yusuke1997/dblp-id-title huggingface dataset:
A Novel Methodologyof Router-To-ASMapping inspired by Community Discovery
A simple statistical analysis approach for Intrusion Detection System
Resampling methods for Private Statistical Inference
Toxicity of the Commons: Curating Open-Source Pre-Training Data
One- and multi-dimensional CWENOZ reconstructions for implementing boundary conditions without ghost cells
Think While You Generate: Discrete Diffusion with Planned Denoising
Enhancing generalization in high energy physics using white-box adversarial attacks
Playing the Wrong Game: Smoothness Bounds for Congestion Games with Risk Averse Agents
Admissibility Over Winning: A New Approach to Reactive Synthesis in Robotics
Procedural terrain generation with style transfer
Can pandemics transform scientific novelty? Evidence from COVID-19
Bird-Area Water-Bodies Dataset (BAWD) and Predictive AI Model for Avian Botulism Outbreak (AVI-BoT)
New Directions In Cellular Automata
Generalized bent functions and their Gray images
The Binary Garrote
Reducing Domain Gap via Style-Agnostic Networks
Investigating the Performance of an Adiabatic Quantum Optimization Processor
Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
Federated Learning Method for Preserving Privacy in Face Recognition System
FEET: A Framework for Evaluating Embedding Techniques
An Approach to Hadwiger's Conjecture through Squares of Chordal Graphs
A Communication Model for Adaptive Service Provisioning in Hybrid Wireless Networks
Robust offset-free constrained Model Predictive Control with Long Short-Term Memory Networks - Extended version
Prediction of future hospital admissions - what is the tradeoff between specificity and accuracy?
Enriched text-guided variational multimodal knowledge distillation network (VMD) for automated diagnosis of plaque vulnerability in 3D carotid artery MRI
Modulo quantifiers over functional vocabularies extending addition
Belief revision by examples
Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses
Moderate Adaptive Linear Units (MoLU)
Cooperative IoT Data Sharing with Heterogeneity of Participants Based on Electricity Retail
Recognizing generating subgraphs revisited
A Study of Gate-Based and Boson Sampling Quantum Random Number Generation on IBM and Xanadu Quantum Devices
Developing a Responsible AI Framework for Healthcare in Low Resource Countries: A Case Study in Nepal and Ghana
Identifying bias in CNN image classification using image scrambling and transforms
On the Entropy of Couplings
Enumerating Chemical Graphs with Mono-block 2-Augmented Tree Structure from Given Upper and Lower Bounds on Path Frequencies
Disjoint covering systems and the reversion of the Möbius series
Learning the Inverse Ryu-Takayanagi Formula with Transformers
SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding
Handoff Rate and Coverage Analysis in Multi-tier Heterogeneous Networks
Variational Mandible Shape Completion for Virtual Surgical Planning
IREXF: Data Exfiltration from Air-gapped Networks by Infrared Remote Control Signals
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
Diffusion Generative Inverse Design
AlgoSelect: Universal Algorithm Selection via the Comb Operator
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations
Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in Voice Authentication Systems
Support Recovery for Sparse Deconvolution of Positive Measures
Planning with Vision-Language Models and a Use Case in Robot-Assisted Teaching
Australian Supermarket Object Set (ASOS): A Benchmark Dataset of Physical Objects and 3D Models for Robotics and Computer Vision
Quantitative Prediction on the Enantioselectivity of Multiple Chiral Iodoarene Scaffolds Based on Whole Geometry
Preconditioning a Fluid-Structure Interaction Problem Using Monolithic and Block Domain Decomposition Methods for the Fluid
Scaling Shared-Memory Data Structures as Distributed Global-View Data Structures in the Partitioned Global Address Space model
Bayesian graph convolutional neural networks via tempered MCMC
Let Curves Speak: A Continuous Glucose Monitor based Large Sensor Foundation Model for Diabetes Management
Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs
Toward Green and Human-Like Artificial Intelligence: A Complete Survey on Contemporary Few-Shot Learning Approaches
Exact Statistical Characterization of $2\times2$ Gram Matrices with Arbitrary Variance Profile
General Ramified Recurrence and Polynomial-time Completeness
Analyticity of Parametric and Stochastic Elliptic Eigenvalue Problems with an Application to Quasi-Monte Carlo Methods
SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Research
Detection of COVID-19 informative tweets using RoBERTa
Diffusion on the Probability Simplex
"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations
Topologies in the Internet of Medical Things (IoMT), literature review
Masked Matrix Multiplication for Emergent Sparsity
HeteroBA: A Structure-Manipulating Backdoor Attack on Heterogeneous Graphs
How susceptible are LLMs to Logical Fallacies?
