Using Evolutionary Computation to Generate Training Set Data for Neural Networks. - Dan Ventura; Tim Andersen; Tony R. Martinez (ICANNGA, 1995)

Robust optimization using training set evolution. - Dan Ventura; Tony R. Martinez (ICNN, 1996)

An Artificial Neuron with Quantum Mechanical Properties. - Dan Ventura; Tony R. Martinez (ICANNGA, 1997)

A Quantum Associative Memory Based on Grover's Algorithm. - Dan Ventura; Tony R. Martinez (ICANNGA, 1999)

Implementing competitive learning in a quantum system. - Dan Ventura (IJCNN, 1999)

A neural model of centered tri-gram speech recognition. - Dan Ventura; D. Randall Wilson; Brian Moncur; Tony R. Martinez (IJCNN, 1999)

The robustness of relaxation rates in constraint satisfaction networks. - D. Randall Wilson; Dan Ventura; Brian Moncur; Tony R. Martinez (IJCNN, 1999)

Quantum associative memory with distributed queries. - A. A. Ezhov; A. V. Nifanova; Dan Ventura (Inf. Sci., 2000)

Quantum computing and neural information processing. - Dan Ventura; Subhash C. Kak (Inf. Sci., 2000)

Quantum associative memory. - Dan Ventura; Tony R. Martinez (Inf. Sci., 2000)

Pattern Classification Using a Quantum System. - Dan Ventura (JCIS, 2002)

Dynamic Joint Action Perception for Q-Learning Agents. - Nancy Fulda; Dan Ventura (ICMLA, 2003)

Training a Quantum Neural Network. - Bob Ricks; Dan Ventura (NIPS, 2003)

Incremental policy learning: an equilibrium selection algorithm for reinforcement learning agents with common interests. - Nancy Fulda; Dan Ventura (IJCNN, 2004)

Choosing a starting configuration for particle swarm optimization. - Mark Richards; Dan Ventura (IJCNN, 2004)

Learning multiple correct classifications from incomplete data using weakened implicit negatives. - Stephen Whiting; Dan Ventura (IJCNN, 2004)

A practical generalization of Fourier-based learning. - Adam Drake; Dan Ventura (ICML, 2005)

Effectively using recurrently-connected spiking neural networks. - Eric Goodman; Dan Ventura (IJCNN, 2005)

Edge inference for image interpolation. - Neil Toronto; Dan Ventura; Bryan S. Morse (IJCNN, 2005)

Fast and Robust Incremental Action Prediction for Interactive Agents. - Jonathan Dinerstein; Dan Ventura; Parris K. Egbert (Comput. Intell., 2005)

Learning Quantum Operators From Quantum State Pairs. - Neil Toronto; Dan Ventura (IEEE Congress on Evolutionary Computation, 2006)

Learning a Rendezvous Task with Dynamic Joint Action Perception. - Nancy Fulda; Dan Ventura (IJCNN, 2006)

Spatiotemporal Pattern Recognition via Liquid State Machines. - Eric Goodman; Dan Ventura (IJCNN, 2006)

Preparing More Effective Liquid State Machines Using Hebbian Learning. - David Norton; Dan Ventura (IJCNN, 2006)

Geometric Task Decomposition in a Multi-Agent Environment. - Kaivan Kamali; Dan Ventura; Amulya Garga; Soundar R. T. Kumara (Appl. Artif. Intell., 2006)

The Hough Transform's Implicit Bayesian Foundation. - Neil Toronto; Bryan S. Morse; Dan Ventura; Kevin D. Seppi (ICIP (4), 2007)

Learning Policies for Embodied Virtual Agents through Demonstration. - Jonathan Dinerstein; Parris K. Egbert; Dan Ventura (IJCAI, 2007)

Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. - Nancy Fulda; Dan Ventura (IJCAI, 2007)

Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. - Michael Gashler; Dan Ventura; Tony R. Martinez (NIPS, 2007)

ADtrees for sequential data and n-gram Counting. - Robert Van Dam; Dan Ventura (SMC, 2007)

Robust multi-modal biometric fusion via multiple SVMs. - Sabra Dinerstein; Jonathan Dinerstein; Dan Ventura (SMC, 2007)

A data-dependent distance measure for transductive instance-based learning. - Jared Lundell; Dan Ventura (SMC, 2007)

Adapting ADtrees for High Arity Features. - Robert Van Dam; Irene Langkilde-Geary; Dan Ventura (AAAI, 2008)

