Paolo Frasconi
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Paolo Frasconicomputer-science Degrees
Computer Science
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Algorithms
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Machine Learning
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Artificial Intelligence
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Computer Science
Paolo Frasconi's Degrees
- PhD Computer Science University of California, Berkeley
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(Suggest an Edit or Addition)Paolo Frasconi'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
- Learning long-term dependencies with gradient descent is difficult (1994) (6956)
- Exploiting the past and the future in protein secondary structure prediction (1999) (503)
- Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013) (491)
- A general framework for adaptive processing of data structures (1998) (482)
- Bilevel Programming for Hyperparameter Optimization and Meta-Learning (2018) (452)
- An Input Output HMM Architecture (1994) (372)
- Input-output HMMs for sequence processing (1996) (346)
- DISULFIND: a disulfide bonding state and cysteine connectivity prediction server (2006) (326)
- Forward and Reverse Gradient-Based Hyperparameter Optimization (2017) (263)
- The problem of learning long-term dependencies in recurrent networks (1993) (216)
- Learning without local minima in radial basis function networks (1995) (215)
- Local Feedback Multilayered Networks (1992) (202)
- Modeling the Internet and the Web: Probabilistic Method and Algorithms (2003) (168)
- New results on error correcting output codes of kernel machines (2004) (163)
- Probabilistic Inductive Logic Programming - Theory and Applications (2008) (158)
- Disulfide connectivity prediction using recursive neural networks and evolutionary information (2004) (155)
- Modeling The Internet And The Web (2003) (125)
- Hidden Tree Markov Models for Document Image Classification (2003) (120)
- kFOIL: Learning Simple Relational Kernels (2006) (115)
- Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines (2003) (113)
- Identifying cysteines and histidines in transition‐metal‐binding sites using support vector machines and neural networks (2006) (106)
- Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks (1995) (94)
- Graph Invariant Kernels (2015) (90)
- Whole-Brain Vasculature Reconstruction at the Single Capillary Level (2017) (86)
- Weighted decomposition kernels (2005) (77)
- MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence (2008) (77)
- Fingerprint Classification with Combinations of Support Vector Machines (2001) (76)
- Predicting zinc binding at the proteome level (2007) (75)
- Bidirectional Dynamics for Protein Secondary Structure Prediction (2001) (71)
- Logo Recognition by Recursive Neural Networks (1997) (70)
- Modeling the Internet and the Web: Probabilistic Methods and Algorithms: Baldi/Probabilistic (2002) (68)
- Representation of Finite State Automata in Recurrent Radial Basis Function Networks (1996) (64)
- Towards Incremental Parsing of Natural Language Using Recursive Neural Networks (2003) (63)
- Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights (2009) (63)
- Learning in multilayered networks used as autoassociators (1995) (60)
- MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence (2008) (57)
- Statistical Learning and Kernel Methods in Bioinformatics (2003) (57)
- Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images (2014) (55)
- Credit Assignment through Time: Alternatives to Backpropagation (1993) (54)
- Hidden Markov Models for Text Categorization in Multi-Page Documents (2002) (53)
- Diffusion of Context and Credit Information in Markovian Models (1995) (51)
- kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract) (2012) (51)
- An unified approach for integrating explicit knowledge and learning by example in recurrent networks (1991) (49)
- Learning protein secondary structure from sequential and relational data (2005) (43)
- Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networks (2003) (43)
- Collective Traffic Forecasting (2010) (42)
- A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories (2012) (41)
- A two-stage SVM architecture for predicting the disulfide bonding state of cysteines (2002) (40)
- Text categorization for multi-page documents: a hybrid naive Bayes HMM approach (2001) (40)
- Fast learning of relational kernels (2010) (40)
- Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy. (2011) (39)
- Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting (2006) (39)
- Classification of small molecules by two- and three-dimensional decomposition kernels (2007) (38)
- Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach (1995) (38)
- Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines (2003) (36)
- Fingerprint Classification by Combination of Flat and Structural Approaches (2001) (34)
- Computational capabilities of local-feedback recurrent networks acting as finite-state machines (1996) (31)
- Relational Learning for Spatial Relation Extraction from Natural Language (2011) (31)
- Merit Award Winners (2004) (27)
- Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis (2015) (26)
- Learning to discriminate between ligand-bound and disulfide-bound cysteines. (2004) (26)
- Modular DAG-RNN Architectures for Assembling Coarse Protein Structures (2006) (26)
- Predicting Metal-Binding Sites from Protein Sequence (2012) (25)
- A simplified approach to disulfide connectivity prediction from protein sequences (2008) (25)
- Prediction of Protein Coarse Contact Maps (2003) (23)
- A New Machine Learning Approach to Fingerprint Classification (2001) (23)
- From Margins to Probabilities in Multiclass Learning Problems (2002) (22)
- On the Efficient Classification of Data Structures by Neural Networks (1997) (22)
- RNAcommender: genome-wide recommendation of RNA-protein interactions (2016) (22)
- Diffusion of Credit in Markovian Models (1994) (21)
- Markov Logic Networks for Optical Chemical Structure Recognition (2014) (21)
- Links between LVQ and Backpropagation (1997) (21)
- Proceedings of the 20th European Conference on Artificial Intelligence (2012) (21)
- An EM approach to grammatical inference: input/output HMMs (1994) (19)
- On Hyperparameter Optimization in Learning Systems (2017) (17)
- Wide Coverage Incremental Parsing by Learning Attachment Preferences (2001) (17)
- Evaluation Methods for Focused Crawling (2001) (16)
- Wide coverage natural language processing using kernel methods and neural networks for structured data (2005) (16)
- Local Feedback Multi-Layered Networks (1992) (16)
- Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection (2011) (16)
- Image Document Categorization Using Hidden Tree Markov Models and Structured Representations (2001) (16)
- Optimal learning in artificial neural networks: A theoretical view (1998) (15)
- A Relational Kernel-Based Framework for Hierarchical Image Understanding (2012) (15)
- Shift Aggregate Extract Networks (2017) (15)
- A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction (2003) (15)
- Learning and Interpreting Multi-Multi-Instance Learning Networks (2018) (15)
- A Bridge Between Hyperparameter Optimization and Larning-to-learn (2017) (15)
- An EM Approach to Learning Sequential (1994) (14)
- Artificial Intelligence and Heuristic Methods in Bioinformatics (2003) (14)
- Marthe: Scheduling the Learning Rate Via Online Hypergradients (2019) (14)
- Universal autofocus for quantitative volumetric microscopy of whole mouse brains (2021) (14)
- A relational kernel-based approach to scene classification (2013) (13)
- A recursive connectionist approach for predicting disulfide connectivity in proteins (2003) (12)
- Data Categorization Using Decision Trellises (1999) (12)
- Suspiciousness of loading problems (1997) (12)
- Prediction of Protein Topologies Using GIOHMMs and GRNNs (2003) (11)
- Learning with Kernels and Logical Representations (2007) (11)
- Competitive radial basis functions training for phone classification (2000) (11)
- Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence (2006) (11)
- Inductive Inference of Tree Automata by Recursive Neural Networks (1997) (11)
- Ambiguity resolution analysis in incremental parsing of natural language (2005) (10)
- Relational information gain (2011) (10)
- Phonetic recognition experiments with recurrent neural networks (1992) (9)
- Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations (2000) (9)
- On the role of long-range dependencies in learning protein secondary structure (2004) (9)
- Backpropagation for linearly-separable patterns: A detailed analysis (1993) (9)
- Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains (2001) (9)
- A bi-recursive neural network architecture for the prediction of protein coarse contact maps (2002) (8)
- A Network Architecture for Multi-Multi-Instance Learning (2017) (8)
- Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines RID G-2944-2010 (2003) (8)
- Multilayered networks and the C-G uncertainty principle (1993) (8)
- An Introduction to Learning Structured Information (1997) (7)
- Feature Discovery with Type Extension Trees (2008) (7)
- Classification of Cancer Pathology Reports: A Large-Scale Comparative Study (2020) (7)
- Injecting Nondeterministic Finite State Automata into RecurrentNeural NetworksPaolo (1993) (7)
- Type Extension Trees for feature construction and learning in relational domains (2013) (6)
- Learning incremental syntactic structures with recursive neural networks (2000) (6)
- kProbLog: an algebraic Prolog for machine learning (2017) (6)
- Representation of finite state automata in Recurrent Radial Basis Function networks (2004) (6)
- DAPHNE: DATA PARALLELISM NEURAL NETWORK SIMULATOR (1993) (6)
- Declarative Kernels (2004) (6)
- Learning Aggregation Functions (2020) (5)
- Integration of Graphical Rules with Adaptive Learning of Structured Information (1998) (5)
- Kernels on Prolog Ground Terms (2005) (5)
- Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm (2019) (5)
- Bidirectional IOHMMs and Recurrent Neural Networks for Protein Secondary Structure Prediction (2000) (4)
- Enhancing First-Pass Attachment Prediction (2002) (4)
- New Machine Learning Methods for the Prediction of Protein Topologies (2002) (4)
- Machine Learning and Knowledge Discovery in Databases (2016) (4)
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016 (2016) (4)
- Neural Networks and Kernel Machines for Vector and Structured Data (2005) (4)
- Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres (2018) (3)
- Special issue on connectionist models for learning in structured domains (2001) (3)
- Spatial relation extraction using relational learning (2011) (3)
- Special issue on integration of symbolic and connectionist systems (2002) (3)
- Comparing Convolution Kernels and Recursive Neural Networks for Learning Preferences on Structured Data (2003) (3)
- Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach (2021) (3)
- Modeling and Understanding Human Behavior on the Web (2003) (3)
- Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images (2015) (3)
- Employing logical languages for image understanding (2011) (3)
- Input/Output HMMs: A Recurrent Bayesian Network View (1997) (3)
- A topological transformation for hidden recursive modelsarchitecture networks (1999) (3)
- Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2016) (2016) (3)
- CONLON: A Pseudo-Song Generator Based on a New Pianoroll, Wasserstein Autoencoders, and Optimal Interpolations (2020) (3)
- Software Tools for Efficient Processing of High-Resolution 3D Images of Macroscopic Brain Samples (2018) (3)
- On Tuning Hyper-Parameters of Multiclass Margin Classifiers (2002) (2)
- kProbLog: An Algebraic Prolog for Kernel Programming (2015) (2)
- Guest editorial: Machine learning for the Internet (2004) (2)
- absorption spectroscopy Characterization of metalloproteins by high-throughput X-ray Material (2011) (2)
- Hidden Tree Markov Models for Image Document Classification (2003) (2)
- kLogNLP: Graph Kernel–based Relational Learning of Natural Language (2014) (2)
- Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis (1994) (2)
- Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy (2012) (2)
- Commerce on the Web: Models and Applications (2003) (2)
- Hidden Recursive Models (1998) (2)
- Distributed community crawling (2004) (2)
- Automatic speech recognition with neural networks: Beyond nonparametric models (1993) (2)
- On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways (2008) (2)
- ECAI 2002: 15th European conference on artificial intelligence (2002) (2)
- Prediction of protein coarse contact maps using recursive neural networks (2002) (2)
- A GRID FOCUSED COMMUNITY CRAWLING ARCHITECTURE FOR MEDICAL INFORMATION RETRIEVAL SERVICES (2005) (2)
- RNA secondary structure prediction by mapping Zuker ’ s algorithm into Markov logic (2009) (1)
- A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy (2014) (1)
- Prediction of Protein Topologies Using Generalized IOHMMS and RNNs (2002) (1)
- Towards a Full Volumetric Atlas of Cell-specific Neuronal Spatial Organization in the Entire Mouse Brain (2018) (1)
- Learning Structured Information in Natural Language Applications (2006) (1)
- Computational Suspiciousness of Learning in Artificial Neural Nets (1999) (1)
- Learning to Rank Structured Alternatives: An Application to Incremental Processing of Natural Language (2000) (1)
- Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings (2007) (1)
- F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets (2019) (1)
- Inductive Logic Programming - 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers (2011) (1)
- Suspiciousness of loading problems (1996) (1)
- Optimal staining and clearing protocol for whole mouse brain vasculature imaging with light-sheet microscopy (2017) (1)
- Decision Trellis Models for Tuple Categorization in Databases (1996) (1)
- Decomposition Kernels for Natural Language Processing (2006) (1)
- Guest Editors’ introduction (2011) (1)
- Machine Learning and Knowledge Discovery in Databases (2016) (1)
- Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning (2018) (1)
- Brain-wide charting of neuronal activation maps with cellular resolution (2015) (1)
- Learning Structured Outputs via Kernel Dependency Estimation and Stochastic Grammars (2006) (1)
- A semiparametric generative model for efficient structured-output supervised learning (2008) (1)
- KL: A Neural Model for Capturing Structure in Speech (1991) (1)
- Mapping the quantitative cytoarchitecture of the whole mouse brain by light-sheet microscopy and digital brain atlasing (Conference Presentation) (2018) (0)
- Guest editorial: Machine learning for the Internet (2004) (0)
- Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions (2020) (0)
- Advanced Crawling Techniques (2003) (0)
- Publisher Correction: Whole-Brain Vasculature Reconstruction at the Single Capillary Level (2019) (0)
- Outline : A framework for statistical learning in the ILP setting Kernels on Prolog proof trees Declarative kernels kFOIL Kernels on type extension trees (2007) (0)
- A network to generate human-understandable knowledge from data (2002) (0)
- Publisher Correction: Whole-Brain Vasculature Reconstruction at the Single Capillary Level (2019) (0)
- Cell identification in whole-brain multiview images of neural activation (2015) (0)
- Kernel Machines, Neural Networks, and Graphical Models (2006) (0)
- YPERPARAMETER O PTIMIZATION IN L EARNING S YSTEMS (2017) (0)
- Representation of Finite State Automata inRecurrent Radial Basis Function NetworksPAOLO (1996) (0)
- Mapping whole-brain activity with cellular resolution by light-sheet microscopy and high-throughput image analysis (Conference Presentation) (2016) (0)
- Model Revision from Temporal Logic Properties in Computational Systems Biology (2019) (0)
- Chapter 16. Insertion of Prior Knowledge (2001) (0)
- Input / Output HMMs : A RecurrentBayesian Network (2007) (0)
- Projectome: set up and testing of a high performance computational infrastructure for processing and visualizing neuro-anatomical information obtained using confocal ultra-microscopy techniques (2012) (0)
- Proof Tree Kernels : a Candidate Ingredient for Intelligent Optimization (2007) (0)
- Full-Band Music Genres Interpolations with Wasserstein Autoencoders (2019) (0)
- International Program Committee/Local Organizing Committee/Sponsors (2013) (0)
- Basic WWW Technologies (2003) (0)
- Comparing Sequence Classification Algorithms for Protein Subcellular Localization (2007) (0)
- Protein Structure Assembly from Knowledge of β -Sheet Motifs and Secondary Structure (2004) (0)
- Using Constraints on Beta Partners to Reconstruct Mainly Beta Proteins (2004) (0)
- StReBio Workshop online proceedings (2008) (0)
- 3D molecular phenotyping of the human brain Broca’s area using light-sheet fluorescence microscopy (2022) (0)
- Learning Type Extension Trees for Metal Bonding State Prediction (2008) (0)
- Proceedings of the 20th international conference on Inductive logic programming (2010) (0)
- Data and text mining RNAcommender : genome-wide recommendation of RNA – protein interactions (2016) (0)
- Ambiguity resolution in incremental parsing of natural language (2003) (0)
- High-resolution human brain 3D reconstruction with light-sheet fluorescence microscopy (2023) (0)
- Guest Editors’ introduction (2011) (0)
- Statistical Relational Learning ( 1 ) : Introduction to Probabilistic Inductive Logic Programming ( PILP ) (2017) (0)
- Italian Machine Learning and Data Mining research: The last years (2013) (0)
- Executable logic for dialogical argumentation (2012) (0)
- A Statistical Relational Learning Approach to Identify Sections in Scientific Abstracts Using Sentence and Document Structure (2012) (0)
- Appendix A: Mathematical Complements (2003) (0)
- Appendix B: List of Main Symbols and Abbreviations (2003) (0)
- Deep learning strategies for scalable analysis of high-resolution brain imagery (2019) (0)
- Whole-Brain Vasculature Reconstruction at the Single Capillary Level (2018) (0)
- kProbLog: an algebraic Prolog for machine learning (2017) (0)
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What Schools Are Affiliated With Paolo Frasconi?
Paolo Frasconi is affiliated with the following schools:
