yusuke1997/dblp-id-title huggingface dataset:
You Only Submit One Image to Find the Most Suitable Generative Model
Modeling Concurrency and Reconfiguration in Vehicular Systems: A $π$-calculus Approach
A Topic-Attentive Transformer-based Model For Multimodal Depression Detection
Do androids dream of fictional references? A bibliographic dialogue with ChatGPT3.5
A Minimal Model for Emergent Collective Behaviors in Autonomous Robotic Multi-Agent Systems
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems
The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata
Morphset: Augmenting categorical emotion datasets with dimensional affect labels using face morphing
Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors
Towards Richer Challenge Problems for Scientific Computing Correctness
Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data
AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs
The Entropy Gain of Linear Time-Invariant Filters and Some of its Implications
Hierarchy Selection: New team ranking indicators for cyclist multi-stage races
Mergeable Summaries With Low Total Error
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Random relay selection based heuristic optimization model for the scheduling and effective resource allocation in the cognitive radio network
Tensor-Parallelism with Partially Synchronized Activations
Handle-based Mesh Deformation Guided By Vision Language Model
Tree-Based Grafting Approach for Bidirectional Motion Planning with Local Subsets Optimization
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Semidefinite Programming by Projective Cutting Planes
Swarm robotics and complex behaviour of continuum material
SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting
A Survey of Software Reliability Models
Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations
Designing Virtual Reality Games for Grief: A Workshop Approach with Mental Health Professionals
Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic
An assistive HCI system based on block scanning objects using eye blinks
Optimal Resilience in Systems that Mix Shared Memory and Message Passing
Usable Speech Assignment for Speaker Identification under Co-Channel Situation
High Speed Human Action Recognition using a Photonic Reservoir Computer
An Enumeration of the Equivalence Classes of Self-Dual Matrix Codes
Voltage Inference for and Coordination of Distributed Voltage Controls in Extremely-High DER-Penetration Distribution Networks
Energy-Aware CPU Orchestration in O-RAN: A dApp-Driven Lightweight Approach
Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models
Cross-Sensor Iris Recognition: LG4000-to-LG2200 Comparison
Chameleon: Adaptive Caching and Scheduling for Many-Adapter LLM Inference Environments
Decentralized dynamic task allocation for UAVs with limited communication range
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification
Building Interpretable Climate Emulators for Economics
The Need for Medically Aware Video Compression in Gastroenterology
Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler
Approximate Nearest Neighbor Search in ℓ p
Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter
GPS Denied IBVS-Based Navigation and Collision Avoidance of UAV Using a Low-Cost RGB Camera
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
Proposal for Improving Google A2A Protocol: Safeguarding Sensitive Data in Multi-Agent Systems
Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Generalized Measures of Information Transfer
Iterative collaborative routing among equivariant capsules for transformation-robust capsule networks
Improved Swarm Engineering: Aligning Intuition and Analysis
Accurate synthesis of Dysarthric Speech for ASR data augmentation
Textual Prompt Guided Image Restoration
Realtime Hierarchical Clustering based on Boundary and Surface Statistics
Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software?
