Christian Bauckhage

Christian Bauckhage's AcademicInfluence.com Rankings

Christian Bauckhage

Computer Science

#8619

World Rank

#9061

Historical Rank

Algorithms

#341

World Rank

#346

Historical Rank

Machine Learning

#3576

World Rank

#3620

Historical Rank

Artificial Intelligence

#3884

World Rank

#3940

Historical Rank

computer-science Degrees

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Computer Science

Christian Bauckhage's Degrees

PhD Computer Science University of Bonn
Masters Computer Science University of Bonn
Bachelors Computer Science University of Bonn

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Christian Bauckhage's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Evaluation of Interest Point Detectors (2000) (1764)
The slashdot zoo: mining a social network with negative edges (2009) (478)
Comparing and evaluating interest points (1998) (355)
Informed Haar-Like Features Improve Pedestrian Detection (2014) (310)
Informed Machine Learning – A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems (2019) (227)
Analyzing Social Bookmarking Systems : A del . icio . us Cookbook (2008) (177)
Propagation kernels: efficient graph kernels from propagated information (2016) (176)
Loveparade 2010: Automatic video analysis of a crowd disaster (2012) (170)
Guns, swords and data: Clustering of player behavior in computer games in the wild (2012) (166)
Insights into Internet Memes (2011) (141)
Predicting player churn in the wild (2014) (130)
Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis. (2012) (128)
I tag, you tag: translating tags for advanced user models (2010) (118)
Learning Human-Like Movement Behavior for Computer Games (2004) (111)
How players lose interest in playing a game: An empirical study based on distributions of total playing times (2012) (98)
Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants (2016) (98)
Metro Maps of Plant Disease Dynamics—Automated Mining of Differences Using Hyperspectral Images (2015) (97)
Non-negative Matrix Factorization in Multimodality Data for Segmentation and Label Prediction (2011) (97)
Clustering Game Behavior Data (2015) (93)
Predicting Purchase Decisions in Mobile Free-to-Play Games (2015) (81)
Learning Human-Like Opponent Behavior for Interactive Computer Games (2003) (81)
Action recognition by learning discriminative key poses (2011) (80)
Game Data Mining (2013) (74)
Analyzing the Evolution of Social Groups in World of Warcraft® (2010) (71)
Making Archetypal Analysis Practical (2009) (70)
Towards 3D Internet: Why, What, and How? (2007) (70)
Descriptive matrix factorization for sustainability Adopting the principle of opposites (2012) (69)
A comparison of methods for player clustering via behavioral telemetry (2014) (67)
Efficient Pose-Based Action Recognition (2014) (67)
Convex Non-negative Matrix Factorization in the Wild (2009) (67)
Malware Detection on Mobile Devices Using Distributed Machine Learning (2010) (63)
The Playtime Principle: Large-scale cross-games interest modeling (2014) (63)
Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes (2013) (63)
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization (2010) (62)
Believability Testing and Bayesian Imitation in Interactive Computer Games (2006) (62)
Imitation learning at all levels of game-AI (2004) (60)
Automatic detection of abnormal gait (2009) (60)
An XML based framework for cognitive vision architectures (2004) (57)
Archetypal Game Recommender Systems (2014) (52)
Network growth and the spectral evolution model (2010) (51)
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions (2020) (49)
Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behaviour for a Commercial Game (2003) (46)
Convex non-negative matrix factorization for massive datasets (2011) (46)
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning (2019) (45)
Data Mining and Pattern Recognition in Agriculture (2013) (44)
An active memory as a model for information fusion (2004) (44)
k-Means Clustering Is Matrix Factorization (2015) (43)
Efficient Subframe Video Alignment Using Short Descriptors (2013) (42)
Detecting Trends in Social Bookmarking Systems: A del.icio.us Endeavor (2010) (41)
Large-Scale Cross-Game Player Behavior Analysis on Steam (2021) (41)
Is Bayesian Imitation Learning the Route to Believable Gamebots (2004) (40)
Combining speech and haptics for intuitive and efficient navigation through image databases (2003) (39)
Temporal key poses for human action recognition (2011) (39)
Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behavior for a Commercial Computer Game (2003) (38)
Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model (2015) (38)
Behavior evolution in Tomb Raider Underworld (2013) (38)
Erosion Band Features for Cell Phone Image Based Plant Disease Classification (2014) (36)
Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels (2014) (35)
An integrated system for cooperative man-machine interaction (2001) (35)
Profiling in Games: Understanding Behavior from Telemetry (2017) (35)
The Good, the Bad, and the Ugly: Predicting Aesthetic Image Labels (2010) (34)
How Viral Are Viral Videos? (2015) (31)
Hierarchical Convex NMF for Clustering Massive Data (2010) (31)
Automatic detection of dangerous motion behavior in human crowds (2011) (30)
Bayesian Imitation of Human Behavior in Interactive Computer Games (2006) (30)
Pathfinding in Games (2013) (30)
Towards a Fair 'n Square Aimbot - Using Mixtures of Experts to Learn Context Aware Weapon Handling (2004) (29)
Synthesizing Movements for Computer Game Characters (2004) (29)
Analyzing pedestrian behavior in crowds for automatic detection of congestions (2011) (28)
Non-negative factor analysis supporting the interpretation of elemental distribution images acquired by XRF (2014) (27)
Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning (2016) (27)
Face recognition with weighted locally linear embedding (2005) (26)
Action Recognition in Videos Using Nonnegative Tensor Factorization (2010) (26)
Detecting abnormal gait (2005) (26)
The Weibull as a Model of Shortest Path Distributions in Random Networks (2013) (25)
A cognitive vision system for action recognition in office environments (2004) (25)
Computing the Kullback-Leibler Divergence between two Weibull Distributions (2013) (24)
Collective attention to social media evolves according to diffusion models (2014) (23)
Ising Models for Binary Clustering via Adiabatic Quantum Computing (2017) (23)
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study (2012) (23)
Towards Automated Auditing with Machine Learning (2019) (23)
Triple Classification Using Regions and Fine-Grained Entity Typing (2019) (23)
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images (2012) (22)
Fast moving pedestrian detection based on motion segmentation and new motion features (2016) (22)
A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones (2010) (22)
Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE (2018) (21)
Action recognition in still images by learning spatial interest regions from videos (2015) (21)
The "Spree" Expert Finding System (2007) (21)
Evaluating integrated speech- and image understanding (2002) (20)
Exploring Human Vision Driven Features for Pedestrian Detection (2015) (20)
Archetypical motion: Supervised game behavior learning with Archetypal Analysis (2013) (20)
Strong Regularities in Growth and Decline of Popularity of Social Media Services (2014) (20)
Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions (2014) (20)
Bounding box splitting for robust shape classification (2005) (19)
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing (2020) (19)
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization (2022) (19)
Human activity recognition by separating style and content (2014) (19)
An unsupervised hierarchical approach to document categorization (2007) (19)
A QUBO Formulation of the k-Medoids Problem (2019) (18)
Mosaics from Arbitrary Stereo Video Sequences (2004) (18)
Alternative similarity functions for graph kernels (2008) (18)
The visual active memory perspective on integrated recognition systems (2008) (18)
Age Recognition in the Wild (2010) (18)
User Churn Migration Analysis with DEDICOM (2015) (17)
Learning and Game AI (2013) (17)
Integration frameworks for large scale cognitive vision systems - an evaluative study (2004) (17)
Learning Human Behavior from Analyzing Activities in Virtual Environments (2007) (16)
Moving pedestrian detection based on motion segmentation (2013) (16)
Simplex Distributions for Embedding Data Matrices over Time (2012) (16)
Non-negative matrix factorization for the near real-time interpretation of absorption effects in elemental distribution images acquired by X-ray fluorescence imaging. (2016) (16)
Combining environmental cues & head gestures to interact with wearable devices (2005) (15)
Towards a Vision System for Supervising Assembly Processes (1999) (15)
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction (2018) (15)
A distributed machine learning framework (2009) (15)
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants (2016) (15)