Data-Driven Programming and Behavior for Autonomous Virtual Characters. - Jonathan Dinerstein; Parris K. Egbert; Dan Ventura; Michael A. Goodrich (AAAI, 2008)

Sub-symbolic Re-representation to Facilitate Learning Transfer. - Dan Ventura (AAAI Spring Symposium: Creative Intelligent Systems, 2008)

Organizing Committee. - Dan Ventura; Mary Lou Maher; Simon Colton (AAAI Spring Symposium: Creative Intelligent Systems, 2008)

Preface. - Dan Ventura; Mary Lou Maher; Simon Colton (AAAI Spring Symposium: Creative Intelligent Systems, 2008)

Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment. - Adam Drake; Eric K. Ringger; Dan Ventura (ICSC, 2008)

AAAI 2008 Spring Symposia Reports. - Marcello Balduccini; Chitta Baral; Boyan Brodaric; Simon Colton; Peter Fox 001; David Gutelius; Knut Hinkelmann; Ian Horswill; Bernardo A. Huberman; Eva Hudlicka; Kristina Lerman; Christine L. Lisetti; et al. (AI Mag., 2008)

Demonstration-Based Behavior Programming for Embodied Virtual Agents. - Jonathan Dinerstein; Parris K. Egbert; Dan Ventura; Michael A. Goodrich (Comput. Intell., 2008)

A sub-symbolic model of the cognitive processes of re-representation and insight. - Dan Ventura (Creativity & Cognition, 2009)

Super-resolution via recapture and Bayesian effect modeling. - Neil Toronto; Bryan S. Morse; Kevin D. Seppi; Dan Ventura (CVPR, 2009)

Real-time Automatic Price Prediction for eBay Online Trading. - Ilya Raykhel; Dan Ventura (IAAI, 2009)

Search Techniques for Fourier-Based Learning. - Adam Drake; Dan Ventura (IJCAI, 2009)

Music recommendation and query-by-content using Self-Organizing Maps. - Kyle B. Dickerson; Dan Ventura (IJCNN, 2009)

Improving the separability of a reservoir facilitates learning transfer. - David Norton; Dan Ventura (IJCNN, 2009)

Automatic Generation of Music for Inducing Emotive Response. - Kristine Monteith; Tony R. Martinez; Dan Ventura (ICCC, 2010)

Establishing Appreciation in a Creative System. - David Norton; Derrall Heath; Dan Ventura (ICCC, 2010)

Noninvasive diagnosis of pulmonary hypertension using heart sound analysis. - Aaron W. Dennis; Andrew D. Michaels; Patti Arand; Dan Ventura (Comput. Biol. Medicine, 2010)

Cognitive and Behavioral Model Ensembles for Autonomous Virtual Characters. - Jeffrey S. Whiting; Jonathan Dinerstein; Parris K. Egbert; Dan Ventura (Comput. Intell., 2010)

Improving liquid state machines through iterative refinement of the reservoir. - David Norton; Dan Ventura (Neurocomputing, 2010)

An artistic dialogue with the artificial. - David Norton; Derrall Heath; Dan Ventura (Creativity & Cognition, 2011)

Fitness function: turning the loop inside out. - David Norton; Derrall Heath; Dan Ventura (Creativity & Cognition, 2011)

Automatic Generation of Emotionally-Targeted Soundtracks. - Kristine Monteith; Virginia Francisco; Tony R. Martinez; Pablo Gervás; Dan Ventura (ICCC, 2011)

Autonomously Creating Quality Images. - David Norton; Derrall Heath; Dan Ventura (ICCC, 2011)

No Free Lunch in the Search for Creativity. - Dan Ventura (ICCC, 2011)

A SOM-based multimodal system for musical query-by-content. - Kyle B. Dickerson; Dan Ventura (IJCNN, 2011)

Manifold Learning by Graduated Optimization. - Michael Gashler; Dan Ventura; Tony R. Martinez (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Rational Irrationality. - Dan Ventura (AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health, 2012)

Algorithmically Flexible Style Composition Through Multi-Objective Fitness Functions. - Skyler Murray; Dan Ventura (MUME@AIIDE, 2012)

Automatic Generation of Melodic Accompaniments for Lyrics. - Kristine Monteith; Tony R. Martinez; Dan Ventura (ICCC, 2012)

Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef. - Richard G. Morris; Scott H. Burton; Paul M. Bodily; Dan Ventura (ICCC, 2012)

Automatic Composition from Non-musical Inspiration Sources. - Robert Smith 001; Aaron W. Dennis; Dan Ventura (ICCC, 2012)

