Marie desJardins
#33,557
Most Influential Person Now
American computer scientist
Marie desJardins's AcademicInfluence.com Rankings
Marie desJardinscomputer-science Degrees
Computer Science
#1547
World Rank
#1601
Historical Rank
#762
USA Rank
Artificial Intelligence
#174
World Rank
#178
Historical Rank
#77
USA Rank
Machine Learning
#1638
World Rank
#1660
Historical Rank
#116
USA Rank
Database
#8968
World Rank
#9429
Historical Rank
#1237
USA Rank
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Computer Science
Marie desJardins's Degrees
- PhD Computer Science University of California, Berkeley
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science University of California, Berkeley
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Why Is Marie desJardins Influential?
(Suggest an Edit or Addition)According to Wikipedia, Marie desJardins is an American computer scientist, known for her research on artificial intelligence and computer science education. She is also active in broadening participation in computing. Biography DesJardins grew up in Columbia, Maryland. She received an A. B. in Engineering and Computer Science from Harvard University in 1985. She received a Ph.D in Computer Science from University of Berkeley in 1992.
Marie desJardins'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
- A Survey of Research in Distributed, Continual Planning (1999) (277)
- Agent-organized networks for dynamic team formation (2005) (212)
- A Planner for Composing Services Described in DAML-S (2003) (173)
- A Call for Knowledge-Based Planning (2001) (142)
- Evaluation and selection of biases in machine learning (1995) (116)
- Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer (2008) (88)
- Active Constrained Clustering by Examining Spectral Eigenvectors (2005) (83)
- Prediction of Enzyme Classification from Protein Sequence without the Use of Sequence Similarity (1997) (83)
- Grounding English Commands to Reward Functions (2015) (77)
- Selective Transfer Between Learning Tasks Using Task-Based Boosting (2011) (63)
- Adapting Network Structure for Efficient Team Formation (2004) (56)
- Interactive visual clustering (2007) (55)
- Coordinating a Distributed Planning System (1999) (52)
- Temporal visualization of planning polygons for efficient partitioning of geo-spatial data (2005) (51)
- Democratic approximation of lexicographic preference models (2008) (50)
- Planning with Abstract Markov Decision Processes (2017) (47)
- Visualizing high-dimensional predictive model quality (2000) (45)
- Constrained Spectral Clustering under a Local Proximity Structure Assumption (2005) (45)
- Learning user preferences for sets of objects (2006) (40)
- Learning to trust in the competence and commitment of agents (2009) (40)
- Set-Based Boosting for Instance-Level Transfer (2009) (39)
- Local strategy learning in networked multi-agent team formation (2007) (39)
- Controlling Communication in Distributed Planning Using Irrelevance Reasoning (1998) (36)
- THE EFFECT OF NETWORK STRUCTURE ON DYNAMIC TEAM FORMATION IN MULTI‐AGENT SYSTEMS (2008) (35)
- Multi-view constrained clustering with an incomplete mapping between views (2012) (33)
- Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes (2015) (32)
- Visualizing Multivariate Time Series Data to Detect Specific Medical Conditions (2008) (32)
- Multi-view clustering with constraint propagation for learning with an incomplete mapping between views (2010) (30)
- DD-PREF: A Language for Expressing Preferences over Sets (2005) (29)
- Using Feature Hierarchies in Bayesian Network Learning (2000) (26)
- An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution matrices (2006) (25)
- What Makes Planners Predictable? (2008) (24)
- An animated multivariate visualization for physiological and clinical data in the ICU (2010) (23)
- PRep: a probabilistic reputation model for biased societies (2012) (23)
- Goal-Directed Learning: A Decision-Theoretic Model for Deciding What to Learn Next (1992) (22)
- Pagoda: A Model for Autonomous Learning in Probabilistic Domains (1993) (22)
- Visualizing Student Histories Using Clustering and Composition (2012) (22)
- LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES (2008) (21)
- Social Network Structures and Their Impact on Multi-Agent System Dynamics (2005) (20)
- CE21--Maryland: the state of computer science education in Maryland high schools (2013) (19)
- Planning-based Integrated Decision Support Systems (1994) (18)
- Prediction of mortality (2012) (17)
- Stable Team Formation Among Self-Interested Agents (2005) (16)
- Agent-Organized Networks for Multi-Agent Production and Exchange (2005) (16)
- Predicting and Controlling System-Level Parameters of Multi-Agent Systems (2009) (14)
- Learning Lexicographic Preference Models (2010) (14)
- Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence (2005) (13)
- Visualizing Diversity and Depth over a Set of Objects (2007) (13)
- Broadening student enthusiasm for computer science with a great insights course (2010) (13)
- Creating AP® CS principles (2015) (13)
- Data Clustering with a Relational Push-Pull Model (2007) (13)
- Amino acid quantitative structure property relationship database: a web-based platform for quantitative investigations of amino acids. (2007) (12)
- Team Formation in Complex Networks (2003) (12)
- Hybrid Planning: An Approach to Integrating Generative and Case-Based Planning (1998) (12)
- Heuristic Search and Information Visualization Methods for School Redistricting (2006) (11)
- A framework for predicting and controlling system-level properties of agent-based models (2010) (10)
- Rethinking Confidence-Building Measures (2014) (10)
- Modelling and learning user preferences over sets (2010) (10)
- Learning to Interpret Natural Language Instructions (2012) (10)
- More-or-Less CP-Networks (2007) (9)
- Confidence-Based Feature Acquisition to Minimize Training and Test Costs (2010) (9)
- Planning with Abstract Learned Models While Learning Transferable Subtasks (2019) (8)
- Probabilistic Evaluating of Bias for Learning Systems (1991) (8)
- Computer Science Principles Curricula: On-the-ground; adoptable; adaptable; approaches to teaching (2015) (8)
- Virtual Telescopes in Education (2006) (8)
- Three-Dimensional Visualization of Hierarchical Task Network Plans (2002) (8)
- A Trust Model for Supply Chain Management (2010) (7)
- How to succeed in graduate school (2008) (7)
- Rethinking confidence-building measures : obstacles to agreement and the risks of overselling the process (1996) (7)
- Controlling Particle Swarm Optimization with Learned Parameters (2009) (7)
- The Swarm Application Framework (2008) (7)
- Representing and Reasoning With Probabilistic Knowledge: A Bayesian Approach (1993) (7)
- Educational advances in artificial intelligence (2011) (7)
- Visualization of high-dimensional model characteristics (1999) (7)
- How to succeed in graduate school: a guide for students and advisors: part I of II (1994) (6)
- Selective knowledge transfer for machine learning (2009) (6)
- Learning Non-Explicit Control Parameters of Self-Organizing Systems (2009) (6)
- Social Networks and Multi-agent Organizational Performance (2004) (6)
- Block Modeling in Large Social Networks with Many Clusters (2012) (5)
- Translating English to Reward Functions (2014) (5)
- Visualization Support for Fusing Relational, Spatio-Temporal Data: Building Career Histories (2006) (5)
- Organizational learning and network adaptation in multi-agent systems (2005) (5)
- Using Multiresolution Learning for Transfer in Image Classification (2007) (5)
- Discovering High-level Parameters for Visualization Design (2005) (4)
- SOCAP: lessons learned in automating military operations planning (1993) (4)
- Multi-source option-based policy transfer (2013) (4)
- Incremental Scheduling for Virtual Telescopes in Education (2002) (4)
- Using a Trust Model in Decision Making for Supply Chain Management (2010) (4)
- A Digital Dashboard for Supporting Online Student Teamwork (2019) (4)
- Case Study : Teaching Research Skills to Computer Science Graduate Students (4)
- Introduction to the Special Issue on AI and Networks (2008) (3)
- Generative Models for Clustering: The Next Generation (2008) (3)
- How to succeed in graduate school: a guide for students and advisors: part II of II (1995) (3)
- Workshop summary: AAAI-92 Workshop on Constraining Learning with Prior Knowledge (1993) (3)
- A new model for trust and reputation: learning about competence and commitment (2009) (3)
- The Expected-Length Model of Options (2019) (3)
- State Case Study of Computing Education Governance (2019) (3)
- Understanding the Brain's Emergent Properties (2009) (3)
- Speaking of Relations : Connecting Statistical Relational Learning and Multi-Agent Systems (2006) (3)
- Question Asking to Inform Preference Learning: A Case Study (2009) (3)
- Knowledge Acquisition Tools for Planning Systems (2001) (3)
- Evaluation of learning biases using probabilistic domain knowledge (1994) (3)
- Playing to Program: Towards an Intelligent Programming Tutor for RUR-PLE (2011) (3)
- A Model for Competence and Integrity in Variable Payoff Games (2005) (3)
- Decision trees (2019) (3)
- Maryland Computing Education Growth From 2011–2016 (2018) (2)
- Origins, negotiations and implementation of the confidance-building measures of the Conference on Security and Co-operation in Europe (2001) (2)
