yusuke1997/dblp-id-title huggingface dataset:
Spiking-DD: Neuromorphic Event Camera based Driver Distraction Detection with Spiking Neural Network
Logic Bug Detection and Localization Using Symbolic Quick Error Detection
Proposal of a Carsharing System to Improve Urban Mobility
A Foundation Chemical Language Model for Comprehensive Fragment-Based Drug Discovery
DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration
DDPM based X-ray Image Synthesizer
A Review of the Energy Efficient and Secure Multicast Routing Protocols for Mobile Ad hoc Networks
The fundamental solution of a 1D evolution equation with a sign changing diffusion coefficient
S 2 -Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models
Adversarial Robustness of Visual Dialog
CNN training with graph-based sample preselection: application to handwritten character recognition
Evolutionary Game and Learning for Dynamic Spectrum Access
Enriched Galerkin Discretization for Modeling Poroelasticity and Permeability Alteration in Heterogeneous Porous Media
Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure
Face Detection Using a 3D Model on Face Keypoints
GPU-acceleration of parallel unconditionally stable group explicit finite difference method
Design and Optimization of EV Charging Infrastructure with Battery in Commercial Buildings
Mao: Machine learning approach for NUMA optimization in Warehouse Scale Computers
Costate Convergence with Legendre-Lobatto Collocation for Trajectory Optimization
Learning with Latent Structures in Natural Language Processing: A Survey
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
A Simpler Scaling Algorithm for Weighted Matching in General Graphs
GeoSEE: Regional Socio-Economic Estimation With a Large Language Model
On the Informativeness of Measurements in Shiryaev's Bayesian Quickest Change Detection
Experimental features of emissions and fuel consumption in a car-following platoon
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions
Beacon, a lightweight deep reinforcement learning benchmark library for flow control
Fast Single-Core K-Nearest Neighbor Graph Computation
SneakPeek: Future-Guided Instructional Streaming Video Generation
Effective Differential Lüroth's Theorem
SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection
Oracle-Efficient Learning and Auction Design
Edge-Caching Wireless Networks: Energy-Efficient Design and Optimization
Towards the Unmanned Aerial Vehicle Traffic Management Systems (UTMs): Security Risks and Challenges
When geometry meets optimization theory: partially orthogonal tensors
End-to-end Interpretable Neural Motion Planner
Location Augmentation for CNN
Proof of Trusted Execution: A Consensus Paradigm for Deterministic Blockchain Finality
Nonideality-aware training makes memristive networks more robust to adversarial attacks
LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models
Post-Quantum Hybrid Digital Signatures with Hardware-Support for Digital Twins
Random Projections and Dimension Reduction
Improved Distributed Approximation to Maximum Independent Set
Axiomatisation of constraint systems to specify a tableaux calculus modulo theories
Towards Microstructural State Variables in Materials Systems
SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge
Deep Learning for Prominence Detection in Children's Read Speech
Server component installation and testing of the university information and educational environment on the Moodle LMS platform
Does Burrows' Delta really confirm that Rowling and Galbraith are the same author?