Learning the Architecture of Sum-Product Networks Using Clustering on Variables. - Aaron W. Dennis; Dan Ventura (NIPS, 2012)

Phylogenetic search through partial tree mixing. - Kenneth Sundberg; Mark J. Clement; Quinn Snell; Dan Ventura; Michael Whiting; Keith A. Crandall (BMC Bioinform., 2012)

A direct boosting algorithm for the k-nearest neighbor classifier via local warping of the distance metric. - Toh Koon Charlie Neo; Dan Ventura (Pattern Recognit. Lett., 2012)

Automatic Generation of Music for Inducing Physiological Response. - Kristine Monteith; Bruce Brown; Dan Ventura; Tony R. Martinez (CogSci, 2013)

Autonomously Communicating Conceptual Knowledge Through Visual Art. - Derrall Heath; David Norton; Dan Ventura (ICCC, 2013)

An Empirical Comparison of Spectral Learning Methods for Classification. - Adam Drake; Dan Ventura (ICMLA (1), 2013)

Semantic Models as a Combination of Free Association Norms and Corpus-Based Correlations. - Derrall Heath; David Norton; Eric K. Ringger; Dan Ventura (ICSC, 2013)

Statistical agglomeration: peak summarization for direct infusion lipidomics. - Robert Smith 001; Tamil S. Anthonymuthu; Dan Ventura; John T. Prince (Bioinform., 2013)

Novel algorithms and the benefits of comparative validation. - Robert Smith 001; Dan Ventura; John T. Prince (Bioinform., 2013)

A general model for continuous noninvasive pulmonary artery pressure estimation. - Robert Smith 001; Dan Ventura (Comput. Biol. Medicine, 2013)

Novel Feature Descriptor for Low-Resource Embedded Vision Sensors for Micro Unmanned-Aerial-Vehicle Applications. - Spencer G. Fowers; Dah-Jye Lee; Dan A. Ventura; Beau J. Tippetts (J. Aerosp. Inf. Syst., 2013)

Rubabel: Wrapping OpenBabel with Ruby. - Robert Smith 001; Ryan Williamson; Dan Ventura; John T. Prince (J. Cheminformatics, 2013)

Adapting ADtrees for improved performance on large datasets with high-arity features. - Robert Van Dam; Irene Langkilde-Geary; Dan Ventura (Knowl. Inf. Syst., 2013)

The Nature-Inspired BASIS Feature Descriptor for UAV Imagery and Its Hardware Implementation. - Spencer G. Fowers; Dah-Jye Lee; Dan A. Ventura; James K. Archibald (IEEE Trans. Circuits Syst. Video Technol., 2013)

Can a Computer be Lucky? And Other Ridiculous Questions Posed by Computational Creativity. - Dan Ventura (AGI, 2014)

Nehovah: A Neologism Creator Nomen Ipsum. - Michael R. Smith 002; Ryan S. Hintze; Dan Ventura (ICCC, 2014)

You Can't Know my Mind: A Festival of Computational Creativity. - Simon Colton; Dan Ventura (ICCC, 2014)

Musical Motif Discovery in Non-musical Media. - Daniel Johnson; Dan Ventura (ICCC, 2014)

Autonomously Managing Competing Objectives to Improve the Creation and Curation of Artifacts. - David Norton; Derrall Heath; Dan Ventura (ICCC, 2014)

Improving Spectral Learning by Using Multiple Representations. - Adam Drake; Dan Ventura (ICMLA, 2014)

Using Spectral Features to Improve Sentiment Analysis. - Adam Drake; Dan Ventura (ICMLA, 2014)

Matching Affine Features with the SYBA Feature Descriptor. - Alok Desai; Dah-Jye Lee; Dan Ventura (ISVC (2), 2014)

Controlling for confounding variables in MS-omics protocol: why modularity matters. - Robert Smith 001; Dan Ventura; John T. Prince (Briefings Bioinform., 2014)

Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view. - Robert Smith 001; Andrew D. Mathis; Dan Ventura; John T. Prince (BMC Bioinform., 2014)

Improving Multilabel Classification by Avoiding Implicit Negativity with Incomplete Data. - Derrall Heath; Dan Ventura (Comput. Intell., 2014)

TreeBASIS Feature Descriptor and Its Hardware Implementation. - Spencer G. Fowers; Alok Desai; Dah-Jye Lee; Dan Ventura; James K. Archibald (Int. J. Reconfigurable Comput., 2014)

