A Model For Generating Better Explanations. - Peter van Beek (ACL, 1987)

Approximation Algorithms for Temporal Reasoning. - Peter van Beek (IJCAI, 1989)

Reasoning about Qualitative Temporal Information. - Peter van Beek (AAAI, 1990)

Exact and approximate reasoning about temporal relations. - Peter van Beek; Robin Cohen (Comput. Intell., 1990)

Resolving Plan Ambiguity for Cooperative Response Generation. - Peter van Beek; Robin Cohen (IJCAI, 1991)

Temporal query processing with indefinite information. - Peter van Beek (Artif. Intell. Medicine, 1991)

Exploiting Temporal and Novel Information from the User in Plan Recognition. - Robin Cohen; Fei Song; Bruce Spencer; Peter van Beek (User Model. User Adapt. Interact., 1991)

On the Minimality and Decomposability of Constraint Networks. - Peter van Beek (AAAI, 1992)

From Plan Critiquing to Clarification Dialogue for Cooperative ResponseGeneration. - Peter van Beek; Robin Cohen; Ken Schmidt (Comput. Intell., 1993)

On the Inherent Level of Local Consistency in Constraint Networks. - Peter van Beek (AAAI, 1994)

Constraint Tightness versus Global Consistency. - Peter van Beek; Rina Dechter (KR, 1994)

Local and Global Relational Consistency. - Rina Dechter; Peter van Beek (CP, 1995)

A Theoretical Evaluation of Selected Backtracking Algorithms. - Grzegorz Kondrak; Peter van Beek (IJCAI, 1995)

On the Minimality and Decomposability of Row-Convex Constraint Networks. - Peter van Beek; Rina Dechter (J. ACM, 1995)

The Design and Experimental Analysis of Algorithms for Temporal Reasoning. - Peter van Beek; Dennis W. Manchak (J. Artif. Intell. Res., 1996)

Constraint tightness and looseness versus local and global consistency. - Peter van Beek; Rina Dechter (J. ACM, 1997)

On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems. - Fahiem Bacchus; Peter van Beek (AAAI/IAAI, 1998)

A Heuristic Incremental Modeling Approach to Course Timetabling. - Don Banks; Peter van Beek; Amnon Meisels (Canadian AI, 1998)

CPlan: A Constraint Programming Approach to Planning. - Peter van Beek; Xinguang Chen (AAAI/IAAI, 1999)

On the Design of Efficient Video-on-Demand Broadcast Schedules. - Ailan Hu; Ioanis Nikolaidis; Peter van Beek (MASCOTS, 1999)

Constraint Programming Lessons Learned from Crossword Puzzles. - Adam Beacham; Xinguang Chen; Jonathan Sillito; Peter van Beek (AI, 2001)

Constraint-Based Vehicle Assembly Line Sequencing. - Michael E. Bergen; Peter van Beek; Tom Carchrae (AI, 2001)

Fast Optimal Instruction Scheduling for Single-Issue Processors with Arbitrary Latencies. - Peter van Beek; Kent D. Wilken (CP, 2001)

The MPEG-7 colour structure descriptor: image description using colour and local spatial information. - Dean S. Messing; Peter van Beek; James H. Errico (ICIP (1), 2001)

Conflict-Directed Backjumping Revisited. - Xinguang Chen; Peter van Beek (J. Artif. Intell. Res., 2001)

Binary vs. non-binary constraints. - Fahiem Bacchus; Xinguang Chen; Peter van Beek; Toby Walsh (Artif. Intell., 2002)

An Efficient Bounds Consistency Algorithm for the Global Cardinality Constraint. - Claude-Guy Quimper; Peter van Beek; Alejandro López-Ortiz; Alexander Golynski; Sayyed Bashir Sadjad (CP, 2003)

Restart Strategies: Analysis and Simulation. - Huayue Wu; Peter van Beek (CP, 2003)

A Fast and Simple Algorithm for Bounds Consistency of the AllDifferent Constraint. - Alejandro López-Ortiz; Claude-Guy Quimper; John Tromp; Peter van Beek (IJCAI, 2003)

