Pierre Baldi

Orcid: 0000-0001-8752-4664

Affiliations:
  • University of California, Irvine, CA, USA


According to our database1, Pierre Baldi authored at least 276 papers between 1987 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2012, "For contributions to artificial intelligence and statistical machine learning for bioinformatics.".

IEEE Fellow

IEEE Fellow 2012, "For contributions to machine learning and its applications in the life sciences".

Timeline

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Links

Online presence:

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Bibliography

2024
Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems.
CoRR, 2024

Unraveling the Molecular Magic: AI Insights on the Formation of Extraordinarily Stretchable Hydrogels.
CoRR, 2024

AttentionStitch: How Attention Solves the Speech Editing Problem.
CoRR, 2024

Deep Learning Over-Parameterization: the Shallow Fallacy.
Proceedings of the Northern Lights Deep Learning Conference, 2024

FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 model.
Proceedings of the Northern Lights Deep Learning Conference, 2024

2023
The quarks of attention: Structure and capacity of neural attention building blocks.
Artif. Intell., June, 2023

RMechDB: A Public Database of Elementary Radical Reaction Steps.
J. Chem. Inf. Model., February, 2023

Evaluating the Performance of Large Language Models for Spanish Language in Undergraduate Admissions Exams.
Computación y Sistemas (CyS), 2023

Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data.
CoRR, 2023

Extended Symmetry Preserving Attention Networks for LHC Analysis.
CoRR, 2023

Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors.
CoRR, 2023

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
CoRR, 2023

Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation.
CoRR, 2023

Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers.
CoRR, 2023

AI and Veterinary Medicine: Performance of Large Language Models on the North American Licensing Examination.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

Clinical Knowledge and Reasoning Abilities of Large Language Models in Pharmacy: A Comparative Study on the NAPLEX Exam.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023


AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Models can Solve Computer Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
CircadiOmics: circadian omic web portal.
Nucleic Acids Res., 2022

Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks.
J. Imaging, 2022

Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity.
J. Chem. Inf. Model., 2022

Call for a Public Open Database of All Chemical Reactions.
J. Chem. Inf. Model., 2022

Reproducible Hyperparameter Optimization.
J. Comput. Graph. Stat., 2022

Geometry-aware Autoregressive Models for Calorimeter Shower Simulations.
CoRR, 2022

Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments.
CoRR, 2022

Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games.
CoRR, 2022

Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission.
CoRR, 2022

The Quarks of Attention.
CoRR, 2022

Anytime PSRO for Two-Player Zero-Sum Games.
CoRR, 2022

Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation.
CoRR, 2022

SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarity.
Bioinform., 2022

2021
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality.
npj Digit. Medicine, 2021

SPLASH: Learnable activation functions for improving accuracy and adversarial robustness.
Neural Networks, 2021

A theory of capacity and sparse neural encoding.
Neural Networks, 2021

Tourbillon: a Physically Plausible Neural Architecture.
CoRR, 2021

Improving Social Welfare While Preserving Autonomy via a Pareto Mediator.
CoRR, 2021

SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention.
CoRR, 2021

XDO: A Double Oracle Algorithm for Extensive-Form Games.
CoRR, 2021

A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks.
CoRR, 2021

Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks.
CoRR, 2021

Fold recognition by scoring protein maps using the congruence coefficient.
Bioinform., 2021

D-REX: Static Detection of Relevant Runtime Exceptions with Location Aware Transformer.
Proceedings of the 21st IEEE International Working Conference on Source Code Analysis and Manipulation, 2021

XDO: A Double Oracle Algorithm for Extensive-Form Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Bucket Elimination.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing.
Sci. Program., 2020

Sherpa: Robust hyperparameter optimization for machine learning.
SoftwareX, 2020

Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set.
npj Digit. Medicine, 2020

Learning in the machine: To share or not to share?
Neural Networks, 2020

Deep-Learning-Based Kinematic Reconstruction for DUNE.
CoRR, 2020

Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging.
CoRR, 2020

Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks.
CoRR, 2020

Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning.
CoRR, 2020

Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continuous Representation of Molecules using Graph Variational Autoencoder.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning.
IEEE Trans. Ind. Informatics, 2019

Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Polynomial Threshold Functions, Hyperplane Arrangements, and Random Tensors.
SIAM J. Math. Data Sci., 2019

The capacity of feedforward neural networks.
Neural Networks, 2019

Solving the Rubik's cube with deep reinforcement learning and search.
Nat. Mach. Intell., 2019

Neural network gradient Hamiltonian Monte Carlo.
Comput. Stat., 2019

ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games.
CoRR, 2019

Curiosity-Driven Multi-Criteria Hindsight Experience Replay.
CoRR, 2019

Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract).
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards automating precision studies of clone detectors.
Proceedings of the 41st International Conference on Software Engineering, 2019

Solving the Rubik's Cube with Approximate Policy Iteration.
Proceedings of the 7th International Conference on Learning Representations, 2019

Efficient Neutrino Oscillation Parameter Inference with Gaussian Process.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning in the machine: Recirculation is random backpropagation.
Neural Networks, 2018

ClusterCAD: a computational platform for type I modular polyketide synthase design.
Nucleic Acids Res., 2018

CircadiOmics: circadian omic web portal.
Nucleic Acids Res., 2018

Inner and Outer Recursive Neural Networks for Chemoinformatics Applications.
J. Chem. Inf. Model., 2018

The inner and outer approaches to the design of recursive neural architectures.
Data Min. Knowl. Discov., 2018

Solving the Rubik's Cube Without Human Knowledge.
CoRR, 2018

Learning in the machine: Random backpropagation and the deep learning channel.
Artif. Intell., 2018

Oreo: detection of clones in the twilight zone.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

On Neuronal Capacity.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Detecting Cardiovascular Disease from Mammograms With Deep Learning.
IEEE Trans. Medical Imaging, 2017

Learning in the machine: The symmetries of the deep learning channel.
Neural Networks, 2017

Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning.
CoRR, 2017

A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks.
Comput. Biol. Medicine, 2017

MotifMap-RNA: a genome-wide map of RBP binding sites.
Bioinform., 2017

Deep Learning in the Natural Sciences: Applications to Physics.
Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

From Reinforcement Learning to Deep Reinforcement Learning: An Overview.
Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

2016
A theory of local learning, the learning channel, and the optimality of backpropagation.
Neural Networks, 2016

Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction.
J. Chem. Inf. Model., 2016

Learning in the Machine: Random Backpropagation and the Learning Channel.
CoRR, 2016

Parameterized Machine Learning for High-Energy Physics.
CoRR, 2016

VIRALpro: a tool to identify viral capsid and tail sequences.
Bioinform., 2016

ISMB 2016 Proceedings.
Bioinform., 2016

What time is it? Deep learning approaches for circadian rhythms.
Bioinform., 2016

Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Accurate and efficient target prediction using a potency-sensitive influence-relevance voter.
J. Cheminformatics, 2015

The Ebb and Flow of Deep Learning: a Theory of Local Learning.
CoRR, 2015

Learning Activation Functions to Improve Deep Neural Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

The pervasiveness and plasticity of circadian oscillations: the coupled circadian-oscillators framework.
Bioinform., 2015

2014
A Genomic Analysis Pipeline and Its Application to Pediatric Cancers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Deep Learning: Theory, Algorithms, and Applications (NII Shonan Meeting 2014-5).
NII Shonan Meet. Rep., 2014

Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning.
CoRR, 2014

Incorporating post-translational modifications and unnatural amino acids into high-throughput modeling of protein structures.
Bioinform., 2014

SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarity.
Bioinform., 2014

The dropout learning algorithm.
Artif. Intell., 2014

Parallel Multicut Segmentation via Dual Decomposition.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Searching for Higgs Boson Decay Modes with Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Deep Learning, Dark Knowledge, and Dark Matter.
Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014

Deep autoencoder neural networks for gene ontology annotation predictions.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Small-Molecule 3D Structure Prediction Using Open Crystallography Data.
J. Chem. Inf. Model., 2013

Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules.
J. Chem. Inf. Model., 2013

ReactionMap: An Efficient Atom-Mapping Algorithm for Chemical Reactions.
J. Chem. Inf. Model., 2013

A unifying kinetic framework for modeling oxidoreductase-catalyzed reactions.
Bioinform., 2013

An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Understanding Dropout.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Complex-valued autoencoders.
Neural Networks, 2012

Cyber-T web server: differential analysis of high-throughput data.
Nucleic Acids Res., 2012

Autoencoders, Unsupervised Learning, and Deep Architectures.
Proceedings of the Unsupervised and Transfer Learning, 2012

Speeding Up Chemical Searches Using the Inverted Index: The Convergence of Chemoinformatics and Text Search Methods.
J. Chem. Inf. Model., 2012

ReactionPredictor: Prediction of Complex Chemical Reactions at the Mechanistic Level Using Machine Learning.
J. Chem. Inf. Model., 2012

The Universal Campus: An open virtual 3-D world infrastructure for research and education.
eLearn Mag., 2012

Boolean autoencoders and hypercube clustering complexity.
Des. Codes Cryptogr., 2012

Deep architectures for protein contact map prediction.
Bioinform., 2012

Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Learning to Predict Chemical Reactions.
J. Chem. Inf. Model., 2011

Data-Driven High-Throughput Prediction of the 3-D Structure of Small Molecules: Review and Progress. A Response to the Letter by the Cambridge Crystallographic Data Centre.
J. Chem. Inf. Model., 2011

Data-Driven High-Throughput Prediction of the 3-D Structure of Small Molecules: Review and Progress.
J. Chem. Inf. Model., 2011

Complex-Valued Autoencoders
CoRR, 2011

Privacy-Enhanced Methods for Comparing Compressed DNA Sequences
CoRR, 2011

MotifMap: integrative genome-wide maps of regulatory motif sites for model species.
BMC Bioinform., 2011

A Machine Learning Approach to Predict Chemical Reactions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Countering GATTACA: efficient and secure testing of fully-sequenced human genomes.
Proceedings of the 18th ACM Conference on Computer and Communications Security, 2011

DNA Microarrays and Gene Expression - From Experiments to Data Analysis and Modeling.
Cambridge University Press, ISBN: 978-0-521-17635-4, 2011

2010
Modeling user reputation in wikis.
Stat. Anal. Data Min., 2010

Computational Prediction and Experimental Verification of New MAP Kinase Docking Sites and Substrates Including Gli Transcription Factors.
PLoS Comput. Biol., 2010

Of bits and wows: A Bayesian theory of surprise with applications to attention.
Neural Networks, 2010

Hashing Algorithms and Data Structures for Rapid Searches of Fingerprint Vectors.
J. Chem. Inf. Model., 2010

When is Chemical Similarity Significant? The Statistical Distribution of Chemical Similarity Scores and Its Extreme Values.
J. Chem. Inf. Model., 2010

Data structures and compression algorithms for high-throughput sequencing technologies.
BMC Bioinform., 2010

A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.
Bioinform., 2010

High-throughput prediction of protein antigenicity using protein microarray data.
Bioinform., 2010

Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery.
Proceedings of the Neural Nets WIRN10, 2010

Information-Theoretic Metrics for Project-Level Scattering and Tangling.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

A scalable reference-point based algorithm to efficiently search large chemical databases.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Influence Relevance Voting: An Accurate And Interpretable Virtual High Throughput Screening Method.
J. Chem. Inf. Model., 2009

No Electron Left Behind: A Rule-Based Expert System To Predict Chemical Reactions and Reaction Mechanisms.
J. Chem. Inf. Model., 2009

An Intersection Inequality Sharper than the Tanimoto Triangle Inequality for Efficiently Searching Large Databases.
J. Chem. Inf. Model., 2009

Large scale study of multiple-molecule queries.
J. Cheminformatics, 2009

Sourcerer: mining and searching internet-scale software repositories.
Data Min. Knowl. Discov., 2009