Multi-task Learning for Monocular Depth and Defocus Estimations with Real Images
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games
Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems
Revisiting Syllables in Language Modelling and their Application on Low-Resource Machine Translation
Augmenting Replay in World Models for Continual Reinforcement Learning
Standard Probabilistic Databases
Pinco: Position-induced Consistent Adapter for Diffusion Transformer in Foreground-conditioned Inpainting
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers
FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
RISE-T2V: Rephrasing and Injecting Semantics with LLM for Expansive Text-to-Video Generation
Incremental Versus Optimized Network Design
The HCI Aspects of Public Deployment of Research Chatbots: A User Study, Design Recommendations, and Open Challenges
Steering Graph Neural Networks with Pinning Control
HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
Platoon Coordination and Leader Selection in Mixed Transportation Systems via Dynamic Programming
A Survey on Formal Methods for Workflow-Based Web Service Composition
Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification
Collisions of uniformly distributed identifiers with an application to MAC address anonymization
Perceptually Constrained Adversarial Attacks
Gaussian-Process-Based Dynamic Embedding for Textual Networks
A Comprehensive Comparison between Neural Style Transfer and Universal Style Transfer
Predicting Autonomous Vehicle Collision Injury Severity Levels for Ethical Decision Making and Path Planning
Learning the Non-linearity in Convolutional Neural Networks
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
An Extensive Evaluation of PDDL Capabilities in off-the-shelf LLMs
A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022
Network Internet-communications as an instrument of marketing
Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future
Application and Assessment of the Divide-and-Conquer method on some Integer Optimization Problems
Hamiltonian regularisation of shallow water equations with uneven bottom
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition
Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency
Comparing privacy notions for protection against reconstruction attacks in machine learning
Momentum-based Gradient Methods in Multi-objective Recommender Systems
FPGA Implementation of a Reconfigurable Viterbi Decoder for WiMAX Receiver
Multicriteria Steiner Tree Problem for Communication Network
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information
Translating declarative control elements to imperative using 'l-value redefinition graphs'
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
PlaceIt3D: Language-Guided Object Placement in Real 3D Scenes
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results
Trust and distrust in electoral technologies: what can we learn from the failure of electronic voting in the Netherlands (2006/07)
Network attack detection at flow level
Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems
Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
A robust Khintchine inequality, and algorithms for computing optimal constants in Fourier analysis and high-dimensional geometry
Temporal Entailment Pretraining for Clinical Language Models over EHR Data
A case study : Influence of Dimension Reduction on regression trees-based Algorithms -Predicting Aeronautics Loads of a Derivative Aircraft
Finite element algorithms for nonlocal minimal graphs
Data Heterogeneity and Forgotten Labels in Split Federated Learning
Resolving Distributed Knowledge
Spacetime codes of Clifford circuits
On the Bursty Evolution of Online Social Networks
On the Capacity of Face Representation
A parametric Bayesian level set approach for acoustic source identification using multiple frequency information
Latent Boundary-guided Adversarial Training
Concurrent computing machines and physical space-time
A Socio-Technical approach to address the Information security: Using the 27001 Manager Artefact
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
Joint Moment Retrieval and Highlight Detection Via Natural Language Queries
Linear-time Algorithm for Partial Representation Extension of Interval Graphs
A simple algorithm to find the L-curve corner in the regularization of inverse problems
Queue-based Resampling for Online Class Imbalance Learning
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning
Extending Defensive Distillation
Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS
Attention Forcing for Sequence-to-sequence Model Training
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks
Finite-time enclosing control for multiple moving targets: a continuous estimator approach
Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior
Learning Semantic Ambiguities for Zero-Shot Learning
Data Transmission based on Exact Inverse Periodic Nonlinear Fourier Transform, Part I: Theory
Neuro-Vesicles: Neuromodulation Should Be a Dynamical System, Not a Tensor Decoration
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Empowering LLM to use Smartphone for Intelligent Task Automation
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
Standardized Threat Taxonomy for AI Security, Governance, and Regulatory Compliance
Normal type-2 Fuzzy Rational B-Spline Curve
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and Beyond
Using Chinese Characters To Generate Text-Based Passwords For Information Security
