yusuke1997/dblp-id-title huggingface dataset:
(Self) Driving Under the Influence: Intoxicating Adversarial Network Inputs
Tor instead of IP
Sustainability or Survivability? Eliminating the Need to Choose in LEO Satellite Constellations
PASTE: Network Stacks Must Integrate with NVMM Abstractions
Towards Programmable Packet Scheduling
FairCloud : sharing the network in cloud computing
Rethinking Networking for "Five Computers"
The Internet at the Speed of Light
Automating network heuristic design and analysis
Act for affordable data care
Application Defined Networks
Flexlab: A Realistic, Controlled, and Friendly Environment for Evaluating Networked Systems
Protocol Design Beyond Graph-Based Models
Capturing Complexity in Networked Systems Design: The Case for Improved Metrics
Eight ACM Workshop on Hot Topics in Networks (HotNets-VIII), HOTNETS '09, New York City, NY, USA, October 22-23, 2009
Rack-level Congestion Control
A Call for Decentralized Satellite Networks
BitTorrent for the less privileged
Room-Area Networks
Towards minimal-delay deadline-driven data center TCP
Harvesting Randomness to Optimize Distributed Systems
Lost in Translation: The Search for Meaning in Network-Attached AI Accelerator Disaggregation
Leveraging the Power of Cloud for Reliable Wide Area Communication
Reclaiming the Brain: Useful OpenFlow Functions in the Data Plane
Handling a trillion (unfixable) flaws on a billion devices: Rethinking network security for the Internet-of-Things
On the risk of misbehaving RPKI authorities
A Policy Framework for the Future Internet
Path Splicing: Reliable Connectivity with Rapid Recovery
Consistent updates for software-defined networks: change you can believe in!
The Case for Moving Congestion Control Out of the Datapath
Plinko: building provably resilient forwarding tables
Connecting Battery-free IoT Tags Using LED Bulbs
Clara: Performance Clarity for SmartNIC Offloading
XIA: an architecture for an evolvable and trustworthy internet
Interference Cancellation: Better Receivers for a New Wireless MAC
An Effort to Democratize Networking Research in the Era of AI/ML
Toward Trustworthy Learning-Enabled Systems with Concept-Based Explanations
The case for antenna cancellation for scalable full-duplex wireless communications
Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity
Wi-LE: Can WiFi Replace Bluetooth?
Breaking Up the Transport Logjam
Free Riding in BitTorrent is Cheap
A new approach to interdomain routing based on secure multi-party computation
5th ACM Workshop on Hot Topics in Networks - HotNets-V, Irvine, California, USA, November 29-30, 2006
A Technical Approach to Net Neutrality
(R)Evolutionary Bootstrapping of a Global PKI for Securing BGP
Glavlit: Preventing Exfiltration at Wire Speed
A Call to Arms for Management Plane Analytics
Learning a QoE Metric from Social Media and Gaming Footage
The price is right: towards location-independent costs in datacenters
Flyways To De-Congest Data Center Networks
Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking
Network can check itself: scaling data plane checking via distributed, on-device verification
DevoFlow: cost-effective flow management for high performance enterprise networks
Caching and Neutrality
Don't Secure Routing Protocols, Secure Data Delivery
Intentional Network Monitoring: Finding the Needle without Capturing the Haystack
Don't Forget the User: It's Time to Rethink Network Measurements
Flat-tree: A Convertible Data Center Network Architecture from Clos to Random Graph
Efficient flow scheduling in distributed deep learning training with echelon formation
7th ACM Workshop on Hot Topics in Networks - HotNets-VII, Calgary, Alberta, Canada, October 6-7, 2008
A Knowledge-Based Systems Approach to Reason About Networking
DIY Hosting for Online Privacy
Full duplex backscatter
Beehive: Towards a Simple Abstraction for Scalable Software-Defined Networking
Using Video-Based Measurements to Generate a Real-Time Network Traffic Map
Innovating Multi-user Volumetric Video Streaming through Cross-layer Design
Tolerating Faults in Disaggregated Datacenters
One strategy does not serve all: tailoring wireless transmission strategies to user profiles
Unraveling Physical Space Limits for LEO Network Scalability
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, HotNets 2017, November 30 - December 01, 2017
Beyond Jain's Fairness Index: Setting the Bar For The Deployment of Congestion Control Algorithms
Solver-Aided Multi-Party Configuration
Interconnection Discrimination: A Two-Sided Markets Perspective
OpenDesc: From Static NIC Descriptors to Evolvable Metadata Interfaces
xBGP: When You Can't Wait for the IETF and Vendors
Toward a verifiable software dataplane
Your Data Center Is a Router: The Case for Reconfigurable Optical Circuit Switched Paths
PEERING: An AS for Us
"Internet from Space" without Inter-satellite Links
Server Chiplet Networking
Challenging the Stateless Quo of Programmable Switches
Bandwidth on demand for inter-data center communication
Revisiting Resource Pooling: The Case for In-Network Resource Sharing
Music-Defined Networking
Understanding host interconnect congestion
Man-Made Heuristics Are Dead. Long Live Code Generators!
Learning Network Design Objectives Using A Program Synthesis Approach
Fighting Coordinated Attackers with Cross-Organizational Information Sharing
Learning Food Quality and Safety from Wireless Stickers
Stats 101 in P4: Towards In-Switch Anomaly Detection
FlexSFP: Rethinking Network Intelligence Inside the Cable
CARE: content aware redundancy elimination for challenged networks
An Information-Theoretic Approach to Routing Scalability
WikiDo
Load balancers need in-band feedback control
I've Got 99 Problems But FLOPS Ain't One
Architecting Programmable Data Plane Defenses into the Network with FastFlex
Accelerated Service Chaining on a Single Switch ASIC
NeuroMIMO: Employing the Neuromorphic Computing Principles to Achieve Power-Efficient MU-MIMO Detection
Internet Science Moonshot: Expanding BGP Data Horizons
It's a bird? It's a plane? It's CDN!: Investigating Content Delivery Networks in the LEO Satellite Networks Era
A Road map for the Democratization of Space-Based Communications
Time's Forgotten: Using NTP to understand Internet Latency
Pitfalls for ISP-friendly P2P design
Towards Seamless 5G Open-RAN Integration with WebAssembly
Low-Latency Routing on Mesh-Like Backbones
Data Centers Manufacturing Steel: Rethinking Industrial Networks in the Age of IT
The Privacy Quagmire: Where Computer Scientists and Lawyers May Disagree
A Holistic View of AI-driven Network Incident Management
Can Censorship Measurements Be Safe(r)?
A case for remote attestation in programmable dataplanes
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression
Spineless Data Centers
Transparency Instead of Neutrality
Mind the Misleading Effects of LEO Mobility on End-to-End Congestion Control
Flow/Path Performance Consistency
Proceedings of the 14th ACM Workshop on Hot Topics in Networks, Philadelphia, PA, USA, November 16 - 17, 2015
Global content revocation on the internet: a case study in technology ecosystem transformation
Leveraging Service Meshes as a New Network Layer
Immunizing Systems from Distant Failures by Limiting Lamport Exposure
Packet Subscriptions for Programmable ASICs
Dr. Multicast: Rx for Datacenter Communication Scalability
Counterfeiting Congestion Control Algorithms
QVISOR: Virtualizing Packet Scheduling Policies
Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud
SideCar: building programmable datacenter networks without programmable switches
CLOVE: How I learned to stop worrying about the core and love the edge
Enabling an Energy-Efficient Future Internet Through Selectively Connected End Systems
Enriching Telepresence with Semantic-driven Holographic Communication
Rethinking Web Caching: An Optimization for the Latency-Constrained Internet
Good Things Come to Those Who (Can) Wait or How to Handle Delay Tolerant Traffic and Make Peace on the Internet
SwiShmem: Distributed Shared State Abstractions for Programmable Switches
Automated Network Repair with Meta Provenance
Robustifying Network Protocols with Adversarial Examples
Event-Driven Packet Processing
The Case for a Network Fast Path to the CPU
Automatic Synthesis of NF Models by Program Analysis
JEEVES: The Valet Who Masters the Art of Cross-DC Training Scheduling
MIXIT: The Network Meets the Wireless Channel
Supporting Emergency-Response by Retasking Network Infrastructures
Do we want the New Old Internet?: Towards Seamless and Protocol-Independent IoT Application Interoperability
Perfect is the Enemy of Good: Setting Realistic Goals for BGP Security
Why didn't my (great!) protocol get adopted?
