yusuke1997/dblp-id-title huggingface dataset:
Audio-Visual Speech Separation via Bottleneck Iterative Network
Cryptocat: Adopting Accessibility and Ease of Use as Security Properties
Graph Sparsifications using Neural Network Assisted Monte Carlo Tree Search
Soft edit distance for differentiable comparison of symbolic sequences
Beyond COVID-19 Pandemic: Topology-aware optimisation of vaccination strategy for minimising virus spreading
Aligning Moments in Time using Video Queries
Multi-layer Random Walks Synchronization for Multi-attributed Multiple Graph Matching
Attacks Meet Interpretability (AmI) Evaluation and Findings
Vulnerability Analysis of Time Synchronization in Automotive Ethernet
Efficient Collaborative Navigation through Perception Fusion for Multi-Robots in Unknown Environments
Security Assurance Cases for Road Vehicles: an Industry Perspective
Weight Spectrum of Quasi-Perfect Binary Codes with Distance 4
BRIEF: BRain-Inspired network connection search with Extensive temporal feature Fusion enhances disease classification
Quantifying Long-term Scientific Impact
Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network
On irredundant orthogonal arrays
Lower and Upper Conditioning in Quantum Bayesian Theory
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data
Cascade RCNN for MIDOG Challenge
An Abstract Monte-Carlo Method for the Analysis of Probabilistic Programs
Swarm-in-Blocks: Simplifying Drone Swarm Programming with Block-Based Language
Efficient Deep Learning-based Estimation of the Vital Signs on Smartphones
On Separation, Randomness and Linearity for Network Codes over Finite Fields
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection
Patterns and Pathways: Applying Social Network Analysis to Understand User Behavior in the Tourism Industry Websites
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record
STONet: A novel neural operator for modeling solute transport in micro-cracked reservoirs
Efficient Reversible Data Hiding Algorithms Based on Dual Prediction
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning
An Innovative Approach for online Meta Search Engine Optimization
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
Mitigating Social Bias in English and Urdu Language Models Using PRM-Guided Candidate Selection and Sequential Refinement
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering
SRM at 30: Lessons from Early Data-Centric Networking and Their Impact on Named Data Networking
Image Super-Resolution with Text Prompt Diffusion
Hidden Synergy: L 1 Weight Normalization and 1-Path-Norm Regularization
ORES-Inspect: A technology probe for machine learning audits on enwiki
Data Sharing for Mean Estimation Among Heterogeneous Strategic Agents
Exploiting Correlation in Finite-Armed Structured Bandits
Using World Models for Pseudo-Rehearsal in Continual Learning
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network
Towards Reliable and Interpretable Traffic Crash Pattern Prediction and Safety Interventions Using Customized Large Language Models
Software Reuse in Cardiology Related Medical Database Using K-Means Clustering Technique
What is wrong with scene text recognition model comparisons? dataset and model analysis
Adaptive Serverless Learning
Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
Task Diversity Shortens the ICL Plateau
FaceVR: Real-Time Facial Reenactment and Eye Gaze Control in Virtual Reality
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation
A 2D Nearest-Neighbor Quantum Architecture for Factoring
Electrostatics-based particle sampling and approximate inference
Learning strides in convolutional neural networks
A Framework on GPON and next generation WDM PON
Complexity results for matching cut problems in graphs without long induced paths
Comparison of different convolutional neural network activation functions and methods for building ensembles
H-EYE: Holistic Resource Modeling and Management for Diversely Scaled Edge-Cloud Systems
COTAR: An Accurate, Cost-Effective Cooperative Wireless Localization Strategy for Mobile Nodes
Enhancing Malware Fingerprinting through Analysis of Evasive Techniques
Distributed Deterministic Edge Coloring using Bounded Neighborhood Independence
Using ResNet to Utilize 4-class T2-FLAIR Slice Classification Based on the Cholinergic Pathways Hyperintensities Scale for Pathological Aging
Market-based vs. Price-based Microgrid Optimal Scheduling
NIMO: a Nonlinear Interpretable MOdel
An Approach of Replicating Multi-Staged Cyber-Attacks and Countermeasures in a Smart Grid Co-Simulation Environment
On the effect of different samplings to the solution of parametric PDE Eigenvalue Problems
ReviewQA: a relational aspect-based opinion reading dataset
Adaptable Deep Joint Source-and-Channel Coding for Small Satellite Applications
Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits
Evaluation of Decentralized Event-Triggered Control Strategies for Cyber-Physical Systems
On the Generalized Degrees of Freedom of the K-user Symmetric MIMO Gaussian Interference Channel
Random density matrices: analytical results for mean root fidelity and mean square Bures distance
Deciphering the Blockchain: A Comprehensive Analysis of Bitcoin's Evolution, Adoption, and Future Implications
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
Analysis of Off-Policy n -Step TD-Learning with Linear Function Approximation
Hardware accelerated protein inference framework
Collaborative AI in Sentiment Analysis: System Architecture, Data Prediction and Deployment Strategies
On the method of likelihood-induced priors
SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Model
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds
From Generative to Episodic: Sample-Efficient Replicable Reinforcement Learning
Tackling the Kidnapped Robot Problem via Sparse Feasible Hypothesis Sampling and Reliable Batched Multi-Stage Inference
Factor Graph Neural Network
Bayesian Optimization in AlphaGo
Map-based Millimeter-Wave Channel Models: An Overview, Guidelines, and Data
Lightweight CycleGAN Models for Cross-Modality Image Transformation and Experimental Quality Assessment in Fluorescence Microscopy
A Survey on Integration of Large Language Models with Intelligent Robots
Regularity estimate and sparse approximation of pathwise robust Duncan-Mortensen-Zakai equation
Investigating Assumptions and Proposals for Blockchain Integration in the Circular Economy. A Delphi Study
Closed-Loop Wireless Power Transfer with Adaptive Waveform and Beamforming: Design, Prototype, and Experiment
Approximation of BEM matrices using GPGPUs
Towards The Creation Of The Future Fish Farm
On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity
Evolving Tsukamoto Neuro Fuzzy Model for Multiclass Covid 19 Classification with Chest X Ray Images
DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data
KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative Documents
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus
A Message Passing Algorithm for the Problem of Path Packing in Graphs
A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom
Development of a Vertex Finding Algorithm using Recurrent Neural Network
Optimal Robust Exact Differentiation via Linear Adaptive Techniques
A ROS multi-ontology references services: OWL reasoners and application prototyping issues
Learning Multi-Scale Representations for Material Classification
Generalized Reed-Muller codes over Galois rings
Optimal control of a commercial building's thermostatic load for off-peak demand response
Hierarchical RNN for Information Extraction from Lawsuit Documents
Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios
Active Learning for Machine Learning Driven Molecular Dynamics
A Non-invasive Technique to Detect Authentic/Counterfeit SRAM Chips
Gray Learning from Non-IID Data with Out-of-distribution Samples
Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping
Neural Normalized Compression Distance and the Disconnect Between Compression and Classification
Soft Actor-Critic with Cross-Entropy Policy Optimization
A "well-balanced" finite volume scheme for blood flow simulation
Quantize-then-Rectify: Efficient VQ-VAE Training
Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias
A Novel Scheme for Coded Caching with Coded Placement in Small Memory Regime
Modeling Image Tone Dichotomy with the Power Function
QuOTE: Question-Oriented Text Embeddings
Fourth order compact scheme for the Navier-Stokes equations on time deformable domains
GCPO: When Contrast Fails, Go Gold
Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models
A TCSP-like decidable constraint language generalising existing cardinal direction relations
Certification of the QR factor R, and of lattice basis reducedness
Machine Learning for Urban Air Quality Analytics: A Survey
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition
Helper-Friendly Latency-Bounded Mitigation Strategies against Reactive Jamming Adversaries
Applying Agile Requirements Engineering Approach for Re-engineering & Changes in existing Brownfield Adaptive Systems
Security for Emerging Miniaturized Wireless Biomedical Devices: Threat Modeling with Application to Case Studies
Encryption Mechanism And Resource Allocation Optimization Based On Edge Computing Environment
SD-WAN Internet Census
Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint
Acoustic Field Reconstruction in Tubes via Physics-Informed Neural Networks
The Complexity of Dependency Detection and Discovery in Relational Databases
An algorithm to estimate the vertices of a tetrahedron with uniform random points inside
Fast Ecoding/Decoding Algorithms for Reed-Solomon Erasure Codes
CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning
COMPOSER: Compositional Learning of Group Activity in Videos
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning
Interpreting and Mitigating Unwanted Uncertainty in LLMs
QUICker connection establishment with out-of-band validation tokens
Dual regularized Laplacian spectral clustering methods on community detection
Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review
Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities
Counterfactual Causality from First Principles?
Higher-order Graph Attention Network for Stock Selection with Joint Analysis
Forward Learning for Gradient-based Black-box Saliency Map Generation
Are LLMs Good Cryptic Crossword Solvers?
