yusuke1997/dblp-id-title huggingface dataset:
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data
Anonymity Network Tor and Performance Analysis of ARANEA; an IOT Based Privacy-Preserving Router
On computing distances and latencies in Link Streams
Security and Privacy Issues in Wireless Mesh Networks: A Survey
Learning to Estimate 3D Human Pose and Shape from a Single Color Image
Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs
Obstacle detection test in real-word traffic contexts for the purposes of motorcycle autonomous emergency braking (MAEB)
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains
Uplink Analysis of Large MU-MIMO Systems With Space-Constrained Arrays in Ricean Fading
First-Class Functions for First-Order Database Engines
Integration of RFID Applications in a Web B2B Platform for Enterprise Supply Networks
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy
Dense Policy: Bidirectional Autoregressive Learning of Actions
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts
Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data
Selecting Efficient Features via a Hyper-Heuristic Approach
When Does Regulation by Insurance Work? The Case of Frontier AI
Learning Efficient Image Representation for Person Re-Identification
Human-like generalization in a machine through predicate learning
A three-dimensional force estimation method for the cable-driven soft robot based on monocular images
A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries
Hybrid Team Tetris: A New Platform For Hybrid Multi-Agent, Multi-Human Teaming
On Convergence and Rate of Convergence of Policy Improvement Algorithms
Situation-aware Autonomous Driving Decision Making with Cooperative Perception on Demand
Convolutional Architecture Exploration for Action Recognition and Image Classification
Vulnerability Detection Using Two-Stage Deep Learning Models
Counteracting Concept Drift by Learning with Future Malware Predictions
Predicting Performances of Mutual Funds using Deep Learning and Ensemble Techniques
Digital Gatekeeping: An Audit of Search Engine Results shows tailoring of queries on the Israel-Palestine Conflict
Neural Network Layer Matrix Decomposition reveals Latent Manifold Encoding and Memory Capacity
Local Graph Clustering with Network Lasso
Modelling the Political Context in Requirements Engineering. The System is made for Man, not Man for the System
Can Proof Assistants Verify Multi-Agent Systems?
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
Orbits of monomials and factorization into products of linear forms
Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels
Duality of Multiple Root Loci
Predicting Code Review Completion Time in Modern Code Review
Doing More With Less: Mismatch-Based Risk-Limiting Audits
Erasure List-Decodable Codes from Random and Algebraic Geometry Codes
sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems
Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples
Hands-free teleoperation of a nearby manipulator through a virtual body-to-robot link
Rediscovering Korea's Ancient Skies: An Immersive, Interactive 3D Map of Traditional Korean Constellations in the Milky Way
Human in the AI loop via xAI and Active Learning for Visual Inspection
DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
Faster-than-Clifford Simulations of Entanglement Purification Circuits and Their Full-stack Optimization
Preventing Model Collapse via Contraction-Conditioned Neural Filters
Analysis of nonconforming IFE methods and a new scheme for elliptic interface problems
Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models
Network Detection Theory and Performance
Riemannian Multiclass Logistics Regression for SPD Neural Networks
A Blockchain-Enabled Framework of UAV Coordination for Post-Disaster Networks
Explicit 3-colorings for exponential graphs
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data Processing
Xpress: A System For Dynamic, Context-Aware Robot Facial Expressions using Language Models
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT
Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language
Distributed Consensus over Wireless Sensor Networks Affected by Multipath Fading
A Visual Analytic Environment to Co-locate Peoples' Tweets with City Factual Data
A Novel Spectrally Efficient Local Service Insertion Scheme With Universal Frequency Reuse
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank
Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling
ε * +: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles
Reasoning About Exceptional Behavior At the Level of Java Bytecode
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications
Error estimates of the cubic interpolated pseudo-particle scheme for one-dimensional advection equations
Multi-Step Greedy and Approximate Real Time Dynamic Programming