Efficient Tree-Based Feature Descriptor and Matching Algorithm. - Spencer G. Fowers; Alok Desai; Dah-Jye Lee; Dan Ventura; Doran Wilde (J. Aerosp. Inf. Syst., 2014)

Conveying Semantics through Visual Metaphor. - Derrall Heath; David Norton; Dan Ventura (ACM Trans. Intell. Syst. Technol., 2014)

The Painting Fool Sees! New Projects with the Automated Painter. - Simon Colton; Jakob Halskov; Dan Ventura; Ian Gouldstone; Michael Cook 001; Blanca Pérez Ferrer (ICCC, 2015)

Imagining Imagination: A Computational Framework Using Associative Memory Models and Vector Space Models. - Derrall Heath; Aaron W. Dennis; Dan Ventura (ICCC, 2015)

The man behind the curtain: Overcoming skepticism about creative computers. - Martin Mumford; Dan Ventura (ICCC, 2015)

Accounting for Bias in the Evaluation of Creative Computational Systems: An Assessment of DARCI. - David Norton; Derrall Heath; Dan Ventura (ICCC, 2015)

Data-Driven Kernels via Semi-supervised Clustering on the Manifold. - Jared Lundell; Charles DuHadway; Dan Ventura (ICMLA, 2015)

Greedy Structure Search for Sum-Product Networks. - Aaron W. Dennis; Dan Ventura (IJCAI, 2015)

LC-MS alignment in theory and practice: a comprehensive algorithmic review. - Robert Smith 001; Dan Ventura; John T. Prince (Briefings Bioinform., 2015)

A coherent mathematical characterization of isotope trace extraction, isotopic envelope extraction, and LC-MS correspondence. - Robert Smith 001; John T. Prince; Dan Ventura (BMC Bioinform., 2015)

Creating Images by Learning Image Semantics Using Vector Space Models. - Derrall Heath; Dan Ventura (AAAI, 2016)

Beyond computational intelligence to computational creativity in games. - Dan Ventura (CIG, 2016)

Before A Computer Can Draw, It Must First Learn To See. - Derrall Heath; Dan Ventura (ICCC, 2016)

Mere Generation: Essential Barometer or Dated Concept? - Dan Ventura (ICCC, 2016)

ScaffoldScaffolder: solving contig orientation via bidirected to directed graph reduction. - Paul M. Bodily; M. Stanley Fujimoto; Quinn Snell; Dan Ventura; Mark J. Clement (Bioinform., 2016)

Musical Motif Discovery from Non-Musical Inspiration Sources. - Daniel Johnson; Dan Ventura (Comput. Entertain., 2016)

An efficient feature descriptor based on synthetic basis functions and uniqueness matching strategy. - Alok Desai; Dah-Jye Lee; Dan Ventura (Comput. Vis. Image Underst., 2016)

Semantic Style Creation. - Derrall Heath; Dan Ventura (AAAI Workshops, 2017)

Teaching Computational Creativity. - Margareta Ackerman; Ashok K. Goel 001; Colin G. Johnson; Anna Jordanous; Carlos León 002; Rafael Pérez y Pérez; Hannu Toivonen; Dan Ventura (ICCC, 2017)

Text Transformation Via Constraints and Word Embedding. - Benjamin Bay; Paul M. Bodily; Dan Ventura (ICCC, 2017)

Computational Creativity via Human-Level Concept Learning. - Paul M. Bodily; Benjamin Bay; Dan Ventura (ICCC, 2017)

How to Build a CC System. - Dan Ventura (ICCC, 2017)

Online Structure-Search for Sum-Product Networks. - Aaron W. Dennis; Dan Ventura (ICMLA, 2017)

Autoencoder-Enhanced Sum-Product Networks. - Aaron W. Dennis; Dan Ventura (ICMLA, 2017)

Ethics as Aesthetic for Artificial General Intelligence. - Dan Ventura (AAAI Spring Symposia, 2018)

Explainability: An Aesthetic for Aesthetics in Computational Creative Systems. - Paul M. Bodily; Dan Ventura (ICCC, 2018)

Ethics as Aesthetic: A Computational Creativity Approach to Ethical Behavior. - Dan Ventura; Darin Gates (ICCC, 2018)

An HBPL-based Approach to the Creation of Six-word Stories. - Nathan Zabriskie; Brad Spendlove; Dan Ventura (ICCC, 2018)

Data Musicalization. - Aurora Tulilaulu; Matti Nelimarkka; Joonas Paalasmaa; Daniel Johnson; Dan Ventura; Petri Myllys; Hannu Toivonen (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Autonomous Intentionality in Computationally Creative Systems. - Dan Ventura (Computational Creativity, 2019)

Modeling Knowledge, Expression, and Aesthetics via Sensory Grounding. - Brad Spendlove; Dan Ventura (ICCC, 2019)

Adapting Standard External Clustering Metrics for Repetitive, Noisy Observations. - Robert Smith 001; Jebediah Rosen; Dan Ventura (ICMLA, 2019)

Dynamically Scoring Rhymes with Phonetic Features and Sequence Alignment. - Benjamin Bay; Paul M. Bodily; Dan Ventura (ICTAI, 2019)

Towards transformational creation of novel songs. - Jukka M. Toivanen; Matti Järvisalo; Olli Alm; Dan Ventura; Martti Vainio; Hannu Toivonen (Connect. Sci., 2019)

What Happens When a Computer Joins the Group? - Paul M. Bodily; Dan Ventura (ICCC, 2020)

A Speculative Exploration of the Role of Dialogue in Human-ComputerCo-creation. - Oliver Bown 001; Kazjon Grace; Liam Bray; Dan Ventura (ICCC, 2020)

Creating Six-word Stories via Inferred Linguistic and Semantic Formats. - Brad Spendlove; Dan Ventura (ICCC, 2020)

Humans in the Black Box: A New Paradigm for Evaluating the Design of Creative Systems. - Brad Spendlove; Dan Ventura (ICCC, 2020)

Inferring Structural Constraints in Musical Sequences via Multiple Self-Alignment. - Paul M. Bodily; Dan Ventura (CogSci, 2021)

Ideation via Critic-Based Exploration of Generator Latent Space. - Puneet Jain; Najma Mathema; Jonathan Skaggs; Dan Ventura (ICCC, 2021)

Multi-agent Story-based Settlement Generation. - Jonathan Demke; Robert Morain; Connor Wilhelm; Dan Ventura (ICTAI, 2021)

Open Computational Creativity Problems in Computational Theory. - Paul M. Bodily; Dan Ventura (ICCC, 2022)

Ethics, Aesthetics and Computational Creativity. - Daniel G. Brown 001; Dan Ventura (ICCC, 2022)

Competitive Language Games as Creative Tasks with Well-Defined Goals. - Brad Spendlove; Dan Ventura (ICCC, 2022)

Symbolic Semantic Memory in Transformer Language Models. - Robert Morain; Kenneth Vargas; Dan Ventura (ICMLA, 2022)

Steerable Music Generation which Satisfies Long-Range Dependency Constraints. - Paul M. Bodily; Dan Ventura (Trans. Int. Soc. Music. Inf. Retr., 2022)

Transformational Creativity Through the Lens of Quality-Diversity. - Jonathan Demke; Kazjon Grace; Francisco Ibarrola; Dan Ventura (ICCC, 2023)

Are Language Models Unsupervised Multi-domain CC Systems? - Robert Morain; Branden Kinghorn; Dan Ventura (ICCC, 2023)

Constraints as Catalysts: A (De)Construction of Codenames as a Creative Task. - Brad Spendlove; Dan Ventura (ICCC, 2023)

The Emperor's New Co-Author. - Dan Ventura (ICCC, 2023)

Gaining Expertise through Task Re-Representation. - Connor Wilhelm; Dan Ventura (ICCC, 2023)

Drawing with Reframer: Emergence and Control in Co-Creative AI. - Tomas Lawton; Francisco Javier Ibarrola; Dan Ventura; Kazjon Grace (IUI, 2023)

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition. - Paul M. Bodily; Dan Ventura (AAAI, 2024)

PAGES: Enhancing Literary Experience with Ambient Music. - Cayden Blake; Grant Lewis; Chase Westhoff; Dan Ventura (ICCC, 2024)

Overcoming Algorithmic Bias as a Measure of Computational Creativity. - Jonathan Demke; Dan Ventura (ICCC, 2024)

Creativity as Search for Small and Interesting Programs. - Dan Ventura; Dan Brown 001 (ICCC, 2024)

Musical Phrase Segmentation via Grammatical Induction. - Reed Perkins; Dan Ventura (IJCAI, 2024)

Introducing UNIQuE: The Unconventional Noiseless Intermediate Quantum Emulator. - Reece Robertson; Dan Ventura (CoRR, 2024)

Distilling Reinforcement Learning into Single-Batch Datasets. - Connor Wilhelm; Dan Ventura (CoRR, 2025)