MotifMap: a human genome-wide map of candidate regulatory motif sites.
Bioinform., 2009

SOLpro: accurate sequence-based prediction of protein solubility.
Bioinform., 2009

Data structures and compression algorithms for genomic sequence data.
Bioinform., 2009

Software-driven sensor networks for short-range shallow water applications.
Ad Hoc Networks, 2009

SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects.
Proceedings of the 6th International Working Conference on Mining Software Repositories, 2009

Mining the coherence of GNOME bug reports with statistical topic models.
Proceedings of the 6th International Working Conference on Mining Software Repositories, 2009

Capturing Java naming conventions with first-order Markov models.
Proceedings of the 17th IEEE International Conference on Program Comprehension, 2009

User contribution and trust in Wikipedia.
Proceedings of the 5th International Conference on Collaborative Computing: Networking, 2009

2008
Learning to play Go using recursive neural networks.
Neural Networks, 2008

Discovery of Power-Laws in Chemical Space.
J. Chem. Inf. Model., 2008

Speeding Up Chemical Database Searches Using a Proximity Filter Based on the Logical Exclusive OR.
J. Chem. Inf. Model., 2008

PEPITO: improved discontinuous B-cell epitope prediction using multiple distance thresholds and half sphere exposure.
Bioinform., 2008

TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteins.
Bioinform., 2008

A theory of aspects as latent topics.
Proceedings of the 23rd Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2008

BLASTing small molecules - statistics and extreme statistics of chemical similarity scores.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

An Application of Latent Dirichlet Allocation to Analyzing Software Evolution.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Effective Compression of Monotone and Quasi-Monotone Sequences of Integers.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008

2007
Adaptive Low Power Listening for Wireless Sensor Networks.
IEEE Trans. Mob. Comput., 2007

An enhanced MITOMAP with a global mtDNA mutational phylogeny.
Nucleic Acids Res., 2007

Mathematical Correction for Fingerprint Similarity Measures to Improve Chemical Retrieval.
J. Chem. Inf. Model., 2007

Bounds and Algorithms for Fast Exact Searches of Chemical Fingerprints in Linear and Sublinear Time.
J. Chem. Inf. Model., 2007

Lossless Compression of Chemical Fingerprints Using Integer Entropy Codes Improves Storage and Retrieval.
J. Chem. Inf. Model., 2007

One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties.
J. Chem. Inf. Model., 2007

Improved residue contact prediction using support vector machines and a large feature set.
BMC Bioinform., 2007

Minimizing the overlap problem in protein NMR: a computational framework for precision amino acid labeling.
Bioinform., 2007

ChemDB update - full-text search and virtual chemical space.
Bioinform., 2007

Mining Internet-Scale Software Repositories.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Mining Eclipse Developer Contributions via Author-Topic Models.
Proceedings of the Fourth International Workshop on Mining Software Repositories, 2007

Learning and Charting Chemical Space with Strings and Graphs: Challenges and Opportunities for AI and Machine Learning.
Proceedings of the Mining and Learning with Graphs, 2007

Mining concepts from code with probabilistic topic models.
Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

CodeGenie: using test-cases to search and reuse source code.
Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

From protein microarrays to diagnostic antigen discovery: a study of the pathogen <i>Francisella tularensis</i>.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Machine Learning Challenges in Chemoinformatics and Drug Screening and Design.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006
Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue Mutants.
IEEE ACM Trans. Comput. Biol. Bioinform., 2006

Localization of off-the-shelf mobile devices using audible sound: architectures, protocols and performance assessment.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2006

Global landscape of recent inferred Darwinian selection for <i>Homo sapiens</i>.
Proc. Natl. Acad. Sci. USA, 2006

Modular DAG-RNN Architectures for Assembling Coarse Protein Structures.
J. Comput. Biol., 2006

DOMpro: Protein Domain Prediction Using Profiles, Secondary Structure, Relative Solvent Accessibility, and Recursive Neural Networks.
Data Min. Knowl. Discov., 2006

Identification of humoral immune responses in protein microarrays using DNA microarray data analysis techniques.
Bioinform., 2006