Wembedder: Wikidata entity embedding web service
Unsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades
High-Fidelity Differential-information Driven Binary Vision Transformer
Strongly-Linearizable Bags
Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk
Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval
Action Recognition for American Sign Language
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Real-time Optical Network Sensing Control Plane Enabled by a Novel Sub us Response Time Fibre Sensing Control Device
Passwords Are Meant to Be Secret: A Practical Secure Password Entry Channel for Web Browsers
A gradient-enhanced univariate dimension reduction method for uncertainty propagation
Rates of adaptive group testing in the linear regime
Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media
Stress and heat flux via automatic differentiation
CSI2Dig: Recovering Digit Content from Smartphone Loudspeakers Using Channel State Information
Approximation Algorithms for Hop Constrained and Buy-at-Bulk Network Design via Hop Constrained Oblivious Routing
Literal Encoding: Text is a first-class data encoding
Using GPT-4 Prompts to Determine Whether Articles Contain Functional Evidence Supporting or Refuting Variant Pathogenicity
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
Designing Dynamic Pricing for Bike-sharing Systems via Differentiable Agent-based Simulation
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
At Most 43 Moves, At Least 29: Optimal Strategies and Bounds for Ultimate Tic-Tac-Toe
MithraDetective: A System for Cherry-picked Trendlines Detection
Evaluation of Automatic FPGA Offloading for Loop Statements of Applications
Learning controllers from data via kernel-based interpolation
Mobile Multi-View Object Image Search
Quantifying Multimodal Imbalance: A GMM-Guided Adaptive Loss for Audio-Visual Learning
A citation index bridging Hirsch's h and Egghe's g
Combining Machine Learning with Recurrence Analysis for resonance detection
Rotation Averaging with Attention Graph Neural Networks
Bayesian Meta-Reasoning: Determining Model Adequacy from Within a Small World
Salient Region Detection and Segmentation in Images using Dynamic Mode Decomposition
Data-driven Control of Hypergraphs: Leveraging THIS to Damp Noise in Diffusive Hypergraphs
A New Perspective on Transformers in Online Reinforcement Learning for Continuous Control
Self-adaptive Multi-task Particle Swarm Optimization
Fully Sparse Long Range 3D Object Detection Using Range Experts and Multimodal Virtual Points
The Application of Non-Cooperative Stackelberg Game Theory in Behavioral Science: Social Optimality with any Number of Players
Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment
Discriminability objective for training descriptive captions
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers
Are Character-level Translations Worth the Wait? An Extensive Comparison of Character- and Subword-level Models for Machine Translation
Knowledge-augmented Deep Learning and Its Applications: A Survey
Antiferromagnetic spatial photonic Ising machine through optoelectronic correlation computing
Linear codes over a mixed-alphabet ring and their Gray images with applications to projective and locally repairable codes
Some Results on Bent-Negabent Boolean Functions over Finite Fields
The effect of synaptic weight initialization in feature-based successor representation learning
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
Logarithmic Space and Permutations
Technical Report: Attitude Synchronization in S 2
DETAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification
Research on the fast Fourier transform of image based on GPU
Hybrid-IoT: Hybrid Blockchain Architecture for Internet of Things - PoW Sub-blockchains
Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
The Rough Topology for Numerical Data
Classifying single-qubit noise using machine learning
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022
Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing
Generative Models for Low-Rank Video Representation and Reconstruction
A data set of aerial imagery from robotics simulator for map-based localization systems benchmark
CBE Clima Tool: a free and open-source web application for climate analysis tailored to sustainable building design
Collision Induced Binding and Transport of Shape Changing Robot Pairs
From Panels to Prose: Generating Literary Narratives from Comics
Problems in number theory from busy beaver competition
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing
How are research data referenced? The use case of the research data repository RADAR
On Threshold Models over Finite Networks
Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges
Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure
Efficient Training of Physics-Informed Neural Networks with Direct Grid Refinement Algorithm