Hardware/Software Co-Design for Spike Based Recognition
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
Price of Safety in Linear Best Arm Identification
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness
The ZX calculus is incomplete for quantum mechanics
Spoiler Susceptibility in Multi-District Party Elections
Mantis: Predicting System Performance through Program Analysis and Modeling
Dendritic Cells for SYN Scan Detection
Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset
Memory-efficient Sketch Acceleration for Handling Large Network Flows on FPGAs
Unseen Image Synthesis with Diffusion Models
Get my pizza right: Repairing missing is-a relations in ALC ontologies (extended version)
Metaphor Detection using Deep Contextualized Word Embeddings
A Survey on Self-healing Software System
SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images
Think Twice: Branch-and-Rethink Reasoning Reward Model
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis
Selective disclosure of claims from multiple digital credentials
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text
Walking into the complex plane to 'order' better time integrators
Network analysis using Krylov subspace trajectories
Computing linear functions by linear coding over networks
A Framework for Nonstationary Gaussian Processes with Neural Network Parameters
Clustered Variants of Hajós' Conjecture
Nyström-Accelerated Primal LS-SVMs: Breaking the O(an 3 ) Complexity Bottleneck for Scalable ODEs Learning
Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices
Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging
Computing the closest singular matrix polynomial
A Digital Twin-based Intelligent Network Architecture for Underwater Acoustic Sensor Networks
Effect of implementation of improved methods of the life cycle stages organisation to the online community management
Third Time's Not a Charm: Exploiting SNMPv3 for Router Fingerprinting
An Equivalent Representation of Generalized Differentials
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images
A discriminative view of MRF pre-processing algorithms
Efficient Estimation of the Local Robustness of Machine Learning Models
MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers
Greed is slow on sparse graphs of oriented valued constraints
GuessCompx: An empirical complexity estimation in R
On the Emerging Area of Biocybersecurity and Relevant Considerations
Destruction of Image Steganography using Generative Adversarial Networks
AgriField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel
GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training
Proposing LT based Search in PDM Systems for Better Information Retrieval
Community Energy Storage-based Energy Trading Management for Cost Benefits and Network Support
PyCIL: A Python Toolbox for Class-Incremental Learning
An Exploration of Learnt Representations of W Jets
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets
Detecting Flaky Tests in Quantum Software: A Dynamic Approach
Automata finiteness criterion in terms of van der Put series of automata functions
THOR: Threshold-Based Ranking Loss for Ordinal Regression
Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics
Advances in Deep Space Exploration via Simulators & Deep Learning
On the Use of RBF Interpolation for Flux Reconstruction
Online Tracking Parameter Adaptation based on Evaluation
Effect of Mindfulness and Mindful Art on Beginners and Experienced Meditators
A Robust Image Steganographic Scheme against General Scaling Attacks
Some Non-Classical Approaches to the Branderburger-Keisler Paradox
Implementing Online Reinforcement Learning with Clustering Neural Networks
Taming Limits with Approximate Networking
Optimal List Recoloring of Subcubic Graphs and Complete Multipartite Graphs
ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-Attention
Scaling Laws for State Dynamics in Large Language Models
Hardware/Software Co-monitoring
Machine Learning Prediction of Gamer's Private Networks
The Complexity of Mixed-Connectivity
Unified Performance Analysis of Mixed Line of Sight RF-FSO Fixed Gain Dual-Hop Transmission Systems
MOROCCO: Model Resource Comparison Framework
OpenTwinMap: An Open-Source Digital Twin Generator for Urban Autonomous Driving
Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning
Optimal storage codes on graphs with fixed locality
Connecting NTK and NNGP: A Unified Theoretical Framework for Neural Network Learning Dynamics in the Kernel Regime
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks - Part I: Intra-Layer Dynamics and Selective Inhibition
Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication
Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest
TurboGP: A flexible and advanced python based GP library
Satisfiability problems on sums of Kripke frames
Repository-Aware File Path Retrieval via Fine-Tuned LLMs
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs
VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion
A multi-stage deep learning based algorithm for multiscale modelreduction
On spectral properties for graph matching and graph isomorphism problems
CascadedViT: Cascaded Chunk-FeedForward and Cascaded Group Attention Vision Transformer
Robust 3D Point Clouds Classification based on Declarative Defenders
Perception of an AI Teammate in an Embodied Control Task Affects Team Performance, Reflected in Human Teammates' Behaviors and Physiological Responses
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
SaraCoder: Orchestrating Semantic and Structural Cues for Profit-Oriented Repository-Level Code Completion
Learning Latent Representations for Image Translation using Frequency Distributed CycleGAN
Time, Chance, and Action
Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs
Scalable contribution bounding to achieve privacy
Linear Correlation in LM's Compositional Generalization and Hallucination
Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning
Evaluating the Electrification of Vehicle Fleets Using the Veins Framework
LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology
Simple vertex coloring algorithms
A jury evaluation theorem
Physarum Inspired Dynamics to Solve Semi-Definite Programs
IT Project Governance in Project Delivery: Key Processes, Activities, Roles and Responsibilities
A Condition for Cooperation in a Game on Complex Networks
Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning
A Generic and Executable Formalization of Signature-Based Gröbner Basis Algorithms
Optimal estimation for Large-Eddy Simulation of turbulence and application to the analysis of subgrid models
The current state of automated negotiation theory: a literature review
Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends
On product, generic and random generic quantum satisfiability
CSGaze: Context-aware Social Gaze Prediction
Finding (and exploiting) vulnerabilities on IP Cameras: the Tenda CP3 case study
Mining Target-Oriented Fuzzy Correlation Rules to Optimize Telecom Service Management
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution
Referenced Publication Year Spectroscopy (RPYS) and Algorithmic Historiography: The Bibliometric Reconstruction of András Schubert's Œuvre
Few-shot Adaptation of Medical Vision-Language Models
Recursion, Probability, Convolution and Classification for Computations
PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory
Leaders should not be conformists in evolutionary social dilemmas
MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow Matching
Tractable Epistemic Reasoning with Functional Fluents, Static Causal Laws and Postdiction
Fast Neural Network Approach for Direct Covariant Forces Prediction in Complex Multi-Element Extended Systems
ManiTrend: Bridging Future Generation and Action Prediction with 3D Flow for Robotic Manipulation
Closed-loop Identification of a MSW Grate Incinerator using Bayesian Optimization for Selecting Model Inputs and Structure
Computing H-infinity Norms of Time-Delay Systems
A Hierarchical Deep Learning Natural Language Parser for Fashion
Advancing Wildlife Monitoring: Drone-Based Sampling for Roe Deer Density Estimation
Optimal Design of Electric Machine with Efficient Handling of Constraints and Surrogate Assistance
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images
A New Innovation Concept on End user Contextual and Behavioural Perspectives
Self-composable Programming
Position Paper: Beyond Robustness Against Single Attack Types
Good Illumination of Minimum Range
Optimal Time-Convex Hull under the Lp Metrics
On kernel-based statistical learning in the mean field limit
Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators
On the Evaluation of Video Keyframe Summaries using User Ground Truth
Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification
Evidence-based Prescriptive Analytics, CAUSAL Digital Twin and a Learning Estimation Algorithm
Online Tool and Task learning via Human Robot Interaction
Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks
DistriFS: A Platform and User Agnostic Approach to File Distribution
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text
Monte Carlo Sampling for Analyzing In-Context Examples
Revolutionizing student course selection: Exploring the application prospects and challenges of blockchain token voting technology
Using Hoare logic for quantum circuit optimization
Joint Robotic Aerial Base Station Deployment and Wireless Backhauling in 6G Multi-hop Networks
When is a container a comonad?