A machine learning information retrieval approach to protein fold recognition.
Bioinform., 2006

Sourcerer: a search engine for open source code supporting structure-based search.
Proceedings of the Companion to the 21th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2006

A Scalable Machine Learning Approach to Go.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
U-MAC: a proactive and adaptive UWB medium access control protocol.
Wirel. Commun. Mob. Comput., 2005

Graph kernels for chemical informatics.
Neural Networks, 2005

On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks.
Neural Networks, 2005

SCRATCH: a protein structure and structural feature prediction server.
Nucleic Acids Res., 2005

MITOMAP: a human mitochondrial genome database - 2004 update.
Nucleic Acids Res., 2005

How noisy and replicable are DNA microarray data?
Int. J. Bioinform. Res. Appl., 2005

Sigmoid: A Software Infrastructure for Pathway Bioinformatics and Systems Biology.
IEEE Intell. Syst., 2005

Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data.
Data Min. Knowl. Discov., 2005

Statistical detection of chromosomal homology using shared-gene density alone.
Bioinform., 2005

ChemDB: a public database of small molecules and related chemoinformatics resources.
Bioinform., 2005

Statistical Distribution of Chemical Fingerprints.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Bayesian Surprise Attracts Human Attention.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Three-stage prediction of protein ?-sheets by neural networks, alignments and graph algorithms.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

State-Driven Energy Optimization in Wireless Sensor Networks.
Proceedings of the Systems Communications 2005 (ICW / ICHSN / ICMCS / SENET 2005), 2005

SVM and pattern-enriched common fate graphs for the game of go.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

A Principled Approach to Detecting Surprising Events in Video.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Beep: 3D indoor positioning using audible sound.
Proceedings of the 2nd IEEE Consumer Communications and Networking Conference, 2005

2004
Combining protein secondary structure prediction models with ensemble methods of optimal complexity.
Neurocomputing, 2004

A survey, classification and comparative analysis of medium access control protocols for ad hoc networks.
IEEE Commun. Surv. Tutorials, 2004

ICBS: a database of interactions between protein chains mediated by ?-sheet formation.
Bioinform., 2004

Structural proteomics of the poxvirus family.
Artif. Intell. Medicine, 2004

Large-Scale Prediction of Disulphide Bond Connectivity.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

An Acoustic Identification Scheme for Location Systems.
Proceedings of the IEEE/ACS International Conference on Pervasive Services (ICPS'04), 2004

2003
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem.
J. Mach. Learn. Res., 2003

Machine Learning Methods for Computational Proteomics and Beyond.
Proceedings of the Advances in Artificial Intelligence, 2003

Modeling the Internet and the Web: Probabilistic Method and Algorithms
John Wiley, ISBN: 0-470-84906-1, 2003

2002
Modeling and optimization of UWB communication networks through a flexible cost function.
IEEE J. Sel. Areas Commun., 2002

A Machine-Learning Strategy for Protein Analysis.
IEEE Intell. Syst., 2002

Distribution patterns of over-represented k-mers in non-coding yeast DNA.
Bioinform., 2002

Why are complementary DNA strands symmetric?
Bioinform., 2002

Prediction of Protein Topologies Using Generalized IOHMMS and RNNs.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

The Shattered Self - The End of Natural Evolution.
MIT Press, ISBN: 978-0-262-52334-9, 2002

2001
A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes.
Bioinform., 2001

Flexibility of the genetic code with respect to DNA structure.
Bioinform., 2001

Bidirectional Dynamics for Protein Secondary Structure Prediction.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

DNA Structure, Protein-DNA Interactions, and DNA-Protein Expression - Session Introduction.
Proceedings of the 6th Pacific Symposium on Biocomputing, 2001

Bioethics, Fiction Science, and the Future of Mankind - Session Introduction.
Proceedings of the 6th Pacific Symposium on Biocomputing, 2001

Improved prediction of the number of residue contacts in proteins by recurrent neural networks.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Bioinformatics - the machine learning approach (2. ed.).
MIT Press, ISBN: 978-0-262-02506-5, 2001

