Tin Kam Ho

96 papers A* 2A 6B 16C 3Journal 41Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study.
CoRR
Maja Vukovic, Rangeet Pan, Tin Kam Ho, Rahul Krishna, Raju Pavuluri, Michele Merler
2022 B conf
Complexity of Representations in Deep Learning.
ICPR
Tin Kam Ho
2022 J jnl
Complexity of Representations in Deep Learning.
CoRR
Tin Kam Ho
2022 J jnl
Explainability of Methods for Critical Information Extraction From Clinical Documents: A survey of representative works.
IEEE Signal Process. Mag.
Tin Kam Ho, Yen-Fu Luo, Rodrigo Capobianco Guido
2022 J jnl
Interpretability, Reproducibility, and Replicability [From the Guest Editors].
IEEE Signal Process. Mag.
Tülay Adali, Rodrigo Capobianco Guido, Tin Kam Ho, Klaus-Robert Müller, Stephen C. Strother
2020 A* conf
Iterative Data Programming for Expanding Text Classification Corpora.
AAAI
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
2020 J jnl
Iterative Data Programming for Expanding Text Classification Corpora.
CoRR
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
2020 — ed.
Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020.
aiDM@SIGMOD
Rajesh Bordawekar, Oded Shmueli, Nesime Tatbul, Tin Kam Ho
2020 J jnl
Special issue on recent advances in statistical, structural and syntactic pattern recognition.
Pattern Recognit. Lett.
Xiao Bai, Edwin R. Hancock, Richard C. Wilson, Tin Kam Ho
2019 A* conf
Bootstrapping Conversational Agents with Weak Supervision.
AAAI
Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor
2019 J jnl
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity.
ACM Comput. Surv.
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
2018 J jnl
Bootstrapping Conversational Agents With Weak Supervision.
CoRR
Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor
2018 B conf
Classifier Recommendation Using Data Complexity Measures.
ICPR
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
2018 J jnl
How Complex is your classification problem? A survey on measuring classification complexity.
CoRR
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
2018 — ed.
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings
S+SSPR
Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly
2017 J jnl
A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids.
IEEE Trans. Smart Grid
Chun-Nam Yu, Piotr Mirowski, Tin Kam Ho
2016 — conf
Concept Evolution Modeling Using Semantic Vectors.
WWW (Companion Volume)
Tin Kam Ho, Luis A. Lastras, Oded Shmueli
2015 B conf
Design of the 2015 ChaLearn AutoML challenge.
IJCNN
Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Núria Macià, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas
2015 J jnl
Mitigating Mimicry Attacks Against the Session Initiation Protocol.
IEEE Trans. Netw. Serv. Manag.
Samuel Marchal, Anil Mehta, Vijay K. Gurbani, Radu State, Tin Kam Ho, Flavia Sancier-Barbosa
2014 J jnl
A Multi-Layer Dynamic Model for Customer Experience Analytics.
Bell Labs Tech. J.
Sining Chen, Tin Kam Ho, Avinash Vyas, Jin Cao, Jeffrey Spiess
2014 B conf
Building Optimal Radio-Frequency Signal Maps.
ICPR
Piotr Mirowski, Tin Kam Ho, Philip Whiting
2014 J jnl
Demand Forecasting in Smart Grids.
Bell Labs Tech. J.
Piotr Mirowski, Sining Chen, Tin Kam Ho, Chun-Nam Yu
2014 J jnl
Motion feature filtering for event detection in crowded scenes.
Pattern Recognit. Lett.
Lawrence O'Gorman, Yafeng Yin, Tin Kam Ho
2014 J jnl
Overview.
Bell Labs Tech. J.
Tin Kam Ho, Philippe Jacquet
2014 B conf
Pose Invariant Activity Classification for Multi-floor Indoor Localization.
ICPR
Saehoon Yi, Piotr Mirowski, Tin Kam Ho, Vladimir Pavlovic
2014 J jnl
Probabilistic Radio-Frequency Fingerprinting and Localization on the Run.
Bell Labs Tech. J.
Piotr Mirowski, Dimitris Milioris, Philip Whiting, Tin Kam Ho
2013 J jnl
Learner excellence biased by data set selection: A case for data characterisation and artificial data sets.
Pattern Recognit.
Núria Macià, Ester Bernadó-Mansilla, Albert Orriols-Puig, Tin Kam Ho
2013 C conf
SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals.
IPIN
Piotr Mirowski, Tin Kam Ho, Saehoon Yi, Michael MacDonald
2012 — conf
Depth camera SLAM on a low-cost WiFi mapping robot.
TePRA
Piotr Mirowski, Ravishankar Palaniappan, Tin Kam Ho
2012 B conf
Improving cross-validation based classifier selection using meta-learning.
ICPR
Jesse H. Krijthe, Tin Kam Ho, Marco Loog
2012 — conf
On using multiple classifier systems for Session Initiation Protocol (SIP) anomaly detection.
