An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores
MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning
Structural importance and evolution: an application to financial transaction networks
Predicting the cardinality of a reduced Gröbner basis
An Analysis of Physics-Informed Neural Networks
Towards a unified language in experimental designs propagated by a software framework
An Improvement of a Key Exchange Protocol Relying on Polynomial Maps
ReGlove: A Soft Pneumatic Glove for Activities of Daily Living Assistance via Wrist-Mounted Vision
Constrained Motion Planning of A Cable-Driven Soft Robot With Compressible Curvature Modeling
Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools
Bridging machine learning and cryptography in defence against adversarial attacks
Consolidating the innovative concepts towards Exascale computing for Co-Design of Co-Applications ll: Co-Design Automation - Workload Characterization
Computational analysis reveals historical trajectory of East-Polynesian lunar calendars
The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology
Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models
The Power of Generalized Clemens Semantics
Auxiliary Splines Space Preconditioning for B-Splines Finite Elements: The case of H(curl, Ω) and H(div, Ω) elliptic problems
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
Interpolation of scattered data in $\mathbb{R}^3$ using minimum $L_p$-norm networks, $1<p<\infty$
Retractable Contracts
Disjoint faces in simple drawings of the complete graph and topological Heilbronn problems
Multi-Agent Model using Secure Multi-Party Computing in e-Governance
Energy Efficient Routing For Underwater Acoustic Sensor Network Using Genetic Algorithm
The Adaptive Communication Framework (ACF) for Extraterrestrial Intelligence Discovery
On Linear Optimization over Wasserstein Balls
SASeq: A Selective and Adaptive Shrinkage Approach to Detect and Quantify Active Transcripts using RNA-Seq
Video Contents Prior Storing Server for Optical Access Network
Translating NP-SPEC into ASP
A Scalable Protocol for Cooperative Time Synchronization Using Spatial Averaging
Cyber Attack Detection thanks to Machine Learning Algorithms
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
An efficient truncation scheme for Eulerian and total Lagrangian SPH methods
Drones Practicing Mechanics
Object Recognition for Economic Development from Daytime Satellite Imagery
On the Flatness of Immediate Observation Petri Nets
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild" Edge Applications
On Homomorphism Graphs
Modular Design of Strict Control Lyapunov Functions for Global Stabilization of the Unicycle in Polar Coordinates
HABCSm: A Hamming Based t-way Strategy Based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation
Adventurer's Treasure Hunt: A Transparent System for Visually Grounded Compositional Visual Question Answering based on Scene Graphs
Algorithmic Transparency and Manipulation
On Context-Content Uncertainty Principle
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
A limiting model for a low Reynolds number swimmer with N passive elastic arms
THEMIS: A Decentralized Privacy-Preserving Ad Platform with Reporting Integrity
A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
A Novel Template-Based Learning Model
Generalization of Long-Range Machine Learning Potentials in Complex Chemical Spaces
Semiexplicit Symplectic Integrators for Non-separable Hamiltonian Systems
Sparse Linear Regression via Generalized Orthogonal Least-Squares
TMLab: Generative Enhanced Model (GEM) for adversarial attacks
Perspective in Opinion Dynamics on Complex Convex Domains of Time Networks for Addiction, Forgetting
A macro placer algorithm for chip design
Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Guided Generative Protein Design using Regularized Transformers
zkFi: Privacy-Preserving and Regulation Compliant Transactions using Zero Knowledge Proofs
Efficient Algorithm Level Error Detection for Number-Theoretic Transform Assessed on FPGAs
The Game of Cops and Eternal Robbers
Unknown-box Approximation to Improve Optical Character Recognition Performance
A Survey of Riccati Equation Results in Negative Imaginary Systems Theory and Quantum Control Theory
A Control-theoretic Model for Bidirectional Molecular Communication Systems
Visual-UWB Navigation System for Unknown Environments
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
Understanding Delays in AF\_XDP-based Applications
An Uncertainty-aware, Mesh-free Numerical Method for Kolmogorov PDEs
Faster Shortest Non-contractible Cycles in Directed Surface Graphs
Performance of a random-access wireless network with a mix of full- and half-duplex stations
Physics-Guided Hierarchical Reward Mechanism for LearningBased Multi-Finger Object Grasping
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach
Improved Algorithms for Recognizing Perfect Graphs and Finding Shortest Odd and Even Holes
Controllable Emotion Generation with Emotion Vectors
Computation with Advice
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework
DPCheatSheet: Using Worked and Erroneous LLM-usage Examples to Scaffold Differential Privacy Implementation
FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts
Modelling co-evolution of resource feedback and social network dynamics in human-environmental systems
Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition
Closed-form congestion control via deep symbolic regression
The Number of Steps Needed for Nonconvex Optimization of a Deep Learning Optimizer is a Rational Function of Batch Size
Distilling the Knowledge of BERT for Text Generation
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Cognitive Visual Inspection Service for LCD Manufacturing Industry
An optimal learning method for developing personalized treatment regimes
BASALT: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks
Lessons Learnt from Deploying ARI in Residential Care
A Phase Transition for Opinion Dynamics with Competing Biases
Instantaneous, non-squeezed, noise-based logic
Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models
ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System
From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision
Deep Recurrent Modelling of Granger Causality with Latent Confounding
Polynomial Time Algorithms for Integer Programming and Unbounded Subset Sum in the Total Regime
An optimum energy consumption hybrid algorithm for xln strategic design in wsns
Geometric Matrix Completion: A Functional View
Automorphism groups of maps in linear time
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem
Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion
Security in Quantum Cryptography
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge
On the need for a global academic internet platform
Privacy-Preserving Identification of Target Patients from Outsourced Patient Data
Cat and Mouse - Can Fake Text Generation Outpace Detector Systems?
