DIVACE: Diverse and Accurate Ensemble Learning Algorithm. - Arjun Chandra; Xin Yao 001 (IDEAL, 2004)

Evolutionary framework for the construction of diverse hybrid ensembles. - Arjun Chandra; Xin Yao 001 (ESANN, 2005)

Evolving hybrid ensembles of learning machines for better generalisation. - Arjun Chandra; Xin Yao 001 (Neurocomputing, 2006)

Ensemble Learning Using Multi-Objective Evolutionary Algorithms. - Arjun Chandra; Xin Yao 001 (J. Math. Model. Algorithms, 2006)

Trade-Off Between Diversity and Accuracy in Ensemble Generation. - Arjun Chandra; Huanhuan Chen; Xin Yao 001 (Multi-Objective Machine Learning, 2006)

Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game. - Arjun Chandra; Pietro Simone Oliveto; Xin Yao 001 (EvoApplications (1), 2010)

A Survey of Self-Awareness and Its Application in Computing Systems. - Peter R. Lewis 001; Arjun Chandra; Shaun Parsons; Edward Robinson; Kyrre Glette; Rami Bahsoon; Jim Tørresen; Xin Yao 001 (SASO Workshops, 2011)

A methodical framework for engineering co-evolution for simulating socio-economic game playing agents. - Arjun Chandra (2011)

Market-Based Control in Interactive Music Environments. - Arjun Chandra; Kristian Nymoen; Arve Voldsund; Alexander Refsum Jensenius; Kyrre Glette; Jim Tørresen (CMMR, 2012)

EPiCS: Engineering Proprioception in Computing Systems. - Tobias Becker; Andreas Agne; Peter R. Lewis 001; Rami Bahsoon; Funmilade Faniyi; Lukas Esterle; Ariane Keller; Arjun Chandra; Alexander Refsum Jensenius; Stephan C. Stilkerich (CSE, 2012)

Exposing market mechanism design trade-offs via multi-objective evolutionary search. - Arjun Chandra; Richard Allmendinger 001; Peter R. Lewis 001; Xin Yao 001; Jim Tørresen (IEEE Congress on Evolutionary Computation, 2013)

An ant learning algorithm for gesture recognition with one-instance training. - Sichao Song 001; Arjun Chandra; Jim Tørresen (IEEE Congress on Evolutionary Computation, 2013)

Can Diversity amongst Learners Improve Online Object Tracking? - Georg Nebehay; Walter Chibamu; Peter R. Lewis 001; Arjun Chandra; Roman P. Pflugfelder; Xin Yao 001 (MCS, 2013)

Learning to be Different: Heterogeneity and Efficiency in Distributed Smart Camera Networks. - Peter R. Lewis 001; Lukas Esterle; Arjun Chandra; Bernhard Rinner; Xin Yao 001 (SASO, 2013)

The Challenge of Decentralised Synchronisation in Interactive Music Systems. - Kristian Nymoen; Arjun Chandra; Jim Tørresen (SASO Workshops, 2013)

Decentralized harmonic synchronization in mobile music systems. - Kristian Nymoen; Arjun Chandra; Kyrre Glette; Jim Tørresen (iCAST, 2014)

PheroMusic: Navigating a Musical Space for Active Music Experiences. - Kristian Nymoen; Arjun Chandra; Kyrre Glette; Jim Tørresen; Arve Voldsund; Alexander Refsum Jensenius (ICMC, 2014)

A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning. - Kristof Van Moffaert; Tim Brys; Arjun Chandra; Lukas Esterle; Peter R. Lewis 001; Ann Nowé (IJCNN, 2014)

Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering. - Peter R. Lewis 001; Arjun Chandra; Funmilade Faniyi; Kyrre Glette; Tao Chen 001; Rami Bahsoon; Jim Tørresen; Xin Yao 001 (Computer, 2015)

Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks. - Peter R. Lewis 001; Lukas Esterle; Arjun Chandra; Bernhard Rinner; Jim Tørresen; Xin Yao 001 (ACM Trans. Auton. Adapt. Syst., 2015)

Reference Architecture for Self-aware and Self-expressive Computing Systems. - Arjun Chandra; Peter R. Lewis 001; Kyrre Glette; Stephan C. Stilkerich (Self-aware Computing Systems, 2016)

Relationships to Other Concepts. - Kyrre Glette; Peter R. Lewis 001; Arjun Chandra (Self-aware Computing Systems, 2016)

Self-awareness and Self-expression: Inspiration from Psychology. - Peter R. Lewis 001; Arjun Chandra; Kyrre Glette (Self-aware Computing Systems, 2016)

Self-awareness in Active Music Systems. - Kristian Nymoen; Arjun Chandra; Jim Tørresen (Self-aware Computing Systems, 2016)

Efficient Parallel Methods for Deep Reinforcement Learning. - Alfredo V. Clemente; Humberto Nicolás Castejón Martínez; Arjun Chandra (CoRR, 2017)

Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval. - Daniel Lee; Arjun Chandra; Yang Zhou; Yunyao Li 001; Simone Conia (AAAI, 2025)

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning. - Shengao Wang; Arjun Chandra; Aoming Liu; Venkatesh Saligrama; Boqing Gong (CoRR, 2025)