- A Methodology to Analyze Self-Reflection in E-Portfolios (2020) (2)
- Learning Abstract Rules for Swarm Systems (2008) (2)
- Concept-Aware Feature Extraction for Knowledge Transfer in Reinforcement Learning (2018) (2)
- Evaluation and Selection of Biases in Machine Learning (2004) (2)
- The AAAI Fall Symposia (1999) (2)
- Stochastic and iterative techniques for relational data clustering (2009) (2)
- Visualizing Uncertainty in Predictive Models (2014) (2)
- Research Summary: Communication-Sensitive Decision Making in Multi-Agent, Real-Time Environments (2001) (2)
- Forming Stable, Overlapping Coalitions in an Open Multi-agent System (2007) (2)
- A Context-Sensitive and User-Centric Approach to Developing Personal Assistants (2005) (1)
- Confidence-Based Feature Acquisition (2010) (1)
- A Game Playing System for Use in Computer Science Education (2010) (1)
- Computation, complexity, and emergence: an interdisciplinary honors seminar (2013) (1)
- Machine Learning for Military Operations. (1997) (1)
- Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes (2016) (1)
- Using Agent-Based Simulation to Determine an Optimal Lane-Changing Strategy on a Multi-Lane Highway (2011) (1)
- The FAME Problem Domain for Distributed Planning (2007) (1)
- ACTIVE-ating Artificial Intelligence: Integrating Active Learning in an Introductory Course (2014) (1)
- Multivariate time-series analysis of physiological and clinical data (2012) (1)
- Discovering Subgoals in Complex Domains (2014) (1)
- Using AI to Motivate Greater Participation in Computer Science, Papers from the 2008 AAAI Spring Symposium, Technical Report SS-08-08, Stanford, California, USA, March 26-28, 2008 (2008) (1)
- Multi-view constrained clustering with an incomplete mapping between views (2012) (0)
- Maryland Computing Education Expansion: From Grassroots to the MCCE (2018) (0)
- Local Search and Information Visualization Methods for School Redistricting (0)
- PAGODA : A Model for Autonomous Learning inProbabilistic (1992) (0)
- Prediction of Enzyme Classi cation from Protein Sequence without Homology (1998) (0)
- 5 Conclusions 3 Student Modeling Machine Learning-based Adaptive Training Systems (0)
- Local Learning to Improve Organizational Performance in Networked Multiagent Team Formation (2005) (0)
- AAAI 2002 Workshops (2002) (0)
- A day in the life of … Marie DesJardins (2001) (0)
- A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence (2015) (0)
- Autonomous Hierarchical POMDP Planning from Low-Level Sensors (2013) (0)
- A Decision Framework for Broker Selection in Smart Grids (2012) (0)
- Evolutionary huffman encoding (2018) (0)
- Visualizing Spatial Partitions (2011) (0)
- AAAI-13 Preface (2013) (0)
- Board # 61 : T-SITE: A UMBC Community of Transfer Scholars in Computing, Information Technology, and Engineering (2017) (0)
- Modelling the Interaction of p-modes With Sunspots (2005) (0)
- Efficient planning using plan libraries to capture the structure of the state space (2009) (0)
- Research Directions in Interactive AI Marie (2002) (0)
- The Use of Relevance to Evaluate Learning Biases (2001) (0)
- A framework for decomposing reputation in MAS into competence and integrity (2005) (0)
- AAAI Spring Symposium - Technical Report: Preface (2006) (0)
- Letters to the Editor (1984) (0)
- Time-to-Degree: Some Suggestions for Keeping on Schedule as a PhD Student (2007) (0)
- How to succeed in graduate school: a guide for students and advisors, part I of II (1994) (0)
- Ensuring the proper fit and staying in the swim of things (1996) (0)
- Letters to the Editor (2000) (0)
- Ant Colony Optimization in a Changing Environment (2011) (0)
- Tailoring First-Year Seminars for Computing Majors (2014) (0)
- EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence (2011) (0)
- PAGODA : An Integrated Architecture for Autonomous Intelligent Agents (2002) (0)
- Starting and sustaining an undergraduate research program in computer science (abstract only) (2013) (0)
- A Simple Learning Approach for Endogenous Network Formation (2005) (0)
- Knowledge acquisition techniques for a military planning system (1994) (0)
- A Multi-Agent Team Formation Framework for Classroom Instruction ∗ (2008) (0)
- Algorithms for Learning Preferences for Sets of Objects (2010) (0)
- Measuring General Relational Structure Using the Block Modularity Clustering Objective (2009) (0)
- Negotiability Versus Negotiations (2014) (0)
- Integrating Top-Down Planning with a Bottom-Up Approach that Learns to Locally Combine Actions (2006) (0)
- SmartRate: a rating interpretation mechanism for agents in smart grid markets (2012) (0)
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