Using ODE waveform-relaxation methods to efficiently include gap junctions in distributed neural network simulations
GeLLM 3 O: Generalizing Large Language Models for Multi-property Molecule Optimization
Foundational Inference Models for Dynamical Systems
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Hierarchical Vector-Quantized Latents for Perceptual Low-Resolution Video Compression
On the effects of firing memory in the dynamics of conjunctive networks
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks
Geometric Principles for Machine Learning of Dynamical Systems
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding
A DirectX-Based DICOM Viewer for Multi-User Surgical Planning in Augmented Reality
Short-time SSVEP data extension by a novel generative adversarial networks based framework
Using Machine Learning to predict extreme events in the Hénon map
Video (GIF) Sentiment Analysis using Large-Scale Mid-Level Ontology
Wasserstein-Aitchison GAN for angular measures of multivariate extremes
Impacts of Data Preprocessing and Hyperparameter Optimization on the Performance of Machine Learning Models Applied to Intrusion Detection Systems
Effectiveness Assessment of Cyber-Physical Systems
Rare Association Rule Mining for Network Intrusion Detection
Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data
System Description: H-PILoT (Version 1.9)
Einstien-Multidimensional Extrapolation methods
Finite size scaling approach to dynamic storage allocation problem
Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code
Efficient Perceptual Image Super Resolution: AIM 2025 Study and Benchmark
Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments
Clover: an Anonymous Transaction Relay Protocol for the Bitcoin P2P Network
Symbolic Synthesis of Clifford Circuits and Beyond
GHz Rate Neuromorphic Photonic Spiking Neural Network with a Single Vertical-Cavity Surface-Emitting Laser (VCSEL)
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
A new edge betweenness measure using a game theoretical approach: an application to hierarchical community detection
Fourier Analysis and q-Gaussian Functions: Analytical and Numerical Results
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
Multi-hypothesis classifier
Fed-urlBERT: Client-side Lightweight Federated Transformers for URL Threat Analysis
A Domain Specific Approach to Heterogeneous Computing: From Availability to Accessibility
One-Shot Learning for Language Modelling
Inducing Efficient and Equitable Professional Networks through Link Recommendations
Improving Take-over Situation by Active Communication
Mobile IMUs Reveal Driver's Identity From Vehicle Turns
Collaborative XRTactics: A Formative Study on Tactical Communication in Outdoor Team Sports
On the Impact of Entity Linking in Microblog Real-Time Filtering
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction
On Lockean beliefs that are deductively closed and minimal change
LWRP: Low Power Consumption Weighting Replacement Policy using Buffer Memory
Divide and Conquer Local Average Regression
Experimental assessment of polynomial nonlinear state-space and nonlinear-mode models for near-resonant vibrations
LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models
Performance Analysis of Connection Admission Control Scheme in IEEE 802.16 OFDMA Networks
DeepDelveAI: Identifying AI Related Documents in Large Scale Literature Data
Generative Adversarial Networks for Malware Detection: a Survey
VSD2M: A Large-scale Vision-language Sticker Dataset for Multi-frame Animated Sticker Generation
The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place
Edge Correlations in Multilayer Networks
Multi-generational labour markets: data-driven discovery of multi-perspective system parameters using machine learning
Curriculum Abductive Learning
ZeBROD: Zero-Retraining Based Recognition and Object Detection Framework
A Study on Recent Approaches in Handling DDoS Attacks
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Current Limitations of Language Models: What You Need is Retrieval
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms
Contracting Experts With Unknown Cost Structures
Segment Routing: a Comprehensive Survey of Research Activities, Standardization Efforts and Implementation Results
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks
On interval edge-colorings of bipartite graphs of small order
Perfectly Clustering Words and Iterated Palindromes over a Ternary Alphabet
Structural Restricted Boltzmann Machine for image denoising and classification
Glance: Accelerating Diffusion Models with 1 Sample
Crowd Avoidance and Diversity in Socio-Economic Systems and Recommendation
Unitho: A Unified Multi-Task Framework for Computational Lithography
Common human diseases prediction using machine learning based on survey data
Open Source High Fidelity Modeling of a Type 5 Wind Turbine Drivetrain for Grid Integration
On asymptotic fairness in voting with greedy sampling
On the crucial impact of the coupling projector-backprojector in iterative tomographic reconstruction
Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests
Optimal offline virtual network embedding with rent-at-bulk aspects
A sampling-based approach to scalable constraint satisfaction in linear sampled-data systems - Part I: Computation
Machine Learning Algorithms for Detecting Mental Stress in College Students
Quantization and Compressive Sensing
Dependency Practices for Vulnerability Mitigation
Open Challenges on Generating Referring Expressions for Human-Robot Interaction
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
