Gianluca Bontempi

Gianluca Bontempi's AcademicInfluence.com Rankings

Gianluca Bontempi

Computer Science

#9131

World Rank

#9595

Historical Rank

Data Mining

#217

World Rank

#218

Historical Rank

Machine Learning

#3924

World Rank

#3972

Historical Rank

Database

#6120

World Rank

#6346

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Gianluca Bontempi's Degrees

PhD Computer Science University of Milan
Masters Computer Engineering University of Milan
Bachelors Computer Engineering University of Milan

Similar Degrees You Can Earn

Best Online PhD of Computer Science (Doctorates) 2026

Why Is Gianluca Bontempi Influential?

(Suggest an Edit or Addition)

(See a Problem?)

Gianluca Bontempi'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

TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data (2015) (1887)
Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade. (2007) (814)
Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes (2008) (794)
Determinants of community structure in the global plankton interactome (2015) (672)
minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information (2008) (483)
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2011) (447)
Information-Theoretic Inference of Large Transcriptional Regulatory Networks (2007) (435)
Machine Learning Strategies for Time Series Forecasting (2012) (384)
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen (2008) (368)
Calibrating Probability with Undersampling for Unbalanced Classification (2015) (354)
Learned lessons in credit card fraud detection from a practitioner perspective (2014) (344)
A three-gene model to robustly identify breast cancer molecular subtypes. (2012) (303)
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy (2018) (262)
Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity (2008) (254)
New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx (2019) (237)
Effect of 21 Different Nitrogen Sources on Global Gene Expression in the Yeast Saccharomyces cerevisiae (2007) (234)
Lazy learning for local modelling and control design (1999) (215)
Association between the PNPLA3 (rs738409 C>G) variant and hepatocellular carcinoma: Evidence from a meta‐analysis of individual participant data (2014) (211)
A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all? (2008) (207)
Adaptive model selection for time series prediction in wireless sensor networks (2007) (193)
A comprehensive overview of Infinium HumanMethylation450 data processing (2013) (178)
Combining unsupervised and supervised learning in credit card fraud detection (2019) (171)
Multiple-output modeling for multi-step-ahead time series forecasting (2010) (170)
Multifactorial approach to predicting resistance to anthracyclines. (2011) (170)
On the Use of Variable Complementarity for Feature Selection in Cancer Classification (2006) (165)
mRMRe: an R package for parallelized mRMR ensemble feature selection (2013) (165)
Comparison of prognostic gene expression signatures for breast cancer (2008) (164)
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization (2017) (154)
A machine learning approach against a masked AES (2013) (152)
New Routes from Minimal Approximation Error to Principal Components (2008) (151)
STAT1 Is a Master Regulator of Pancreatic β-Cell Apoptosis and Islet Inflammation* (2010) (148)
SCARFF: A scalable framework for streaming credit card fraud detection with spark (2017) (135)
Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis) (2015) (122)
Side channel attack: an approach based on machine learning (2011) (121)
Lazy Learning Meets the Recursive Least Squares Algorithm (1998) (119)
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages (2016) (118)
Power analysis attack: an approach based on machine learning (2014) (111)
Long-term in vitro treatment of human glioblastoma cells with temozolomide increases resistance in vivo through up-regulation of GLUT transporter and aldo-keto reductase enzyme AKR1C expression. (2010) (104)
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages [version 1; referees: 1 approved, 1 approved with reservations] (2016) (103)
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages [version 1; referees: 1 approved, 1 approved with reservations] (2016) (103)
Evidence of galectin-1 involvement in glioma chemoresistance. (2008) (97)
Portraying breast cancers with long noncoding RNAs (2016) (97)
4-IBP, a sigma1 receptor agonist, decreases the migration of human cancer cells, including glioblastoma cells, in vitro and sensitizes them in vitro and in vivo to cytotoxic insults of proapoptotic and proautophagic drugs. (2007) (94)
The local paradigm for modeling and control: from neuro-fuzzy to lazy learning (2001) (92)
A qualitative simulation approach for fuzzy dynamical models (1994) (91)
Credit card fraud detection and concept-drift adaptation with delayed supervised information (2015) (91)
Long Term Time Series Prediction with Multi-Input Multi-Output Local Learning (2008) (89)
Knocking Down Galectin 1 in Human Hs683 Glioblastoma Cells Impairs Both Angiogenesis and Endoplasmic Reticulum Stress Responses (2008) (88)
An adaptive local learning-based methodology for voltage regulation in distribution networks with dispersed generation (2006) (86)
When is Undersampling Effective in Unbalanced Classification Tasks? (2015) (84)
DNA methylation–based immune response signature improves patient diagnosis in multiple cancers (2017) (82)
Distributed Principal Component Analysis for Wireless Sensor Networks (2008) (78)
Galectin 1 proangiogenic and promigratory effects in the Hs683 oligodendroglioma model are partly mediated through the control of BEX2 expression. (2009) (77)
On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information (2008) (75)
Long-term prediction of time series by combining direct and MIMO strategies (2009) (73)
Adaptive Machine Learning for Credit Card Fraud Detection (2015) (68)
Conditionally dependent strategies for multiple-step-ahead prediction in local learning (2011) (67)
Local Learning for Iterated Time-Series Prediction (1999) (62)
Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity (2013) (61)
Now comes the time to defuzzify neuro-fuzzy models (1997) (61)
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection (2019) (59)
Nucleolus and c-Myc: potential targets of cardenolide-mediated antitumor activity (2008) (57)
Local learning techniques for modeling, prediction and control (2000) (56)
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization (2018) (53)
Lazy learning for modeling and control design (1997) (52)
UNBS5162, a novel naphthalimide that decreases CXCL chemokine expression in experimental prostate cancers. (2008) (52)
A fuzzy gene expression-based computational approach improves breast cancer prognostication (2010) (52)
Causal filter selection in microarray data (2010) (52)
Racing for Unbalanced Methods Selection (2013) (50)
Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference. (2014) (49)
SpidermiR: An R/Bioconductor Package for Integrative Analysis with miRNA Data (2017) (49)
The role of learning methods in the dynamic assessment of power components loading capability (2005) (47)
Recursive Lazy Learning for Modeling and Control (1998) (47)
Inference and validation of predictive gene networks from biomedical literature and gene expression data. (2014) (43)
A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data (2007) (42)
Interpreting pathways to discover cancer driver genes with Moonlight (2020) (42)
A data analysis method for software performance prediction (2002) (41)
Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks (2015) (41)
Comparing RBF and Fuzzy Inference Systems on theoretical and practical basis (1995) (36)
Simulation and Forecasting in an Intermodal Container Terminal (1996) (36)
Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis. (2017) (34)
Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer (2015) (34)
An adaptive modular approach to the mining of sensor network data (2005) (33)
Protect us from poor-quality medical research. (2018) (33)
Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks (2011) (32)
Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis (2018) (30)
A Model Selection Approach for Local Learning (2000) (30)
Semi-Supervised Template Attack (2013) (30)
From Linearization to Lazy Learning: A Survey of Divide-and-Conquer Techniques for Nonlinear Control (Invited Paper) (2005) (28)
Using HDDT to avoid instances propagation in unbalanced and evolving data streams (2014) (27)
Machine learning strategies for multi-step-ahead time series forecasting (2014) (27)
Semiphysical modelling architecture for dynamic assessment of power components loading capability (2004) (26)
From dependency to causality: a machine learning approach (2014) (26)
Novel promoters and coding first exons in DLG2 linked to developmental disorders and intellectual disability (2017) (26)
Unsupervised and supervised compression with principal component analysis in wireless sensor networks (2007) (25)
Simulation and optimisation for management of intermodal terminals (1997) (24)
Long-term temozolomide treatment induces marked amino metabolism modifications and an increase in TMZ sensitivity in Hs683 oligodendroglioma cells. (2010) (24)
How interacting pathways are regulated by miRNAs in breast cancer subtypes (2016) (24)
Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data (2013) (23)
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages. (2016) (21)
Lazy Learners at work: the Lazy Learning Toolbox (1999) (20)
Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches (2002) (20)
Adaptive local learning techniques for multiple-step-ahead wind speed forecasting (2012) (19)
A Time Series Approach for Profiling Attack (2013) (19)
Improving the Exploration Strategy in Bandit Algorithms (2008) (19)
Principal component aggregation for energy efficient information extraction in wireless sensor networks (2008) (18)
An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection (2017) (18)
TCGAbiolinksGUI: A graphical user interface to analyze cancer molecular and clinical data (2018) (18)
Side Channel Attack (2013) (17)
The Lazy Learning Toolbox. For Use with Matlab (1999) (16)
Feature Selection in High-Dimensional Dataset Using MapReduce (2017) (16)
Distributed Principal Component Analysis for Wireless Sensor (2008) (16)
Lazy learning for iterated time-series prediction (1998) (16)
Comprehensive identification of long noncoding RNAs in colorectal cancer (2018) (15)
Biological Network Inference Using Redundancy Analysis (2007) (15)
Recursive Multi-step Time Series Forecasting by Perturbing Data (2011) (15)
Une plate-forme technologique liée à la paralysie cérébrale (2013) (15)
Feature selection methods for mining bioinformatics data (2005) (14)
The bias–variance decomposition in profiled attacks (2015) (14)
On the impact of entropy estimator in transcriptional regulatory network inference (2008) (14)
Local learning for data analysis (1998) (13)
Incremental learning strategies for credit cards fraud detection (2020) (13)
Is readability compatible with accuracy ? From Neuro-Fuzzy to Lazy Learning (1998) (13)
Adaptive memory based regression methods (1998) (13)
Lazy learning: a logical method for supervised learning (2002) (13)
A Meta-Analysis of Gene Expression Profiling Studies Identifies Clinically Relevant Oncogenic Pathways in Basal-Like Breast Cancer. (2009) (12)
Structural feature selection for wrapper methods (2005) (12)
Statistical foundations of machine learning (2013) (12)
Simulation of an intermodal container terminal to assist the management in the decision making process (1997) (12)
Comparison of Data Mining Techniques for Insurance Claim Prediction (2011) (11)
Inferring mutual information networks using the minet package (2008) (11)
Detecting man-made structure changes to assist geographic data producers in planning their update strategy, ISPRS (2010) (11)
Qua-SI. III: A Software Tool for Simulation of Fuzzy Dynamical Systems (1996) (11)
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting (2018) (11)
In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer (2018) (11)
Identification and assessment of gene signatures in human breast cancer (2009) (10)
Power cables' thermal protection by interval simulation of imprecise dynamical systems (2004) (10)
Simulation architecture for data processing algorithms in wireless sensor networks (2006) (10)
Moonlight: a tool for biological interpretation and driver genes discovery (2018) (9)
The use of intelligent data analysis techniques for system-level design: a software estimation example (2004) (9)
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia (2006) (9)
Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies (2017) (9)
Stability of feature selection algorithms for classification in high-throughput genomics datasets (2013) (8)
A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting (2017) (8)
Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study (2008) (8)
Sample average approximation for model selection (2004) (8)
An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios (2014) (7)
Inferring causal relationships using information-theoretic measures (2009) (7)
Relevance of different prior knowledge sources for inferring gene interaction networks (2014) (6)
A Page-Classification Approach to Web Usage Semantic Analysis (2007) (6)
On the Null Distribution of the Precision and Recall Curve (2014) (6)
Multiple-Output Modelling for Multi-Step-Ahead Forecasting (2009) (6)
Multiple-input multiple-output causal strategies for gene selection (2011) (6)
Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons (2020) (6)
Qua.Si.: a qualitative simulation approach for fuzzy models (1994) (6)
Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series (2021) (5)
Combining lazy learning, racing and subsampling for effective feature selection (2005) (5)
Enabling Multimedia QoS Control with Black-Box Modelling (2002) (5)
Does AutoML Outperform Naive Forecasting? (2021) (5)
Identification of a sensor model with hybrid neuro-fuzzy methods (1997) (5)
Lazy learning for control design (1998) (5)
Study of Meta-analysis strategies for network inference using information-theoretic approaches (2016) (5)
Toolbox for neuro-fuzzy Identification and data analysis, for use with matlab (1999) (5)
predictionet: Inference for predictive networks designed for (but not limited to) genomic data: R/Bioconductor (2012) (5)
Transcriptional Network Inference Based on Information Theory (2011) (5)
Time Series Prediction for Energy-Efficient Wireless Sensors: Applications to Environmental Monitoring and Video Games (2012) (5)
AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting (2021) (5)
Hyperscanning EEG and Classification Based on Riemannian Geometry for Festive and Violent Mental State Discrimination (2020) (5)
Transfer Learning Strategies for Credit Card Fraud Detection (2021) (4)
Comprehensive molecular analysis of several prognostic signatures using molecular indices related to hallmarks of breast cancer: proliferation index appears to be the most significant component of all signatures (2006) (4)
Simulating continuous dynamical systems under conditions of uncertainty: the probability and the possibility approaches (2004) (4)
A multi-steap ahead prediction method based on local dynamic properties (2000) (4)
Qua.Si. I and Qua.SI. II: A Qualitative Simulation Approach for Fuzzy Models (1994) (4)
Gaussian graphical model selection for gene regulatory network reverse engineering and function prediction (2009) (4)
A dynamic programming strategy to balance exploration and exploitation in the bandit problem (2010) (4)
Fuzzy models viewed as multi-expert networks (1997) (4)
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data (2008) (4)
The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2013) Racing for unbalanced methods selection (2013) (4)
The lazy package for R. Lazy learning for local regression (2003) (4)
Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients (2013) (4)
Cluster Analysis of On-Board-Unit Truck Big Data from the Brussels Capital Region (2018) (4)
Information‐Theoretic Gene Selection In Expression Data (2013) (4)
Human Activity Recognition Framework in Monitored Environments (2014) (4)
Limited Clinical Utility of Prognostic Gene Expression Profiles in Grade 3 Node-Negative Early Stage Breast Cancer. (2009) (4)
Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast Saccharomyces cerevisiae (2008) (4)
Minimum Redundancy Maximum Relevance: MapReduce implementation using Apache Hadoop (2014) (4)
Comments on M4 competition (2020) (4)
Biological mechanisms that trigger breast cancer (BC) tumor progression are molecular subtype dependent (2007) (3)
On-Board-Unit Data: A Big Data Platform for Scalable storage and Processing (2018) (3)
A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines (2022) (3)
Simulating Continuous dynamical systems with uncertainty: the probability and the possibility approaches (2004) (3)
Static and Dynamic Localization Techniques for Wireless Sensor Networks (2010) (3)
Comparison of Selection Strategies in Monte Carlo Tree Search for Computer Poker (2010) (3)
DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting (2022) (3)
Data-driven calibration of power conductors thermal model for overhead lines overload protection (2008) (3)
On the use of feature selection to deal with the curse of dimensionality in microarray datasets (2005) (3)
Modeling with uncertainty in continuous dynamical systems : the probability and possibility approach (2007) (3)
An Optimal Stopping Strategy for Online Calibration in Local Search (2011) (3)
D-peaks: A visual tool to display ChIP-seq peaks along the genome (2012) (3)
Transforming genomic grade index (GGI) into a user-friendly qRT-PCR tool which will assist clinicians and patients in optimizing treatment of early breast cancer (BC) (2007) (3)
Machine Learning for Automated Polyp Detection in Computed Tomography Colonography (2012) (3)
[A technological platform for cerebral palsy - the ICT4Rehab project]. (2013) (3)
A modular framework for user localization and tracking using machine learning techniques in wireless sensor networks (2008) (3)
A Monte Carlo strategy for structured multiple-step-ahead time series prediction (2014) (3)
Strategies for multi-step time series forecasting (2011) (3)
Real-time prediction of an anesthetic monitor index using machine learning (2011) (2)
OpenTED Browser: Insights into European Public Spendings (2016) (2)
Machine Learning Techniques for Decision Support in Anesthesia (2007) (2)
Improving Infinium MethylationEPIC data processing: re-annotation of enhancers and long noncoding RNA genes and benchmarking of normalization methods (2022) (2)
Lazy Learning Vs. Speedy Gonzales: A fast algorithm for recursive identification and recursive valid (1999) (2)
On the evolution of the expected gain of a greedy action in the bandit problem (2008) (2)
AIDAR: Une architecture pour l'indexation de documents audionumériques (2006) (2)
Qualitative simulation of approximate models: an approach based on fuzzy sets (1994) (2)
EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband (2020) (2)
Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification (2006) (2)
Predicting stock markets in boundary conditions with local models (2000) (2)
TCGAbiolinksGUI: A graphical user interface to analyze GDC cancer molecular and clinical data (2017) (2)
Sélection séquentielle en environnement aléatoire appliquée à l'apprentissage supervisé (2009) (2)
Fourier spectral factor model for prediction of multidimensional signals (2011) (2)
MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data (2020) (2)
Multiple-Output Modelling for Multi-Step-Ahead Time Series Forecasting (2010) (2)
Speeding up Feature Selection by Using an Information Theoretic Bound (2005) (2)
Estimation of temporal lags for the inference of gene regulatory networks from time series (inproceedings) Author (2012) (2)
A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting (2018) (2)
How to allocate a restricted budget of leave-one-out assessments for effective model selection in machine learning: a comparison of state-of-the-art techniques (2005) (2)
Qua . Si . III : a software tool for the simulation of fuzzy dynamical system (1996) (2)
An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models (2009) (2)
A tutorial on network-wide multi-horizon traffic forecasting with deep learning (2021) (2)
The CLAIRE COVID-19 initiative: approach, experiences and recommendations (2021) (2)
Développement d'instruments partagés pour la gestion et l'interprétation de données relatives à la locomoation : le projet ICT4Rehab (2013) (2)
Learning in wireless sensor networks for energy-efficient environmental monitoring (2009) (2)
Galectin-1 involvement in glioma chemoresistance. (2008) (1)
Spectral factor model for time series learning (2011) (1)
On the Integration of Prior Knowledge in the Inference of Regulatory Networks. (2013) (1)
A Selecting-the-Best Method for Budgeted Model Selection (2011) (1)
Scale-free Paradigm in Yeast Genetic Regulatory Network inferred from microarray data (2006) (1)
Impact of Filter Feature Selection on Classification: An Empirical Study (2022) (1)
A machine learning approach against a masked AES (2014) (1)
Multiple models for adaptive control: the lazy and the fuzzy approach (2000) (1)
Meta-Analysis in Transcriptional Network Inference (2009) (1)
Using shRNA experiments to validate gene regulatory networks (2015) (1)
[Orthodontic treatment in adults]. (1989) (1)
Analyses of cancer data in the Genomic Data Commons Data Portal with new functionalities in the TCGAbiolinks R/Bioconductor package (2018) (1)
Localization for wireless sensor networks with CC2420 radios (2007) (1)
Lazy learning vs. fuzzy systems: Two multiple-model approaches for adaptive control (2000) (1)
On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks (2020) (1)
Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae (2009) (1)
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production (2021) (1)
predictionet : a package for inferring predictive networks from high-dimensional genomic data (2016) (1)
Learning causal dependencies in large-variate time series (2020) (1)
The lazy package for R (2003) (1)
Data-Driven Techniques for Divide and Conquer Adaptive Control (2000) (1)
UvA-DARE (Digital Academic Repository) Analysing visitor flow using a Bluetooth positioning system Analysing visitor ﬂow using a Bluetooth positioning system (2019) (1)
A Framework for User Localization and Tracking using Machine Learning Techniques in Wireless Sensors Networks (2008) (1)
Riemannian classification of single-trial surface EEG and sources during checkerboard and navigational images in humans (2022) (0)
Wrapper Methods for Multi-Objective Feature Selection (2023) (0)
The role of diversity and ensemble learning in credit card fraud detection (2022) (0)
UvA-DARE (Digital Academic Repository) A residual neural-network model to predict visual cortex measurements (2019) (0)
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment (2022) (0)
Probing the randomness of the local current distributions of 316 L stainless steel corrosion in NaCl solution (2023) (0)
Machine learning for time series: from forecasting to causal inference (2022) (0)
Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention (2021) (0)
Retrospective comparison of manual versus semi-automated propofol-remifentanil TCI Anaesthesia (2006) (0)
Temozolomide displays antimigratory effects in human glioblastoma cells mediated through neuregulin-1 down-regulation (2009) (0)
The efficacy of the semi-automated closed-loop propofol-remifentanil effect-site versus manual TCI anaesthesia (2008) (0)
Preliminary Results of Data Mining in BIS guided Propofol-Remifentanil TCI Anaesthesia (2006) (0)
[Renal trauma. Diagnostic and therapeutic methods]. (1983) (0)
Round Robin CycleforPredictions inWireless SensorNetworks (2005) (0)
CHAPTER 1 INFORMATION-THEORETIC GENE SELECTION IN EXPRESSION DATA (2012) (0)
Continuation of metformin use after a diagnosis of cir- rhosis significantly improved survival of patients with type II diabetes (DM) (2013) (0)
A bound on the cross-validation estimate for algorithm assessment (1999) (0)
[Experience with an adjuvant chemotherapy program in stage II breast cancer]. (1984) (0)
Causal inference and prior integration in bioinformatics using information theory (2013) (0)
Calcul formel et numérique (2005) (0)
2009 Reviewer's List (2010) (0)
[The treatment of acute pancreatitis today. The experience of 126 surgical cases]. (1989) (0)
FOR GAIT ANALYSIS IN CHILDREN WITH CEREBRAL PALSY 1 (2013) (0)
[Surgical emergencies of the colon]. (1983) (0)
Decreasing Galectin-1 Expression in Human Hs683 Glioblastoma Cells Impairs their Response to Endoplasmic Reticulum Stress (2007) (0)
Adaptive data mining for sensor network data (2005) (0)
A Blocking Strategy for Ranking Features According to Probabilistic Relevance (2016) (0)
Innate cytokines production in the geriatric population: Frailty is associated with low responsiveness to lipopolysaccharide (2012) (0)
Fact sheet: Using mutual information to infer causal relationships Catharina (2008) (0)
A machine learning approach for automatic and generic side-channel attacks (2015) (0)
Gene Expression Analysis : Tamoxifen Resistance in Breast Cancer (2006) (0)
PP1.5 – 1899 Management and interpretation of medical data related to cerebral palsy: the ICT4 Rehab project (2013) (0)
Galectin-1 regulates p53 and is implicated in glioma cell resistance to cytotoxic drugs (2007) (0)
THE TIME TO DEFUZZIFY NEURO-FUZZY MODELS (0)
Inference of gene networks from time series expression data and application to type 1 Diabetes (2015) (0)
Data mining toolbox for gait analysis in children with cerebral palsy (2013) (0)
Towards Neuro-Fuzzy Defuzzification in Benelearn '95 (1995) (0)
Local methods for nonlinear control (1998) (0)
Data-driven validation of gene regulatory networks using knock-down data (2013) (0)
DiGeST: Distributed Computing for Scalable Gene and Variant Ranking with Hadoop/Spark (2017) (0)
Optimisation du datawarehouse OASIS (2010) (0)
Temozolomide displays anti-migratory effects in human glioblastoma cells through neuregulin down-regulation. (2008) (0)
University of Dundee Protect us from poor-quality medical research (2018) (0)
Predictive Modeling in a Big Data Distributed Setting: A Scalable Bias Correction Approach (2016) (0)
Gene Expression Analaysis of Tamoxifen Resistance in Breast Cancer (2006) (0)
AIDAR: Adressage et Indexation de documents multimédias assistés par des techniques de reconnaissance vocale (2005) (0)
The bias–variance decomposition in profiled attacks (2015) (0)
Multi-model and multi-value architectures in data analysis: an application to a real industrial problem (1997) (0)
seedEP2 : Integrated modeling of the musculoskeletal system. (2012) (0)
Fouille de donnée pour l'analyse de la marche de patients atteints d'infirmité motrice cérébrale (ICT4Rehab) (2013) (0)
Static and Dynamic Localization Techniques (2009) (0)
[Treatment of acute cholecystitis]. (1989) (0)
Multi-step-ahead prediction of volatility proxies (2017) (0)
Novel promoters and coding first exons in DLG2 linked to developmental disorders and intellectual disability (2017) (0)
Lazy learning indirect control for discrete time non-linear systems (1997) (0)
[Surgical emergencies in neoplastic pathology of the stomach]. (1985) (0)
Performance evaluation of machine learning techniques for the localization of users in wireless sensor networks (2008) (0)
On the Formal Foundation of Ant Programming (0)
[Treatment of acute occlusions of the colon of neoplastic origin]. (1986) (0)
Abstract 6283: Reannotation and normalisation of Infinium 850k data for improved analysis of methylation at enhancers and non-coding RNAs (2022) (0)
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization (2018) (0)
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference (2019) (0)
Management and interpretation of medical data related to cerebral pasly: the ICT4 Rehab project (2013) (0)
2010 TCBB Reviewers List (2011) (0)
On the use of supervised learning techniques to speed up the design of aeronautics components (2009) (0)
Demonstrating principal component aggregation for distributed spatial pattern recognition (2010) (0)
A Data Analysis Technique for Software Performance Prediction (2002) (0)
Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization (2018) (0)
How interacting pathways are regulated by miRNAs in breast cancer subtypes (2016) (0)
Interpreting pathways to discover cancer driver genes with Moonlight (2020) (0)
Abundance predictions of operational taxonomic units in ocean samples (2014) (0)
5 Principal Component Aggregation for Energy-Efﬁcient Information Extraction in Wireless Sensor Networks (2008) (0)
Analyzing molecular network perturbations in human cancer: application to mutated genes and gene fusions involved in acute lymphoblastic leukemia (2015) (0)
Microarray Data Generation and Analysis : Class Discovery and Class Prediction from Human Cancer Microarray Datasets (2006) (0)
Traffic Modeling with SUMO: a Tutorial (2023) (0)
Modélisation et simulation (2008) (0)
[Perforation of diverticula of the colon. Problems of surgical strategies]. (1985) (0)
Optimizing Component Combination in a Multi-Indexing Paragraph Retrieval System (2014) (0)
Model selection in meta-analytical framework for prototype-based clustering (2007) (0)
Integrating the molecular subtypes of breast cancer into a novel prognostic model (2009) (0)
Simulation assessment of a closed-loop controller designed by machine learning techniques. (2006) (0)
Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization (2018) (0)
Time series prediction in wireless sensor networks for energy saving (2009) (0)
Multiple-Input Multiple-Output Causal Strategies for Gene Selection you. (2012) (0)
Automatic Recognition for Map Update by Remote Sensing, final report. (2010) (0)
Combining Dynamic Programming and Neurocontrol: Some Basic Issues (1997) (0)
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting (2018) (0)
Is genomic grading killing histological grading (2006) (0)
The Induction Problem: A Machine Learning Vindication Argument (2019) (0)
A Statistic Criterion for Reducing Indeterminacy in Linear Causal Modeling (2013) (0)
Recherche intégrée relative à l’appareil musculosquelettique : application à la prise en charge clinique de l’infirmité motrice cérébrale (IMC) – le projet ICT4Rehab (2013) (0)
Unsupervised and Supervised Compression in Wireless Sensor Networks (2007) (0)
Local Learning for Nonlinear Control (1998) (0)
[Diagnosis and therapy of biliary lithiasis]. (1985) (0)
A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets (2008) (0)
Latent Causation: An algorithm for pairs of correlated latent variables in Linear Non-Gaussian Structural Equation Modeling (2020) (0)
Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons (2020) (0)

This paper list is powered by the following services:

What Schools Are Affiliated With Gianluca Bontempi?

Gianluca Bontempi is affiliated with the following schools:

Gianluca Bontempi's Academic­Influence.com Rankings

Gianluca Bontempi's Degrees

Similar Degrees You Can Earn

Why Is Gianluca Bontempi Influential?

Gianluca Bontempi's Published Works

Published Works

What Schools Are Affiliated With Gianluca Bontempi?

Gianluca Bontempi's AcademicInfluence.com Rankings