Efficient multi-descriptor fusion for non-intrusive appliance recognition
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
Examining Lower Latency Routing with Overlay Networks
DisentangleFormer: Spatial-Channel Decoupling for Multi-Channel Vision
Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias
Catastrophic Overfitting, Entropy Gap and Participation Ratio: A Noiseless l p Norm Solution for Fast Adversarial Training
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement
Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks
Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration
Detecting Drivable Area for Self-driving Cars: An Unsupervised Approach
On Propositional Program Equivalence (extended abstract)
Stratified economic exchange on networks
Probabilistic Dynamic Line Rating Forecasting with Line Graph Convolutional LSTM
A quantitative method for determining the robustness of complex networks
MergeBERT: Program Merge Conflict Resolution via Neural Transformers
Robust Inertial-aided Underwater Localization and Navigation based on Imaging Sonar Keyframes
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
t-SOT FNT: Streaming Multi-talker ASR with Text-only Domain Adaptation Capability
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Accelerating and enhancing thermodynamic simulations of electrochemical interfaces
Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment
Analysis of Media Writing Style Bias through Text-Embedding Networks
Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
Mutually-Aware Feature Learning for Few-Shot Object Counting
Point Cloud Compression and Objective Quality Assessment: A Survey
Vehicle management in a modular production context using Deep Q-Learning
Scalabale Path Level Thermal History Simulation of PBF process validated by Melt Pool Images
Hercules: A Compiler for Productive Programming of Heterogeneous Systems
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
PICKT: Practical Interlinked Concept Knowledge Tracing for Personalized Learning using Knowledge Map Concept Relations
Multimodal Information Fusion for Glaucoma and DR Classification
A comparison between central- and self-dispatch storage management principles in island systems
Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI
Learning Approximation Sets for Exploratory Queries
Learning from Single Timestamps: Complexity Estimation in Laparoscopic Cholecystectomy
CTNN: Corticothalamic-inspired neural network
Quantum Dynamics of Optimization Problems
Traffic Congestion in Expanders, $(p,δ)$--Hyperbolic Spaces and Product of Trees
Bangla-Bayanno: A 52K-Pair Bengali Visual Question Answering Dataset with LLM-Assisted Translation Refinement
Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion Framework
Great Expectations: Unsupervised Inference of Suspense, Surprise and Salience in Storytelling
An Indoor Localization Dataset and Data Collection Framework with High Precision Position Annotation
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
Synthesis of a simple self-stabilizing system
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
A Reliability-based Framework for Multi-path Routing Analysis in Mobile Ad-Hoc Networks
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts
From Tokens to Nodes: Semantic-Guided Motion Control for Dynamic 3D Gaussian Splatting
RuCoCo: a new Russian corpus with coreference annotation
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
Power Aware Visual Sensor Network for Wildlife Habitat Monitoring
DERMARK: A Dynamic, Efficient and Robust Multi-bit Watermark for Large Language Models
Choosing an algorithmic fairness metric for an online marketplace: Detecting and quantifying algorithmic bias on LinkedIn
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
Modeling Sustainable City Trips: Integrating CO2 Emissions, Popularity, and Seasonality into Tourism Recommender Systems
Few-shot Quality-Diversity Optimisation
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents
SoftPUF: a Software-Based Blockchain Framework using PUF and Machine Learning
Improving Energy Efficiency of Massive MIMO Relay Systems using Power Bisection Allocation for Cell-Edge Users
Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
MS-BioGraphs: Sequence Similarity Graph Datasets
Peripherality in networks: theory and applications
Maximizing the Smallest Eigenvalue of Grounded Laplacian Matrix
Analysis of Linear Consensus Algorithm on Strongly Connected Graph Using Effective Resistance
Adversarial Attack in the Context of Self-driving
Modelling Control Arguments via Cooperation Logic in Unforeseen Scenarios
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories
A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation
Customizable LLM-Powered Chatbot for Behavioral Science Research
UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis
A Simple Algorithm for Maximum Margin Classification, Revisited
Explicit Calibration of mmWave Phased Arrays with Phase Dependent Errors
Unsupervised stratification of patients with myocardial infarction based on imaging and in-silico biomarkers
Multi-stage Object Detection with Group Recursive Learning
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Weak Ties Explain Open Source Innovation
Rare dense solutions clusters in asymmetric binary perceptrons - local entropy via fully lifted RDT
Which products activate a product? An explainable machine learning approach
Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity
ViStripformer: A Token-Efficient Transformer for Versatile Video Restoration
Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective
Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation
Engineering Delta Modeling Languages
A Local Perspective on the Polynomial Hierarchy
ParamΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Active IRS Aided WPCNs: A New Paradigm Towards Higher Efficiency and Wider Coverage
Sorting-based Interactive Regret Minimization
Markerless Human Motion Capture for Gait Analysis
Proof Hints for Event-B
Relationship Oriented Affordance Learning through Manipulation Graph Construction
Citations versus journal impact factor as proxy of quality: Could the latter ever be preferable?