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
Proving Server Faults: RPCs for Distributed Systems in Byzantine Networks
Designing for Tussle in Encrypted DNS
A Call to Arms: Motivating An Internet Measurements Observatory for Africa
Above the Clouds: New Software Challenges in Space Computing
For sale : your data: by : you
Towards Lightweight and Robust Machine Learning for CDN Caching
Faster-than-light coordination for networked systems with quantum non-local games
PIAS: Practical Information-Agnostic Flow Scheduling for Data Center Networks
Helping the Lone Operator in the Vast Frontier
How will Deep Learning Change Internet Video Delivery?
The Small World Web of AI
Ascertaining the Reality of Network Neutrality Violation in Backbone ISPs
Retransmission =/= Repeat: Simple Retransmission Permutation Can Resolve Overlapping Channel Collisions
A quest for an Internet video quality-of-experience metric
The energy and emergy of the internet
11th ACM Workshop on Hot Topics in Networks, HotNets-XI, Redmond, WA, USA - October 29 - 30, 2012
Crowdsourcing Access Network Spectrum Allocation Using Smartphones
Give in to procrastination and stop prefetching
Achieving Good End-to-End Service Using Bill-Pay
EONA: Experience-Oriented Network Architecture
An Axiomatic Basis for Communication
Pharos: enable physical analytics through visible light based indoor localization
PeerWise Discovery and Negotiation of Faster Paths
Anyone, Anywhere, not Everyone, Everywhere: Starlink Doesn't End the Digital Divide
Rethinking Cloud Service Marketplaces
HotCocoa: Hardware Congestion Control Abstractions
Treads: Transparency-Enhancing Ads
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
A Cascaded Multiple Expert System for Verification
A New HMM-Based Ensemble Generation Method for Numeral Recognition
Multiple Classifier Systems, 9th International Workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010. Proceedings
Data Partitioning Evaluation Measures for Classifier Ensembles
Decision Level Fusion of Intramodal Personal Identity Verification Experts
A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling
Learning-Data Selection Mechanism through Neural Networks Ensemble
Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System
Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection
Finding Consistent Clusters in Data Partitions
Multiple Classifier Systems, 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings
SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning
Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis
Two Stage Reject Rule for ECOC Classification Systems
MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction
Network Protocol Verification by a Classifier Selection Ensemble
Ensemble Methods for Tracking and Segmentation (Abstract)
Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance
Combining Multiple Kernels by Augmenting the Kernel Matrix
Similarity Weighted Ensembles for Relocating Models of Rare Events
An Ensemble Approach for Incremental Learning in Nonstationary Environments
Speaker Verification Using Adapted User-Dependent Multilevel Fusion
Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules
Second Guessing a Commercial 'Black Box' Classifier by an 'In House' Classifier: Serial Classifier Combination in a Speech Recognition Application
Experiments on Ensembles with Missing and Noisy Data
Pruned Random Subspace Method for One-Class Classifiers
Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis
A Study of Semi-supervised Generative Ensembles
Support Vector Machines, Kernel Logistic Regression and Boosting
Active Grading Ensembles for Learning Visual Quality Control from Multiple Humans
Multi-modal Person Recognition for Vehicular Applications
Building Classifier Ensembles Using Greedy Graph Edit Distance
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments
Gender Classification Using Mixture of Experts from Low Resolution Facial Images