Adiabatic Quantum Computing for Kernel k=2 Means Clustering (2018) (15)
Robust Tensor Classifiers for Color Object Recognition (2007) (15)
Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series (2014) (15)
Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information (2016) (14)
Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing (2008) (14)
Spectral evolution in dynamic networks (2013) (14)
Vision Systems with the Human in the Loop (2005) (14)
A Purely Geometric Approach to Non-Negative Matrix Factorization (2014) (14)
Bayesian imitation learning in game characters (2007) (14)
Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments (2012) (14)
An Efficient Ontology-Based Expert Peering System (2007) (13)
An intelligent knowledge sharing system for web communities (2007) (13)
Efficient and Robust Alignment of Unsynchronized Video Sequences (2011) (13)
From Image Features To Symbols And Vice Versa - Using Graphs To Loop Data- And Model-Driven Processing In Visual Assembly Recognition (2004) (13)
MALADY: A Machine Learning-Based Autonomous Decision-Making System for Sensor Networks (2009) (13)
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures (2019) (13)
Modeling Collaborative Similarity with the Signed Resistance Distance Kernel (2008) (12)
Using Echo State Networks for Cryptography (2017) (12)
Agriculture's Technological Makeover (2012) (12)
Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data (2017) (12)
Mining for Social Serendipity (2008) (12)
Discriminative Joint Non-negative Matrix Factorization for Human Action Classification (2013) (12)
Echo State Networks for Named Entity Recognition (2019) (11)
Memory consistency validation in a cognitive vision system (2004) (11)
An Active Memory Model for Cognitive Computer Vision Systems (2005) (11)
The Age of Analytics (2015) (10)
High dimensional low sample size activity recognition using geometric classifiers (2015) (10)
k-Maxoids Clustering (2015) (10)
Exploiting the Fascination: Video Games in Machine Learning Research and Education (2004) (10)
Content-based image retrieval by multimodal interaction (2003) (10)
3D Assembly Recognition by Matching Functional Subparts (2001) (10)
Archetypal Images in Large Photo Collections (2009) (9)
A Note on Archetypal Analysis and the Approximation of Convex Hulls (2014) (9)
A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking (2019) (9)
A lightweight biometric signature scheme for user authentication over networks (2008) (9)
Adiabatic Quantum Computing for Max-Sum Diversification (2020) (9)
Towards Contradiction Detection in German: a Translation-Driven Approach (2019) (9)
Tree-Based Signatures for Shape Classification (2006) (9)
Image Tagging Using PageRank over Bipartite Graphs (2008) (9)
Anonymization of German financial documents using neural network-based language models with contextual word representations (2021) (9)
Investigating CAPTCHAs Based on Visual Phenomena (2009) (8)
A new evaluation measure for information retrieval systems (2007) (8)
Integrating Recognition Paradigms in a Multiple-Path Architecture (2001) (8)
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports (2022) (8)
Fast learning for customizable head pose recognition in robotic wheelchair control (2006) (8)
Gradient-free quantum optimization on NISQ devices (2020) (8)
More influence means less work: fast latent dirichlet allocation by influence scheduling (2011) (8)
Improving Word Embeddings Using Kernel PCA (2019) (8)
A Neural Network Implementation of Frank-Wolfe Optimization (2017) (8)
Detecting and correcting spelling errors in high-quality Dutch Wikipedia text (2018) (8)
Tailoring Taxonomies for Efficient Text Categorization and Expert Finding (2008) (8)
ALiBERT: improved automated list inspection (ALI) with BERT (2021) (7)
Applying Ensembles of Multilinear Classifiers in the Frequency Domain (2006) (7)
Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies (2000) (7)
A Structural Framework for Assembly Modeling and Recognition (2003) (7)
Tactical Waypoint Maps: Towards Imitating Tactics in FPS Games (2005) (7)
Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation (2015) (7)
Separable Linear Discriminant Classification (2005) (7)
Matrix- and Tensor Factorization for Game Content Recommendation (2019) (7)
Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants (2012) (7)
Online k-Maxoids Clustering (2017) (7)
Adiabatic Quantum Computing for Binary Clustering (2017) (6)
Prediction of memory formation based on absolute electroencephalographic phases in rhinal cortex and hippocampus outperforms prediction based on stimulus‐related phase shifts (2018) (6)