Analyzing and Supporting Adaptation of Online Code Examples
T-count and Qubit Optimized Quantum Circuit Designs of Carry Lookahead Adder
Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data
Resonant Clocking Circuits for Reversible Computation
FPGA-based Hyrbid Memory Emulation System
Extension of Modularity Density for Overlapping Community Structure
Latent feature sharing: an adaptive approach to linear decomposition models
Introducing ORKG ASK: an AI-driven Scholarly Literature Search and Exploration System Taking a Neuro-Symbolic Approach
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
A model is worth tens of thousands of examples
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
Optimal Model-Based Sensor Placement & Adaptive Monitoring Of An Oil Spill
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
A Use Case Lens on Digital Cultural Heritage
Optimization of Raman amplifiers: a comparison between black-, grey- and white-box modeling
Preventing Over-Smoothing for Hypergraph Neural Networks
BIBERT-Pipe on Biomedical Nested Named Entity Linking at BioASQ 2025
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning
Measuring and Optimizing System Reliability: A Stochastic Programming Approach
Classification with Trust: A Supervised Approach based on Sequential Ellipsoidal Partitioning
Dyna Planning using a Feature Based Generative Model
Perfect Bayesian Equilibria in Reputation Games with Nested Information Structure
Machine Learning and Data Analytics for Design and Manufacturing of High-Entropy Materials Exhibiting Mechanical or Fatigue Properties of Interest
Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction
Mining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools
Partial Floquet Transformation and Model Order Reduction of Linear Time-Periodic Systems
An Empirical Study on Eliciting and Improving R1-like Reasoning Models
Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
Forecasting West Nile virus with deep graph encoders
Deep Submodular Functions
Majorant series for the $N$-body problem
Interlude: Balancing Chaos And Harmony For Fair and Fast Blockchains
Newton and interior-point methods for (constrained) nonconvex-nonconcave minmax optimization with stability guarantees
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities
Risk-Sensitive Orbital Debris Collision Avoidance using Distributionally Robust Chance Constraints
A metric for sets of trajectories that is practical and mathematically consistent
Loop Restricted Existential Rules and First-order Rewritability for Query Answering
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach
Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies
A study of the existing libraries to read from configuration files (from C++)
Analysis of LDGM and compound codes for lossy compression and binning
MIST: Mutual Information Via Supervised Training
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
Locally tabular products of modal logics
Semantic, Efficient, and Secure Search over Encrypted Cloud Data
DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment
SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)
A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes
Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion
Power Grid Transient Analysis via Open-Source Circuit Simulator: A Case Study of HVDC
Mitigating Hallucinations in Healthcare LLMs with Granular Fact-Checking and Domain-Specific Adaptation
Bézier Curve Gaussian Processes
Establishing Role-based Access Control in Viewpoint-oriented Variability Management
Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Revealing the Weaknesses of File Sharing System on Cloud Storages
New reduction rules for the tree bisection and reconnection distance
DDIM-Driven Coverless Steganography Scheme with Real Key
HumanEval on Latest GPT Models - 2024
Supporting Data-Frame Dynamics in AI-assisted Decision Making
Evolutionary chemical learning in dimerization networks
Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm
An LSTM-Based Predictive Monitoring Method for Data with Time-varying Variability
Effects of the Strict-Tolerant Approach on Intuitionistic and Minimal Logic
The Methods to Improve Quality of Service by Accounting Secure Parameters
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
Computoser - rule-based, probability-driven algorithmic music composition
The Law of Multi-Model Collaboration: Scaling Limits of Model Ensembling for Large Language Models
Optimal transport-based metric for SMLM
A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks
Can the capability of Large Language Models be described by human ability? A Meta Study
Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning
Investigating the Cost of Anonymity on Dynamic Networks
Apples, Oranges & Fruits - Understanding Similarity of Software Projects Through The Lens of Dissimilar Artifacts
When Developer Aid Becomes Security Debt: A Systematic Analysis of Insecure Behaviors in LLM Coding Agents
Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models
40 Years of Interdisciplinary Research: Phases, Origins, and Key Turning Points (1981-2020)
Mixed-Curvature Decision Trees and Random Forests
Machine learning the interaction network in coupled dynamical systems
A Workflow for GLAM Metadata Crosswalk
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency
Asymptotic Improvement of the Gilbert-Varshamov Bound on the Size of Permutation Codes
BATMAN : plate-forme blockchain pour l'authentification et la confiance dans les WSNs
A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis
Signed Graph Metric Learning via Gershgorin Disc Alignment
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison
Direct Depth Learning Network for Stereo Matching
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP
The Performance Envelope of Inverted Indexing on Modern Hardware
(De)composing Craft: An Elementary Grammar for Sharing Expertise in Craft Workflows
Interactive Image Segmentation using Label Propagation through Complex Networks
Information spreading during emergencies and anomalous events