A Physics Informed Neural Network For Deriving MHD State Vectors From Global Active Regions Observations
FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach
LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability
Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving
STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach - A Case Study on Science Domains
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
VeriFix: Verifying Your Fix Towards An Atomicity Violation
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing
Measures of correlation and mixtures of product measures
A Hybrid Approach for Depression Classification: Random Forest-ANN Ensemble on Motor Activity Signals
Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
Universal groups of cellular automata
Cyber Resilience of Three-phase Unbalanced Distribution System Restoration under Sparse Adversarial Attack on Load Forecasting
The Effect of Interference in Vehicular Communications on Safety Factors
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives
Population Monotonicity in Matching Games
Polynomial-delay Enumeration Algorithms in Set Systems
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
On the Quadratic Programming Solution for Model Predictive Control with Move Blocking
The Impact of Run-Time Variability on Side-Channel Attacks Targeting FPGAs
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models
Exploration methods for simulation models
Supervised Laplacian Eigenmaps with Applications in Clinical Diagnostics for Pediatric Cardiology
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding
ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting
FastEagle: Cascaded Drafting for Accelerating Speculative Decoding
Data leakage in cross-modal retrieval training: A case study
Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Network Inference from a Link-Traced Sample using Approximate Bayesian Computation
Adversarially Robust Training through Structured Gradient Regularization
Penambahan emosi menggunakan metode manipulasi prosodi untuk sistem text to speech bahasa Indonesia
A Program Logic to Verify Signal Temporal Logic Specifications of Hybrid Systems: Extended Technical Report
Attending Category Disentangled Global Context for Image Classification
A Scalable Data-Driven Technique for Joint Evacuation Routing and Scheduling Problems
Inexact IETI-DP for conforming isogeometric multi-patch discretizations
MiAD: Mirage Atom Diffusion for De Novo Crystal Generation
Outline Colorization through Tandem Adversarial Networks
The counting house: measuring those who count. Presence of Bibliometrics, Scientometrics, Informetrics, Webometrics and Altmetrics in the Google Scholar Citations, ResearcherID, ResearchGate, Mendeley & Twitter
On Prediction-Based Properties of Discrete-Event Systems: Notions, Applications and Supervisor Synthesis
Robust Steganography Using LSB-XOR and Image Sharing
Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning
Explainable AI for Malnutrition Risk Prediction from m-Health and Clinical Data
An Overview of Transmission Theory and Techniques of Large-scale Antenna Systems for 5G Wireless Communications
A Hybrid Compositional Reasoning Approach for Interactive Robot Manipulation
Learning Optimal Advantage from Preferences and Mistaking it for Reward
Shortest paths in the Tower of Hanoi graph and finite automata
Computer-Supported Collaborative Learning in Software Engineering Education: A Systematic Mapping Study
Silentflow: Leveraging Trusted Execution for Resource-Limited MPC via Hardware-Algorithm Co-design
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning
Cooperative Asynchronous Non-Orthogonal Multiple Access with Power Minimization Under QoS Constraints
Towards Ranking-based Semantics for Abstract Argumentation using Conditional Logic Semantics
I3D: Transformer architectures with input-dependent dynamic depth for speech recognition
PP-DocBee: Improving Multimodal Document Understanding Through a Bag of Tricks
Learning the Market: Sentiment-Based Ensemble Trading Agents
A Sequential Decision-Making Model for Perimeter Identification
CAPM: Fast and Robust Verification on Maxpool-based CNN via Dual Network
A note on solid modeling: history, state of the art, future
BIQ2021: A Large-Scale Blind Image Quality Assessment Database
Automatic Detection and Resolution of Software Merge Conflicts: Are We There Yet?