Metadata-driven multimedia access. - Peter van Beek; John R. Smith; Touradj Ebrahimi; Teruhiko Suzuki; Joel Askelöf (IEEE Signal Process. Mag., 2003)

A Domain Consistency Algorithm for the Stretch Constraint. - Lars Hellsten; Gilles Pesant; Peter van Beek (CP, 2004)

Improved Algorithms for the Global Cardinality Constraint. - Claude-Guy Quimper; Alejandro López-Ortiz; Peter van Beek; Alexander Golynski (CP, 2004)

Guiding Real-World SAT Solving with Dynamic Hypergraph Separator Decomposition. - Wei Li 002; Peter van Beek (ICTAI, 2004)

Adaptive streaming of high-quality video over wireless LANs. - Peter van Beek; Sachin Deshpande; Hao Pan 002; M. Ibrahim Sezan (VCIP, 2004)

Principles of Constraint Programming and Constraint Processing: A Review. - Peter van Beek; Toby Walsh (AI Mag., 2004)

Learning basic block scheduling heuristics from optimal data. - Tyrel Russell; Abid M. Malik; Michael Chase; Peter van Beek (CASCON, 2005)

Delay- constrained rate adaptation for robust video transmission over home networks. - Peter van Beek; Mehmet Umut Demircin (ICIP (2), 2005)

Optimized transcoding rate selection and packet scheduling for transmitting multiple video streams over a shared channel. - Mark Kalman; Bernd Girod; Peter van Beek (ICIP (1), 2005)

Bandwidth Estimation and Robust Video Streaming Over 802.11E Wireless Lans. - Mehmet Umut Demircin; Peter van Beek (ICME, 2005)

An Efficient Bounds Consistency Algorithm for the Global Cardinality Constraint. - Claude-Guy Quimper; Alexander Golynski; Alejandro López-Ortiz; Peter van Beek (Constraints An Int. J., 2005)

Performing Incremental Bayesian Inference by Dynamic Model Counting. - Wei Li 002; Peter van Beek; Pascal Poupart (AAAI, 2006)

Server-Side Playout Delay Management for Video Streaming. - Peter van Beek; Louis Kerofsky (ICIP, 2006)

High Definition Video Transmission over Wlans with Time-Scale and R-D Optimized Rate Adaptation. - Mehmet Umut Demircin; Peter van Beek (ICIP, 2006)

Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraing Programming. - Abid M. Malik; Jim McInnes; Peter van Beek (ICTAI, 2006)

Introduction to the Special Issue on Principles and Practice of Constraint Programming (CP 2005). - Barry O'Sullivan; Peter van Beek (Constraints An Int. J., 2006)

Backtracking Search Algorithms. - Peter van Beek (Handbook of Constraint Programming, 2006)

Introduction. - Francesca Rossi 001; Peter van Beek; Toby Walsh (Handbook of Constraint Programming, 2006)

On Universal Restart Strategies for Backtracking Search. - Huayue Wu; Peter van Beek (CP, 2007)

Distributed Channel Time Allocation and Rate Adaptation for Multi-User Video Streaming Over Wireless Home Networks. - Xiaoqing Zhu; Bernd Girod; Peter van Beek (ICIP (5), 2007)

On Portfolios for Backtracking Search in the Presence of Deadlines. - Huayue Wu; Peter van Beek (ICTAI (1), 2007)

Exploiting Causal Independence Using Weighted Model Counting. - Wei Li 002; Pascal Poupart; Peter van Beek (AAAI, 2008)

Mathematically Clinching a Playoff Spot in the NHL and the Effect of Scoring Systems. - Tyrel Russell; Peter van Beek (Canadian AI, 2008)

An Application of Constraint Programming to Superblock Instruction Scheduling. - Abid M. Malik; Michael Chase; Tyrel Russell; Peter van Beek (CP, 2008)

Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression. - Hiroyuki Takeda; Peter van Beek; Peyman Milanfar (ICIP, 2008)

Learning heuristics for basic block instruction scheduling. - Abid M. Malik; Tyrel Russell; Michael Chase; Peter van Beek (J. Heuristics, 2008)

Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraint Programming. - Abid M. Malik; Jim McInnes; Peter van Beek (Int. J. Artif. Intell. Tools, 2008)

Portfolios with Deadlines for Backtracking Search. - Huayue Wu; Peter van Beek (Int. J. Artif. Intell. Tools, 2008)

Delay-Constrained and R-D Optimized Transrating for High-Definition Video Streaming Over WLANs. - Mehmet Umut Demircin; Peter van Beek; Yucel Altunbasak (IEEE Trans. Multim., 2008)

Constraint Programming. - Francesca Rossi 001; Peter van Beek; Toby Walsh (Handbook of Knowledge Representation, 2008)

Determining the Number of Games Needed to Guarantee an NHL Playoff Spot. - Tyrel Russell; Peter van Beek (CPAIOR, 2009)

Learning Heuristics for the Superblock Instruction Scheduling Problem. - Tyrel Russell; Abid M. Malik; Michael Chase; Peter van Beek (IEEE Trans. Knowl. Data Eng., 2009)

A graph theoretic approach to cache-conscious placement of data for direct mapped caches. - Mirza Omer Beg; Peter van Beek (ISMM, 2010)

Image deblurring and denoising with non-local regularization constraint. - Peter van Beek; Junlan Yang; Shuhei Yamamoto; Yasuhiro Ueda (Visual Information Processing and Communication, 2010)

A Constraint Programming Approach for Instruction Assignment. - Mirza Omer Beg; Peter van Beek (Interaction between Compilers and Computer Architectures, 2011)

Finding Small Backdoors in SAT Instances. - Zijie Li; Peter van Beek (Canadian AI, 2011)

An Empirical Study of Seeding Manipulations and Their Prevention. - Tyrel Russell; Peter van Beek (IJCAI, 2011)

David L. Poole and Alan K. Mackworth, Artificial Intelligence: Foundations of Computational Agents , Cambridge University Press (2010). - Peter van Beek (Artif. Intell., 2011)

Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference. - Wei Li 002; Pascal Poupart; Peter van Beek (J. Artif. Intell. Res., 2011)

Image detail enhancement using a dictionary technique. - Anustup Choudhury; Peter van Beek; Andrew Segall (ICIP, 2012)

Detecting Manipulation in Cup and Round Robin Sports Competitions. - Tyrel Russell; Peter van Beek (ICTAI, 2012)

A hybrid constraint programming and enumeration approach for solving NHL playoff qualification and elimination problems. - Tyrel Russell; Peter van Beek (Eur. J. Oper. Res., 2012)

A computational study of heuristic and exact techniques for superblock instruction scheduling. - Michael Chase; Abid M. Malik; Tyrel Russell; R. Wayne Oldford; Peter van Beek (J. Sched., 2012)

Efficient defect detection with sign information of Walsh Hadamard transform. - Qiang Zhang; Peter van Beek; Chang Yuan; Xinyu Xu; Hae Jong Seo; Baoxin Li (Image Processing: Machine Vision Applications, 2013)

Constraint Programming in Compiler Optimization: Lessons Learned. - Peter van Beek (ICTAI, 2013)

A constraint programming approach for integrated spatial and temporal scheduling for clustered architectures. - Mirza Omer Beg; Peter van Beek (ACM Trans. Embed. Comput. Syst., 2013)

Direct Matrix Factorization and Alignment Refinement: Application to Defect Detection. - Zhen Qin; Peter van Beek; Xu Chen (CRV, 2014)

An extensive empirical evaluation of focus measures for digital photography. - Hashim Mir; Peter Xu 002; Peter van Beek (Digital Photography, 2014)

High-speed object matching and localization using gradient orientation features. - Xinyu Xu; Peter van Beek; Xiaofan Feng (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2014)

An Improved Machine Learning Approach for Selecting a Polyhedral Model Transformation. - Ray Ruvinskiy; Peter van Beek (Canadian AI, 2015)

Machine Learning of Bayesian Networks Using Constraint Programming. - Peter van Beek; Hella-Franziska Hoffmann (CP, 2015)