fairml: A Statistician's Take on Fair Machine Learning Modelling
TiS-TSL: Image-Label Supervised Surgical Video Stereo Matching via Time-Switchable Teacher-Student Learning
Online Social Media in the Syria Conflict: Encompassing the Extremes and the In-Betweens
A Compilation Framework for Quantum Circuits with Mid-Circuit Measurement Error Awareness
Inferring Signaling Pathways with Probabilistic Programming
An SDN-IoT-based Framework for Future Smart Cities: Addressing Perspective
Understanding the hardness of approximate query processing with joins
On Abelian Group Representability of Finite Groups
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
On entropy Marton-type inequalities and small symmetric differences with cosets of abelian groups
Diagnosing and Debiasing Corpus-Based Political Bias and Insults in GPT2
Informed and Assessable Observability Design Decisions in Cloud-native Microservice Applications
Unveiling A Core Linguistic Region in Large Language Models
An adaptive filter bank based neural network approach for time delay estimation and speech enhancement
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation
Quantifying and Visualizing Vascular Branching Geometry with Micro-CT: Normalization of Intra- and Inter-Specimen Variations
Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio
Audio Visual Speaker Localization from EgoCentric Views
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI
Coherent transceiver architecture enabling data transmission and optical identification
AURA: Natural Language Reasoning for Aleatoric Uncertainty in Rationales
Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks
TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems
Elastica: A compliant mechanics environment for soft robotic control
A Low-Complexity Improved Successive Cancellation Decoder for Polar Codes
Dynamic Temporal Reconciliation by Reinforcement learning
From String Detection to Orthogonal Vector Problem
Implementation of MPPT Technique of Solar Module with Supervised Machine Learning
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations
Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System
Mr. Plotter: Unifying Data Reduction Techniques in Storage and Visualization Systems
JobRecoGPT - Explainable job recommendations using LLMs
Change Point Detection with Copula Entropy based Two-Sample Test
A Strongly Consistent Sparse k-means Clustering with Direct l 1 Penalization on Variable Weights
Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential
An Analysis of the Methods Employed for Breast Cancer Diagnosis
Formalizing Computational Paths and Fundamental Groups in Lean
SE4Lip: Speech-Lip Encoder for Talking Head Synthesis to Solve Phoneme-Viseme Alignment Ambiguity
Self-Averaging Expectation Propagation
Botnet Campaign Detection on Twitter
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions
Typed Feature Structures as Descriptions
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval
Data-driven localized waves and parameter discovery in the massive Thirring model via extended physics-informed neural networks with interface zones
WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis
Microblog Analysis as a Programme of Work
Game-Theoretic Learning-Based Mitigation of Insider Threats
Iterative methods for signal reconstruction on graphs
Analysis of cloud storage prices
The domino problem of the hyperbolic plane is undecidable, new proof
Multiple Network Alignment on Quantum Computers
Multi-Language Image Description with Neural Sequence Models
A Verification Methodology for Safety Assurance of Robotic Autonomous Systems
Testing interval arithmetic libraries, including their IEEE-1788 compliance
Automatic Modulation Recognition of PSK Signals with Sub-Nyquist Sampling Based on High Order Statistics
MokA: Multimodal Low-Rank Adaptation for MLLMs
Model Predictive Path Integral Control of I2RIS Robot Using RBF Identifier and Extended Kalman Filter
A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks
High-Speed Voltage Control in Active Distribution Systems with Smart Inverter Coordination and Deep Reinforcement Learning
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks
Binarized octree generation for Cartesian adaptive mesh refinement around immersed geometries
Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
Polar Coding for Parallel Gaussian Channel
Using Monte Carlo method for searching partitionings of hard variants of Boolean satisfiability problem
First-order logic with self-reference
GridEmail: A Case for Economically Regulated Internet-based Interpersonal Communications
I CAN HAS SUPERCOMPUTER? A Novel Approach to Teaching Parallel and Distributed Computing Concepts Using a Meme-Based Programming Language
On the Complexity of Robust Bilevel Optimization With Uncertain Follower's Objective
A Defeasible Deontic Calculus for Resolving Norm Conflicts
Synaptic Metaplasticity in Binarized Neural Networks
Improved underwater image enhancement algorithms based on partial differential equations (PDEs)