Cyclotomy of Weil Sums of Binomials
Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features
Summary on The Multilingual Conversational Speech Language Model Challenge: Datasets, Tasks, Baselines, and Methods
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification
Federated Sinkhorn
On Octonary Codes and their Covering Radii
Access to care: analysis of the geographical distribution of healthcare using Linked Open Data
Dynamic Transparent General Purpose Process Migration For Linux
Towards Live Video Analytics with On-Drone Deeper-yet-Compatible Compression
SynCPKL: Harnessing LLMs to Generate Synthetic Data for Commonsense Persona Knowledge Linking
On Finding Inconsistencies in Documents
A semantic network-based evolutionary algorithm for modeling memetic evolution and creativity
Finding Fullerene Patches in Polynomial Time I: Counting Hexagonal Patches
Discrete MMSE Precoding for Multiuser MIMO Systems with PSK Modulation
iMagLS: Interaural Level Difference with Magnitude Least-Squares Loss for Optimized First-Order Head-Related Transfer Function
Efficient CNN Inference on Ultra-Low-Power MCUs via Saturation-Aware Convolution
i-MARK: A New Subtraction Division Game
Deep Learning Calabi-Yau four folds with hybrid and recurrent neural network architectures
Algorithmic Advice as a Strategic Signal on Competitive Markets
Parallel transport on matrix manifolds and Exponential Action
Securing AI Systems: A Guide to Known Attacks and Impacts
The Convergence of Finite-Averaging of AIMD for Distributed Heterogeneous Resource Allocations
D-LEAF: Localizing and Correcting Hallucinations in Multimodal LLMs via Layer-to-head Attention Diagnostics
Proof of Schur's conjecture in ℝ d
TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity
An Overview and Solution for Democratizing AI Workflows at the Network Edge
Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future
Generation and Optimization of Test cases for Object-Oriented Software Using State Chart Diagram
Numerical Methods for a Diffusive Class Nonlocal Operators
An inferential procedure for community structure validation in networks
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
The complexity of the Bondage problem in planar graphs
Improving Pinwheel Density Bounds for Small Minimums
CS563-QA: A Collection for Evaluating Question Answering Systems
State Anti-windup: A New Methodology for Tackling State Constraints at Both Synthesis and Implementation Levels
Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data
Mitigating Semantic Collapse in Partially Relevant Video Retrieval
A Ternary Digital to Analog Converter with High Power Output and 170-dB Dynamic Range
Learning Multi-view Multi-class Anomaly Detection
Commutative N-polyregular functions
Semantics, Modelling, and the Problem of Representation of Meaning - a Brief Survey of Recent Literature
A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications
Label-Consistent Backdoor Attacks
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
ReLU activated Multi-Layer Neural Networks trained with Mixed Integer Linear Programs
Word2Minecraft: Generating 3D Game Levels through Large Language Models
Assessing the Impact of Virtualizing Physical Labs
TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Proceedings 6th International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT, SNR 2020, online, 31 August 2020
Assisted Common Information with Applications to Secure Two-Party Computation
High Resolution Solar Image Generation using Generative Adversarial Networks
Enhancement Report Approval Prediction: A Comparative Study of Large Language Models
Numerical Integrators for Mechanical Systems on Lie Groups
Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration
BigCarl: Mining frequent subnets from a single large Petri net
CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data
An accurate IoT Intrusion Detection Framework using Apache Spark
Decentralized Combinatorial Auctions for Multi-Unit Resource Allocation
Picturing Bivariate Separable-Features for Univariate Vector Magnitudes in Large-Magnitude-Range Quantum Physics Data
Automatic Weighted Matching Rectifying Rule Discovery for Data Repairing
Automatic code generation from sketches of mobile applications in end-user development using Deep Learning
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization
Investigation Toward The Economic Feasibility of Personalized Medicine For Healthcare Service Providers: The Case of Bladder Cancer
Minimum number of neurons in fully connected layers of a given neural network (the first approximation)
Securing AI Agents with Information-Flow Control
Knowledge Distillation for Oriented Object Detection on Aerial Images
PSO-Merging: Merging Models Based on Particle Swarm Optimization
Exploiting symmetries in SDP-relaxations for polynomial optimization
Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs
Process Reinforcement through Implicit Rewards
IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation
Design and Fabrication of the Suspended High-Q Spiral Inductors with X-Beams
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain
Beyond Frequency: Scoring-Driven Debiasing for Object Detection via Blueprint-Prompted Image Synthesis
Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
Transcendence of Sturmian Numbers over an Algebraic Base
Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods
Security of Cyber-Physical Systems. From Theory to Testbeds and Validation
Exploring the latent social space of COVID-19 Twitter elites
Explain Less, Understand More: Jargon Detection via Personalized Parameter-Efficient Fine-tuning
Cohet: A CXL-Driven Coherent Heterogeneous Computing Framework with Hardware-Calibrated Full-System Simulation
Learning Model-Based Vehicle-Relocation Decisions for Real-Time Ride-Sharing: Hybridizing Learning and Optimization
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation
How Growing Toxicity Manifests: A Topic Trajectory Analysis of U.S. Immigration Discourse on Social Media
VS-TransGRU: A Novel Transformer-GRU-based Framework Enhanced by Visual-Semantic Fusion for Egocentric Action Anticipation
Aerial Manipulation Using a Novel Unmanned Aerial Vehicle Cyber-Physical System
The Function of Gesture in an Architectural Design Meeting