ICC
Anil Mehta, Neda Hantehzadeh, Vijay K. Gurbani, Tin Kam Ho, Flavia Sander
2012 J jnl
Probability kernel regression for WiFi localisation.
J. Locat. Based Serv.
Piotr Mirowski, Philip Whiting, Harald Steck, Ravishankar Palaniappan, Michael MacDonald, Detlef Hartmann, Tin Kam Ho
2012 J jnl
Public Space Behavior Modeling With Video and Sensor Analytics.
Bell Labs Tech. J.
Tin Kam Ho, Kim Matthews, Lawrence O'Gorman, Harald Steck
2011 C conf
KL-divergence kernel regression for non-Gaussian fingerprint based localization.
IPIN
Piotr Mirowski, Harald Steck, Philip Whiting, Ravishankar Palaniappan, Michael MacDonald, Tin Kam Ho
2011 — conf
On the inefficacy of Euclidean classifiers for detecting self-similar Session Initiation Protocol (SIP) messages.
Integrated Network Management
Anil Mehta, Neda Hantehzadeh, Vijay K. Gurbani, Tin Kam Ho, Jun Koshiko, Ramanarayanan Viswanathan
2011 — conf
Statistical Analysis of Self-Similar Session Initiation Protocol (SIP) Messages for Anomaly Detection.
NTMS
Neda Hantehzadeh, Anil Mehta, Vijay K. Gurbani, Lalit Gupta, Tin Kam Ho, Gayan Wilathgamuwa
2010 J jnl
A diagnostic tool for Raman amplification in ultra-long-haul networks.
Bell Labs Tech. J.
Thomas Bengtsson, Tin Kam Ho, Todd Salamon, Christopher A. White
2010 — ch.
Model-Based Anomaly Detection for a Transparent Optical Transmission System.
Algorithms for Next Generation Networks
Thomas Bengtsson, Todd Salamon, Tin Kam Ho, Christopher A. White
2010 — conf
The Landscape Contest at ICPR 2010.
ICPR Contests
Núria Macià, Tin Kam Ho, Albert Orriols-Puig, Ester Bernadó-Mansilla
2009 J jnl
An Online Mechanism for BGP Instability Detection and Analysis.
IEEE Trans. Computers
Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar
2009 J jnl
Opportunities for automated inference with data in tomorrow's communication networks and services.
Bell Labs Tech. J.
Tin Kam Ho, Thomas Bengtsson
2008 — conf
Data Complexity Analysis: Linkage between Context and Solution in Classification.
SSPR/SPR
Tin Kam Ho
2008 — conf
Data Complexity Analysis: Linkage between Context and Solution in Classification.
SSPR/SPR
Tin Kam Ho
2008 — conf
Generating hypotheses of trends in high-dimensional data skeletons.
IEEE VAST
Chandan K. Reddy, Snehal Pokharkar, Tin Kam Ho
2008 J jnl
Intuitive network applications: Learning user context and behavior.
Bell Labs Tech. J.
Nilton Bila, Jin Cao, Robert Dinoff, Tin Kam Ho, Bharat Kumar, Daniel F. Lieuwen, Paulo Santos
2008 B conf
Mobile User Profile Acquisition through Network Observables and Explicit User Queries.
MDM
Nilton Bila, Jin Cao, Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Paulo Santos
2007 J jnl
Intuitive Network Applications: Learning for Personalized Converged Services Involving Social Networks.
J. Comput.
Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Paulo Santos, Haobo Ren
2006 C conf
A Statistical Approach to Anomaly Detection in Interdomain Routing.
BROADNETS
Shivani Deshpande, Marina Thottan, Tin Kam Ho, Biplab Sikdar
2006 — conf
Class Separability in Spaces Reduced By Feature Selection.
ICPR (3)
Erinija Pranckeviciene, Tin Kam Ho, Ray L. Somorjai
2006 B conf
Exploratory Analysis System for Semi-structured Engineering Logs.
Document Analysis Systems
Michael Flaster, Bruce Hillyer, Tin Kam Ho
2006 — conf
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination.
DMIN
Iryna Skrypnyk, Tin Kam Ho
2006 J jnl
Recent submissions in linear dimensionality reduction and face recognition.
Pattern Recognit. Lett.
Robert P. W. Duin, Marco Loog, Tin Kam Ho
2006 — conf
Symmetries from Uniform Space Covering in Stochastic Discrimination.
SSPR/SPR
Tin Kam Ho
2005 J jnl
Article retraction: Least-squares fitting for deformable superquadric model based on orthogonal distance.
Pattern Recognit. Lett.
Tin Kam Ho
2005 J jnl
Domain of competence of XCS classifier system in complexity measurement space.
IEEE Trans. Evol. Comput.
Ester Bernadó-Mansilla, Tin Kam Ho
2005 J jnl
Editorial.
Pattern Recognit. Lett.
Tin Kam Ho
2005 J jnl
Simulation of power evolution and control dynamics in optical transport systems.
Bell Labs Tech. J.