Polarization in networks
Verification of confliction and unreachability in rule-based expert systems with model checking
An efficient reduction strategy for signature-based algorithms to compute Groebner basis
Centralized and Decentralized Global Outer-synchronization of Asymmetric Recurrent Time-varying Neural Network by Data-sampling
A Unifying Analysis of Projected Gradient Descent for $ell_p$-constrained Least Squares
Instance-Level Composed Image Retrieval
Potential Benefits of Employing Large Language Models in Research in Moral Education and Development
LAP: An Attention-Based Module for Faithful Interpretation and Knowledge Injection in Convolutional Neural Networks
Structural Properties of Search Trees with 2-way Comparisons
Investigating Deletion in Wikipedia
WeChat uptake of Chinese scholarly journals: an analysis of CSSCI-indexed journals
Unsupervised Automatic Speech Recognition: A Review
Full Large-Scale Diversity Space Codes for MIMO Optical Wireless Communications
Scaling Studies for Efficient Parameter Search and Parallelism for Large Language Model Pre-training
Bipartite unique-neighbour expanders via Ramanujan graphs
Unsupervised Neural Multi-document Abstractive Summarization
The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Works
A micromechanics-enhanced finite element formulation for modelling heterogeneous materials
VocalNet: Speech LLM with Multi-Token Prediction for Faster and High-Quality Generation
Increasing Trust in AI Services through Supplier's Declarations of Conformity
Locally recoverable codes from algebraic curves and surfaces
Using Abstract Tangible Proxy Objects for Interaction in Optical See-through Augmented Reality
Machine Learning for Indoor Localization Using Mobile Phone-Based Sensors
Quantum enhancement of randomness distribution
Recoloring via modular decomposition
CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks
Decentralized shape formation and force-based interactive formation control in robot swarms
Fast integral equation methods for linear and semilinear heat equations in moving domains
Atmospheric model-trained machine learning selection and classification of ultracool TY dwarfs
(Non-)existence of Polynomial Kernels for the Test Cover Problem
Learning Chemical Reaction Representation with Reactant-Product Alignment
HL-IK: A Lightweight Implementation of Human-Like Inverse Kinematics in Humanoid Arms
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency
Considering Human Aspects on Strategies for Designing and Managing Distributed Human Computation
Causal Testing: Finding Defects' Root Causes
Team dynamics during the delivery of a large-scale, engineered system
Testing Hypotheses by Regularized Maximum Mean Discrepancy
Efficient Resource Oblivious Algorithms for Multicores
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
Covariant-Contravariant Refinement Modal μ-calculus
Submodularity of a Set Label Disagreement Function
Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
Evolutionary Innovation Viewed as Novel Physical Phenomena and Hierarchical Systems Building
Cross-Dataset Generalization For Retinal Lesions Segmentation
Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing
OSINT or BULLSHINT? Exploring Open-Source Intelligence tweets about the Russo-Ukrainian War
ColorEcosystem: Powering Personalized, Standardized, and Trustworthy Agentic Service in massive-agent Ecosystem
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
Image is First-order Norm+Linear Autoregressive
The Skipping Behavior of Users of Music Streaming Services and its Relation to Musical Structure
Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation
A Categorical Semantics for Bounded Petri Nets
Video Depth Propagation
Transportation Scenario Planning with Graph Neural Networks
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model
Spatial Channel State Information Prediction with Generative AI: Towards Holographic Communication and Digital Radio Twin
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information
The Cumulative Distribution Transform and Linear Pattern Classification
Lessons Learned from the Real-world Deployment of a Connected Vehicle Testbed
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition
PDF Steganography based on Chinese Remainder Theorem
Cooperative Tx/Rx Caching in Interference Channels: A Storage-Latency Tradeoff Study
Automated Importance Sampling via Optimal Control for Stochastic Reaction Networks: A Markovian Projection-based Approach
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
Underwater Acoustic Networks: Channel Models and Network Coding based Lower Bound to Transmission Power for Multicast
From Game-theoretic Multi-agent Log Linear Learning to Reinforcement Learning
PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning
Learning 3D-Gaussian Simulators from RGB Videos
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
Black-Box Verification for GUI Applications
YOLoC: DeploY Large-Scale Neural Network by ROM-based Computing-in-Memory using ResiduaL Branch on a Chip
An analysis of load-balancing algorithms on edge-Markovian evolving graphs
Bots, elections, and social media: a brief overview
TCEP: Transitions in Operator Placement to Adapt to Dynamic Network Environments
Automated Information Extraction from Thyroid Operation Narrative: A Comparative Study of GPT-4 and Fine-tuned KoELECTRA
Reconstruction of Missing Big Sensor Data
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts
I-FailSense: Towards General Robotic Failure Detection with Vision-Language Models