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization
Improved Visual Localization via Graph Smoothing
Random Access for Machine-Type Communication based on Bloom Filtering
Enhancing Diffusion Model Guidance through Calibration and Regularization
A Survey on Algorithmic Developments in Optimal Transport Problem with Applications
Corecursive Coding of High Computational Derivatives and Power Series
A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text
S2O: An Integrated Driving Decision-making Performance Evaluation Method Bridging Subjective Feeling to Objective Evaluation
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment
Key Technologies for Networked Virtual Environments: A new taxonomy
Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
Statistical Sign Language Machine Translation: from English written text to American Sign Language Gloss
Recent Advances in OOD Detection: Problems and Approaches
A Scheduling-Aware Defense Against Prefetching-Based Side-Channel Attacks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Too Global To Be Local: Swarm Consensus in Adversarial Settings
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space
Two-message verification of quantum computation
On the representation of non-holonomic power series
Cheeger-type approximation for sparsest $st$-cut
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression
Computing diffraction anomalies as nonlinear eigenvalue problems
People counting system for retail analytics using edge AI
LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration
Causal Structure Learning Supervised by Large Language Model
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
Some theoretical results on discrete contour trees
The smooth output assumption, and why deep networks are better than wide ones
Relevance for Stability of Verification Status of a Set of Arguments in Incomplete Argumentation Frameworks (with Proofs)
SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference
How to Compute Modulo Prime-Power Sums
Multimodal and Crossmodal AI for Smart Data Analysis
A Subclass of Mu-Calculus with the Freeze Quantifier Equivalent to Buchi Register Automata
The Effects of Relative Importance of User Constraints in Cloud of Things Resource Discovery: A Case Study
Sample Efficient Imitation Learning via Reward Function Trained in Advance
On Making Directed Graphs Eulerian
Two-Dimensional Freeform Reflector Design with a Scattering Surface
Automata and automata mappings of semigroups
Glocal Smoothness: Line Search can really help!
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys
Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
Decoherence in Search Algorithms
Unraveling the Age Estimation Puzzle: Comparative Analysis of Deep Learning Approaches for Facial Age Estimation
How the deprecation of Java applets affected online visualization frameworks - a case study
Component Programming and Interoperability in Constraint Solver Design
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data
Greedy methods, randomization approaches and multi-arm bandit algorithms for efficient sparsity-constrained optimization
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction
Like What You Like: Knowledge Distill via Neuron Selectivity Transfer
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction
Machine learning in front of statistical methods for prediction spread SARS-CoV-2 in Colombia
Is the Frequency Principle always valid?
Discovery of skill switching criteria for learning agile quadruped locomotion
Cross-speaker style transfer for text-to-speech using data augmentation
Lateral Tree-of-Thoughts Surpasses ToT by Incorporating Logically-Consistent, Low-Utility Candidates
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation
Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm
Anderson acceleration with adaptive relaxation for convergent fixed-point iterations
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI
Reply to Comments on Neuroelectrodynamics: Where are the Real Conceptual Pitfalls?
Mutual Clustering on Comparative Texts via Heterogeneous Information Networks
Quantum Acceleration of Infinite Horizon Average-Reward Reinforcement Learning
Resilience of Dynamic Overlays through Local Interactions
Predictability states in human mobility
Machine Common Sense
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
Cardiac Arrhythmia Detection using Artificial Neural Network
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips
How to Manipulate CNNs to Make Them Lie: the GradCAM Case
Computational Pattern Making from 3D Garment Models
On the Relationship Between the Multi-antenna Secrecy Communications and Cognitive Radio Communications
Grouped Speculative Decoding for Autoregressive Image Generation
Can LLMs predict the convergence of Stochastic Gradient Descent?