Unified Multimodal Discrete Diffusion
TADRN: Triple-Attentive Dual-Recurrent Network for Ad-hoc Array Multichannel Speech Enhancement
Dynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classification
Group Relative Attention Guidance for Image Editing
Computing k-mers in Graphs
Statistical Analysis of Privacy and Anonymity Guarantees in Randomized Security Protocol Implementations
Spatio-activity based object detection
Development of the user-friendly decision aid Rule-based Evaluation and Support Tool (REST) for optimizing the resources of an information extraction task
Gray Jedi MVDR Post-filtering
An Approximation Algorithm for Monotone Submodular Cost Allocation
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
Editorial: Statistical Mechanics and Social Sciences
Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Unary Patterns of Size Four with Morphic Permutations
Active Long Term Memory Networks
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
Bené: On Demand Cost-Effective Scaling at the Edge
Towards Enforcing Company Policy Adherence in Agentic Workflows
Pick and Place Planning is Better than Pick Planning then Place Planning
Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction
Approximation and Heuristic Algorithms for Computing Backbones in Asymmetric Ad-Hoc Networks
New formulas for Stirling-like numbers and Dobinski-like formulas
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction
EmbedGrad: Gradient-Based Prompt Optimization in Embedding Space for Large Language Models
3D Human Mesh Estimation from Single View RGBD
FT-GCR: a fault-tolerant generalized conjugate residual elliptic solver
Minimalist Grammar: Construction without Overgeneration
Granular Ball Twin Support Vector Machine with Universum Data
Beyond visual P300 based brain-computer interfacing paradigms
A General Homogeneous Matrix Formulation to 3D Rotation Geometric Transformations
Efficient Multiple-Recursive Matrix Method for Generating Pseudorandom Vectors
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Universality and scaling laws in interdependent networks: The healing model and the case of finite range interdependency
SD-EQR: A New Technique To Use QR CodesTM in Cryptography
GMM-ResNext: Combining Generative and Discriminative Models for Speaker Verification
Improving Neural Network with Uniform Sparse Connectivity
Multiagent MST Cover: Pleasing All Optimally via A Simple Voting Rule
VR with Older Adults: Participatory Design of a Virtual ATM Training Simulation
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
Active Sidestick Control Integration for Enhanced Aircraft Flight Envelope Protection
Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image Enhancement
Understanding Legged Crawling for Soft-Robotics
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams
Adaptive Trajectory Bundle Method for Roll-to-Roll Manufacturing Systems
Wav2Vec2.0 on the Edge: Performance Evaluation
Kinesthetic Learning - Haptic User Interfaces for Gyroscopic Precession Simulation
Reduced-Feedback Opportunistic Scheduling and Beamforming with GMD for MIMO-OFDMA
Inverse folding for antibody sequence design using deep learning
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion
The Butterfly Effect: Correlations Between Modeling in Nuclear-Particle Physics and Socioeconomic Factors
From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
Distributed quantum computing with black-box subroutines
Spatially-Coupled Random Access on Graphs
Cyber Risk Assessment for Capital Management
Exploring the Effects of Load Altering Attacks on Load Frequency Control through Python and RTDS
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation
From "I have nothing to hide" to "It looks like stalking": Measuring Americans' Level of Comfort with Individual Mobility Features Extracted from Location Data
FarsiMCQGen: a Persian Multiple-choice Question Generation Framework
Approaching Metaheuristic Deep Learning Combos for Automated Data Mining
Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
Approximate Nearest Neighbors in the Space of Persistence Diagrams
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
The Quest for Development: When Social Media-Brokered Political Power Encounters Political 'Flak Jackets'
SafeCiM: Investigating Resilience of Hybrid Floating-Point Compute-in-Memory Deep Learning Accelerators
Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques
Accounting for hidden common causes when inferring cause and effect from observational data
Pattern-Based Constraint Satisfaction and Logic Puzzles
Efficient and scalable atmospheric dynamics simulations using non-conforming meshes
Koopman-inspired Implicit Backward Reachable Sets for Unknown Nonlinear Systems
Hi-Reco: High-Fidelity Real-Time Conversational Digital Humans
Precise Apple Detection and Localization in Orchards using YOLOv5 for Robotic Harvesting Systems
Compositional Design of Safety Controllers for Large-scale Stochastic Hybrid Systems