Natural Language Interface for Firewall Configuration
BBK: a simpler, faster algorithm for enumerating maximal bicliques in large sparse bipartite graphs
Lightweight Security Protocol for WiSense based Wireless Sensor Network
Helly numbers of acyclic families
Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Bolt: Clothing Virtual Characters at Scale
META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification
A Method to Model Conditional Distributions with Normalizing Flows
Synthesis of Low-Power Digital Circuits Derived from Binary Decision Diagrams
Continuum Deformation of a Multiple Quadcopter Payload Delivery Team without Inter-Agent Communication
Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis
Enhancing Graph Neural Networks: A Mutual Learning Approach
Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization
The Transform-o-meter: A method to forecast the transformative impact of innovation
Interfacing with history: Curating with audio augmented objects
MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing
Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering
On Complementation of Nondeterministic Finite Automata without Full Determinization (Technical Report)
Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
Design and Performance Analysis of a Class of Generalized Predictive Controllers
Automated Audio Captioning with Epochal Difficult Captions for Curriculum Learning
Accurate analysis of the pitch pulse-based magnitude/phase structure of natural vowels and assessment of three lightweight time/frequency voicing restoration methods
Automatic Scansion of Spanish Poetry without Syllabification
Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks
Differentially-Private Heat and Electricity Markets Coordination
Improving dermatology classifiers across populations using images generated by large diffusion models
Geolocation-Aware Robust Spoken Language Identification
Subgraph Frequencies: Mapping the Empirical and Extremal Geography of Large Graph Collections
Compositional Equivalence with actor attributes: Positional analysis of the the Florentine Families network
Neural Network Classifier as Mutual Information Evaluator
ImAiR : Airwriting Recognition framework using Image Representation of IMU Signals
Increasing the Speed of Polar List Decoders
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation
Vmem: A Lightweight Hot-Upgradable Memory Management for In-production Cloud Environment
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI
Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems
Formalized Conceptual Spaces with a Geometric Representation of Correlations
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs
DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response
Univalent Foundations and the UniMath Library
Toward Simulating Environments in Reinforcement Learning Based Recommendations
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
SAT-based Formal Fault-Resistance Verification of Cryptographic Circuits
Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning
Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models
Transcoders Find Interpretable LLM Feature Circuits
Incremental Object Detection with CLIP
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
Can you tell a face from a HEVC bitstream?
Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments
Hex-Mesh Generation and Processing: a Survey
BEAMERS: Brain-Engaged, Active Music-based Emotion Regulation System
Fast algorithms for ell-adic towers over finite fields
COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments
Improving Electricity Market Economy via Closed-Loop Predict-and-Optimize
Window Stacking Meta-Models for Clinical EEG Classification
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems
An Enhanced Large Language Model For Cross Modal Query Understanding System Using DL-KeyBERT Based CAZSSCL-MPGPT
Network structural origin of instabilities in large complex systems
F3-Net: Foundation Model for Full Abnormality Segmentation of Medical Images with Flexible Input Modality Requirement
Unsupervised Deep Learning Image Verification Method
Economic MPC using a Cyclic Horizon with Application to Networked Control Systems
Moment-Preserving and Mesh-Adaptive Reweighting Method for Rare-Event Sampling in Monte-Carlo Algorithms
How Truncating Weights Improves Reasoning in Language Models
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM
A CNN-based tool for automatic tongue contour tracking in ultrasound images
An Algebra of Properties of Binary Relations
Recursive deep learning framework for forecasting the decadal world economic outlook
The categorical contours of the Chomsky-Schützenberger representation theorem
Empirically Classifying Network Mechanisms
Patent Figure Classification using Large Vision-language Models
Topology Partitioning-based Self-Organized Localization in Indoor WSNs with Unknown Obstacles
Energy-consistent dynamic fracture phase field models: unilateral constraints and finite element simulations
Small-GAN: Speeding Up GAN Training Using Core-sets
Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment
Optimizing Code Embeddings and ML Classifiers for Python Source Code Vulnerability Detection
IPv6 and IPv4 Threat reviews with Automatic Tunneling and Configuration Tunneling Considerations Transitional Model:A Case Study for University of Mysore Network
A Method For Eliminating Contour Errors In Self-Encoder Reconstructed Images
ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models
Differential Bayesian Neural Nets
Adversarial Segmentation Loss for Sketch Colorization
Continuous K-Max Bandits
Social Diffusion Sources Can Escape Detection
Evolving Real-Time Heuristics Search Algorithms with Building Blocks
Self-healing Dilemmas in Distributed Systems: Fault-correction vs. Fault-tolerance
Evolving Dictionary Representation for Few-shot Class-incremental Learning
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
The Impact of Critique on LLM-Based Model Generation from Natural Language: The Case of Activity Diagrams
On deep holes of generalized projective Reed-Solomon codes
An analysis of vaccine-related sentiments from development to deployment of COVID-19 vaccines
Back to the Future: Knowledge Distillation for Human Action Anticipation
Optimized Bucket Wheel Design for Asteroid Excavation
A Systematic Literature Review on the Use of Machine Learning in Software Engineering
Towards Robust Curve Text Detection with Conditional Spatial Expansion
Ubiquitous Mobile Health Monitoring System for Elderly (UMHMSE)
Game Manipulators - the Strategic Implications of Binding Contracts
Repetitions in infinite palindrome-rich words
Semi-Robust Communications over a Broadcast Channel