2000
Assessing the accuracy of prediction algorithms for classification: an overview.
Bioinform., 2000

Sequence analysis by additive scales: DNA structure for sequences and repeats of all lengths.
Bioinform., 2000

On the convergence of a clustering algorithm for protein-coding regions in microbial genomes.
Bioinform., 2000

Analysis of Yeast's ORF Upstream Regions by Parallel Processing, Microarrays, and Computational Methods.
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks.
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

Protein β-Sheet Partner Prediction by Neural Networks.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

Bioinformatics - the machine learning approach.
MIT Press, ISBN: 978-0-262-02442-6, 2000

1999
The Biology of Eukaryotic Promoter Prediction - A Review.
Comput. Chem., 1999

Exploiting the past and the future in protein secondary structure prediction.
Bioinform., 1999

Structural basis for triplet repeat disorders: a computational analysis.
Bioinform., 1999

1998
On the Use of Bayesian Methods for Evaluating Compartmental Neural Models.
J. Comput. Neurosci., 1998

Computational Applications of DNA Structural Scales.
Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology (ISMB-98), Montréal, Québec, Canada, June 28, 1998

1997
Probabilistic Models of Neuronal Spike Trains.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

1996
Hybrid Modeling, HMM/NN Architectures, and Protein Applications.
Neural Comput., 1996

Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models.
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, 1996

1995
Learning in linear neural networks: a survey.
IEEE Trans. Neural Networks, 1995

Gradient descent learning algorithm overview: a general dynamical systems perspective.
IEEE Trans. Neural Networks, 1995

Substitution Matrices and Hidden Markov Models.
J. Comput. Biol., 1995

Universal Approximnation and Learning of Trajectories Using Oscillators.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Protein Modeling with Hybrid Hidden Markov Model/Neural Network Architectures.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

Periodic Sequence Patterns in Human Exons.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994
How delays affect neural dynamics and learning.
IEEE Trans. Neural Networks, 1994

Smooth On-Line Learning Algorithms for Hidden Markov Models.
Neural Comput., 1994

Hidden Markov Models of the G-Protein-Coupled Receptor Family.
J. Comput. Biol., 1994

Inferring Ground Truth from Subjective Labelling of Venus Images.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Random interactions in higher order neural networks.
IEEE Trans. Inf. Theory, 1993

Neural Networks for Fingerprint Recognition.
Neural Comput., 1993

Hidden Markov Models for Human Genes.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Learning trajectories with a hierarchy of oscillatory modules.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Trajectory learning using hierarchy of oscillatory modules.
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993

1992
Hidden Markov Models in Molecular Biology: New Algorithms and Applications.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Contrastive Learning and Neural Oscillations.
Neural Comput., 1991

Temporal Evolution of Generalization during Learning in Linear Networks.
Neural Comput., 1991

Programmed interactions in higher-order neural networks: The outer-product algorithm.
J. Complex., 1991

Programmed interactions in higher-order neural networks: Maximal capacity.
J. Complex., 1991

1990
Computing with Arrays of Coupled Oscillators: An Application to Preattentive Texture Discrimination.
Neural Comput., 1990

On a generalized family of colorings.
Graphs Comb., 1990

Computing with Arrays of Bell-Shaped and Sigmoid Functions.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989
Neural networks and principal component analysis: Learning from examples without local minima.
Neural Networks, 1989

Oscillations and Synchronizations in Neural Networks: an Exploration of the Labeling Hypothesis.
Int. J. Neural Syst., 1989

On the Distribution of the Number of Local Minima of a Random Function on a Graph.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988
Neural networks, orientations of the hypercube, and algebraic threshold functions.
IEEE Trans. Inf. Theory, 1988

Neural Networks, Acyclic Orientations of the Hypercube, and Sets of Orthogonal Vectors.
SIAM J. Discret. Math., 1988

Group Actions and Learning for a Family of Automata.
J. Comput. Syst. Sci., 1988

Linear Learning: Landscapes and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988

1987
On Properties of Networks of Neuron-Like Elements.
Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987


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