Tin Kam Ho, Todd Salamon, Roland W. Freund, Christopher A. White, Bruce Hillyer, Lawrence C. Cowsar, Carl J. Nuzman, Daniel C. Kilper
2004 J jnl
A Numerical Example on the Principles of Stochastic Discrimination
CoRR
Tin Kam Ho
2004 J jnl
Geometrical Complexity of Classification Problems
CoRR
Tin Kam Ho
2004 — conf
Interactive Tools for Pattern Discovery.
ICPR (2)
Tin Kam Ho
2004 — conf
On Classifier Domains of Competence.
ICPR (1)
Ester Bernadó i Mansilla, Tin Kam Ho
2003 J jnl
SEQUIN: An SNMP-based MPLS network monitoring system.
Bell Labs Tech. J.
Marina Thottan, George K. Swanson, Michael Cantone, Tin Kam Ho, Yansong (Jennifer) Ren, Sanjoy Paul
2002 J jnl
A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors.
Pattern Anal. Appl.
Tin Kam Ho
2002 J jnl
Complexity Measures of Supervised Classification Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Tin Kam Ho, Mitra Basu
2002 — conf
Exploratory Analysis of Point Proximity in Subspaces.
ICPR (2)
Tin Kam Ho
2002 — conf
Uniformity Testing Using Minimal Spanning Tree.
ICPR (4)
Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao
2001 — conf
Data Complexity Analysis for Classifier Combination.
Multiple Classifier Systems
Tin Kam Ho
2001 A conf
Exploration of Contextual Constraints for Character Pre-Classification.
ICDAR
Tin Kam Ho, George Nagy
2000 — conf
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers.
Multiple Classifier Systems
Tin Kam Ho
2000 — conf
Evaluation of decision forests on text categorization.
Document Recognition and Retrieval
Hao Chen, Tin Kam Ho
2000 B conf
Measuring the Complexity of Classification Problems.
ICPR
Tin Kam Ho, Mitra Basu
2000 B conf
OCR with No Shape Training.
ICPR
Tin Kam Ho, George Nagy
2000 J jnl
Stop word location and identification for adaptive text recognition.
Int. J. Document Anal. Recognit.
Tin Kam Ho
1999 A conf
Fast Identification of Stop Words for Font Learning and Keyword Spotting.
ICDAR
Tin Kam Ho
1999 B conf
The learning behavior of single neuron classifiers on linearly separable or nonseparable input.
IJCNN
Mitra Basu, Tin Kam Ho
1998 B conf
Bootstrapping text recognition from stop words.
ICPR
Tin Kam Ho
1998 B conf
C4.5 decision forests.
ICPR
Tin Kam Ho
1998 — conf
Nearest Neighbors in Random Subspaces.
SSPR/SPR
Tin Kam Ho
1998 J jnl
Pattern Classification with Compact Distribution Maps.
Comput. Vis. Image Underst.
Tin Kam Ho, Henry S. Baird
1998 J jnl
The Random Subspace Method for Constructing Decision Forests.
IEEE Trans. Pattern Anal. Mach. Intell.
Tin Kam Ho
1997 A conf
Enhancing Degraded Document Images via Bitmap Clustering and Averaging.
ICDAR
John D. Hobby, Tin Kam Ho
1997 J jnl
Large-Scale Simulation Studies in Image Pattern Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Tin Kam Ho, Henry S. Baird
1996 B conf
Adaptive Coordination of Multiple Classifiers.
DAS
Tin Kam Ho
1996 B conf
Building projectable classifiers of arbitrary complexity.
ICPR
Tin Kam Ho, Eugene M. Kleinberg
1996 B conf
Commercial Exploitation of OCR and Document Analysis Systems Technology: Market and User Requirements: das'96 Working Group Report.
DAS
Stefan Knerr, Tin Kam Ho
1995 A conf
Random decision forests.
ICDAR
Tin Kam Ho
1995 — conf
Selection of image features for distribution-map classifiers.
Document Recognition
Tin Kam Ho
1994 J jnl
Decision Combination in Multiple Classifier Systems.
IEEE Trans. Pattern Anal. Mach. Intell.
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
1994 — conf
Estimating the intrinsic difficulty of a recognition problem.
ICPR (2)
Tin Kam Ho, Henry S. Baird
1993 A conf
Perfect metrics.
ICDAR
Tin Kam Ho, Henry S. Baird
1993 A conf
Recognition of handwritten digits by combining independent learning vector quantizations.
ICDAR
Tin Kam Ho
1992 J jnl
A computational model for recognition of multifont word images.
Mach. Vis. Appl.
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
1992 — conf
A hypothesis testing approach to word recognition using dynamic feature selection.
ICPR (2)
Liang Li, Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
1992 J jnl
A word shape analysis approach to lexicon based word recognition.
Pattern Recognit. Lett.
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
1992 — conf
On multiple classifier systems for pattern recognition.
ICPR (2)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
1992 — conf
World image matching as a technique for degraded text recognition.
ICPR (2)
Jonathan J. Hull, Siamak Khoubyari, Tin Kam Ho