Boosting Support Vector Machines Successfully
Dynamic Classifier Integration Method
Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign
A Comparison of Random Forest with ECOC-Based Classifiers
A Cascade Multiple Classifier System for Document Categorization
Using Dempster-Shafer Theory in MCF Systems to Reject Samples
Boosting and Classification of Electronic Nose Data
Manifold Learning for Multi-classifier Systems via Ensembles
A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-Entropy
Estimation of the Number of Clusters Using Multiple Clustering Validity Indices
An Experimental Study on Rotation Forest Ensembles
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs
Use of Lexicon Density in Evaluating Word Recognizers
Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis
A Markov Chain Approach to Multiple Classifier Fusion
A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR
Multi-scale Stacked Sequential Learning
Tree-Structured Support Vector Machines for Multi-class Pattern Recognition
Polychotomous Classification with Pairwise Classifiers: A New Voting Principle
Selection Strategies for pAUC-Based Combination of Dichotomizers
Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework
Forward and Backward Selection in Regression Hybrid Network
Combining One-Class Classifiers to Classify Missing Data
Classifier Fusion Using Triangular Norms
Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication
Selective Ensemble under Regularization Framework
Which Is the Best Multiclass SVM Method? An Empirical Study
A Latent Variable Pairwise Classification Model of a Clustering Ensemble
Classifiers Fusion in Recognition of Wheat Varieties
A Self-Organising Approach to Multiple Classifier Fusion
Feature Subsets for Classifier Combination: An Enumerative Experiment
Combining Kernel Information for Support Vector Classification
Unsupervised Hierarchical Weighted Multi-segmenter
Generating Classifier Ensembles from Multiple Prototypes and Its Application to Handwriting Recognition
MRF-Based Multiple Classifier System for Hyperspectral Remote Sensing Image Classification
Binary Decision Trees for Melanoma Diagnosis
Mixture of Gaussian Processes for Combining Multiple Modalities
Cluster-Based Cumulative Ensembles
Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results
Classification of Time Series Utilizing Temporal and Decision Fusion
Classifier Combinations: Implementations and Theoretical Issues
Boosting Lite - Handling Larger Datasets and Slower Base Classifiers
Multiple Classifier Systems for Adversarial Classification Tasks
Information Analysis of Multiple Classifier Fusion
Semi-supervised Clustering Ensemble for Web Video Categorization
GRASP Forest: A New Ensemble Method for Trees
Classifier Combination for Grammar-Guided Sentence Recognition
Error Rejection in Linearly Combined Multiple Classifiers
Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees
Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network
Constraints in Weighted Averaging
Ensembles and Multiple Classifiers: A Game-Theoretic View
Ensemble Methods for Reinforcement Learning with Function Approximation
Ensemble of SVMs for Incremental Learning
Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition
Half-Against-Half Multi-class Support Vector Machines
A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles
Post-processing of Classifier Outputs in Multiple Classifier Systems
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble
Disturbing Neighbors Ensembles for Linear SVM
Multi-information Ensemble Diversity
Two-Stage Augmented Kernel Matrix for Object Recognition
True Path Rule Hierarchical Ensembles
Recursive ECOC for Microarray Data Classification
Single Classifier Based Multiple Classifications
Multiple Classifier Systems, 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings
Diversity in Classifier Ensembles: Fertile Concept or Dead End?
Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting
Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data
Optimising Two-Stage Recognition Systems
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS
Classification of Aircraft Maneuvers for Fault Detection
Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels
Bayesian Analysis of Linear Combiners
Combining Dissimilarity-Based One-Class Classifiers
FaSS: Ensembles for Stable Learners
Design of Multiple Classifier Systems for Time Series Data
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction
Compact Ensemble Trees for Imbalanced Data
Approximate Convex Hulls Family for One-Class Classification
Cascading for Nominal Data
A Novel Pattern Rejection Criterion Based on Multiple Classifiers
Data Dependence in Combining Classifiers
A Generalized Class of Boosting Algorithms Based on Recursive Decoding Models
Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers
Adaptive Ensemble Selection for Face Re-identification under Class Imbalance
A Hierarchical Multiclassifier System for Hyperspectral Data Analysis
A Multiple Self-Organizing Map Scheme for Remote Sensing Classification
Error Bounds for Aggressive and Conservative AdaBoost
Boosted Tree Ensembles for Solving Multiclass Problems
Multiple Classifier Systems, Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002, Proceedings
Boosting in Linear Discriminant Analysis
Building Graph-Based Classifier Ensembles by Random Node Selection
Random Oracle Ensembles for Imbalanced Data
Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination
Classifier Ensembles for Changing Environments
Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems
Stopping Criteria for Ensemble-Based Feature Selection
Embedding Reject Option in ECOC Through LDPC Codes
Bias-Variance Analysis and Ensembles of SVM
Self-Organizing Neural Grove and Its Application to Incremental Learning
An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise
Dynamic Selection of Ensembles of Classifiers Using Contextual Information
Classification by Cluster Analysis: A New Meta-Learning Based Approach
Evaluation of Diversity Measures for Binary Classifier Ensembles
Multi-class Multi-scale Stacked Sequential Learning
Trainable Multiple Classifier Schemes for Handwritten Character Recognition
Application of Multiple Classifier Techniques to Subband Speaker Identification with an HMM/ANN System
Observations on Boosting Feature Selection
Good Error Correcting Output Codes for Adaptive Multiclass Learning
Improving Simple Collaborative Filtering Models Using Ensemble Methods
On the General Application of the Tomographic Classifier Fusion Methodology
Spectral Coefficients and Classifier Correlation
Generalized Augmentation of Multiple Kernels
Comparison of Classifier Selection Methods for Improving Committee Performance
Stacking for Ensembles of Local Experts in Metabonomic Applications
Classifier Ensembles for Vector Space Embedding of Graphs
A Discussion on the Classifier Projection Space for Classifier Combining
Detecting Ordinal Class Structures
Coding Theory Tools for Improving Recognition Performance in ECOC Systems
Multiple Classifier Systems, First International Workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000, Proceedings
A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach
Design of a New Classifier Simulator
Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling
Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining
Index Driven Combination of Multiple Biometric Experts for AUC Maximisation
Using a Behaviour Knowledge Space Approach for Detecting Unknown IP Traffic Flows
Consensus Based Classification of Multisource Remote Sensing Data
Neural Network Optimization for Combinations in Identification Systems
On Combining One-Class Classifiers for Image Database Retrieval
Averaging Weak Classifiers
A New Evaluation Method for Expert Combination in Multi-expert System Designing
Multi-label Selective Ensemble
Serial Fusion of Fingerprint and Face Matchers
An Information Theoretic Perspective on Multiple Classifier Systems
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
Ensemble Methods in Machine Learning
Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification
Decision-Level Fusion in Fingerprint Verification
Supervised Classifier Combination through Generalized Additive Multi-model
Multistage Neural Network Ensembles
Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers
A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVM
Some Thoughts at the Interface of Ensemble Methods and Feature Selection
Reduction of the Boasting Bias of Linear Experts
New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task
A Learning Method of Feature Selection for Rough Classification
Ensemble Confidence Estimates Posterior Probability
Incremental Boolean Combination of Classifiers
Confidence Based Gating of Colour Features for Face Authentication
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Improving Product by Moderating k-NN Classifiers
Cluster Ensembles Based on Vector Space Embeddings of Graphs
Multimodal PLSA for Movie Genre Classification
Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks