Sandra Zilles | Academic Influence

Sandra Zilles's AcademicInfluence.com Rankings

Sandra Zilles

Computer Science

#9312

World Rank

#9783

Historical Rank

Database

#9555

World Rank

#10080

Historical Rank

computer-science Degrees

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Computer Science

Sandra Zilles's Degrees

PhD Computer Science University of British Columbia
Masters Computer Science University of British Columbia
Bachelors Computer Science University of British Columbia

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Why Is Sandra Zilles Influential?

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According to Wikipedia, Sandra Zilles is a German and Canadian computer scientist, the Canada Research Chair in Computational Learning Theory at the University of Regina. Her research area encompasses machine learning and computational learning theory.

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Sandra Zilles'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

An Overview of Machine Teaching (2018) (124)
Learning heuristic functions for large state spaces (2011) (101)
Models of Cooperative Teaching and Learning (2011) (86)
Recursive teaching dimension, VC-dimension and sample compression (2014) (67)
Learning indexed families of recursive languages from positive data: A survey (2008) (54)
Learning recursive functions: A survey (2008) (49)
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions (2017) (41)
Predicting the size of IDA*'s search tree (2013) (31)
Bootstrap Learning of Heuristic Functions (2010) (30)
Recursive Teaching Dimension, Learning Complexity, and Maximum Classes (2010) (29)
Sufficient Conditions for Node Expansion in Bidirectional Heuristic Search (2017) (25)
Preference-based Teaching (2016) (25)
The computational complexity of avoiding spurious states in state space abstraction (2010) (24)
Teaching Dimensions based on Cooperative Learning (2008) (23)
Towards a Better Understanding of Incremental Learning (2006) (20)
Stratified tree search: a novel suboptimal heuristic search algorithm (2013) (19)
Formal models of incremental learning and their analysis (2003) (17)
Relations between Gold-style learning and query learning (2005) (17)
Formal language identification: query learning vs. Gold-style learning (2004) (17)
Open Problem: Recursive Teaching Dimension Versus VC Dimension (2015) (15)
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space (2004) (14)
Replacing Limit Learners with Equally Powerful One-Shot Query Learners (2004) (14)
Systems analysis of the genetic interaction network of yeast molecular chaperones. (2018) (14)
The Complexity of Learning Acyclic CP-Nets (2016) (13)
Learning Relational Patterns (2011) (12)
Query Suggestion by Query Search: A New Approach to User Support in Web Search (2009) (12)
Optimal Collusion-Free Teaching (2019) (11)
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach (2011) (11)
Predicting Optimal Solution Cost with Bidirectional Stratified Sampling (Abstract) (2012) (11)
Algebraic methods proving Sauer's bound for teaching complexity (2014) (11)
Order compression schemes (2013) (10)
Improved Prediction of IDA*'s Performance via Epsilon-Truncation (2011) (10)
Some natural conditions on incremental learning (2007) (10)
On the Learnability of Erasing Pattern Languages in the Query Model (2003) (10)
Improved Prediction of IDA*'s Performance via -Truncation (2011) (10)
Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking (2009) (9)
On the Synthesis of Strategies Identifying Recursive Functions (2001) (9)
Distinguishing pattern languages with membership examples (2014) (9)
On the Teaching Complexity of Linear Sets (2015) (9)
Using Coarse State Space Abstractions to Detect Mutex Pairs (2013) (8)
Interactive Learning from Multiple Noisy Labels (2016) (8)
Separation of uniform learning classes (2004) (8)
Heuristic Subset Selection in Classical Planning (2016) (8)
Predicting optimal solution costs with bidirectional stratified sampling in regular search spaces (2016) (8)
Empirical Analysis of the Rank Distribution of Relevant Documents in Web Search (2008) (7)
PAC-Learning with General Class Noise Models (2012) (7)
Predicting optimal solution cost with conditional probabilities (2014) (7)
Detecting Mutex Pairs in State Spaces by Sampling (2013) (6)
The complexity of exact learning of acyclic conditional preference networks from swap examples (2020) (6)
A Polynomial-Time Algorithm for Computing the Resilience of Arrangements of Ray Sensors (2014) (6)
Prediction of retail prices of products using local competitors (2016) (6)
Learning without Coding (2010) (6)
Fast and Accurate Predictions of IDA*'s Performance (2012) (6)
A Partition Approach to Lower Bounds for Zero-Visibility Cops and Robber (2019) (5)
The Fast Search Number of a Complete k-Partite Graph (2018) (5)
New Results on the Zero-Visibility Cops and Robber Game (2019) (5)
Uniform learning of recursive functions (2003) (5)
What Is the Role of the Semantic Layer Cake for Guiding the Use of Knowledge Representation and Machine Learning in the Development of the Semantic Web? (2008) (5)
On the Comparison of Inductive Inference Criteria for Uniform Learning of Finite Classes (2001) (5)
Sauer's Bound for a Notion of Teaching Complexity (2012) (5)
Simultaneous Tracking and Activity Recognition (2011) (5)
Sample Compression for Multi-label Concept Classes (2014) (5)
Learning Heuristic Functions Faster by Using Predicted Solution Costs (2021) (4)
A Comparison of h 2 and MMM for Mutex Pair Detection Applied to Pattern Databases (2014) (4)
Generalizing Labeled and Unlabeled Sample Compression to Multi-label Concept Classes (2014) (4)
A general comparison of language learning from examples and from queries (2007) (4)
Improved Query Suggestion by Query Search (2012) (4)
Preference-based Teaching of Unions of Geometric Objects (2017) (4)
A simple method for proving lower bounds in the zero-visibility cops and robber game (2021) (3)
Partial learning of recursively enumerable languages (2013) (3)
An approach to intrinsic complexity of uniform learning (2006) (3)
Competitive Search in Symmetric Trees (2011) (3)
Indirect Trust is Simple to Establish (2019) (3)
Models of active learning in group-structured state spaces (2010) (3)
Incremental learning with temporary memory (2010) (3)
Predicting optimal solution cost with conditional probabilities Predicting optimal solution cost (2014) (3)
Security Issues for Pervasive Personalized Communication Systems (2005) (3)
Learning languages with queries (2002) (3)
Learning with Temporary Memory (2008) (3)
On the Optimal Efficiency of Cost-Algebraic A (2019) (3)
Fast Searching on Complete k-partite Graphs (2016) (3)
Gold-Style and Query Learning Under Various Constraints on the Target Class (2005) (3)
Learning Indexed Families of Recursive Languages from Positive Data by (2007) (3)
Computational Analysis of the Chaperone Interaction Networks. (2018) (3)
Classifying the Arithmetical Complexity of Teaching Models (2016) (3)
The Challenges Facing Deep Learning based Catheter Localization for Ultrasound Guided High-Dose-Rate Prostate Brachytherapy. (2022) (3)
Increasing the power of uniform inductive learners (2005) (3)
Merging Uniform Inductive Learners (2002) (2)
A Bayesian Concept Learning Approach to Crowdsourcing (2011) (2)
On Uniform Learning of Classes of Recursive Functions (2000) (2)
Robust Features for Detecting Evasive Spammers in Twitter (2014) (2)
Inferring Symbolic Automata (2020) (2)
Simultaneous Tracking and Activity Recognition with Relational Dynamic Bayesian Networks (2011) (2)
Polynomial-Time Algorithms for Learning Typed Pattern Languages (2012) (2)
Combining Direct Trust and Indirect Trust in Multi-Agent Systems (2020) (2)
Learning with Temporary Memory ( Expanded Version ) (2008) (2)
Downward Path Preserving State Space Abstractions (Extended Abstract) (2009) (2)
Precision-based Boosting (2021) (1)
Active Learning of Group-Structured Environments (2008) (1)
BibTutor – tutor assistance for research in information pools (2005) (1)
A Survey on Recent Results on Partial Learning (2015) (1)
Algorithmic Learning Theory (2015) (1)
BibTutor – tutor assistance for research in information pools (2005) (1)
Learning Models of Activities Involving Interacting Objects (2013) (1)
Finitely distinguishable erasing pattern languages (2020) (1)
Algorithmic Learning Theory (1993) (1)
Intrinsic Complexity of Uniform Learning (2003) (1)
Downward Path Preserving State Space Abstractions (2009) (1)
Erasing Pattern Languages Distinguishable by a Finite Number of Strings (2017) (1)
Combining Models of Approximation with Partial Learning (2015) (1)
Consistent and Conservative Iterative Learning (2006) (1)
On the Complexity of Symbolic Finite-State Automata (2020) (1)
Advances in Artificial Intelligence (2013) (0)
Algorithmic Learning Theory (1996) (0)
Using Change Detection to Adapt to Dynamically Changing Trustees (2022) (0)
Interactive Learning of Acyclic Conditional Preference Networks (2018) (0)
Preface (2011) (0)
Çò Øøø Óñôôöö×óò Óó Áòòù Blockinøøú Áòòòööò Ööøøööö Óö Íòòòóöñ Äääöòòòò Óó Òòøø Ðð×××× Ëëòòöö Ððð× Ööö Áòòóöññøøø Íòòúö××øø Ø Ããã××ö×ððùøøöò Èó×øøø ¿¼¼¼ ¹ ¿ Ããã××ö×ððùøøöò (2008) (0)
Algorithmic Learning Theory: 27th International Conference, ALT 2016 Bari, Italy, October 19-21, 2016 Proceedings (2016) (0)
Efficient Removal of Weak Associations in Consensus Clustering (2022) (0)
Inductive Inference (2008) (0)
An Empirical Study of the Effects of Spurious Transitions on Abstraction-based Heuristics (2017) (0)
A simple method for proving lower bounds in the zero-visibility cops and robber game (2021) (0)
A Gaussian process-based definition reveals new and bona fide genetic interactions compared to a multiplicative model in the Gram-negative Escherichia coli (2019) (0)
Algorithmic Learning Theory, 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009. Proceedings (2009) (0)
Predicting optimal solution cost with conditional probabilities (2014) (0)
Fast Searching on k-Combinable Graphs (2022) (0)
Foreword (2008) (0)
Algorithmic Learning Theory (2014) (0)
Proceedings of the 26th International Conference on Algorithmic Learning Theory - Volume 9355 (2015) (0)
The Complexity of Learning Acyclic Conditional Preference Networks (2018) (0)
Algorithmic Learning Theory (2002) (0)
Erratum: Learning without Coding (2011) (0)
A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension (2022) (0)
On Batch Teaching with Sample Complexity Bounded by VCD (2022) (0)
Motion Path Planning of Two Robot Arms in a Common Workspace (2020) (0)
Distinguishing Relational Pattern Languages With a Small Number of Short Strings (2022) (0)
Detecting Transmembrane Proteins Using Decision Trees (2015) (0)
Actively Learning Deep Neural Networks with Uncertainty Sampling Based on Sum-Product Networks (2022) (0)
Advances in Artificial Intelligence: 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, Canada, May 28-31, 2013. ... / Lecture Notes in Artificial Intelligence) (2013) (0)
Aggregating Preferences Represented by Conditional Preference Networks (2021) (0)
Ëëôôööøøóò Óó Ùòòòóöñ Ðððöòòòò Ðð×××× Ëëòòöö Ððð× (2008) (0)
Algorithmic Learning Theory (1995) (0)
Learning Recursive Functions by Thomas Zeugmann and Sandra Zilles Division of Computer Science Report Series A November (2007) (0)
Editors' Introduction (2014) (0)
Machine Learning to Identify Gene Interactions from High-Throughput Mutant Crosses. (2021) (0)
Time Complexity of Iterative-Deepening A*: The Informativeness Pathology (Abstract) (2011) (0)
The Fast Search Number of a Complete k-Partite Graph (2018) (0)
Fast searching on cactus graphs (2023) (0)
Algorithmic Learning: Formal Models and Prototypical Applications (2005) (0)
Advances in Artificial Intelligence: 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, Canada, May 28-31, 2013. Proceedings (2013) (0)
Algorithmic Learning Theory (2016) (0)
Algorithmic Learning Theory (1992) (0)

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