Facial video super resolution using semantic exemplar components. - Xu Chen; Anustup Choudhury; Peter van Beek; Andrew Segall (ICIP, 2015)

An autofocus heuristic for digital cameras based on supervised machine learning. - Hashim Mir; Peter Xu 002; Rudi Chen; Peter van Beek (J. Heuristics, 2015)

Improving the accuracy and low-light performance of contrast-based autofocus using supervised machine learning. - Rudi Chen; Peter van Beek (Pattern Recognit. Lett., 2015)

Boosting performance and speed of single-image super-resolution based on partitioned linear regression. - Anustup Choudhury; Peter van Beek (ICIP, 2016)

Constrained clustering for flocking-based tracking in maneuvering target environment. - Samaneh Hosseini Semnani; Otman A. Basir; Peter van Beek (Robotics Auton. Syst., 2016)

A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial Optimization. - Jianmei Guo; Eric Blais; Krzysztof Czarnecki 001; Peter van Beek (Canadian AI, 2017)

Metaheuristics for Score-and-Search Bayesian Network Structure Learning. - Colin Lee; Peter van Beek (Canadian AI, 2017)

An Experimental Analysis of Anytime Algorithms for Bayesian Network Structure Learning. - Colin Lee; Peter van Beek (AMBN, 2017)

Real-time mobile robot navigation based on stereo vision and low-cost GPS. - Soonhac Hong; Ming Li; Miao Liao; Peter van Beek (IRIACV, 2017)

Improved image selection for focus stacking in digital photography. - David Choi; Aliya Pazylbekova; Wuhan Zhou; Peter van Beek (ICIP, 2017)

Illuminant Estimation using Ensembles of Multivariate Regression Trees. - Peter van Beek; R. Wayne Oldford (Computational Imaging, 2018)

Finding All Bayesian Network Structures within a Factor of Optimal. - Zhenyu A. Liao; Charupriya Sharma; James Cussens; Peter van Beek (AAAI, 2019)

Improved image selection for stack-based HDR imaging. - Peter van Beek (Photography, Mobile, and Immersive Imaging, 2019)

Image-based compression of LiDAR sensor data. - Peter van Beek (Autonomous Vehicles and Machines, 2019)

Towards Standardization of AV Safety: C++ Library for Responsibility Sensitive Safety. - Bernd Gaßmann; Fabian Oboril; Cornelius Bürkle; Shuang Liu; Shoumeng Yan; Maria Soledad Elli; Ignacio J. Alvarez; Naveen Aerrabotu; Suhel Jaber; Peter van Beek; Darshan Iyer; Jack Weast (IV, 2019)

A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. - Charupriya Sharma; Zhenyu A. Liao; James Cussens; Peter van Beek (PGM, 2020)

Learning All Credible Bayesian Network Structures for Model Averaging. - Zhenyu A. Liao; Charupriya Sharma; James Cussens; Peter van Beek (CoRR, 2020)

Boosting computer vision performance by enhancing camera ISP. - Peter van Beek; Chyuan-Tyng (Roger) Wu; Baishali Chaudhury; Thomas R. Gardos (Autonomous Vehicles and Machines, 2021)

Evaluation of semi-frozen semi-fixed neural network for efficient computer vision inference. - Chyuan-Tyng Wu; Peter van Beek; Phillip Schmidt 002; Joao Peralta Moreira; Thomas R. Gardos (Autonomous Vehicles and Machines, 2021)

On identifying significant edges for structure learning in Bayesian networks. - Zhenyu Liao; Junyao Duan; Peter van Beek (Canadian AI, 2022)

An empirical study of scoring functions for learning Bayesian networks in model averaging. - Zhenyu A. Liao; Charupriya Sharma; Dongshu Luo; Peter van Beek (Canadian AI, 2022)

Efficient high-dynamic-range depth map processing with reduced precision neural net accelerator. - Peter van Beek; Chyuan-Tyng Wu; Avi Kalderon (Autonomous Vehicles and Machines, 2022)

Scalable Bayesian Network Structure Learning with Splines. - Charupriya Sharma; Peter van Beek (PGM, 2022)