Prototypes Within Minimum Enclosing Balls (2019) (6)
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders (2020) (6)
Informed Machine Learning Through Functional Composition (2018) (6)
Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI (2022) (6)
Hopfield Networks for Vector Quantization (2020) (6)
KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences (2017) (6)
A discrete-time parallel update algorithm for distributed learning (2008) (6)
Towards Generating Financial Reports from Tabular Data Using Transformers (2021) (5)
Towards and Image Understanding Architecture for a Situated Artificial Communicator (1999) (5)
The Snippet Statistics of Font Recognition (2010) (5)
Image retrieval and Web 2.0 — where can we go from here? (2008) (5)
Parameterizing the Distance Distribution of Undirected Networks (2015) (5)
“Deep Phenotyping” of Early Plant Response to Abiotic Stress Using Non-invasive Approaches in Barley (2013) (5)
Distance-Free Image Retrieval Based on Stochastic Diffusion over Bipartite Graphs (2007) (5)
Adaptive wireless services for augmented environments (2009) (5)
ML2R Coding Nuggets: Hopfield Nets for Max-Sum Diversification (2021) (5)
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks (2021) (5)
Automatic mapping of human behavior data to personality model parameters for traffic simulations in virtual environments (2015) (5)
Simple Recurrent Neural Networks for Support Vector Machine Training (2018) (5)
Classification of Team Behaviors in Sports Video Games (2006) (4)
Efficient Learning for Hashing Proportional Data (2012) (4)
Center-Surround Contrast Features for Pedestrian Detection (2014) (4)
Towards German Word Embeddings: A Use Case with Predictive Sentiment Analysis (2017) (4)
Where am I ? – On Providing Gamebots with a Sense of Location Using Spectral Clustering of Waypoints (2006) (4)
Towards manifold learning for gamebot behavior modeling (2005) (4)
Separable Linear Classifiers for Online Learning in Appearance Based Object Detection (2005) (4)
GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science (2013) (4)
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels (2019) (4)
Policy Learning Using SPSA (2018) (4)
Novelty Discovery with Kernel Minimum Enclosing Balls (2020) (4)
Who is doing what? Simultaneous recognition of actions and actors (2012) (4)
ML2R Coding Nuggets: Hopfield Nets for Bipartition Clustering (2021) (4)
Towards Shortest Paths Via AdiabaticQuantum Computing (2018) (4)
A Community-based Expert Finding System (2007) (4)
ML2R Coding Nuggets: Hopfield Nets for Sorting (2021) (4)
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving (2021) (4)
Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision (2022) (4)
Memorizing Visual Knowledge for Assembly Process Monitoring (2001) (4)
Gait recognition by learning distributed key poses (2012) (4)
Cell Phone Image-Based Plant Disease Classification (2016) (4)
Supervised Autoencoder Variants for End to End Anomaly Detection (2020) (4)
Introducing Clustering I: Behavioral Profiling for Game Analytics (2014) (3)
Efficient Mesoscopic Simulations for Persistent Agents in 3D-Applications and Games (2013) (3)
ML2R Theory Nuggets Centering Data- and Kernel Matrices (2021) (3)
Usability Evaluation for Image Retrieval Beyond Desktop Applications (2006) (3)
Predicting Player Chum In the Wild (2014) (3)
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning (2022) (3)
Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks (2015) (3)
Informed Pre-Training on Prior Knowledge (2022) (3)
Synthetic perception for intelligent virtual agents (2014) (3)
Performance of ECG‐based seizure detection algorithms strongly depends on training and test conditions (2021) (3)
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls (2019) (3)
Modeling Sensation for an Intelligent Virtual Agent's Perception Process (2015) (3)
Tensor-Based Filter Design using Kernel Ridge Regression (2007) (3)
Efficient Information Theoretic Clustering on Discrete Lattices (2013) (3)
k-Means Clustering via the Frank-Wolfe Algorithm (2016) (3)
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM (2020) (3)
Integrating Lateral Swaying of Pedestrians into Simulations (2014) (3)
Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects (2000) (3)
Recurrent Point Processes for Dynamic Review Models (2019) (3)
Cognitive Aspects of Traffic Simulations in Virtual Environments (2012) (3)
Solving Subset Sum Problems using Binary Optimization with Applications in Auditing and Financial Data Analysis (2022) (3)
Adaptive Decision Making in Microsimulations of Urban Traffic in Virtual Environments (2014) (3)
Matrix Factorization as Search (2012) (3)
Characterizations and Kullback-Leibler Divergence of Gompertz Distributions (2014) (3)
ML2R Coding Nuggets: Sorting as Linear Programming (2021) (3)
Bounding open space risk with decoupling autoencoders in open set recognition (2022) (2)
Image Space I3 and Eigen Curvature for Illumination Insensitive Face Detection (2005) (2)
Introducing Clustering II: Clustering Algorithms (2014) (2)
ML2R Coding Nuggets: Sorting as a QUBO (2021) (2)
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks (2020) (2)
Cognitive Agents with Psychological Personality Profiles for Traffic Simulations in Virtual Environments (2012) (2)
Can Computers Learn from the Aesthetic Wisdom of the Crowd? (2013) (2)
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM (2021) (2)
Utilizing Representation Learning for Robust Text Classification Under Datasetshift (2021) (2)
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis (2021) (2)
Recurrent Point Review Models (2020) (2)
SPSA for Layer-Wise Training of Deep Networks (2018) (2)
Dynamic Review-based Recommenders (2021) (2)
Leveraging Contextual Text Representations for Anonymizing German Financial Documents (2020) (2)
Collective Attention on the Web (2016) (2)
Subspace manifold learning with sample weights (2009) (2)
Sensing the occurrence and dynamics of Cercospora leaf spot disease using UAV-supported image data and deep learning (2022) (2)
Extracting Salient Points and Parts of Shapes Using Modified k d-Trees (2007) (2)
ML2R Coding Nuggets Greedy Set Cover with Native Python Data Types (2022) (2)
Quantum Circuit Evolution on NISQ Devices (2020) (2)
Adapting Information Theoretic Clustering to Binary Images (2010) (2)
A Fast, Feature-based Cluster Algorithm for Information Retrieval (2007) (2)
A Stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos (2014) (2)
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification (2019) (2)
Interpretable Matrix Factorization with Stochasticity Constrained Nonnegative DEDICOM (2017) (2)
On the Scalability of Graph Kernels Applied to Collaborative Recommenders (2008) (2)
Neural Conditional Gradients (2018) (2)
Decoupling Autoencoders for Robust One-vs-Rest Classification (2021) (2)
Variable Attention and Variable Noise: Forecasting User Activity (2016) (1)
Notes on the Code Quality Culture on Jupyter (Notebooks) (2019) (1)
Benefits of Separable, Multilinear Classification (2006) (1)
Lecture Notes on Data Science: Kernel k-Means Clustering (Part 1) (2015) (1)
Informed Machine Learning for Industry (2019) (1)
ML2R Coding Nuggets: Hopfield Nets, Bipartition Clustering, and the Kernel Trick (2021) (1)
Group Evolution Patterns in World of Warcraft (2010) (1)
Patterns and Outliers in Temporal Point Processes (2019) (1)
ML2R Coding Nuggets Hopfield Nets for Set Cover (2022) (1)
Intelligent Navigation in Image Databases (2004) (1)
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents (2022) (1)
Early Identification of Plant Stress in Hyperspectral Images (2015) (1)
Where the Pirates Are (2011) (1)
Learning Syllogism with Euler Neural-Networks (2020) (1)
ML2R Coding Nuggets: Solving the Single Unit Oja Flow (2021) (1)
Learning Deep Generative Models for Queuing Systems (2021) (1)
A Community Detection Based Approach for Exploring Patterns in Player Reviews (2019) (1)
Towards Map-Based Validation of Semantic Segmentation Masks (2020) (1)
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM (2017) (1)
Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation (2018) (1)
Predicting Emerging Trends in Citation Networks (2018) (1)
Growing Executable Code-Quality-Knowledge Organically (2018) (1)
Shells within Minimum Enclosing Balls (2020) (1)
Probabilistic Diffusion Classifiers for Object Detection (2008) (1)
Predict better with less training data using a QNN (2022) (1)
A New Aligned Simple German Corpus (2022) (1)
Benefits of Separable, Multilinear Discriminant Classification (2006) (1)
ML2R Coding Nuggets Intersection String Kernels for Language Processing (2022) (1)
Evolutionary Behavioral Clustering in Tomb Raider (2013) (1)
Investigating and Forecasting User Activities in Newsblogs: A Study of Seasonality, Volatility and Attention Burst (2017) (1)
Novelty-Guided Reinforcement Learning via Encoded Behaviors (2020) (1)
TREE-BASEDSIGNATURESFOR SHAPECLASSIFICATION (2006) (0)
ML2R Coding Nuggets Greedy Set Cover with Binary NumPy Arrays (2022) (0)
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis (2022) (0)
Decision Snippet Features (2021) (0)
Introducing Clustering III: Challenges and Pitfalls (2014) (0)
Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images (2014) (0)
Max-Sum Dispersion via Quantum Annealing (2019) (0)
Chapter 12: Game Data Mining (2012) (0)
Adaptive method and system for enhanced wireless services environments (2009) (0)
Guided Reinforcement Learning via Sequence Learning (2020) (0)
ML2R Coding Nuggets Hopfield Nets for Subset Sum (2022) (0)
ML2R Coding Nuggets Kernel PCA for Word Embeddings (2022) (0)
The Open University ’ s repository of research publications and other research outputs Mining for Social Serendipity Conference Item (2010) (0)
From Images via Symbols to Contexts: Using Augmented Reality for Interactive Model Acquisition (2005) (0)
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning (2022) (0)
The Playtime Principle: Mining 5 Billion Hours of Play on Steam (2014) (0)
ML2R Coding Nuggets: Unambiguous Bipartition Clustering with Hopfield Nets (2021) (0)
Data Mining and Pattern Recognition in Agriculture (2013) (0)
ML2R Theory Nuggets Computational Complexity of Max-Sum Diversification (2021) (0)
Towards automating Numerical Consistency Checks in Financial Reports (2022) (0)
08391 Group Summary - Mining for Social Serendipity (2008) (0)
Switching Dynamical Systems with Deep Neural Networks (2021) (0)
Descriptive matrix factorization for sustainability Adopting the principle of opposites (2011) (0)
An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks (2021) (0)
Some title (2021) (0)
QUBOs for Sorting Lists and Building Trees (2022) (0)
Automatic Indexing of Financial Documents via Information Extraction (2021) (0)
Spectral evolution in dynamic networks (2012) (0)
Third Party Effect: Community Based Spreading in Complex Networks (2017) (0)
ML2R Coding Nuggets AdaBoost with Pre-Trained Hypotheses (2022) (0)
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention (2021) (0)
Convex NMF on Non-Convex Massiv Data (2010) (0)
From Open Set Recognition Towards Robust Multi-class Classification (2022) (0)
ML2R Coding Nuggets SVM Training Using 16 Lines of Plain Vanilla NumPy Code (2022) (0)
Marginalizing over the PageRank Damping Factor (2014) (0)
TOWARDS AN IMAGE UNDERSTANDINGARCHITECTURE FOR A SITUATED ARTIFICIALCOMMUNICATOR (1999) (0)
Matrix- and Tensor Factorization for Game Content Recommendation (2019) (0)
Propagation kernels: efficient graph kernels from propagated information (2015) (0)
ML2R Coding Nuggets: Solving Least Squares Gradient Flows (2021) (0)
Cognitive Systems and Robotics (2019) (0)
Context Free Grammars and Semantic Networks for Flexible Assembly Recognition (2003) (0)
FROM UAV-BASED C ROP I MAGES BY C OMPUTER V ISION (2022) (0)
Integral correlograms and probabilistic diffusion for image tagging (2008) (0)
Non-Negative Matrix Factorization for the near real time interpretation of absorption effects in elemental distribution images acquired by XRF imaging (2015) (0)
Auto Encoding Explanatory Examples with Stochastic Paths (2021) (0)
Fast moving pedestrian detection based on motion segmentation and new motion features (2015) (0)
1 Pro ling in Games : Understanding Behavior from Telemetry (2016) (0)
Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch (2019) (0)
Integrated perception of cooperative human-machine interaction (2006) (0)
Inverse Dynamical Inheritance in Stack Exchange Taxonomies (2017) (0)
Social and Expert Research in Online Communities (2010) (0)
Gradient Flows for L2 Support Vector Machine Training (2022) (0)
tanh Neurons Are Bayesian Decision Makers (2020) (0)
Can Computers Learn from the Aesthetic Wisdom of the Crowd? (2012) (0)
LEARNMINER - Advanced Analytics for eLearning (2015) (0)
Introducing Clustering IV: The Case of Tera Online (2014) (0)
SGPD Volume Maximization for Community Detection (2015) (0)
Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization with Evolutionary Algorithms (2021) (0)
Recurrent Adversarial Service Times (2019) (0)
Propagation Kernels (2014) (0)
CAPTCHAs based on visual illusions (2010) (0)
ML2R Coding Nuggets: Linear Programming (2021) (0)
Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features (2006) (0)
Reverse Indexing for Reading Graffiti Tags (2010) (0)
Contradiction Detection in Financial Reports (2023) (0)
Anonymization of German financial documents using neural network-based language models with contextual word representations (2021) (0)

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