yusuke1997/dblp-id-title huggingface dataset:
Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market
Some Analytics for Steiner Minimal Tree Problem for Four Terminals
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Characterizing and Predicting the Robustness of Power-law Networks
Batched Lipschitz Bandits
On the Feasibility of Specialized Ability Extracting for Large Language Code Models
The Other Mind: How Language Models Exhibit Human Temporal Cognition
Optimization-friendly generic mechanisms without money
Improving Test Automation Maturity: a Multivocal Literature Review
Beyond Manuals and Tasks: Instance-Level Context Learning for LLM Agents
Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams
Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation
Editorial: Special Issue on Collaborative Aspects of Open Data in Software EngineeringJohan
Learning Constrained Markov Decision Processes With Non-stationary Rewards and Constraints
Linear Model Predictive Control for Quadrotors with An Analytically Derived Koopman Model
The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settings
Smoothed Model Checking for Uncertain Continuous Time Markov Chains
From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning
Optimal and Robust Fault Tolerant Control of Wind Turbines Working under Sensor, Actuator, and System Faults
On Provable Length and Compositional Generalization
On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions
Multi-Modal Manipulation via Multi-Modal Policy Consensus
Liveness of Heap Data for Functional Programs
Interference Alignment via Message-Passing
Beyond the Badge: Reproducibility Engineering as a Lifetime Skill
Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach
Trainability of Dissipative Perceptron-Based Quantum Neural Networks
Symbolic Knowledge Extraction using Łukasiewicz Logics
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control
Multi-Cell, Multi-Channel URLLC with Probabilistic Per-Packet Real-Time Guarantee
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting
Plug-and-Play Clarifier: A Zero-Shot Multimodal Framework for Egocentric Intent Disambiguation
Towards Robust Data-Driven Automated Recovery of Symbolic Conservation Laws from Limited Data
Universality of Logarithmic Coding for Neurons
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
The Anderson-Weber strategy is not optimal for symmetric rendezvous search on K4
Backprompting: Leveraging Synthetic Production Data for Health Advice Guardrails
Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup
Learning the String Partial Order
Spatial-Spectral Feedback Network for Super-Resolution of Hyperspectral Imagery
A unified framework on the original energy laws of three effective classes of Runge-Kutta methods for phase field crystal type models
BlastOFormer: Attention and Neural Operator Deep Learning Methods for Explosive Blast Prediction
An Uplink Interference Analysis for Massive MIMO Systems with MRC and ZF Receivers
SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection
Consistency constraints for overlapping data clustering
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation
Linear-Programming Receivers
SGW-based Multi-Task Learning in Vision Tasks
Unsupervised Query Routing for Retrieval Augmented Generation
Generalized Quasi-Cyclic Codes Over 𝔽 q +u𝔽 q
A generalizable approach based on U-Net model for automatic Intra retinal cyst segmentation in SD-OCT images
A Vision and An Evolutionary Framework for 6G: Scenarios, Capabilities and Enablers
Convergence efficiency of quantum gates and circuits
VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
Learning Fair Representations with High-Confidence Guarantees
A Vision-Language Model for Focal Liver Lesion Classification
Concurrent diffusion of information and behaviors in online social networks - a case study of the Ice Bucket Challenge
Topic Modeling the Hàn diăn Ancient Classics
Kaiser and Raspaud conjecture on cubic Graphs with few vertices
Advancing Fluid Antenna-Assisted Non-Terrestrial Networks in 6G and Beyond: Fundamentals, State of the Art, and Future Directions
Prediction with Unpredictable Feature Evolution
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model
Inference of Gas-liquid Flowrate using Neural Networks
Design and Evaluation of an Augmented Reality Head-Mounted Display Interface for Human Robot Teams Collaborating in Physically Shared Manufacturing Tasks
In the Face (book) of Social Learning
Multi-modality Anomaly Segmentation on the Road
Real-Time Lightweight Chaotic Encryption for 5G IoT Enabled Lip-Reading Driven Secure Hearing-Aid
Constraints on the search space of argumentation
HOSIG: Full-Body Human-Object-Scene Interaction Generation with Hierarchical Scene Perception
Multi-Task Model Merging via Adaptive Weight Disentanglement
Robust treatment of cross points in Optimized Schwarz Methods
Radial Prediction Layer
Data efficient deep learning for medical image analysis: A survey
Sparse Expansion and Neuronal Disentanglement
Cooperative Spectrum Sharing Between D2D Users and Edge-Users: A Matching Theory Perspective
Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique
TCP over 3G links: Problems and Solutions
EmotionCaps: Enhancing Audio Captioning Through Emotion-Augmented Data Generation
Fictitious Play via Finite Differences for Mean Field Games with Optimal Stopping
Towards Loosely-Coupled Programming on Petascale Systems
Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method
Contextual Information Retrieval based on Algorithmic Information Theory and Statistical Outlier Detection
Gender Classification Using Gradient Direction Pattern
Statistical Inferences of Linear Forms for Noisy Matrix Completion
Score-based Transport Modeling for Mean-Field Fokker-Planck Equations
Energy Efficient Scheduling for Grouped M2M Communications over Cellular Networks
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization
Assessment of SE-specific Sentiment Analysis Tools: An Extended Replication Study
Talking to Data Visualizations: Opportunities and Challenges
Assessing GPT Performance in a Proof-Based University-Level Course Under Blind Grading
Analysing the SEDs of protoplanetary disks with machine learning
LuxBank: The First Universal Dependency Treebank for Luxembourgish
Knowledge-Aware Conversation Derailment Forecasting Using Graph Convolutional Networks
A Secure Database System using Homomorphic Encryption Schemes
DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation
Outage Behaviors of NOMA-based Satellite Network over Shadowed-Rician Fading Channels
Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation
Distributed Weight Balancing in Directed Topologies
A second-order correction method for loosely coupled discretizations applied to parabolic-parabolic interface problems
Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound
Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition
Robin: A Web Security Tool
Multi-scale Spectrum Sensing in 5G Cognitive Networks
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation
Quantum computing and the brain: quantum nets, dessins d'enfants and neural networks
Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures
Learning Discriminative Features using Encoder-Decoder type Deep Neural Nets
An Integrating Comprehensive Trajectory Prediction with Risk Potential Field Method for Autonomous Driving
3D Human Pose and Shape Estimation via HybrIK-Transformer
Cognition without neurons: modelling anticipation in a basal reservoir computer
Idiomatic and Reproducible Software Builds using Containers for Reliable Computing
SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion
Representating groups on graphs
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability
The Irrational Machine: Neurosis and the Limits of Algorithmic Safety
Multi-modal preference alignment remedies regression of visual instruction tuning on language model
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
On Energy Cooperation in Energy Harvesting Underlay Cognitive Radio Network
Goals and the Structure of Experience
BDEC: Brain Deep Embedded Clustering model
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression
Insights into Cognitive Engagement: Comparing the Effectiveness of Game-Based and Video-Based Learning
Paths and Intersections: Exact Emulators for Planar Graphs
Segment Any Mesh: Zero-shot Mesh Part Segmentation via Lifting Segment Anything 2 to 3D
Efficient Recruitment Strategy for Collaborative Mobile Crowd Sensing Based on GCN Trustworthiness Prediction
Anomaly detection and motif discovery in symbolic representations of time series
PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection
Risk of AI in Healthcare: A Comprehensive Literature Review and Study Framework
Defining Locality for Surrogates in Post-hoc Interpretablity
A High Order Compact Finite Difference Scheme for Elliptic Interface Problems with Discontinuous and High-Contrast Coefficients
Image/Video Deep Anomaly Detection: A Survey
Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models
TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking
Optimal Operation of a Tidal Lagoon as a Flexible Source of Electricity
OPEB: Open Physical Environment Benchmark for Artificial Intelligence
Construction of a Function Using a Fibonacci Numeration System
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models
DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow
Clap: a Rust eDSL for PlonKish Proof Systems with a Semantics-preserving Optimizing Compiler
Bounding Procedures for Stochastic Dynamic Programs with Application to the Perimeter Patrol Problem
Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo
Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams
Neural-Network-Augmented Projection-Based Model Order Reduction for Mitigating the Kolmogorov Barrier to Reducibility of CFD Models
A Single-Step Non-Autoregressive Automatic Speech Recognition Architecture with High Accuracy and Inference Speed
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder
Awareness and usage of SWAYAM course among library and information science students a survey
Library and Information Science Research in Indian Universities: Growth, Core Journals, Keywords and Collaboration Patterns
Investigating Gender Bias in Turkish Language Models
Deep Lake: a Lakehouse for Deep Learning
E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework
A stochastic perturbation approach to nonlinear bifurcating problems
Automatically Creating Design Models from 3D Anthropometry Data
Asymptotic analysis of Hoppe trees
Enumerating all the Irreducible Polynomials over Finite Field
Clustering Algorithm to Detect Adversaries in Federated Learning
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
Vision-Dialog Navigation by Exploring Cross-modal Memory
Fast and Accurate k-means++ via Rejection Sampling
Performance of High Mobility MIMO Communications with Doppler Diversity
YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
Temporal Encoding Strategies for Energy Time Series Prediction
State complexity of catenation combined with boolean operations
The Schwarz alternating method for the seamless coupling of nonlinear reduced order models and full order models
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data
Performance Analysis of Linear Algebraic Functions using Reconfigurable Computing
Introducing Systems Thinking as a Framework for Teaching and Assessing Threat Modeling Competency
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
Machine learning methods for Schlieren imaging of a plasma channel in tenuous atomic vapor
The spatial computer: A model for energy-efficient parallel computation
Rank Inspired Neural Network for solving linear partial differential equations
An Interesting Uncertainty-Based Combinatoric Problem in Spare Parts Forecasting: The FRED System
Speak Like a Dog: Human to Non-human creature Voice Conversion
A Study of the Context(s) in a Specific Type of Texts: Car Accident Reports
One for all and all for one: on the role of a conference in life of scientist
Guess & Check Codes for Deletions and Synchronization
Ultrafast carbon nanotube photodetectors with a zero bias bandwidth over 30 GHz
Tensorial logic with colours and higher-order model checking
Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo
Edge of stability echo state networks
Mathematical analysis of the spreading of a rumor among different subgroups of spreaders
Fault-Tolerant Control for System Availability and Continuous Operation in Heavy-Duty Wheeled Mobile Robots
PARROT: Persuasion and Agreement Robustness Rating of Output Truth - A Sycophancy Robustness Benchmark for LLMs
M-MRE: Extending the Mutual Reinforcement Effect to Multimodal Information Extraction
Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
Lattices of Logical Fragments over Words
Saddlepoints in Unsupervised Least Squares
The role of taste affinity in agent-based models for social recommendation
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications
Warping Resilient Time Series Embeddings
Uniform-in-time error estimate of random batch method with replacement for the Cucker-Smale model
Continuous Petri Nets for Fast Yield Computation: Polynomial-Time and MILP Approaches
"hasSignification()": une nouvelle fonction de distance pour soutenir la détection de données personnelles
Better Together: Resnet-50 accuracy with $13x$ fewer parameters and at $3x$ speed
Feature Selection and Model Comparison on Microsoft Learning-to-Rank Data Sets
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity
Investigation of compressor cascade flow based on physics-informed neural networks
Relative position in binary substitutions
Finetuning Randomized Heuristic Search For 2D Path Planning: Finding The Best Input Parameters For R* Algorithm Through Series Of Experiments
On components of a Kerdock code and the dual of the BCH code C 1, 3
Balls into Bins: strict Capacities and Edge Weights
Link Biased Strategies in Network Formation Games
K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function
BSF-skeleton: user manual
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models
A Fast Semi-Analytical Approach for Transient Electromigration Analysis of Interconnect Trees using Matrix Exponential
A Hybrid Observer for Estimating the State of a Distributed Linear System
"Kurosawa": A Script Writer's Assistant
Learning Feature Interactions With and Without Specifications
A Unified View of Large-scale Zero-sum Equilibrium Computation
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
A Third Paradigm for LLM Evaluation: Dialogue Game-Based Evaluation using clembench
VECT-GAN: A variationally encoded generative model for overcoming data scarcity in pharmaceutical science
Performance improvement of an optical network providing services based on multicast
How incomputable is Kolmogorov complexity?
Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
Cascading map-side joins over HBase for scalable join processing
Learning Grouped Convolution for Efficient Domain Adaptation
Simple Iterative Incompressible Smoothed Particle Hydrodynamics
Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems
Beyond knowing that: a new generation of epistemic logics
Differential Privacy Releasing of Hierarchical Origin/Destination Data with a TopDown Approach
Data-Efficient Approach to Humanoid Control via Fine-Tuning a Pre-Trained GPT on Action Data
A Numerical Investigation of Matrix-Free Implicit Time-Stepping Methods for Large CFD Simulations
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Out-of-Order Dataflow Scheduling for FPGA Overlays
A feast for trolls - Engagement analysis of counternarratives against online toxicity
Direct sampling method to retrieve small objects from two-dimensional limited-aperture scattered field data
Long Context Alignment with Short Instructions and Synthesized Positions
A Computational Method for Measuring "Open Codes" in Qualitative Analysis
Arcadia: A Fast and Reliable Persistent Memory Replicated Log
Speech-dependent Modeling of Own Voice Transfer Characteristics for In-ear Microphones in Hearables
A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
Feasibility of Interactive 3D Map for Remote Sighted Assistance
Securing The Kernel via Static Binary Rewriting and Program Shepherding
An Outage Exponent Region based Coded f-Matching Framework for Channel Allocation in Multi-carrier Multi-access Channels
JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence
NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
New Bounds for the Snake-in-the-Box Problem
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting
Bounds on the capacity region of a class of compound interference channels
Which one is the dax? Achieving mutual exclusivity with neural networks
Geometric learning of the conformational dynamics of molecules using dynamic graph neural networks
Model-agnostic machine learning of conservation laws from data
Detailed Steps of the Fourier-Motzkin Elimination
GUIDE: Guided Initialization and Distillation of Embeddings
Towards a disaster response system based on cognitive radio ad hoc networks
No Adjective Ordering Mystery, and No Raven Paradox, Just an Ontological Mishap
A Dataset and Benchmarks for Multimedia Social Analysis
RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI
Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes
Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence
A Blockchain-based Quantum Binary Voting for Decentralized IoT Towards Industry 5.0
ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms
GBM Returns the Best Prediction Performance among Regression Approaches: A Case Study of Stack Overflow Code Quality
StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation
An Automated Validation Framework for Power Management and Data Retention Logic Kits of Standard Cell Library
Beyond Q-Resolution and Prenex Form: A Proof System for Quantified Constraint Satisfaction
CoFFT: Chain of Foresight-Focus Thought for Visual Language Models
Using games and universal trees to characterise the nondeterministic index of tree languages
A Review on Serious Games for Phobia
Structure-preserving numerical method for Ampere-Nernst-Planck model
Incorporating Gaze into Social Navigation
A Novel Unified Model for Multi-exposure Stereo Coding Based on Low Rank Tucker-ALS and 3D-HEVC
A posteriori error estimator for elliptic interface problems in the fictitious formulation
Trustworthy Machine Learning under Distribution Shifts
Low-cost Microfluidic Testbed for Molecular Communications with Integrated Hydrodynamic Gating and Screen-printed Sensors
COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSes
Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery
Cross-Dialect Sentence Transformation: A Comparative Analysis of Language Models for Adapting Sentences to British English
Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence
Pushing BitTorrent Locality to the Limit
Differential forms: Lagrange interpolation, sampling and approximation on polynomial admissible integral k-meshes
TTT2 with Termination Templates for Teaching
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models
A Simple Optimal Binary Representation of Mosaic Floorplans and Baxter Permutations
On the detectability by novices, radiologists, and computer algorithms of smallest increases in local single dot size in random-dot images
Game-invariant Features Through Contrastive and Domain-adversarial Learning
Extracting COVID-19 Events from Twitter
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems
Percolation on random graphs with a fixed degree sequence
A shifted Laplace rational filter for large-scale eigenvalue problems
On Robust Learning from Noisy Labels: A Permutation Layer Approach
Optimizing Peer Grading: A Systematic Literature Review of Reviewer Assignment Strategies and Quantity of Reviewers
QuadTree Attention for Vision Transformers
Generation for Adaption: A GAN-Based Approach for 3D Domain Adaption with Point Cloud Data
Graph-based Retrieval for Claim Verification over Cross-Document Evidence
Learning with Bounded Instance- and Label-dependent Label Noise
Score-based Causal Representation Learning with Interventions
Methods for the Design and Evaluation of HCI+NLP Systems
ELCC: the Emergent Language Corpus Collection
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach
Making Markov chains less lazy
Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management
Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions
TREEWIDTH and PATHWIDTH parameterized by vertex cover
Single Morphing Attack Detection using Siamese Network and Few-shot Learning
Approximating Activation Functions
Bandits Under The Influence (Extended Version)
TSEC: a framework for online experimentation under experimental constraints
A multilevel framework for AI governance
Leveraging AI modelling for FDS with Simvue: monitor and optimise for more sustainable simulations