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation
Smart Grids Co-Simulations: Survey & Research Directions
Agint: Agentic Graph Compilation for Software Engineering Agents
Computing Execution Times with eXecution Decision Diagrams in the Presence of Out-Of-Order Resources
Orthogonal Emptiness Queries for Random Points
AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning
Temporal Unet: Sample Level Human Action Recognition using WiFi
Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction
A COCO-Formatted Instance-Level Dataset for Plasmodium Falciparum Detection in Giemsa-Stained Blood Smears
A simple construction of cover-free (s, ℓ)-code with certain constant weight
Lightweight Object Detection Using Quantized YOLOv4-Tiny for Emergency Response in Aerial Imagery
Why Larp?! A Synthesis Paper on Live Action Roleplay in Relation to HCI Research and Practice
Direct Bias-Correction Term Estimation for Propensity Scores and Average Treatment Effect Estimation
Large-scale full-programmable quantum walk and its applications
From NEA and NIA to NESAS and SCAS: Demystifying the 5G Security Ecosystem
Slow Tuning and Low-Entropy Masking for Safe Chain-of-Thought Distillation
Markerless visual servoing on unknown objects for humanoid robot platforms
On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-enabled Non-Terrestrial Networks
Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning
Domain Confusion with Self Ensembling for Unsupervised Adaptation
Equivariant flow-based sampling for lattice gauge theory
Deep ReLU Network Expression Rates for Option Prices in high-dimensional, exponential Lévy models
Multilevel Method for Thermal Radiative Transfer Problems with Method of Long Characteristics for the Boltzmann Transport Equation
Subspace Learning for Personalized Federated Optimization
High-density and Secure Data Transmission via Linear Combinations
Study to achieve environment adaptive software
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
Payload-Aware Intrusion Detection with CMAE and Large Language Models
Numerical Association Rule Mining: A Systematic Literature Review
Gautschi-type and implicit-explicit integrators for constrained wave equations
Pre-Sorted Tsetlin Machine (The Genetic K-Medoid Method)
New Menger-like dualities in digraphs and applications to half-integral linkages
MDF-MLLM: Deep Fusion Through Cross-Modal Feature Alignment for Contextually Aware Fundoscopic Image Classification
Well-balanced high-order method for non-conservative hyperbolic PDEs with source terms: application to one-dimensional blood flow equations with gravity
An Intelligent Pixel Replication Technique by Binary Decomposition for Digital Image Zooming
EcoAgent: An Efficient Edge-Cloud Collaborative Multi-Agent Framework for Mobile Automation
Dictionary-based Online-adaptive Structure-preserving Model Order Reduction for Parametric Hamiltonian Systems
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models
Mitigating Multi-Sequence 3D Prostate MRI Data Scarcity through Domain Adaptation using Locally-Trained Latent Diffusion Models for Prostate Cancer Detection
Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment
Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling
Radar Perception in Autonomous Driving: Exploring Different Data Representations
IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications
Dense Hopfield Networks in the Teacher-Student Setting
Sets, the Axiom of Choice, And All That: A Tutorial
Role of ICT Innovation in Perpetuating the Myth of Techno-Solutionism
Pricing, Competition, and Routing for Selfish and Strategic Nodes in Multi-hop Relay Networks
Improving Transparency of Deep Neural Inference Process
Enabling Incremental Training with Forward Pass for Edge Devices
MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
Uncertainty-Aware Active Source Tracking of Marine Pollution using Unmanned Surface Vehicles
Quantitative analysis of the co-publications of Ukrainian scientists with the Nobel laureates 1994-2018 in Science
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity
Effects of Plasticity Functions on Neural Assemblies
Numerical Representations of Acceptance
A systematic review of recent air source heat pump (ASHP) systems assisted by solar thermal, photovoltaic and photovoltaic/thermal sources
Scalable Proof Producing Multi-Threaded SAT Solving with Gimsatul through Sharing instead of Copying Clauses
Open Image Content Disarm And Reconstruction
Batch weight for domain adaptation with mass shift
Word reuse and combination support efficient communication of emerging concepts
Persistence and Success in the Attention Economy
Co-Me: Confidence-Guided Token Merging for Visual Geometric Transformers
Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text
Linking Use Cases and Associated Requirements: A Replicated Eye Tracking Study on the Impact of Linking Variants on Reading Behavior
A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications
Detecting Covert Cryptomining using HPC
A Novel Metric Approach Evaluation For The Spatial Enhancement Of Pan-Sharpened Images
RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis
Pairwise Feedback for Data Programming
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
A Statistical Learning Approach to Mediterranean Cyclones
Deep reinforcement learning oriented for real world dynamic scenarios
Bezier curves based on Lupas (p, q)-analogue of Bernstein polynomials in CAGD
Enumeration degrees and non-metrizable topology
Reinforcement Learning for Jump-Diffusions